2025-12-04T08:25:36.6593108Z Current runner version: '2.330.0' 2025-12-04T08:25:36.6599160Z Runner name: 'i-0b9d551adbd892c98' 2025-12-04T08:25:36.6600367Z Runner group name: 'default' 2025-12-04T08:25:36.6601682Z Machine name: 'ip-10-0-22-86' 2025-12-04T08:25:36.6604575Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T08:25:36.6607138Z Contents: read 2025-12-04T08:25:36.6607677Z Metadata: read 2025-12-04T08:25:36.6608087Z ##[endgroup] 2025-12-04T08:25:36.6610361Z Secret source: Actions 2025-12-04T08:25:36.6611223Z Prepare workflow directory 2025-12-04T08:25:36.7059464Z Prepare all required actions 2025-12-04T08:25:36.7094918Z Getting action download info 2025-12-04T08:25:37.0198056Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T08:25:39.4276206Z Download action repository 'pytorch/pytorch@main' (SHA:ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:25:55.1265716Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T08:25:55.5060364Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T08:25:55.7868435Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T08:25:55.9908266Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:25:56.2295458Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T08:25:56.5138716Z Getting action download info 2025-12-04T08:25:56.6252090Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T08:25:57.3192755Z Getting action download info 2025-12-04T08:25:57.4447646Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T08:25:57.6485393Z Getting action download info 2025-12-04T08:25:57.7634925Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T08:25:57.9406866Z Getting action download info 2025-12-04T08:25:58.0922722Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:25:58.0926278Z ##[group] Inputs 2025-12-04T08:25:58.0926642Z build-environment: linux-jammy-py3.10-gcc11-build 2025-12-04T08:25:58.0928570Z 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"}]} 2025-12-04T08:25:58.0930745Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:25:58.0931432Z sync-tag: 2025-12-04T08:25:58.0932205Z timeout-minutes: 240 2025-12-04T08:25:58.0932489Z use-gha: 2025-12-04T08:25:58.0932734Z dashboard-tag: 2025-12-04T08:25:58.0933020Z s3-bucket: gha-artifacts 2025-12-04T08:25:58.0933558Z aws-role-to-assume: 2025-12-04T08:25:58.0934147Z disable-monitor: false 2025-12-04T08:25:58.0934448Z monitor-log-interval: 5 2025-12-04T08:25:58.0934771Z monitor-data-collect-interval: 1 2025-12-04T08:25:58.0935077Z ##[endgroup] 2025-12-04T08:25:58.0935500Z Complete job name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:25:58.1348157Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T08:25:58.1431006Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T08:25:58.1438546Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:25:58.1439030Z ##[endgroup] 2025-12-04T08:25:59.1279556Z Runner Type: linux.2xlarge.amx 2025-12-04T08:25:59.1280158Z Instance Type: m7i-flex.2xlarge 2025-12-04T08:25:59.1280485Z AMI Name: unknown 2025-12-04T08:25:59.1310735Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T08:26:03.9022495Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T08:26:03.9022850Z with: 2025-12-04T08:26:03.9023455Z github-secret: *** 2025-12-04T08:26:03.9023948Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T08:26:03.9024449Z activate-with-label: false 2025-12-04T08:26:03.9024668Z label: with-ssh 2025-12-04T08:26:03.9024860Z remove-existing-keys: true 2025-12-04T08:26:03.9025058Z fail-silently: true 2025-12-04T08:26:03.9025259Z env: 2025-12-04T08:26:03.9025430Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:26:03.9025643Z ##[endgroup] 2025-12-04T08:26:04.0406150Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T08:26:04.0407542Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T08:26:04.0560647Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T08:26:04.0561010Z with: 2025-12-04T08:26:04.0561554Z no-sudo: true 2025-12-04T08:26:04.0561777Z submodules: recursive 2025-12-04T08:26:04.0561979Z fetch-depth: 0 2025-12-04T08:26:04.0562165Z env: 2025-12-04T08:26:04.0562339Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:26:04.0562539Z ##[endgroup] 2025-12-04T08:26:04.0645509Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:26:04.0646455Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:26:04.0654390Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:26:04.0654665Z env: 2025-12-04T08:26:04.0654865Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:26:04.0655115Z ##[endgroup] 2025-12-04T08:26:04.0750335Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T08:26:04.0750700Z # Use all available CPUs for fetching 2025-12-04T08:26:04.0750951Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:26:04.0751196Z git config --global fetch.parallel 0 2025-12-04T08:26:04.0751487Z git config --global submodule.fetchJobs 0 2025-12-04T08:26:04.0751732Z  2025-12-04T08:26:04.0752079Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T08:26:04.0752427Z # do it here as well just in case 2025-12-04T08:26:04.0752665Z if [[ -d .git ]]; then 2025-12-04T08:26:04.0752893Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:26:04.0753117Z  sudo git clean -ffdx 2025-12-04T08:26:04.0753329Z  else 2025-12-04T08:26:04.0753514Z  git clean -ffdx 2025-12-04T08:26:04.0753702Z  fi 2025-12-04T08:26:04.0753869Z fi 2025-12-04T08:26:04.0758711Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:26:04.0758978Z env: 2025-12-04T08:26:04.0759150Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:26:04.0759344Z NO_SUDO: true 2025-12-04T08:26:04.0759510Z ##[endgroup] 2025-12-04T08:26:04.0885881Z ##[group]Run actions/checkout@v4 2025-12-04T08:26:04.0886153Z with: 2025-12-04T08:26:04.0886368Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:26:04.0886616Z fetch-depth: 0 2025-12-04T08:26:04.0886812Z submodules: recursive 2025-12-04T08:26:04.0887014Z show-progress: false 2025-12-04T08:26:04.0887214Z repository: pytorch/pytorch 2025-12-04T08:26:04.0887576Z token: *** 2025-12-04T08:26:04.0887754Z ssh-strict: true 2025-12-04T08:26:04.0887934Z ssh-user: git 2025-12-04T08:26:04.0888115Z persist-credentials: true 2025-12-04T08:26:04.0888320Z clean: true 2025-12-04T08:26:04.0888516Z sparse-checkout-cone-mode: true 2025-12-04T08:26:04.0888731Z fetch-tags: false 2025-12-04T08:26:04.0888915Z lfs: false 2025-12-04T08:26:04.0889135Z set-safe-directory: true 2025-12-04T08:26:04.0889340Z env: 2025-12-04T08:26:04.0889515Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:26:04.0889711Z ##[endgroup] 2025-12-04T08:26:04.1811020Z Syncing repository: pytorch/pytorch 2025-12-04T08:26:04.1812231Z ##[group]Getting Git version info 2025-12-04T08:26:04.1812583Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:26:04.1813052Z [command]/usr/bin/git version 2025-12-04T08:26:04.1995965Z git version 2.50.1 2025-12-04T08:26:04.2018160Z ##[endgroup] 2025-12-04T08:26:04.2035710Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/25428ab6-a0b2-4d8d-91fe-e5cc51ebaa8b/.gitconfig' 2025-12-04T08:26:04.2060689Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/25428ab6-a0b2-4d8d-91fe-e5cc51ebaa8b' before making global git config changes 2025-12-04T08:26:04.2061435Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T08:26:04.2075511Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:26:04.2123560Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:26:04.2127132Z ##[group]Initializing the repository 2025-12-04T08:26:04.2131824Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:26:04.2204731Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T08:26:04.2205280Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T08:26:04.2205691Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T08:26:04.2205993Z hint: 2025-12-04T08:26:04.2206249Z hint: git config --global init.defaultBranch 2025-12-04T08:26:04.2206511Z hint: 2025-12-04T08:26:04.2206760Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T08:26:04.2207207Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T08:26:04.2207506Z hint: 2025-12-04T08:26:04.2207689Z hint: git branch -m 2025-12-04T08:26:04.2207890Z hint: 2025-12-04T08:26:04.2208145Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T08:26:04.2216313Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T08:26:04.2229467Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T08:26:04.2272164Z ##[endgroup] 2025-12-04T08:26:04.2272555Z ##[group]Disabling automatic garbage collection 2025-12-04T08:26:04.2275496Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T08:26:04.2299399Z ##[endgroup] 2025-12-04T08:26:04.2299770Z ##[group]Setting up auth 2025-12-04T08:26:04.2306421Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T08:26:04.2338611Z [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' || :" 2025-12-04T08:26:04.2692831Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T08:26:04.2721072Z [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' || :" 2025-12-04T08:26:04.3026007Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T08:26:04.3053720Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T08:26:04.3334125Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:26:04.3380364Z ##[endgroup] 2025-12-04T08:26:04.3380783Z ##[group]Fetching the repository 2025-12-04T08:26:04.3385362Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T08:27:02.0502772Z From https://github.com/pytorch/pytorch 2025-12-04T08:27:02.0503364Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T08:27:02.0503937Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T08:27:02.0504344Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T08:27:02.0504846Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T08:27:02.0505317Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T08:27:02.0505863Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T08:27:02.0506387Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T08:27:02.0507674Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T08:27:02.0508069Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T08:27:02.0508577Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T08:27:02.0509044Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T08:27:02.0509502Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T08:27:02.0509863Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T08:27:02.0510371Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T08:27:02.0510748Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T08:27:02.0511298Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T08:27:02.0512463Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T08:27:02.0513617Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T08:27:02.0514080Z * [new branch] adi/test -> origin/adi/test 2025-12-04T08:27:02.0515129Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T08:27:02.0515739Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T08:27:02.0516514Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T08:27:02.0517280Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T08:27:02.0518122Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T08:27:02.0518919Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T08:27:02.0522266Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T08:27:02.0522778Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T08:27:02.0524677Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T08:27:02.0526196Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T08:27:02.0526571Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T08:27:02.0527218Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T08:27:02.0527640Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T08:27:02.0528065Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T08:27:02.0528506Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T08:27:02.0528936Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T08:27:02.0529736Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T08:27:02.0530186Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T08:27:02.0530966Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T08:27:02.0532174Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T08:27:02.0532568Z * [new branch] angelayi/side_eff -> origin/angelayi/side_eff 2025-12-04T08:27:02.0533820Z * [new branch] angelayi/state_dict -> origin/angelayi/state_dict 2025-12-04T08:27:02.0535951Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-12-04T08:27:02.0537059Z * [new branch] angelayi/symm_mem -> origin/angelayi/symm_mem 2025-12-04T08:27:02.0537488Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-12-04T08:27:02.0537878Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-12-04T08:27:02.0538763Z * [new branch] annotate_assert -> origin/annotate_assert 2025-12-04T08:27:02.0539148Z * [new branch] annotate_fallback_kernel -> origin/annotate_fallback_kernel 2025-12-04T08:27:02.0539541Z * [new branch] annotation_deepcopy -> origin/annotation_deepcopy 2025-12-04T08:27:02.0539919Z * [new branch] annotation_dynamo -> origin/annotation_dynamo 2025-12-04T08:27:02.0540640Z * [new branch] aot_eager_stack_trace -> origin/aot_eager_stack_trace 2025-12-04T08:27:02.0541181Z * [new 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zhxchen17/export/disable_side_effect_warn -> origin/zhxchen17/export/disable_side_effect_warn 2025-12-04T08:27:02.4581648Z * [new branch] zhxchen17/export/pytree_check -> origin/zhxchen17/export/pytree_check 2025-12-04T08:27:02.4583030Z * [new branch] zhxchen17/precompile/aoti -> origin/zhxchen17/precompile/aoti 2025-12-04T08:27:02.4584279Z * [new branch] zhxchen17/precompile/globals -> origin/zhxchen17/precompile/globals 2025-12-04T08:27:02.4584641Z * [new branch] zhxchen17/precompile/inductor_guards -> origin/zhxchen17/precompile/inductor_guards 2025-12-04T08:27:02.4585212Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-12-04T08:27:02.4586345Z * [new branch] zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update 2025-12-04T08:27:02.4589439Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-12-04T08:27:02.4589729Z * [new branch] zxiiro/build-times -> origin/zxiiro/build-times 2025-12-04T08:27:02.4589896Z * [new branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T08:27:02.4590216Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T08:27:02.4593189Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T08:27:02.4593385Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T08:27:02.4593569Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T08:27:02.4593901Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T08:27:02.4594027Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T08:27:02.4594618Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T08:27:02.4594880Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T08:27:02.4595426Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T08:27:02.4595810Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T08:27:02.4596911Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T08:27:02.4597280Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T08:27:02.4597549Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T08:27:02.4598392Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T08:27:02.4598740Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T08:27:02.4599698Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T08:27:02.4599899Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T08:27:02.4601334Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T08:27:02.4602606Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T08:27:02.4602740Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T08:27:02.4602999Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T08:27:02.4604055Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T08:27:02.4605725Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T08:27:02.4605853Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T08:27:02.4606288Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T08:27:02.4606441Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T08:27:02.4607075Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T08:27:02.4607538Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T08:27:02.4608252Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T08:27:02.4610053Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T08:27:02.4610559Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T08:27:02.4610684Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T08:27:02.4610895Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T08:27:02.4613069Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T08:27:02.4613263Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T08:27:02.4613628Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T08:27:02.4613764Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T08:27:02.4613903Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T08:27:02.4614040Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T08:27:02.4614183Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T08:27:02.4614539Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T08:27:02.4615085Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T08:27:02.4616085Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T08:27:02.4616247Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T08:27:02.4616833Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T08:27:02.4617225Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T08:27:02.4617784Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T08:27:02.4618233Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T08:27:02.4618781Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T08:27:02.4619186Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T08:27:02.4619873Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T08:27:02.4620259Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T08:27:02.4620755Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T08:27:02.4622461Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T08:27:02.4622732Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T08:27:02.4622851Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T08:27:02.4623457Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T08:27:02.4624083Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T08:27:02.4624511Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T08:27:02.4625127Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T08:27:02.4625547Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T08:27:02.4626066Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T08:27:02.4626456Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T08:27:02.4627535Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T08:27:02.4627998Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T08:27:02.4628727Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T08:27:02.4629148Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T08:27:02.4630094Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T08:27:02.4630749Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T08:27:02.4631152Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T08:27:02.4631827Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T08:27:02.4632449Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T08:27:02.4632994Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T08:27:02.4633581Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T08:27:02.4634030Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T08:27:02.4635064Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T08:27:02.4635432Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T08:27:02.4636893Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T08:27:02.4637147Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T08:27:02.4637411Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T08:27:02.4637613Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T08:27:02.4638221Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T08:27:02.4638589Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T08:27:02.4639317Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T08:27:02.4639547Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T08:27:02.4640468Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T08:27:02.4640732Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T08:27:02.4641782Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T08:27:02.4642075Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T08:27:02.4642634Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T08:27:02.4643049Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T08:27:02.4643931Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T08:27:02.4644125Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T08:27:02.4644604Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T08:27:02.4645036Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T08:27:02.4646109Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-12-04T08:27:02.4646328Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T08:27:02.4646627Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T08:27:02.4647091Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T08:27:02.4648578Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T08:27:02.4648747Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T08:27:02.4649194Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T08:27:02.4649642Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T08:27:02.4650152Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T08:27:02.4650636Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T08:27:02.4651117Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T08:27:02.4651631Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T08:27:02.4653088Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T08:27:02.4653319Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T08:27:02.4653445Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T08:27:02.4655544Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T08:27:02.4655717Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T08:27:02.4655856Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T08:27:02.4655989Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T08:27:02.4656120Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T08:27:02.4657586Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T08:27:02.4657721Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T08:27:02.4657853Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T08:27:02.4657977Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T08:27:02.4658728Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T08:27:02.4658960Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T08:27:02.4659817Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T08:27:02.4660059Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T08:27:02.4660585Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T08:27:02.4661183Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T08:27:02.4661650Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T08:27:02.4662857Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T08:27:02.4662995Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T08:27:02.4665330Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T08:27:02.4665512Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T08:27:02.4665659Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T08:27:02.4665804Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T08:27:02.4665964Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T08:27:02.4667442Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T08:27:02.4667664Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T08:27:02.4667793Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T08:27:02.4667934Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T08:27:02.4668198Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T08:27:02.4669090Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T08:27:02.4669386Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T08:27:02.4670039Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T08:27:02.4670510Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T08:27:02.4671776Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T08:27:02.4671970Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T08:27:02.4672135Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T08:27:02.4672454Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T08:27:02.4672884Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T08:27:02.4673352Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T08:27:02.4675142Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T08:27:02.4675340Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T08:27:02.4675472Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T08:27:02.4675599Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T08:27:02.4675938Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T08:27:02.4676351Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T08:27:02.4676851Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T08:27:02.4677298Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T08:27:02.4678270Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T08:27:02.4678456Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T08:27:02.4678930Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T08:27:02.4679416Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T08:27:02.4680288Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T08:27:02.4680731Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T08:27:02.4681511Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T08:27:02.4681780Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T08:27:02.4682927Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T08:27:02.4683567Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T08:27:02.4683704Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T08:27:02.4683839Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T08:27:02.4684394Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T08:27:02.4684797Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T08:27:02.4685569Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T08:27:02.4685865Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T08:27:02.4686427Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T08:27:02.4686833Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T08:27:02.4691417Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T08:27:02.4692320Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T08:27:02.4692562Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T08:27:02.4692877Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T08:27:02.4693019Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T08:27:02.4693145Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T08:27:02.4693317Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T08:27:02.4693443Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T08:27:02.4693565Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T08:27:02.4693718Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T08:27:02.4693844Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T08:27:02.4693973Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T08:27:02.4694097Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T08:27:02.4694623Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T08:27:02.4695126Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T08:27:02.4695516Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T08:27:02.4695732Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T08:27:02.4696659Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T08:27:02.4697543Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T08:27:02.4697766Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T08:27:02.4698570Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T08:27:02.4698844Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T08:27:02.4699922Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T08:27:02.4700169Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T08:27:02.4700299Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T08:27:02.4703089Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T08:27:02.4703311Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T08:27:02.4703587Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T08:27:02.4703734Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T08:27:02.4703860Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T08:27:02.4703999Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T08:27:02.4706386Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T08:27:02.4706624Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T08:27:02.4706762Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T08:27:02.4706885Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T08:27:02.4707008Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T08:27:02.4709370Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T08:27:02.4709517Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T08:27:02.4709656Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T08:27:02.4709912Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T08:27:02.4710035Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T08:27:02.4713257Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T08:27:02.4713414Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T08:27:02.4713560Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T08:27:02.4713692Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T08:27:02.4713828Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T08:27:02.4713994Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T08:27:02.4714306Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T08:27:02.4714804Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T08:27:02.4714995Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T08:27:02.4715498Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T08:27:02.4715763Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T08:27:02.4716705Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T08:27:02.4717053Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T08:27:02.4718327Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T08:27:02.4718756Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T08:27:02.4718888Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T08:27:02.4719600Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T08:27:02.4719885Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T08:27:02.4720091Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T08:27:02.4721334Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T08:27:02.4721845Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T08:27:02.4721994Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T08:27:02.4722141Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T08:27:02.4722788Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T08:27:02.4723322Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T08:27:02.4723696Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T08:27:02.4727040Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T08:27:02.4727213Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T08:27:02.4727355Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T08:27:02.4727479Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T08:27:02.4727616Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T08:27:02.4727744Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T08:27:02.4727882Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T08:27:02.4728294Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T08:27:02.4728772Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T08:27:02.4730370Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T08:27:02.4730522Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T08:27:02.4730658Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T08:27:02.4731053Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T08:27:02.4733318Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T08:27:02.4733482Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T08:27:02.4733624Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T08:27:02.4733772Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T08:27:02.4735266Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T08:27:02.4735447Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T08:27:02.4735587Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T08:27:02.4735874Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T08:27:02.4736680Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T08:27:02.4736885Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T08:27:02.4737816Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T08:27:02.4737971Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T08:27:02.4740095Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T08:27:02.4740278Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T08:27:02.4740430Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T08:27:02.4740559Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T08:27:02.4740690Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T08:27:02.4741261Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T08:27:02.4741881Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T08:27:02.4742515Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T08:27:02.4743386Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T08:27:02.4743749Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T08:27:02.4744216Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T08:27:02.4744623Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T08:27:02.4745477Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T08:27:02.4745815Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T08:27:02.4746292Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T08:27:02.4747766Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T08:27:02.4747957Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T08:27:02.4748106Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T08:27:02.4751692Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T08:27:02.4752344Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T08:27:02.4752720Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T08:27:02.4752886Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T08:27:02.4753049Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T08:27:02.4753221Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T08:27:02.4753383Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T08:27:02.4753552Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T08:27:02.4753709Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T08:27:02.4753845Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T08:27:02.4754209Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T08:27:02.4754536Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T08:27:02.4756281Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T08:27:02.4756590Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T08:27:02.4756735Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T08:27:02.4756865Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T08:27:02.4757442Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T08:27:02.4758816Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:27:02.4759328Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T08:27:02.4760327Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T08:27:02.4760777Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T08:27:02.4761471Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T08:27:02.4765393Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T08:27:02.4765592Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T08:27:02.4765762Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T08:27:02.4765929Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T08:27:02.4766140Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T08:27:02.4766324Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T08:27:02.4767035Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T08:27:02.4767635Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T08:27:02.4767795Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T08:27:02.4767935Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T08:27:02.4768067Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T08:27:02.4768526Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T08:27:02.4770938Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T08:27:02.4771115Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T08:27:02.4771249Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T08:27:02.4771551Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T08:27:02.4771676Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T08:27:02.4775735Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T08:27:02.4775917Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T08:27:02.4776052Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T08:27:02.4776208Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T08:27:02.4776362Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T08:27:02.4776486Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T08:27:02.4776611Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T08:27:02.4776731Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T08:27:02.4776853Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T08:27:02.4776967Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T08:27:02.4777081Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T08:27:02.4777205Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T08:27:02.4777316Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T08:27:02.4777440Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T08:27:02.4783733Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T08:27:02.4783926Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T08:27:02.4784669Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T08:27:02.4784812Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T08:27:02.4784971Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T08:27:02.4785099Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T08:27:02.4785229Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T08:27:02.4785346Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T08:27:02.4785462Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T08:27:02.4785750Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T08:27:02.4786349Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T08:27:02.4786471Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T08:27:02.4786603Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T08:27:02.4786715Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T08:27:02.4786835Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T08:27:02.4786947Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T08:27:02.4787075Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T08:27:02.4787184Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T08:27:02.4788953Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T08:27:02.4789402Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T08:27:02.4789764Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T08:27:02.4790065Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T08:27:02.4790185Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T08:27:02.4790305Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T08:27:02.4790427Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T08:27:02.4793571Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T08:27:02.4794017Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T08:27:02.4794199Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T08:27:02.4794338Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T08:27:02.4794464Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T08:27:02.4794618Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T08:27:02.4794738Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T08:27:02.4795593Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T08:27:02.4795748Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T08:27:02.4795872Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T08:27:02.4796777Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T08:27:02.4797272Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T08:27:02.4797990Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T08:27:02.4799136Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T08:27:02.4799299Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T08:27:02.4800526Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T08:27:02.4800775Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T08:27:02.4800899Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T08:27:02.4801654Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T08:27:02.4801952Z * [new tag] ciflow/trunk/160174 -> ciflow/trunk/160174 2025-12-04T08:27:02.4802479Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T08:27:02.4802932Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T08:27:02.4803660Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T08:27:02.4803802Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T08:27:02.4807321Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T08:27:02.4807878Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T08:27:02.4808023Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T08:27:02.4808141Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T08:27:02.4808262Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T08:27:02.4808403Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T08:27:02.4808572Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T08:27:02.4808898Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T08:27:02.4809245Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T08:27:02.4809581Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T08:27:02.4811436Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T08:27:02.4811595Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T08:27:02.4811723Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T08:27:02.4811846Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T08:27:02.4812377Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T08:27:02.4812904Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T08:27:02.4813359Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T08:27:02.4814105Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T08:27:02.4814375Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T08:27:02.4816712Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T08:27:02.4816873Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T08:27:02.4817255Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T08:27:02.4817410Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T08:27:02.4817534Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T08:27:02.4817892Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T08:27:02.4818036Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T08:27:02.4818640Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T08:27:02.4819292Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T08:27:02.4819506Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T08:27:02.4819988Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T08:27:02.4820735Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T08:27:02.4821238Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T08:27:02.4821646Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T08:27:02.4822344Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T08:27:02.4822828Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T08:27:02.4823391Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T08:27:02.4823865Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T08:27:02.4824397Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T08:27:02.4824980Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T08:27:02.4825494Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T08:27:02.4826021Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T08:27:02.4827091Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T08:27:02.4827223Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T08:27:02.4827746Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T08:27:02.4828531Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T08:27:02.4828990Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T08:27:02.4829354Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T08:27:02.4829886Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T08:27:02.4830283Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T08:27:02.4831309Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T08:27:02.4832189Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T08:27:02.4832399Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T08:27:02.4833345Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T08:27:02.4833541Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T08:27:02.4834420Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T08:27:02.4834683Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T08:27:02.4835237Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T08:27:02.4835627Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T08:27:02.4836558Z * [new tag] ciflow/trunk/169229 -> ciflow/trunk/169229 2025-12-04T08:27:02.4837034Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T08:27:02.4837555Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T08:27:02.4838581Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T08:27:02.4838982Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T08:27:02.4839320Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T08:27:02.4839848Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T08:27:02.4840650Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T08:27:02.4840905Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T08:27:02.4841629Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T08:27:02.4841996Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T08:27:02.4842602Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T08:27:02.4843528Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T08:27:02.4843814Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T08:27:02.4844383Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T08:27:02.4844861Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T08:27:02.4845782Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T08:27:02.4845992Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T08:27:02.4846876Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T08:27:02.4847039Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T08:27:02.4847915Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T08:27:02.4848132Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T08:27:02.4848859Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T08:27:02.4849177Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T08:27:02.4849860Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T08:27:02.4850194Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T08:27:02.4851129Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T08:27:02.4851306Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T08:27:02.4851811Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T08:27:02.4852249Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T08:27:02.4852830Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T08:27:02.4853514Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T08:27:02.4853917Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T08:27:02.4854497Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T08:27:02.4855063Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T08:27:02.4855554Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T08:27:02.4856143Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T08:27:02.4856629Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T08:27:02.4857148Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T08:27:02.4857667Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T08:27:02.4858188Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T08:27:02.4858664Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T08:27:02.4859194Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T08:27:02.4859657Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T08:27:02.4861157Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T08:27:02.4861447Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T08:27:02.4861783Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T08:27:02.4862497Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T08:27:02.4862884Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T08:27:02.4863421Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T08:27:02.4864221Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T08:27:02.4864783Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T08:27:02.4864909Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T08:27:02.4865802Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T08:27:02.4866155Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T08:27:02.4866568Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T08:27:02.4867027Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T08:27:02.4867535Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T08:27:02.4868000Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T08:27:02.4868508Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T08:27:02.4868883Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T08:27:02.4869989Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T08:27:02.4870423Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T08:27:02.4871289Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T08:27:02.4871636Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T08:27:02.4872978Z * [new tag] ciflow/xpu/169229 -> ciflow/xpu/169229 2025-12-04T08:27:02.4873297Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T08:27:02.4873486Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T08:27:02.4873707Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T08:27:02.4874433Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T08:27:02.4874724Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T08:27:02.4875574Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T08:27:02.4875802Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T08:27:02.4876515Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T08:27:02.4876968Z * [new tag] cslpull75 -> cslpull75 2025-12-04T08:27:02.4877819Z * [new tag] cslpull76 -> cslpull76 2025-12-04T08:27:02.4878160Z * [new tag] cslpull77 -> cslpull77 2025-12-04T08:27:02.4879021Z * [new tag] cslpull78 -> cslpull78 2025-12-04T08:27:02.4879579Z * [new tag] cslpull79 -> cslpull79 2025-12-04T08:27:02.4880584Z * [new tag] cslpull80 -> cslpull80 2025-12-04T08:27:02.4881035Z * [new tag] cslpull81 -> cslpull81 2025-12-04T08:27:02.4882092Z * [new tag] cslpull82 -> cslpull82 2025-12-04T08:27:02.4882376Z * [new tag] cslpull83 -> cslpull83 2025-12-04T08:27:02.4882959Z * [new tag] cslpull84 -> cslpull84 2025-12-04T08:27:02.4883466Z * [new tag] cslpull85 -> cslpull85 2025-12-04T08:27:02.4884470Z * [new tag] cslpull86 -> cslpull86 2025-12-04T08:27:02.4884719Z * [new tag] cslpull87 -> cslpull87 2025-12-04T08:27:02.4885596Z * [new tag] cslpull88 -> cslpull88 2025-12-04T08:27:02.4885890Z * [new tag] cslpull89 -> cslpull89 2025-12-04T08:27:02.4887037Z * [new tag] cslpull90 -> cslpull90 2025-12-04T08:27:02.4888022Z * [new tag] cslpull91 -> cslpull91 2025-12-04T08:27:02.4888293Z * [new tag] cslpull92 -> cslpull92 2025-12-04T08:27:02.4889228Z * [new tag] flight_5 -> flight_5 2025-12-04T08:27:02.4889831Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T08:27:02.4890580Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T08:27:02.4891168Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T08:27:02.4891657Z * [new tag] forpull1 -> forpull1 2025-12-04T08:27:02.4892908Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T08:27:02.4893146Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T08:27:02.4893988Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T08:27:02.4894490Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T08:27:02.4895301Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T08:27:02.4896116Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T08:27:02.4896857Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T08:27:02.4897486Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T08:27:02.4898521Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T08:27:02.4899057Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T08:27:02.4899722Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T08:27:02.4901099Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T08:27:02.4901420Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T08:27:02.4901667Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T08:27:02.4902302Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T08:27:02.4903691Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T08:27:02.4903940Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T08:27:02.4904314Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T08:27:02.4904892Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T08:27:02.4905469Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T08:27:02.4906765Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T08:27:02.4907033Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T08:27:02.4907392Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T08:27:02.4908000Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T08:27:02.4912054Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T08:27:02.4912357Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T08:27:02.4912628Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T08:27:02.4912881Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T08:27:02.4913142Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T08:27:02.4913395Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T08:27:02.4913666Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T08:27:02.4913922Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T08:27:02.4914374Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T08:27:02.4914634Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T08:27:02.4915174Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T08:27:02.4915606Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T08:27:02.4916792Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T08:27:02.4917135Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T08:27:02.4917532Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T08:27:02.4920585Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T08:27:02.4921652Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T08:27:02.4921962Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T08:27:02.4922222Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T08:27:02.4922651Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T08:27:02.4922908Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T08:27:02.4923161Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T08:27:02.4925310Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T08:27:02.4925568Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T08:27:02.4925839Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T08:27:02.4926089Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T08:27:02.4926375Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T08:27:02.4926630Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T08:27:02.4926909Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T08:27:02.4927227Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T08:27:02.4927638Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T08:27:02.4928332Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T08:27:02.4928786Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T08:27:02.4929286Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T08:27:02.4929795Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T08:27:02.4930254Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T08:27:02.4934276Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T08:27:02.4934555Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T08:27:02.4934815Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T08:27:02.4935080Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T08:27:02.4935323Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T08:27:02.4935571Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T08:27:02.4935820Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T08:27:02.4936058Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T08:27:02.4936523Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T08:27:02.4937628Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T08:27:02.4938273Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T08:27:02.4938680Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T08:27:02.4940361Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T08:27:02.4940881Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T08:27:02.4941141Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T08:27:02.4941425Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T08:27:02.4942165Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T08:27:02.4942809Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T08:27:02.4943318Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T08:27:02.4944000Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T08:27:02.4944668Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T08:27:02.4945064Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T08:27:02.4946186Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T08:27:02.4946547Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T08:27:02.4947176Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T08:27:02.4947603Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T08:27:02.4948186Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T08:27:02.4950178Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T08:27:02.4950472Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T08:27:02.4950728Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T08:27:02.4951055Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T08:27:02.4951543Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T08:27:02.4952206Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T08:27:02.4953363Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T08:27:02.4954172Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T08:27:02.4954444Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T08:27:02.4955311Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T08:27:02.4955572Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T08:27:02.4955837Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T08:27:02.4956568Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T08:27:02.4957768Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T08:27:02.4958038Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T08:27:02.4958493Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T08:27:02.4959074Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T08:27:02.4960848Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T08:27:02.4961106Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T08:27:02.4961414Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T08:27:02.4961677Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T08:27:02.4962822Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T08:27:02.4963081Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T08:27:02.4963622Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T08:27:02.4964289Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T08:27:02.4964801Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T08:27:02.4965388Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T08:27:02.4965964Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T08:27:02.4966615Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T08:27:02.4967390Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T08:27:02.4967750Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:27:02.4968370Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T08:27:02.4969419Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T08:27:02.4969876Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T08:27:02.4970175Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T08:27:02.4970643Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T08:27:02.4972723Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T08:27:02.4973065Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T08:27:02.4973383Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T08:27:02.4974152Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T08:27:02.4974478Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T08:27:02.4975592Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T08:27:02.4975868Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T08:27:02.4977855Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T08:27:02.4978180Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T08:27:02.4978441Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T08:27:02.4978821Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T08:27:02.4979187Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T08:27:02.4979620Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T08:27:02.4980311Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T08:27:02.4982951Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T08:27:02.4983465Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T08:27:02.4983726Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T08:27:02.4983988Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T08:27:02.4984237Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T08:27:02.4984694Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T08:27:02.4985465Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T08:27:02.4985752Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T08:27:02.4986054Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T08:27:02.4986734Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T08:27:02.4987424Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T08:27:02.4988180Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T08:27:02.4988851Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T08:27:02.4989489Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T08:27:02.4989981Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T08:27:02.4990651Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T08:27:02.4991234Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T08:27:02.4991847Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T08:27:02.4992399Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T08:27:02.4994143Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T08:27:02.4994433Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T08:27:02.4994700Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T08:27:02.4994980Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T08:27:02.4995629Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T08:27:02.4996255Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T08:27:02.4996977Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T08:27:02.4997518Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T08:27:02.4998546Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T08:27:02.4998954Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T08:27:02.4999597Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T08:27:02.5000082Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T08:27:02.5000701Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T08:27:02.5001632Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T08:27:02.5002024Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T08:27:02.5002937Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T08:27:02.5005686Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T08:27:02.5005949Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T08:27:02.5006205Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T08:27:02.5006451Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T08:27:02.5006829Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T08:27:02.5007174Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T08:27:02.5008469Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T08:27:02.5008735Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T08:27:02.5009185Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T08:27:02.5010197Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T08:27:02.5010702Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T08:27:02.5011331Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T08:27:02.5011976Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T08:27:02.5012646Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T08:27:02.5013250Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T08:27:02.5013877Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T08:27:02.5015446Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T08:27:02.5016127Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T08:27:02.5016411Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T08:27:02.5016884Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T08:27:02.5017286Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T08:27:02.5017952Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T08:27:02.5018553Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T08:27:02.5022319Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T08:27:02.5022625Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T08:27:02.5022887Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T08:27:02.5023137Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T08:27:02.5023400Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T08:27:02.5023647Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T08:27:02.5023908Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T08:27:02.5024303Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T08:27:02.5025390Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T08:27:02.5025656Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T08:27:02.5029553Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T08:27:02.5029868Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T08:27:02.5030132Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T08:27:02.5030390Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T08:27:02.5030656Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T08:27:02.5030906Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T08:27:02.5031569Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T08:27:02.5031863Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T08:27:02.5032116Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T08:27:02.5032385Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T08:27:02.5032687Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T08:27:02.5033313Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T08:27:02.5033965Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T08:27:02.5034526Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T08:27:02.5035193Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T08:27:02.5035731Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T08:27:02.5036435Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T08:27:02.5037863Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T08:27:02.5038350Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T08:27:02.5038812Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T08:27:02.5039243Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:27:02.5040456Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T08:27:02.5040726Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T08:27:02.5042286Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T08:27:02.5042402Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T08:27:02.5042574Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T08:27:02.5042772Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T08:27:02.5043538Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T08:27:02.5044166Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T08:27:02.5044606Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T08:27:02.5045058Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T08:27:02.5047004Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T08:27:02.5047551Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T08:27:02.5047659Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T08:27:02.5047768Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T08:27:02.5048197Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T08:27:02.5049524Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T08:27:02.5049653Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T08:27:02.5050156Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T08:27:02.5051496Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T08:27:02.5051765Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T08:27:02.5051882Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T08:27:02.5052888Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T08:27:02.5053008Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T08:27:02.5053811Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T08:27:02.5056351Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T08:27:02.5056583Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T08:27:02.5056779Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T08:27:02.5057502Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T08:27:02.5057809Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T08:27:02.5057970Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T08:27:02.5058071Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T08:27:02.5058177Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T08:27:02.5058666Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T08:27:02.5059394Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T08:27:02.5060141Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T08:27:02.5060693Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T08:27:02.5061530Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T08:27:02.5061892Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T08:27:02.5062471Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T08:27:02.5063153Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T08:27:02.5063666Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T08:27:02.5064233Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T08:27:02.5066123Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T08:27:02.5066638Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T08:27:02.5066770Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T08:27:02.5066876Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T08:27:02.5067804Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T08:27:02.5067929Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T08:27:02.5068560Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T08:27:02.5068984Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T08:27:02.5069817Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T08:27:02.5070341Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T08:27:02.5071200Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T08:27:02.5072360Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T08:27:02.5072539Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T08:27:02.5073448Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T08:27:02.5073852Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T08:27:02.5074569Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T08:27:02.5074980Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T08:27:02.5075993Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T08:27:02.5076222Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T08:27:02.5076800Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T08:27:02.5077574Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T08:27:02.5077907Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T08:27:02.5078641Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T08:27:02.5079068Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T08:27:02.5079931Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T08:27:02.5080248Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T08:27:02.5080922Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T08:27:02.5082186Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T08:27:02.5082391Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T08:27:02.5082509Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T08:27:02.5083466Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T08:27:02.5083899Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T08:27:02.5084926Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T08:27:02.5085435Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T08:27:02.5086294Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T08:27:02.5086544Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T08:27:02.5087355Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T08:27:02.5087650Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T08:27:02.5088745Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T08:27:02.5088946Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T08:27:02.5089521Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T08:27:02.5090300Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T08:27:02.5090692Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T08:27:02.5091591Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T08:27:02.5091996Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T08:27:02.5092569Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T08:27:02.5093149Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T08:27:02.5094189Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T08:27:02.5094457Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T08:27:02.5095317Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T08:27:02.5095460Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T08:27:02.5096414Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T08:27:02.5096970Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T08:27:02.5097834Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T08:27:02.5098078Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T08:27:02.5098944Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T08:27:02.5099069Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T08:27:02.5100038Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T08:27:02.5100471Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T08:27:02.5101376Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T08:27:02.5101575Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T08:27:02.5102078Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T08:27:02.5102912Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T08:27:02.5103019Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T08:27:02.5103972Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T08:27:02.5105058Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T08:27:02.5105335Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T08:27:02.5106273Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T08:27:02.5106539Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T08:27:02.5107431Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T08:27:02.5108119Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T08:27:02.5108407Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T08:27:02.5109386Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T08:27:02.5109958Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T08:27:02.5110331Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T08:27:02.5111653Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T08:27:02.5111980Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T08:27:02.5112893Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T08:27:02.5113309Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T08:27:02.5114247Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T08:27:02.5114714Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T08:27:02.5115843Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T08:27:02.5116029Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T08:27:02.5116629Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T08:27:02.5116992Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T08:27:02.5117832Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T08:27:02.5118127Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T08:27:02.5119503Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T08:27:02.5119750Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T08:27:02.5121762Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T08:27:02.5121883Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T08:27:02.5124469Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T08:27:02.5124573Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T08:27:02.5124679Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T08:27:02.5124887Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T08:27:02.5124989Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T08:27:02.5125095Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T08:27:02.5127318Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T08:27:02.5128675Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T08:27:02.5128792Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T08:27:02.5128908Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T08:27:02.5129026Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T08:27:02.5129136Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T08:27:02.5129599Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T08:27:02.5129862Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T08:27:02.5130143Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T08:27:02.5131268Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T08:27:02.5131520Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T08:27:02.5132097Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T08:27:02.5132811Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T08:27:02.5133176Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T08:27:02.5134195Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T08:27:02.5134310Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T08:27:02.5134868Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T08:27:02.5135747Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T08:27:02.5136238Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T08:27:02.5136966Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T08:27:02.5137189Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T08:27:02.5137593Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T08:27:02.5138798Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T08:27:02.5138984Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T08:27:02.5139257Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T08:27:02.5140469Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T08:27:02.5140661Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T08:27:02.5141563Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T08:27:02.5142026Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T08:27:02.5142583Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T08:27:02.5143371Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T08:27:02.5144749Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T08:27:02.5144868Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T08:27:02.5145044Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T08:27:02.5145745Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T08:27:02.5146534Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T08:27:02.5147180Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T08:27:02.5147567Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T08:27:02.5147869Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T08:27:02.5148977Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T08:27:02.5149209Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T08:27:02.5150183Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T08:27:02.5151384Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T08:27:02.5151500Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T08:27:02.5152527Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T08:27:02.5155589Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T08:27:02.5156258Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T08:27:02.5156480Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T08:27:02.5156591Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T08:27:02.5156698Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T08:27:02.5156803Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T08:27:02.5157028Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T08:27:02.5157435Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T08:27:02.5158424Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T08:27:02.5158695Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T08:27:02.5159803Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T08:27:02.5160135Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T08:27:02.5161023Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T08:27:02.5161304Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T08:27:02.5162243Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T08:27:02.5163192Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T08:27:02.5163445Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T08:27:02.5164504Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T08:27:02.5165111Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T08:27:02.5166338Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T08:27:02.5166466Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T08:27:02.5167004Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T08:27:02.5167391Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T08:27:02.5168023Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T08:27:02.5168334Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T08:27:02.5169395Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T08:27:02.5169807Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T08:27:02.5170870Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T08:27:02.5171672Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T08:27:02.5172144Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T08:27:02.5173154Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T08:27:02.5173483Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T08:27:02.5174476Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T08:27:02.5175001Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T08:27:02.5175985Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T08:27:02.5176491Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T08:27:02.5177054Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T08:27:02.5178006Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T08:27:02.5178530Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T08:27:02.5179375Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T08:27:02.5179772Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T08:27:02.5180684Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T08:27:02.5181099Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T08:27:02.5182083Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T08:27:02.5182632Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T08:27:02.5183085Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T08:27:02.5184006Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T08:27:02.5184475Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T08:27:02.5185426Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T08:27:02.5186150Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T08:27:02.5186777Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T08:27:02.5187183Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T08:27:02.5188261Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T08:27:02.5188525Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T08:27:02.5189679Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T08:27:02.5189799Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T08:27:02.5190975Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T08:27:02.5191626Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T08:27:02.5192095Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T08:27:02.5192971Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T08:27:02.5193385Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T08:27:02.5194706Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T08:27:02.5195088Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T08:27:02.5196028Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T08:27:02.5196990Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T08:27:02.5198415Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T08:27:02.5198736Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T08:27:02.5198856Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T08:27:02.5200490Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T08:27:02.5200602Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T08:27:02.5202565Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T08:27:02.5202682Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T08:27:02.5202811Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T08:27:02.5202911Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T08:27:02.5204098Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T08:27:02.5205250Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T08:27:02.5205528Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T08:27:02.5206122Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T08:27:02.5206959Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T08:27:02.5207338Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T08:27:02.5208350Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T08:27:02.5208536Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T08:27:02.5209555Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T08:27:02.5209920Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T08:27:02.5211058Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T08:27:02.5211567Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T08:27:02.5212410Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T08:27:02.5212864Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T08:27:02.5213809Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T08:27:02.5214091Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T08:27:02.5215103Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T08:27:02.5215337Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T08:27:02.5216323Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T08:27:02.5216696Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T08:27:02.5217601Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T08:27:02.5217917Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T08:27:02.5219563Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T08:27:02.5219692Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T08:27:02.5220107Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T08:27:02.5220807Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T08:27:02.5221337Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T08:27:02.5221616Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T08:27:02.5222049Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T08:27:02.5223274Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T08:27:02.5223689Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T08:27:02.5224746Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T08:27:02.5224971Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T08:27:02.5225920Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T08:27:02.5226288Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T08:27:02.5227205Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T08:27:02.5227524Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T08:27:02.5228665Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T08:27:02.5228939Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T08:27:02.5229989Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T08:27:02.5230238Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T08:27:02.5231244Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T08:27:02.5231521Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T08:27:02.5232584Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T08:27:02.5232897Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T08:27:02.5233452Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T08:27:02.5234416Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T08:27:02.5234829Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T08:27:02.5235867Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T08:27:02.5236762Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T08:27:02.5237054Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T08:27:02.5237466Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T08:27:02.5237914Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T08:27:02.5238954Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T08:27:02.5239380Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T08:27:02.5240216Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T08:27:02.5240602Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T08:27:02.5241943Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T08:27:02.5242193Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T08:27:02.5242612Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T08:27:02.5245466Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T08:27:02.5245638Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T08:27:02.5245781Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T08:27:02.5245915Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T08:27:02.5246059Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T08:27:02.5246490Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T08:27:02.5247324Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T08:27:02.5247882Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T08:27:02.5248352Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T08:27:02.5248955Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T08:27:02.5250320Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T08:27:02.5250529Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T08:27:02.5251405Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T08:27:02.5251555Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T08:27:02.5252056Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T08:27:02.5253522Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T08:27:02.5253702Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T08:27:02.5253919Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T08:27:02.5256691Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T08:27:02.5256835Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T08:27:02.5256985Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T08:27:02.5257123Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T08:27:02.5257272Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T08:27:02.5257410Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T08:27:02.5257882Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T08:27:02.5258714Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T08:27:02.5259118Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T08:27:02.5261318Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T08:27:02.5261739Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T08:27:02.5261885Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T08:27:02.5262029Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T08:27:02.5262460Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T08:27:02.5265876Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T08:27:02.5266041Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T08:27:02.5266201Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T08:27:02.5266327Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T08:27:02.5266475Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T08:27:02.5266809Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T08:27:02.5267376Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T08:27:02.5268119Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T08:27:02.5268541Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T08:27:02.5269286Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T08:27:02.5270684Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T08:27:02.5270970Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T08:27:02.5271394Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T08:27:02.5271909Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T08:27:02.5275538Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T08:27:02.5276092Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T08:27:02.5276224Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T08:27:02.5276358Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T08:27:02.5276483Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T08:27:02.5276621Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T08:27:02.5276790Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T08:27:02.5276941Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T08:27:02.5277698Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T08:27:02.5278208Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T08:27:02.5278984Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T08:27:02.5279403Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T08:27:02.5280265Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T08:27:02.5280736Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T08:27:02.5281780Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T08:27:02.5281936Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T08:27:02.5282860Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T08:27:02.5283259Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T08:27:02.5285181Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T08:27:02.5285349Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T08:27:02.5285494Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T08:27:02.5286118Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T08:27:02.5286793Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T08:27:02.5287629Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T08:27:02.5287892Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T08:27:02.5288771Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T08:27:02.5289034Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T08:27:02.5292521Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T08:27:02.5292696Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T08:27:02.5292828Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T08:27:02.5292964Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T08:27:02.5293093Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T08:27:02.5293421Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T08:27:02.5293871Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T08:27:02.5294042Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T08:27:02.5294910Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T08:27:02.5295322Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T08:27:02.5298181Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T08:27:02.5298347Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T08:27:02.5298488Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T08:27:02.5298619Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T08:27:02.5299160Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T08:27:02.5300447Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T08:27:02.5300720Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T08:27:02.5301296Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T08:27:02.5302153Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T08:27:02.5302694Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T08:27:02.5303728Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T08:27:02.5303912Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T08:27:02.5304926Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T08:27:02.5305186Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T08:27:02.5306491Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T08:27:02.5306835Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T08:27:02.5307520Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T08:27:02.5308118Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T08:27:02.5308733Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T08:27:02.5309671Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T08:27:02.5309849Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T08:27:02.5310896Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T08:27:02.5311040Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T08:27:02.5322578Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T08:27:02.5322991Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T08:27:02.5323187Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T08:27:02.5323495Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T08:27:02.5323706Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T08:27:02.5323887Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T08:27:02.5324103Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T08:27:02.5324265Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T08:27:02.5324636Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T08:27:02.5326384Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T08:27:02.5326707Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T08:27:02.5327010Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T08:27:02.5327198Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T08:27:02.5327354Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T08:27:02.5327567Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T08:27:02.5327775Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T08:27:02.5327901Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T08:27:02.5328059Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T08:27:02.5328274Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T08:27:02.5328416Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T08:27:02.5328549Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T08:27:02.5328717Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T08:27:02.5328910Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T08:27:02.5329047Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T08:27:02.5329176Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T08:27:02.5329376Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T08:27:02.5329574Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T08:27:02.5329705Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T08:27:02.5330460Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T08:27:02.5331054Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T08:27:02.5331971Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T08:27:02.5332395Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T08:27:02.5333381Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T08:27:02.5333628Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T08:27:02.5334773Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T08:27:02.5335024Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T08:27:02.5335441Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T08:27:02.5336328Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T08:27:02.5336540Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T08:27:02.5337666Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T08:27:02.5337955Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T08:27:02.5338594Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T08:27:02.5339945Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T08:27:02.5340184Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T08:27:02.5341417Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T08:27:02.5341565Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T08:27:02.5341852Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T08:27:02.5342955Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T08:27:02.5343097Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T08:27:02.5343690Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T08:27:02.5345125Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T08:27:02.5345576Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T08:27:02.5345728Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T08:27:02.5346855Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T08:27:02.5346987Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T08:27:02.5348207Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T08:27:02.5348472Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T08:27:02.5349142Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T08:27:02.5349790Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T08:27:02.5350398Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T08:27:02.5351032Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T08:27:02.5352229Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T08:27:02.5352379Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T08:27:02.5353077Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T08:27:02.5353757Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T08:27:02.5354200Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T08:27:02.5355120Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T08:27:02.5355494Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T08:27:02.5356193Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T08:27:02.5356618Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T08:27:02.5357890Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T08:27:02.5358191Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T08:27:02.5359208Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T08:27:02.5359442Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T08:27:02.5359951Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T08:27:02.5360502Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T08:27:02.5361701Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T08:27:02.5361863Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T08:27:02.5363219Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T08:27:02.5363565Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T08:27:02.5364820Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T08:27:02.5364962Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T08:27:02.5365393Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T08:27:02.5366360Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T08:27:02.5366607Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T08:27:02.5367488Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T08:27:02.5368013Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T08:27:02.5368738Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T08:27:02.5369213Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T08:27:02.5370151Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T08:27:02.5370630Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T08:27:02.5371499Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T08:27:02.5371972Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T08:27:02.5373057Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T08:27:02.5373423Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T08:27:02.5374714Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T08:27:02.5374984Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T08:27:02.5376232Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T08:27:02.5376685Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T08:27:02.5377522Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T08:27:02.5377860Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T08:27:02.5378662Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T08:27:02.5379051Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T08:27:02.5380027Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T08:27:02.5380746Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T08:27:02.5381295Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T08:27:02.5382173Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T08:27:02.5382459Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T08:27:02.5383399Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T08:27:02.5383691Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T08:27:02.5384674Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T08:27:02.5385133Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T08:27:02.5385664Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T08:27:02.5386390Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T08:27:02.5386908Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T08:27:02.5387813Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T08:27:02.5388114Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T08:27:02.5388959Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T08:27:02.5389320Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T08:27:02.5390645Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T08:27:02.5391132Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T08:27:02.5392198Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T08:27:02.5392469Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T08:27:02.5393370Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T08:27:02.5393673Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T08:27:02.5394272Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T08:27:02.5394941Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T08:27:02.5395474Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T08:27:02.5396411Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T08:27:02.5397342Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T08:27:02.5397723Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T08:27:02.5398659Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T08:27:02.5399007Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T08:27:02.5399916Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T08:27:02.5400308Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T08:27:02.5401521Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T08:27:02.5401796Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T08:27:02.5402735Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T08:27:02.5404421Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T08:27:02.5406502Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T08:27:02.5406672Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T08:27:02.5407115Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T08:27:02.5407856Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T08:27:02.5408567Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T08:27:02.5409572Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T08:27:02.5409825Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T08:27:02.5410807Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T08:27:02.5411051Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T08:27:02.5412122Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T08:27:02.5412364Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T08:27:02.5413716Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T08:27:02.5414179Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T08:27:02.5414910Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T08:27:02.5415477Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T08:27:02.5416392Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T08:27:02.5417090Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T08:27:02.5418446Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T08:27:02.5418660Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T08:27:02.5418827Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T08:27:02.5419481Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T08:27:02.5420182Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T08:27:02.5423884Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T08:27:02.5424065Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T08:27:02.5424209Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T08:27:02.5424356Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T08:27:02.5424498Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T08:27:02.5424633Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T08:27:02.5425148Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T08:27:02.5425385Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T08:27:02.5426302Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T08:27:02.5426708Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T08:27:02.5428525Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T08:27:02.5428828Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T08:27:02.5429345Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T08:27:02.5429517Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T08:27:02.5433836Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T08:27:02.5433991Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T08:27:02.5434279Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T08:27:02.5434415Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T08:27:02.5434561Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T08:27:02.5434689Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T08:27:02.5434826Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T08:27:02.5435190Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T08:27:02.5436250Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T08:27:02.5437167Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T08:27:02.5437311Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T08:27:02.5438260Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T08:27:02.5438575Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T08:27:02.5439735Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T08:27:02.5440048Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T08:27:02.5440996Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T08:27:02.5441552Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T08:27:02.5442508Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T08:27:02.5442910Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T08:27:02.5443855Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T08:27:02.5444402Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T08:27:02.5445298Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T08:27:02.5445740Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T08:27:02.5446680Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T08:27:02.5447060Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T08:27:02.5448196Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T08:27:02.5448337Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T08:27:02.5449529Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T08:27:02.5450077Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T08:27:02.5450618Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T08:27:02.5451873Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T08:27:02.5452062Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T08:27:02.5452543Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T08:27:02.5453474Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T08:27:02.5454119Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T08:27:02.5454751Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T08:27:02.5455392Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T08:27:02.5456030Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T08:27:02.5456685Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T08:27:02.5457753Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T08:27:02.5460304Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T08:27:02.5460511Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T08:27:02.5460646Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T08:27:02.5460788Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T08:27:02.5462227Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T08:27:02.5462506Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T08:27:02.5462644Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T08:27:02.5462778Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T08:27:02.5463803Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T08:27:02.5464016Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T08:27:02.5464884Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T08:27:02.5466235Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T08:27:02.5466524Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T08:27:02.5466767Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T08:27:02.5468212Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T08:27:02.5468488Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T08:27:02.5468662Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T08:27:02.5469525Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T08:27:02.5469678Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T08:27:02.5473252Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T08:27:02.5473430Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T08:27:02.5473586Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T08:27:02.5473722Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T08:27:02.5473849Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T08:27:02.5475191Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T08:27:02.5475670Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T08:27:02.5475842Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T08:27:02.5476303Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T08:27:02.5476959Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T08:27:02.5477677Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T08:27:02.5478882Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T08:27:02.5479282Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T08:27:02.5481839Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T08:27:02.5482070Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T08:27:02.5482327Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T08:27:02.5482462Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T08:27:02.5483858Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T08:27:02.5484115Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T08:27:02.5484890Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T08:27:02.5485408Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T08:27:02.5486368Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T08:27:02.5486804Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T08:27:02.5487812Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T08:27:02.5488002Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T08:27:02.5489345Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T08:27:02.5489727Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T08:27:02.5490792Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T08:27:02.5491284Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T08:27:02.5492319Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T08:27:02.5492715Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T08:27:02.5494196Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T08:27:02.5494354Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T08:27:02.5494560Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T08:27:02.5495551Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T08:27:02.5496021Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T08:27:02.5496607Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T08:27:02.5497492Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T08:27:02.5497973Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T08:27:02.5499493Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T08:27:02.5499729Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T08:27:02.5499890Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T08:27:02.5500808Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T08:27:02.5501120Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T08:27:02.5502142Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T08:27:02.5502584Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T08:27:02.5503655Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T08:27:02.5504044Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T08:27:02.5505215Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T08:27:02.5505575Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T08:27:02.5506540Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T08:27:02.5506990Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T08:27:02.5508158Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T08:27:02.5508379Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T08:27:02.5509487Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T08:27:02.5509944Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T08:27:02.5510796Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T08:27:02.5511270Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T08:27:02.5512425Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T08:27:02.5512683Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T08:27:02.5513783Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T08:27:02.5514301Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T08:27:02.5515417Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T08:27:02.5515624Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T08:27:02.5516736Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T08:27:02.5517841Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T08:27:02.5518269Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T08:27:02.5518741Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T08:27:02.5519475Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T08:27:02.5520214Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T08:27:02.5520860Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T08:27:02.5522094Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T08:27:02.5522306Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T08:27:02.5523297Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T08:27:02.5523613Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T08:27:02.5524677Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T08:27:02.5525169Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T08:27:02.5526569Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T08:27:02.5526880Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T08:27:02.5528910Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T08:27:02.5529643Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T08:27:02.5529803Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T08:27:02.5530349Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T08:27:02.5530772Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T08:27:02.5531818Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T08:27:02.5532339Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T08:27:02.5533745Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T08:27:02.5533965Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T08:27:02.5534361Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T08:27:02.5535313Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T08:27:02.5536412Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T08:27:02.5536568Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T08:27:02.5537879Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T08:27:02.5538236Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T08:27:02.5538579Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T08:27:02.5539561Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T08:27:02.5540004Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T08:27:02.5541140Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T08:27:02.5541823Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T08:27:02.5542407Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T08:27:02.5543948Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T08:27:02.5544203Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T08:27:02.5544349Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T08:27:02.5544935Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T08:27:02.5545795Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T08:27:02.5563896Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T08:27:02.5564061Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T08:27:02.5564231Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T08:27:02.5564359Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T08:27:02.5564499Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T08:27:02.5564641Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T08:27:02.5564779Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T08:27:02.5564990Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T08:27:02.5565168Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T08:27:02.5565318Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T08:27:02.5565486Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T08:27:02.5565638Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T08:27:02.5565770Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T08:27:02.5566054Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T08:27:02.5566199Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T08:27:02.5566349Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T08:27:02.5566492Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T08:27:02.5566637Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T08:27:02.5566776Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T08:27:02.5566913Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T08:27:02.5567053Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T08:27:02.5567182Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T08:27:02.5567321Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T08:27:02.5567464Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T08:27:02.5567601Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T08:27:02.5567742Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T08:27:02.5567887Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T08:27:02.5568032Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T08:27:02.5568169Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T08:27:02.5568361Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T08:27:02.5568493Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T08:27:02.5570125Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T08:27:02.5570264Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T08:27:02.5570778Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T08:27:02.5570943Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T08:27:02.5571212Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T08:27:02.5572730Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T08:27:02.5573119Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T08:27:02.5574192Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T08:27:02.5574689Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T08:27:02.5575467Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T08:27:02.5576595Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T08:27:02.5576800Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T08:27:02.5577939Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T08:27:02.5579258Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T08:27:02.5579668Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T08:27:02.5580650Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T08:27:02.5582186Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T08:27:02.5582470Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T08:27:02.5582696Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T08:27:02.5583366Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T08:27:02.5584222Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T08:27:02.5584661Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T08:27:02.5585539Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T08:27:02.5591531Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T08:27:02.5591770Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T08:27:02.5591992Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T08:27:02.5592127Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T08:27:02.5592266Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T08:27:02.5592388Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T08:27:02.5592519Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T08:27:02.5592644Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T08:27:02.5592776Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T08:27:02.5592897Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T08:27:02.5593037Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T08:27:02.5594494Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T08:27:02.5594661Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T08:27:02.5595186Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T08:27:02.5596063Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T08:27:02.5596492Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T08:27:02.5597408Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T08:27:02.5597724Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T08:27:02.5598671Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T08:27:02.5599122Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T08:27:02.5600118Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T08:27:02.5600599Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T08:27:02.5601665Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T08:27:02.5602407Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T08:27:02.5602999Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T08:27:02.5603855Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T08:27:02.5604887Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T08:27:02.5605164Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T08:27:02.5606212Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T08:27:02.5606527Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T08:27:02.5607575Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T08:27:02.5607997Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T08:27:02.5609051Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T08:27:02.5609418Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T08:27:02.5610533Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T08:27:02.5610857Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T08:27:02.5612417Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T08:27:02.5612746Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T08:27:02.5613018Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T08:27:02.5614035Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T08:27:02.5614222Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T08:27:02.5615479Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T08:27:02.5615877Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T08:27:02.5617040Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T08:27:02.5617198Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T08:27:02.5619097Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T08:27:02.5619760Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T08:27:02.5620158Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T08:27:02.5622688Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T08:27:02.5623174Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T08:27:02.5623341Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T08:27:02.5623942Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T08:27:02.5624098Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T08:27:02.5624238Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T08:27:02.5624481Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T08:27:02.5625621Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T08:27:02.5625965Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T08:27:02.5626926Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T08:27:02.5627246Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T08:27:02.5628397Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T08:27:02.5628688Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T08:27:02.5629471Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T08:27:02.5630485Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T08:27:02.5630693Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T08:27:02.5631779Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T08:27:02.5632046Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T08:27:02.5632811Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T08:27:02.5633280Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T08:27:02.5634241Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T08:27:02.5634681Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T08:27:02.5635630Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T08:27:02.5636056Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T08:27:02.5636818Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T08:27:02.5637932Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T08:27:02.5638155Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T08:27:02.5639029Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T08:27:02.5639515Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T08:27:02.5640809Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T08:27:02.5640989Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T08:27:02.5642106Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T08:27:02.5642446Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T08:27:02.5643487Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T08:27:02.5643874Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T08:27:02.5645057Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T08:27:02.5645582Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T08:27:02.5646254Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T08:27:02.5646840Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T08:27:02.5648070Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T08:27:02.5648208Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T08:27:02.5649357Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T08:27:02.5649622Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T08:27:02.5651113Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T08:27:02.5651552Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T08:27:02.5651705Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T08:27:02.5652426Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T08:27:02.5652883Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T08:27:02.5653810Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T08:27:02.5654197Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T08:27:02.5655107Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T08:27:02.5655534Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T08:27:02.5656696Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T08:27:02.5656896Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T08:27:02.5657953Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T08:27:02.5658282Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T08:27:02.5659114Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T08:27:02.5660061Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T08:27:02.5660419Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T08:27:02.5661283Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T08:27:02.5661534Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T08:27:02.5662496Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T08:27:02.5663265Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T08:27:02.5663648Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T08:27:02.5664260Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T08:27:02.5664782Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T08:27:02.5665381Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T08:27:02.5665859Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T08:27:02.5667266Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T08:27:02.5667423Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T08:27:02.5668040Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T08:27:02.5668294Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T08:27:02.5668804Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T08:27:02.5669323Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T08:27:02.5670103Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T08:27:02.5670467Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T08:27:02.5671465Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T08:27:02.5671754Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T08:27:02.5677096Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T08:27:02.5677312Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T08:27:02.5677449Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T08:27:02.5677593Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T08:27:02.5677756Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T08:27:02.5677881Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T08:27:02.5677988Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T08:27:02.5678185Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T08:27:02.6229661Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T08:27:02.6258677Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:27:02.6259830Z ##[endgroup] 2025-12-04T08:27:02.6260048Z ##[group]Determining the checkout info 2025-12-04T08:27:02.6260538Z ##[endgroup] 2025-12-04T08:27:02.6269311Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T08:27:02.6299057Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T08:27:02.6331571Z ##[group]Checking out the ref 2025-12-04T08:27:02.6334586Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:27:03.6647293Z Updating files: 90% (18154/20121) 2025-12-04T08:27:03.6738953Z Updating files: 91% (18311/20121) 2025-12-04T08:27:03.6869831Z Updating files: 92% (18512/20121) 2025-12-04T08:27:03.7026815Z Updating files: 93% (18713/20121) 2025-12-04T08:27:03.7209618Z Updating files: 94% (18914/20121) 2025-12-04T08:27:03.7359293Z Updating files: 95% (19115/20121) 2025-12-04T08:27:03.7493658Z Updating files: 96% (19317/20121) 2025-12-04T08:27:03.7635813Z Updating files: 97% (19518/20121) 2025-12-04T08:27:03.7893548Z Updating files: 98% (19719/20121) 2025-12-04T08:27:03.8049835Z Updating files: 99% (19920/20121) 2025-12-04T08:27:03.8050199Z Updating files: 100% (20121/20121) 2025-12-04T08:27:03.8050460Z Updating files: 100% (20121/20121), done. 2025-12-04T08:27:03.8303020Z Note: switching to 'ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32'. 2025-12-04T08:27:03.8303630Z 2025-12-04T08:27:03.8303814Z You are in 'detached HEAD' state. You can look around, make experimental 2025-12-04T08:27:03.8304236Z changes and commit them, and you can discard any commits you make in this 2025-12-04T08:27:03.8304612Z state without impacting any branches by switching back to a branch. 2025-12-04T08:27:03.8304831Z 2025-12-04T08:27:03.8304983Z If you want to create a new branch to retain commits you create, you may 2025-12-04T08:27:03.8305320Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T08:27:03.8305503Z 2025-12-04T08:27:03.8305599Z git switch -c 2025-12-04T08:27:03.8305736Z 2025-12-04T08:27:03.8305818Z Or undo this operation with: 2025-12-04T08:27:03.8305951Z 2025-12-04T08:27:03.8306021Z git switch - 2025-12-04T08:27:03.8306119Z 2025-12-04T08:27:03.8306560Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T08:27:03.8306791Z 2025-12-04T08:27:03.8311403Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T08:27:03.8364653Z ##[endgroup] 2025-12-04T08:27:03.8365032Z ##[group]Setting up auth for fetching submodules 2025-12-04T08:27:03.8371463Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:27:03.8425371Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T08:27:03.8456567Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T08:27:03.8481809Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T08:27:03.8520720Z ##[endgroup] 2025-12-04T08:27:03.8521696Z ##[group]Fetching submodules 2025-12-04T08:27:03.8522022Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T08:27:03.8825043Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T08:27:03.9129869Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T08:27:03.9130629Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T08:27:03.9131294Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T08:27:03.9131924Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T08:27:03.9133635Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T08:27:03.9135974Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T08:27:03.9140789Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T08:27:03.9141726Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T08:27:03.9142320Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T08:27:03.9143494Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T08:27:03.9144832Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T08:27:03.9148336Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T08:27:03.9149364Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T08:27:03.9152647Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T08:27:03.9153380Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T08:27:03.9155945Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T08:27:03.9159899Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T08:27:03.9161883Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T08:27:03.9165030Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:27:03.9167396Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T08:27:03.9168841Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T08:27:03.9172052Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T08:27:03.9174861Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T08:27:03.9176534Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T08:27:03.9179657Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T08:27:03.9181432Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T08:27:03.9185116Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T08:27:03.9187019Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T08:27:03.9190598Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T08:27:03.9192693Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T08:27:03.9195456Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T08:27:03.9198811Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T08:27:03.9201638Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T08:27:03.9205331Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T08:27:03.9209969Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T08:27:03.9213725Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T08:27:03.9216619Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T08:27:03.9248485Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T08:27:04.1372840Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T08:27:04.1373347Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T08:27:04.1395911Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T08:27:04.5863630Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T08:27:04.5864143Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T08:27:04.5906037Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T08:27:12.9262150Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T08:27:12.9263123Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T08:27:12.9263963Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T08:27:12.9264807Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T08:27:12.9265689Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T08:27:12.9266846Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T08:27:12.9267796Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T08:27:12.9268687Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T08:27:12.9269647Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T08:27:12.9270423Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T08:27:12.9271161Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T08:27:12.9271915Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T08:27:12.9272747Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T08:27:12.9273523Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T08:27:12.9274292Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T08:27:12.9275048Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T08:27:12.9275852Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T08:27:12.9276773Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T08:27:12.9277566Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T08:27:12.9278385Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T08:27:12.9302580Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T08:27:40.3138170Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T08:27:40.3138721Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T08:27:40.3143595Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T08:27:40.3144821Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T08:27:40.3145346Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T08:27:40.3145791Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T08:27:40.3146235Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T08:27:40.3146674Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T08:27:40.4141598Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T08:27:40.8192916Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T08:27:40.8310395Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T08:27:40.8396546Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T08:27:40.8617375Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T08:27:40.9400895Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T08:27:40.9901415Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T08:27:41.5800369Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T08:27:41.7527757Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T08:27:41.7549540Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:27:41.7575096Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T08:27:46.9248361Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T08:27:46.9464789Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T08:27:47.2479318Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:27:47.2939087Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T08:27:47.3863389Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T08:27:47.4342324Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T08:27:48.0161617Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T08:27:48.1496065Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T08:27:48.1514427Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T08:27:48.1515293Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:27:48.1517087Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:27:48.1517717Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T08:27:48.1519547Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T08:27:48.1521728Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:27:48.1523083Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T08:27:48.1551201Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T08:27:49.5970178Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T08:27:49.5970794Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T08:27:49.5971348Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T08:27:49.6971725Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T08:27:53.2399158Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T08:27:53.3401971Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T08:27:56.7774981Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T08:27:57.0800523Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:27:57.1758857Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T08:27:57.7333085Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T08:27:57.7760858Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:27:57.7879600Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T08:27:57.8833186Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T08:27:57.9468278Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T08:27:57.9483927Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:27:57.9484701Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:27:57.9515515Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T08:28:02.8407982Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T08:28:03.0463246Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T08:28:03.5542021Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T08:28:03.6728630Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T08:28:03.7015283Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T08:28:03.7385683Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T08:28:03.7621141Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T08:28:03.8053454Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:28:03.8180651Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T08:28:03.8194861Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T08:28:03.8224612Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T08:28:21.2237561Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T08:28:21.2429101Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T08:28:21.3322402Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T08:28:21.3341881Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:28:21.3342684Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:28:21.3346457Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:28:21.3368687Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T08:28:22.7387560Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T08:28:23.1802514Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T08:28:23.2624298Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T08:28:23.2640141Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:28:23.2642197Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:28:23.2643554Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:28:23.2647053Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:28:23.2649528Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:28:23.2652361Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:28:23.2655452Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:28:23.2660113Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:28:23.2661500Z 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' 2025-12-04T08:28:23.2689727Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T08:28:25.2878309Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T08:28:25.2879074Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T08:28:25.2879852Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T08:28:25.2880549Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T08:28:25.2881493Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T08:28:25.2882473Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T08:28:25.2883188Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T08:28:25.3879560Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T08:28:31.7774071Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T08:28:31.7945344Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T08:28:31.8287258Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T08:28:31.8421088Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T08:28:31.8435157Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:28:31.8464739Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-12-04T08:28:32.1032151Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-12-04T08:28:32.1202235Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-12-04T08:28:32.1629747Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:28:32.2538594Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-12-04T08:28:32.2692202Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-12-04T08:28:32.2847387Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a' 2025-12-04T08:28:32.2860906Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:28:32.2861865Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:28:32.2888618Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-12-04T08:28:34.5781963Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'... 2025-12-04T08:28:34.8118674Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159' 2025-12-04T08:28:34.8567919Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-12-04T08:28:34.8886842Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-12-04T08:28:34.9316416Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:28:34.9803284Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe' 2025-12-04T08:28:35.0172076Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-12-04T08:28:35.1148296Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-12-04T08:28:35.4296459Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-12-04T08:28:35.4330123Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-12-04T08:28:35.4357309Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-12-04T08:28:36.3707497Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-12-04T08:28:36.4288451Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-12-04T08:28:36.4310646Z Submodule 'third_party/benchmark' 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:28:53.0753703Z [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" 2025-12-04T08:28:53.1066157Z Entering 'android/libs/fbjni' 2025-12-04T08:28:53.1123703Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-12-04T08:28:53.1141081Z Entering 'third_party/FP16' 2025-12-04T08:28:53.1194411Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-12-04T08:28:53.1213257Z Entering 'third_party/FXdiv' 2025-12-04T08:28:53.1262441Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-12-04T08:28:53.1280811Z Entering 'third_party/NNPACK' 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'third_party/protobuf/third_party/benchmark' 2025-12-04T08:28:54.0755982Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:28:54.0797675Z Entering 'third_party/psimd' 2025-12-04T08:28:54.0837248Z Entering 'third_party/pthreadpool' 2025-12-04T08:28:54.0878952Z Entering 'third_party/pybind11' 2025-12-04T08:28:54.0919461Z Entering 'third_party/python-peachpy' 2025-12-04T08:28:54.0959715Z Entering 'third_party/sleef' 2025-12-04T08:28:54.1001696Z Entering 'third_party/tensorpipe' 2025-12-04T08:28:54.1042635Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:28:54.1079254Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:28:54.1118604Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:28:54.1158513Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:28:54.1195366Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:28:54.1258212Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T08:28:54.1559563Z Entering 'android/libs/fbjni' 2025-12-04T08:28:54.1602955Z Entering 'third_party/FP16' 2025-12-04T08:28:54.1648247Z Entering 'third_party/FXdiv' 2025-12-04T08:28:54.1686110Z Entering 'third_party/NNPACK' 2025-12-04T08:28:54.1725683Z Entering 'third_party/NVTX' 2025-12-04T08:28:54.1770742Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:28:54.1824083Z Entering 'third_party/XNNPACK' 2025-12-04T08:28:54.1870712Z Entering 'third_party/aiter' 2025-12-04T08:28:54.1914505Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:28:54.1966264Z Entering 'third_party/benchmark' 2025-12-04T08:28:54.2009108Z Entering 'third_party/composable_kernel' 2025-12-04T08:28:54.2061540Z Entering 'third_party/cpp-httplib' 2025-12-04T08:28:54.2104665Z Entering 'third_party/cpuinfo' 2025-12-04T08:28:54.2148428Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:28:54.2189136Z Entering 'third_party/cutlass' 2025-12-04T08:28:54.2233953Z Entering 'third_party/fbgemm' 2025-12-04T08:28:54.2279820Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:28:54.2320456Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:28:54.2365499Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:28:54.2411295Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:28:54.2460565Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:28:54.2496405Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:28:54.2534772Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:28:54.2578972Z Entering 'third_party/flash-attention' 2025-12-04T08:28:54.2620871Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:28:54.2666226Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:28:54.2714497Z Entering 'third_party/flatbuffers' 2025-12-04T08:28:54.2759407Z Entering 'third_party/fmt' 2025-12-04T08:28:54.2800053Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:28:54.2842561Z Entering 'third_party/gloo' 2025-12-04T08:28:54.2884288Z Entering 'third_party/googletest' 2025-12-04T08:28:54.2931660Z Entering 'third_party/ideep' 2025-12-04T08:28:54.2971957Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:28:54.3018677Z Entering 'third_party/ittapi' 2025-12-04T08:28:54.3062937Z Entering 'third_party/kineto' 2025-12-04T08:28:54.3100254Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:28:54.3142365Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:28:54.3182426Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:28:54.3222543Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:28:54.3261568Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:28:54.3300794Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:28:54.3348673Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:28:54.3389355Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:28:54.3434289Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:28:54.3476351Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:28:54.3517405Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:28:54.3553789Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:28:54.3593420Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:28:54.3638832Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:28:54.3678314Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:28:54.3720297Z Entering 'third_party/kleidiai' 2025-12-04T08:28:54.3760339Z Entering 'third_party/mimalloc' 2025-12-04T08:28:54.3801524Z Entering 'third_party/nlohmann' 2025-12-04T08:28:54.3847394Z Entering 'third_party/onnx' 2025-12-04T08:28:54.3902286Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:28:54.3947176Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:28:54.3990481Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:28:54.4029114Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:28:54.4071909Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:28:54.4110077Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:28:54.4153969Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:28:54.4187725Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:28:54.4225767Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:28:54.4269291Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:28:54.4312503Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:28:54.4353384Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:28:54.4409168Z Entering 'third_party/pocketfft' 2025-12-04T08:28:54.4454466Z Entering 'third_party/protobuf' 2025-12-04T08:28:54.4493279Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:28:54.4539287Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:28:54.4587503Z Entering 'third_party/psimd' 2025-12-04T08:28:54.4626490Z Entering 'third_party/pthreadpool' 2025-12-04T08:28:54.4671938Z Entering 'third_party/pybind11' 2025-12-04T08:28:54.4711550Z Entering 'third_party/python-peachpy' 2025-12-04T08:28:54.4748727Z Entering 'third_party/sleef' 2025-12-04T08:28:54.4791415Z Entering 'third_party/tensorpipe' 2025-12-04T08:28:54.4833123Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:28:54.4872496Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:28:54.4911669Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:28:54.4953937Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:28:54.4993784Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:28:54.5057020Z ##[endgroup] 2025-12-04T08:28:54.5084910Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T08:28:54.5107885Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:28:54.5206783Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T08:28:54.5207092Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:28:54.5207311Z # Clean stale submodule dirs 2025-12-04T08:28:54.5207535Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:28:54.5207803Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T08:28:54.5208061Z else 2025-12-04T08:28:54.5208289Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T08:28:54.5208543Z fi 2025-12-04T08:28:54.5216478Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:54.5216743Z env: 2025-12-04T08:28:54.5216946Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:54.5217134Z NO_SUDO: true 2025-12-04T08:28:54.5217302Z ##[endgroup] 2025-12-04T08:28:54.5547782Z Entering 'android/libs/fbjni' 2025-12-04T08:28:54.5579571Z Entering 'third_party/FP16' 2025-12-04T08:28:54.5612498Z Entering 'third_party/FXdiv' 2025-12-04T08:28:54.5642306Z Entering 'third_party/NNPACK' 2025-12-04T08:28:54.5676650Z Entering 'third_party/NVTX' 2025-12-04T08:28:54.5713842Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:28:54.5743653Z Entering 'third_party/XNNPACK' 2025-12-04T08:28:54.5848361Z Entering 'third_party/aiter' 2025-12-04T08:28:54.5884189Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:28:54.5974429Z Entering 'third_party/benchmark' 2025-12-04T08:28:54.6006623Z Entering 'third_party/composable_kernel' 2025-12-04T08:28:54.6110772Z Entering 'third_party/cpp-httplib' 2025-12-04T08:28:54.6141935Z Entering 'third_party/cpuinfo' 2025-12-04T08:28:54.6178319Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:28:54.6212358Z Entering 'third_party/cutlass' 2025-12-04T08:28:54.6297434Z Entering 'third_party/fbgemm' 2025-12-04T08:28:54.6351547Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:28:54.6383340Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:28:54.6481963Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:28:54.6515920Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:28:54.6597605Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:28:54.6636268Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:28:54.6662954Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:28:54.6704590Z Entering 'third_party/flash-attention' 2025-12-04T08:28:54.6743103Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:28:54.6826222Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:28:54.6899720Z Entering 'third_party/flatbuffers' 2025-12-04T08:28:54.6958988Z Entering 'third_party/fmt' 2025-12-04T08:28:54.6991068Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:28:54.7026869Z Entering 'third_party/gloo' 2025-12-04T08:28:54.7065268Z Entering 'third_party/googletest' 2025-12-04T08:28:54.7100686Z Entering 'third_party/ideep' 2025-12-04T08:28:54.7130566Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:28:54.7202718Z Entering 'third_party/ittapi' 2025-12-04T08:28:54.7233811Z Entering 'third_party/kineto' 2025-12-04T08:28:54.7266872Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:28:54.7298834Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:28:54.7343802Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:28:54.7373289Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:28:54.7403845Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:28:54.7431528Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:28:54.7470653Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:28:54.7497120Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:28:54.7531120Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:28:54.7568381Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:28:54.7598584Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:28:54.7632297Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:28:54.7674430Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:28:54.7713054Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:28:54.7745226Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:28:54.7778355Z Entering 'third_party/kleidiai' 2025-12-04T08:28:54.7817937Z Entering 'third_party/mimalloc' 2025-12-04T08:28:54.7848520Z Entering 'third_party/nlohmann' 2025-12-04T08:28:54.7888415Z Entering 'third_party/onnx' 2025-12-04T08:28:54.8140544Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:28:54.8176702Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:28:54.8225381Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:28:54.8259274Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:28:54.8289749Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:28:54.8319343Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:28:54.8360438Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:28:54.8395941Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:28:54.8430652Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:28:54.8457832Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:28:54.8500069Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:28:54.8537860Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:28:54.8736049Z Entering 'third_party/pocketfft' 2025-12-04T08:28:54.8768715Z Entering 'third_party/protobuf' 2025-12-04T08:28:54.8834027Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:28:54.8865782Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:28:54.8898098Z Entering 'third_party/psimd' 2025-12-04T08:28:54.8926353Z Entering 'third_party/pthreadpool' 2025-12-04T08:28:54.8958484Z Entering 'third_party/pybind11' 2025-12-04T08:28:54.8989942Z Entering 'third_party/python-peachpy' 2025-12-04T08:28:54.9027806Z Entering 'third_party/sleef' 2025-12-04T08:28:54.9064660Z Entering 'third_party/tensorpipe' 2025-12-04T08:28:54.9097134Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:28:54.9128111Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:28:54.9157451Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:28:54.9190440Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:28:54.9225370Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:28:54.9356855Z Prepare all required actions 2025-12-04T08:28:54.9357368Z Getting action download info 2025-12-04T08:28:55.1072543Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T08:28:55.1072789Z env: 2025-12-04T08:28:55.1072958Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:55.1073154Z ##[endgroup] 2025-12-04T08:28:55.1117056Z ##[group]Run set -euo pipefail 2025-12-04T08:28:55.1117341Z set -euo pipefail 2025-12-04T08:28:55.1117557Z function get_ec2_metadata() { 2025-12-04T08:28:55.1117825Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T08:28:55.1118250Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T08:28:55.1118611Z  category=$1 2025-12-04T08:28:55.1119015Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T08:28:55.1119302Z  runner_name_str=i-0b9d551adbd892c98 2025-12-04T08:28:55.1119585Z  if [[ -f /.inarc ]]; then 2025-12-04T08:28:55.1119820Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T08:28:55.1120086Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T08:28:55.1120391Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T08:28:55.1120669Z  else 2025-12-04T08:28:55.1121544Z  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}" 2025-12-04T08:28:55.1122166Z  fi 2025-12-04T08:28:55.1122331Z } 2025-12-04T08:28:55.1122534Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T08:28:55.1122820Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T08:28:55.1123149Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T08:28:55.1123433Z echo "system info $(uname -a)" 2025-12-04T08:28:55.1129534Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:55.1129795Z env: 2025-12-04T08:28:55.1129967Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:55.1130155Z ##[endgroup] 2025-12-04T08:28:55.1274310Z ami-id: ami-08982f1c5bf93d976 2025-12-04T08:28:55.1371384Z instance-id: i-0b9d551adbd892c98 2025-12-04T08:28:55.1466846Z instance-type: m7i-flex.2xlarge 2025-12-04T08:28:55.1475153Z system info Linux ip-10-0-22-86.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T08:28:55.1499564Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:28:55.1499930Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:28:55.1505148Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:55.1505427Z env: 2025-12-04T08:28:55.1505588Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:55.1505784Z ##[endgroup] 2025-12-04T08:28:55.1554418Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:28:55.1554979Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:28:55.1559493Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:55.1559751Z env: 2025-12-04T08:28:55.1559923Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:55.1560110Z ##[endgroup] 2025-12-04T08:28:55.1608677Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T08:28:55.1608983Z if systemctl is-active --quiet docker; then 2025-12-04T08:28:55.1609245Z  echo "Docker daemon is running..."; 2025-12-04T08:28:55.1609470Z else 2025-12-04T08:28:55.1609721Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T08:28:55.1609990Z fi 2025-12-04T08:28:55.1614220Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:55.1614474Z env: 2025-12-04T08:28:55.1614633Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:55.1614819Z ##[endgroup] 2025-12-04T08:28:55.1691869Z Docker daemon is running... 2025-12-04T08:28:55.1727218Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:28:55.1727439Z with: 2025-12-04T08:28:55.1727596Z shell: bash 2025-12-04T08:28:55.1727767Z timeout_minutes: 5 2025-12-04T08:28:55.1727946Z max_attempts: 3 2025-12-04T08:28:55.1728118Z retry_wait_seconds: 30 2025-12-04T08:28:55.1729558Z command: AWS_ACCOUNT_ID=$(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 2025-12-04T08:28:55.1731053Z polling_interval_seconds: 1 2025-12-04T08:28:55.1731253Z warning_on_retry: true 2025-12-04T08:28:55.1731443Z continue_on_error: false 2025-12-04T08:28:55.1731619Z env: 2025-12-04T08:28:55.1731786Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:55.1731980Z AWS_RETRY_MODE: standard 2025-12-04T08:28:55.1732157Z AWS_MAX_ATTEMPTS: 5 2025-12-04T08:28:55.1732345Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T08:28:55.1732542Z ##[endgroup] 2025-12-04T08:28:56.2429193Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:28:56.2429649Z Configure a credential helper to remove this warning. See 2025-12-04T08:28:56.2430094Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:28:56.2430350Z 2025-12-04T08:28:56.2430552Z Login Succeeded 2025-12-04T08:28:56.3286151Z Command completed after 1 attempt(s). 2025-12-04T08:28:56.3338054Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:28:56.3338413Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:28:56.3338718Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:28:56.3346616Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:56.3346870Z env: 2025-12-04T08:28:56.3347040Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:56.3347226Z ##[endgroup] 2025-12-04T08:28:56.3458327Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:28:56.3458721Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:28:56.3459009Z # shellcheck disable=SC2046 2025-12-04T08:28:56.3459271Z docker stop $(docker ps -q) || true 2025-12-04T08:28:56.3459515Z # Prune all of the docker images 2025-12-04T08:28:56.3459751Z docker system prune -af 2025-12-04T08:28:56.3465255Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:56.3465510Z env: 2025-12-04T08:28:56.3465670Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:56.3465854Z ##[endgroup] 2025-12-04T08:28:56.3904838Z "docker stop" requires at least 1 argument. 2025-12-04T08:28:56.3905185Z See 'docker stop --help'. 2025-12-04T08:28:56.3905313Z 2025-12-04T08:28:56.3905439Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T08:28:56.3905646Z 2025-12-04T08:28:56.3905732Z Stop one or more running containers 2025-12-04T08:28:56.4271996Z Total reclaimed space: 0B 2025-12-04T08:28:56.4414291Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T08:28:56.4414637Z with: 2025-12-04T08:28:56.4415230Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:56.4415897Z use-custom-docker-registry: true 2025-12-04T08:28:56.4416144Z docker-build-dir: .ci/docker 2025-12-04T08:28:56.4416375Z docker-build-script: ./build.sh 2025-12-04T08:28:56.4416596Z working-directory: . 2025-12-04T08:28:56.4416861Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:56.4417148Z force-push: false 2025-12-04T08:28:56.4417331Z env: 2025-12-04T08:28:56.4417508Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:56.4417713Z ##[endgroup] 2025-12-04T08:28:56.4447152Z ##[group]Run set -ex 2025-12-04T08:28:56.4447403Z set -ex 2025-12-04T08:28:56.4447572Z  2025-12-04T08:28:56.4447889Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T08:28:56.4448328Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T08:28:56.4448834Z # job could then download the pre-built image as usual 2025-12-04T08:28:56.4449288Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T08:28:56.4449699Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:56.4449933Z else 2025-12-04T08:28:56.4450132Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:56.4450441Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:56.4450709Z  2025-12-04T08:28:56.4451078Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T08:28:56.4451485Z  exit 0 2025-12-04T08:28:56.4451641Z fi 2025-12-04T08:28:56.4451797Z  2025-12-04T08:28:56.4452038Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T08:28:56.4452432Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T08:28:56.4452778Z  # use it as it is, but first let's extract the tag 2025-12-04T08:28:56.4453101Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T08:28:56.4453439Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:56.4453757Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:56.4454024Z else 2025-12-04T08:28:56.4454223Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T08:28:56.4454489Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T08:28:56.4454754Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T08:28:56.4454983Z  fi 2025-12-04T08:28:56.4455291Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T08:28:56.4455688Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:56.4456100Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:56.4456595Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:56.4456915Z fi 2025-12-04T08:28:56.4461872Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:56.4462136Z env: 2025-12-04T08:28:56.4462308Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:56.4462501Z REPO_NAME: pytorch 2025-12-04T08:28:56.4463177Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:56.4463787Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:28:56.4463999Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T08:28:56.4464272Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:56.4464554Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T08:28:56.4464768Z CUSTOM_TAG_PREFIX: 2025-12-04T08:28:56.4464942Z ##[endgroup] 2025-12-04T08:28:56.4487360Z + [[ -d .ci/docker ]] 2025-12-04T08:28:56.4487562Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T08:28:56.4487808Z + [[ true == \t\r\u\e ]] 2025-12-04T08:28:56.4488122Z + echo skip=false 2025-12-04T08:28:56.4488853Z + [[ 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* ]] 2025-12-04T08:28:56.4495660Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:56.4496316Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T08:28:56.4596065Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:56.4596817Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:56.4597916Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:56.4632845Z ##[group]Run set +e 2025-12-04T08:28:56.4633106Z set +e 2025-12-04T08:28:56.4633288Z set -x 2025-12-04T08:28:56.4633452Z  2025-12-04T08:28:56.4633605Z login() { 2025-12-04T08:28:56.4633936Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:28:56.4634289Z } 2025-12-04T08:28:56.4634440Z  2025-12-04T08:28:56.4634592Z retry () { 2025-12-04T08:28:56.4634785Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:28:56.4635007Z } 2025-12-04T08:28:56.4635157Z  2025-12-04T08:28:56.4635323Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:28:56.4635521Z  2025-12-04T08:28:56.4635679Z START_TIME=$(date +%s) 2025-12-04T08:28:56.4635887Z # Wait up to 120 minutes 2025-12-04T08:28:56.4636140Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T08:28:56.4636448Z  # Check if image already exists, if it does then skip building it 2025-12-04T08:28:56.4636765Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T08:28:56.4637004Z  exit 0 2025-12-04T08:28:56.4637164Z  fi 2025-12-04T08:28:56.4637321Z  2025-12-04T08:28:56.4637583Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T08:28:56.4638025Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T08:28:56.4638437Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T08:28:56.4638767Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T08:28:56.4639038Z  # It's a Docker build job, let's build the image 2025-12-04T08:28:56.4639266Z  break 2025-12-04T08:28:56.4639426Z  else 2025-12-04T08:28:56.4639658Z  # It's a regular build job, wait for the image to become available 2025-12-04T08:28:56.4639924Z  sleep 300 2025-12-04T08:28:56.4640092Z  fi 2025-12-04T08:28:56.4640252Z done 2025-12-04T08:28:56.4640405Z  2025-12-04T08:28:56.4640641Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T08:28:56.4641106Z # be empty. The default action would be to continue rebuild the image 2025-12-04T08:28:56.4641645Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T08:28:56.4642095Z  # if we're on the base branch then use the parent commit 2025-12-04T08:28:56.4642438Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T08:28:56.4642661Z else 2025-12-04T08:28:56.4642892Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T08:28:56.4643213Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T08:28:56.4643443Z fi 2025-12-04T08:28:56.4643593Z  2025-12-04T08:28:56.4643766Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T08:28:56.4643996Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:56.4644217Z  2025-12-04T08:28:56.4644522Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T08:28:56.4644862Z  exit 0 2025-12-04T08:28:56.4645016Z fi 2025-12-04T08:28:56.4645165Z  2025-12-04T08:28:56.4645378Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T08:28:56.4645889Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T08:28:56.4646360Z  exit 1 2025-12-04T08:28:56.4646533Z fi 2025-12-04T08:28:56.4646678Z  2025-12-04T08:28:56.4646923Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T08:28:56.4647334Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T08:28:56.4647701Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T08:28:56.4648119Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T08:28:56.4648601Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T08:28:56.4648891Z fi 2025-12-04T08:28:56.4649046Z  2025-12-04T08:28:56.4649223Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:28:56.4655600Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:56.4655991Z env: 2025-12-04T08:28:56.4656227Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:56.4656511Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:28:56.4656888Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:28:56.4657972Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:56.4659329Z DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:56.4660141Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:56.4660572Z DOCKER_PUSH: 2025-12-04T08:28:56.4660828Z ##[endgroup] 2025-12-04T08:28:56.4687212Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:56.4687758Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:56.4689663Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:28:56.4690415Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:56.9134146Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:28:56.9134571Z Login Succeeded 2025-12-04T08:28:56.9134818Z Configure a credential helper to remove this warning. See 2025-12-04T08:28:56.9135209Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:28:56.9135510Z 2025-12-04T08:28:56.9152444Z ++ date +%s 2025-12-04T08:28:56.9165422Z + START_TIME=1764836936 2025-12-04T08:28:56.9168100Z ++ date +%s 2025-12-04T08:28:56.9176738Z + [[ 1764829736 -lt 1764836936 ]] 2025-12-04T08:28:56.9177466Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:57.1222027Z { 2025-12-04T08:28:57.1222332Z "schemaVersion": 2, 2025-12-04T08:28:57.1222672Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T08:28:57.1222990Z "config": { 2025-12-04T08:28:57.1223242Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T08:28:57.1223522Z "size": 33581, 2025-12-04T08:28:57.1223822Z "digest": "sha256:40bd34edc3497e05e2150804a15313235b6426bcc4b8c19c03c3daf5524be913" 2025-12-04T08:28:57.1224183Z }, 2025-12-04T08:28:57.1224335Z "layers": [ 2025-12-04T08:28:57.1224492Z { 2025-12-04T08:28:57.1224732Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1225022Z "size": 30447951, 2025-12-04T08:28:57.1225346Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T08:28:57.1225660Z }, 2025-12-04T08:28:57.1225811Z { 2025-12-04T08:28:57.1226035Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1226659Z "size": 1554, 2025-12-04T08:28:57.1226947Z "digest": "sha256:6dc15eca51381c13be16385052dd2378ab1dce5fb77f7e7bceab34ed72e6e0e5" 2025-12-04T08:28:57.1227298Z }, 2025-12-04T08:28:57.1227453Z { 2025-12-04T08:28:57.1227679Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1228016Z "size": 313274856, 2025-12-04T08:28:57.1228313Z "digest": "sha256:459f4df18f07c473cb662e8033f9dab9f68c9ac71608767ad055999fae6b31e2" 2025-12-04T08:28:57.1228620Z }, 2025-12-04T08:28:57.1228762Z { 2025-12-04T08:28:57.1228972Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1229243Z "size": 787, 2025-12-04T08:28:57.1229527Z "digest": "sha256:82108541691974f1cc469d0ec89a048191b8de4dc36bf9a0184a4bd50120b69d" 2025-12-04T08:28:57.1229829Z }, 2025-12-04T08:28:57.1229972Z { 2025-12-04T08:28:57.1230199Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1230486Z "size": 106, 2025-12-04T08:28:57.1230762Z "digest": "sha256:3738646b3d92a3f1b6529ba588c00216c306c997ad77730f207c7107c2e5aff3" 2025-12-04T08:28:57.1231068Z }, 2025-12-04T08:28:57.1231198Z { 2025-12-04T08:28:57.1231414Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1231689Z "size": 704, 2025-12-04T08:28:57.1231956Z "digest": "sha256:aa9a10a37b3945f69568695fa4a9321333654a69dd44c55eff4e26bf9bffcad1" 2025-12-04T08:28:57.1232260Z }, 2025-12-04T08:28:57.1232393Z { 2025-12-04T08:28:57.1232678Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1233000Z "size": 1218, 2025-12-04T08:28:57.1233290Z "digest": "sha256:55bac08f3e18897f61d3e7f28ada6547b05b3c36f559a882656834d43de61478" 2025-12-04T08:28:57.1233598Z }, 2025-12-04T08:28:57.1233729Z { 2025-12-04T08:28:57.1233951Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1234230Z "size": 485, 2025-12-04T08:28:57.1234510Z "digest": "sha256:acf6468f6aadc3613e3b8fe73c016ce8d6f47f01e0cfee3a1015d0335c24d691" 2025-12-04T08:28:57.1234826Z }, 2025-12-04T08:28:57.1234961Z { 2025-12-04T08:28:57.1235181Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1235456Z "size": 110362453, 2025-12-04T08:28:57.1235746Z "digest": "sha256:c0c31a0e69b798875a8d2c05d01a6861b2fe623e1970bf7faf822e7df6691d2c" 2025-12-04T08:28:57.1236049Z }, 2025-12-04T08:28:57.1236179Z { 2025-12-04T08:28:57.1236396Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1236670Z "size": 4961, 2025-12-04T08:28:57.1237123Z "digest": "sha256:0f7d0dc70d2d944cc1c8a592f051d3f28d2b062c79166713fb7cc9225b4c97c0" 2025-12-04T08:28:57.1237537Z }, 2025-12-04T08:28:57.1237801Z { 2025-12-04T08:28:57.1238017Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1238295Z "size": 1756, 2025-12-04T08:28:57.1238578Z "digest": "sha256:58c4d15d3bc18a789eb0d1a13f68df0b1d6cea66697fe63adf11b53fec74ba18" 2025-12-04T08:28:57.1238875Z }, 2025-12-04T08:28:57.1239005Z { 2025-12-04T08:28:57.1239224Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1239491Z "size": 724, 2025-12-04T08:28:57.1239761Z "digest": "sha256:2f1cc47b61e1ebefa16f8ee12c5a1df77b109a84a8e8f425e7d65ec51cafdb93" 2025-12-04T08:28:57.1240064Z }, 2025-12-04T08:28:57.1240201Z { 2025-12-04T08:28:57.1240410Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1240673Z "size": 543, 2025-12-04T08:28:57.1240940Z "digest": "sha256:d2472a74103d877e6532d6409a2ac9d54db6672b5d3002be011fdbbd8d360c49" 2025-12-04T08:28:57.1241292Z }, 2025-12-04T08:28:57.1241444Z { 2025-12-04T08:28:57.1241668Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1241939Z "size": 3353192867, 2025-12-04T08:28:57.1242240Z "digest": "sha256:d1fba72936888ea8f8e4c7ad015bfcf3285017b95f3d72795d5b6a0b0ded36fc" 2025-12-04T08:28:57.1242614Z }, 2025-12-04T08:28:57.1242750Z { 2025-12-04T08:28:57.1242962Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1243270Z "size": 32, 2025-12-04T08:28:57.1243542Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:28:57.1243851Z }, 2025-12-04T08:28:57.1243996Z { 2025-12-04T08:28:57.1244210Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1244490Z "size": 397, 2025-12-04T08:28:57.1244771Z "digest": "sha256:6a9b03ce41a77be16366fba2c6ca0aabefe42ee4879ab5d088b312970e830770" 2025-12-04T08:28:57.1245080Z }, 2025-12-04T08:28:57.1245213Z { 2025-12-04T08:28:57.1245437Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1245710Z "size": 237420, 2025-12-04T08:28:57.1245979Z "digest": "sha256:3519ac15be7978a14201f5d431b6472ed30382cde8628c6401c9db98ccd1a871" 2025-12-04T08:28:57.1246282Z }, 2025-12-04T08:28:57.1246419Z { 2025-12-04T08:28:57.1246632Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1246907Z "size": 231, 2025-12-04T08:28:57.1247182Z "digest": "sha256:dabb51b819a06823e5a1c8d4f9e29b689f38b19ee1e90da40075bd1593b8d0fb" 2025-12-04T08:28:57.1247488Z }, 2025-12-04T08:28:57.1247629Z { 2025-12-04T08:28:57.1247851Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1248115Z "size": 2967944, 2025-12-04T08:28:57.1248400Z "digest": "sha256:8f36833a24d02d47bf18bdc573adbb45afb8f5f06886da9bd671a1a33e3007bd" 2025-12-04T08:28:57.1248703Z }, 2025-12-04T08:28:57.1248845Z { 2025-12-04T08:28:57.1274938Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1275406Z "size": 1472, 2025-12-04T08:28:57.1275721Z "digest": "sha256:ab53c5a853a52de13f11fbb026aaf469754adbe52b02e96f4fbdc05916585244" 2025-12-04T08:28:57.1276056Z }, 2025-12-04T08:28:57.1276241Z { 2025-12-04T08:28:57.1276481Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1276834Z "size": 482, 2025-12-04T08:28:57.1277190Z + exit 0 2025-12-04T08:28:57.1277538Z "digest": "sha256:025a0e5e6ac19cb2d27c9423a5d019a34ea7d4004d426d6b890693ccfe9f54d3" 2025-12-04T08:28:57.1277849Z }, 2025-12-04T08:28:57.1278001Z { 2025-12-04T08:28:57.1278372Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1278657Z "size": 200, 2025-12-04T08:28:57.1278954Z "digest": "sha256:ce3394c8f2109f4538f6e7f2c39f685d0ba028aacac33ddacbb8ef9fd349702e" 2025-12-04T08:28:57.1279277Z }, 2025-12-04T08:28:57.1279424Z { 2025-12-04T08:28:57.1279670Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1280129Z "size": 608, 2025-12-04T08:28:57.1280466Z "digest": "sha256:a5c3888c3a0c5812efbfe307d18de826363900fa8d8097c1ee84a72630aa067b" 2025-12-04T08:28:57.1280787Z }, 2025-12-04T08:28:57.1280938Z { 2025-12-04T08:28:57.1281162Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1281646Z "size": 225, 2025-12-04T08:28:57.1281942Z "digest": "sha256:ed902a3a4e3b916aa869b612baf9cd36745b671b6781d19e3b4c3fadc2f513f5" 2025-12-04T08:28:57.1282260Z }, 2025-12-04T08:28:57.1282402Z { 2025-12-04T08:28:57.1282643Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1282928Z "size": 829, 2025-12-04T08:28:57.1283215Z "digest": "sha256:b4e1efca22beb475459a14f4a571a2512c2b1ed4b24e66bd3f82f1681dc5b1bc" 2025-12-04T08:28:57.1283532Z }, 2025-12-04T08:28:57.1283683Z { 2025-12-04T08:28:57.1283909Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1284199Z "size": 32, 2025-12-04T08:28:57.1284499Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:28:57.1284812Z }, 2025-12-04T08:28:57.1284965Z { 2025-12-04T08:28:57.1285278Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1285620Z "size": 104, 2025-12-04T08:28:57.1285918Z "digest": "sha256:79fcfd297d9fcfe2810595fc2c6ba503293b59046bc192bb0620a64d9bdff778" 2025-12-04T08:28:57.1286238Z }, 2025-12-04T08:28:57.1286387Z { 2025-12-04T08:28:57.1286615Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1286899Z "size": 1495, 2025-12-04T08:28:57.1287191Z "digest": "sha256:7bd89c134b49f83cfb0725df3615556b60af380b932186c5abd001232b4597cf" 2025-12-04T08:28:57.1287501Z }, 2025-12-04T08:28:57.1287653Z { 2025-12-04T08:28:57.1287885Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1288166Z "size": 458790783, 2025-12-04T08:28:57.1288479Z "digest": "sha256:b7d40b4fd1b9375cfd45d5c593ec0cccc21c80d667ea79f4effb09f04b0705b0" 2025-12-04T08:28:57.1288803Z }, 2025-12-04T08:28:57.1288942Z { 2025-12-04T08:28:57.1309896Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1310190Z "size": 163, 2025-12-04T08:28:57.1310480Z "digest": 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"sha256:df645e678f95db120f96e4c4c66400d315ed9214d9085216b417348cf682d43a" 2025-12-04T08:28:57.1368416Z }, 2025-12-04T08:28:57.1368546Z { 2025-12-04T08:28:57.1368765Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1369028Z "size": 8076, 2025-12-04T08:28:57.1369294Z "digest": "sha256:52ad6c17d10308710fb2dc855f911246b7a369ccf5c3142cb3ad7fb182f708b8" 2025-12-04T08:28:57.1369590Z }, 2025-12-04T08:28:57.1369727Z { 2025-12-04T08:28:57.1369938Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1370206Z "size": 302, 2025-12-04T08:28:57.1370478Z "digest": "sha256:34408374e32c70dbcfd7e0516edaa8698c25e6e3dbcd920978f2b3a801bbe659" 2025-12-04T08:28:57.1370774Z }, 2025-12-04T08:28:57.1370900Z { 2025-12-04T08:28:57.1371110Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1371376Z "size": 32, 2025-12-04T08:28:57.1371640Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:28:57.1371938Z }, 2025-12-04T08:28:57.1372071Z { 2025-12-04T08:28:57.1372281Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1372545Z "size": 108, 2025-12-04T08:28:57.1372821Z "digest": "sha256:27803b661d9e2cb1ce49c0a100ce824fbcbdd1f3a3ceda4ed5affbcb07ac3be4" 2025-12-04T08:28:57.1373116Z }, 2025-12-04T08:28:57.1373256Z { 2025-12-04T08:28:57.1373473Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1373749Z "size": 54145699, 2025-12-04T08:28:57.1374038Z "digest": "sha256:07dafc893dea952d7677124b42e90b29b167fabe81e8a9d8b3fb4b0aa11b66ec" 2025-12-04T08:28:57.1374342Z }, 2025-12-04T08:28:57.1374480Z { 2025-12-04T08:28:57.1374689Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:28:57.1374956Z "size": 32, 2025-12-04T08:28:57.1375233Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:28:57.1375539Z } 2025-12-04T08:28:57.1375678Z ] 2025-12-04T08:28:57.1375820Z } 2025-12-04T08:28:57.1410394Z ##[group]Run set -eux 2025-12-04T08:28:57.1410609Z set -eux 2025-12-04T08:28:57.1410884Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T08:28:57.1411698Z 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 2025-12-04T08:28:57.1417110Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:57.1417369Z env: 2025-12-04T08:28:57.1417535Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:57.1417724Z ##[endgroup] 2025-12-04T08:28:57.1442280Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T08:28:57.1443362Z + jq --raw-output .SecretString 2025-12-04T08:28:57.1443633Z + jq -r .docker_hub_readonly_token 2025-12-04T08:28:57.1447904Z + docker login --username pytorchbot --password-stdin 2025-12-04T08:28:57.6403196Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:28:57.6403930Z Configure a credential helper to remove this warning. See 2025-12-04T08:28:57.6404356Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:28:57.6404638Z 2025-12-04T08:28:57.6404851Z Login Succeeded 2025-12-04T08:28:57.6489875Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:28:57.6490154Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:28:57.6490567Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T08:28:57.6496049Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:57.6496304Z env: 2025-12-04T08:28:57.6496475Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:57.6497052Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:57.6497617Z ##[endgroup] 2025-12-04T08:28:57.6521976Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:57.6569451Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T08:28:57.6569803Z with: 2025-12-04T08:28:57.6570440Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:57.6571218Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:57.6571529Z env: 2025-12-04T08:28:57.6571723Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:57.6571940Z ##[endgroup] 2025-12-04T08:28:57.6594080Z ##[group]Run set -x 2025-12-04T08:28:57.6594323Z set -x 2025-12-04T08:28:57.6594507Z set +e 2025-12-04T08:28:57.6594693Z  2025-12-04T08:28:57.6594885Z login() { 2025-12-04T08:28:57.6595247Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:28:57.6595643Z } 2025-12-04T08:28:57.6595796Z  2025-12-04T08:28:57.6595982Z retry () { 2025-12-04T08:28:57.6596166Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:28:57.6596384Z } 2025-12-04T08:28:57.6596550Z  2025-12-04T08:28:57.6596744Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:28:57.6596943Z  2025-12-04T08:28:57.6597281Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T08:28:57.6597709Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T08:28:57.6597954Z  2025-12-04T08:28:57.6598107Z set -e 2025-12-04T08:28:57.6598347Z # ignore output since only exit code is used for conditional 2025-12-04T08:28:57.6598674Z # only pull docker image if it's not available locally 2025-12-04T08:28:57.6599024Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T08:28:57.6599357Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T08:28:57.6599579Z fi 2025-12-04T08:28:57.6606020Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:28:57.6606293Z env: 2025-12-04T08:28:57.6606470Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:28:57.6607058Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:57.6607703Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:57.6607964Z ##[endgroup] 2025-12-04T08:28:57.6630465Z + set +e 2025-12-04T08:28:57.6630752Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:57.6631100Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:57.6631863Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:28:57.6632311Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:28:58.1354304Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:28:58.1354754Z Configure a credential helper to remove this warning. See 2025-12-04T08:28:58.1355158Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:28:58.1355414Z 2025-12-04T08:28:58.1355491Z Login Succeeded 2025-12-04T08:28:58.1373399Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:58.1374047Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T08:28:58.3613303Z + IMAGE_SIZE=29010.187264442444 2025-12-04T08:28:58.3613660Z + echo 'Compressed size of image in MB: 29010.187264442444' 2025-12-04T08:28:58.3613937Z + set -e 2025-12-04T08:28:58.3614977Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:58.3620449Z Compressed size of image in MB: 29010.187264442444 2025-12-04T08:28:58.3747155Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:58.3748208Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:28:58.6062878Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T08:28:58.6063676Z 63e5bc7682b8: Pulling fs layer 2025-12-04T08:28:58.6063899Z 6dc15eca5138: Pulling fs layer 2025-12-04T08:28:58.6064113Z 459f4df18f07: Pulling fs layer 2025-12-04T08:28:58.6064435Z 821085416919: Pulling fs layer 2025-12-04T08:28:58.6064623Z 3738646b3d92: Pulling fs layer 2025-12-04T08:28:58.6064820Z aa9a10a37b39: Pulling fs layer 2025-12-04T08:28:58.6065080Z 55bac08f3e18: Pulling fs layer 2025-12-04T08:28:58.6065275Z acf6468f6aad: Pulling fs layer 2025-12-04T08:28:58.6065473Z c0c31a0e69b7: Pulling fs layer 2025-12-04T08:28:58.6065670Z 0f7d0dc70d2d: Pulling fs layer 2025-12-04T08:28:58.6065858Z 58c4d15d3bc1: Pulling fs layer 2025-12-04T08:28:58.6066056Z 2f1cc47b61e1: Pulling fs layer 2025-12-04T08:28:58.6066264Z d2472a74103d: Pulling fs layer 2025-12-04T08:28:58.6066618Z d1fba7293688: Pulling fs layer 2025-12-04T08:28:58.6066818Z 4f4fb700ef54: Pulling fs layer 2025-12-04T08:28:58.6070453Z 6a9b03ce41a7: Pulling fs layer 2025-12-04T08:28:58.6070923Z 3519ac15be79: Pulling fs layer 2025-12-04T08:28:58.6071272Z dabb51b819a0: Pulling fs layer 2025-12-04T08:28:58.6071486Z 8f36833a24d0: Pulling fs layer 2025-12-04T08:28:58.6071682Z ab53c5a853a5: Pulling fs layer 2025-12-04T08:28:58.6071931Z 025a0e5e6ac1: Pulling fs layer 2025-12-04T08:28:58.6072130Z ce3394c8f210: Pulling fs layer 2025-12-04T08:28:58.6072322Z a5c3888c3a0c: Pulling fs layer 2025-12-04T08:28:58.6072567Z ed902a3a4e3b: Pulling fs layer 2025-12-04T08:28:58.6072770Z b4e1efca22be: Pulling fs layer 2025-12-04T08:28:58.6072961Z 79fcfd297d9f: Pulling fs layer 2025-12-04T08:28:58.6073153Z 7bd89c134b49: Pulling fs layer 2025-12-04T08:28:58.6073336Z b7d40b4fd1b9: Pulling fs layer 2025-12-04T08:28:58.6073532Z dd1cdd87320d: Pulling fs layer 2025-12-04T08:28:58.6073731Z c21a6e1cd03a: Pulling fs layer 2025-12-04T08:28:58.6073917Z 0aa3ea0b2754: Pulling fs layer 2025-12-04T08:28:58.6074105Z 74e0bdbb05d3: Pulling fs layer 2025-12-04T08:28:58.6074299Z ba3aee7dcf03: Pulling fs layer 2025-12-04T08:28:58.6074484Z 8c8d59b8759d: Pulling fs layer 2025-12-04T08:28:58.6074678Z 3c960865867b: Pulling fs layer 2025-12-04T08:28:58.6074870Z 074db79e3832: Pulling fs layer 2025-12-04T08:28:58.6075055Z 226748f4ff23: Pulling fs layer 2025-12-04T08:28:58.6075249Z 75d817336f1d: Pulling fs layer 2025-12-04T08:28:58.6075472Z 850870a17b94: Pulling fs layer 2025-12-04T08:28:58.6075659Z e6225129924f: Pulling fs layer 2025-12-04T08:28:58.6075849Z 5cd6b9ec5c3c: Pulling fs layer 2025-12-04T08:28:58.6076045Z 613d2b1f3db8: Pulling fs layer 2025-12-04T08:28:58.6076239Z 388169fffe8a: Pulling fs layer 2025-12-04T08:28:58.6076425Z 6ca498e78b7b: Pulling fs layer 2025-12-04T08:28:58.6076621Z 952b753ec7be: Pulling fs layer 2025-12-04T08:28:58.6076817Z 5b6f6de4bdd1: Pulling fs layer 2025-12-04T08:28:58.6077241Z fa23d9952f3c: Pulling fs layer 2025-12-04T08:28:58.6077437Z c2aa9ea4d09a: Pulling fs layer 2025-12-04T08:28:58.6077634Z a9bbc9e426d3: Pulling fs layer 2025-12-04T08:28:58.6077822Z 82f2371f6dc2: Pulling fs layer 2025-12-04T08:28:58.6078013Z c87301921afa: Pulling fs layer 2025-12-04T08:28:58.6078205Z 384d566a822f: Pulling fs layer 2025-12-04T08:28:58.6078393Z 32ddcdd5dd69: Pulling fs layer 2025-12-04T08:28:58.6078588Z a116a32ceaa1: Pulling fs layer 2025-12-04T08:28:58.6078786Z f6fbbbe6067e: Pulling fs layer 2025-12-04T08:28:58.6078970Z 648018658875: Pulling fs layer 2025-12-04T08:28:58.6079199Z 5e2f7eac20ad: Pulling fs layer 2025-12-04T08:28:58.6079516Z 0d1243af7593: Pulling fs layer 2025-12-04T08:28:58.6079711Z 1f6d5b941ea1: Pulling fs layer 2025-12-04T08:28:58.6080457Z 4444f70d73ce: Pulling fs layer 2025-12-04T08:28:58.6080653Z bf45550ddbad: Pulling fs layer 2025-12-04T08:28:58.6080849Z 30fff4f4bad3: Pulling fs layer 2025-12-04T08:28:58.6081046Z cca4db1ba155: Pulling fs layer 2025-12-04T08:28:58.6081441Z f0ffa379f4eb: Pulling fs layer 2025-12-04T08:28:58.6081643Z df645e678f95: Pulling fs layer 2025-12-04T08:28:58.6081836Z 52ad6c17d103: Pulling fs layer 2025-12-04T08:28:58.6082020Z 34408374e32c: Pulling fs layer 2025-12-04T08:28:58.6082212Z 27803b661d9e: Pulling fs layer 2025-12-04T08:28:58.6082467Z 07dafc893dea: Pulling fs layer 2025-12-04T08:28:58.6082655Z d1fba7293688: Waiting 2025-12-04T08:28:58.6082838Z aa9a10a37b39: Waiting 2025-12-04T08:28:58.6083014Z 821085416919: Waiting 2025-12-04T08:28:58.6083178Z 55bac08f3e18: Waiting 2025-12-04T08:28:58.6083351Z acf6468f6aad: Waiting 2025-12-04T08:28:58.6083525Z c0c31a0e69b7: Waiting 2025-12-04T08:28:58.6083693Z 4f4fb700ef54: Waiting 2025-12-04T08:28:58.6083864Z 3738646b3d92: Waiting 2025-12-04T08:28:58.6084036Z ab53c5a853a5: Waiting 2025-12-04T08:28:58.6084200Z 0f7d0dc70d2d: Waiting 2025-12-04T08:28:58.6084370Z 79fcfd297d9f: Waiting 2025-12-04T08:28:58.6084539Z 58c4d15d3bc1: Waiting 2025-12-04T08:28:58.6084709Z 6a9b03ce41a7: Waiting 2025-12-04T08:28:58.6084875Z 7bd89c134b49: Waiting 2025-12-04T08:28:58.6085043Z 025a0e5e6ac1: Waiting 2025-12-04T08:28:58.6085213Z 3519ac15be79: Waiting 2025-12-04T08:28:58.6085372Z 2f1cc47b61e1: Waiting 2025-12-04T08:28:58.6085645Z ce3394c8f210: Waiting 2025-12-04T08:28:58.6085816Z d2472a74103d: Waiting 2025-12-04T08:28:58.6086056Z a5c3888c3a0c: Waiting 2025-12-04T08:28:58.6086226Z dd1cdd87320d: Waiting 2025-12-04T08:28:58.6086562Z b4e1efca22be: Waiting 2025-12-04T08:28:58.6086734Z ed902a3a4e3b: Waiting 2025-12-04T08:28:58.6087029Z c21a6e1cd03a: Waiting 2025-12-04T08:28:58.6087204Z 5cd6b9ec5c3c: Waiting 2025-12-04T08:28:58.6087452Z 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32ddcdd5dd69: Waiting 2025-12-04T08:28:58.6863570Z 6dc15eca5138: Verifying Checksum 2025-12-04T08:28:58.6864141Z 6dc15eca5138: Download complete 2025-12-04T08:28:58.7716103Z 821085416919: Verifying Checksum 2025-12-04T08:28:58.7716429Z 821085416919: Download complete 2025-12-04T08:28:58.8547585Z 3738646b3d92: Verifying Checksum 2025-12-04T08:28:58.8547877Z 3738646b3d92: Download complete 2025-12-04T08:28:58.9446577Z 63e5bc7682b8: Download complete 2025-12-04T08:28:58.9564468Z aa9a10a37b39: Verifying Checksum 2025-12-04T08:28:58.9564783Z aa9a10a37b39: Download complete 2025-12-04T08:28:59.0305525Z acf6468f6aad: Verifying Checksum 2025-12-04T08:28:59.0306096Z acf6468f6aad: Download complete 2025-12-04T08:28:59.0323670Z 55bac08f3e18: Download complete 2025-12-04T08:28:59.1196587Z 0f7d0dc70d2d: Verifying Checksum 2025-12-04T08:28:59.1196919Z 0f7d0dc70d2d: Download complete 2025-12-04T08:28:59.1751571Z 58c4d15d3bc1: Verifying Checksum 2025-12-04T08:28:59.1751984Z 58c4d15d3bc1: Download complete 2025-12-04T08:28:59.2677141Z 2f1cc47b61e1: Download complete 2025-12-04T08:28:59.3436272Z d2472a74103d: Verifying Checksum 2025-12-04T08:28:59.3436635Z d2472a74103d: Download complete 2025-12-04T08:29:00.0113748Z 63e5bc7682b8: Pull complete 2025-12-04T08:29:00.0358263Z 6dc15eca5138: Pull complete 2025-12-04T08:29:00.1903804Z c0c31a0e69b7: Verifying Checksum 2025-12-04T08:29:00.1904141Z c0c31a0e69b7: Download complete 2025-12-04T08:29:00.1966653Z 4f4fb700ef54: Verifying Checksum 2025-12-04T08:29:00.1966977Z 4f4fb700ef54: Download complete 2025-12-04T08:29:00.2667264Z 6a9b03ce41a7: Verifying Checksum 2025-12-04T08:29:00.2669636Z 6a9b03ce41a7: Download complete 2025-12-04T08:29:00.3526543Z 3519ac15be79: Verifying Checksum 2025-12-04T08:29:00.3526842Z 3519ac15be79: Download complete 2025-12-04T08:29:00.4430693Z dabb51b819a0: Download complete 2025-12-04T08:29:00.5127064Z 8f36833a24d0: Verifying Checksum 2025-12-04T08:29:00.5127377Z 8f36833a24d0: Download complete 2025-12-04T08:29:00.5985961Z ab53c5a853a5: Verifying Checksum 2025-12-04T08:29:00.5986389Z ab53c5a853a5: Download complete 2025-12-04T08:29:00.6838280Z 025a0e5e6ac1: Verifying Checksum 2025-12-04T08:29:00.6838686Z 025a0e5e6ac1: Download complete 2025-12-04T08:29:00.8018644Z ce3394c8f210: Verifying Checksum 2025-12-04T08:29:00.8021571Z ce3394c8f210: Download complete 2025-12-04T08:29:00.8548079Z a5c3888c3a0c: Verifying Checksum 2025-12-04T08:29:00.8548449Z a5c3888c3a0c: Download complete 2025-12-04T08:29:00.9432290Z ed902a3a4e3b: Verifying Checksum 2025-12-04T08:29:00.9432614Z ed902a3a4e3b: Download complete 2025-12-04T08:29:01.0298618Z b4e1efca22be: Verifying Checksum 2025-12-04T08:29:01.0298933Z b4e1efca22be: Download complete 2025-12-04T08:29:01.0918175Z 79fcfd297d9f: Verifying Checksum 2025-12-04T08:29:01.0918507Z 79fcfd297d9f: Download complete 2025-12-04T08:29:01.1589366Z 7bd89c134b49: Verifying Checksum 2025-12-04T08:29:01.1592044Z 7bd89c134b49: Download complete 2025-12-04T08:29:01.7934013Z 459f4df18f07: Verifying Checksum 2025-12-04T08:29:01.7934306Z 459f4df18f07: Download complete 2025-12-04T08:29:01.8696992Z dd1cdd87320d: Verifying Checksum 2025-12-04T08:29:01.8697353Z dd1cdd87320d: Download complete 2025-12-04T08:29:01.9441094Z c21a6e1cd03a: Verifying Checksum 2025-12-04T08:29:01.9441517Z c21a6e1cd03a: Download complete 2025-12-04T08:29:02.0137240Z 0aa3ea0b2754: Download complete 2025-12-04T08:29:02.0980073Z 74e0bdbb05d3: Download complete 2025-12-04T08:29:02.3629648Z ba3aee7dcf03: Verifying Checksum 2025-12-04T08:29:02.3630294Z ba3aee7dcf03: Download complete 2025-12-04T08:29:02.4601419Z 8c8d59b8759d: Download complete 2025-12-04T08:29:02.5312112Z 3c960865867b: Verifying Checksum 2025-12-04T08:29:02.5312393Z 3c960865867b: Download complete 2025-12-04T08:29:02.6129894Z 074db79e3832: Verifying Checksum 2025-12-04T08:29:02.6130280Z 074db79e3832: Download complete 2025-12-04T08:29:02.6923810Z 226748f4ff23: Verifying Checksum 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2025-12-04T08:29:59.6768336Z 34408374e32c: Download complete 2025-12-04T08:29:59.7547832Z 27803b661d9e: Verifying Checksum 2025-12-04T08:29:59.7548141Z 27803b661d9e: Download complete 2025-12-04T08:30:01.5915918Z 07dafc893dea: Verifying Checksum 2025-12-04T08:30:01.5916255Z 07dafc893dea: Download complete 2025-12-04T08:31:07.4969655Z 6ca498e78b7b: Verifying Checksum 2025-12-04T08:31:07.4970350Z 6ca498e78b7b: Download complete 2025-12-04T08:33:02.5921076Z 850870a17b94: Download complete 2025-12-04T08:34:06.1834360Z d1fba7293688: Pull complete 2025-12-04T08:34:06.3953914Z 4f4fb700ef54: Pull complete 2025-12-04T08:34:06.4552652Z 6a9b03ce41a7: Pull complete 2025-12-04T08:34:06.6078285Z 3519ac15be79: Pull complete 2025-12-04T08:34:06.6750893Z dabb51b819a0: Pull complete 2025-12-04T08:34:06.7878068Z 8f36833a24d0: Pull complete 2025-12-04T08:34:06.8316579Z ab53c5a853a5: Pull complete 2025-12-04T08:34:06.8685656Z 025a0e5e6ac1: Pull complete 2025-12-04T08:34:06.9022738Z ce3394c8f210: Pull 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5e2f7eac20ad: Pull complete 2025-12-04T08:43:22.9998358Z 0d1243af7593: Pull complete 2025-12-04T08:43:23.1120414Z 1f6d5b941ea1: Pull complete 2025-12-04T08:43:23.4398699Z 4444f70d73ce: Pull complete 2025-12-04T08:43:23.4628352Z bf45550ddbad: Pull complete 2025-12-04T08:43:32.5439601Z 30fff4f4bad3: Pull complete 2025-12-04T08:43:32.7657631Z cca4db1ba155: Pull complete 2025-12-04T08:43:32.9632540Z f0ffa379f4eb: Pull complete 2025-12-04T08:43:33.0479196Z df645e678f95: Pull complete 2025-12-04T08:43:33.0974331Z 52ad6c17d103: Pull complete 2025-12-04T08:43:33.1348031Z 34408374e32c: Pull complete 2025-12-04T08:43:33.1964825Z 27803b661d9e: Pull complete 2025-12-04T08:43:35.3164978Z 07dafc893dea: Pull complete 2025-12-04T08:43:35.4424129Z Digest: sha256:b178ee928adfcab963ebbc6ea05ea1a0f0c605bb095e9076f010bf92d150869d 2025-12-04T08:43:35.4671356Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:43:35.4814327Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:43:35.4863643Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:43:35.4864271Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:43:35.4871792Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:35.4872075Z env: 2025-12-04T08:43:35.4872254Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:35.4872442Z ##[endgroup] 2025-12-04T08:43:35.5299934Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T08:43:35.5300273Z with: 2025-12-04T08:43:35.5300454Z driver-version: 580.82.07 2025-12-04T08:43:35.5300643Z env: 2025-12-04T08:43:35.5300814Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:35.5301060Z ##[endgroup] 2025-12-04T08:43:35.5326340Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:43:35.5326933Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:43:35.5332696Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:35.5332957Z env: 2025-12-04T08:43:35.5333127Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:35.5333324Z ##[endgroup] 2025-12-04T08:43:35.5424765Z ##[group]Run set -euo pipefail 2025-12-04T08:43:35.5425029Z set -euo pipefail 2025-12-04T08:43:35.5425265Z  2025-12-04T08:43:35.5425423Z has_gpu=false 2025-12-04T08:43:35.5425622Z devices="" 2025-12-04T08:43:35.5425795Z  2025-12-04T08:43:35.5425997Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T08:43:35.5426314Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:43:35.5426580Z  has_gpu=true 2025-12-04T08:43:35.5426801Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:43:35.5427019Z  fi 2025-12-04T08:43:35.5427180Z fi 2025-12-04T08:43:35.5427337Z  2025-12-04T08:43:35.5427503Z if [ "$has_gpu" = false ]; then 2025-12-04T08:43:35.5427776Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:43:35.5428034Z  has_gpu=true 2025-12-04T08:43:35.5428243Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:43:35.5428455Z  fi 2025-12-04T08:43:35.5428615Z fi 2025-12-04T08:43:35.5428774Z  2025-12-04T08:43:35.5428995Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T08:43:35.5429341Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:43:35.5429621Z  has_gpu=true 2025-12-04T08:43:35.5429823Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:43:35.5430042Z  fi 2025-12-04T08:43:35.5430200Z fi 2025-12-04T08:43:35.5430349Z  2025-12-04T08:43:35.5430575Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T08:43:35.5430939Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T08:43:35.5436314Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:35.5436597Z env: 2025-12-04T08:43:35.5436772Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:35.5436964Z ##[endgroup] 2025-12-04T08:43:35.5985410Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T08:43:35.5985717Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T08:43:35.5986119Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T08:43:35.5986472Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T08:43:35.5986780Z else 2025-12-04T08:43:35.5986980Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T08:43:35.5987215Z fi 2025-12-04T08:43:35.5992583Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:35.5992829Z env: 2025-12-04T08:43:35.5992999Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:35.5993188Z HAS_NVIDIA: false 2025-12-04T08:43:35.5993354Z ##[endgroup] 2025-12-04T08:43:35.6068686Z Prepare all required actions 2025-12-04T08:43:35.6127352Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T08:43:35.6127608Z with: 2025-12-04T08:43:35.6128282Z github-token: *** 2025-12-04T08:43:35.6128460Z env: 2025-12-04T08:43:35.6128620Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:35.6128822Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:35.6129033Z ##[endgroup] 2025-12-04T08:43:35.6160470Z ##[group]Run set -eux 2025-12-04T08:43:35.6160677Z set -eux 2025-12-04T08:43:35.6160993Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T08:43:35.6166485Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:35.6166747Z env: 2025-12-04T08:43:35.6166927Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:35.6167132Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:35.6167516Z GITHUB_TOKEN: *** 2025-12-04T08:43:35.6167690Z ##[endgroup] 2025-12-04T08:43:35.6190192Z + python3 .github/scripts/get_workflow_job_id.py 19921726389 i-0b9d551adbd892c98 2025-12-04T08:43:37.4190915Z Setting output job-id=57113856424 2025-12-04T08:43:37.4191414Z Setting output job-name=inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:43:37.4498844Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T08:43:37.4499372Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T08:43:37.4499956Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T08:43:37.4500473Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:43:37.4506495Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:37.4506729Z env: 2025-12-04T08:43:37.4506890Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:37.4507074Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:37.4507240Z JOB_ID: 57113856424 2025-12-04T08:43:37.4507528Z JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:43:37.4507843Z WORKFLOW_NAME: inductor 2025-12-04T08:43:37.4508064Z WORKFLOW_RUN_ID: 19921726389 2025-12-04T08:43:37.4508244Z MONITOR_LOG_INTERVAL: 5 2025-12-04T08:43:37.4508423Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T08:43:37.4508620Z ##[endgroup] 2025-12-04T08:43:38.7724631Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T08:43:39.0616419Z Collecting psutil==5.9.8 2025-12-04T08:43:39.0788053Z 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) 2025-12-04T08:43:39.1395629Z Collecting dataclasses_json==0.6.7 2025-12-04T08:43:39.1439350Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T08:43:39.1703705Z Collecting nvidia-ml-py==11.525.84 2025-12-04T08:43:39.1746047Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T08:43:39.2637648Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T08:43:39.2677206Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T08:43:39.2890324Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T08:43:39.2928360Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T08:43:39.3377858Z Collecting packaging>=17.0 2025-12-04T08:43:39.3416996Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T08:43:39.3844933Z Collecting typing-extensions>=3.7.4 2025-12-04T08:43:39.3887774Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T08:43:39.4077126Z Collecting mypy-extensions>=0.3.0 2025-12-04T08:43:39.4128908Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T08:43:39.4915679Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T08:43:39.7483457Z 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 2025-12-04T08:43:39.9187447Z Prepare all required actions 2025-12-04T08:43:39.9187797Z Getting action download info 2025-12-04T08:43:40.1110089Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:43:40.3592240Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T08:43:40.6374074Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T08:43:40.6374394Z with: 2025-12-04T08:43:40.6374653Z name: linux-jammy-py3.10-gcc11-build 2025-12-04T08:43:40.6374987Z s3-bucket: gha-artifacts 2025-12-04T08:43:40.6375213Z env: 2025-12-04T08:43:40.6375399Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:40.6375620Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:40.6375826Z ##[endgroup] 2025-12-04T08:43:40.6407161Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T08:43:40.6407464Z with: 2025-12-04T08:43:40.6407687Z name: linux-jammy-py3.10-gcc11-build 2025-12-04T08:43:40.6408006Z s3-bucket: gha-artifacts 2025-12-04T08:43:40.6408240Z region: us-east-1 2025-12-04T08:43:40.6408432Z env: 2025-12-04T08:43:40.6408616Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:40.6408839Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:40.6409057Z ##[endgroup] 2025-12-04T08:43:41.0323341Z (node:45233) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T08:43:41.0323756Z 2025-12-04T08:43:41.0323908Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T08:43:41.0324296Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T08:43:41.0324665Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T08:43:41.2625708Z Found 1 objects with prefix pytorch/pytorch/19921726389/linux-jammy-py3.10-gcc11-build/ 2025-12-04T08:43:41.2626227Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T08:43:45.9686670Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T08:43:45.9692427Z Artifact download has finished successfully 2025-12-04T08:43:46.0467060Z ##[group]Run unzip -o artifacts.zip 2025-12-04T08:43:46.0467330Z unzip -o artifacts.zip 2025-12-04T08:43:46.0473285Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:46.0473533Z env: 2025-12-04T08:43:46.0473683Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:46.0473868Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:46.0474044Z ##[endgroup] 2025-12-04T08:43:46.0737785Z Archive: artifacts.zip 2025-12-04T08:43:46.0738333Z creating: dist/ 2025-12-04T08:43:47.2743428Z inflating: dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T08:43:47.2743815Z creating: dist/vision/ 2025-12-04T08:43:47.2822371Z inflating: dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T08:43:47.2822765Z creating: dist/audio/ 2025-12-04T08:43:47.2849190Z inflating: dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl 2025-12-04T08:43:47.2849660Z creating: dist/ao/ 2025-12-04T08:43:47.2888791Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-12-04T08:43:47.3010143Z inflating: dist/.ninja_log 2025-12-04T08:43:47.3010471Z creating: build/custom_test_artifacts/ 2025-12-04T08:43:47.3010781Z creating: build/custom_test_artifacts/custom-op-build/ 2025-12-04T08:43:47.3011150Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-12-04T08:43:47.3011594Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-12-04T08:43:47.3012236Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-12-04T08:43:47.3012840Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/ 2025-12-04T08:43:47.3013337Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeSystem.cmake 2025-12-04T08:43:47.3014191Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/ 2025-12-04T08:43:47.3014655Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/tmp/ 2025-12-04T08:43:47.3015368Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/CMakeCCompilerId.c 2025-12-04T08:43:47.3018509Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/a.out 2025-12-04T08:43:47.3019057Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeCCompiler.cmake 2025-12-04T08:43:47.3019544Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/ 2025-12-04T08:43:47.3019997Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/tmp/ 2025-12-04T08:43:47.3020665Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/CMakeCXXCompilerId.cpp 2025-12-04T08:43:47.3021262Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/a.out 2025-12-04T08:43:47.3022130Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeCXXCompiler.cmake 2025-12-04T08:43:47.3026507Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeDetermineCompilerABI_C.bin 2025-12-04T08:43:47.3027246Z inflating: 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inflating: build/bin/test_lazy 2025-12-04T08:43:53.3148072Z inflating: build/bin/TCPStoreTest 2025-12-04T08:43:53.3208126Z inflating: build/bin/HashStoreTest 2025-12-04T08:43:53.4317965Z inflating: build/bin/test_jit 2025-12-04T08:43:53.4381919Z inflating: build/bin/test_aoti_inference 2025-12-04T08:43:53.4387816Z inflating: build/bin/example_allreduce 2025-12-04T08:43:53.4456047Z inflating: build/bin/ProcessGroupGlooTest 2025-12-04T08:43:53.4514711Z inflating: build/bin/test_dist_autograd 2025-12-04T08:43:53.4589006Z inflating: build/bin/test_cpp_rpc 2025-12-04T08:43:53.5756113Z inflating: build/bin/test_api 2025-12-04T08:43:53.5756471Z inflating: build/bin/parallel_benchmark 2025-12-04T08:43:53.5757015Z inflating: build/bin/torch_shm_manager 2025-12-04T08:43:53.5757400Z creating: .additional_ci_files/ 2025-12-04T08:43:53.5820428Z inflating: .additional_ci_files/test-times.json 2025-12-04T08:43:53.6059184Z inflating: .additional_ci_files/test-class-times.json 2025-12-04T08:43:53.6094353Z ##[group]Run rm artifacts.zip 2025-12-04T08:43:53.6094594Z rm artifacts.zip 2025-12-04T08:43:53.6099806Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:53.6100095Z env: 2025-12-04T08:43:53.6100258Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:53.6100456Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:53.6100641Z ##[endgroup] 2025-12-04T08:43:53.6357972Z ##[group]Run df -H 2025-12-04T08:43:53.6358181Z df -H 2025-12-04T08:43:53.6363636Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:53.6363918Z env: 2025-12-04T08:43:53.6364092Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:53.6364291Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:53.6364471Z ##[endgroup] 2025-12-04T08:43:53.6419877Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T08:43:53.6420427Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T08:43:53.6420654Z tmpfs 17G 0 17G 0% /dev/shm 2025-12-04T08:43:53.6420886Z tmpfs 6.7G 676k 6.7G 1% /run 2025-12-04T08:43:53.6421107Z /dev/nvme0n1p1 215G 72G 144G 34% / 2025-12-04T08:43:53.6421393Z tmpfs 17G 13k 17G 1% /tmp 2025-12-04T08:43:53.6421698Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T08:43:53.6458482Z Prepare all required actions 2025-12-04T08:43:53.6459411Z Getting action download info 2025-12-04T08:43:53.7927697Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T08:43:53.7928016Z with: 2025-12-04T08:43:53.7928206Z env: 2025-12-04T08:43:53.7928396Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:53.7928630Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:53.7928823Z ##[endgroup] 2025-12-04T08:43:53.7954374Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T08:43:53.7954626Z with: 2025-12-04T08:43:53.7954802Z name: td_results 2025-12-04T08:43:53.7954986Z s3-bucket: gha-artifacts 2025-12-04T08:43:53.7955185Z region: us-east-1 2025-12-04T08:43:53.7955348Z env: 2025-12-04T08:43:53.7955513Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:53.7955828Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:53.7956063Z ##[endgroup] 2025-12-04T08:43:54.1884545Z (node:45253) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T08:43:54.1884971Z 2025-12-04T08:43:54.1885120Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T08:43:54.1885519Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T08:43:54.1885904Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T08:43:54.2768099Z Found 0 objects with prefix pytorch/pytorch/19921726389/td_results/ 2025-12-04T08:43:54.2772787Z Artifact download has finished successfully 2025-12-04T08:43:54.2924209Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T08:43:54.2924513Z mkdir -p .additional_ci_files 2025-12-04T08:43:54.2924819Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T08:43:54.2930927Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:54.2931187Z env: 2025-12-04T08:43:54.2931363Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:54.2931566Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:54.2931749Z ##[endgroup] 2025-12-04T08:43:54.3002419Z mv: cannot stat 'td_results.json': No such file or directory 2025-12-04T08:43:54.3045976Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T08:43:54.3046294Z .github/scripts/parse_ref.py 2025-12-04T08:43:54.3051128Z shell: /usr/bin/bash -e {0} 2025-12-04T08:43:54.3051330Z env: 2025-12-04T08:43:54.3051504Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:54.3051697Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:54.3051886Z ##[endgroup] 2025-12-04T08:43:54.3249454Z Setting output branch=main 2025-12-04T08:43:54.3349434Z Prepare all required actions 2025-12-04T08:43:54.3349810Z Getting action download info 2025-12-04T08:43:54.4759824Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T08:43:54.4760068Z with: 2025-12-04T08:43:54.4760567Z github-token: *** 2025-12-04T08:43:54.4762536Z 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"}]} 2025-12-04T08:43:54.4764571Z job-name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:43:54.4764919Z env: 2025-12-04T08:43:54.4765081Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:54.4765282Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:54.4765468Z ##[endgroup] 2025-12-04T08:43:54.4798788Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:43:54.4799010Z with: 2025-12-04T08:43:54.4799173Z shell: bash 2025-12-04T08:43:54.4799343Z timeout_minutes: 10 2025-12-04T08:43:54.4799514Z max_attempts: 5 2025-12-04T08:43:54.4799693Z retry_wait_seconds: 30 2025-12-04T08:43:54.4800198Z 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 2025-12-04T08:43:54.4800725Z polling_interval_seconds: 1 2025-12-04T08:43:54.4800915Z warning_on_retry: true 2025-12-04T08:43:54.4801316Z continue_on_error: false 2025-12-04T08:43:54.4801518Z env: 2025-12-04T08:43:54.4801672Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:54.4801862Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:54.4802229Z GITHUB_TOKEN: *** 2025-12-04T08:43:54.4802404Z ##[endgroup] 2025-12-04T08:43:54.5774948Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T08:43:54.7675527Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T08:43:54.8559227Z Collecting requests==2.27.1 2025-12-04T08:43:54.8708913Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T08:43:55.0031246Z Collecting pyyaml==6.0.2 2025-12-04T08:43:55.0101385Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T08:43:55.0651266Z Collecting certifi>=2017.4.17 2025-12-04T08:43:55.0691549Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T08:43:55.0745854Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T08:43:55.0749462Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T08:43:55.3557590Z Collecting charset-normalizer~=2.0.0 2025-12-04T08:43:55.3598301Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T08:43:55.4266250Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T08:43:55.5260272Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T08:43:56.5556196Z Command completed after 1 attempt(s). 2025-12-04T08:43:56.5607796Z ##[group]Run set -x 2025-12-04T08:43:56.5608003Z set -x 2025-12-04T08:43:56.5608177Z  2025-12-04T08:43:56.5608443Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T08:43:56.5608952Z # in runner workspace 2025-12-04T08:43:56.5609273Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T08:43:56.5614456Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:56.5614692Z env: 2025-12-04T08:43:56.5614848Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:56.5615019Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:56.5615190Z ##[endgroup] 2025-12-04T08:43:56.5636436Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T08:43:56.5782659Z Setting output branch=main 2025-12-04T08:43:56.5837314Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T08:43:56.5837593Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T08:43:56.5837813Z echo "Job name: ${JOB_NAME}" 2025-12-04T08:43:56.5838006Z  2025-12-04T08:43:56.5838249Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T08:43:56.5838570Z # in runner workspace 2025-12-04T08:43:56.5838978Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T08:43:56.5839294Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T08:43:56.5839518Z  --job-name "${JOB_NAME}" \ 2025-12-04T08:43:56.5841424Z  --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"}]}" \ 2025-12-04T08:43:56.5843640Z  --selected-test-configs "" \ 2025-12-04T08:43:56.5843876Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T08:43:56.5844101Z  --tag "${TAG}" \ 2025-12-04T08:43:56.5844316Z  --event-name "${EVENT_NAME}" \ 2025-12-04T08:43:56.5844541Z  --schedule "${SCHEDULE}" \ 2025-12-04T08:43:56.5844766Z  --branch "${HEAD_BRANCH}" 2025-12-04T08:43:56.5850075Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:56.5850342Z env: 2025-12-04T08:43:56.5850509Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:56.5850710Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:56.5851137Z GITHUB_TOKEN: *** 2025-12-04T08:43:56.5851459Z JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:43:56.5851796Z PR_NUMBER: 2025-12-04T08:43:56.5851970Z TAG: 2025-12-04T08:43:56.5852129Z EVENT_NAME: push 2025-12-04T08:43:56.5852295Z SCHEDULE: 2025-12-04T08:43:56.5852460Z HEAD_BRANCH: main 2025-12-04T08:43:56.5852635Z ##[endgroup] 2025-12-04T08:43:56.5875914Z Workflow: inductor 2025-12-04T08:43:56.5876327Z Job name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:43:56.7855036Z Setting output keep-going=True 2025-12-04T08:43:56.7855545Z Setting output ci-verbose-test-logs=False 2025-12-04T08:43:56.7855967Z Setting output ci-test-showlocals=False 2025-12-04T08:43:56.7856381Z Setting output ci-no-test-timeout=False 2025-12-04T08:43:56.7856742Z Setting output ci-no-td=False 2025-12-04T08:43:56.7857108Z Setting output ci-td-distributed=False 2025-12-04T08:43:56.7857505Z Setting output is-unstable=False 2025-12-04T08:43:56.7857859Z Setting output reenabled-issues= 2025-12-04T08:43:56.7861612Z 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"}]} 2025-12-04T08:43:56.7865060Z Setting output is-test-matrix-empty=False 2025-12-04T08:43:56.7987522Z ##[group]Run echo "Filtered matrix:" 2025-12-04T08:43:56.7987813Z echo "Filtered matrix:" 2025-12-04T08:43:56.7989520Z 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"}]}" 2025-12-04T08:43:56.7991352Z  2025-12-04T08:43:56.7991515Z echo 2025-12-04T08:43:56.7991721Z echo "Is the current job unstable? False" 2025-12-04T08:43:56.7991950Z  2025-12-04T08:43:56.7992102Z echo 2025-12-04T08:43:56.7992294Z echo "Is keep-going label set? True" 2025-12-04T08:43:56.7992518Z  2025-12-04T08:43:56.7992660Z echo 2025-12-04T08:43:56.7992834Z echo "Reenabled issues? " 2025-12-04T08:43:56.7997872Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:56.7998130Z env: 2025-12-04T08:43:56.7998308Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:56.7998514Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:56.7998697Z ##[endgroup] 2025-12-04T08:43:56.8022396Z Filtered matrix: 2025-12-04T08:43:56.8025674Z {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}]} 2025-12-04T08:43:56.8028591Z 2025-12-04T08:43:56.8028731Z Is the current job unstable? False 2025-12-04T08:43:56.8028972Z 2025-12-04T08:43:56.8029113Z Is keep-going label set? True 2025-12-04T08:43:56.8029337Z 2025-12-04T08:43:56.8029460Z Reenabled issues? 2025-12-04T08:43:56.8062620Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T08:43:56.8062987Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T08:43:56.8067729Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:56.8067981Z env: 2025-12-04T08:43:56.8068155Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:56.8068361Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:56.8068534Z JOB_TIMEOUT: 240 2025-12-04T08:43:56.8068708Z ##[endgroup] 2025-12-04T08:43:56.8111352Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:43:56.8111713Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:43:56.8112020Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:43:56.8116529Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:43:56.8116794Z env: 2025-12-04T08:43:56.8116969Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:56.8117170Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:56.8117351Z ##[endgroup] 2025-12-04T08:43:56.8209708Z ##[group]Run set -x 2025-12-04T08:43:56.8209973Z set -x 2025-12-04T08:43:56.8210153Z  2025-12-04T08:43:56.8210356Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T08:43:56.8210637Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T08:43:56.8211030Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T08:43:56.8211286Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T08:43:56.8211498Z else 2025-12-04T08:43:56.8211692Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T08:43:56.8211912Z fi 2025-12-04T08:43:56.8212060Z  2025-12-04T08:43:56.8212258Z # Leaving 1GB for the runner and other things 2025-12-04T08:43:56.8212645Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T08:43:56.8213226Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T08:43:56.8213692Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T08:43:56.8214046Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T08:43:56.8214326Z  2025-12-04T08:43:56.8214522Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T08:43:56.8214773Z  SHM_OPTS= 2025-12-04T08:43:56.8214961Z  JENKINS_USER= 2025-12-04T08:43:56.8215207Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T08:43:56.8215536Z  # if for some reason cleanup action doesn't stop container 2025-12-04T08:43:56.8215806Z  # when job is cancelled 2025-12-04T08:43:56.8216030Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T08:43:56.8216259Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T08:43:56.8216476Z else 2025-12-04T08:43:56.8216664Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T08:43:56.8216900Z  JENKINS_USER="--user jenkins" 2025-12-04T08:43:56.8217123Z  DOCKER_SHELL_CMD= 2025-12-04T08:43:56.8217330Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T08:43:56.8217529Z fi 2025-12-04T08:43:56.8217686Z  2025-12-04T08:43:56.8217924Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T08:43:56.8218283Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T08:43:56.8218675Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T08:43:56.8219029Z # shellcheck disable=SC2086,SC2090 2025-12-04T08:43:56.8219265Z container_name=$(docker run \ 2025-12-04T08:43:56.8219482Z  ${GPU_FLAG:-} \ 2025-12-04T08:43:56.8219713Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T08:43:56.8219956Z  -e BUILD_ENVIRONMENT \ 2025-12-04T08:43:56.8220175Z  -e PR_NUMBER \ 2025-12-04T08:43:56.8220371Z  -e GITHUB_ACTIONS \ 2025-12-04T08:43:56.8220580Z  -e GITHUB_REPOSITORY \ 2025-12-04T08:43:56.8220792Z  -e GITHUB_WORKFLOW \ 2025-12-04T08:43:56.8220991Z  -e GITHUB_JOB \ 2025-12-04T08:43:56.8221186Z  -e GITHUB_RUN_ID \ 2025-12-04T08:43:56.8221393Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T08:43:56.8221595Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T08:43:56.8221803Z  -e JOB_ID \ 2025-12-04T08:43:56.8221991Z  -e JOB_NAME \ 2025-12-04T08:43:56.8222179Z  -e BASE_SHA \ 2025-12-04T08:43:56.8222355Z  -e BRANCH \ 2025-12-04T08:43:56.8222532Z  -e SHA1 \ 2025-12-04T08:43:56.8222718Z  -e AWS_DEFAULT_REGION \ 2025-12-04T08:43:56.8222923Z  -e IN_WHEEL_TEST \ 2025-12-04T08:43:56.8223121Z  -e SHARD_NUMBER \ 2025-12-04T08:43:56.8223318Z  -e TEST_CONFIG \ 2025-12-04T08:43:56.8223508Z  -e NUM_TEST_SHARDS \ 2025-12-04T08:43:56.8223788Z  -e REENABLED_ISSUES \ 2025-12-04T08:43:56.8224043Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T08:43:56.8224257Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T08:43:56.8224465Z  -e TEST_SHOWLOCALS \ 2025-12-04T08:43:56.8224669Z  -e NO_TEST_TIMEOUT \ 2025-12-04T08:43:56.8224913Z  -e NO_TD \ 2025-12-04T08:43:56.8225105Z  -e TD_DISTRIBUTED \ 2025-12-04T08:43:56.8225306Z  -e PR_LABELS \ 2025-12-04T08:43:56.8225515Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T08:43:56.8225746Z  -e SCCACHE_BUCKET \ 2025-12-04T08:43:56.8225948Z  -e SCCACHE_REGION \ 2025-12-04T08:43:56.8226144Z  -e XLA_CUDA \ 2025-12-04T08:43:56.8226539Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T08:43:56.8226803Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T08:43:56.8227058Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T08:43:56.8227312Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T08:43:56.8227550Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T08:43:56.8227781Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T08:43:56.8228019Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T08:43:56.8228237Z  -e DASHBOARD_TAG \ 2025-12-04T08:43:56.8228450Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T08:43:56.8228710Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T08:43:56.8228988Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T08:43:56.8229275Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T08:43:56.8229545Z  --security-opt seccomp=unconfined \ 2025-12-04T08:43:56.8229773Z  --cap-add=SYS_PTRACE \ 2025-12-04T08:43:56.8229980Z  --ipc=host \ 2025-12-04T08:43:56.8230167Z  ${SHM_OPTS} \ 2025-12-04T08:43:56.8230351Z  --tty \ 2025-12-04T08:43:56.8230516Z  --detach \ 2025-12-04T08:43:56.8230713Z  --name="${container_name}" \ 2025-12-04T08:43:56.8230931Z  ${JENKINS_USER} \ 2025-12-04T08:43:56.8231172Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T08:43:56.8231440Z  -w /var/lib/jenkins/workspace \ 2025-12-04T08:43:56.8231659Z  "${USED_IMAGE}" \ 2025-12-04T08:43:56.8231849Z  ${DOCKER_SHELL_CMD} 2025-12-04T08:43:56.8232039Z ) 2025-12-04T08:43:56.8232279Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T08:43:56.8232554Z  2025-12-04T08:43:56.8232740Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T08:43:56.8233134Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T08:43:56.8233478Z fi 2025-12-04T08:43:56.8233626Z  2025-12-04T08:43:56.8233960Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T08:43:56.8238883Z shell: /usr/bin/bash -e {0} 2025-12-04T08:43:56.8239095Z env: 2025-12-04T08:43:56.8239259Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:43:56.8239460Z HAS_NVIDIA_GPU: false 2025-12-04T08:43:56.8239696Z BUILD_ENVIRONMENT: linux-jammy-py3.10-gcc11-build 2025-12-04T08:43:56.8239944Z PR_NUMBER: 2025-12-04T08:43:56.8240125Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T08:43:56.8240351Z GITHUB_WORKFLOW: inductor 2025-12-04T08:43:56.8240535Z GITHUB_JOB: test 2025-12-04T08:43:56.8240716Z GITHUB_RUN_ID: 19921726389 2025-12-04T08:43:56.8240918Z GITHUB_RUN_NUMBER: 168680 2025-12-04T08:43:56.8241345Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T08:43:56.8241617Z JOB_ID: 57113856424 2025-12-04T08:43:56.8241940Z JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:43:56.8242288Z BRANCH: main 2025-12-04T08:43:56.8242484Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:43:56.8242850Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:43:56.8243124Z TEST_CONFIG: dynamic_cpu_inductor_torchbench 2025-12-04T08:43:56.8243353Z SHARD_NUMBER: 1 2025-12-04T08:43:56.8243539Z NUM_TEST_SHARDS: 2 2025-12-04T08:43:56.8243723Z EXTRA_FLAGS: 2025-12-04T08:43:56.8243895Z OP_BENCHMARK_TESTS: 2025-12-04T08:43:56.8244141Z REENABLED_ISSUES: 2025-12-04T08:43:56.8244330Z CONTINUE_THROUGH_ERROR: True 2025-12-04T08:43:56.8244524Z VERBOSE_TEST_LOGS: False 2025-12-04T08:43:56.8244719Z TEST_SHOWLOCALS: False 2025-12-04T08:43:56.8244908Z NO_TEST_TIMEOUT: False 2025-12-04T08:43:56.8245083Z NO_TD: False 2025-12-04T08:43:56.8245250Z TD_DISTRIBUTED: False 2025-12-04T08:43:56.8245475Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T08:43:56.8245724Z SCCACHE_REGION: us-east-1 2025-12-04T08:43:56.8245906Z SHM_SIZE: 1g 2025-12-04T08:43:56.8246453Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:43:56.8247393Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:43:56.8247969Z XLA_CUDA: 2025-12-04T08:43:56.8248227Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:43:56.8248542Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T08:43:56.8248777Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-12-04T08:43:56.8248982Z DASHBOARD_TAG: 2025-12-04T08:43:56.8249356Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T08:43:56.8249651Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T08:43:56.8249938Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T08:43:56.8250294Z ARTIFACTS_FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856424 2025-12-04T08:43:56.8250635Z ##[endgroup] 2025-12-04T08:43:56.8272782Z + [[ dynamic_cpu_inductor_torchbench == \m\u\l\t\i\g\p\u ]] 2025-12-04T08:43:56.8273159Z + [[ linux-jammy-py3.10-gcc11-build == *onnx* ]] 2025-12-04T08:43:56.8273434Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T08:43:56.8275663Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T08:43:56.8349278Z + TOTAL_AVAILABLE_MEMORY_IN_GB='29.809 ' 2025-12-04T08:43:56.8349757Z + TOTAL_MEMORY_WITH_SWAP=32 2025-12-04T08:43:56.8350137Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]] 2025-12-04T08:43:56.8350550Z + SHM_OPTS=--shm-size=1g 2025-12-04T08:43:56.8350890Z + JENKINS_USER='--user jenkins' 2025-12-04T08:43:56.8351625Z + DOCKER_SHELL_CMD= 2025-12-04T08:43:56.8352495Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:43:56.8359403Z +++ nproc --ignore=2 2025-12-04T08:43:56.8380822Z ++ 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 2025-12-04T08:44:12.6809470Z + container_name=c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T08:44:12.6809995Z + echo DOCKER_CONTAINER_ID=c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T08:44:12.6813767Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]] 2025-12-04T08:44:12.6814108Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:12.6816017Z + docker exec -t c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T08:44:13.1817679Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T08:44:13.4104739Z 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) 2025-12-04T08:44:13.4106730Z 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) 2025-12-04T08:44:13.4107620Z 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) 2025-12-04T08:44:13.4111103Z 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) 2025-12-04T08:44:13.4113911Z 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) 2025-12-04T08:44:13.4117052Z 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) 2025-12-04T08:44:13.4130036Z 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) 2025-12-04T08:44:13.4426479Z 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) 2025-12-04T08:44:13.4442423Z 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) 2025-12-04T08:44:13.4488743Z 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) 2025-12-04T08:44:14.2758186Z Installing collected packages: torch 2025-12-04T08:44:22.3448553Z 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. 2025-12-04T08:44:22.3451460Z dall-e 0.1 requires torchvision, which is not installed. 2025-12-04T08:44:22.3451879Z effdet 0.4.1 requires torchvision, which is not installed. 2025-12-04T08:44:22.3455593Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-12-04T08:44:22.3456164Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-12-04T08:44:22.3456679Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-12-04T08:44:22.3457214Z timm 1.0.22 requires torchvision, which is not installed. 2025-12-04T08:44:22.3457569Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T08:44:22.4641302Z + export TERM=vt100 2025-12-04T08:44:22.4641609Z + TERM=vt100 2025-12-04T08:44:22.4641805Z ++ dirname .ci/pytorch/test.sh 2025-12-04T08:44:22.4658298Z + source .ci/pytorch/common.sh 2025-12-04T08:44:22.4670527Z +++ dirname .ci/pytorch/common.sh 2025-12-04T08:44:22.4671305Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T08:44:22.4677678Z +++ declare -f -t trap_add 2025-12-04T08:44:22.4682869Z ++ set -ex -o pipefail 2025-12-04T08:44:22.4683728Z ++ [[ linux-jammy-py3.10-gcc11-build == *rocm* ]] 2025-12-04T08:44:22.4684339Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T08:44:22.4687305Z ++ dirname .ci/pytorch/test.sh 2025-12-04T08:44:22.4694800Z + source .ci/pytorch/common-build.sh 2025-12-04T08:44:22.4698554Z ++ [[ linux-jammy-py3.10-gcc11-build != *win-* ]] 2025-12-04T08:44:22.4705415Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T08:44:22.4712486Z +++ cd .ci/pytorch 2025-12-04T08:44:22.4712725Z +++ pwd -P 2025-12-04T08:44:22.4712951Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T08:44:22.4713275Z ++ [[ linux-jammy-py3.10-gcc11-build == *-pch* ]] 2025-12-04T08:44:22.4713509Z ++ which sccache 2025-12-04T08:44:22.4739249Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T08:44:22.4739701Z ++ sccache --stop-server 2025-12-04T08:44:22.4897224Z ++ true 2025-12-04T08:44:22.4898175Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T08:44:22.4930577Z ++ trap_add sccache_epilogue EXIT 2025-12-04T08:44:22.4931075Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T08:44:22.4931454Z ++ shift 2025-12-04T08:44:22.4931744Z ++ for trap_add_name in "$@" 2025-12-04T08:44:22.4940268Z ++++ trap -p EXIT 2025-12-04T08:44:22.4940570Z +++ eval 'extract_trap_cmd ' 2025-12-04T08:44:22.4940792Z ++++ extract_trap_cmd 2025-12-04T08:44:22.4940980Z ++++ printf '%s\n' '' 2025-12-04T08:44:22.4941167Z +++ printf '%s\n' sccache_epilogue 2025-12-04T08:44:22.4942942Z ++ trap -- ' 2025-12-04T08:44:22.4943375Z sccache_epilogue' EXIT 2025-12-04T08:44:22.4943576Z ++ [[ -n 1 ]] 2025-12-04T08:44:22.4943873Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T08:44:22.4944439Z Skipping sccache server initialization, setting environment variables 2025-12-04T08:44:22.4944800Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:44:22.4945032Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:44:22.4945280Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:44:22.4945578Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:44:22.4950960Z ++ export RUST_LOG=sccache::server=error 2025-12-04T08:44:22.4951222Z ++ RUST_LOG=sccache::server=error 2025-12-04T08:44:22.4951438Z ++ sccache --zero-stats 2025-12-04T08:44:22.6660632Z Statistics zeroed. 2025-12-04T08:44:22.6666128Z ++ which ccache 2025-12-04T08:44:22.6690053Z + [[ linux-jammy-py3.10-gcc11-build != *rocm* ]] 2025-12-04T08:44:22.6690975Z + [[ linux-jammy-py3.10-gcc11-build != *s390x* ]] 2025-12-04T08:44:22.6691337Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T08:44:22.6691643Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T08:44:22.6778933Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T08:44:22.6779259Z + trap_add cleanup_workspace EXIT 2025-12-04T08:44:22.6779526Z + trap_add_cmd=cleanup_workspace 2025-12-04T08:44:22.6779725Z + shift 2025-12-04T08:44:22.6779886Z + for trap_add_name in "$@" 2025-12-04T08:44:22.6784095Z +++ trap -p EXIT 2025-12-04T08:44:22.6786207Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T08:44:22.6786493Z sccache_epilogue'\'' EXIT' 2025-12-04T08:44:22.6786737Z +++ extract_trap_cmd trap -- ' 2025-12-04T08:44:22.6786943Z sccache_epilogue' EXIT 2025-12-04T08:44:22.6787119Z +++ printf '%s\n' ' 2025-12-04T08:44:22.6787291Z sccache_epilogue' 2025-12-04T08:44:22.6787626Z ++ printf '%s\n' cleanup_workspace 2025-12-04T08:44:22.6790497Z + trap -- ' 2025-12-04T08:44:22.6791106Z sccache_epilogue 2025-12-04T08:44:22.6791377Z cleanup_workspace' EXIT 2025-12-04T08:44:22.6791625Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T08:44:23.2070218Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T08:44:23.2254218Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]] 2025-12-04T08:44:23.2254560Z + echo 'Environment variables:' 2025-12-04T08:44:23.2255138Z Environment variables: 2025-12-04T08:44:23.2255324Z + env 2025-12-04T08:44:23.2275438Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:44:23.2275855Z CONTINUE_THROUGH_ERROR=True 2025-12-04T08:44:23.2276094Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build 2025-12-04T08:44:23.2276833Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T08:44:23.2277046Z HOSTNAME=c3af0468611f 2025-12-04T08:44:23.2277449Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_a30c09c2-666d-4b2a-878c-e01f242cb1e4 2025-12-04T08:44:23.2277849Z GITHUB_ACTION=__run_3 2025-12-04T08:44:23.2278047Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T08:44:23.2278271Z GITHUB_RUN_NUMBER=168680 2025-12-04T08:44:23.2278481Z TEST_CONFIG=dynamic_cpu_inductor_torchbench 2025-12-04T08:44:23.2278722Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T08:44:23.2278953Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T08:44:23.2279171Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:44:23.2279454Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T08:44:23.2279675Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-12-04T08:44:23.2279893Z GITHUB_REF_TYPE=branch 2025-12-04T08:44:23.2280104Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:44:23.2280335Z XLA_CUDA= 2025-12-04T08:44:23.2280511Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T08:44:23.2280789Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T08:44:23.2281654Z *** 2025-12-04T08:44:23.2281829Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T08:44:23.2282036Z GITHUB_ACTIONS=true 2025-12-04T08:44:23.2282350Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:44:23.2282633Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:44:23.2282895Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:44:23.2283241Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-12-04T08:44:23.2283649Z UCC_HOME=/usr 2025-12-04T08:44:23.2283814Z VERBOSE_TEST_LOGS=False 2025-12-04T08:44:23.2283999Z GITHUB_REF=refs/heads/main 2025-12-04T08:44:23.2284186Z SHARD_NUMBER=1 2025-12-04T08:44:23.2284356Z GITHUB_REF_PROTECTED=true 2025-12-04T08:44:23.2284537Z HOME=/var/lib/jenkins 2025-12-04T08:44:23.2284743Z GITHUB_API_URL=https://api.github.com 2025-12-04T08:44:23.2284971Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T08:44:23.2285175Z UCX_COMMIT= 2025-12-04T08:44:23.2285320Z USE_SYSTEM_NCCL=1 2025-12-04T08:44:23.2285484Z NUM_TEST_SHARDS=2 2025-12-04T08:44:23.2285641Z UCX_HOME=/usr 2025-12-04T08:44:23.2285999Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_a30c09c2-666d-4b2a-878c-e01f242cb1e4 2025-12-04T08:44:23.2286524Z JOB_NAME=inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:44:23.2287052Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_a30c09c2-666d-4b2a-878c-e01f242cb1e4 2025-12-04T08:44:23.2287549Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T08:44:23.2287874Z GITHUB_EVENT_NAME=push 2025-12-04T08:44:23.2288055Z DASHBOARD_TAG= 2025-12-04T08:44:23.2288223Z GITHUB_RUN_ID=19921726389 2025-12-04T08:44:23.2288399Z INSTALLED_OPENBLAS= 2025-12-04T08:44:23.2288800Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_a30c09c2-666d-4b2a-878c-e01f242cb1e4 2025-12-04T08:44:23.2289243Z GITHUB_ACTOR=pytorchmergebot 2025-12-04T08:44:23.2289428Z PR_NUMBER= 2025-12-04T08:44:23.2289586Z DESIRED_CUDA= 2025-12-04T08:44:23.2289749Z GITHUB_RUN_ATTEMPT=1 2025-12-04T08:44:23.2289929Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T08:44:23.2290159Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T08:44:23.2290392Z TERM=vt100 2025-12-04T08:44:23.2290543Z INSTALLED_VISION=yes 2025-12-04T08:44:23.2290713Z BRANCH=main 2025-12-04T08:44:23.2290876Z SCCACHE_REGION=us-east-1 2025-12-04T08:44:23.2291062Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T08:44:23.2291261Z BUILD_AOT_INDUCTOR_TEST=yes 2025-12-04T08:44:23.2291544Z CUDA_PATH=/usr/local/cuda 2025-12-04T08:44:23.2291905Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T08:44:23.2292292Z GITHUB_SERVER_URL=https://github.com 2025-12-04T08:44:23.2292510Z UCC_COMMIT= 2025-12-04T08:44:23.2292665Z REENABLED_ISSUES= 2025-12-04T08:44:23.2292908Z DOCS=yes 2025-12-04T08:44:23.2293075Z SHLVL=1 2025-12-04T08:44:23.2293222Z MAX_JOBS=6 2025-12-04T08:44:23.2293374Z GITHUB_ACTOR_ID=97764156 2025-12-04T08:44:23.2293618Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:44:23.2293878Z GITHUB_REF_NAME=main 2025-12-04T08:44:23.2294137Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:44:23.2294420Z GITHUB_JOB=test 2025-12-04T08:44:23.2294586Z NO_TEST_TIMEOUT=False 2025-12-04T08:44:23.2294757Z TD_DISTRIBUTED=False 2025-12-04T08:44:23.2294949Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T08:44:23.2295159Z GITHUB_RETENTION_DAYS=90 2025-12-04T08:44:23.2295342Z OPENSSL_DIR=/opt/openssl 2025-12-04T08:44:23.2295531Z GITHUB_ACTION_REPOSITORY= 2025-12-04T08:44:23.2296018Z 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 2025-12-04T08:44:23.2296496Z GITHUB_BASE_REF= 2025-12-04T08:44:23.2296658Z INSTALLED_ACL= 2025-12-04T08:44:23.2296956Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856424 2025-12-04T08:44:23.2297286Z CI=true 2025-12-04T08:44:23.2297443Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T08:44:23.2297697Z RUST_LOG=sccache::server=error 2025-12-04T08:44:23.2297887Z JOB_ID=57113856424 2025-12-04T08:44:23.2298044Z GITHUB_HEAD_REF= 2025-12-04T08:44:23.2298209Z GITHUB_ACTION_REF= 2025-12-04T08:44:23.2298416Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T08:44:23.2298644Z TEST_SHOWLOCALS=False 2025-12-04T08:44:23.2298826Z GITHUB_WORKFLOW=inductor 2025-12-04T08:44:23.2299007Z DEBIAN_FRONTEND=noninteractive 2025-12-04T08:44:23.2299386Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_a30c09c2-666d-4b2a-878c-e01f242cb1e4 2025-12-04T08:44:23.2299745Z NO_TD=False 2025-12-04T08:44:23.2299904Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T08:44:23.2300105Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T08:44:23.2300302Z _=/usr/bin/env 2025-12-04T08:44:23.2300535Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T08:44:23.2541148Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-12-04T08:44:23.2541741Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T08:44:23.2542164Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-12-04T08:44:23.2542583Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-12-04T08:44:23.2542931Z + BUILD_DIR=build 2025-12-04T08:44:23.2543155Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T08:44:23.2543421Z + BUILD_BIN_DIR=build/bin 2025-12-04T08:44:23.2543608Z + SHARD_NUMBER=1 2025-12-04T08:44:23.2543815Z + NUM_TEST_SHARDS=2 2025-12-04T08:44:23.2544048Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:44:23.2544284Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:44:23.2544524Z + export VALGRIND=ON 2025-12-04T08:44:23.2544754Z + VALGRIND=ON 2025-12-04T08:44:23.2544986Z + [[ linux-jammy-py3.10-gcc11-build == *clang9* ]] 2025-12-04T08:44:23.2545296Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]] 2025-12-04T08:44:23.2545579Z + detect_cuda_arch 2025-12-04T08:44:23.2545799Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]] 2025-12-04T08:44:23.2546089Z + [[ linux-jammy-py3.10-gcc11-build == *s390x* ]] 2025-12-04T08:44:23.2546339Z + [[ 0 == \1 ]] 2025-12-04T08:44:23.2546507Z + [[ True == \1 ]] 2025-12-04T08:44:23.2546744Z + [[ linux-jammy-py3.10-gcc11-build != *bazel* ]] 2025-12-04T08:44:23.2547215Z ++ realpath build/custom_test_artifacts 2025-12-04T08:44:23.2571116Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T08:44:23.2571433Z + [[ -n '' ]] 2025-12-04T08:44:23.2571600Z + echo 'Environment variables' 2025-12-04T08:44:23.2571790Z Environment variables 2025-12-04T08:44:23.2571946Z + env 2025-12-04T08:44:23.2591141Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:44:23.2591765Z CONTINUE_THROUGH_ERROR=True 2025-12-04T08:44:23.2592006Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build 2025-12-04T08:44:23.2592495Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T08:44:23.2592706Z HOSTNAME=c3af0468611f 2025-12-04T08:44:23.2593101Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_a30c09c2-666d-4b2a-878c-e01f242cb1e4 2025-12-04T08:44:23.2593494Z GITHUB_ACTION=__run_3 2025-12-04T08:44:23.2593690Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T08:44:23.2593904Z GITHUB_RUN_NUMBER=168680 2025-12-04T08:44:23.2594115Z TEST_CONFIG=dynamic_cpu_inductor_torchbench 2025-12-04T08:44:23.2594364Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T08:44:23.2594602Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T08:44:23.2594829Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:44:23.2595191Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T08:44:23.2595417Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-12-04T08:44:23.2595653Z GITHUB_REF_TYPE=branch 2025-12-04T08:44:23.2595854Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:44:23.2596073Z XLA_CUDA= 2025-12-04T08:44:23.2596241Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T08:44:23.2596690Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T08:44:23.2596958Z *** 2025-12-04T08:44:23.2597122Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T08:44:23.2597321Z GITHUB_ACTIONS=true 2025-12-04T08:44:23.2597529Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:44:23.2597794Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:44:23.2598053Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:44:23.2598406Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-12-04T08:44:23.2598725Z UCC_HOME=/usr 2025-12-04T08:44:23.2598897Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:44:23.2599083Z VERBOSE_TEST_LOGS=False 2025-12-04T08:44:23.2599267Z GITHUB_REF=refs/heads/main 2025-12-04T08:44:23.2599451Z SHARD_NUMBER=1 2025-12-04T08:44:23.2599613Z GITHUB_REF_PROTECTED=true 2025-12-04T08:44:23.2599803Z HOME=/var/lib/jenkins 2025-12-04T08:44:23.2600003Z GITHUB_API_URL=https://api.github.com 2025-12-04T08:44:23.2600227Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T08:44:23.2600424Z UCX_COMMIT= 2025-12-04T08:44:23.2600578Z USE_SYSTEM_NCCL=1 2025-12-04T08:44:23.2600741Z NUM_TEST_SHARDS=2 2025-12-04T08:44:23.2600895Z UCX_HOME=/usr 2025-12-04T08:44:23.2601378Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_a30c09c2-666d-4b2a-878c-e01f242cb1e4 2025-12-04T08:44:23.2601943Z JOB_NAME=inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T08:44:23.2602480Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_a30c09c2-666d-4b2a-878c-e01f242cb1e4 2025-12-04T08:44:23.2602994Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T08:44:23.2603333Z GITHUB_EVENT_NAME=push 2025-12-04T08:44:23.2603719Z DASHBOARD_TAG= 2025-12-04T08:44:23.2603903Z GITHUB_RUN_ID=19921726389 2025-12-04T08:44:23.2604093Z INSTALLED_OPENBLAS= 2025-12-04T08:44:23.2604491Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_a30c09c2-666d-4b2a-878c-e01f242cb1e4 2025-12-04T08:44:23.2604920Z GITHUB_ACTOR=pytorchmergebot 2025-12-04T08:44:23.2605111Z PR_NUMBER= 2025-12-04T08:44:23.2605263Z DESIRED_CUDA= 2025-12-04T08:44:23.2605423Z GITHUB_RUN_ATTEMPT=1 2025-12-04T08:44:23.2605596Z VALGRIND=ON 2025-12-04T08:44:23.2605766Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T08:44:23.2605994Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T08:44:23.2606228Z TERM=vt100 2025-12-04T08:44:23.2606386Z INSTALLED_VISION=yes 2025-12-04T08:44:23.2606667Z BRANCH=main 2025-12-04T08:44:23.2606842Z SCCACHE_REGION=us-east-1 2025-12-04T08:44:23.2607048Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T08:44:23.2607249Z BUILD_AOT_INDUCTOR_TEST=yes 2025-12-04T08:44:23.2607451Z CUDA_PATH=/usr/local/cuda 2025-12-04T08:44:23.2607803Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T08:44:23.2608244Z GITHUB_SERVER_URL=https://github.com 2025-12-04T08:44:23.2608442Z UCC_COMMIT= 2025-12-04T08:44:23.2608594Z REENABLED_ISSUES= 2025-12-04T08:44:23.2608755Z DOCS=yes 2025-12-04T08:44:23.2608893Z SHLVL=1 2025-12-04T08:44:23.2609040Z MAX_JOBS=6 2025-12-04T08:44:23.2609195Z GITHUB_ACTOR_ID=97764156 2025-12-04T08:44:23.2609428Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:44:23.2609684Z GITHUB_REF_NAME=main 2025-12-04T08:44:23.2609952Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:44:23.2610207Z GITHUB_JOB=test 2025-12-04T08:44:23.2610365Z NO_TEST_TIMEOUT=False 2025-12-04T08:44:23.2610531Z TD_DISTRIBUTED=False 2025-12-04T08:44:23.2610711Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T08:44:23.2610921Z GITHUB_RETENTION_DAYS=90 2025-12-04T08:44:23.2611140Z OPENSSL_DIR=/opt/openssl 2025-12-04T08:44:23.2611320Z GITHUB_ACTION_REPOSITORY= 2025-12-04T08:44:23.2611820Z 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 2025-12-04T08:44:23.2612301Z GITHUB_BASE_REF= 2025-12-04T08:44:23.2612467Z INSTALLED_ACL= 2025-12-04T08:44:23.2612761Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856424 2025-12-04T08:44:23.2613093Z CI=true 2025-12-04T08:44:23.2613254Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T08:44:23.2613503Z RUST_LOG=sccache::server=error 2025-12-04T08:44:23.2613697Z JOB_ID=57113856424 2025-12-04T08:44:23.2613855Z GITHUB_HEAD_REF= 2025-12-04T08:44:23.2614007Z GITHUB_ACTION_REF= 2025-12-04T08:44:23.2614219Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T08:44:23.2614459Z TEST_SHOWLOCALS=False 2025-12-04T08:44:23.2614628Z GITHUB_WORKFLOW=inductor 2025-12-04T08:44:23.2614817Z DEBIAN_FRONTEND=noninteractive 2025-12-04T08:44:23.2615215Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_a30c09c2-666d-4b2a-878c-e01f242cb1e4 2025-12-04T08:44:23.2615620Z NO_TD=False 2025-12-04T08:44:23.2615784Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T08:44:23.2615996Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T08:44:23.2616208Z _=/usr/bin/env 2025-12-04T08:44:23.2616370Z + echo 'Testing pytorch' 2025-12-04T08:44:23.2616549Z Testing pytorch 2025-12-04T08:44:23.2616727Z + export LANG=C.UTF-8 2025-12-04T08:44:23.2616896Z + LANG=C.UTF-8 2025-12-04T08:44:23.2653307Z + PR_NUMBER= 2025-12-04T08:44:23.2654337Z + [[ dynamic_cpu_inductor_torchbench == \d\e\f\a\u\l\t ]] 2025-12-04T08:44:23.2654719Z + [[ dynamic_cpu_inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T08:44:23.2655045Z + [[ dynamic_cpu_inductor_torchbench == \s\l\o\w ]] 2025-12-04T08:44:23.2655319Z + [[ linux-jammy-py3.10-gcc11-build == *slow-gradcheck* ]] 2025-12-04T08:44:23.2655592Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]] 2025-12-04T08:44:23.2655836Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]] 2025-12-04T08:44:23.2656084Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]] 2025-12-04T08:44:23.2656326Z + [[ dynamic_cpu_inductor_torchbench == *crossref* ]] 2025-12-04T08:44:23.2656579Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]] 2025-12-04T08:44:23.2656878Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]] 2025-12-04T08:44:23.2657136Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]] 2025-12-04T08:44:23.2657369Z + pip_install ninja==1.10.2 2025-12-04T08:44:23.2657621Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T08:44:23.2657907Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T08:44:23.8331950Z Collecting ninja==1.10.2 2025-12-04T08:44:23.8552141Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T08:44:23.8817407Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T08:44:24.7340326Z Installing collected packages: ninja 2025-12-04T08:44:24.7342817Z Attempting uninstall: ninja 2025-12-04T08:44:24.7351022Z Found existing installation: ninja 1.11.1.4 2025-12-04T08:44:24.7368236Z Uninstalling ninja-1.11.1.4: 2025-12-04T08:44:24.7430337Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T08:44:24.8830419Z Successfully installed ninja-1.10.2 2025-12-04T08:44:24.9991082Z + 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 2025-12-04T08:44:24.9992121Z + 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 2025-12-04T08:44:24.9992785Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]] 2025-12-04T08:44:24.9993085Z + [[ linux-jammy-py3.10-gcc11-build == *asan* ]] 2025-12-04T08:44:24.9993368Z + [[ linux-jammy-py3.10-gcc11-build == *-debug* ]] 2025-12-04T08:44:24.9993647Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]] 2025-12-04T08:44:24.9994057Z + echo 'We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass' 2025-12-04T08:44:24.9994484Z We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass 2025-12-04T08:44:24.9994804Z + cd test 2025-12-04T08:44:24.9995045Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T08:44:25.4802747Z /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. 2025-12-04T08:44:25.4803934Z import pynvml # type: ignore[import] 2025-12-04T08:44:26.5127227Z + [[ dynamic_cpu_inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T08:44:26.5127630Z + [[ dynamic_cpu_inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T08:44:26.5128041Z + [[ dynamic_cpu_inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T08:44:26.5131424Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T08:44:26.5131695Z + [[ dynamic_cpu_inductor_torchbench == *pr_time_benchmarks* ]] 2025-12-04T08:44:26.5132035Z + [[ dynamic_cpu_inductor_torchbench == *dynamo_eager* ]] 2025-12-04T08:44:26.5132309Z + [[ dynamic_cpu_inductor_torchbench == *aot_eager* ]] 2025-12-04T08:44:26.5132584Z + [[ dynamic_cpu_inductor_torchbench == *aot_inductor* ]] 2025-12-04T08:44:26.5132897Z + [[ dynamic_cpu_inductor_torchbench == *max_autotune_inductor* ]] 2025-12-04T08:44:26.5133276Z + [[ dynamic_cpu_inductor_torchbench == *inductor* ]] 2025-12-04T08:44:26.5133678Z + [[ dynamic_cpu_inductor_torchbench != *perf* ]] 2025-12-04T08:44:26.5133952Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-12-04T08:44:26.5134234Z + [[ dynamic_cpu_inductor_torchbench == *dynamic* ]] 2025-12-04T08:44:26.5134553Z + DYNAMO_BENCHMARK_FLAGS+=(--dynamic-shapes --dynamic-batch-only) 2025-12-04T08:44:26.5134858Z + [[ dynamic_cpu_inductor_torchbench == *cpu* ]] 2025-12-04T08:44:26.5135092Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-12-04T08:44:26.5395330Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]] 2025-12-04T08:44:26.5395731Z + [[ linux-jammy-py3.10-gcc11-build == *-bazel-* ]] 2025-12-04T08:44:26.5395995Z + cd test 2025-12-04T08:44:26.5396245Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T08:44:26.8130655Z /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. 2025-12-04T08:44:26.8131852Z import pynvml # type: ignore[import] 2025-12-04T08:44:27.5193132Z PyTorch built with: 2025-12-04T08:44:27.5193423Z - GCC 11.4 2025-12-04T08:44:27.5193617Z - C++ Version: 201703 2025-12-04T08:44:27.5194031Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T08:44:27.5194980Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T08:44:27.5195330Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T08:44:27.5195644Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T08:44:27.5195891Z - NNPACK is enabled 2025-12-04T08:44:27.5196097Z - CPU capability usage: AVX512 2025-12-04T08:44:27.5199206Z - 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, 2025-12-04T08:44:27.5202209Z 2025-12-04T08:44:27.7855424Z + cd test 2025-12-04T08:44:27.7870761Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T08:44:28.0623230Z /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. 2025-12-04T08:44:28.0624243Z import pynvml # type: ignore[import] 2025-12-04T08:44:28.7587417Z ATen/Parallel: 2025-12-04T08:44:28.7587791Z at::get_num_threads() : 4 2025-12-04T08:44:28.7588027Z at::get_num_interop_threads() : 4 2025-12-04T08:44:28.7588248Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T08:44:28.7588483Z omp_get_max_threads() : 4 2025-12-04T08:44:28.7588837Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T08:44:28.7589182Z mkl_get_max_threads() : 4 2025-12-04T08:44:28.7589476Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T08:44:28.7589791Z std::thread::hardware_concurrency() : 8 2025-12-04T08:44:28.7590013Z Environment variables: 2025-12-04T08:44:28.7590199Z OMP_NUM_THREADS : [not set] 2025-12-04T08:44:28.7590393Z MKL_NUM_THREADS : [not set] 2025-12-04T08:44:28.7590602Z ATen parallel backend: OpenMP 2025-12-04T08:44:28.7590728Z 2025-12-04T08:44:29.0105442Z + [[ dynamic_cpu_inductor_torchbench == *numpy_2* ]] 2025-12-04T08:44:29.0105823Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]] 2025-12-04T08:44:29.0106163Z + [[ dynamic_cpu_inductor_torchbench == *backward* ]] 2025-12-04T08:44:29.0106482Z + [[ dynamic_cpu_inductor_torchbench == *libtorch_agnostic_targetting* ]] 2025-12-04T08:44:29.0106806Z + [[ dynamic_cpu_inductor_torchbench == *xla* ]] 2025-12-04T08:44:29.0107047Z + [[ dynamic_cpu_inductor_torchbench == *vllm* ]] 2025-12-04T08:44:29.0107372Z + [[ dynamic_cpu_inductor_torchbench == *executorch* ]] 2025-12-04T08:44:29.0107971Z + [[ dynamic_cpu_inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T08:44:29.0108298Z + [[ dynamic_cpu_inductor_torchbench == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T08:44:29.0108601Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]] 2025-12-04T08:44:29.0108882Z + [[ dynamic_cpu_inductor_torchbench == distributed ]] 2025-12-04T08:44:29.0109296Z + [[ dynamic_cpu_inductor_torchbench == *operator_benchmark* ]] 2025-12-04T08:44:29.0109604Z + [[ dynamic_cpu_inductor_torchbench == *operator_microbenchmark* ]] 2025-12-04T08:44:29.0109949Z + [[ dynamic_cpu_inductor_torchbench == *attention_microbenchmark* ]] 2025-12-04T08:44:29.0110275Z + [[ dynamic_cpu_inductor_torchbench == *inductor_distributed* ]] 2025-12-04T08:44:29.0110569Z + [[ dynamic_cpu_inductor_torchbench == *inductor-halide* ]] 2025-12-04T08:44:29.0110864Z + [[ dynamic_cpu_inductor_torchbench == *inductor-pallas* ]] 2025-12-04T08:44:29.0111173Z + [[ dynamic_cpu_inductor_torchbench == *inductor-triton-cpu* ]] 2025-12-04T08:44:29.0111515Z + [[ dynamic_cpu_inductor_torchbench == *inductor-micro-benchmark* ]] 2025-12-04T08:44:29.0111853Z + [[ dynamic_cpu_inductor_torchbench == *aoti_cross_compile_for_windows* ]] 2025-12-04T08:44:29.0112175Z + [[ dynamic_cpu_inductor_torchbench == *huggingface* ]] 2025-12-04T08:44:29.0112433Z + [[ dynamic_cpu_inductor_torchbench == *timm* ]] 2025-12-04T08:44:29.0112715Z + [[ dynamic_cpu_inductor_torchbench == cachebench ]] 2025-12-04T08:44:29.0112986Z + [[ dynamic_cpu_inductor_torchbench == verify_cachebench ]] 2025-12-04T08:44:29.0113262Z + [[ dynamic_cpu_inductor_torchbench == *torchbench* ]] 2025-12-04T08:44:29.0113497Z + install_torchaudio 2025-12-04T08:44:29.0113669Z + local commit 2025-12-04T08:44:29.0113853Z ++ get_pinned_commit audio 2025-12-04T08:44:29.0114092Z ++ cat .github/ci_commit_pins/audio.txt 2025-12-04T08:44:29.0139445Z + commit=e90a3986cbebd57a5ad08b6813e2c7ff199cdbe0 2025-12-04T08:44:29.0142403Z + pip_build_and_install git+https://github.com/pytorch/audio.git@e90a3986cbebd57a5ad08b6813e2c7ff199cdbe0 dist/audio 2025-12-04T08:44:29.0142977Z + local build_target=git+https://github.com/pytorch/audio.git@e90a3986cbebd57a5ad08b6813e2c7ff199cdbe0 2025-12-04T08:44:29.0143349Z + local wheel_dir=dist/audio 2025-12-04T08:44:29.0143538Z + local found_whl=0 2025-12-04T08:44:29.0147578Z + for file in "${wheel_dir}"/*.whl 2025-12-04T08:44:29.0148010Z + [[ -f dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl ]] 2025-12-04T08:44:29.0151212Z + found_whl=1 2025-12-04T08:44:29.0151798Z + break 2025-12-04T08:44:29.0155051Z + '[' 1 == 0 ']' 2025-12-04T08:44:29.0155295Z + for file in "${wheel_dir}"/*.whl 2025-12-04T08:44:29.0155686Z + pip_install_whl dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:29.0156139Z + args=('dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl') 2025-12-04T08:44:29.0156446Z + local args 2025-12-04T08:44:29.0156728Z + [[ dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T08:44:29.0157071Z + for path in "${args[@]}" 2025-12-04T08:44:29.0157564Z + echo 'Installing dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl' 2025-12-04T08:44:29.0158026Z Installing dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:29.0158546Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:29.3147033Z Processing ./dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:29.3196626Z Installing collected packages: torchaudio 2025-12-04T08:44:29.4813026Z Successfully installed torchaudio-2.10.0a0+e90a398 2025-12-04T08:44:29.5228716Z + install_torchvision 2025-12-04T08:44:29.5229042Z + local orig_preload 2025-12-04T08:44:29.5229222Z + local commit 2025-12-04T08:44:29.5234895Z ++ get_pinned_commit vision 2025-12-04T08:44:29.5235229Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T08:44:29.5276435Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:44:29.5276735Z + orig_preload= 2025-12-04T08:44:29.5277628Z + '[' -n '' ']' 2025-12-04T08:44:29.5277938Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]] 2025-12-04T08:44:29.5278435Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T08:44:29.5278975Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:44:29.5279481Z + local wheel_dir=dist/vision 2025-12-04T08:44:29.5279687Z + local found_whl=0 2025-12-04T08:44:29.5279871Z + for file in "${wheel_dir}"/*.whl 2025-12-04T08:44:29.5280197Z + [[ -f dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl ]] 2025-12-04T08:44:29.5280513Z + found_whl=1 2025-12-04T08:44:29.5280676Z + break 2025-12-04T08:44:29.5280822Z + '[' 1 == 0 ']' 2025-12-04T08:44:29.5281007Z + for file in "${wheel_dir}"/*.whl 2025-12-04T08:44:29.5281539Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:29.5281991Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl') 2025-12-04T08:44:29.5282312Z + local args 2025-12-04T08:44:29.5282597Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T08:44:29.5282966Z + for path in "${args[@]}" 2025-12-04T08:44:29.5283305Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl' 2025-12-04T08:44:29.5283755Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:29.5284306Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:29.8242323Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T08:44:29.8316362Z Installing collected packages: torchvision 2025-12-04T08:44:30.2198637Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T08:44:30.2643622Z + '[' -n '' ']' 2025-12-04T08:44:30.2643919Z + id=0 2025-12-04T08:44:30.2644206Z + pip_install opencv-python==4.8.0.74 2025-12-04T08:44:30.2644516Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T08:44:30.2644875Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-12-04T08:44:30.6617750Z Collecting opencv-python==4.8.0.74 2025-12-04T08:44:30.6828307Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 2025-12-04T08:44:30.6921933Z 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) 2025-12-04T08:44:30.7001003Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB) 2025-12-04T08:44:31.8647750Z Installing collected packages: opencv-python 2025-12-04T08:44:31.8648127Z Attempting uninstall: opencv-python 2025-12-04T08:44:31.8658111Z Found existing installation: opencv-python 4.11.0.86 2025-12-04T08:44:31.8720457Z Uninstalling opencv-python-4.11.0.86: 2025-12-04T08:44:31.9531289Z Successfully uninstalled opencv-python-4.11.0.86 2025-12-04T08:44:32.8242426Z Successfully installed opencv-python-4.8.0.74 2025-12-04T08:44:32.9425578Z + [[ dynamic_cpu_inductor_torchbench == *inductor_torchbench_smoketest_perf* ]] 2025-12-04T08:44:32.9426062Z + [[ dynamic_cpu_inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-12-04T08:44:32.9426483Z + [[ dynamic_cpu_inductor_torchbench == *torchbench_gcp_smoketest* ]] 2025-12-04T08:44:32.9426791Z + [[ dynamic_cpu_inductor_torchbench != *cpu* ]] 2025-12-04T08:44:32.9427031Z + PYTHONPATH=/torchbench 2025-12-04T08:44:32.9427230Z + test_dynamo_benchmark torchbench 0 2025-12-04T08:44:32.9427430Z ++ pwd 2025-12-04T08:44:32.9427635Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-12-04T08:44:32.9427884Z + local suite=torchbench 2025-12-04T08:44:32.9428054Z + shift 2025-12-04T08:44:32.9428191Z + local shard_id=0 2025-12-04T08:44:32.9428347Z + shift 2025-12-04T08:44:32.9428839Z + extra_args=() 2025-12-04T08:44:32.9428998Z + local extra_args 2025-12-04T08:44:32.9429193Z + [[ linux-jammy-py3.10-gcc11-build == *cuda13* ]] 2025-12-04T08:44:32.9429466Z + [[ dynamic_cpu_inductor_torchbench == *perf_compare* ]] 2025-12-04T08:44:32.9429725Z + [[ dynamic_cpu_inductor_torchbench == *perf* ]] 2025-12-04T08:44:32.9430097Z + [[ dynamic_cpu_inductor_torchbench == *cpu* ]] 2025-12-04T08:44:32.9430318Z + local dt=float32 2025-12-04T08:44:32.9430511Z + [[ dynamic_cpu_inductor_torchbench == *amp* ]] 2025-12-04T08:44:32.9430765Z + [[ dynamic_cpu_inductor_torchbench == *freezing* ]] 2025-12-04T08:44:32.9431233Z + test_single_dynamo_benchmark inference torchbench 0 --inference --float32 2025-12-04T08:44:32.9433609Z ++ pwd 2025-12-04T08:44:32.9434378Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-12-04T08:44:32.9434784Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-12-04T08:44:32.9470560Z + local name=inference 2025-12-04T08:44:32.9470966Z + shift 2025-12-04T08:44:32.9471352Z + local suite=torchbench 2025-12-04T08:44:32.9471617Z + shift 2025-12-04T08:44:32.9471791Z + local shard_id=0 2025-12-04T08:44:32.9471961Z + shift 2025-12-04T08:44:32.9472243Z + partition_flags=() 2025-12-04T08:44:32.9472969Z + local partition_flags 2025-12-04T08:44:32.9473370Z + [[ -n 2 ]] 2025-12-04T08:44:32.9473567Z + [[ -n 0 ]] 2025-12-04T08:44:32.9473858Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-12-04T08:44:32.9474234Z + [[ dynamic_cpu_inductor_torchbench == *perf_compare* ]] 2025-12-04T08:44:32.9474505Z + [[ dynamic_cpu_inductor_torchbench == *perf* ]] 2025-12-04T08:44:32.9474759Z + [[ dynamic_cpu_inductor_torchbench == *_avx2* ]] 2025-12-04T08:44:32.9475016Z + [[ dynamic_cpu_inductor_torchbench == *_avx512* ]] 2025-12-04T08:44:32.9475898Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --dynamic-shapes --dynamic-batch-only --device cpu --inference --float32 --total-partitions 2 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv 2025-12-04T08:44:33.2290351Z /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. 2025-12-04T08:44:33.2291278Z import pynvml # type: ignore[import] 2025-12-04T08:44:35.8009693Z /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. 2025-12-04T08:44:35.8010584Z import pynvml # type: ignore[import] 2025-12-04T08:44:38.0486922Z 2025-12-04T08:44:39.8263346Z loading model: 0it [00:00, ?it/s] 2025-12-04T08:44:39.8263709Z loading model: 0it [00:01, ?it/s] 2025-12-04T08:44:39.8287054Z cpu eval BERT_pytorch 2025-12-04T08:44:41.0963804Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:44:41.7050546Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:44:42.3106944Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:45:06.8179124Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8179650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8180081Z return mod(*inputs) 2025-12-04T08:45:06.8180555Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8180975Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8181903Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 44, in forward 2025-12-04T08:45:06.8182343Z mask = (x > 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1) 2025-12-04T08:45:06.8182539Z 2025-12-04T08:45:06.8182663Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8183082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8183584Z return mod(*inputs) 2025-12-04T08:45:06.8183962Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8184368Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8184738Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward 2025-12-04T08:45:06.8185116Z x = self.embedding(x, segment_info) 2025-12-04T08:45:06.8185538Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward 2025-12-04T08:45:06.8186032Z x = self.token(sequence) + self.position(sequence) + self.segment(segment_label) 2025-12-04T08:45:06.8186257Z 2025-12-04T08:45:06.8186378Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8186770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8187123Z return mod(*inputs) 2025-12-04T08:45:06.8187487Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8187879Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8188252Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8188632Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8189020Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8189431Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8189855Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8190308Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8190738Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8191184Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8191649Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8192072Z query, key, value = [ 2025-12-04T08:45:06.8192484Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8192996Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8193188Z 2025-12-04T08:45:06.8193306Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8193716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8194064Z return mod(*inputs) 2025-12-04T08:45:06.8194446Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8194849Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8195213Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8195592Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8195983Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8196400Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8196808Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8197251Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8197745Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8198183Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8198617Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8199077Z query, key, value = [ 2025-12-04T08:45:06.8199477Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8199932Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8200122Z 2025-12-04T08:45:06.8200236Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8200626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8200987Z return mod(*inputs) 2025-12-04T08:45:06.8201836Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8202239Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8202599Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8202963Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8203360Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8203957Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8204367Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8204799Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8205228Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8205662Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8206108Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8206577Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8207032Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8207532Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8207771Z 2025-12-04T08:45:06.8207889Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8208277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8208616Z return mod(*inputs) 2025-12-04T08:45:06.8208977Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8209380Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8209739Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8210105Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8210486Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8210889Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8211286Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8211716Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8212137Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8212556Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8213002Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8213565Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8214025Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8214511Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8214811Z 2025-12-04T08:45:06.8214928Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8215324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8215673Z return mod(*inputs) 2025-12-04T08:45:06.8216034Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8216427Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8216787Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8217148Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8217530Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8217927Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8218327Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8218753Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8219170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8219599Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8220043Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8220503Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8220961Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8221442Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8221664Z 2025-12-04T08:45:06.8221786Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8222169Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8222517Z return mod(*inputs) 2025-12-04T08:45:06.8222875Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8223258Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8223621Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8223984Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8224363Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8224754Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8225158Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8225592Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8226009Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8226429Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8226877Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8227282Z query, key, value = [ 2025-12-04T08:45:06.8227674Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8228138Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8228323Z 2025-12-04T08:45:06.8229023Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8229424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8229768Z return mod(*inputs) 2025-12-04T08:45:06.8230136Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8230584Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8230936Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8231465Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8231848Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8232260Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8232660Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8233097Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8233514Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8233940Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8234374Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8234835Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8235280Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8235704Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8235868Z 2025-12-04T08:45:06.8235982Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8236365Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8236732Z return mod(*inputs) 2025-12-04T08:45:06.8237088Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8237492Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8237848Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8238216Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8238584Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8238980Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8239389Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8239807Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8240225Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8240641Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8241081Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8241618Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8242081Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8242497Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8242652Z 2025-12-04T08:45:06.8242771Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8243157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8243498Z return mod(*inputs) 2025-12-04T08:45:06.8243849Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8244269Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8244626Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8244997Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8245371Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8245807Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8246211Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8246639Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8247045Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8247469Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8247929Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:45:06.8248413Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:45:06.8248620Z 2025-12-04T08:45:06.8248733Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8249125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8249476Z return mod(*inputs) 2025-12-04T08:45:06.8249838Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8250233Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8250589Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8250960Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8251331Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8251740Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8252143Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8252580Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8252997Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8253426Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8253865Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:45:06.8254283Z return self.output_linear(x) 2025-12-04T08:45:06.8254416Z 2025-12-04T08:45:06.8254985Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8255371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8255727Z return mod(*inputs) 2025-12-04T08:45:06.8256082Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8256484Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8256844Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8257210Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8257582Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8257987Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8258391Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8258822Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8259261Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8259762Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8259949Z 2025-12-04T08:45:06.8260067Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8260447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8260830Z return mod(*inputs) 2025-12-04T08:45:06.8261187Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8261576Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8261924Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8262293Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8262674Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8263071Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8263481Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8263904Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8264343Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8264786Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8264973Z 2025-12-04T08:45:06.8265085Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8265469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8265810Z return mod(*inputs) 2025-12-04T08:45:06.8266171Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8266561Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8266921Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8267278Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8267657Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8268068Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8268488Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8268929Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8269380Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8269850Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8270036Z 2025-12-04T08:45:06.8270151Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8270551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8270908Z return mod(*inputs) 2025-12-04T08:45:06.8271285Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8271676Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8272035Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8272407Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8272776Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8273188Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8273589Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8274029Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8274486Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8274911Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8275354Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8275834Z query, key, value = [ 2025-12-04T08:45:06.8276223Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8276688Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8276867Z 2025-12-04T08:45:06.8276987Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8277366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8277718Z return mod(*inputs) 2025-12-04T08:45:06.8278081Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8278484Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8278837Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8279207Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8279580Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8279974Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8280377Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8280803Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8281316Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8281738Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8282181Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8282584Z query, key, value = [ 2025-12-04T08:45:06.8282971Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8283426Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8283613Z 2025-12-04T08:45:06.8283724Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8284107Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8284445Z return mod(*inputs) 2025-12-04T08:45:06.8284809Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8285195Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8285548Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8285910Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8286288Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8286691Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8287085Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8287513Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8287934Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8288340Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8288762Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8289218Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8289707Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8290187Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8290408Z 2025-12-04T08:45:06.8290520Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8290944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8291288Z return mod(*inputs) 2025-12-04T08:45:06.8291639Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8292039Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8292403Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8292763Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8293129Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8293523Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8293926Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8294358Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8294792Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8295208Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8295637Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8296090Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8296545Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8297039Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8297270Z 2025-12-04T08:45:06.8297387Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8297753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8298089Z return mod(*inputs) 2025-12-04T08:45:06.8298440Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8298821Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8299164Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8299515Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8299876Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8300266Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8300654Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8301071Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8301471Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8301880Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8302311Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8302769Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8303200Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8303942Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8304167Z 2025-12-04T08:45:06.8304281Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8304770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8305103Z return mod(*inputs) 2025-12-04T08:45:06.8305459Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8305908Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8306247Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8306600Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8306969Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8307361Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8307752Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8308172Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8308577Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8308980Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8309399Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8309797Z query, key, value = [ 2025-12-04T08:45:06.8310180Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8310616Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8310794Z 2025-12-04T08:45:06.8310903Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8311277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8311612Z return mod(*inputs) 2025-12-04T08:45:06.8311956Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8312336Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8312680Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8313031Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8313401Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8313803Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8314191Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8314606Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8315006Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8315426Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8315843Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8316301Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8316737Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8317146Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8317298Z 2025-12-04T08:45:06.8317411Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8317793Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8318144Z return mod(*inputs) 2025-12-04T08:45:06.8318504Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8318894Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8319297Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8319664Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8320039Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8320492Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8320905Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8321413Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8321837Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8322262Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8322708Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8323196Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8323682Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8324094Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8324247Z 2025-12-04T08:45:06.8324367Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8324740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8325100Z return mod(*inputs) 2025-12-04T08:45:06.8325457Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8325854Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8326200Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8326557Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8326935Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8327328Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8327733Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8328156Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8328563Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8328975Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8329409Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:45:06.8329885Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:45:06.8330084Z 2025-12-04T08:45:06.8330201Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8330573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8330919Z return mod(*inputs) 2025-12-04T08:45:06.8331273Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8331651Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8332000Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8332358Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8332726Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8333119Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8333512Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8333988Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8334384Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8334798Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8335225Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:45:06.8335687Z return self.output_linear(x) 2025-12-04T08:45:06.8335818Z 2025-12-04T08:45:06.8335926Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8336305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8336642Z return mod(*inputs) 2025-12-04T08:45:06.8336984Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8337375Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8337725Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8338080Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8338446Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8338834Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8339230Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8339672Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8340105Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8340563Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8340746Z 2025-12-04T08:45:06.8340866Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8341249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8341601Z return mod(*inputs) 2025-12-04T08:45:06.8341965Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8342357Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8342707Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8343073Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8343448Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8343837Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8344252Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8344670Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8345109Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8345556Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8345743Z 2025-12-04T08:45:06.8345853Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8346241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8346593Z return mod(*inputs) 2025-12-04T08:45:06.8346951Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8347333Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8347678Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8348027Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8348397Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8348844Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8349233Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8349636Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8350059Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8350529Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8350701Z 2025-12-04T08:45:06.8350809Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8351180Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8351517Z return mod(*inputs) 2025-12-04T08:45:06.8351863Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8352243Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8352590Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8352944Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8353305Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8353691Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8354076Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8354500Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8354667Z 2025-12-04T08:45:06.8354773Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8355143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8355477Z return mod(*inputs) 2025-12-04T08:45:06.8355825Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8356197Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8356546Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8356917Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8357282Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8357681Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8358073Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8358498Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8358894Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8359321Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8359763Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8360159Z query, key, value = [ 2025-12-04T08:45:06.8360554Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8361019Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8361282Z 2025-12-04T08:45:06.8361409Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8361798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8362153Z return mod(*inputs) 2025-12-04T08:45:06.8362520Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8362924Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8363338Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8363706Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8364085Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8364479Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8364935Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8365367Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8365786Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8366203Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8366654Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8367064Z query, key, value = [ 2025-12-04T08:45:06.8367455Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8367919Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8368101Z 2025-12-04T08:45:06.8368215Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8368604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8368946Z return mod(*inputs) 2025-12-04T08:45:06.8369309Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8369702Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8370051Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8370423Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8370806Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8371207Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8371605Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8372034Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8372454Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8372891Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8373327Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8373804Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8374265Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8374750Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8374984Z 2025-12-04T08:45:06.8375105Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8375482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8375821Z return mod(*inputs) 2025-12-04T08:45:06.8376165Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8376558Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8376907Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8377263Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8377624Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8378021Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8378459Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8378866Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8379270Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8379719Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8380148Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8380611Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8381076Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8381565Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8381784Z 2025-12-04T08:45:06.8381903Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8382282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8382628Z return mod(*inputs) 2025-12-04T08:45:06.8382985Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8383369Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8383721Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8384086Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8384465Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8384854Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8385255Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8385679Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8386093Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8386495Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8386927Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8387377Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8387806Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8388265Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8388475Z 2025-12-04T08:45:06.8388591Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8388961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8389295Z return mod(*inputs) 2025-12-04T08:45:06.8389647Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8390033Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8390381Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8390746Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8391120Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8391511Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8391904Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8392328Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8392737Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8393215Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8393658Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8394068Z query, key, value = [ 2025-12-04T08:45:06.8394465Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8394963Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8395147Z 2025-12-04T08:45:06.8395259Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8395647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8395995Z return mod(*inputs) 2025-12-04T08:45:06.8396348Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8396743Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8397100Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8397458Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8397839Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8398241Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8398640Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8399070Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8399486Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8399914Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8400349Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8400831Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8401386Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8401826Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8401985Z 2025-12-04T08:45:06.8402098Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8402487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8402838Z return mod(*inputs) 2025-12-04T08:45:06.8403203Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8403768Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8404144Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8404514Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8404898Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8405305Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8405715Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8406149Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8406565Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8406994Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8407445Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8407908Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8408472Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8408888Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8409040Z 2025-12-04T08:45:06.8409159Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8409532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8409945Z return mod(*inputs) 2025-12-04T08:45:06.8410310Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8410702Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8411055Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8411423Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8411804Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8412200Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8412605Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8413034Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8413453Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8413949Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8414399Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:45:06.8414893Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:45:06.8415100Z 2025-12-04T08:45:06.8415212Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8415607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8415968Z return mod(*inputs) 2025-12-04T08:45:06.8416333Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8416729Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8417089Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8417461Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8417830Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8418240Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8418642Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8419090Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8419488Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8419913Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8420345Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:45:06.8420756Z return self.output_linear(x) 2025-12-04T08:45:06.8420888Z 2025-12-04T08:45:06.8421004Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8421392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8421741Z return mod(*inputs) 2025-12-04T08:45:06.8422093Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8422492Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8422840Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8423198Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8423627Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8424020Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8424411Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8424855Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8425275Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8425709Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8425885Z 2025-12-04T08:45:06.8426005Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8426369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8426702Z return mod(*inputs) 2025-12-04T08:45:06.8427051Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8427427Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8427764Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8428117Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8428483Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8428861Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8429245Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8429655Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8430071Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8430492Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8430678Z 2025-12-04T08:45:06.8430788Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8431157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8431486Z return mod(*inputs) 2025-12-04T08:45:06.8431834Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8432219Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8432571Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8432931Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8433307Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8433702Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8434096Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8434536Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8434968Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8435429Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8435612Z 2025-12-04T08:45:06.8435722Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8436105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8436449Z return mod(*inputs) 2025-12-04T08:45:06.8436805Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8437193Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8437547Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8437962Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8438333Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8438742Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8439142Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8439608Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8440022Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8440439Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8440879Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8441360Z query, key, value = [ 2025-12-04T08:45:06.8441765Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8442231Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8442408Z 2025-12-04T08:45:06.8442532Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8442913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8443270Z return mod(*inputs) 2025-12-04T08:45:06.8443639Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8444047Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8444402Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8444769Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8445149Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8445548Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8445954Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8446383Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8446800Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8447217Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8447663Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8448070Z query, key, value = [ 2025-12-04T08:45:06.8448459Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8448918Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8449104Z 2025-12-04T08:45:06.8449221Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8449610Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8449952Z return mod(*inputs) 2025-12-04T08:45:06.8450316Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8450718Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8451085Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8451439Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8451810Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8452196Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8452585Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8453067Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8453473Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8453884Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8454320Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8454851Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8455311Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8455789Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8456026Z 2025-12-04T08:45:06.8456136Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8456513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8456855Z return mod(*inputs) 2025-12-04T08:45:06.8457200Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8457580Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8457957Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8458314Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8458670Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8459066Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8459474Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8459907Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8460317Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8460723Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8461155Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8461623Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8462083Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8462570Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8462788Z 2025-12-04T08:45:06.8462908Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8463286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8463635Z return mod(*inputs) 2025-12-04T08:45:06.8463997Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8464378Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8464737Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8465104Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8465487Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8465891Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8466305Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8466740Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8467160Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8467596Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8468102Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8468579Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8469034Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8469577Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8469818Z 2025-12-04T08:45:06.8469937Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8470333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8470697Z return mod(*inputs) 2025-12-04T08:45:06.8471072Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8471478Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8471840Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8472213Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8472605Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8473022Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8473435Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8473913Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8474332Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8474760Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8475209Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8475624Z query, key, value = [ 2025-12-04T08:45:06.8476042Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8476497Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8476684Z 2025-12-04T08:45:06.8476800Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8477197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8477552Z return mod(*inputs) 2025-12-04T08:45:06.8477914Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8478318Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8478686Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8479053Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8479443Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8479851Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8480264Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8480699Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8481205Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8481654Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8482090Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8482570Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8483028Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8483511Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8483668Z 2025-12-04T08:45:06.8483782Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8484168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8484514Z return mod(*inputs) 2025-12-04T08:45:06.8484916Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8485305Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8485665Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8486027Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8486399Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8486805Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8487210Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8487636Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8488043Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8488465Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8488910Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8489357Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8489791Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8490193Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8490340Z 2025-12-04T08:45:06.8490455Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8490822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8491161Z return mod(*inputs) 2025-12-04T08:45:06.8491507Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8491880Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8492222Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8492576Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8492939Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8493316Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8493706Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8494118Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8494524Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8494923Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8495350Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:45:06.8495812Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:45:06.8496009Z 2025-12-04T08:45:06.8496126Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8496492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8496829Z return mod(*inputs) 2025-12-04T08:45:06.8497177Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8497546Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8497942Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8498297Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8498665Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8499046Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8499497Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8499919Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8500335Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8500735Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8501159Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:45:06.8501554Z return self.output_linear(x) 2025-12-04T08:45:06.8501689Z 2025-12-04T08:45:06.8501797Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8502172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8502505Z return mod(*inputs) 2025-12-04T08:45:06.8502845Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8503231Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8503803Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8504170Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8504533Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8504924Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8505322Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8505730Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8506162Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8506603Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8506785Z 2025-12-04T08:45:06.8506902Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8507268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8507613Z return mod(*inputs) 2025-12-04T08:45:06.8507973Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8508362Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8508706Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8509075Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8509450Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8509846Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8510251Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8510680Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8511114Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8511554Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8511739Z 2025-12-04T08:45:06.8511850Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8512231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8512575Z return mod(*inputs) 2025-12-04T08:45:06.8513047Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8513440Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8513795Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8514212Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8514585Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8514978Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8515377Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8515789Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8516219Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8516671Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8516850Z 2025-12-04T08:45:06.8516959Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8517340Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8517684Z return mod(*inputs) 2025-12-04T08:45:06.8518038Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8518425Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8518775Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8519136Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8519503Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8519903Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8520304Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8520726Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8520897Z 2025-12-04T08:45:06.8521005Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8521459Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8521805Z return mod(*inputs) 2025-12-04T08:45:06.8522165Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8522556Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8522913Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8523279Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8523651Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8524067Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8524476Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8524914Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8525332Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8525762Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8526208Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8526619Z query, key, value = [ 2025-12-04T08:45:06.8527023Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8527487Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8527665Z 2025-12-04T08:45:06.8527836Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8528216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8528580Z return mod(*inputs) 2025-12-04T08:45:06.8528942Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8529372Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8529730Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8530096Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8530473Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8530864Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8531267Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8531694Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8532108Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8532517Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8532966Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8533369Z query, key, value = [ 2025-12-04T08:45:06.8533752Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8534210Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8534395Z 2025-12-04T08:45:06.8534506Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8534891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8535232Z return mod(*inputs) 2025-12-04T08:45:06.8535589Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8535975Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8536319Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8536685Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8537063Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8537459Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8537853Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8538279Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8538700Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8539122Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8539557Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8540028Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8540491Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8540980Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8541211Z 2025-12-04T08:45:06.8541325Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8541712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8542063Z return mod(*inputs) 2025-12-04T08:45:06.8542459Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8542848Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8543206Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8543561Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8543935Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8544379Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8544783Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8545212Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8545629Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8546063Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8546514Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8546958Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8547395Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8547860Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8548080Z 2025-12-04T08:45:06.8548196Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8548563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8548912Z return mod(*inputs) 2025-12-04T08:45:06.8549265Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8549647Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8549995Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8550351Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8550719Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8551119Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8551520Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8551959Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8552379Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8552796Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8553223Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8553682Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8554121Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8554584Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8554805Z 2025-12-04T08:45:06.8554927Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8555303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8555650Z return mod(*inputs) 2025-12-04T08:45:06.8556012Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8556398Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8556740Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8557095Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8557519Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8557915Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8558295Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8558771Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8559179Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8559594Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8560023Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8560421Z query, key, value = [ 2025-12-04T08:45:06.8560805Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8561351Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8561542Z 2025-12-04T08:45:06.8561657Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8562047Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8562397Z return mod(*inputs) 2025-12-04T08:45:06.8562758Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8563145Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8563506Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8563868Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8564254Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8564655Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8565064Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8565487Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8565905Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8566329Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8566764Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8567238Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8567694Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8568121Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8568275Z 2025-12-04T08:45:06.8568388Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8568777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8569128Z return mod(*inputs) 2025-12-04T08:45:06.8569482Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8569874Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8570232Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8570600Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8570980Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8571383Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8571790Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8572219Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8572683Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8573106Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8573551Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8574049Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8574512Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8574935Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8575094Z 2025-12-04T08:45:06.8575216Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8575614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8575962Z return mod(*inputs) 2025-12-04T08:45:06.8576327Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8576709Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8577062Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8577428Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8577799Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8578186Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8578588Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8579026Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8579457Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8579875Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8580316Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:45:06.8580799Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:45:06.8581002Z 2025-12-04T08:45:06.8581117Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8581505Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8581853Z return mod(*inputs) 2025-12-04T08:45:06.8582215Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8582605Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8582963Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8583325Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8583700Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8584099Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8584501Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8584927Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8585333Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8585760Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8586208Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:45:06.8586681Z return self.output_linear(x) 2025-12-04T08:45:06.8586817Z 2025-12-04T08:45:06.8586929Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8587195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8587268Z return mod(*inputs) 2025-12-04T08:45:06.8587510Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8587594Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8587846Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8587931Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8588163Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8588256Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8588502Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8588615Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8588870Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8589004Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8589008Z 2025-12-04T08:45:06.8589118Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8589333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8589403Z return mod(*inputs) 2025-12-04T08:45:06.8589642Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8589728Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8589944Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8590021Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8590265Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8590362Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8590612Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8590724Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8590983Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8591117Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8591121Z 2025-12-04T08:45:06.8591230Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8591446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8591515Z return mod(*inputs) 2025-12-04T08:45:06.8591759Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8591848Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8592068Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8592146Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8592400Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8592495Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8592740Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8592851Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8593098Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8593224Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8593228Z 2025-12-04T08:45:06.8593379Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8593593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8593661Z return mod(*inputs) 2025-12-04T08:45:06.8593904Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8594028Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8594246Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8594325Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8594569Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8594663Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8594914Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8595030Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8595266Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8595392Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8595656Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8595733Z query, key, value = [ 2025-12-04T08:45:06.8596017Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8596135Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8596139Z 2025-12-04T08:45:06.8596258Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8596469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8596538Z return mod(*inputs) 2025-12-04T08:45:06.8596794Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8596869Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8597093Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8597174Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8597411Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8597513Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8597757Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8597871Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8598113Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8598232Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8598498Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8598570Z query, key, value = [ 2025-12-04T08:45:06.8598843Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8598970Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8598974Z 2025-12-04T08:45:06.8599083Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8599299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8599369Z return mod(*inputs) 2025-12-04T08:45:06.8599611Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8599695Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8599974Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8600056Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8600314Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8600448Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8600702Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8600818Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8601053Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8601261Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8601530Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8601676Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8601937Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8602104Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8602111Z 2025-12-04T08:45:06.8602232Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8602441Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8602511Z return mod(*inputs) 2025-12-04T08:45:06.8602765Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8602842Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8603067Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8603145Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8603566Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8603685Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8603928Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8604046Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8604291Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8604407Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8604680Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8604820Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8605081Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8605257Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8605261Z 2025-12-04T08:45:06.8605374Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8605596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8605669Z return mod(*inputs) 2025-12-04T08:45:06.8605916Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8605999Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8606221Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8606300Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8606547Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8606734Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8606988Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8607105Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8607346Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8607525Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8607788Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8607933Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8608183Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8608341Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8608348Z 2025-12-04T08:45:06.8608467Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8608674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8608742Z return mod(*inputs) 2025-12-04T08:45:06.8608991Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8609071Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8609295Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8609374Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8609617Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8609718Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8609972Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8610085Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8610340Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8610455Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8610726Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8610799Z query, key, value = [ 2025-12-04T08:45:06.8611071Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8611199Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8611203Z 2025-12-04T08:45:06.8611311Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8611532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8611602Z return mod(*inputs) 2025-12-04T08:45:06.8611852Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8611936Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8612156Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8612238Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8612490Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8612587Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8612846Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8612958Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8613245Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8613373Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8613635Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8613779Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8614070Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8614164Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8614168Z 2025-12-04T08:45:06.8614283Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8614492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8614563Z return mod(*inputs) 2025-12-04T08:45:06.8614817Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8614894Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8615119Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8615197Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8615433Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8615539Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8615779Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8615889Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8616130Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8616241Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8616511Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8616646Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8616894Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8616998Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8617002Z 2025-12-04T08:45:06.8617110Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8617325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8617396Z return mod(*inputs) 2025-12-04T08:45:06.8617652Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8617736Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8617962Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8618041Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8618285Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8618380Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8618637Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8618750Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8618984Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8619105Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8619364Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:45:06.8619518Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:45:06.8619574Z 2025-12-04T08:45:06.8619688Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8619896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8619973Z return mod(*inputs) 2025-12-04T08:45:06.8620219Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8620338Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8620568Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8620648Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8620895Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8620992Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8621242Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8621365Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8621606Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8621723Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8621999Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:45:06.8622078Z return self.output_linear(x) 2025-12-04T08:45:06.8622082Z 2025-12-04T08:45:06.8622198Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8622410Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8622481Z return mod(*inputs) 2025-12-04T08:45:06.8622735Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8622813Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8623042Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8623122Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8623363Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8623469Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8623717Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8623831Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8624100Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8624223Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8624227Z 2025-12-04T08:45:06.8624347Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8624556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8624626Z return mod(*inputs) 2025-12-04T08:45:06.8624880Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8624958Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8625181Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8625267Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8625503Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8625603Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8625848Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8626017Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8626282Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8626403Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8626407Z 2025-12-04T08:45:06.8626565Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8626775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8626845Z return mod(*inputs) 2025-12-04T08:45:06.8627097Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8627171Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8627390Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8627478Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8627721Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8627826Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8628069Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8628187Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8628453Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8628576Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8628579Z 2025-12-04T08:45:06.8628701Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8628910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8628980Z return mod(*inputs) 2025-12-04T08:45:06.8629237Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8629314Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8629534Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8629622Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8629861Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8629965Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8630218Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8630334Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8630338Z 2025-12-04T08:45:06.8630454Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8630660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8630733Z return mod(*inputs) 2025-12-04T08:45:06.8630991Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8631067Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8631296Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8631379Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8631658Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8631759Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8632008Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8632128Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8632363Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8632520Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8632789Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8632863Z query, key, value = [ 2025-12-04T08:45:06.8633181Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8633308Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8633312Z 2025-12-04T08:45:06.8633422Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8633640Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8633709Z return mod(*inputs) 2025-12-04T08:45:06.8633957Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8634046Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8634266Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8634344Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8634599Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8634692Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8634940Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8635052Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8635281Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8635402Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8635659Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8635738Z query, key, value = [ 2025-12-04T08:45:06.8636009Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8636125Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8636132Z 2025-12-04T08:45:06.8636249Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8636457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8636527Z return mod(*inputs) 2025-12-04T08:45:06.8636781Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8636857Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8637083Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8637161Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8637400Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8637501Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8637751Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8637867Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8638109Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8638223Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8638493Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8638633Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8638940Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8639115Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8639119Z 2025-12-04T08:45:06.8639228Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8639445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8639557Z return mod(*inputs) 2025-12-04T08:45:06.8639799Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8639883Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8640101Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8640179Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8640420Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8640518Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8640765Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8640880Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8641199Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8641338Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8641602Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8641745Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8641997Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8642159Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8642166Z 2025-12-04T08:45:06.8642287Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8642497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8642568Z return mod(*inputs) 2025-12-04T08:45:06.8642822Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8642902Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8643128Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8643207Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8643442Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8643544Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8643788Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8643911Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8644146Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8644260Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8644533Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8644672Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8644923Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8645093Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8645097Z 2025-12-04T08:45:06.8645207Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8645477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8645551Z return mod(*inputs) 2025-12-04T08:45:06.8645793Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8645878Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8646142Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8646230Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8646463Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8646556Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8646807Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8646921Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8647163Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8647285Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8647546Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8647629Z query, key, value = [ 2025-12-04T08:45:06.8647904Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8648021Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8648025Z 2025-12-04T08:45:06.8648145Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8648356Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8648424Z return mod(*inputs) 2025-12-04T08:45:06.8648679Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8648755Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8648981Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8649060Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8649297Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8649400Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8649644Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8649766Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8650003Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8650116Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8650387Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8650526Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8650783Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8650889Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8650893Z 2025-12-04T08:45:06.8651003Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8651221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8651291Z return mod(*inputs) 2025-12-04T08:45:06.8651534Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8651618Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8651884Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8651967Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8652220Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8652315Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8652605Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8652717Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8652952Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8653072Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8653334Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8653480Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8653728Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8653820Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8653824Z 2025-12-04T08:45:06.8653943Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8654154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8654223Z return mod(*inputs) 2025-12-04T08:45:06.8654487Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8654563Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8654788Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8654868Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8655116Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8655216Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8655471Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8655590Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8655830Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8655948Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8656213Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:45:06.8656359Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:45:06.8656362Z 2025-12-04T08:45:06.8656471Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8656688Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8656758Z return mod(*inputs) 2025-12-04T08:45:06.8657014Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8657092Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8657314Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8657401Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8657646Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8657740Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8658000Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8658114Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8658405Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8658522Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8658783Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:45:06.8658911Z return self.output_linear(x) 2025-12-04T08:45:06.8658916Z 2025-12-04T08:45:06.8659027Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8659242Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8659313Z return mod(*inputs) 2025-12-04T08:45:06.8659565Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8659648Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8659870Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8659953Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8660196Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8660289Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8660537Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8660654Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8660906Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8661036Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8661041Z 2025-12-04T08:45:06.8661150Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8661372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8661446Z return mod(*inputs) 2025-12-04T08:45:06.8661690Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8661772Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8661992Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8662073Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8662316Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8662408Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8662657Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8662770Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8663026Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8663159Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8663163Z 2025-12-04T08:45:06.8663272Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8663483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8663575Z return mod(*inputs) 2025-12-04T08:45:06.8663819Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8663904Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8664123Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8664201Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8664444Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8664538Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8664830Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8664945Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8665201Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8665371Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8665375Z 2025-12-04T08:45:06.8665485Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8665697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8665774Z return mod(*inputs) 2025-12-04T08:45:06.8666019Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8666101Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8666325Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8666406Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8666651Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8666744Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8666991Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8667110Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8667345Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8667469Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8667733Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8667807Z query, key, value = [ 2025-12-04T08:45:06.8668099Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8668221Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8668225Z 2025-12-04T08:45:06.8668343Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8668554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8668624Z return mod(*inputs) 2025-12-04T08:45:06.8668876Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8668953Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8669174Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8669260Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8669500Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8669600Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8669843Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8669956Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8670205Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8670318Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8670590Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8670662Z query, key, value = [ 2025-12-04T08:45:06.8670935Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8671102Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8671106Z 2025-12-04T08:45:06.8671216Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8671420Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8671495Z return mod(*inputs) 2025-12-04T08:45:06.8671808Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8671891Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8672109Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8672189Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8672438Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8672532Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8672787Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8672909Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8673153Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8673275Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8673540Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8673677Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8673947Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8674111Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8674115Z 2025-12-04T08:45:06.8674232Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8674446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8674517Z return mod(*inputs) 2025-12-04T08:45:06.8674768Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8674848Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8675066Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8675152Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8675397Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8675497Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8675751Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8675864Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8676114Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8676227Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8676497Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8676636Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8676885Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8677053Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8677056Z 2025-12-04T08:45:06.8677168Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8677379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8677457Z return mod(*inputs) 2025-12-04T08:45:06.8677757Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8677844Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8678063Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8678189Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8678437Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8678531Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8678783Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8678903Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8679148Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8679275Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8679536Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8679673Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8679933Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8680093Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8680097Z 2025-12-04T08:45:06.8680215Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8680425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8680494Z return mod(*inputs) 2025-12-04T08:45:06.8680744Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8680824Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8681046Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8681215Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8681460Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8681569Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8681812Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8681926Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8682170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8682284Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8682556Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8682628Z query, key, value = [ 2025-12-04T08:45:06.8682905Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8683034Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8683041Z 2025-12-04T08:45:06.8683155Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8683364Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8683444Z return mod(*inputs) 2025-12-04T08:45:06.8683686Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8683770Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8683989Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8684113Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8684362Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8684455Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8684698Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8684857Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8685091Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8685213Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8685478Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8685617Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8685881Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8685979Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8685983Z 2025-12-04T08:45:06.8686102Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8686316Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8686394Z return mod(*inputs) 2025-12-04T08:45:06.8686647Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8686728Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8686949Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8687040Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8687278Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8687384Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8687632Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8687749Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8687996Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8688118Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8688391Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8688530Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8688787Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8688890Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8688894Z 2025-12-04T08:45:06.8689013Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8689226Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8689310Z return mod(*inputs) 2025-12-04T08:45:06.8689558Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8689648Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8689870Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8689953Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8690198Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8690296Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8690542Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8690709Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8690946Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8691069Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8691366Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:45:06.8691509Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:45:06.8691513Z 2025-12-04T08:45:06.8691630Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8691839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8691918Z return mod(*inputs) 2025-12-04T08:45:06.8692160Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8692240Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8692464Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8692543Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8692789Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8692892Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8693144Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8693265Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8693508Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8693622Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8693892Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:45:06.8693972Z return self.output_linear(x) 2025-12-04T08:45:06.8693976Z 2025-12-04T08:45:06.8694099Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8694305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8694377Z return mod(*inputs) 2025-12-04T08:45:06.8694633Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8694708Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8694927Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8695013Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8695257Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8695357Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8695612Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8695724Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8695987Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8696114Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8696118Z 2025-12-04T08:45:06.8696236Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8696443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8696511Z return mod(*inputs) 2025-12-04T08:45:06.8696765Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8696840Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8697109Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8697198Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8697443Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8697545Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8697845Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8697959Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8698220Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8698342Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8698346Z 2025-12-04T08:45:06.8698456Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8698673Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8698742Z return mod(*inputs) 2025-12-04T08:45:06.8699000Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8699077Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8699299Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8699386Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8699628Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8699723Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8699986Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8700100Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8700366Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8700490Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8700495Z 2025-12-04T08:45:06.8700604Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8700821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8700892Z return mod(*inputs) 2025-12-04T08:45:06.8701151Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8701226Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8701444Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8701531Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8701773Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8701871Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8702122Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8702236Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8702242Z 2025-12-04T08:45:06.8702358Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8702566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8702633Z return mod(*inputs) 2025-12-04T08:45:06.8702884Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8702960Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8703186Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8703264Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8703791Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8703902Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8704148Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8704325Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8704567Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8704685Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8704955Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8705030Z query, key, value = [ 2025-12-04T08:45:06.8705308Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8705440Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8705444Z 2025-12-04T08:45:06.8705555Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8705773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8705846Z return mod(*inputs) 2025-12-04T08:45:06.8706088Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8706174Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8706392Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8706471Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8706714Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8706806Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8707060Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8707172Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8707408Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8707533Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8707794Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8707867Z query, key, value = [ 2025-12-04T08:45:06.8708156Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8708267Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8708271Z 2025-12-04T08:45:06.8708389Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8708593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8708662Z return mod(*inputs) 2025-12-04T08:45:06.8708909Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8708987Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8709202Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8709287Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8709514Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8709615Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8709848Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8709958Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8710236Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8710349Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8710613Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8710787Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8711031Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8711195Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8711199Z 2025-12-04T08:45:06.8711306Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8711513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8711581Z return mod(*inputs) 2025-12-04T08:45:06.8711819Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8711902Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8712115Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8712193Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8712429Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8712521Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8712765Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8712876Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8713103Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8713225Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8713478Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8713611Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8713865Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8714020Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8714023Z 2025-12-04T08:45:06.8714135Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8714335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8714402Z return mod(*inputs) 2025-12-04T08:45:06.8714648Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8714724Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8714944Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8715020Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8715251Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8715351Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8715585Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8715695Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8715929Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8716040Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8716337Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8716473Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8716715Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8716875Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8716916Z 2025-12-04T08:45:06.8717025Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8717234Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8717301Z return mod(*inputs) 2025-12-04T08:45:06.8717536Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8717619Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8717841Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8717922Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8718168Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8718260Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8718514Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8718625Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8718862Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8718984Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8719247Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8719320Z query, key, value = [ 2025-12-04T08:45:06.8719603Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8719719Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8719723Z 2025-12-04T08:45:06.8719838Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8720046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8720117Z return mod(*inputs) 2025-12-04T08:45:06.8720367Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8720441Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8720668Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8720744Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8720979Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8721085Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8721402Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8721520Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8721767Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8721879Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8722148Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8722285Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8722536Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8722640Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8722719Z 2025-12-04T08:45:06.8722832Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8723050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8723122Z return mod(*inputs) 2025-12-04T08:45:06.8723367Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8723493Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8723716Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8723796Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8724043Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8724138Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8724395Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8724510Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8724751Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8724874Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8725143Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8725278Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8725541Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8725632Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8725636Z 2025-12-04T08:45:06.8725753Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8725966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8726036Z return mod(*inputs) 2025-12-04T08:45:06.8726287Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8726363Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8726606Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8726687Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8726923Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8727022Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8727268Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8727381Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8727631Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8727747Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8728018Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:45:06.8728163Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:45:06.8728170Z 2025-12-04T08:45:06.8728281Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8728502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8728572Z return mod(*inputs) 2025-12-04T08:45:06.8728823Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8728899Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8729120Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8729246Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8729482Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8729574Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8729826Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8729982Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8730228Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8730343Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8730609Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:45:06.8730699Z return self.output_linear(x) 2025-12-04T08:45:06.8730703Z 2025-12-04T08:45:06.8730819Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8731034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8731110Z return mod(*inputs) 2025-12-04T08:45:06.8731356Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8731441Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8731662Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8731740Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8731988Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8732082Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8732337Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8732453Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8732710Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8732841Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8732848Z 2025-12-04T08:45:06.8732957Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8733168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8733244Z return mod(*inputs) 2025-12-04T08:45:06.8733486Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8733569Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8733790Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8733867Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8734113Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8734207Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8734452Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8734576Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8734834Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8734966Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8734970Z 2025-12-04T08:45:06.8735079Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8735289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8735364Z return mod(*inputs) 2025-12-04T08:45:06.8735653Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8735738Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8735956Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8736033Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8736315Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8736406Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8736649Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8736769Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8737022Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8737152Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8737159Z 2025-12-04T08:45:06.8737268Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8737479Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8737557Z return mod(*inputs) 2025-12-04T08:45:06.8737808Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8737895Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8738113Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8738202Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8738438Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8738532Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8738774Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8738891Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8739121Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8739241Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8739500Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8739572Z query, key, value = [ 2025-12-04T08:45:06.8739845Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8739958Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8739961Z 2025-12-04T08:45:06.8740064Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8740277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8740344Z return mod(*inputs) 2025-12-04T08:45:06.8740590Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8740666Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8740883Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8740971Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8741206Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8741308Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8741557Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8741669Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8742016Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8742130Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8742382Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8742460Z query, key, value = [ 2025-12-04T08:45:06.8742771Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8742888Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8742892Z 2025-12-04T08:45:06.8742996Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8743201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8743277Z return mod(*inputs) 2025-12-04T08:45:06.8743513Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8743592Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8743813Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8743889Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8744124Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8744220Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8744455Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8744578Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8744813Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8744936Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8745201Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8745341Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8745603Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8745766Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8745770Z 2025-12-04T08:45:06.8745876Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8746090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8746156Z return mod(*inputs) 2025-12-04T08:45:06.8746398Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8746474Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8746692Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8746778Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8747008Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8747108Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8747347Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8747455Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8747688Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8747799Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8748055Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8748235Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8748491Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8748658Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8748662Z 2025-12-04T08:45:06.8748805Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8749012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8749087Z return mod(*inputs) 2025-12-04T08:45:06.8749327Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8749408Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8749626Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8749706Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8749949Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8750041Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8750282Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8750405Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8750641Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8750762Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8751022Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8751158Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8751414Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8751577Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8751581Z 2025-12-04T08:45:06.8751697Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8751908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8751980Z return mod(*inputs) 2025-12-04T08:45:06.8752228Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8752304Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8752520Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8752607Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8752842Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8752942Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8753187Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8753301Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8753543Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8753661Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8753920Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8754001Z query, key, value = [ 2025-12-04T08:45:06.8754276Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8754399Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8754403Z 2025-12-04T08:45:06.8754514Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8754760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8754844Z return mod(*inputs) 2025-12-04T08:45:06.8755101Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8755219Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8755441Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8755519Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8755771Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8755866Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8756127Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8756250Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8756490Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8756613Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8756878Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8757017Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8757277Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8757372Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8757376Z 2025-12-04T08:45:06.8757493Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8757704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8757776Z return mod(*inputs) 2025-12-04T08:45:06.8758037Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8758113Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8758336Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8758425Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8758674Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8758776Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8759022Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8759133Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8759386Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8759505Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8759767Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8759911Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8760165Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8760267Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8760271Z 2025-12-04T08:45:06.8760382Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8760594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8760671Z return mod(*inputs) 2025-12-04T08:45:06.8760927Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8761013Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8761608Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8761694Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8761941Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8762075Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8762318Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8762439Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8762676Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8762799Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8763060Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:45:06.8763210Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:45:06.8763214Z 2025-12-04T08:45:06.8763331Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8763540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8763620Z return mod(*inputs) 2025-12-04T08:45:06.8763866Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8763943Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8764170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8764248Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8764485Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8764586Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8764831Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8764949Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8765183Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8765298Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8765566Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:45:06.8765644Z return self.output_linear(x) 2025-12-04T08:45:06.8765649Z 2025-12-04T08:45:06.8765755Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8765970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8766037Z return mod(*inputs) 2025-12-04T08:45:06.8766289Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8766365Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8766584Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8766669Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8766907Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8767001Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8767251Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8767362Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8767625Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8767749Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8767790Z 2025-12-04T08:45:06.8767901Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8768119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8768188Z return mod(*inputs) 2025-12-04T08:45:06.8768480Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8768554Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8768769Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8768853Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8769089Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8769182Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8769433Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8769543Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8769803Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8769925Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8769932Z 2025-12-04T08:45:06.8770040Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8770255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8770324Z return mod(*inputs) 2025-12-04T08:45:06.8770575Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8770651Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8770870Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8770961Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8771197Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8771289Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8771537Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8771651Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8771910Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8772030Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8772033Z 2025-12-04T08:45:06.8772140Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8772356Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8772425Z return mod(*inputs) 2025-12-04T08:45:06.8772669Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8772753Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8772970Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8773058Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8773291Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8773382Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8773631Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8773742Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8773746Z 2025-12-04T08:45:06.8773860Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8774102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8774176Z return mod(*inputs) 2025-12-04T08:45:06.8774433Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8774509Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8774760Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8774848Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8775091Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8775192Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8775494Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8775608Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8775860Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8775976Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8776238Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8776321Z query, key, value = [ 2025-12-04T08:45:06.8776595Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8776721Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8776724Z 2025-12-04T08:45:06.8776833Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8777044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8777120Z return mod(*inputs) 2025-12-04T08:45:06.8777367Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8777450Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8777667Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8777744Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8777989Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8778081Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8778332Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8778454Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8778697Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8778820Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8779093Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8779164Z query, key, value = [ 2025-12-04T08:45:06.8779444Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8779564Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8779568Z 2025-12-04T08:45:06.8779685Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8779896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8779965Z return mod(*inputs) 2025-12-04T08:45:06.8780216Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8780291Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8780544Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8780633Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8780879Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8780978Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8781258Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8781370Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8781618Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8781733Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8782002Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8782147Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8782411Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8782581Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8782585Z 2025-12-04T08:45:06.8782699Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8782907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8782982Z return mod(*inputs) 2025-12-04T08:45:06.8783234Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8783318Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8783537Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8783616Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8783864Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8783958Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8784210Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8784332Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8784566Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8784688Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8784950Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8785086Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8785345Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8785507Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8785511Z 2025-12-04T08:45:06.8785629Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8785839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8785913Z return mod(*inputs) 2025-12-04T08:45:06.8786161Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8786237Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8786455Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8786543Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8786778Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8786876Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8787157Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8787272Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8787517Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8787667Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8787935Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8788070Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8788324Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8788493Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8788497Z 2025-12-04T08:45:06.8788611Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8788825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8788904Z return mod(*inputs) 2025-12-04T08:45:06.8789152Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8789252Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8789476Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8789555Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8789803Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8789896Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8790145Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8790270Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8790512Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8790633Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8790908Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8790981Z query, key, value = [ 2025-12-04T08:45:06.8791269Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8791386Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8791389Z 2025-12-04T08:45:06.8791504Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8791720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8791793Z return mod(*inputs) 2025-12-04T08:45:06.8792051Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8792126Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8792351Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8792441Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8792683Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8792785Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8793039Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8793154Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8793402Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8793565Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8793838Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8793970Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8794256Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8794358Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8794362Z 2025-12-04T08:45:06.8794471Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8794679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8794754Z return mod(*inputs) 2025-12-04T08:45:06.8794993Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8795080Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8795299Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8795375Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8795623Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8795720Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8795971Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8796091Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8796337Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8796459Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8796729Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8796863Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8797129Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8797223Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8797229Z 2025-12-04T08:45:06.8797345Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8797554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8797624Z return mod(*inputs) 2025-12-04T08:45:06.8797879Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8797954Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8798172Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8798263Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8798501Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8798602Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8798843Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8798958Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8799203Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8799321Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8799598Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:45:06.8799745Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:45:06.8799749Z 2025-12-04T08:45:06.8799894Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8800115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8800184Z return mod(*inputs) 2025-12-04T08:45:06.8800437Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8800556Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8800774Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8800861Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8801186Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8801292Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8801543Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8801663Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8801903Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8802029Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8802301Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:45:06.8802395Z return self.output_linear(x) 2025-12-04T08:45:06.8802399Z 2025-12-04T08:45:06.8802508Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8802720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8802799Z return mod(*inputs) 2025-12-04T08:45:06.8803057Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8803143Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8803366Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8803698Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8803952Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8804053Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8804295Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8804416Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8804675Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8804808Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8804812Z 2025-12-04T08:45:06.8804924Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8805141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8805222Z return mod(*inputs) 2025-12-04T08:45:06.8805468Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8805545Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8805776Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8805855Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8806102Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8806197Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8806442Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8806566Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8806917Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8807050Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8807054Z 2025-12-04T08:45:06.8807165Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8807435Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8807519Z return mod(*inputs) 2025-12-04T08:45:06.8807761Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8807837Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8808066Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8808145Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8808391Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8808486Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8808729Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8808850Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8809106Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8809237Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8809241Z 2025-12-04T08:45:06.8809351Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8809558Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8809635Z return mod(*inputs) 2025-12-04T08:45:06.8809876Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8809955Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8810181Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8810260Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8810505Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8810600Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8810840Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8810959Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8811193Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8811307Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8811579Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8811652Z query, key, value = [ 2025-12-04T08:45:06.8811932Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8812050Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8812056Z 2025-12-04T08:45:06.8812164Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8812381Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8812451Z return mod(*inputs) 2025-12-04T08:45:06.8812699Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8812773Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8812994Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8813117Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8813355Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8813446Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8813693Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8813869Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8814110Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8814225Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8814484Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8814563Z query, key, value = [ 2025-12-04T08:45:06.8814846Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8814962Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8814974Z 2025-12-04T08:45:06.8815085Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8815295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8815375Z return mod(*inputs) 2025-12-04T08:45:06.8815618Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8815691Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8815916Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8815994Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8816238Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8816334Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8816578Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8816700Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8816936Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8817056Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8817327Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8817468Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8817726Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8817889Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8817893Z 2025-12-04T08:45:06.8818005Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8818224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8818296Z return mod(*inputs) 2025-12-04T08:45:06.8818550Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8818629Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8818850Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8818936Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8819172Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8819266Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8819518Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8819679Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8819926Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8820041Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8820336Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8820480Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8820732Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8820902Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8820906Z 2025-12-04T08:45:06.8821019Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8821235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8821318Z return mod(*inputs) 2025-12-04T08:45:06.8821561Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8821640Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8821874Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8821955Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8822201Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8822297Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8822545Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8822667Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8822909Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8823028Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8823297Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8823437Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8823696Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-12-04T08:45:06.8823860Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-12-04T08:45:06.8823863Z 2025-12-04T08:45:06.8823975Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8824197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8824270Z return mod(*inputs) 2025-12-04T08:45:06.8824527Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8824607Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8824826Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8824915Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8825157Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8825255Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8825505Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8825620Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8825864Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8825982Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8826290Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-12-04T08:45:06.8826374Z query, key, value = [ 2025-12-04T08:45:06.8826649Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-12-04T08:45:06.8826809Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-12-04T08:45:06.8826813Z 2025-12-04T08:45:06.8826924Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8827135Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8827212Z return mod(*inputs) 2025-12-04T08:45:06.8827458Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8827534Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8827766Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8827846Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8828091Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8828186Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8828433Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8828551Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8828788Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8828901Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8829171Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8829310Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8829570Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8829664Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8829668Z 2025-12-04T08:45:06.8829779Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8830005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8830074Z return mod(*inputs) 2025-12-04T08:45:06.8830326Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8830402Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8830621Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8830707Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8830949Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8831041Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8831294Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8831406Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8831655Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8831769Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8832035Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-12-04T08:45:06.8832177Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-12-04T08:45:06.8832429Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-12-04T08:45:06.8832567Z return torch.matmul(p_attn, value), p_attn 2025-12-04T08:45:06.8832571Z 2025-12-04T08:45:06.8832681Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8832892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8833008Z return mod(*inputs) 2025-12-04T08:45:06.8833252Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8833328Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8833554Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8833633Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8833877Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8833972Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8834217Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8834338Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8834571Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8834692Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8834960Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-12-04T08:45:06.8835104Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-12-04T08:45:06.8835108Z 2025-12-04T08:45:06.8835223Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8835432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8835502Z return mod(*inputs) 2025-12-04T08:45:06.8835756Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8835833Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8836058Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8836138Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8836375Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-12-04T08:45:06.8836475Z x = self.input_sublayer(x, self.lambda_module) 2025-12-04T08:45:06.8836727Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8836841Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8837090Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-12-04T08:45:06.8837204Z return self.attention.forward(x, x, x, mask=self.mask) 2025-12-04T08:45:06.8837479Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-12-04T08:45:06.8837560Z return self.output_linear(x) 2025-12-04T08:45:06.8837564Z 2025-12-04T08:45:06.8837673Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8837893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8837962Z return mod(*inputs) 2025-12-04T08:45:06.8838219Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8838294Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8838512Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8838597Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8838881Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8838976Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8839238Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8839352Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8839697Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8839821Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8839825Z 2025-12-04T08:45:06.8839935Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8840155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8840224Z return mod(*inputs) 2025-12-04T08:45:06.8840473Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8840558Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8840774Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8840859Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8841175Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8841283Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8841533Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8841644Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8841910Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8842034Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8842038Z 2025-12-04T08:45:06.8842150Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8842370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8842439Z return mod(*inputs) 2025-12-04T08:45:06.8842689Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8842777Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8842994Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8843080Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8843325Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8843419Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8843674Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8843789Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8844044Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-12-04T08:45:06.8844177Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-12-04T08:45:06.8844181Z 2025-12-04T08:45:06.8844294Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8844511Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8844580Z return mod(*inputs) 2025-12-04T08:45:06.8844829Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-12-04T08:45:06.8844912Z x = self.bert(x, segment_label) 2025-12-04T08:45:06.8845131Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-12-04T08:45:06.8845223Z x = transformer.forward(x, mask) 2025-12-04T08:45:06.8845515Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-12-04T08:45:06.8845612Z x = self.output_sublayer(x, self.feed_forward) 2025-12-04T08:45:06.8845856Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-12-04T08:45:06.8845996Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-12-04T08:45:06.8846000Z 2025-12-04T08:45:06.8846105Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8846313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8846380Z return mod(*inputs) 2025-12-04T08:45:06.8846627Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-12-04T08:45:06.8846722Z return self.next_sentence(x), self.mask_lm(x) 2025-12-04T08:45:06.8846959Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward 2025-12-04T08:45:06.8847055Z return self.softmax(self.linear(x[:, 0])) 2025-12-04T08:45:06.8847059Z 2025-12-04T08:45:06.8847163Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:06.8847370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:06.8847440Z return mod(*inputs) 2025-12-04T08:45:06.8847677Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-12-04T08:45:06.8847780Z return self.next_sentence(x), self.mask_lm(x) 2025-12-04T08:45:06.8848016Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 61, in forward 2025-12-04T08:45:06.8848097Z return self.softmax(self.linear(x)) 2025-12-04T08:45:06.8848100Z 2025-12-04T08:45:28.4712834Z Compilation time (from dynamo_timed): 45.063238437 2025-12-04T08:45:28.4758813Z pass 2025-12-04T08:45:28.4760260Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:45:28.4761381Z TIMING: _recursive_pre_grad_passes:0.00847 _recursive_joint_graph_passes:1.24911 _recursive_post_grad_passes:0.37546 async_compile.wait:1.392 code_gen:20.76613 inductor_compile:26.11496 backend_compile:38.98757 gc:0.00025 entire_frame_compile:45.06324 total_wall_time:45.06324 2025-12-04T08:45:28.4762501Z STATS: call_* op count: 543 | FakeTensor.__torch_dispatch__:5367 | FakeTensorMode.__torch_dispatch__:10114 | attempt fast:84 | fast is_contiguous:84 | ProxyTorchDispatchMode.__torch_dispatch__:2753 2025-12-04T08:45:28.4763128Z Dynamo produced 1 graphs covering 543 ops with 0 graph breaks (0 unique) 2025-12-04T08:45:32.3894316Z /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. 2025-12-04T08:45:32.3895214Z import pynvml # type: ignore[import] 2025-12-04T08:45:34.6698138Z 2025-12-04T08:45:38.7877444Z loading model: 0it [00:00, ?it/s] 2025-12-04T08:45:38.7877764Z loading model: 0it [00:04, ?it/s] 2025-12-04T08:45:38.7890411Z cpu eval Background_Matting 2025-12-04T08:45:38.8128785Z Compilation time (from dynamo_timed): 0 2025-12-04T08:45:38.8129323Z pass_due_to_skip 2025-12-04T08:45:38.8129738Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:45:38.8130090Z TIMING: total_wall_time:0 2025-12-04T08:45:38.8130281Z STATS: call_* op count: 0 2025-12-04T08:45:38.8131178Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-12-04T08:45:40.0440768Z /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. 2025-12-04T08:45:40.0441734Z import pynvml # type: ignore[import] 2025-12-04T08:45:42.3696500Z 2025-12-04T08:45:44.1350136Z loading model: 0it [00:00, ?it/s] 2025-12-04T08:45:44.1350453Z loading model: 0it [00:01, ?it/s] 2025-12-04T08:45:44.1356875Z cpu eval LearningToPaint 2025-12-04T08:45:44.2289001Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:45:44.2727126Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:45:44.3151992Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:45:50.3074130Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3074491Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3074709Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3074933Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3075191Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3075424Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3075647Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3075874Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3076639Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3076884Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3077118Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3077350Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3077611Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3077833Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3078061Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3078297Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3078535Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3078768Z cudagraph partition due to non gpu ops 2025-12-04T08:45:50.3079035Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3079469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3079852Z return mod(*inputs) 2025-12-04T08:45:50.3080232Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward 2025-12-04T08:45:50.3080644Z x = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3080794Z 2025-12-04T08:45:50.3080911Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3081527Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3081907Z return mod(*inputs) 2025-12-04T08:45:50.3082254Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward 2025-12-04T08:45:50.3082653Z x = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3082802Z 2025-12-04T08:45:50.3082912Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3083312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3083664Z return mod(*inputs) 2025-12-04T08:45:50.3084036Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-12-04T08:45:50.3084410Z x = self.layer1(x) 2025-12-04T08:45:50.3084760Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:50.3085125Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3085275Z 2025-12-04T08:45:50.3085384Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3085759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3086100Z return mod(*inputs) 2025-12-04T08:45:50.3086449Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-12-04T08:45:50.3086822Z x = self.layer1(x) 2025-12-04T08:45:50.3087499Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:50.3087873Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3088021Z 2025-12-04T08:45:50.3088131Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3088623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3088975Z return mod(*inputs) 2025-12-04T08:45:50.3089327Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-12-04T08:45:50.3089713Z x = self.layer1(x) 2025-12-04T08:45:50.3090050Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-12-04T08:45:50.3090417Z out = self.bn2(self.conv2(out)) 2025-12-04T08:45:50.3090560Z 2025-12-04T08:45:50.3090666Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3091099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3091451Z return mod(*inputs) 2025-12-04T08:45:50.3091788Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-12-04T08:45:50.3092147Z x = self.layer1(x) 2025-12-04T08:45:50.3092495Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-12-04T08:45:50.3092865Z out += self.shortcut(x) 2025-12-04T08:45:50.3092986Z 2025-12-04T08:45:50.3093100Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3093475Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3093816Z return mod(*inputs) 2025-12-04T08:45:50.3094153Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-12-04T08:45:50.3094504Z x = self.layer1(x) 2025-12-04T08:45:50.3094844Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:50.3095222Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3095362Z 2025-12-04T08:45:50.3095475Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3095848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3096202Z return mod(*inputs) 2025-12-04T08:45:50.3096540Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-12-04T08:45:50.3096898Z x = self.layer1(x) 2025-12-04T08:45:50.3097234Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:50.3097607Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3097744Z 2025-12-04T08:45:50.3097859Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3098251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3098608Z return mod(*inputs) 2025-12-04T08:45:50.3098956Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-12-04T08:45:50.3099324Z x = self.layer1(x) 2025-12-04T08:45:50.3099691Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-12-04T08:45:50.3100072Z out = self.bn2(self.conv2(out)) 2025-12-04T08:45:50.3100203Z 2025-12-04T08:45:50.3100319Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3100708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3101054Z return mod(*inputs) 2025-12-04T08:45:50.3101398Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-12-04T08:45:50.3101754Z x = self.layer1(x) 2025-12-04T08:45:50.3102131Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-12-04T08:45:50.3102496Z out = F.relu(out) 2025-12-04T08:45:50.3102609Z 2025-12-04T08:45:50.3102727Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3103109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3103764Z return mod(*inputs) 2025-12-04T08:45:50.3104115Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-12-04T08:45:50.3104485Z x = self.layer2(x) 2025-12-04T08:45:50.3104824Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:50.3105215Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3105358Z 2025-12-04T08:45:50.3105474Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3105845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3106190Z return mod(*inputs) 2025-12-04T08:45:50.3106529Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-12-04T08:45:50.3106899Z x = self.layer2(x) 2025-12-04T08:45:50.3107230Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:50.3107606Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3107749Z 2025-12-04T08:45:50.3107864Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3108236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3108577Z return mod(*inputs) 2025-12-04T08:45:50.3108917Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-12-04T08:45:50.3109284Z x = self.layer2(x) 2025-12-04T08:45:50.3109625Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-12-04T08:45:50.3110001Z out = self.bn2(self.conv2(out)) 2025-12-04T08:45:50.3110138Z 2025-12-04T08:45:50.3110252Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3110623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3110972Z return mod(*inputs) 2025-12-04T08:45:50.3111318Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-12-04T08:45:50.3111673Z x = self.layer2(x) 2025-12-04T08:45:50.3112010Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-12-04T08:45:50.3112390Z out += self.shortcut(x) 2025-12-04T08:45:50.3112511Z 2025-12-04T08:45:50.3112628Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3112999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3113342Z return mod(*inputs) 2025-12-04T08:45:50.3113681Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-12-04T08:45:50.3114034Z x = self.layer2(x) 2025-12-04T08:45:50.3114404Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:50.3114772Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3114921Z 2025-12-04T08:45:50.3115029Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3115412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3115755Z return mod(*inputs) 2025-12-04T08:45:50.3116089Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-12-04T08:45:50.3116451Z x = self.layer2(x) 2025-12-04T08:45:50.3116788Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:50.3117234Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3117390Z 2025-12-04T08:45:50.3117499Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3117879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3118281Z return mod(*inputs) 2025-12-04T08:45:50.3118621Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-12-04T08:45:50.3118986Z x = self.layer2(x) 2025-12-04T08:45:50.3119322Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-12-04T08:45:50.3119682Z out = self.bn2(self.conv2(out)) 2025-12-04T08:45:50.3119824Z 2025-12-04T08:45:50.3119931Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3120309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3120650Z return mod(*inputs) 2025-12-04T08:45:50.3120989Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-12-04T08:45:50.3121443Z x = self.layer2(x) 2025-12-04T08:45:50.3121780Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-12-04T08:45:50.3122138Z out = F.relu(out) 2025-12-04T08:45:50.3122250Z 2025-12-04T08:45:50.3122357Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3122740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3123087Z return mod(*inputs) 2025-12-04T08:45:50.3123429Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-12-04T08:45:50.3123800Z x = self.layer3(x) 2025-12-04T08:45:50.3124141Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:50.3124529Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3124681Z 2025-12-04T08:45:50.3124788Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3125171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3125539Z return mod(*inputs) 2025-12-04T08:45:50.3125884Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-12-04T08:45:50.3126256Z x = self.layer3(x) 2025-12-04T08:45:50.3126594Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:50.3126978Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3127129Z 2025-12-04T08:45:50.3127238Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3127625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3127992Z return mod(*inputs) 2025-12-04T08:45:50.3128333Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-12-04T08:45:50.3128699Z x = self.layer3(x) 2025-12-04T08:45:50.3129040Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-12-04T08:45:50.3129420Z out = self.bn2(self.conv2(out)) 2025-12-04T08:45:50.3129567Z 2025-12-04T08:45:50.3129676Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3130052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3130420Z return mod(*inputs) 2025-12-04T08:45:50.3130757Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-12-04T08:45:50.3131130Z x = self.layer3(x) 2025-12-04T08:45:50.3131468Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-12-04T08:45:50.3131842Z out += self.shortcut(x) 2025-12-04T08:45:50.3132050Z 2025-12-04T08:45:50.3132161Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3132547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3132898Z return mod(*inputs) 2025-12-04T08:45:50.3133241Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-12-04T08:45:50.3133644Z x = self.layer3(x) 2025-12-04T08:45:50.3133986Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:50.3134363Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3134518Z 2025-12-04T08:45:50.3134631Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3135018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3135370Z return mod(*inputs) 2025-12-04T08:45:50.3135717Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-12-04T08:45:50.3136088Z x = self.layer3(x) 2025-12-04T08:45:50.3136431Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:50.3136807Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3136965Z 2025-12-04T08:45:50.3137079Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3137466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3137818Z return mod(*inputs) 2025-12-04T08:45:50.3138159Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-12-04T08:45:50.3138558Z x = self.layer3(x) 2025-12-04T08:45:50.3138899Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-12-04T08:45:50.3139269Z out = self.bn2(self.conv2(out)) 2025-12-04T08:45:50.3139413Z 2025-12-04T08:45:50.3139529Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3139915Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3140267Z return mod(*inputs) 2025-12-04T08:45:50.3140613Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-12-04T08:45:50.3140985Z x = self.layer3(x) 2025-12-04T08:45:50.3141329Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-12-04T08:45:50.3141689Z out = F.relu(out) 2025-12-04T08:45:50.3141806Z 2025-12-04T08:45:50.3141916Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3142308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3142659Z return mod(*inputs) 2025-12-04T08:45:50.3143004Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-12-04T08:45:50.3143375Z x = self.layer4(x) 2025-12-04T08:45:50.3143718Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:50.3144107Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3144261Z 2025-12-04T08:45:50.3144378Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3144769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3145118Z return mod(*inputs) 2025-12-04T08:45:50.3145466Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-12-04T08:45:50.3145834Z x = self.layer4(x) 2025-12-04T08:45:50.3146168Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:50.3146549Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3146700Z 2025-12-04T08:45:50.3146854Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3147226Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3147556Z return mod(*inputs) 2025-12-04T08:45:50.3147879Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-12-04T08:45:50.3148262Z x = self.layer4(x) 2025-12-04T08:45:50.3148588Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-12-04T08:45:50.3148958Z out = self.bn2(self.conv2(out)) 2025-12-04T08:45:50.3149094Z 2025-12-04T08:45:50.3149200Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3149571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3149908Z return mod(*inputs) 2025-12-04T08:45:50.3150234Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-12-04T08:45:50.3150605Z x = self.layer4(x) 2025-12-04T08:45:50.3150941Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-12-04T08:45:50.3151312Z out += self.shortcut(x) 2025-12-04T08:45:50.3151442Z 2025-12-04T08:45:50.3151551Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3151936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3152281Z return mod(*inputs) 2025-12-04T08:45:50.3152615Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-12-04T08:45:50.3152979Z x = self.layer4(x) 2025-12-04T08:45:50.3153312Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:50.3153675Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3153821Z 2025-12-04T08:45:50.3153926Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3154306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3154646Z return mod(*inputs) 2025-12-04T08:45:50.3154973Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-12-04T08:45:50.3155336Z x = self.layer4(x) 2025-12-04T08:45:50.3155669Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-12-04T08:45:50.3156035Z out = F.relu(self.bn1(self.conv1(x))) 2025-12-04T08:45:50.3156183Z 2025-12-04T08:45:50.3156289Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3156665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3157002Z return mod(*inputs) 2025-12-04T08:45:50.3157334Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-12-04T08:45:50.3157697Z x = self.layer4(x) 2025-12-04T08:45:50.3158030Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-12-04T08:45:50.3158390Z out = self.bn2(self.conv2(out)) 2025-12-04T08:45:50.3158531Z 2025-12-04T08:45:50.3158639Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3159017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3159361Z return mod(*inputs) 2025-12-04T08:45:50.3159694Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-12-04T08:45:50.3160055Z x = self.layer4(x) 2025-12-04T08:45:50.3160388Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-12-04T08:45:50.3160742Z out = F.relu(out) 2025-12-04T08:45:50.3160853Z 2025-12-04T08:45:50.3160959Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3161490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3161846Z return mod(*inputs) 2025-12-04T08:45:50.3162183Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 133, in forward 2025-12-04T08:45:50.3162556Z x = F.avg_pool2d(x, 4) 2025-12-04T08:45:50.3162712Z 2025-12-04T08:45:50.3162828Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3163200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3163549Z return mod(*inputs) 2025-12-04T08:45:50.3163893Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 135, in forward 2025-12-04T08:45:50.3164249Z x = self.fc(x) 2025-12-04T08:45:50.3164349Z 2025-12-04T08:45:50.3164455Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:45:50.3164831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T08:45:50.3165176Z return mod(*inputs) 2025-12-04T08:45:50.3165508Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 136, in forward 2025-12-04T08:45:50.3165875Z x = torch.sigmoid(x) 2025-12-04T08:45:50.3165991Z 2025-12-04T08:46:01.3255555Z Compilation time (from dynamo_timed): 16.477659405 2025-12-04T08:46:01.3255931Z pass 2025-12-04T08:46:01.3260038Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:46:01.3260949Z TIMING: _recursive_pre_grad_passes:0.00538 _recursive_joint_graph_passes:0.15642 _recursive_post_grad_passes:0.04152 async_compile.wait:1.13929 code_gen:11.00051 inductor_compile:12.0289 backend_compile:14.66874 gc:0.00129 entire_frame_compile:16.47766 total_wall_time:16.47766 2025-12-04T08:46:01.3262195Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:3092 | attempt fast:38 | fast is_contiguous:38 | FakeTensor.__torch_dispatch__:2120 | ProxyTorchDispatchMode.__torch_dispatch__:1128 2025-12-04T08:46:01.3262809Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique) 2025-12-04T08:46:03.3642784Z /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. 2025-12-04T08:46:03.3643719Z import pynvml # type: ignore[import] 2025-12-04T08:46:05.6904321Z 2025-12-04T08:46:06.5476181Z 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 2025-12-04T08:46:06.5709592Z 2025-12-04T08:46:06.5709930Z 2025-12-04T08:46:06.6720797Z 0% 0.00/528M [00:00 2025-12-04T08:53:20.1392204Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T08:53:20.1392444Z 2025-12-04T08:53:20.1392584Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:20.1393055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in preprocess_image 2025-12-04T08:53:20.1398498Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T08:53:20.1398967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in 2025-12-04T08:53:20.1399443Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T08:53:20.1399631Z 2025-12-04T08:53:20.1399766Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:20.1400248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in preprocess_image 2025-12-04T08:53:20.1400722Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T08:53:20.1401456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in 2025-12-04T08:53:20.1401928Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T08:53:20.1402109Z 2025-12-04T08:53:20.1402224Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:20.1402692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in preprocess_image 2025-12-04T08:53:20.1403165Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T08:53:20.1403850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 228, in 2025-12-04T08:53:20.1404329Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T08:53:20.1404520Z 2025-12-04T08:53:30.0420733Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:30.0421550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T08:53:30.0422087Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:53:30.0422544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T08:53:30.0423023Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:53:30.0423489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:53:30.0423937Z return torch.as_tensor(x, device=device) 2025-12-04T08:53:30.0424141Z 2025-12-04T08:53:30.0424259Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:30.0424699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T08:53:30.0425164Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:53:30.0425610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T08:53:30.0426048Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:53:30.0426492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:53:30.0426913Z return torch.as_tensor(x, device=device) 2025-12-04T08:53:30.0427058Z 2025-12-04T08:53:30.0427176Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:30.0427614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T08:53:30.0428059Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:53:30.0428595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T08:53:30.0429541Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:53:30.0430007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:53:30.0430439Z return torch.as_tensor(x, device=device) 2025-12-04T08:53:30.0430686Z 2025-12-04T08:53:30.0430809Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:30.0431264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T08:53:30.0431732Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:53:30.0432180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T08:53:30.0432625Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:53:30.0433075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:53:30.0433497Z return torch.as_tensor(x, device=device) 2025-12-04T08:53:30.0433641Z 2025-12-04T08:53:30.0433756Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:30.0434181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 89, in from_tensors 2025-12-04T08:53:30.0434616Z max_size = torch.stack(image_sizes_tensor).max(0).values 2025-12-04T08:53:30.0434799Z 2025-12-04T08:53:30.0434905Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:30.0435328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 89, in from_tensors 2025-12-04T08:53:30.0435750Z max_size = torch.stack(image_sizes_tensor).max(0).values 2025-12-04T08:53:30.0435923Z 2025-12-04T08:53:30.9632858Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6305377Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6305871Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6308412Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6308797Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6309081Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6309380Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6309706Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6310029Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6310338Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6310659Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6310974Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6311291Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6311601Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6311913Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6312237Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6312557Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6312885Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6313209Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6313545Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6313860Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6314150Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6314437Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6314757Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6315040Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6315304Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6315634Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6315893Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6316115Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6316418Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6316682Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6316997Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6317709Z cudagraph partition due to non gpu ops 2025-12-04T08:53:47.6318112Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6318990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6319885Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6320468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:53:47.6321101Z x = self.stem(x) 2025-12-04T08:53:47.6322009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward 2025-12-04T08:53:47.6322626Z x = self.conv1(x) 2025-12-04T08:53:47.6323138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6323689Z x = F.conv2d( 2025-12-04T08:53:47.6323840Z 2025-12-04T08:53:47.6324026Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6324808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6325534Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6326174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:53:47.6326779Z x = self.stem(x) 2025-12-04T08:53:47.6327353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward 2025-12-04T08:53:47.6327950Z x = F.relu_(x) 2025-12-04T08:53:47.6328094Z 2025-12-04T08:53:47.6328253Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6328867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6329447Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6330001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:53:47.6330551Z x = self.stem(x) 2025-12-04T08:53:47.6331048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward 2025-12-04T08:53:47.6331654Z x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1) 2025-12-04T08:53:47.6331892Z 2025-12-04T08:53:47.6332064Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6332773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6333482Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6334123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6334734Z x = stage(x) 2025-12-04T08:53:47.6335273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6335886Z out = self.conv1(x) 2025-12-04T08:53:47.6336402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6336967Z x = F.conv2d( 2025-12-04T08:53:47.6337103Z 2025-12-04T08:53:47.6337265Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6338060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6338660Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6339275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6339838Z x = stage(x) 2025-12-04T08:53:47.6340538Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6341017Z out = F.relu_(out) 2025-12-04T08:53:47.6341182Z 2025-12-04T08:53:47.6341346Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6342129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6342893Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6343527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6344124Z x = stage(x) 2025-12-04T08:53:47.6344664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6345072Z out = self.conv2(out) 2025-12-04T08:53:47.6345526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6346041Z x = F.conv2d( 2025-12-04T08:53:47.6346181Z 2025-12-04T08:53:47.6346339Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6347300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6348002Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6348567Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6349171Z x = stage(x) 2025-12-04T08:53:47.6349723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6350185Z out = F.relu_(out) 2025-12-04T08:53:47.6350308Z 2025-12-04T08:53:47.6350473Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6351104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6351788Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6352303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6352849Z x = stage(x) 2025-12-04T08:53:47.6353385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6353986Z out = self.conv3(out) 2025-12-04T08:53:47.6354441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6354914Z x = F.conv2d( 2025-12-04T08:53:47.6355024Z 2025-12-04T08:53:47.6355180Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6355849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6356566Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6357193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6357785Z x = stage(x) 2025-12-04T08:53:47.6358297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:53:47.6358828Z shortcut = self.shortcut(x) 2025-12-04T08:53:47.6359366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6359930Z x = F.conv2d( 2025-12-04T08:53:47.6360077Z 2025-12-04T08:53:47.6360237Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6361142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6362002Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6362582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6363264Z x = stage(x) 2025-12-04T08:53:47.6363769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6364369Z out = self.conv1(x) 2025-12-04T08:53:47.6364827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6365368Z x = F.conv2d( 2025-12-04T08:53:47.6365497Z 2025-12-04T08:53:47.6365657Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6366362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6367100Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6367736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6368294Z x = stage(x) 2025-12-04T08:53:47.6368675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6369292Z out = F.relu_(out) 2025-12-04T08:53:47.6369442Z 2025-12-04T08:53:47.6369613Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6370341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6371033Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6371657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6372212Z x = stage(x) 2025-12-04T08:53:47.6372758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6373389Z out = self.conv2(out) 2025-12-04T08:53:47.6373808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6374257Z x = F.conv2d( 2025-12-04T08:53:47.6374402Z 2025-12-04T08:53:47.6374561Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6375342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6376130Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6376676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6377228Z x = stage(x) 2025-12-04T08:53:47.6377668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6378196Z out = F.relu_(out) 2025-12-04T08:53:47.6378357Z 2025-12-04T08:53:47.6378522Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6379197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6379858Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6380476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6381087Z x = stage(x) 2025-12-04T08:53:47.6381486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6382089Z out = self.conv3(out) 2025-12-04T08:53:47.6382717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6383108Z x = F.conv2d( 2025-12-04T08:53:47.6383207Z 2025-12-04T08:53:47.6383327Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6383829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6384395Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6384808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6385202Z x = stage(x) 2025-12-04T08:53:47.6385553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6385947Z out = F.relu_(out) 2025-12-04T08:53:47.6386053Z 2025-12-04T08:53:47.6386450Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6386958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6387435Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6387840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6388236Z x = stage(x) 2025-12-04T08:53:47.6388586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6388981Z out = self.conv1(x) 2025-12-04T08:53:47.6389333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6389697Z x = F.conv2d( 2025-12-04T08:53:47.6389792Z 2025-12-04T08:53:47.6389903Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6390402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6390881Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6391279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6391667Z x = stage(x) 2025-12-04T08:53:47.6392021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6392414Z out = F.relu_(out) 2025-12-04T08:53:47.6392521Z 2025-12-04T08:53:47.6392630Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6393134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6393613Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6394026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6394407Z x = stage(x) 2025-12-04T08:53:47.6394763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6395164Z out = self.conv2(out) 2025-12-04T08:53:47.6395517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6395886Z x = F.conv2d( 2025-12-04T08:53:47.6395989Z 2025-12-04T08:53:47.6396100Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6396605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6397079Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6397542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6397931Z x = stage(x) 2025-12-04T08:53:47.6398302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6398719Z out = F.relu_(out) 2025-12-04T08:53:47.6398840Z 2025-12-04T08:53:47.6398988Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6399490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6399974Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6400375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6400764Z x = stage(x) 2025-12-04T08:53:47.6401124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6401746Z out = self.conv3(out) 2025-12-04T08:53:47.6402124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6402509Z x = F.conv2d( 2025-12-04T08:53:47.6402609Z 2025-12-04T08:53:47.6402731Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6403251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6404008Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6404437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6404863Z x = stage(x) 2025-12-04T08:53:47.6405235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6405650Z out = F.relu_(out) 2025-12-04T08:53:47.6405758Z 2025-12-04T08:53:47.6405880Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6406375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6406876Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6407314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6407713Z x = stage(x) 2025-12-04T08:53:47.6408073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6408479Z out = self.conv1(x) 2025-12-04T08:53:47.6408827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6409188Z x = F.conv2d( 2025-12-04T08:53:47.6409293Z 2025-12-04T08:53:47.6409404Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6409902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6410379Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6410789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6411181Z x = stage(x) 2025-12-04T08:53:47.6411532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6411932Z out = F.relu_(out) 2025-12-04T08:53:47.6412038Z 2025-12-04T08:53:47.6412145Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6412639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6413275Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6413678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6414086Z x = stage(x) 2025-12-04T08:53:47.6414447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6415395Z out = self.conv2(out) 2025-12-04T08:53:47.6415750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6416121Z x = F.conv2d( 2025-12-04T08:53:47.6416217Z 2025-12-04T08:53:47.6416337Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6416841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6417319Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6417738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6418132Z x = stage(x) 2025-12-04T08:53:47.6418482Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6418877Z out = F.relu_(out) 2025-12-04T08:53:47.6418989Z 2025-12-04T08:53:47.6419098Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6419599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6420073Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6420488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6420895Z x = stage(x) 2025-12-04T08:53:47.6421249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6421650Z out = self.conv3(out) 2025-12-04T08:53:47.6422004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6422371Z x = F.conv2d( 2025-12-04T08:53:47.6422472Z 2025-12-04T08:53:47.6422583Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6423085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6423570Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6423985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6424367Z x = stage(x) 2025-12-04T08:53:47.6424723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:53:47.6425133Z shortcut = self.shortcut(x) 2025-12-04T08:53:47.6425495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6425868Z x = F.conv2d( 2025-12-04T08:53:47.6425972Z 2025-12-04T08:53:47.6426082Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6426589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6427062Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6427471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6427863Z x = stage(x) 2025-12-04T08:53:47.6428213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6428613Z out = self.conv1(x) 2025-12-04T08:53:47.6429018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6429386Z x = F.conv2d( 2025-12-04T08:53:47.6429483Z 2025-12-04T08:53:47.6429592Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6430153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6430644Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6431063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6431456Z x = stage(x) 2025-12-04T08:53:47.6431826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6432234Z out = F.relu_(out) 2025-12-04T08:53:47.6432346Z 2025-12-04T08:53:47.6432467Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6433010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6433500Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6433925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6434336Z x = stage(x) 2025-12-04T08:53:47.6434699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6435113Z out = self.conv2(out) 2025-12-04T08:53:47.6435480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6435848Z x = F.conv2d( 2025-12-04T08:53:47.6435959Z 2025-12-04T08:53:47.6436074Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6436591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6437083Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6437497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6437901Z x = stage(x) 2025-12-04T08:53:47.6438268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6438695Z out = F.relu_(out) 2025-12-04T08:53:47.6438807Z 2025-12-04T08:53:47.6438922Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6439432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6439924Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6440337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6440738Z x = stage(x) 2025-12-04T08:53:47.6441104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6441616Z out = self.conv3(out) 2025-12-04T08:53:47.6441968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6442336Z x = F.conv2d( 2025-12-04T08:53:47.6442434Z 2025-12-04T08:53:47.6442553Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6443047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6443528Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6444023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6444444Z x = stage(x) 2025-12-04T08:53:47.6444854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6445330Z out = F.relu_(out) 2025-12-04T08:53:47.6445436Z 2025-12-04T08:53:47.6445557Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6446073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6446563Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6446974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6447392Z x = stage(x) 2025-12-04T08:53:47.6447771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6448197Z out = self.conv1(x) 2025-12-04T08:53:47.6448559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6448929Z x = F.conv2d( 2025-12-04T08:53:47.6449025Z 2025-12-04T08:53:47.6449140Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6449646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6450134Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6450545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6450944Z x = stage(x) 2025-12-04T08:53:47.6451309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6451723Z out = F.relu_(out) 2025-12-04T08:53:47.6451831Z 2025-12-04T08:53:47.6451942Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6452445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6452932Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6453343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6453735Z x = stage(x) 2025-12-04T08:53:47.6454086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6454495Z out = self.conv2(out) 2025-12-04T08:53:47.6454844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6455211Z x = F.conv2d( 2025-12-04T08:53:47.6455315Z 2025-12-04T08:53:47.6455427Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6455932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6456405Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6456820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6457218Z x = stage(x) 2025-12-04T08:53:47.6457578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6457977Z out = F.relu_(out) 2025-12-04T08:53:47.6458091Z 2025-12-04T08:53:47.6458199Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6458751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6459225Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6459641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6460041Z x = stage(x) 2025-12-04T08:53:47.6460400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6460833Z out = self.conv3(out) 2025-12-04T08:53:47.6461191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6461562Z x = F.conv2d( 2025-12-04T08:53:47.6461660Z 2025-12-04T08:53:47.6461770Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6462272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6462753Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6463163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6463551Z x = stage(x) 2025-12-04T08:53:47.6463910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6464308Z out = F.relu_(out) 2025-12-04T08:53:47.6464416Z 2025-12-04T08:53:47.6464532Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6465023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6465501Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6465908Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6466286Z x = stage(x) 2025-12-04T08:53:47.6466646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6467045Z out = self.conv1(x) 2025-12-04T08:53:47.6467395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6467767Z x = F.conv2d( 2025-12-04T08:53:47.6467873Z 2025-12-04T08:53:47.6467982Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6468486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6468963Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6469364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6469758Z x = stage(x) 2025-12-04T08:53:47.6470119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6470505Z out = F.relu_(out) 2025-12-04T08:53:47.6470620Z 2025-12-04T08:53:47.6470730Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6471232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6471717Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6472120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6472510Z x = stage(x) 2025-12-04T08:53:47.6472867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6473254Z out = self.conv2(out) 2025-12-04T08:53:47.6473665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6474038Z x = F.conv2d( 2025-12-04T08:53:47.6474137Z 2025-12-04T08:53:47.6474255Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6474754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6475385Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6475805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6476207Z x = stage(x) 2025-12-04T08:53:47.6476556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6476959Z out = F.relu_(out) 2025-12-04T08:53:47.6477066Z 2025-12-04T08:53:47.6477182Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6477678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6478160Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6478565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6478959Z x = stage(x) 2025-12-04T08:53:47.6479306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6479701Z out = self.conv3(out) 2025-12-04T08:53:47.6480052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6480410Z x = F.conv2d( 2025-12-04T08:53:47.6480514Z 2025-12-04T08:53:47.6480621Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6481128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6481914Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6482330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6482734Z x = stage(x) 2025-12-04T08:53:47.6483112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6483519Z out = F.relu_(out) 2025-12-04T08:53:47.6483630Z 2025-12-04T08:53:47.6483740Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6484245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6484737Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6485154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6485559Z x = stage(x) 2025-12-04T08:53:47.6485928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6486336Z out = self.conv1(x) 2025-12-04T08:53:47.6486680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6487052Z x = F.conv2d( 2025-12-04T08:53:47.6487149Z 2025-12-04T08:53:47.6487266Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6487765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6488252Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6488676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6489078Z x = stage(x) 2025-12-04T08:53:47.6489508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6489912Z out = F.relu_(out) 2025-12-04T08:53:47.6490019Z 2025-12-04T08:53:47.6490137Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6490679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6491157Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6491572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6491969Z x = stage(x) 2025-12-04T08:53:47.6492326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6492731Z out = self.conv2(out) 2025-12-04T08:53:47.6493093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6493459Z x = F.conv2d( 2025-12-04T08:53:47.6493556Z 2025-12-04T08:53:47.6493666Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6494164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6494647Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6495057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6495448Z x = stage(x) 2025-12-04T08:53:47.6495802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6496206Z out = F.relu_(out) 2025-12-04T08:53:47.6496312Z 2025-12-04T08:53:47.6496424Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6496929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6497403Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6497808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6498192Z x = stage(x) 2025-12-04T08:53:47.6498547Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6498949Z out = self.conv3(out) 2025-12-04T08:53:47.6499298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6499663Z x = F.conv2d( 2025-12-04T08:53:47.6499764Z 2025-12-04T08:53:47.6499874Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6500374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6500846Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6501253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6501648Z x = stage(x) 2025-12-04T08:53:47.6502002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:53:47.6502407Z shortcut = self.shortcut(x) 2025-12-04T08:53:47.6502780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6503149Z x = F.conv2d( 2025-12-04T08:53:47.6503246Z 2025-12-04T08:53:47.6503355Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6504444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6504940Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6505354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6505810Z x = stage(x) 2025-12-04T08:53:47.6506173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6506574Z out = self.conv1(x) 2025-12-04T08:53:47.6506919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6507295Z x = F.conv2d( 2025-12-04T08:53:47.6507400Z 2025-12-04T08:53:47.6507510Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6508041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6508518Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6508926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6509317Z x = stage(x) 2025-12-04T08:53:47.6509675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6510064Z out = F.relu_(out) 2025-12-04T08:53:47.6510179Z 2025-12-04T08:53:47.6510287Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6510789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6511263Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6511673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6512064Z x = stage(x) 2025-12-04T08:53:47.6512423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6512812Z out = self.conv2(out) 2025-12-04T08:53:47.6513170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6513543Z x = F.conv2d( 2025-12-04T08:53:47.6513638Z 2025-12-04T08:53:47.6513755Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6514249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6514885Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6515351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6515757Z x = stage(x) 2025-12-04T08:53:47.6516121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6516516Z out = F.relu_(out) 2025-12-04T08:53:47.6516622Z 2025-12-04T08:53:47.6516738Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6517238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6517717Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6518123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6518521Z x = stage(x) 2025-12-04T08:53:47.6518881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6519285Z out = self.conv3(out) 2025-12-04T08:53:47.6519696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6520057Z x = F.conv2d( 2025-12-04T08:53:47.6520161Z 2025-12-04T08:53:47.6520270Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6520773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6521412Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6521820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6522219Z x = stage(x) 2025-12-04T08:53:47.6522580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6522977Z out = F.relu_(out) 2025-12-04T08:53:47.6523095Z 2025-12-04T08:53:47.6523204Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6523707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6524190Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6524588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6524980Z x = stage(x) 2025-12-04T08:53:47.6525332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6525717Z out = self.conv1(x) 2025-12-04T08:53:47.6526065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6526429Z x = F.conv2d( 2025-12-04T08:53:47.6526522Z 2025-12-04T08:53:47.6526640Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6527135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6527612Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6528021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6528410Z x = stage(x) 2025-12-04T08:53:47.6528759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6529149Z out = F.relu_(out) 2025-12-04T08:53:47.6529254Z 2025-12-04T08:53:47.6529371Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6529860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6530338Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6530746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6531136Z x = stage(x) 2025-12-04T08:53:47.6531486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6531876Z out = self.conv2(out) 2025-12-04T08:53:47.6532234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6532599Z x = F.conv2d( 2025-12-04T08:53:47.6532694Z 2025-12-04T08:53:47.6532803Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6533301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6533773Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6534221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6534614Z x = stage(x) 2025-12-04T08:53:47.6534973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6535377Z out = F.relu_(out) 2025-12-04T08:53:47.6535485Z 2025-12-04T08:53:47.6535630Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6536127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6536607Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6537003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6537394Z x = stage(x) 2025-12-04T08:53:47.6537749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6538159Z out = self.conv3(out) 2025-12-04T08:53:47.6538508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6538874Z x = F.conv2d( 2025-12-04T08:53:47.6538969Z 2025-12-04T08:53:47.6539085Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6539588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6540060Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6540469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6540867Z x = stage(x) 2025-12-04T08:53:47.6541218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6541617Z out = F.relu_(out) 2025-12-04T08:53:47.6541732Z 2025-12-04T08:53:47.6541845Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6542346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6542818Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6543226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6543624Z x = stage(x) 2025-12-04T08:53:47.6543968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6544368Z out = self.conv1(x) 2025-12-04T08:53:47.6544715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6545082Z x = F.conv2d( 2025-12-04T08:53:47.6545178Z 2025-12-04T08:53:47.6545290Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6545786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6546275Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6546684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6547078Z x = stage(x) 2025-12-04T08:53:47.6547439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6547844Z out = F.relu_(out) 2025-12-04T08:53:47.6547951Z 2025-12-04T08:53:47.6548059Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6548557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6549088Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6549503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6549894Z x = stage(x) 2025-12-04T08:53:47.6550254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6550773Z out = self.conv2(out) 2025-12-04T08:53:47.6551130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6551489Z x = F.conv2d( 2025-12-04T08:53:47.6551590Z 2025-12-04T08:53:47.6551696Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6552181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6552642Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6553074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6553469Z x = stage(x) 2025-12-04T08:53:47.6553830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6554225Z out = F.relu_(out) 2025-12-04T08:53:47.6554339Z 2025-12-04T08:53:47.6554448Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6554943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6555415Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6555811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6556202Z x = stage(x) 2025-12-04T08:53:47.6556558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6556956Z out = self.conv3(out) 2025-12-04T08:53:47.6557312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6557681Z x = F.conv2d( 2025-12-04T08:53:47.6557780Z 2025-12-04T08:53:47.6557896Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6558388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6558867Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6559275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6559655Z x = stage(x) 2025-12-04T08:53:47.6560010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6560416Z out = F.relu_(out) 2025-12-04T08:53:47.6560523Z 2025-12-04T08:53:47.6560641Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6561129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6561835Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6562252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6562659Z x = stage(x) 2025-12-04T08:53:47.6563011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6563415Z out = self.conv1(x) 2025-12-04T08:53:47.6563759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6564114Z x = F.conv2d( 2025-12-04T08:53:47.6564281Z 2025-12-04T08:53:47.6564391Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6564876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6565334Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6565762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6566137Z x = stage(x) 2025-12-04T08:53:47.6566488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6566862Z out = F.relu_(out) 2025-12-04T08:53:47.6566976Z 2025-12-04T08:53:47.6567081Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6567568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6568029Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6568414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6568787Z x = stage(x) 2025-12-04T08:53:47.6569136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6569522Z out = self.conv2(out) 2025-12-04T08:53:47.6569860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6570213Z x = F.conv2d( 2025-12-04T08:53:47.6570305Z 2025-12-04T08:53:47.6570417Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6570896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6571364Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6571758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6572136Z x = stage(x) 2025-12-04T08:53:47.6572471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6572853Z out = F.relu_(out) 2025-12-04T08:53:47.6572956Z 2025-12-04T08:53:47.6573068Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6573546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6574007Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6574398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6574772Z x = stage(x) 2025-12-04T08:53:47.6575114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6575496Z out = self.conv3(out) 2025-12-04T08:53:47.6575842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6576202Z x = F.conv2d( 2025-12-04T08:53:47.6576296Z 2025-12-04T08:53:47.6576403Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6576889Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6577354Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6577740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6578129Z x = stage(x) 2025-12-04T08:53:47.6578539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6578927Z out = F.relu_(out) 2025-12-04T08:53:47.6579031Z 2025-12-04T08:53:47.6579139Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6579626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6580136Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6580534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6580915Z x = stage(x) 2025-12-04T08:53:47.6581269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6581696Z out = self.conv1(x) 2025-12-04T08:53:47.6582042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6582398Z x = F.conv2d( 2025-12-04T08:53:47.6582494Z 2025-12-04T08:53:47.6582610Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6583105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6583580Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6583987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6584384Z x = stage(x) 2025-12-04T08:53:47.6584730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6585130Z out = F.relu_(out) 2025-12-04T08:53:47.6585243Z 2025-12-04T08:53:47.6585352Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6585854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6586333Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6586753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6587155Z x = stage(x) 2025-12-04T08:53:47.6587519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6587917Z out = self.conv2(out) 2025-12-04T08:53:47.6588268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6588633Z x = F.conv2d( 2025-12-04T08:53:47.6588726Z 2025-12-04T08:53:47.6588835Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6589339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6589828Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6590240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6590635Z x = stage(x) 2025-12-04T08:53:47.6590997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6591400Z out = F.relu_(out) 2025-12-04T08:53:47.6591508Z 2025-12-04T08:53:47.6591617Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6592114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6592595Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6593115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6593509Z x = stage(x) 2025-12-04T08:53:47.6593878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6594286Z out = self.conv3(out) 2025-12-04T08:53:47.6594675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6595032Z x = F.conv2d( 2025-12-04T08:53:47.6595136Z 2025-12-04T08:53:47.6595247Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6595749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6596227Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6596647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6597046Z x = stage(x) 2025-12-04T08:53:47.6597402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6597796Z out = F.relu_(out) 2025-12-04T08:53:47.6597913Z 2025-12-04T08:53:47.6598020Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6598522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6598998Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6599392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6599786Z x = stage(x) 2025-12-04T08:53:47.6600136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6600531Z out = self.conv1(x) 2025-12-04T08:53:47.6600879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6601354Z x = F.conv2d( 2025-12-04T08:53:47.6601514Z 2025-12-04T08:53:47.6601659Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6602152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6602641Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6603049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6603663Z x = stage(x) 2025-12-04T08:53:47.6604060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6604462Z out = F.relu_(out) 2025-12-04T08:53:47.6604569Z 2025-12-04T08:53:47.6604692Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6605193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6605674Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6606085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6606484Z x = stage(x) 2025-12-04T08:53:47.6606833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6607237Z out = self.conv2(out) 2025-12-04T08:53:47.6607591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6607949Z x = F.conv2d( 2025-12-04T08:53:47.6608051Z 2025-12-04T08:53:47.6608160Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6608785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6609271Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6609678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6610152Z x = stage(x) 2025-12-04T08:53:47.6610510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6610899Z out = F.relu_(out) 2025-12-04T08:53:47.6611016Z 2025-12-04T08:53:47.6611133Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6611623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6612092Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6612494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6612892Z x = stage(x) 2025-12-04T08:53:47.6613258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6613664Z out = self.conv3(out) 2025-12-04T08:53:47.6614016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6614392Z x = F.conv2d( 2025-12-04T08:53:47.6614486Z 2025-12-04T08:53:47.6614603Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6615096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6615579Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6615993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6616384Z x = stage(x) 2025-12-04T08:53:47.6616733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6617126Z out = F.relu_(out) 2025-12-04T08:53:47.6617232Z 2025-12-04T08:53:47.6617347Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6617839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6618299Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6618696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6619087Z x = stage(x) 2025-12-04T08:53:47.6619428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6619815Z out = self.conv1(x) 2025-12-04T08:53:47.6620158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6620537Z x = F.conv2d( 2025-12-04T08:53:47.6620632Z 2025-12-04T08:53:47.6620743Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6621254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6621745Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6622137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6622541Z x = stage(x) 2025-12-04T08:53:47.6622890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6623286Z out = F.relu_(out) 2025-12-04T08:53:47.6623445Z 2025-12-04T08:53:47.6623554Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6624042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6624551Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6624956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6625334Z x = stage(x) 2025-12-04T08:53:47.6625688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6626093Z out = self.conv2(out) 2025-12-04T08:53:47.6626438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6626815Z x = F.conv2d( 2025-12-04T08:53:47.6626919Z 2025-12-04T08:53:47.6627030Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6627525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6627998Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6628409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6628799Z x = stage(x) 2025-12-04T08:53:47.6629150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6629546Z out = F.relu_(out) 2025-12-04T08:53:47.6629663Z 2025-12-04T08:53:47.6629771Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6630274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6630753Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6631167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6631556Z x = stage(x) 2025-12-04T08:53:47.6631912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6632310Z out = self.conv3(out) 2025-12-04T08:53:47.6632671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6633042Z x = F.conv2d( 2025-12-04T08:53:47.6633139Z 2025-12-04T08:53:47.6633249Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6633756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6634240Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6634655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6635040Z x = stage(x) 2025-12-04T08:53:47.6635403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6635808Z out = F.relu_(out) 2025-12-04T08:53:47.6635915Z 2025-12-04T08:53:47.6636030Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6636531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6637015Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6637424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6637806Z x = stage(x) 2025-12-04T08:53:47.6638215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6638613Z out = self.conv1(x) 2025-12-04T08:53:47.6638962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6639368Z x = F.conv2d( 2025-12-04T08:53:47.6639472Z 2025-12-04T08:53:47.6639583Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6640083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6640555Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6640963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6641445Z x = stage(x) 2025-12-04T08:53:47.6641809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6642195Z out = F.relu_(out) 2025-12-04T08:53:47.6642310Z 2025-12-04T08:53:47.6642419Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6642921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6643404Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6643810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6644205Z x = stage(x) 2025-12-04T08:53:47.6644563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6644967Z out = self.conv2(out) 2025-12-04T08:53:47.6645324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6645688Z x = F.conv2d( 2025-12-04T08:53:47.6645782Z 2025-12-04T08:53:47.6645898Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6646387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6646879Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6647283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6647682Z x = stage(x) 2025-12-04T08:53:47.6648031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6648430Z out = F.relu_(out) 2025-12-04T08:53:47.6648538Z 2025-12-04T08:53:47.6648654Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6649438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6649943Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6650364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6650769Z x = stage(x) 2025-12-04T08:53:47.6651129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6651529Z out = self.conv3(out) 2025-12-04T08:53:47.6651888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6652260Z x = F.conv2d( 2025-12-04T08:53:47.6652367Z 2025-12-04T08:53:47.6652478Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6653041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6653520Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6653929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6654328Z x = stage(x) 2025-12-04T08:53:47.6654739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6655139Z out = F.relu_(out) 2025-12-04T08:53:47.6655247Z 2025-12-04T08:53:47.6655354Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6655868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6656358Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6656768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6657172Z x = stage(x) 2025-12-04T08:53:47.6657538Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6657944Z out = self.conv1(x) 2025-12-04T08:53:47.6658287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6658657Z x = F.conv2d( 2025-12-04T08:53:47.6658754Z 2025-12-04T08:53:47.6658872Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6659369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6659846Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6660254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6660650Z x = stage(x) 2025-12-04T08:53:47.6661007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6661402Z out = F.relu_(out) 2025-12-04T08:53:47.6661509Z 2025-12-04T08:53:47.6661625Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6662132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6662602Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6663009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6663408Z x = stage(x) 2025-12-04T08:53:47.6663764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6664160Z out = self.conv2(out) 2025-12-04T08:53:47.6664510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6664867Z x = F.conv2d( 2025-12-04T08:53:47.6664962Z 2025-12-04T08:53:47.6665067Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6665555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6666024Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6666428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6666819Z x = stage(x) 2025-12-04T08:53:47.6667177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6667582Z out = F.relu_(out) 2025-12-04T08:53:47.6667690Z 2025-12-04T08:53:47.6667797Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6668372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6668841Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6669240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6669665Z x = stage(x) 2025-12-04T08:53:47.6670025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6670433Z out = self.conv3(out) 2025-12-04T08:53:47.6670783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6671154Z x = F.conv2d( 2025-12-04T08:53:47.6671258Z 2025-12-04T08:53:47.6671378Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6671870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6672334Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6672743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6673135Z x = stage(x) 2025-12-04T08:53:47.6673496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6673886Z out = F.relu_(out) 2025-12-04T08:53:47.6674000Z 2025-12-04T08:53:47.6674109Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6674611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6675087Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6675495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6675884Z x = stage(x) 2025-12-04T08:53:47.6676241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6676628Z out = self.conv1(x) 2025-12-04T08:53:47.6676981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6677349Z x = F.conv2d( 2025-12-04T08:53:47.6677445Z 2025-12-04T08:53:47.6677555Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6678056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6678539Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6678949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6679331Z x = stage(x) 2025-12-04T08:53:47.6679691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6680082Z out = F.relu_(out) 2025-12-04T08:53:47.6680190Z 2025-12-04T08:53:47.6680311Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6680808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6681386Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6681803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6682184Z x = stage(x) 2025-12-04T08:53:47.6682543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6683003Z out = self.conv2(out) 2025-12-04T08:53:47.6683359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6683719Z x = F.conv2d( 2025-12-04T08:53:47.6683822Z 2025-12-04T08:53:47.6683932Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6684475Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6684958Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6685363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6685760Z x = stage(x) 2025-12-04T08:53:47.6686118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6686516Z out = F.relu_(out) 2025-12-04T08:53:47.6686633Z 2025-12-04T08:53:47.6686746Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6687256Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6687740Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6688147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6688541Z x = stage(x) 2025-12-04T08:53:47.6688902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6689302Z out = self.conv3(out) 2025-12-04T08:53:47.6689660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6690030Z x = F.conv2d( 2025-12-04T08:53:47.6690124Z 2025-12-04T08:53:47.6690245Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6690742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6691254Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6691672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6692076Z x = stage(x) 2025-12-04T08:53:47.6692431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6692828Z out = F.relu_(out) 2025-12-04T08:53:47.6692934Z 2025-12-04T08:53:47.6693051Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6693551Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6694036Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6694453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6694853Z x = stage(x) 2025-12-04T08:53:47.6695210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6695617Z out = self.conv1(x) 2025-12-04T08:53:47.6695969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6696336Z x = F.conv2d( 2025-12-04T08:53:47.6696438Z 2025-12-04T08:53:47.6696548Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6697051Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6697531Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6697995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6698396Z x = stage(x) 2025-12-04T08:53:47.6698753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6699204Z out = F.relu_(out) 2025-12-04T08:53:47.6699311Z 2025-12-04T08:53:47.6699421Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6699919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6700398Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6700793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6701191Z x = stage(x) 2025-12-04T08:53:47.6701548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6701940Z out = self.conv2(out) 2025-12-04T08:53:47.6702288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6702654Z x = F.conv2d( 2025-12-04T08:53:47.6702753Z 2025-12-04T08:53:47.6702869Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6703366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6704157Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6704567Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6704967Z x = stage(x) 2025-12-04T08:53:47.6705317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6705728Z out = F.relu_(out) 2025-12-04T08:53:47.6705844Z 2025-12-04T08:53:47.6705954Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6706455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6706932Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6707341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6707740Z x = stage(x) 2025-12-04T08:53:47.6708088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6708498Z out = self.conv3(out) 2025-12-04T08:53:47.6708851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6709217Z x = F.conv2d( 2025-12-04T08:53:47.6709314Z 2025-12-04T08:53:47.6709423Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6709925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6710399Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6710802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6711182Z x = stage(x) 2025-12-04T08:53:47.6711535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6711933Z out = F.relu_(out) 2025-12-04T08:53:47.6712038Z 2025-12-04T08:53:47.6712146Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6712850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6713335Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6713744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6714126Z x = stage(x) 2025-12-04T08:53:47.6714544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6714946Z out = self.conv1(x) 2025-12-04T08:53:47.6715291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6715664Z x = F.conv2d( 2025-12-04T08:53:47.6715767Z 2025-12-04T08:53:47.6715878Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6716384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6716861Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6717274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6717664Z x = stage(x) 2025-12-04T08:53:47.6718022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6718412Z out = F.relu_(out) 2025-12-04T08:53:47.6718523Z 2025-12-04T08:53:47.6718632Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6719137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6719609Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6720017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6720407Z x = stage(x) 2025-12-04T08:53:47.6720766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6721156Z out = self.conv2(out) 2025-12-04T08:53:47.6721674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6722057Z x = F.conv2d( 2025-12-04T08:53:47.6722154Z 2025-12-04T08:53:47.6722272Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6722772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6723255Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6723667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6724065Z x = stage(x) 2025-12-04T08:53:47.6724428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6724828Z out = F.relu_(out) 2025-12-04T08:53:47.6724936Z 2025-12-04T08:53:47.6725056Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6725552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6726035Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6726449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6726849Z x = stage(x) 2025-12-04T08:53:47.6727203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6727611Z out = self.conv3(out) 2025-12-04T08:53:47.6728047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6728408Z x = F.conv2d( 2025-12-04T08:53:47.6728513Z 2025-12-04T08:53:47.6728622Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6729125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6729644Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6730064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6730464Z x = stage(x) 2025-12-04T08:53:47.6730823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6731216Z out = F.relu_(out) 2025-12-04T08:53:47.6731331Z 2025-12-04T08:53:47.6731439Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6731945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6732423Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6732824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6732899Z x = stage(x) 2025-12-04T08:53:47.6733157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6733228Z out = self.conv1(x) 2025-12-04T08:53:47.6733471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6733536Z x = F.conv2d( 2025-12-04T08:53:47.6733539Z 2025-12-04T08:53:47.6733658Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6733987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6734074Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6734340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6734403Z x = stage(x) 2025-12-04T08:53:47.6734668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6734739Z out = F.relu_(out) 2025-12-04T08:53:47.6734743Z 2025-12-04T08:53:47.6734853Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6735187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6735274Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6735541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6735604Z x = stage(x) 2025-12-04T08:53:47.6735860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6735936Z out = self.conv2(out) 2025-12-04T08:53:47.6736174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6736239Z x = F.conv2d( 2025-12-04T08:53:47.6736242Z 2025-12-04T08:53:47.6736357Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6736684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6736776Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6737031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6737140Z x = stage(x) 2025-12-04T08:53:47.6737402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6737469Z out = F.relu_(out) 2025-12-04T08:53:47.6737473Z 2025-12-04T08:53:47.6737581Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6737954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6738043Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6738307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6738371Z x = stage(x) 2025-12-04T08:53:47.6738630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6738707Z out = self.conv3(out) 2025-12-04T08:53:47.6738947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6739018Z x = F.conv2d( 2025-12-04T08:53:47.6739022Z 2025-12-04T08:53:47.6739131Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6739457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6739558Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6739817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6739880Z x = stage(x) 2025-12-04T08:53:47.6740145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6740217Z out = F.relu_(out) 2025-12-04T08:53:47.6740221Z 2025-12-04T08:53:47.6740340Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6740668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6740755Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6741022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6741089Z x = stage(x) 2025-12-04T08:53:47.6741356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6741427Z out = self.conv1(x) 2025-12-04T08:53:47.6741662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6741734Z x = F.conv2d( 2025-12-04T08:53:47.6741738Z 2025-12-04T08:53:47.6741848Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6742178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6742274Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6742534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6742610Z x = stage(x) 2025-12-04T08:53:47.6742869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6742937Z out = F.relu_(out) 2025-12-04T08:53:47.6742941Z 2025-12-04T08:53:47.6743059Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6743388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6743486Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6743887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6743953Z x = stage(x) 2025-12-04T08:53:47.6744219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6744333Z out = self.conv2(out) 2025-12-04T08:53:47.6744575Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6744649Z x = F.conv2d( 2025-12-04T08:53:47.6744653Z 2025-12-04T08:53:47.6744764Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6745107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6745196Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6745464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6745538Z x = stage(x) 2025-12-04T08:53:47.6745801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6745882Z out = F.relu_(out) 2025-12-04T08:53:47.6745888Z 2025-12-04T08:53:47.6745999Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6746337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6746436Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6746701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6746766Z x = stage(x) 2025-12-04T08:53:47.6747045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6747117Z out = self.conv3(out) 2025-12-04T08:53:47.6747366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6747429Z x = F.conv2d( 2025-12-04T08:53:47.6747433Z 2025-12-04T08:53:47.6747542Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6747890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6747979Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6748250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6748316Z x = stage(x) 2025-12-04T08:53:47.6748581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6748654Z out = F.relu_(out) 2025-12-04T08:53:47.6748661Z 2025-12-04T08:53:47.6748769Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6749101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6749200Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6749465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6749535Z x = stage(x) 2025-12-04T08:53:47.6749796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6749865Z out = self.conv1(x) 2025-12-04T08:53:47.6750112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6750176Z x = F.conv2d( 2025-12-04T08:53:47.6750179Z 2025-12-04T08:53:47.6750343Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6750669Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6750755Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6751073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6751137Z x = stage(x) 2025-12-04T08:53:47.6751394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6751470Z out = F.relu_(out) 2025-12-04T08:53:47.6751473Z 2025-12-04T08:53:47.6751583Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6751918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6752008Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6752268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6752338Z x = stage(x) 2025-12-04T08:53:47.6752604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6752682Z out = self.conv2(out) 2025-12-04T08:53:47.6752916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6752981Z x = F.conv2d( 2025-12-04T08:53:47.6752984Z 2025-12-04T08:53:47.6753101Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6753427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6753516Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6753796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6753859Z x = stage(x) 2025-12-04T08:53:47.6754131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6754201Z out = F.relu_(out) 2025-12-04T08:53:47.6754205Z 2025-12-04T08:53:47.6754312Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6754646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6754733Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6755009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6755071Z x = stage(x) 2025-12-04T08:53:47.6755340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6755417Z out = self.conv3(out) 2025-12-04T08:53:47.6755651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6755718Z x = F.conv2d( 2025-12-04T08:53:47.6755721Z 2025-12-04T08:53:47.6755836Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6756165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6756261Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6756532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6756595Z x = stage(x) 2025-12-04T08:53:47.6756910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6756982Z out = F.relu_(out) 2025-12-04T08:53:47.6756986Z 2025-12-04T08:53:47.6757106Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6757435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6757561Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6757834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6757898Z x = stage(x) 2025-12-04T08:53:47.6758167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6758244Z out = self.conv1(x) 2025-12-04T08:53:47.6758480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6758554Z x = F.conv2d( 2025-12-04T08:53:47.6758558Z 2025-12-04T08:53:47.6758666Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6758997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6759099Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6759369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6759434Z x = stage(x) 2025-12-04T08:53:47.6759708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6759776Z out = F.relu_(out) 2025-12-04T08:53:47.6759779Z 2025-12-04T08:53:47.6759898Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6760232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6760321Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6760600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6760668Z x = stage(x) 2025-12-04T08:53:47.6760940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6761012Z out = self.conv2(out) 2025-12-04T08:53:47.6761394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6761500Z x = F.conv2d( 2025-12-04T08:53:47.6761505Z 2025-12-04T08:53:47.6761618Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6761951Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6762048Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6762306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6762380Z x = stage(x) 2025-12-04T08:53:47.6762642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6762713Z out = F.relu_(out) 2025-12-04T08:53:47.6762717Z 2025-12-04T08:53:47.6762835Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6763163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6763259Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6763517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6763638Z x = stage(x) 2025-12-04T08:53:47.6763908Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6763979Z out = self.conv3(out) 2025-12-04T08:53:47.6764216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6764342Z x = F.conv2d( 2025-12-04T08:53:47.6764345Z 2025-12-04T08:53:47.6764454Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6764794Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6764882Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6765144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6765216Z x = stage(x) 2025-12-04T08:53:47.6765483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6765557Z out = F.relu_(out) 2025-12-04T08:53:47.6765560Z 2025-12-04T08:53:47.6765668Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6766008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6766106Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6766370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6766433Z x = stage(x) 2025-12-04T08:53:47.6766703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6766774Z out = self.conv1(x) 2025-12-04T08:53:47.6767026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6767091Z x = F.conv2d( 2025-12-04T08:53:47.6767094Z 2025-12-04T08:53:47.6767203Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6767545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6767636Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6767906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6767969Z x = stage(x) 2025-12-04T08:53:47.6768230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6768305Z out = F.relu_(out) 2025-12-04T08:53:47.6768309Z 2025-12-04T08:53:47.6768416Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6768751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6768844Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6769107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6769179Z x = stage(x) 2025-12-04T08:53:47.6769443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6769513Z out = self.conv2(out) 2025-12-04T08:53:47.6769762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6769826Z x = F.conv2d( 2025-12-04T08:53:47.6769829Z 2025-12-04T08:53:47.6769944Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6770323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6770412Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6770673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6770775Z x = stage(x) 2025-12-04T08:53:47.6771035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6771109Z out = F.relu_(out) 2025-12-04T08:53:47.6771112Z 2025-12-04T08:53:47.6771221Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6771557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6771643Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6771907Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6771976Z x = stage(x) 2025-12-04T08:53:47.6772235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6772312Z out = self.conv3(out) 2025-12-04T08:53:47.6772551Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6772614Z x = F.conv2d( 2025-12-04T08:53:47.6772617Z 2025-12-04T08:53:47.6772733Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6773065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6773153Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6773422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6773485Z x = stage(x) 2025-12-04T08:53:47.6773751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6773820Z out = F.relu_(out) 2025-12-04T08:53:47.6773823Z 2025-12-04T08:53:47.6773935Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6774270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6774358Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6774626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6774690Z x = stage(x) 2025-12-04T08:53:47.6774950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6775031Z out = self.conv1(x) 2025-12-04T08:53:47.6775269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6775334Z x = F.conv2d( 2025-12-04T08:53:47.6775337Z 2025-12-04T08:53:47.6775455Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6775788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6775882Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6776142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6776205Z x = stage(x) 2025-12-04T08:53:47.6776474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6776540Z out = F.relu_(out) 2025-12-04T08:53:47.6776543Z 2025-12-04T08:53:47.6776701Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6777029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6777115Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6777435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6777499Z x = stage(x) 2025-12-04T08:53:47.6777758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6777837Z out = self.conv2(out) 2025-12-04T08:53:47.6778071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6778142Z x = F.conv2d( 2025-12-04T08:53:47.6778146Z 2025-12-04T08:53:47.6778256Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6778584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6778676Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6778932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6779005Z x = stage(x) 2025-12-04T08:53:47.6779264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6779332Z out = F.relu_(out) 2025-12-04T08:53:47.6779336Z 2025-12-04T08:53:47.6779450Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6779777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6779864Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6780129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6780193Z x = stage(x) 2025-12-04T08:53:47.6780459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6780533Z out = self.conv3(out) 2025-12-04T08:53:47.6780770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6780842Z x = F.conv2d( 2025-12-04T08:53:47.6780846Z 2025-12-04T08:53:47.6780953Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6781288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6781374Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6781633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6781703Z x = stage(x) 2025-12-04T08:53:47.6781961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6782032Z out = F.relu_(out) 2025-12-04T08:53:47.6782035Z 2025-12-04T08:53:47.6782151Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6782479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6782571Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6782830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6782894Z x = stage(x) 2025-12-04T08:53:47.6783203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6783274Z out = self.conv1(x) 2025-12-04T08:53:47.6783512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6783583Z x = F.conv2d( 2025-12-04T08:53:47.6783630Z 2025-12-04T08:53:47.6783737Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6784065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6784152Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6784407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6784477Z x = stage(x) 2025-12-04T08:53:47.6784732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6784812Z out = F.relu_(out) 2025-12-04T08:53:47.6784815Z 2025-12-04T08:53:47.6784923Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6785248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6785347Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6785605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6785674Z x = stage(x) 2025-12-04T08:53:47.6785931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6786000Z out = self.conv2(out) 2025-12-04T08:53:47.6786238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6786301Z x = F.conv2d( 2025-12-04T08:53:47.6786307Z 2025-12-04T08:53:47.6786415Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6786745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6786831Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6787099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6787162Z x = stage(x) 2025-12-04T08:53:47.6787418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6787493Z out = F.relu_(out) 2025-12-04T08:53:47.6787496Z 2025-12-04T08:53:47.6787603Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6787929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6788023Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6788279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6788350Z x = stage(x) 2025-12-04T08:53:47.6788609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6788679Z out = self.conv3(out) 2025-12-04T08:53:47.6788923Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6788986Z x = F.conv2d( 2025-12-04T08:53:47.6788989Z 2025-12-04T08:53:47.6789104Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6789428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6789560Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6789830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6789894Z x = stage(x) 2025-12-04T08:53:47.6790151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6790273Z out = F.relu_(out) 2025-12-04T08:53:47.6790276Z 2025-12-04T08:53:47.6790385Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6790720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6790807Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6791067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6791139Z x = stage(x) 2025-12-04T08:53:47.6791403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6791481Z out = self.conv1(x) 2025-12-04T08:53:47.6791718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6791786Z x = F.conv2d( 2025-12-04T08:53:47.6791789Z 2025-12-04T08:53:47.6791908Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6792238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6792325Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6792589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6792653Z x = stage(x) 2025-12-04T08:53:47.6792924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6792993Z out = F.relu_(out) 2025-12-04T08:53:47.6792996Z 2025-12-04T08:53:47.6793105Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6793439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6793528Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6793802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6793865Z x = stage(x) 2025-12-04T08:53:47.6794135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6794234Z out = self.conv2(out) 2025-12-04T08:53:47.6794471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6794535Z x = F.conv2d( 2025-12-04T08:53:47.6794538Z 2025-12-04T08:53:47.6794655Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6794984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6795082Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6795350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6795412Z x = stage(x) 2025-12-04T08:53:47.6795697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6795765Z out = F.relu_(out) 2025-12-04T08:53:47.6795769Z 2025-12-04T08:53:47.6795885Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6796264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6796353Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6796624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6796731Z x = stage(x) 2025-12-04T08:53:47.6797004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6797081Z out = self.conv3(out) 2025-12-04T08:53:47.6797321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6797392Z x = F.conv2d( 2025-12-04T08:53:47.6797395Z 2025-12-04T08:53:47.6797506Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6797841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6797937Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6798211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6798284Z x = stage(x) 2025-12-04T08:53:47.6798555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6798621Z out = F.relu_(out) 2025-12-04T08:53:47.6798624Z 2025-12-04T08:53:47.6798741Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6799075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6799161Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6799442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6799504Z x = stage(x) 2025-12-04T08:53:47.6799782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6799850Z out = self.conv1(x) 2025-12-04T08:53:47.6800088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6800163Z x = F.conv2d( 2025-12-04T08:53:47.6800167Z 2025-12-04T08:53:47.6800276Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6800620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6800708Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6800980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6801052Z x = stage(x) 2025-12-04T08:53:47.6801417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6801491Z out = F.relu_(out) 2025-12-04T08:53:47.6801495Z 2025-12-04T08:53:47.6801615Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6801945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6802040Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6802310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6802374Z x = stage(x) 2025-12-04T08:53:47.6802640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6802713Z out = self.conv2(out) 2025-12-04T08:53:47.6803014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6803081Z x = F.conv2d( 2025-12-04T08:53:47.6803084Z 2025-12-04T08:53:47.6803195Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6803721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6803917Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6804180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6804250Z x = stage(x) 2025-12-04T08:53:47.6804505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6804577Z out = F.relu_(out) 2025-12-04T08:53:47.6804581Z 2025-12-04T08:53:47.6804693Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6805020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6805117Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6805374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6805447Z x = stage(x) 2025-12-04T08:53:47.6805704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6805775Z out = self.conv3(out) 2025-12-04T08:53:47.6806019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6806083Z x = F.conv2d( 2025-12-04T08:53:47.6806086Z 2025-12-04T08:53:47.6806196Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6806532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6806621Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6806888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6806955Z x = stage(x) 2025-12-04T08:53:47.6807212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6807292Z out = F.relu_(out) 2025-12-04T08:53:47.6807295Z 2025-12-04T08:53:47.6807403Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6807741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6807829Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6808089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6808159Z x = stage(x) 2025-12-04T08:53:47.6808414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:53:47.6808485Z out = self.conv1(x) 2025-12-04T08:53:47.6808729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6808793Z x = F.conv2d( 2025-12-04T08:53:47.6808797Z 2025-12-04T08:53:47.6808911Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6809237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6809324Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6809650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6809716Z x = stage(x) 2025-12-04T08:53:47.6809980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:53:47.6810055Z out = F.relu_(out) 2025-12-04T08:53:47.6810098Z 2025-12-04T08:53:47.6810205Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6810537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6810622Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6810877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6810950Z x = stage(x) 2025-12-04T08:53:47.6811208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:53:47.6811285Z out = self.conv2(out) 2025-12-04T08:53:47.6811519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6811582Z x = F.conv2d( 2025-12-04T08:53:47.6811585Z 2025-12-04T08:53:47.6811702Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6812032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6812127Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6812385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6812448Z x = stage(x) 2025-12-04T08:53:47.6812714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:53:47.6812782Z out = F.relu_(out) 2025-12-04T08:53:47.6812789Z 2025-12-04T08:53:47.6812897Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6813231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6813320Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6813586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6813650Z x = stage(x) 2025-12-04T08:53:47.6813906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:53:47.6813985Z out = self.conv3(out) 2025-12-04T08:53:47.6814222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:47.6814286Z x = F.conv2d( 2025-12-04T08:53:47.6814297Z 2025-12-04T08:53:47.6814408Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:47.6814736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:53:47.6814830Z features = self.backbone(images.tensor) 2025-12-04T08:53:47.6815090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:53:47.6815153Z x = stage(x) 2025-12-04T08:53:47.6815416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:53:47.6815482Z out = F.relu_(out) 2025-12-04T08:53:47.6815486Z 2025-12-04T08:53:57.2465117Z cudagraph partition due to non gpu ops 2025-12-04T08:53:57.2465505Z cudagraph partition due to non gpu ops 2025-12-04T08:53:57.2465743Z cudagraph partition due to non gpu ops 2025-12-04T08:53:57.2465973Z cudagraph partition due to non gpu ops 2025-12-04T08:53:57.2466671Z cudagraph partition due to non gpu ops 2025-12-04T08:53:57.2466913Z cudagraph partition due to non gpu ops 2025-12-04T08:53:57.2467196Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:57.2467728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:53:57.2468424Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:53:57.2468962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:53:57.2469406Z t = self.conv(x) 2025-12-04T08:53:57.2469763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:53:57.2470151Z x = F.conv2d( 2025-12-04T08:53:57.2470267Z 2025-12-04T08:53:57.2470384Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:57.2470868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:53:57.2471424Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:53:57.2471981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:53:57.2472405Z t = self.conv(x) 2025-12-04T08:53:57.2472749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T08:53:57.2473128Z x = self.activation(x) 2025-12-04T08:53:57.2473252Z 2025-12-04T08:53:57.2473363Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:57.2473805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:53:57.2474289Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:53:57.2474778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward 2025-12-04T08:53:57.2475249Z pred_objectness_logits.append(self.objectness_logits(t)) 2025-12-04T08:53:57.2475430Z 2025-12-04T08:53:57.2475547Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:57.2475989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:53:57.2476473Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:53:57.2476954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward 2025-12-04T08:53:57.2477393Z pred_anchor_deltas.append(self.anchor_deltas(t)) 2025-12-04T08:53:57.2477553Z 2025-12-04T08:53:57.2477660Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:57.2478117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:53:57.2478543Z anchors = self.anchor_generator(features) 2025-12-04T08:53:57.2478953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:53:57.2479459Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:53:57.2479957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T08:53:57.2480451Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T08:53:57.2480644Z 2025-12-04T08:53:57.2480753Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:57.2481295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward 2025-12-04T08:53:57.2481874Z pred_objectness_logits = [ 2025-12-04T08:53:57.2482383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in 2025-12-04T08:53:57.2482822Z score.permute(0, 2, 3, 1).flatten(1) 2025-12-04T08:53:57.2482971Z 2025-12-04T08:53:57.2483079Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:57.2483624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward 2025-12-04T08:53:57.2484049Z pred_anchor_deltas = [ 2025-12-04T08:53:57.2484446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in 2025-12-04T08:53:57.2484864Z .flatten(1, -2) 2025-12-04T08:53:57.2484968Z 2025-12-04T08:53:57.2485082Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:57.2485529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:53:57.2485952Z anchors = self.anchor_generator(features) 2025-12-04T08:53:57.2486363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:53:57.2486843Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:53:57.2487331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T08:53:57.2487817Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T08:53:57.2488035Z 2025-12-04T08:53:59.4562771Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:53:59.4563429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals 2025-12-04T08:53:59.4563981Z pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas) 2025-12-04T08:53:59.4564565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals 2025-12-04T08:53:59.4565296Z proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i) 2025-12-04T08:53:59.4565915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T08:53:59.4566419Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:53:59.4566606Z 2025-12-04T08:54:00.5770845Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:00.5771408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:54:00.5771915Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:54:00.5772164Z 2025-12-04T08:54:00.5772261Z cudagraph partition due to non gpu ops 2025-12-04T08:54:00.5772543Z cudagraph partition due to non gpu ops 2025-12-04T08:54:00.5772780Z cudagraph partition due to non gpu ops 2025-12-04T08:54:00.5773008Z cudagraph partition due to non gpu ops 2025-12-04T08:54:00.5773371Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:00.5773809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:54:00.5774248Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:54:00.5774419Z 2025-12-04T08:54:01.4262642Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:01.4263226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla 2025-12-04T08:54:01.4263710Z keep_mask = torch.zeros_like(scores, dtype=torch.bool) 2025-12-04T08:54:01.4263907Z 2025-12-04T08:54:02.1479927Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:02.1480921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__ 2025-12-04T08:54:02.1481442Z b = self.tensor[item] 2025-12-04T08:54:02.1481587Z 2025-12-04T08:54:02.8842122Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:02.8842677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:54:02.8843638Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:54:02.8843886Z 2025-12-04T08:54:02.8844016Z cudagraph partition due to non gpu ops 2025-12-04T08:54:02.8844250Z cudagraph partition due to non gpu ops 2025-12-04T08:54:02.8844483Z cudagraph partition due to non gpu ops 2025-12-04T08:54:02.8844710Z cudagraph partition due to non gpu ops 2025-12-04T08:54:02.8844966Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:02.8845399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:54:02.8845834Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:54:02.8846003Z 2025-12-04T08:54:03.6517359Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:03.6517899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:54:03.6518449Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:54:03.6518696Z 2025-12-04T08:54:03.6518794Z cudagraph partition due to non gpu ops 2025-12-04T08:54:03.6519036Z cudagraph partition due to non gpu ops 2025-12-04T08:54:03.6519255Z cudagraph partition due to non gpu ops 2025-12-04T08:54:03.6519479Z cudagraph partition due to non gpu ops 2025-12-04T08:54:03.6519737Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:03.6520162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:54:03.6520638Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:54:03.6520814Z 2025-12-04T08:54:04.3461642Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:04.3462211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__ 2025-12-04T08:54:04.3462739Z b = self.tensor[item] 2025-12-04T08:54:04.3462870Z 2025-12-04T08:54:05.7486849Z cudagraph partition due to non gpu ops 2025-12-04T08:54:05.7487179Z cudagraph partition due to non gpu ops 2025-12-04T08:54:05.7487436Z cudagraph partition due to non gpu ops 2025-12-04T08:54:05.7487802Z cudagraph partition due to non gpu ops 2025-12-04T08:54:05.7488082Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:05.7488623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format 2025-12-04T08:54:05.7489132Z sizes = shapes_to_tensor([x.__len__() for x in box_lists]) 2025-12-04T08:54:05.7489649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:54:05.7490082Z return torch.as_tensor(x, device=device) 2025-12-04T08:54:05.7490247Z 2025-12-04T08:54:05.7490369Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:05.7490873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format 2025-12-04T08:54:05.7491373Z boxes = torch.cat([x.tensor for x in box_lists], dim=0) 2025-12-04T08:54:05.7491561Z 2025-12-04T08:54:06.4101869Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:06.4102489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 67, in _convert_boxes_to_pooler_format 2025-12-04T08:54:06.4103034Z torch.arange(len(sizes), dtype=boxes.dtype, device=boxes.device), sizes 2025-12-04T08:54:06.4103295Z 2025-12-04T08:54:06.9708163Z cudagraph partition due to non gpu ops 2025-12-04T08:54:06.9708489Z cudagraph partition due to non gpu ops 2025-12-04T08:54:06.9708753Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:06.9709346Z 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 2025-12-04T08:54:06.9709981Z return cat([indices[:, None], boxes], dim=1) 2025-12-04T08:54:06.9710373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T08:54:06.9710756Z return torch.cat(tensors, dim) 2025-12-04T08:54:06.9710900Z 2025-12-04T08:54:07.5705743Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:07.5706735Z 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 2025-12-04T08:54:07.5707678Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T08:54:07.5708496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:54:07.5709192Z return roi_align( 2025-12-04T08:54:07.5709808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:54:07.5710534Z return torch.ops.torchvision.roi_align( 2025-12-04T08:54:07.5710803Z 2025-12-04T08:54:07.5711001Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:07.5711910Z 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 2025-12-04T08:54:07.5712754Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T08:54:07.5713484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:54:07.5714078Z return roi_align( 2025-12-04T08:54:07.5714663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:54:07.5715362Z return torch.ops.torchvision.roi_align( 2025-12-04T08:54:07.5715618Z 2025-12-04T08:54:11.4281816Z cudagraph partition due to non gpu ops 2025-12-04T08:54:11.4282139Z cudagraph partition due to non gpu ops 2025-12-04T08:54:11.4282420Z cudagraph partition due to non gpu ops 2025-12-04T08:54:11.4282680Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4283275Z 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 2025-12-04T08:54:11.4283784Z return self.res5(x) 2025-12-04T08:54:11.4284189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:11.4284595Z out = self.conv1(x) 2025-12-04T08:54:11.4284971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:11.4285347Z x = F.conv2d( 2025-12-04T08:54:11.4285453Z 2025-12-04T08:54:11.4285577Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4286108Z 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 2025-12-04T08:54:11.4286618Z return self.res5(x) 2025-12-04T08:54:11.4287000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:11.4287392Z out = F.relu_(out) 2025-12-04T08:54:11.4287512Z 2025-12-04T08:54:11.4287621Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4288159Z 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 2025-12-04T08:54:11.4289011Z return self.res5(x) 2025-12-04T08:54:11.4289392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:11.4289795Z out = self.conv2(out) 2025-12-04T08:54:11.4290157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:11.4290636Z x = F.conv2d( 2025-12-04T08:54:11.4290734Z 2025-12-04T08:54:11.4290842Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4291382Z 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 2025-12-04T08:54:11.4291870Z return self.res5(x) 2025-12-04T08:54:11.4292237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:11.4296899Z out = F.relu_(out) 2025-12-04T08:54:11.4297018Z 2025-12-04T08:54:11.4297140Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4297720Z 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 2025-12-04T08:54:11.4298224Z return self.res5(x) 2025-12-04T08:54:11.4298612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:11.4299023Z out = self.conv3(out) 2025-12-04T08:54:11.4299385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:11.4299752Z x = F.conv2d( 2025-12-04T08:54:11.4299861Z 2025-12-04T08:54:11.4299973Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4300534Z 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 2025-12-04T08:54:11.4301145Z return self.res5(x) 2025-12-04T08:54:11.4301529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:54:11.4301950Z shortcut = self.shortcut(x) 2025-12-04T08:54:11.4302344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:11.4302718Z x = F.conv2d( 2025-12-04T08:54:11.4302824Z 2025-12-04T08:54:11.4302936Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4303723Z 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 2025-12-04T08:54:11.4304219Z return self.res5(x) 2025-12-04T08:54:11.4304594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:11.4305002Z out = self.conv1(x) 2025-12-04T08:54:11.4305348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:11.4305720Z x = F.conv2d( 2025-12-04T08:54:11.4305823Z 2025-12-04T08:54:11.4305933Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4306468Z 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 2025-12-04T08:54:11.4306955Z return self.res5(x) 2025-12-04T08:54:11.4307322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:11.4307719Z out = F.relu_(out) 2025-12-04T08:54:11.4307826Z 2025-12-04T08:54:11.4307938Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4308587Z 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 2025-12-04T08:54:11.4309078Z return self.res5(x) 2025-12-04T08:54:11.4309456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:11.4309893Z out = self.conv2(out) 2025-12-04T08:54:11.4310241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:11.4310617Z x = F.conv2d( 2025-12-04T08:54:11.4310715Z 2025-12-04T08:54:11.4310834Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4311368Z 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 2025-12-04T08:54:11.4311857Z return self.res5(x) 2025-12-04T08:54:11.4312237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:11.4312737Z out = F.relu_(out) 2025-12-04T08:54:11.4312841Z 2025-12-04T08:54:11.4312948Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4313461Z 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 2025-12-04T08:54:11.4313939Z return self.res5(x) 2025-12-04T08:54:11.4314299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:11.4314689Z out = self.conv3(out) 2025-12-04T08:54:11.4315028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:11.4315382Z x = F.conv2d( 2025-12-04T08:54:11.4315473Z 2025-12-04T08:54:11.4315589Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4316103Z 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 2025-12-04T08:54:11.4316575Z return self.res5(x) 2025-12-04T08:54:11.4316930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:11.4317313Z out = F.relu_(out) 2025-12-04T08:54:11.4317424Z 2025-12-04T08:54:11.4317529Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4318043Z 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 2025-12-04T08:54:11.4318519Z return self.res5(x) 2025-12-04T08:54:11.4318869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:54:11.4319430Z out = self.conv1(x) 2025-12-04T08:54:11.4319778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:11.4320131Z x = F.conv2d( 2025-12-04T08:54:11.4320235Z 2025-12-04T08:54:11.4320342Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4320872Z 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 2025-12-04T08:54:11.4321783Z return self.res5(x) 2025-12-04T08:54:11.4322184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:54:11.4322592Z out = F.relu_(out) 2025-12-04T08:54:11.4322706Z 2025-12-04T08:54:11.4322826Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4323348Z 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 2025-12-04T08:54:11.4323885Z return self.res5(x) 2025-12-04T08:54:11.4324244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:54:11.4324635Z out = self.conv2(out) 2025-12-04T08:54:11.4324977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:11.4325358Z x = F.conv2d( 2025-12-04T08:54:11.4325460Z 2025-12-04T08:54:11.4325570Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4326100Z 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 2025-12-04T08:54:11.4326581Z return self.res5(x) 2025-12-04T08:54:11.4326952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:54:11.4327377Z out = F.relu_(out) 2025-12-04T08:54:11.4327488Z 2025-12-04T08:54:11.4327605Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4328122Z 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 2025-12-04T08:54:11.4328604Z return self.res5(x) 2025-12-04T08:54:11.4328971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:54:11.4329358Z out = self.conv3(out) 2025-12-04T08:54:11.4329709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:54:11.4330071Z x = F.conv2d( 2025-12-04T08:54:11.4330168Z 2025-12-04T08:54:11.4330287Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:11.4330806Z 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 2025-12-04T08:54:11.4331289Z return self.res5(x) 2025-12-04T08:54:11.4331657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:54:11.4332045Z out = F.relu_(out) 2025-12-04T08:54:11.4332153Z 2025-12-04T08:54:23.3587731Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:23.3588445Z 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 2025-12-04T08:54:23.3589000Z predictions = self.box_predictor(box_features.mean(dim=[2, 3])) 2025-12-04T08:54:23.3589491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward 2025-12-04T08:54:23.3589920Z scores = self.cls_score(x) 2025-12-04T08:54:23.3590058Z 2025-12-04T08:54:23.3590221Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:23.3590741Z 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 2025-12-04T08:54:23.3591278Z predictions = self.box_predictor(box_features.mean(dim=[2, 3])) 2025-12-04T08:54:23.3591747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward 2025-12-04T08:54:23.3592164Z proposal_deltas = self.bbox_pred(x) 2025-12-04T08:54:23.3592317Z 2025-12-04T08:54:24.9234542Z cudagraph partition due to non gpu ops 2025-12-04T08:54:24.9234874Z cudagraph partition due to non gpu ops 2025-12-04T08:54:24.9235108Z cudagraph partition due to non gpu ops 2025-12-04T08:54:24.9235334Z cudagraph partition due to non gpu ops 2025-12-04T08:54:24.9235594Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:24.9236516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T08:54:24.9237039Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T08:54:24.9237520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes 2025-12-04T08:54:24.9238056Z proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0) 2025-12-04T08:54:24.9238583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T08:54:24.9238977Z return torch.cat(tensors, dim) 2025-12-04T08:54:24.9239124Z 2025-12-04T08:54:24.9239242Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:24.9239724Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T08:54:24.9240190Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T08:54:24.9240656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes 2025-12-04T08:54:24.9241440Z predict_boxes = self.box2box_transform.apply_deltas( 2025-12-04T08:54:24.9241956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T08:54:24.9242407Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:54:24.9242571Z 2025-12-04T08:54:26.4226127Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:26.4226850Z 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 2025-12-04T08:54:26.4227519Z valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1) 2025-12-04T08:54:26.4227799Z 2025-12-04T08:54:26.4227931Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:26.4228519Z 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 2025-12-04T08:54:26.4229168Z valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1) 2025-12-04T08:54:26.4229412Z 2025-12-04T08:54:26.4229529Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:26.4230041Z 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 2025-12-04T08:54:26.4230515Z if not valid_mask.all(): 2025-12-04T08:54:26.4230639Z 2025-12-04T08:54:27.3351235Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:27.3351967Z 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 2025-12-04T08:54:27.3352531Z boxes.clip(image_shape) 2025-12-04T08:54:27.3352972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:54:27.3353484Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:54:27.3353734Z 2025-12-04T08:54:27.3353855Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:27.3354493Z 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 2025-12-04T08:54:27.3355053Z filter_mask = scores > score_thresh # R x K 2025-12-04T08:54:27.3355208Z 2025-12-04T08:54:27.3355300Z cudagraph partition due to non gpu ops 2025-12-04T08:54:27.3355528Z cudagraph partition due to non gpu ops 2025-12-04T08:54:27.3355748Z cudagraph partition due to non gpu ops 2025-12-04T08:54:27.3355965Z cudagraph partition due to non gpu ops 2025-12-04T08:54:27.3356204Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:27.3357153Z 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 2025-12-04T08:54:27.3357695Z boxes.clip(image_shape) 2025-12-04T08:54:27.3358063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:54:27.3358546Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:54:27.3358721Z 2025-12-04T08:54:28.7722144Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:28.7722723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick 2025-12-04T08:54:28.7723178Z max_coordinate = boxes.max() 2025-12-04T08:54:28.7723336Z 2025-12-04T08:54:28.7723456Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:28.7723976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick 2025-12-04T08:54:28.7724802Z boxes_for_nms = boxes + offsets[:, None] 2025-12-04T08:54:28.7724955Z 2025-12-04T08:54:29.5458362Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:29.5459100Z 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 2025-12-04T08:54:29.5459812Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:54:29.5460038Z 2025-12-04T08:54:29.5460172Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:29.5460778Z 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 2025-12-04T08:54:29.5461394Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:54:29.5461625Z 2025-12-04T08:54:29.5461752Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:29.5462348Z 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 2025-12-04T08:54:29.5462968Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:54:29.5463184Z 2025-12-04T08:54:30.4878255Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:30.4878954Z 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 2025-12-04T08:54:30.4879509Z boxes.clip(image_shape) 2025-12-04T08:54:30.4879893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:54:30.4880372Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:54:30.4880671Z 2025-12-04T08:54:30.4880790Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:30.4881709Z 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 2025-12-04T08:54:30.4882295Z filter_mask = scores > score_thresh # R x K 2025-12-04T08:54:30.4882458Z 2025-12-04T08:54:30.4882560Z cudagraph partition due to non gpu ops 2025-12-04T08:54:30.4882805Z cudagraph partition due to non gpu ops 2025-12-04T08:54:30.4883034Z cudagraph partition due to non gpu ops 2025-12-04T08:54:30.4883253Z cudagraph partition due to non gpu ops 2025-12-04T08:54:30.4883514Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:30.4884087Z 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 2025-12-04T08:54:30.4885156Z boxes.clip(image_shape) 2025-12-04T08:54:30.4885529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:54:30.4885946Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:54:30.4886109Z 2025-12-04T08:54:31.8849032Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:31.8850021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick 2025-12-04T08:54:31.8850473Z max_coordinate = boxes.max() 2025-12-04T08:54:31.8850611Z 2025-12-04T08:54:31.8850736Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:31.8851199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick 2025-12-04T08:54:31.8851648Z boxes_for_nms = boxes + offsets[:, None] 2025-12-04T08:54:31.8851805Z 2025-12-04T08:54:33.3770824Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:33.3771944Z 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 2025-12-04T08:54:33.3772580Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:54:33.3772815Z 2025-12-04T08:54:33.3772944Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:33.3773539Z 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 2025-12-04T08:54:33.3774147Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:54:33.3774368Z 2025-12-04T08:54:33.3774480Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:33.3775070Z 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 2025-12-04T08:54:33.3775681Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:54:33.3775932Z 2025-12-04T08:54:34.6919512Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:34.6920182Z 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 2025-12-04T08:54:34.6920807Z valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1) 2025-12-04T08:54:34.6921044Z 2025-12-04T08:54:34.6921535Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:34.6922078Z 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 2025-12-04T08:54:34.6922647Z valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1) 2025-12-04T08:54:34.6922902Z 2025-12-04T08:54:34.6923030Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:34.6923553Z 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 2025-12-04T08:54:34.6924021Z if not valid_mask.all(): 2025-12-04T08:54:34.6924160Z 2025-12-04T08:54:36.8834701Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:36.8835627Z 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 2025-12-04T08:54:36.8836198Z boxes.clip(image_shape) 2025-12-04T08:54:36.8836855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:54:36.8838042Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:54:36.8838382Z 2025-12-04T08:54:36.8839035Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:36.8839681Z 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 2025-12-04T08:54:36.8840262Z filter_mask = scores > score_thresh # R x K 2025-12-04T08:54:36.8840509Z 2025-12-04T08:54:36.8840604Z cudagraph partition due to non gpu ops 2025-12-04T08:54:36.8840849Z cudagraph partition due to non gpu ops 2025-12-04T08:54:36.8841077Z cudagraph partition due to non gpu ops 2025-12-04T08:54:36.8841776Z cudagraph partition due to non gpu ops 2025-12-04T08:54:36.8842035Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:36.8842645Z 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 2025-12-04T08:54:36.8843184Z boxes.clip(image_shape) 2025-12-04T08:54:36.8843681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:54:36.8844112Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:54:36.8844280Z 2025-12-04T08:54:38.9654240Z cudagraph partition due to non gpu ops 2025-12-04T08:54:38.9654641Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:38.9655230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:54:38.9655721Z output_boxes.clip(results.image_size) 2025-12-04T08:54:38.9656138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:54:38.9656626Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:54:38.9656874Z 2025-12-04T08:54:38.9656966Z cudagraph partition due to non gpu ops 2025-12-04T08:54:38.9657210Z cudagraph partition due to non gpu ops 2025-12-04T08:54:38.9657488Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:38.9657985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:54:38.9658478Z output_boxes.clip(results.image_size) 2025-12-04T08:54:38.9658864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:54:38.9659280Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:54:38.9659448Z 2025-12-04T08:54:38.9659562Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:38.9660060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:54:38.9660534Z results = results[output_boxes.nonempty()] 2025-12-04T08:54:38.9660947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T08:54:38.9661380Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T08:54:38.9661582Z 2025-12-04T08:54:43.2896384Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:43.2897387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:54:43.2898277Z results = results[output_boxes.nonempty()] 2025-12-04T08:54:43.2898563Z 2025-12-04T08:54:43.2898772Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:43.2899654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:54:43.2900493Z results = results[output_boxes.nonempty()] 2025-12-04T08:54:43.2900756Z 2025-12-04T08:54:43.2900912Z cudagraph partition due to non gpu ops 2025-12-04T08:54:43.2901344Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:43.2902672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:54:43.2903816Z output_boxes.clip(results.image_size) 2025-12-04T08:54:43.2904518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:54:43.2905444Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:54:43.2905854Z 2025-12-04T08:54:43.2905988Z cudagraph partition due to non gpu ops 2025-12-04T08:54:43.2906378Z cudagraph partition due to non gpu ops 2025-12-04T08:54:43.2906824Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:43.2907719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:54:43.2908570Z output_boxes.clip(results.image_size) 2025-12-04T08:54:43.2909287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:54:43.2910143Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:54:43.2910461Z 2025-12-04T08:54:43.2910660Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:43.2911558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:54:43.2912412Z results = results[output_boxes.nonempty()] 2025-12-04T08:54:43.2913106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T08:54:43.2913850Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T08:54:43.2914147Z 2025-12-04T08:54:46.7717976Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:46.7718605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:54:46.7719150Z results = results[output_boxes.nonempty()] 2025-12-04T08:54:46.7719313Z 2025-12-04T08:54:46.7719439Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:46.7719936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:54:46.7720419Z results = results[output_boxes.nonempty()] 2025-12-04T08:54:46.7720590Z 2025-12-04T08:54:46.7720682Z cudagraph partition due to non gpu ops 2025-12-04T08:54:46.7720952Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:46.7721513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:54:46.7721990Z output_boxes.clip(results.image_size) 2025-12-04T08:54:46.7722391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:54:46.7722884Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:54:46.7723130Z 2025-12-04T08:54:46.7723218Z cudagraph partition due to non gpu ops 2025-12-04T08:54:46.7723460Z cudagraph partition due to non gpu ops 2025-12-04T08:54:46.7723726Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:46.7724215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:54:46.7724682Z output_boxes.clip(results.image_size) 2025-12-04T08:54:46.7725078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:54:46.7725506Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:54:46.7725675Z 2025-12-04T08:54:46.7725786Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:54:46.7726686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:54:46.7727182Z results = results[output_boxes.nonempty()] 2025-12-04T08:54:46.7727600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T08:54:46.7728040Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T08:54:46.7728272Z 2025-12-04T08:55:03.9710129Z Compilation time (from dynamo_timed): 72.947601185 2025-12-04T08:55:03.9710464Z pass 2025-12-04T08:55:03.9710793Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:55:03.9715241Z TIMING: gc:0.054 entire_frame_compile:72.9476 _recursive_pre_grad_passes:0.03332 _recursive_joint_graph_passes:0.32862 _recursive_post_grad_passes:0.77453 async_compile.wait:17.52404 code_gen:33.79361 inductor_compile:41.00208 backend_compile:52.63237 total_wall_time:72.9476 2025-12-04T08:55:03.9716485Z STATS: call_* op count: 776 | FakeTensorMode.__torch_dispatch__:21721 | FakeTensor.__torch_dispatch__:13685 | ProxyTorchDispatchMode.__torch_dispatch__:6753 | attempt fast:78 | slow no contiguity match:42 | fast is_contiguous:36 2025-12-04T08:55:03.9717463Z Dynamo produced 53 graphs covering 776 ops with 42 graph breaks (6 unique) 2025-12-04T08:55:07.7223957Z /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. 2025-12-04T08:55:07.7224896Z import pynvml # type: ignore[import] 2025-12-04T08:55:10.2843887Z 2025-12-04T08:55:29.5197471Z loading model: 0it [00:00, ?it/s]W1204 08:55:29.518000 5514 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. 2025-12-04T08:55:34.1266479Z 2025-12-04T08:55:34.1267307Z loading model: 0it [00:23, ?it/s] 2025-12-04T08:55:34.1287497Z cpu eval detectron2_fasterrcnn_r_101_dc5 2025-12-04T08:55:54.4722683Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_101_dc5. Setting accuracy check to cosine 2025-12-04T08:55:54.4838548Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:56:19.4227294Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:56:44.1896840Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:57:12.0597292Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0597776Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0598142Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0598489Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0598895Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0599245Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0599597Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0599948Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0600300Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0600682Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0601021Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0601519Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0601897Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0602215Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0602577Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0602921Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0603252Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0603787Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0604147Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0605078Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0605421Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0605760Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0606168Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0606514Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0606940Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0607261Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0607608Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0607950Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0608287Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0608621Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0608969Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0609306Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0609634Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0609973Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0610404Z cudagraph partition due to non gpu ops 2025-12-04T08:57:12.0610809Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0611723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0612542Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0613242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:57:12.0613888Z x = self.stem(x) 2025-12-04T08:57:12.0614502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward 2025-12-04T08:57:12.0615185Z x = self.conv1(x) 2025-12-04T08:57:12.0615774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0616370Z x = F.conv2d( 2025-12-04T08:57:12.0616532Z 2025-12-04T08:57:12.0616720Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0617561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0618338Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0619022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:57:12.0619676Z x = self.stem(x) 2025-12-04T08:57:12.0620279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward 2025-12-04T08:57:12.0620936Z x = F.relu_(x) 2025-12-04T08:57:12.0621107Z 2025-12-04T08:57:12.0621274Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0622099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0622903Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0623559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:57:12.0624205Z x = self.stem(x) 2025-12-04T08:57:12.0624789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward 2025-12-04T08:57:12.0625512Z x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1) 2025-12-04T08:57:12.0625797Z 2025-12-04T08:57:12.0625974Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0626799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0627620Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0628280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0629031Z x = stage(x) 2025-12-04T08:57:12.0629635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.0630279Z out = self.conv1(x) 2025-12-04T08:57:12.0630849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0631492Z x = F.conv2d( 2025-12-04T08:57:12.0631636Z 2025-12-04T08:57:12.0631954Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0632785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0633612Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0634289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0634958Z x = stage(x) 2025-12-04T08:57:12.0635582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.0636269Z out = F.relu_(out) 2025-12-04T08:57:12.0636426Z 2025-12-04T08:57:12.0636613Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0637453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0638272Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0638967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0639686Z x = stage(x) 2025-12-04T08:57:12.0640320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.0641032Z out = self.conv2(out) 2025-12-04T08:57:12.0641783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0642462Z x = F.conv2d( 2025-12-04T08:57:12.0642629Z 2025-12-04T08:57:12.0642816Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0643754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0644660Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0645379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0646039Z x = stage(x) 2025-12-04T08:57:12.0646658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.0647339Z out = F.relu_(out) 2025-12-04T08:57:12.0647509Z 2025-12-04T08:57:12.0647687Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0648568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0649380Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0650047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0650702Z x = stage(x) 2025-12-04T08:57:12.0651292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.0651935Z out = self.conv3(out) 2025-12-04T08:57:12.0652512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0653128Z x = F.conv2d( 2025-12-04T08:57:12.0653266Z 2025-12-04T08:57:12.0653455Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0654398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0655218Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0655930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0656628Z x = stage(x) 2025-12-04T08:57:12.0657227Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:57:12.0657931Z shortcut = self.shortcut(x) 2025-12-04T08:57:12.0658575Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0659202Z x = F.conv2d( 2025-12-04T08:57:12.0659355Z 2025-12-04T08:57:12.0659525Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0660409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0661277Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0661983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0662646Z x = stage(x) 2025-12-04T08:57:12.0663250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.0663916Z out = self.conv1(x) 2025-12-04T08:57:12.0664491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0665108Z x = F.conv2d( 2025-12-04T08:57:12.0665266Z 2025-12-04T08:57:12.0665447Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0666328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0667138Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0667844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0668537Z x = stage(x) 2025-12-04T08:57:12.0669149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.0669799Z out = F.relu_(out) 2025-12-04T08:57:12.0669984Z 2025-12-04T08:57:12.0670163Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0671013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0671828Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0672511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0673173Z x = stage(x) 2025-12-04T08:57:12.0673771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.0674440Z out = self.conv2(out) 2025-12-04T08:57:12.0675028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0675672Z x = F.conv2d( 2025-12-04T08:57:12.0675812Z 2025-12-04T08:57:12.0675994Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0676832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0677700Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0678398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0679056Z x = stage(x) 2025-12-04T08:57:12.0679710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.0680389Z out = F.relu_(out) 2025-12-04T08:57:12.0680561Z 2025-12-04T08:57:12.0680749Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0681683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0682604Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0683264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0683897Z x = stage(x) 2025-12-04T08:57:12.0684487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.0685161Z out = self.conv3(out) 2025-12-04T08:57:12.0685777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0686420Z x = F.conv2d( 2025-12-04T08:57:12.0686581Z 2025-12-04T08:57:12.0686767Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0687606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0688409Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0689023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0689632Z x = stage(x) 2025-12-04T08:57:12.0690155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.0690802Z out = F.relu_(out) 2025-12-04T08:57:12.0690991Z 2025-12-04T08:57:12.0691179Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0692125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0693021Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0693771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0694417Z x = stage(x) 2025-12-04T08:57:12.0694947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.0695569Z out = self.conv1(x) 2025-12-04T08:57:12.0696135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0696743Z x = F.conv2d( 2025-12-04T08:57:12.0696886Z 2025-12-04T08:57:12.0697064Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0697931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0698774Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0699481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0700160Z x = stage(x) 2025-12-04T08:57:12.0700765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.0701413Z out = F.relu_(out) 2025-12-04T08:57:12.0701572Z 2025-12-04T08:57:12.0701733Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0702509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0703365Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0704511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0705176Z x = stage(x) 2025-12-04T08:57:12.0705753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.0706420Z out = self.conv2(out) 2025-12-04T08:57:12.0707065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0707685Z x = F.conv2d( 2025-12-04T08:57:12.0707847Z 2025-12-04T08:57:12.0708024Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0708892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0709699Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0710369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0711080Z x = stage(x) 2025-12-04T08:57:12.0711670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.0712305Z out = F.relu_(out) 2025-12-04T08:57:12.0712460Z 2025-12-04T08:57:12.0712618Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0713472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0714263Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0714913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0715547Z x = stage(x) 2025-12-04T08:57:12.0716139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.0716818Z out = self.conv3(out) 2025-12-04T08:57:12.0717419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0718031Z x = F.conv2d( 2025-12-04T08:57:12.0718180Z 2025-12-04T08:57:12.0718364Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0719193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0719973Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0720644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0721388Z x = stage(x) 2025-12-04T08:57:12.0722000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.0722669Z out = F.relu_(out) 2025-12-04T08:57:12.0722842Z 2025-12-04T08:57:12.0723011Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0723802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0724662Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0725419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0726114Z x = stage(x) 2025-12-04T08:57:12.0726750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.0727474Z out = self.conv1(x) 2025-12-04T08:57:12.0728105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0728773Z x = F.conv2d( 2025-12-04T08:57:12.0728926Z 2025-12-04T08:57:12.0729090Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0730084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0730884Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0731558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0732245Z x = stage(x) 2025-12-04T08:57:12.0732828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.0733517Z out = F.relu_(out) 2025-12-04T08:57:12.0733700Z 2025-12-04T08:57:12.0733883Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0734806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0735695Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0736507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0737204Z x = stage(x) 2025-12-04T08:57:12.0737831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.0738500Z out = self.conv2(out) 2025-12-04T08:57:12.0739098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0739728Z x = F.conv2d( 2025-12-04T08:57:12.0739890Z 2025-12-04T08:57:12.0740063Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0740950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0741839Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0742583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0743280Z x = stage(x) 2025-12-04T08:57:12.0743912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.0744616Z out = F.relu_(out) 2025-12-04T08:57:12.0744803Z 2025-12-04T08:57:12.0744987Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0745895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0746761Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0747528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0748231Z x = stage(x) 2025-12-04T08:57:12.0748852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.0749553Z out = self.conv3(out) 2025-12-04T08:57:12.0750178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0750839Z x = F.conv2d( 2025-12-04T08:57:12.0751004Z 2025-12-04T08:57:12.0751206Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0752109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0752982Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0753743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0754459Z x = stage(x) 2025-12-04T08:57:12.0755118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:57:12.0756008Z shortcut = self.shortcut(x) 2025-12-04T08:57:12.0756692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0757345Z x = F.conv2d( 2025-12-04T08:57:12.0757513Z 2025-12-04T08:57:12.0757699Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0758659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0759548Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0760309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0761047Z x = stage(x) 2025-12-04T08:57:12.0761822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.0762555Z out = self.conv1(x) 2025-12-04T08:57:12.0763266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0763940Z x = F.conv2d( 2025-12-04T08:57:12.0764108Z 2025-12-04T08:57:12.0764314Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0765248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0766150Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0766890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0767589Z x = stage(x) 2025-12-04T08:57:12.0768247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.0768955Z out = F.relu_(out) 2025-12-04T08:57:12.0769139Z 2025-12-04T08:57:12.0769345Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0770270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0771169Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0771944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0772664Z x = stage(x) 2025-12-04T08:57:12.0773308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.0774029Z out = self.conv2(out) 2025-12-04T08:57:12.0774644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0775275Z x = F.conv2d( 2025-12-04T08:57:12.0775443Z 2025-12-04T08:57:12.0775630Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0776548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0777428Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0778171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0778871Z x = stage(x) 2025-12-04T08:57:12.0779515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.0780213Z out = F.relu_(out) 2025-12-04T08:57:12.0780402Z 2025-12-04T08:57:12.0780590Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0781490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0782352Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0783248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0783950Z x = stage(x) 2025-12-04T08:57:12.0784594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.0785364Z out = self.conv3(out) 2025-12-04T08:57:12.0785991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0786656Z x = F.conv2d( 2025-12-04T08:57:12.0786826Z 2025-12-04T08:57:12.0787037Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0787967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0788860Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0789626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0790384Z x = stage(x) 2025-12-04T08:57:12.0791028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.0791754Z out = F.relu_(out) 2025-12-04T08:57:12.0791946Z 2025-12-04T08:57:12.0792153Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0793084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0793987Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0794750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0795455Z x = stage(x) 2025-12-04T08:57:12.0796098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.0796825Z out = self.conv1(x) 2025-12-04T08:57:12.0797477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0798151Z x = F.conv2d( 2025-12-04T08:57:12.0798319Z 2025-12-04T08:57:12.0798510Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0799440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0800326Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0801095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0801934Z x = stage(x) 2025-12-04T08:57:12.0802603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.0803337Z out = F.relu_(out) 2025-12-04T08:57:12.0803707Z 2025-12-04T08:57:12.0803906Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0804851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0805744Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0806510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0807198Z x = stage(x) 2025-12-04T08:57:12.0807831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.0808564Z out = self.conv2(out) 2025-12-04T08:57:12.0809203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0809865Z x = F.conv2d( 2025-12-04T08:57:12.0810036Z 2025-12-04T08:57:12.0811104Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0812082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0812972Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0813798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0814503Z x = stage(x) 2025-12-04T08:57:12.0815143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.0815863Z out = F.relu_(out) 2025-12-04T08:57:12.0816058Z 2025-12-04T08:57:12.0816251Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0817197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0818185Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0818953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0819665Z x = stage(x) 2025-12-04T08:57:12.0820322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.0821046Z out = self.conv3(out) 2025-12-04T08:57:12.0821704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0822369Z x = F.conv2d( 2025-12-04T08:57:12.0822533Z 2025-12-04T08:57:12.0822728Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0823649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0824520Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0825283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0825994Z x = stage(x) 2025-12-04T08:57:12.0826647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.0827368Z out = F.relu_(out) 2025-12-04T08:57:12.0827549Z 2025-12-04T08:57:12.0827739Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0828667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0829581Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0830350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0831070Z x = stage(x) 2025-12-04T08:57:12.0831743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.0832482Z out = self.conv1(x) 2025-12-04T08:57:12.0833118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0833784Z x = F.conv2d( 2025-12-04T08:57:12.0833966Z 2025-12-04T08:57:12.0834164Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0835119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0835994Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0836726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0837416Z x = stage(x) 2025-12-04T08:57:12.0838196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.0838896Z out = F.relu_(out) 2025-12-04T08:57:12.0839089Z 2025-12-04T08:57:12.0839281Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0840198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0841137Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0842004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0842713Z x = stage(x) 2025-12-04T08:57:12.0843353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.0844044Z out = self.conv2(out) 2025-12-04T08:57:12.0844685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0845400Z x = F.conv2d( 2025-12-04T08:57:12.0845564Z 2025-12-04T08:57:12.0845759Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0846659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0847569Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0848427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0849303Z x = stage(x) 2025-12-04T08:57:12.0849854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.0850464Z out = F.relu_(out) 2025-12-04T08:57:12.0850629Z 2025-12-04T08:57:12.0850811Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0851722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0852565Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0853290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0853992Z x = stage(x) 2025-12-04T08:57:12.0854621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.0855311Z out = self.conv3(out) 2025-12-04T08:57:12.0855943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0856578Z x = F.conv2d( 2025-12-04T08:57:12.0856745Z 2025-12-04T08:57:12.0856927Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0857841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0858714Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0859452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0860158Z x = stage(x) 2025-12-04T08:57:12.0860792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.0861486Z out = F.relu_(out) 2025-12-04T08:57:12.0861678Z 2025-12-04T08:57:12.0861871Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0862788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0863666Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0864397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0865230Z x = stage(x) 2025-12-04T08:57:12.0865881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.0866588Z out = self.conv1(x) 2025-12-04T08:57:12.0867200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0867898Z x = F.conv2d( 2025-12-04T08:57:12.0868060Z 2025-12-04T08:57:12.0868259Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0869173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0870042Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0870771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0871466Z x = stage(x) 2025-12-04T08:57:12.0872140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.0872844Z out = F.relu_(out) 2025-12-04T08:57:12.0873026Z 2025-12-04T08:57:12.0873225Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0874129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0874995Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0875734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0876427Z x = stage(x) 2025-12-04T08:57:12.0877051Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.0877768Z out = self.conv2(out) 2025-12-04T08:57:12.0903847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0904755Z x = F.conv2d( 2025-12-04T08:57:12.0904927Z 2025-12-04T08:57:12.0905125Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0906046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0906909Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0907653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0908348Z x = stage(x) 2025-12-04T08:57:12.0908993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.0909712Z out = F.relu_(out) 2025-12-04T08:57:12.0909895Z 2025-12-04T08:57:12.0910098Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0911005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0911870Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0912623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0913331Z x = stage(x) 2025-12-04T08:57:12.0913972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.0914696Z out = self.conv3(out) 2025-12-04T08:57:12.0915333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0915971Z x = F.conv2d( 2025-12-04T08:57:12.0916145Z 2025-12-04T08:57:12.0916335Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0917537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0918424Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0919168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0919931Z x = stage(x) 2025-12-04T08:57:12.0920580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:57:12.0921442Z shortcut = self.shortcut(x) 2025-12-04T08:57:12.0922104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0922783Z x = F.conv2d( 2025-12-04T08:57:12.0922950Z 2025-12-04T08:57:12.0923165Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0924089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0925032Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0925767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0926457Z x = stage(x) 2025-12-04T08:57:12.0927088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.0927796Z out = self.conv1(x) 2025-12-04T08:57:12.0928415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0929060Z x = F.conv2d( 2025-12-04T08:57:12.0929230Z 2025-12-04T08:57:12.0929423Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0930332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0931201Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0931922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0932657Z x = stage(x) 2025-12-04T08:57:12.0933262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.0933960Z out = F.relu_(out) 2025-12-04T08:57:12.0934144Z 2025-12-04T08:57:12.0934332Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0935249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0936108Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0936823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0937520Z x = stage(x) 2025-12-04T08:57:12.0938164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.0938877Z out = self.conv2(out) 2025-12-04T08:57:12.0939508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0940165Z x = F.conv2d( 2025-12-04T08:57:12.0940326Z 2025-12-04T08:57:12.0940518Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0941426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0942292Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0943019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0943709Z x = stage(x) 2025-12-04T08:57:12.0944464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.0945173Z out = F.relu_(out) 2025-12-04T08:57:12.0945361Z 2025-12-04T08:57:12.0945559Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0946470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0947375Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0948116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0948814Z x = stage(x) 2025-12-04T08:57:12.0949441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.0950111Z out = self.conv3(out) 2025-12-04T08:57:12.0950707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0951405Z x = F.conv2d( 2025-12-04T08:57:12.0951562Z 2025-12-04T08:57:12.0951749Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0952658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0953533Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0954276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0954962Z x = stage(x) 2025-12-04T08:57:12.0955602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.0956311Z out = F.relu_(out) 2025-12-04T08:57:12.0956495Z 2025-12-04T08:57:12.0956686Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0957618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0958494Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0959236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0959929Z x = stage(x) 2025-12-04T08:57:12.0960562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.0961392Z out = self.conv1(x) 2025-12-04T08:57:12.0962039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0962705Z x = F.conv2d( 2025-12-04T08:57:12.0962878Z 2025-12-04T08:57:12.0963064Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0963977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0964842Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0965603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0966329Z x = stage(x) 2025-12-04T08:57:12.0966982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.0967656Z out = F.relu_(out) 2025-12-04T08:57:12.0967848Z 2025-12-04T08:57:12.0968033Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0968934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0969782Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0970686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0971397Z x = stage(x) 2025-12-04T08:57:12.0972015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.0972734Z out = self.conv2(out) 2025-12-04T08:57:12.0973407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0974067Z x = F.conv2d( 2025-12-04T08:57:12.0974226Z 2025-12-04T08:57:12.0974410Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0975315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0976189Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0976928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0977689Z x = stage(x) 2025-12-04T08:57:12.0978321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.0979018Z out = F.relu_(out) 2025-12-04T08:57:12.0979204Z 2025-12-04T08:57:12.0979409Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0980295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0981137Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0981865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0982566Z x = stage(x) 2025-12-04T08:57:12.0983205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.0983932Z out = self.conv3(out) 2025-12-04T08:57:12.0984584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0985221Z x = F.conv2d( 2025-12-04T08:57:12.0985385Z 2025-12-04T08:57:12.0985572Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0986506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0987330Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0988035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0988706Z x = stage(x) 2025-12-04T08:57:12.0989345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.0990036Z out = F.relu_(out) 2025-12-04T08:57:12.0990210Z 2025-12-04T08:57:12.0990708Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0991610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0992483Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0993237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.0993917Z x = stage(x) 2025-12-04T08:57:12.0994547Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.0995249Z out = self.conv1(x) 2025-12-04T08:57:12.0995878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.0996534Z x = F.conv2d( 2025-12-04T08:57:12.0996707Z 2025-12-04T08:57:12.0996894Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.0997937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.0998758Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.0999531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1000285Z x = stage(x) 2025-12-04T08:57:12.1000954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1001783Z out = F.relu_(out) 2025-12-04T08:57:12.1001974Z 2025-12-04T08:57:12.1002168Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1003115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1004231Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1005111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1005809Z x = stage(x) 2025-12-04T08:57:12.1006473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1007195Z out = self.conv2(out) 2025-12-04T08:57:12.1007852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1008540Z x = F.conv2d( 2025-12-04T08:57:12.1008700Z 2025-12-04T08:57:12.1008896Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1009819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1010712Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1011492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1012207Z x = stage(x) 2025-12-04T08:57:12.1012866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1013577Z out = F.relu_(out) 2025-12-04T08:57:12.1013766Z 2025-12-04T08:57:12.1013961Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1014882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1015735Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1016472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1017174Z x = stage(x) 2025-12-04T08:57:12.1017820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1018552Z out = self.conv3(out) 2025-12-04T08:57:12.1019195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1019850Z x = F.conv2d( 2025-12-04T08:57:12.1020024Z 2025-12-04T08:57:12.1020217Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1021145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1022029Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1022793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1023505Z x = stage(x) 2025-12-04T08:57:12.1024161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1025030Z out = F.relu_(out) 2025-12-04T08:57:12.1025225Z 2025-12-04T08:57:12.1025423Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1026360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1027298Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1028039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1028764Z x = stage(x) 2025-12-04T08:57:12.1029412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1030100Z out = self.conv1(x) 2025-12-04T08:57:12.1030718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1031380Z x = F.conv2d( 2025-12-04T08:57:12.1031577Z 2025-12-04T08:57:12.1031778Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1032690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1033565Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1034305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1035009Z x = stage(x) 2025-12-04T08:57:12.1035653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1036368Z out = F.relu_(out) 2025-12-04T08:57:12.1036551Z 2025-12-04T08:57:12.1036745Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1037673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1038594Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1039355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1040043Z x = stage(x) 2025-12-04T08:57:12.1040659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1041482Z out = self.conv2(out) 2025-12-04T08:57:12.1042129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1042786Z x = F.conv2d( 2025-12-04T08:57:12.1042946Z 2025-12-04T08:57:12.1043134Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1044045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1044924Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1045650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1046347Z x = stage(x) 2025-12-04T08:57:12.1046986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1047666Z out = F.relu_(out) 2025-12-04T08:57:12.1047849Z 2025-12-04T08:57:12.1048038Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1048953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1049813Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1050563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1051258Z x = stage(x) 2025-12-04T08:57:12.1052015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1052730Z out = self.conv3(out) 2025-12-04T08:57:12.1053351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1054124Z x = F.conv2d( 2025-12-04T08:57:12.1054271Z 2025-12-04T08:57:12.1054454Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1055363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1056221Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1056951Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1057648Z x = stage(x) 2025-12-04T08:57:12.1058288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1059031Z out = F.relu_(out) 2025-12-04T08:57:12.1059224Z 2025-12-04T08:57:12.1059412Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1060325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1061195Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1061943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1062634Z x = stage(x) 2025-12-04T08:57:12.1063272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1063965Z out = self.conv1(x) 2025-12-04T08:57:12.1064583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1065257Z x = F.conv2d( 2025-12-04T08:57:12.1065423Z 2025-12-04T08:57:12.1065618Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1066574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1067479Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1068248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1068970Z x = stage(x) 2025-12-04T08:57:12.1069636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1070369Z out = F.relu_(out) 2025-12-04T08:57:12.1070557Z 2025-12-04T08:57:12.1070746Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1071688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1072580Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1073339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1074064Z x = stage(x) 2025-12-04T08:57:12.1074727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1075468Z out = self.conv2(out) 2025-12-04T08:57:12.1076115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1076784Z x = F.conv2d( 2025-12-04T08:57:12.1076962Z 2025-12-04T08:57:12.1077155Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1078201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1079097Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1079872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1080605Z x = stage(x) 2025-12-04T08:57:12.1081425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1082152Z out = F.relu_(out) 2025-12-04T08:57:12.1082342Z 2025-12-04T08:57:12.1082534Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1083472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1084362Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1085108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1085883Z x = stage(x) 2025-12-04T08:57:12.1086533Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1087239Z out = self.conv3(out) 2025-12-04T08:57:12.1087862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1088524Z x = F.conv2d( 2025-12-04T08:57:12.1088687Z 2025-12-04T08:57:12.1088882Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1089785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1090622Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1091365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1092060Z x = stage(x) 2025-12-04T08:57:12.1092702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1093411Z out = F.relu_(out) 2025-12-04T08:57:12.1093603Z 2025-12-04T08:57:12.1093792Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1094703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1095568Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1096297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1097000Z x = stage(x) 2025-12-04T08:57:12.1097637Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1098345Z out = self.conv1(x) 2025-12-04T08:57:12.1098975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1099631Z x = F.conv2d( 2025-12-04T08:57:12.1099797Z 2025-12-04T08:57:12.1099989Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1100915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1101800Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1102537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1103228Z x = stage(x) 2025-12-04T08:57:12.1104141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1104714Z out = F.relu_(out) 2025-12-04T08:57:12.1104848Z 2025-12-04T08:57:12.1104985Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1105729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1106213Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1106616Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1107036Z x = stage(x) 2025-12-04T08:57:12.1107402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1107799Z out = self.conv2(out) 2025-12-04T08:57:12.1108143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1108509Z x = F.conv2d( 2025-12-04T08:57:12.1108613Z 2025-12-04T08:57:12.1108722Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1109220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1109727Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1110136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1110529Z x = stage(x) 2025-12-04T08:57:12.1110890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1111276Z out = F.relu_(out) 2025-12-04T08:57:12.1111389Z 2025-12-04T08:57:12.1111496Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1111988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1112456Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1112864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1113250Z x = stage(x) 2025-12-04T08:57:12.1113604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1113996Z out = self.conv3(out) 2025-12-04T08:57:12.1114360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1114729Z x = F.conv2d( 2025-12-04T08:57:12.1114824Z 2025-12-04T08:57:12.1114937Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1115427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1115899Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1116303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1116685Z x = stage(x) 2025-12-04T08:57:12.1117043Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1117434Z out = F.relu_(out) 2025-12-04T08:57:12.1117540Z 2025-12-04T08:57:12.1117653Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1118126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1118594Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1118999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1119386Z x = stage(x) 2025-12-04T08:57:12.1119737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1120215Z out = self.conv1(x) 2025-12-04T08:57:12.1120574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1120946Z x = F.conv2d( 2025-12-04T08:57:12.1121050Z 2025-12-04T08:57:12.1121159Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1121807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1122294Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1122705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1123105Z x = stage(x) 2025-12-04T08:57:12.1123468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1123873Z out = F.relu_(out) 2025-12-04T08:57:12.1124013Z 2025-12-04T08:57:12.1124122Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1124615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1125117Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1125534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1125925Z x = stage(x) 2025-12-04T08:57:12.1126296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1126707Z out = self.conv2(out) 2025-12-04T08:57:12.1127067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1127449Z x = F.conv2d( 2025-12-04T08:57:12.1127552Z 2025-12-04T08:57:12.1127669Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1128168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1128652Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1129062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1129464Z x = stage(x) 2025-12-04T08:57:12.1129821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1130217Z out = F.relu_(out) 2025-12-04T08:57:12.1130331Z 2025-12-04T08:57:12.1130441Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1130937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1131413Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1131821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1132215Z x = stage(x) 2025-12-04T08:57:12.1132573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1132963Z out = self.conv3(out) 2025-12-04T08:57:12.1133319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1133702Z x = F.conv2d( 2025-12-04T08:57:12.1133797Z 2025-12-04T08:57:12.1133903Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1134384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1134850Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1135289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1135662Z x = stage(x) 2025-12-04T08:57:12.1136008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1136423Z out = F.relu_(out) 2025-12-04T08:57:12.1136528Z 2025-12-04T08:57:12.1136641Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1137120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1137590Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1137983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1138362Z x = stage(x) 2025-12-04T08:57:12.1138713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1139136Z out = self.conv1(x) 2025-12-04T08:57:12.1139483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1139847Z x = F.conv2d( 2025-12-04T08:57:12.1139952Z 2025-12-04T08:57:12.1140060Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1140548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1141021Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1141417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1141798Z x = stage(x) 2025-12-04T08:57:12.1142150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1142532Z out = F.relu_(out) 2025-12-04T08:57:12.1142643Z 2025-12-04T08:57:12.1142751Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1143240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1143710Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1144099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1144481Z x = stage(x) 2025-12-04T08:57:12.1144829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1145207Z out = self.conv2(out) 2025-12-04T08:57:12.1145554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1145915Z x = F.conv2d( 2025-12-04T08:57:12.1146015Z 2025-12-04T08:57:12.1146130Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1146610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1147080Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1147479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1147859Z x = stage(x) 2025-12-04T08:57:12.1148201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1148582Z out = F.relu_(out) 2025-12-04T08:57:12.1148688Z 2025-12-04T08:57:12.1148802Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1149327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1149801Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1150200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1150588Z x = stage(x) 2025-12-04T08:57:12.1150948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1151336Z out = self.conv3(out) 2025-12-04T08:57:12.1151683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1152043Z x = F.conv2d( 2025-12-04T08:57:12.1152144Z 2025-12-04T08:57:12.1152252Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1152741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1153223Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1153609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1153996Z x = stage(x) 2025-12-04T08:57:12.1154345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1154737Z out = F.relu_(out) 2025-12-04T08:57:12.1154842Z 2025-12-04T08:57:12.1154947Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1155432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1155897Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1156283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1156662Z x = stage(x) 2025-12-04T08:57:12.1157010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1157393Z out = self.conv1(x) 2025-12-04T08:57:12.1157724Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1158085Z x = F.conv2d( 2025-12-04T08:57:12.1158179Z 2025-12-04T08:57:12.1158294Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1158773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1159238Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1159634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1160031Z x = stage(x) 2025-12-04T08:57:12.1160393Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1160793Z out = F.relu_(out) 2025-12-04T08:57:12.1160900Z 2025-12-04T08:57:12.1161014Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1161645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1162145Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1162597Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1162995Z x = stage(x) 2025-12-04T08:57:12.1163351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1163759Z out = self.conv2(out) 2025-12-04T08:57:12.1164214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1164596Z x = F.conv2d( 2025-12-04T08:57:12.1164694Z 2025-12-04T08:57:12.1164803Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1165309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1165825Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1166246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1166643Z x = stage(x) 2025-12-04T08:57:12.1167066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1167481Z out = F.relu_(out) 2025-12-04T08:57:12.1167587Z 2025-12-04T08:57:12.1167696Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1168223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1168709Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1169124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1169584Z x = stage(x) 2025-12-04T08:57:12.1169955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1170362Z out = self.conv3(out) 2025-12-04T08:57:12.1170720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1171099Z x = F.conv2d( 2025-12-04T08:57:12.1171200Z 2025-12-04T08:57:12.1171311Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1171814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1172285Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1172693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1173101Z x = stage(x) 2025-12-04T08:57:12.1173461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1173862Z out = F.relu_(out) 2025-12-04T08:57:12.1173974Z 2025-12-04T08:57:12.1174079Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1174565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1174995Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1175372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1175731Z x = stage(x) 2025-12-04T08:57:12.1176059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1176418Z out = self.conv1(x) 2025-12-04T08:57:12.1176743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1177085Z x = F.conv2d( 2025-12-04T08:57:12.1177174Z 2025-12-04T08:57:12.1177275Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1177737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1178177Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1178550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1178938Z x = stage(x) 2025-12-04T08:57:12.1179271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1179630Z out = F.relu_(out) 2025-12-04T08:57:12.1179727Z 2025-12-04T08:57:12.1179834Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1180305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1180740Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1181111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1181463Z x = stage(x) 2025-12-04T08:57:12.1181789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1182153Z out = self.conv2(out) 2025-12-04T08:57:12.1182498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1182830Z x = F.conv2d( 2025-12-04T08:57:12.1182926Z 2025-12-04T08:57:12.1183028Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1183490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1183932Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1184302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1184662Z x = stage(x) 2025-12-04T08:57:12.1184988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1185340Z out = F.relu_(out) 2025-12-04T08:57:12.1185448Z 2025-12-04T08:57:12.1185553Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1186013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1186466Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1186858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1187235Z x = stage(x) 2025-12-04T08:57:12.1187580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1187958Z out = self.conv3(out) 2025-12-04T08:57:12.1188304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1188660Z x = F.conv2d( 2025-12-04T08:57:12.1188754Z 2025-12-04T08:57:12.1188867Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1189354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1189821Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1190219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1190602Z x = stage(x) 2025-12-04T08:57:12.1190938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1191320Z out = F.relu_(out) 2025-12-04T08:57:12.1191423Z 2025-12-04T08:57:12.1191537Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1192018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1192488Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1192919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1193301Z x = stage(x) 2025-12-04T08:57:12.1193643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1194060Z out = self.conv1(x) 2025-12-04T08:57:12.1194401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1194752Z x = F.conv2d( 2025-12-04T08:57:12.1194856Z 2025-12-04T08:57:12.1194964Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1195452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1195926Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1196319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1196760Z x = stage(x) 2025-12-04T08:57:12.1197108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1197497Z out = F.relu_(out) 2025-12-04T08:57:12.1197604Z 2025-12-04T08:57:12.1197710Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1198198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1198675Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1199070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1199470Z x = stage(x) 2025-12-04T08:57:12.1199828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1200222Z out = self.conv2(out) 2025-12-04T08:57:12.1200569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1200943Z x = F.conv2d( 2025-12-04T08:57:12.1201042Z 2025-12-04T08:57:12.1201160Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1201781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1202260Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1202674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1203080Z x = stage(x) 2025-12-04T08:57:12.1203726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1204218Z out = F.relu_(out) 2025-12-04T08:57:12.1204332Z 2025-12-04T08:57:12.1204439Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1204934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1205411Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1205821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1206215Z x = stage(x) 2025-12-04T08:57:12.1206566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1206966Z out = self.conv3(out) 2025-12-04T08:57:12.1207320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1207686Z x = F.conv2d( 2025-12-04T08:57:12.1207782Z 2025-12-04T08:57:12.1207977Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1208472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1208943Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1209379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1209763Z x = stage(x) 2025-12-04T08:57:12.1210121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1210517Z out = F.relu_(out) 2025-12-04T08:57:12.1210621Z 2025-12-04T08:57:12.1210728Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1211217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1211723Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1212125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1212505Z x = stage(x) 2025-12-04T08:57:12.1212849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1213243Z out = self.conv1(x) 2025-12-04T08:57:12.1213587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1213919Z x = F.conv2d( 2025-12-04T08:57:12.1214016Z 2025-12-04T08:57:12.1214117Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1214576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1215012Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1215400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1215786Z x = stage(x) 2025-12-04T08:57:12.1216132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1216517Z out = F.relu_(out) 2025-12-04T08:57:12.1216626Z 2025-12-04T08:57:12.1216732Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1217225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1217663Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1218028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1218388Z x = stage(x) 2025-12-04T08:57:12.1218720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1219076Z out = self.conv2(out) 2025-12-04T08:57:12.1219403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1219745Z x = F.conv2d( 2025-12-04T08:57:12.1219834Z 2025-12-04T08:57:12.1219944Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1220397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1220837Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1221212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1221566Z x = stage(x) 2025-12-04T08:57:12.1221932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1222293Z out = F.relu_(out) 2025-12-04T08:57:12.1222391Z 2025-12-04T08:57:12.1222498Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1222972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1223462Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1223856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1224235Z x = stage(x) 2025-12-04T08:57:12.1224572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1224960Z out = self.conv3(out) 2025-12-04T08:57:12.1225306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1225675Z x = F.conv2d( 2025-12-04T08:57:12.1225777Z 2025-12-04T08:57:12.1225882Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1226365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1226830Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1227220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1227598Z x = stage(x) 2025-12-04T08:57:12.1227926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1228277Z out = F.relu_(out) 2025-12-04T08:57:12.1228388Z 2025-12-04T08:57:12.1228492Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1228820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1228905Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1229157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1229229Z x = stage(x) 2025-12-04T08:57:12.1229478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1229546Z out = self.conv1(x) 2025-12-04T08:57:12.1229786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1229850Z x = F.conv2d( 2025-12-04T08:57:12.1229854Z 2025-12-04T08:57:12.1229968Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1230286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1230373Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1230629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1230692Z x = stage(x) 2025-12-04T08:57:12.1230950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1231015Z out = F.relu_(out) 2025-12-04T08:57:12.1231019Z 2025-12-04T08:57:12.1231124Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1231448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1231532Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1231781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1231888Z x = stage(x) 2025-12-04T08:57:12.1232139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1232218Z out = self.conv2(out) 2025-12-04T08:57:12.1232446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1232526Z x = F.conv2d( 2025-12-04T08:57:12.1232529Z 2025-12-04T08:57:12.1232645Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1232963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1233054Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1233306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1233383Z x = stage(x) 2025-12-04T08:57:12.1233644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1233710Z out = F.relu_(out) 2025-12-04T08:57:12.1233714Z 2025-12-04T08:57:12.1233821Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1234152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1234237Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1234498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1234561Z x = stage(x) 2025-12-04T08:57:12.1234822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1234901Z out = self.conv3(out) 2025-12-04T08:57:12.1235142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1235213Z x = F.conv2d( 2025-12-04T08:57:12.1235217Z 2025-12-04T08:57:12.1235325Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1235652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1235749Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1236005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1236068Z x = stage(x) 2025-12-04T08:57:12.1236333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1236401Z out = F.relu_(out) 2025-12-04T08:57:12.1236405Z 2025-12-04T08:57:12.1236522Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1236852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1236938Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1237206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1237271Z x = stage(x) 2025-12-04T08:57:12.1237537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1237606Z out = self.conv1(x) 2025-12-04T08:57:12.1237840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1237910Z x = F.conv2d( 2025-12-04T08:57:12.1237914Z 2025-12-04T08:57:12.1238023Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1238399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1238495Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1238752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1238843Z x = stage(x) 2025-12-04T08:57:12.1239101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1239166Z out = F.relu_(out) 2025-12-04T08:57:12.1239170Z 2025-12-04T08:57:12.1239284Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1239611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1239704Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1239981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1240044Z x = stage(x) 2025-12-04T08:57:12.1240302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1240374Z out = self.conv2(out) 2025-12-04T08:57:12.1240609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1240682Z x = F.conv2d( 2025-12-04T08:57:12.1240686Z 2025-12-04T08:57:12.1240794Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1241122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1241207Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1241604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1241687Z x = stage(x) 2025-12-04T08:57:12.1241945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1242022Z out = F.relu_(out) 2025-12-04T08:57:12.1242026Z 2025-12-04T08:57:12.1242139Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1242467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1242563Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1242828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1242889Z x = stage(x) 2025-12-04T08:57:12.1243146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1243221Z out = self.conv3(out) 2025-12-04T08:57:12.1243461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1243524Z x = F.conv2d( 2025-12-04T08:57:12.1243528Z 2025-12-04T08:57:12.1243633Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1243961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1244047Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1244303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1244364Z x = stage(x) 2025-12-04T08:57:12.1244612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1244688Z out = F.relu_(out) 2025-12-04T08:57:12.1244694Z 2025-12-04T08:57:12.1244850Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1245179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1245276Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1245552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1245622Z x = stage(x) 2025-12-04T08:57:12.1245881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1245950Z out = self.conv1(x) 2025-12-04T08:57:12.1246198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1246261Z x = F.conv2d( 2025-12-04T08:57:12.1246264Z 2025-12-04T08:57:12.1246406Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1246736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1246822Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1247092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1247156Z x = stage(x) 2025-12-04T08:57:12.1247403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1247478Z out = F.relu_(out) 2025-12-04T08:57:12.1247482Z 2025-12-04T08:57:12.1247589Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1247921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1248013Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1248269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1248340Z x = stage(x) 2025-12-04T08:57:12.1248595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1248668Z out = self.conv2(out) 2025-12-04T08:57:12.1248909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1248972Z x = F.conv2d( 2025-12-04T08:57:12.1248976Z 2025-12-04T08:57:12.1249093Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1249417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1249502Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1249769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1249832Z x = stage(x) 2025-12-04T08:57:12.1250091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1250160Z out = F.relu_(out) 2025-12-04T08:57:12.1250164Z 2025-12-04T08:57:12.1250272Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1250606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1250692Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1250956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1251020Z x = stage(x) 2025-12-04T08:57:12.1251312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1251394Z out = self.conv3(out) 2025-12-04T08:57:12.1251629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1251692Z x = F.conv2d( 2025-12-04T08:57:12.1251715Z 2025-12-04T08:57:12.1251833Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1252159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1252254Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1252514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1252575Z x = stage(x) 2025-12-04T08:57:12.1252840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1252939Z out = F.relu_(out) 2025-12-04T08:57:12.1252943Z 2025-12-04T08:57:12.1253053Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1253389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1253479Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1253747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1253810Z x = stage(x) 2025-12-04T08:57:12.1254071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1254147Z out = self.conv1(x) 2025-12-04T08:57:12.1254384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1254457Z x = F.conv2d( 2025-12-04T08:57:12.1254463Z 2025-12-04T08:57:12.1254573Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1254900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1254998Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1255255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1255317Z x = stage(x) 2025-12-04T08:57:12.1255608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1255676Z out = F.relu_(out) 2025-12-04T08:57:12.1255679Z 2025-12-04T08:57:12.1255796Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1256126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1256216Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1256480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1256542Z x = stage(x) 2025-12-04T08:57:12.1256809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1256879Z out = self.conv2(out) 2025-12-04T08:57:12.1257116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1257186Z x = F.conv2d( 2025-12-04T08:57:12.1257189Z 2025-12-04T08:57:12.1257297Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1257626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1257765Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1258018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1258089Z x = stage(x) 2025-12-04T08:57:12.1258342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1258428Z out = F.relu_(out) 2025-12-04T08:57:12.1258432Z 2025-12-04T08:57:12.1258552Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1258879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1258972Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1259232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1259314Z x = stage(x) 2025-12-04T08:57:12.1259587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1259656Z out = self.conv3(out) 2025-12-04T08:57:12.1259885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1259957Z x = F.conv2d( 2025-12-04T08:57:12.1259961Z 2025-12-04T08:57:12.1260068Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1260393Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1260478Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1260732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1260803Z x = stage(x) 2025-12-04T08:57:12.1261062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1261137Z out = F.relu_(out) 2025-12-04T08:57:12.1261140Z 2025-12-04T08:57:12.1261247Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1261565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1261659Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1261911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1261974Z x = stage(x) 2025-12-04T08:57:12.1262238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1262308Z out = self.conv1(x) 2025-12-04T08:57:12.1262557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1262623Z x = F.conv2d( 2025-12-04T08:57:12.1262626Z 2025-12-04T08:57:12.1262736Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1263070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1263160Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1263449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1263511Z x = stage(x) 2025-12-04T08:57:12.1263762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1263835Z out = F.relu_(out) 2025-12-04T08:57:12.1263838Z 2025-12-04T08:57:12.1263946Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1264326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1264422Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1264696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1264788Z x = stage(x) 2025-12-04T08:57:12.1265048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1265118Z out = self.conv2(out) 2025-12-04T08:57:12.1265353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1265415Z x = F.conv2d( 2025-12-04T08:57:12.1265419Z 2025-12-04T08:57:12.1265532Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1265857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1265962Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1266224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1266287Z x = stage(x) 2025-12-04T08:57:12.1266544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1266620Z out = F.relu_(out) 2025-12-04T08:57:12.1266623Z 2025-12-04T08:57:12.1266730Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1267049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1267132Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1267391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1267463Z x = stage(x) 2025-12-04T08:57:12.1267716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1267794Z out = self.conv3(out) 2025-12-04T08:57:12.1268040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1268104Z x = F.conv2d( 2025-12-04T08:57:12.1268107Z 2025-12-04T08:57:12.1268221Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1268546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1268631Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1268901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1268966Z x = stage(x) 2025-12-04T08:57:12.1269229Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1269295Z out = F.relu_(out) 2025-12-04T08:57:12.1269299Z 2025-12-04T08:57:12.1269406Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1269759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1269844Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1270157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1270221Z x = stage(x) 2025-12-04T08:57:12.1270477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1270550Z out = self.conv1(x) 2025-12-04T08:57:12.1270812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1270875Z x = F.conv2d( 2025-12-04T08:57:12.1270879Z 2025-12-04T08:57:12.1270993Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1271308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1271420Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1271681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1271742Z x = stage(x) 2025-12-04T08:57:12.1272001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1272066Z out = F.relu_(out) 2025-12-04T08:57:12.1272070Z 2025-12-04T08:57:12.1272207Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1272537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1272622Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1272888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1272950Z x = stage(x) 2025-12-04T08:57:12.1273216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1273294Z out = self.conv2(out) 2025-12-04T08:57:12.1273527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1273596Z x = F.conv2d( 2025-12-04T08:57:12.1273600Z 2025-12-04T08:57:12.1273708Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1274038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1274133Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1274398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1274472Z x = stage(x) 2025-12-04T08:57:12.1274742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1274806Z out = F.relu_(out) 2025-12-04T08:57:12.1274809Z 2025-12-04T08:57:12.1274923Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1275237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1275320Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1275588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1275650Z x = stage(x) 2025-12-04T08:57:12.1275911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1275985Z out = self.conv3(out) 2025-12-04T08:57:12.1276220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1276293Z x = F.conv2d( 2025-12-04T08:57:12.1276297Z 2025-12-04T08:57:12.1276405Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1276741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1276828Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1277124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1277197Z x = stage(x) 2025-12-04T08:57:12.1277458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1277524Z out = F.relu_(out) 2025-12-04T08:57:12.1277548Z 2025-12-04T08:57:12.1277667Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1277992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1278085Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1278340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1278404Z x = stage(x) 2025-12-04T08:57:12.1278675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1278764Z out = self.conv1(x) 2025-12-04T08:57:12.1279008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1279080Z x = F.conv2d( 2025-12-04T08:57:12.1279084Z 2025-12-04T08:57:12.1279196Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1279540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1279628Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1279892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1279964Z x = stage(x) 2025-12-04T08:57:12.1280231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1280310Z out = F.relu_(out) 2025-12-04T08:57:12.1280314Z 2025-12-04T08:57:12.1280424Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1280760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1280855Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1281119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1281182Z x = stage(x) 2025-12-04T08:57:12.1281581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1281661Z out = self.conv2(out) 2025-12-04T08:57:12.1281902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1281967Z x = F.conv2d( 2025-12-04T08:57:12.1281975Z 2025-12-04T08:57:12.1282087Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1282428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1282515Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1282786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1282850Z x = stage(x) 2025-12-04T08:57:12.1283108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1283187Z out = F.relu_(out) 2025-12-04T08:57:12.1283190Z 2025-12-04T08:57:12.1283300Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1283627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1283773Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1284035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1284109Z x = stage(x) 2025-12-04T08:57:12.1284369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1284464Z out = self.conv3(out) 2025-12-04T08:57:12.1284711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1284775Z x = F.conv2d( 2025-12-04T08:57:12.1284779Z 2025-12-04T08:57:12.1284896Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1285225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1285345Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1285615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1285678Z x = stage(x) 2025-12-04T08:57:12.1285939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1286015Z out = F.relu_(out) 2025-12-04T08:57:12.1286018Z 2025-12-04T08:57:12.1286125Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1286461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1286549Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1286810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1286881Z x = stage(x) 2025-12-04T08:57:12.1287147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1287222Z out = self.conv1(x) 2025-12-04T08:57:12.1287460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1287526Z x = F.conv2d( 2025-12-04T08:57:12.1287529Z 2025-12-04T08:57:12.1287646Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1287974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1288060Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1288325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1288387Z x = stage(x) 2025-12-04T08:57:12.1288656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1288724Z out = F.relu_(out) 2025-12-04T08:57:12.1288728Z 2025-12-04T08:57:12.1288836Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1289171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1289260Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1289528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1289591Z x = stage(x) 2025-12-04T08:57:12.1289848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1289927Z out = self.conv2(out) 2025-12-04T08:57:12.1290163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1290275Z x = F.conv2d( 2025-12-04T08:57:12.1290279Z 2025-12-04T08:57:12.1290398Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1290725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1290840Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1291097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1291159Z x = stage(x) 2025-12-04T08:57:12.1291424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1291492Z out = F.relu_(out) 2025-12-04T08:57:12.1291496Z 2025-12-04T08:57:12.1291612Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1291943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1292048Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1292304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1292367Z x = stage(x) 2025-12-04T08:57:12.1292615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1292694Z out = self.conv3(out) 2025-12-04T08:57:12.1292920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1292990Z x = F.conv2d( 2025-12-04T08:57:12.1292993Z 2025-12-04T08:57:12.1293102Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1293432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1293528Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1293782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1293853Z x = stage(x) 2025-12-04T08:57:12.1294112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1294180Z out = F.relu_(out) 2025-12-04T08:57:12.1294184Z 2025-12-04T08:57:12.1294300Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1294625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1294709Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1294965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1295031Z x = stage(x) 2025-12-04T08:57:12.1295286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1295356Z out = self.conv1(x) 2025-12-04T08:57:12.1295582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1295652Z x = F.conv2d( 2025-12-04T08:57:12.1295655Z 2025-12-04T08:57:12.1295760Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1296081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1296165Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1296412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1296485Z x = stage(x) 2025-12-04T08:57:12.1296772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1296839Z out = F.relu_(out) 2025-12-04T08:57:12.1296842Z 2025-12-04T08:57:12.1296958Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1297293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1297383Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1297632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1297695Z x = stage(x) 2025-12-04T08:57:12.1297951Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1298019Z out = self.conv2(out) 2025-12-04T08:57:12.1298279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1298340Z x = F.conv2d( 2025-12-04T08:57:12.1298344Z 2025-12-04T08:57:12.1298450Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1298774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1298861Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1299110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1299182Z x = stage(x) 2025-12-04T08:57:12.1299437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1299512Z out = F.relu_(out) 2025-12-04T08:57:12.1299515Z 2025-12-04T08:57:12.1299622Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1299951Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1300045Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1300298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1300371Z x = stage(x) 2025-12-04T08:57:12.1300627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1300697Z out = self.conv3(out) 2025-12-04T08:57:12.1300939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1301002Z x = F.conv2d( 2025-12-04T08:57:12.1301006Z 2025-12-04T08:57:12.1301124Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1301447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1301530Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1301784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1301846Z x = stage(x) 2025-12-04T08:57:12.1302093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1302164Z out = F.relu_(out) 2025-12-04T08:57:12.1302167Z 2025-12-04T08:57:12.1302270Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1302590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1302673Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1303019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1303090Z x = stage(x) 2025-12-04T08:57:12.1303348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1303582Z out = self.conv1(x) 2025-12-04T08:57:12.1303892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1303956Z x = F.conv2d( 2025-12-04T08:57:12.1303960Z 2025-12-04T08:57:12.1304079Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1304403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1304490Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1304758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1304847Z x = stage(x) 2025-12-04T08:57:12.1305109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1305184Z out = F.relu_(out) 2025-12-04T08:57:12.1305187Z 2025-12-04T08:57:12.1305298Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1305633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1305720Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1305980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1306052Z x = stage(x) 2025-12-04T08:57:12.1306314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1306400Z out = self.conv2(out) 2025-12-04T08:57:12.1306637Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1306701Z x = F.conv2d( 2025-12-04T08:57:12.1306704Z 2025-12-04T08:57:12.1306822Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1307151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1307237Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1307515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1307577Z x = stage(x) 2025-12-04T08:57:12.1307851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1307919Z out = F.relu_(out) 2025-12-04T08:57:12.1307924Z 2025-12-04T08:57:12.1308038Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1308375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1308461Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1308739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1308800Z x = stage(x) 2025-12-04T08:57:12.1309068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1309147Z out = self.conv3(out) 2025-12-04T08:57:12.1309392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1309455Z x = F.conv2d( 2025-12-04T08:57:12.1309466Z 2025-12-04T08:57:12.1309629Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1309958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1310053Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1310321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1310420Z x = stage(x) 2025-12-04T08:57:12.1310706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1310773Z out = F.relu_(out) 2025-12-04T08:57:12.1310777Z 2025-12-04T08:57:12.1310895Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1311236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1311342Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1311610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1311673Z x = stage(x) 2025-12-04T08:57:12.1311938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1312017Z out = self.conv1(x) 2025-12-04T08:57:12.1312260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1312330Z x = F.conv2d( 2025-12-04T08:57:12.1312333Z 2025-12-04T08:57:12.1312441Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1312765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1312860Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1313120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1313192Z x = stage(x) 2025-12-04T08:57:12.1313459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1313528Z out = F.relu_(out) 2025-12-04T08:57:12.1313531Z 2025-12-04T08:57:12.1313647Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1313972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1314058Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1314333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1314395Z x = stage(x) 2025-12-04T08:57:12.1314666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1314738Z out = self.conv2(out) 2025-12-04T08:57:12.1314982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1315054Z x = F.conv2d( 2025-12-04T08:57:12.1315059Z 2025-12-04T08:57:12.1315167Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1315498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1315585Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1315852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1315923Z x = stage(x) 2025-12-04T08:57:12.1316179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1316318Z out = F.relu_(out) 2025-12-04T08:57:12.1316322Z 2025-12-04T08:57:12.1316439Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1316763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1316877Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1317137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1317199Z x = stage(x) 2025-12-04T08:57:12.1317466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1317538Z out = self.conv3(out) 2025-12-04T08:57:12.1317784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1317884Z x = F.conv2d( 2025-12-04T08:57:12.1317891Z 2025-12-04T08:57:12.1317999Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1318331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1318419Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1318675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1318745Z x = stage(x) 2025-12-04T08:57:12.1319002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:57:12.1319091Z shortcut = self.shortcut(x) 2025-12-04T08:57:12.1319326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1319390Z x = F.conv2d( 2025-12-04T08:57:12.1319395Z 2025-12-04T08:57:12.1319514Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1319840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1319935Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1320196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1320257Z x = stage(x) 2025-12-04T08:57:12.1320521Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1320589Z out = self.conv1(x) 2025-12-04T08:57:12.1320823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1320893Z x = F.conv2d( 2025-12-04T08:57:12.1320897Z 2025-12-04T08:57:12.1321005Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1321441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1321538Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1321802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1321876Z x = stage(x) 2025-12-04T08:57:12.1322138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1322207Z out = F.relu_(out) 2025-12-04T08:57:12.1322220Z 2025-12-04T08:57:12.1322329Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1322660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1322755Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1323060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1323125Z x = stage(x) 2025-12-04T08:57:12.1323395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1323487Z out = self.conv2(out) 2025-12-04T08:57:12.1323731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1323794Z x = F.conv2d( 2025-12-04T08:57:12.1323798Z 2025-12-04T08:57:12.1323906Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1324244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1324330Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1324620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1324683Z x = stage(x) 2025-12-04T08:57:12.1324942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1325020Z out = F.relu_(out) 2025-12-04T08:57:12.1325023Z 2025-12-04T08:57:12.1325132Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1325454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1325548Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1325806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1325876Z x = stage(x) 2025-12-04T08:57:12.1326138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1326210Z out = self.conv3(out) 2025-12-04T08:57:12.1326457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1326519Z x = F.conv2d( 2025-12-04T08:57:12.1326522Z 2025-12-04T08:57:12.1326630Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1326962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1327064Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1327332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1327395Z x = stage(x) 2025-12-04T08:57:12.1327658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1327736Z out = F.relu_(out) 2025-12-04T08:57:12.1327740Z 2025-12-04T08:57:12.1327847Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1328180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1328269Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1328536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1328606Z x = stage(x) 2025-12-04T08:57:12.1328872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:57:12.1328941Z out = self.conv1(x) 2025-12-04T08:57:12.1329179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1329241Z x = F.conv2d( 2025-12-04T08:57:12.1329247Z 2025-12-04T08:57:12.1329400Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1329728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1329814Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1330112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1330174Z x = stage(x) 2025-12-04T08:57:12.1330453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:57:12.1330521Z out = F.relu_(out) 2025-12-04T08:57:12.1330524Z 2025-12-04T08:57:12.1330633Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1330969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1331072Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1331348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1331411Z x = stage(x) 2025-12-04T08:57:12.1331681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:57:12.1331761Z out = self.conv2(out) 2025-12-04T08:57:12.1332005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1332068Z x = F.conv2d( 2025-12-04T08:57:12.1332071Z 2025-12-04T08:57:12.1332188Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1332521Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1332621Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1332901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1332964Z x = stage(x) 2025-12-04T08:57:12.1333287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:57:12.1333356Z out = F.relu_(out) 2025-12-04T08:57:12.1333359Z 2025-12-04T08:57:12.1333467Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1333803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1333889Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1334158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1334219Z x = stage(x) 2025-12-04T08:57:12.1334485Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:57:12.1334563Z out = self.conv3(out) 2025-12-04T08:57:12.1334808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:12.1334878Z x = F.conv2d( 2025-12-04T08:57:12.1334882Z 2025-12-04T08:57:12.1334989Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:12.1335319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:57:12.1335414Z features = self.backbone(images.tensor) 2025-12-04T08:57:12.1335682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:57:12.1335744Z x = stage(x) 2025-12-04T08:57:12.1336070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:57:12.1336139Z out = F.relu_(out) 2025-12-04T08:57:12.1336143Z 2025-12-04T08:57:23.2330890Z cudagraph partition due to non gpu ops 2025-12-04T08:57:23.2331224Z cudagraph partition due to non gpu ops 2025-12-04T08:57:23.2331458Z cudagraph partition due to non gpu ops 2025-12-04T08:57:23.2332061Z cudagraph partition due to non gpu ops 2025-12-04T08:57:23.2332309Z cudagraph partition due to non gpu ops 2025-12-04T08:57:23.2332547Z cudagraph partition due to non gpu ops 2025-12-04T08:57:23.2332815Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:23.2333356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:57:23.2333888Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:57:23.2334443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:57:23.2334945Z t = self.conv(x) 2025-12-04T08:57:23.2335351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:57:23.2335740Z x = F.conv2d( 2025-12-04T08:57:23.2335849Z 2025-12-04T08:57:23.2335971Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:23.2336468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:57:23.2336984Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:57:23.2337498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T08:57:23.2337925Z t = self.conv(x) 2025-12-04T08:57:23.2338303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T08:57:23.2338702Z x = self.activation(x) 2025-12-04T08:57:23.2338826Z 2025-12-04T08:57:23.2338946Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:23.2339400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:57:23.2339913Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:57:23.2340463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward 2025-12-04T08:57:23.2340945Z pred_objectness_logits.append(self.objectness_logits(t)) 2025-12-04T08:57:23.2341131Z 2025-12-04T08:57:23.2341240Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:23.2341706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T08:57:23.2342291Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T08:57:23.2342786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward 2025-12-04T08:57:23.2343253Z pred_anchor_deltas.append(self.anchor_deltas(t)) 2025-12-04T08:57:23.2343425Z 2025-12-04T08:57:23.2343535Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:23.2344001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:57:23.2344442Z anchors = self.anchor_generator(features) 2025-12-04T08:57:23.2344871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:57:23.2345386Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:57:23.2345921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T08:57:23.2346498Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T08:57:23.2346703Z 2025-12-04T08:57:23.2346811Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:23.2347263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward 2025-12-04T08:57:23.2347718Z pred_objectness_logits = [ 2025-12-04T08:57:23.2348135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in 2025-12-04T08:57:23.2348576Z score.permute(0, 2, 3, 1).flatten(1) 2025-12-04T08:57:23.2348718Z 2025-12-04T08:57:23.2348835Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:23.2349278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward 2025-12-04T08:57:23.2349709Z pred_anchor_deltas = [ 2025-12-04T08:57:23.2350149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in 2025-12-04T08:57:23.2350574Z .flatten(1, -2) 2025-12-04T08:57:23.2350679Z 2025-12-04T08:57:23.2350785Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:23.2351235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T08:57:23.2351666Z anchors = self.anchor_generator(features) 2025-12-04T08:57:23.2352089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T08:57:23.2352569Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T08:57:23.2353068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T08:57:23.2353583Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T08:57:23.2353810Z 2025-12-04T08:57:29.6828015Z cudagraph partition due to non gpu ops 2025-12-04T08:57:29.6828352Z cudagraph partition due to non gpu ops 2025-12-04T08:57:29.6828580Z cudagraph partition due to non gpu ops 2025-12-04T08:57:29.6828810Z cudagraph partition due to non gpu ops 2025-12-04T08:57:29.6829111Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:29.6829705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format 2025-12-04T08:57:29.6830208Z sizes = shapes_to_tensor([x.__len__() for x in box_lists]) 2025-12-04T08:57:29.6830682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:57:29.6831112Z return torch.as_tensor(x, device=device) 2025-12-04T08:57:29.6831263Z 2025-12-04T08:57:29.6831423Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:29.6831923Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format 2025-12-04T08:57:29.6832402Z boxes = torch.cat([x.tensor for x in box_lists], dim=0) 2025-12-04T08:57:29.6832588Z 2025-12-04T08:57:30.4003619Z cudagraph partition due to non gpu ops 2025-12-04T08:57:30.4003975Z cudagraph partition due to non gpu ops 2025-12-04T08:57:30.4004251Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:30.4004853Z 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 2025-12-04T08:57:30.4005402Z return cat([indices[:, None], boxes], dim=1) 2025-12-04T08:57:30.4005812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T08:57:30.4006197Z return torch.cat(tensors, dim) 2025-12-04T08:57:30.4006382Z 2025-12-04T08:57:30.9975369Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:30.9975989Z 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 2025-12-04T08:57:30.9976500Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T08:57:30.9976996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:57:30.9977384Z return roi_align( 2025-12-04T08:57:30.9977831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:57:30.9978245Z return torch.ops.torchvision.roi_align( 2025-12-04T08:57:30.9978410Z 2025-12-04T08:57:30.9978525Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:30.9979020Z 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 2025-12-04T08:57:30.9979575Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T08:57:30.9979973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T08:57:30.9980349Z return roi_align( 2025-12-04T08:57:30.9980697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T08:57:30.9981093Z return torch.ops.torchvision.roi_align( 2025-12-04T08:57:30.9981250Z 2025-12-04T08:57:34.5144518Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:34.5145965Z 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 2025-12-04T08:57:34.5147572Z box_features = self.box_head(box_features) 2025-12-04T08:57:34.5148410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T08:57:34.5149127Z x = layer(x) 2025-12-04T08:57:34.5149306Z 2025-12-04T08:57:34.5149504Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:34.5150455Z 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 2025-12-04T08:57:34.5151384Z box_features = self.box_head(box_features) 2025-12-04T08:57:34.5152155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T08:57:34.5152861Z x = layer(x) 2025-12-04T08:57:34.5153026Z 2025-12-04T08:57:34.5153231Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:34.5154176Z 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 2025-12-04T08:57:34.5155077Z box_features = self.box_head(box_features) 2025-12-04T08:57:34.5155860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T08:57:34.5156591Z x = layer(x) 2025-12-04T08:57:34.5156758Z 2025-12-04T08:57:34.5156955Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:34.5157927Z 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 2025-12-04T08:57:34.5158862Z box_features = self.box_head(box_features) 2025-12-04T08:57:34.5159644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T08:57:34.5160367Z x = layer(x) 2025-12-04T08:57:34.5160528Z 2025-12-04T08:57:34.5160715Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:34.5162257Z 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 2025-12-04T08:57:34.5163167Z predictions = self.box_predictor(box_features) 2025-12-04T08:57:34.5163913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward 2025-12-04T08:57:34.5164697Z scores = self.cls_score(x) 2025-12-04T08:57:34.5164903Z 2025-12-04T08:57:34.5165093Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:34.5166029Z 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 2025-12-04T08:57:34.5166964Z predictions = self.box_predictor(box_features) 2025-12-04T08:57:34.5167728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward 2025-12-04T08:57:34.5168442Z proposal_deltas = self.bbox_pred(x) 2025-12-04T08:57:34.5168787Z 2025-12-04T08:57:38.1528376Z cudagraph partition due to non gpu ops 2025-12-04T08:57:38.1528692Z cudagraph partition due to non gpu ops 2025-12-04T08:57:38.1528921Z cudagraph partition due to non gpu ops 2025-12-04T08:57:38.1529142Z cudagraph partition due to non gpu ops 2025-12-04T08:57:38.1529398Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:38.1529904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T08:57:38.1530377Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T08:57:38.1530851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes 2025-12-04T08:57:38.1531371Z proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0) 2025-12-04T08:57:38.1531840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T08:57:38.1532250Z return torch.cat(tensors, dim) 2025-12-04T08:57:38.1532396Z 2025-12-04T08:57:38.1532526Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:38.1533023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T08:57:38.1533487Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T08:57:38.1533937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes 2025-12-04T08:57:38.1534403Z predict_boxes = self.box2box_transform.apply_deltas( 2025-12-04T08:57:38.1534867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T08:57:38.1535317Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:57:38.1535476Z 2025-12-04T08:57:40.5971839Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:40.5972633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick 2025-12-04T08:57:40.5973113Z max_coordinate = boxes.max() 2025-12-04T08:57:40.5973256Z 2025-12-04T08:57:40.5973385Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:40.5973888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick 2025-12-04T08:57:40.5974341Z boxes_for_nms = boxes + offsets[:, None] 2025-12-04T08:57:40.5974501Z 2025-12-04T08:57:41.3587033Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:41.3587747Z 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 2025-12-04T08:57:41.3588322Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:57:41.3588518Z 2025-12-04T08:57:41.3589096Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:41.3589685Z 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 2025-12-04T08:57:41.3590260Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:57:41.3590525Z 2025-12-04T08:57:41.3590633Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:41.3591153Z 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 2025-12-04T08:57:41.3591701Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T08:57:41.3591889Z 2025-12-04T08:57:47.0013034Z cudagraph partition due to non gpu ops 2025-12-04T08:57:47.0013407Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:47.0014390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:57:47.0014958Z output_boxes.clip(results.image_size) 2025-12-04T08:57:47.0015375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T08:57:47.0015879Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T08:57:47.0016136Z 2025-12-04T08:57:47.0016229Z cudagraph partition due to non gpu ops 2025-12-04T08:57:47.0016466Z cudagraph partition due to non gpu ops 2025-12-04T08:57:47.0016718Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:47.0017224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T08:57:47.0017695Z output_boxes.clip(results.image_size) 2025-12-04T08:57:47.0018096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T08:57:47.0018568Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T08:57:47.0018742Z 2025-12-04T08:57:47.0018854Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:57:47.0019347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T08:57:47.0019831Z results = results[output_boxes.nonempty()] 2025-12-04T08:57:47.0020339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T08:57:47.0020776Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T08:57:47.0020944Z 2025-12-04T08:58:03.9478594Z Compilation time (from dynamo_timed): 55.532185951 2025-12-04T08:58:03.9478936Z pass 2025-12-04T08:58:03.9479267Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:58:03.9480188Z TIMING: gc:0.04851 entire_frame_compile:55.53219 _recursive_pre_grad_passes:0.03368 _recursive_joint_graph_passes:0.32618 async_compile.wait:5.58982 inductor_compile:23.49445 backend_compile:34.45207 _recursive_post_grad_passes:0.20809 code_gen:11.15952 total_wall_time:55.53219 2025-12-04T08:58:03.9481563Z 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 2025-12-04T08:58:03.9482301Z Dynamo produced 52 graphs covering 780 ops with 42 graph breaks (6 unique) 2025-12-04T08:58:07.5683532Z /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. 2025-12-04T08:58:07.5684412Z import pynvml # type: ignore[import] 2025-12-04T08:58:09.8788077Z 2025-12-04T08:58:23.0278400Z loading model: 0it [00:00, ?it/s]W1204 08:58:23.026000 5883 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. 2025-12-04T08:58:24.4877302Z 2025-12-04T08:58:24.4878281Z loading model: 0it [00:14, ?it/s] 2025-12-04T08:58:24.4890816Z cpu eval detectron2_fasterrcnn_r_101_fpn 2025-12-04T08:58:43.0634403Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_101_fpn. Setting accuracy check to cosine 2025-12-04T08:58:43.0822633Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:58:59.2107079Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:59:15.3059471Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T08:59:26.3309888Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3312717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T08:59:26.3314219Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:59:26.3314715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T08:59:26.3315198Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:59:26.3315680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:59:26.3316116Z return torch.as_tensor(x, device=device) 2025-12-04T08:59:26.3316280Z 2025-12-04T08:59:26.3316415Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3316906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T08:59:26.3317388Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:59:26.3317849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T08:59:26.3318302Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:59:26.3318749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:59:26.3319182Z return torch.as_tensor(x, device=device) 2025-12-04T08:59:26.3319333Z 2025-12-04T08:59:26.3319457Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3319918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T08:59:26.3320387Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:59:26.3320843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T08:59:26.3321494Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:59:26.3321951Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:59:26.3322380Z return torch.as_tensor(x, device=device) 2025-12-04T08:59:26.3322536Z 2025-12-04T08:59:26.3322651Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3323091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T08:59:26.3323558Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:59:26.3324014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T08:59:26.3324865Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T08:59:26.3325332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T08:59:26.3325752Z return torch.as_tensor(x, device=device) 2025-12-04T08:59:26.3325978Z 2025-12-04T08:59:26.3326092Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3326549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 89, in from_tensors 2025-12-04T08:59:26.3327014Z max_size = torch.stack(image_sizes_tensor).max(0).values 2025-12-04T08:59:26.3327194Z 2025-12-04T08:59:26.3327306Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:26.3327757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 101, in from_tensors 2025-12-04T08:59:26.3328260Z max_size = (max_size + (stride - 1)).div(stride, rounding_mode="floor") * stride 2025-12-04T08:59:26.3328526Z 2025-12-04T08:59:27.4302770Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4669768Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4672548Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4672847Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4673118Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4673340Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4673552Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4673769Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4673987Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4674208Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4674424Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4674643Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4674863Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4675181Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4675426Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4675650Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4675862Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4676084Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4676304Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4676517Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4676744Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4676961Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4677180Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4677392Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4677610Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4677831Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4678044Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4678265Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4678487Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4678749Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4678967Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4679176Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4679401Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4679622Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4679836Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4680054Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4680313Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4680537Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4680756Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4680998Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.4681351Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4681926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4682770Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4683215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4683649Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4684173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:59:47.4684665Z x = self.stem(x) 2025-12-04T08:59:47.4685054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward 2025-12-04T08:59:47.4685455Z x = self.conv1(x) 2025-12-04T08:59:47.4685809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4686186Z x = F.conv2d( 2025-12-04T08:59:47.4686290Z 2025-12-04T08:59:47.4686413Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4687001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4687497Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4687897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4688297Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4688693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:59:47.4689079Z x = self.stem(x) 2025-12-04T08:59:47.4689451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward 2025-12-04T08:59:47.4689842Z x = F.relu_(x) 2025-12-04T08:59:47.4689943Z 2025-12-04T08:59:47.4690051Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4690547Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4691073Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4691464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4691872Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4692268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T08:59:47.4692666Z x = self.stem(x) 2025-12-04T08:59:47.4693034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward 2025-12-04T08:59:47.4693496Z x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1) 2025-12-04T08:59:47.4693669Z 2025-12-04T08:59:47.4693789Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4694282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4694751Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4695147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4695542Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4695929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4696310Z x = stage(x) 2025-12-04T08:59:47.4696668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.4697056Z out = self.conv1(x) 2025-12-04T08:59:47.4697398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4697757Z x = F.conv2d( 2025-12-04T08:59:47.4697901Z 2025-12-04T08:59:47.4698021Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4698516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4698983Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4699415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4699811Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4700196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4700575Z x = stage(x) 2025-12-04T08:59:47.4700926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.4701308Z out = F.relu_(out) 2025-12-04T08:59:47.4701444Z 2025-12-04T08:59:47.4701556Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4702050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4702526Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4702922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4703310Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4703928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4704328Z x = stage(x) 2025-12-04T08:59:47.4704683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.4705084Z out = self.conv2(out) 2025-12-04T08:59:47.4705460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4705833Z x = F.conv2d( 2025-12-04T08:59:47.4705972Z 2025-12-04T08:59:47.4706084Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4706593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4707081Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4707484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4707908Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4708318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4708712Z x = stage(x) 2025-12-04T08:59:47.4709078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.4709479Z out = F.relu_(out) 2025-12-04T08:59:47.4709590Z 2025-12-04T08:59:47.4709708Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4710213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4710695Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4711102Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4711514Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4711918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4712324Z x = stage(x) 2025-12-04T08:59:47.4712686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.4713181Z out = self.conv3(out) 2025-12-04T08:59:47.4713548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4713925Z x = F.conv2d( 2025-12-04T08:59:47.4714022Z 2025-12-04T08:59:47.4714141Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4714676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4715161Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4715578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4716000Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4716407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4716844Z x = stage(x) 2025-12-04T08:59:47.4717209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:59:47.4717616Z shortcut = self.shortcut(x) 2025-12-04T08:59:47.4717984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4718362Z x = F.conv2d( 2025-12-04T08:59:47.4718461Z 2025-12-04T08:59:47.4718579Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4719080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4719564Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4719973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4720378Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4720787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4721522Z x = stage(x) 2025-12-04T08:59:47.4721910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.4722319Z out = self.conv1(x) 2025-12-04T08:59:47.4722670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4723045Z x = F.conv2d( 2025-12-04T08:59:47.4723143Z 2025-12-04T08:59:47.4723266Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4723786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4724280Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4724699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4725116Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4725519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4725918Z x = stage(x) 2025-12-04T08:59:47.4726279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.4726665Z out = F.relu_(out) 2025-12-04T08:59:47.4726785Z 2025-12-04T08:59:47.4726897Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4727644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4728141Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4728630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4729042Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4729444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4729850Z x = stage(x) 2025-12-04T08:59:47.4730245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.4730639Z out = self.conv2(out) 2025-12-04T08:59:47.4731005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4731381Z x = F.conv2d( 2025-12-04T08:59:47.4731479Z 2025-12-04T08:59:47.4731598Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4732092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4732620Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4733030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4733438Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4733843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4734232Z x = stage(x) 2025-12-04T08:59:47.4734590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.4734988Z out = F.relu_(out) 2025-12-04T08:59:47.4735104Z 2025-12-04T08:59:47.4735215Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4735721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4736208Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4736611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4737021Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4737435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4737836Z x = stage(x) 2025-12-04T08:59:47.4738192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.4738591Z out = self.conv3(out) 2025-12-04T08:59:47.4738948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4739320Z x = F.conv2d( 2025-12-04T08:59:47.4739427Z 2025-12-04T08:59:47.4739538Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4740047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4740539Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4740936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4741341Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4741753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4742146Z x = stage(x) 2025-12-04T08:59:47.4742505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.4742904Z out = F.relu_(out) 2025-12-04T08:59:47.4743013Z 2025-12-04T08:59:47.4743133Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4743679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4744185Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4744598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4745032Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4745443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4745876Z x = stage(x) 2025-12-04T08:59:47.4746240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.4746636Z out = self.conv1(x) 2025-12-04T08:59:47.4747011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4747388Z x = F.conv2d( 2025-12-04T08:59:47.4747508Z 2025-12-04T08:59:47.4747629Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4748130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4748609Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4749015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4749421Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4749819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4750212Z x = stage(x) 2025-12-04T08:59:47.4750568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.4750956Z out = F.relu_(out) 2025-12-04T08:59:47.4751073Z 2025-12-04T08:59:47.4751187Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4751684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4752173Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4752583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4752992Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4753397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4753777Z x = stage(x) 2025-12-04T08:59:47.4754127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.4754524Z out = self.conv2(out) 2025-12-04T08:59:47.4754882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4755248Z x = F.conv2d( 2025-12-04T08:59:47.4755353Z 2025-12-04T08:59:47.4755463Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4755970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4756458Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4756840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4757232Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4757628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4758001Z x = stage(x) 2025-12-04T08:59:47.4758364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.4758799Z out = F.relu_(out) 2025-12-04T08:59:47.4758911Z 2025-12-04T08:59:47.4759031Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4759537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4760042Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4760446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4760848Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4761375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4761806Z x = stage(x) 2025-12-04T08:59:47.4762171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.4763052Z out = self.conv3(out) 2025-12-04T08:59:47.4763406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4763766Z x = F.conv2d( 2025-12-04T08:59:47.4763859Z 2025-12-04T08:59:47.4763974Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4764474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4764958Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4765362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4765767Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4766166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4766546Z x = stage(x) 2025-12-04T08:59:47.4766900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.4767275Z out = F.relu_(out) 2025-12-04T08:59:47.4767391Z 2025-12-04T08:59:47.4767498Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4767989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4768477Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4768877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4769288Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4769696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4770081Z x = stage(x) 2025-12-04T08:59:47.4770446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.4770843Z out = self.conv1(x) 2025-12-04T08:59:47.4771197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4771556Z x = F.conv2d( 2025-12-04T08:59:47.4771662Z 2025-12-04T08:59:47.4771782Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4772269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4772743Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4773155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4773564Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4774021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4774418Z x = stage(x) 2025-12-04T08:59:47.4774769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.4775155Z out = F.relu_(out) 2025-12-04T08:59:47.4775290Z 2025-12-04T08:59:47.4775407Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4775898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4776380Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4776783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4777185Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4777596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4778060Z x = stage(x) 2025-12-04T08:59:47.4778417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.4778806Z out = self.conv2(out) 2025-12-04T08:59:47.4779163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4779534Z x = F.conv2d( 2025-12-04T08:59:47.4779629Z 2025-12-04T08:59:47.4779740Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4780246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4780723Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4781134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4781541Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4781948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4782334Z x = stage(x) 2025-12-04T08:59:47.4782687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.4783072Z out = F.relu_(out) 2025-12-04T08:59:47.4783185Z 2025-12-04T08:59:47.4783294Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4783797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4784267Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4784670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4785072Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4785482Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4785881Z x = stage(x) 2025-12-04T08:59:47.4786240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.4786648Z out = self.conv3(out) 2025-12-04T08:59:47.4787005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4787380Z x = F.conv2d( 2025-12-04T08:59:47.4787482Z 2025-12-04T08:59:47.4787588Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4788089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4788572Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4789048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4789461Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4789873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4790286Z x = stage(x) 2025-12-04T08:59:47.4790640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:59:47.4791051Z shortcut = self.shortcut(x) 2025-12-04T08:59:47.4791421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4791798Z x = F.conv2d( 2025-12-04T08:59:47.4791902Z 2025-12-04T08:59:47.4792013Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4792522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4793027Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4793438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4793851Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4794262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4794651Z x = stage(x) 2025-12-04T08:59:47.4795014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.4795419Z out = self.conv1(x) 2025-12-04T08:59:47.4795769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4796145Z x = F.conv2d( 2025-12-04T08:59:47.4796241Z 2025-12-04T08:59:47.4796362Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4796863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4797338Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4797737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4798152Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4798549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4798949Z x = stage(x) 2025-12-04T08:59:47.4799302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.4799701Z out = F.relu_(out) 2025-12-04T08:59:47.4799809Z 2025-12-04T08:59:47.4799918Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4800424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4800901Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4801417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4801842Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4802249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4802649Z x = stage(x) 2025-12-04T08:59:47.4802990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.4803569Z out = self.conv2(out) 2025-12-04T08:59:47.4803933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4804403Z x = F.conv2d( 2025-12-04T08:59:47.4804500Z 2025-12-04T08:59:47.4804607Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4805091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4805593Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4805977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4806383Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4806789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4807172Z x = stage(x) 2025-12-04T08:59:47.4807514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.4807936Z out = F.relu_(out) 2025-12-04T08:59:47.4808043Z 2025-12-04T08:59:47.4808156Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4808641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4809098Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4809487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4809877Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4810260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4810634Z x = stage(x) 2025-12-04T08:59:47.4810975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.4811359Z out = self.conv3(out) 2025-12-04T08:59:47.4811697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4812053Z x = F.conv2d( 2025-12-04T08:59:47.4812147Z 2025-12-04T08:59:47.4812262Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4812739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4813206Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4813592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4813986Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4814372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4814748Z x = stage(x) 2025-12-04T08:59:47.4815096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.4815479Z out = F.relu_(out) 2025-12-04T08:59:47.4815585Z 2025-12-04T08:59:47.4815695Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4816177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4816644Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4817024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4817417Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4817809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4818199Z x = stage(x) 2025-12-04T08:59:47.4818580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.4818966Z out = self.conv1(x) 2025-12-04T08:59:47.4819306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4819661Z x = F.conv2d( 2025-12-04T08:59:47.4819755Z 2025-12-04T08:59:47.4819885Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4820374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4820843Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4821230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4821639Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4822037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4822446Z x = stage(x) 2025-12-04T08:59:47.4822785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.4823258Z out = F.relu_(out) 2025-12-04T08:59:47.4823365Z 2025-12-04T08:59:47.4823483Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4823989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4824484Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4824884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4825297Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4825692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4826084Z x = stage(x) 2025-12-04T08:59:47.4826437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.4826839Z out = self.conv2(out) 2025-12-04T08:59:47.4827194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4827571Z x = F.conv2d( 2025-12-04T08:59:47.4827667Z 2025-12-04T08:59:47.4827783Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4828311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4828815Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4829235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4829659Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4830081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4830487Z x = stage(x) 2025-12-04T08:59:47.4830864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.4831307Z out = F.relu_(out) 2025-12-04T08:59:47.4831428Z 2025-12-04T08:59:47.4831537Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4832074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4832581Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4832988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4833414Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4833892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4834293Z x = stage(x) 2025-12-04T08:59:47.4834651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.4835066Z out = self.conv3(out) 2025-12-04T08:59:47.4835421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4835779Z x = F.conv2d( 2025-12-04T08:59:47.4835884Z 2025-12-04T08:59:47.4835993Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4836492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4836978Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4837391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4837844Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4838256Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4838651Z x = stage(x) 2025-12-04T08:59:47.4839002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.4839394Z out = F.relu_(out) 2025-12-04T08:59:47.4839501Z 2025-12-04T08:59:47.4839618Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4840110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4840591Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4840999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4841493Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4841894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4842282Z x = stage(x) 2025-12-04T08:59:47.4842639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.4843040Z out = self.conv1(x) 2025-12-04T08:59:47.4843396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4843755Z x = F.conv2d( 2025-12-04T08:59:47.4843851Z 2025-12-04T08:59:47.4843967Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4844450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4844919Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4845310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4845700Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4846089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4846476Z x = stage(x) 2025-12-04T08:59:47.4846821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.4847202Z out = F.relu_(out) 2025-12-04T08:59:47.4847313Z 2025-12-04T08:59:47.4847420Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4847908Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4848370Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4848802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4849193Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4849589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4849988Z x = stage(x) 2025-12-04T08:59:47.4850330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.4850716Z out = self.conv2(out) 2025-12-04T08:59:47.4851064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4851416Z x = F.conv2d( 2025-12-04T08:59:47.4851520Z 2025-12-04T08:59:47.4851629Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4852120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4852611Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4852995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4853393Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4853785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4854156Z x = stage(x) 2025-12-04T08:59:47.4854499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.4854874Z out = F.relu_(out) 2025-12-04T08:59:47.4854976Z 2025-12-04T08:59:47.4855089Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4855566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4856007Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4856374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4856743Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4857107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4857463Z x = stage(x) 2025-12-04T08:59:47.4857789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.4858146Z out = self.conv3(out) 2025-12-04T08:59:47.4858473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4858810Z x = F.conv2d( 2025-12-04T08:59:47.4858899Z 2025-12-04T08:59:47.4859013Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4859466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4859927Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4860318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4860705Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4861096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4861529Z x = stage(x) 2025-12-04T08:59:47.4861878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.4862259Z out = F.relu_(out) 2025-12-04T08:59:47.4862371Z 2025-12-04T08:59:47.4862476Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4863005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4863477Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4863861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4864282Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4864671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4865056Z x = stage(x) 2025-12-04T08:59:47.4865420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.4865811Z out = self.conv1(x) 2025-12-04T08:59:47.4866157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4866547Z x = F.conv2d( 2025-12-04T08:59:47.4866653Z 2025-12-04T08:59:47.4866763Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4867268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4867752Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4868137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4868535Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4868931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4869322Z x = stage(x) 2025-12-04T08:59:47.4869683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.4870086Z out = F.relu_(out) 2025-12-04T08:59:47.4870194Z 2025-12-04T08:59:47.4870311Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4870812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4871288Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4871690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4872084Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4872490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4872861Z x = stage(x) 2025-12-04T08:59:47.4873202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.4873584Z out = self.conv2(out) 2025-12-04T08:59:47.4873947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4874314Z x = F.conv2d( 2025-12-04T08:59:47.4874409Z 2025-12-04T08:59:47.4874518Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4875018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4875500Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4875898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4876295Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4876702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4877091Z x = stage(x) 2025-12-04T08:59:47.4877492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.4877879Z out = F.relu_(out) 2025-12-04T08:59:47.4877993Z 2025-12-04T08:59:47.4878103Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4878606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4879099Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4879501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4879903Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4880308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4880700Z x = stage(x) 2025-12-04T08:59:47.4881057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.4881569Z out = self.conv3(out) 2025-12-04T08:59:47.4881932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4882305Z x = F.conv2d( 2025-12-04T08:59:47.4882415Z 2025-12-04T08:59:47.4882524Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4883025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4883498Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4883902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4884314Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4884721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4885100Z x = stage(x) 2025-12-04T08:59:47.4885456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:59:47.4885869Z shortcut = self.shortcut(x) 2025-12-04T08:59:47.4886227Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4886598Z x = F.conv2d( 2025-12-04T08:59:47.4886702Z 2025-12-04T08:59:47.4886813Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4887315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4887788Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4888188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4888596Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4889000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4889394Z x = stage(x) 2025-12-04T08:59:47.4889750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.4890154Z out = self.conv1(x) 2025-12-04T08:59:47.4890494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4890860Z x = F.conv2d( 2025-12-04T08:59:47.4890964Z 2025-12-04T08:59:47.4891085Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4891587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4892067Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4892530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4892953Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4893370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4893802Z x = stage(x) 2025-12-04T08:59:47.4894172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.4894572Z out = F.relu_(out) 2025-12-04T08:59:47.4894680Z 2025-12-04T08:59:47.4894789Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4895290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4895776Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4896209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4896623Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4897029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4897439Z x = stage(x) 2025-12-04T08:59:47.4897794Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.4898204Z out = self.conv2(out) 2025-12-04T08:59:47.4898562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4898934Z x = F.conv2d( 2025-12-04T08:59:47.4899030Z 2025-12-04T08:59:47.4899141Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4899644Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4900121Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4900522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4900905Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4901301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4901687Z x = stage(x) 2025-12-04T08:59:47.4902029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.4902467Z out = F.relu_(out) 2025-12-04T08:59:47.4902571Z 2025-12-04T08:59:47.4902686Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4903176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4903789Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4904189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4904589Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4904985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4905375Z x = stage(x) 2025-12-04T08:59:47.4905726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.4906124Z out = self.conv3(out) 2025-12-04T08:59:47.4906466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4906827Z x = F.conv2d( 2025-12-04T08:59:47.4906921Z 2025-12-04T08:59:47.4907038Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4907606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4908068Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4908459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4908900Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4909287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4909680Z x = stage(x) 2025-12-04T08:59:47.4910029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.4910423Z out = F.relu_(out) 2025-12-04T08:59:47.4910529Z 2025-12-04T08:59:47.4910636Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4911162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4911631Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4912023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4912408Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4912799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4913178Z x = stage(x) 2025-12-04T08:59:47.4913513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.4913893Z out = self.conv1(x) 2025-12-04T08:59:47.4914233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4914594Z x = F.conv2d( 2025-12-04T08:59:47.4914693Z 2025-12-04T08:59:47.4914799Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4915291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4915758Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4916144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4916536Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4916927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4917303Z x = stage(x) 2025-12-04T08:59:47.4917640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.4918022Z out = F.relu_(out) 2025-12-04T08:59:47.4918128Z 2025-12-04T08:59:47.4918247Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4918733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4919191Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4919583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4919972Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4920355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4920732Z x = stage(x) 2025-12-04T08:59:47.4921079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.4921535Z out = self.conv2(out) 2025-12-04T08:59:47.4921938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4922312Z x = F.conv2d( 2025-12-04T08:59:47.4922409Z 2025-12-04T08:59:47.4922528Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4923028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4923540Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4923949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4924366Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4924766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4925148Z x = stage(x) 2025-12-04T08:59:47.4925511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.4925932Z out = F.relu_(out) 2025-12-04T08:59:47.4926039Z 2025-12-04T08:59:47.4926147Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4926646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4927130Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4927525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4927941Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4928352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4928749Z x = stage(x) 2025-12-04T08:59:47.4929103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.4929502Z out = self.conv3(out) 2025-12-04T08:59:47.4929856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4930222Z x = F.conv2d( 2025-12-04T08:59:47.4930328Z 2025-12-04T08:59:47.4930440Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4930944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4931425Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4931827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4932241Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4932659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4933061Z x = stage(x) 2025-12-04T08:59:47.4933418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.4933874Z out = F.relu_(out) 2025-12-04T08:59:47.4933980Z 2025-12-04T08:59:47.4934098Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4934592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4935083Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4935490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4935874Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4936248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4936641Z x = stage(x) 2025-12-04T08:59:47.4937028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.4937399Z out = self.conv1(x) 2025-12-04T08:59:47.4937713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4938075Z x = F.conv2d( 2025-12-04T08:59:47.4938163Z 2025-12-04T08:59:47.4938269Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4938728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4939198Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4939596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4940024Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4940419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4940778Z x = stage(x) 2025-12-04T08:59:47.4941146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.4941529Z out = F.relu_(out) 2025-12-04T08:59:47.4941641Z 2025-12-04T08:59:47.4941750Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4942239Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4942705Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4943087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4943490Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4943887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4944268Z x = stage(x) 2025-12-04T08:59:47.4944609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.4944994Z out = self.conv2(out) 2025-12-04T08:59:47.4945340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4945706Z x = F.conv2d( 2025-12-04T08:59:47.4945808Z 2025-12-04T08:59:47.4945913Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4946397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4946861Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4947226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4947597Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4947969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4948318Z x = stage(x) 2025-12-04T08:59:47.4948646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.4949010Z out = F.relu_(out) 2025-12-04T08:59:47.4949105Z 2025-12-04T08:59:47.4949213Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4949668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4950133Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4950525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4950974Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4951367Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4951820Z x = stage(x) 2025-12-04T08:59:47.4952148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.4952542Z out = self.conv3(out) 2025-12-04T08:59:47.4952888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4953247Z x = F.conv2d( 2025-12-04T08:59:47.4953341Z 2025-12-04T08:59:47.4953455Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4953931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4954394Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4954814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4955211Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4955597Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4955981Z x = stage(x) 2025-12-04T08:59:47.4956330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.4956709Z out = F.relu_(out) 2025-12-04T08:59:47.4956821Z 2025-12-04T08:59:47.4956927Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4957422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4957893Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4958285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4958682Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4959078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4959456Z x = stage(x) 2025-12-04T08:59:47.4959806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.4960192Z out = self.conv1(x) 2025-12-04T08:59:47.4960539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4960895Z x = F.conv2d( 2025-12-04T08:59:47.4961000Z 2025-12-04T08:59:47.4961112Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4961706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4962196Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4962596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4962988Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4963387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4963768Z x = stage(x) 2025-12-04T08:59:47.4964120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.4964523Z out = F.relu_(out) 2025-12-04T08:59:47.4964627Z 2025-12-04T08:59:47.4964740Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4965264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4965739Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4966131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4966515Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4966932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4967314Z x = stage(x) 2025-12-04T08:59:47.4967660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.4968046Z out = self.conv2(out) 2025-12-04T08:59:47.4968390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4968752Z x = F.conv2d( 2025-12-04T08:59:47.4968847Z 2025-12-04T08:59:47.4968964Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4969474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4969944Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4970332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4970728Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4971123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4971511Z x = stage(x) 2025-12-04T08:59:47.4971857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.4972237Z out = F.relu_(out) 2025-12-04T08:59:47.4972348Z 2025-12-04T08:59:47.4972455Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4972945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4973410Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4973792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4974184Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4974578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4974951Z x = stage(x) 2025-12-04T08:59:47.4975298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.4975685Z out = self.conv3(out) 2025-12-04T08:59:47.4976031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4976384Z x = F.conv2d( 2025-12-04T08:59:47.4976486Z 2025-12-04T08:59:47.4976593Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4977082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4977544Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4977936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4978328Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4978722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4979093Z x = stage(x) 2025-12-04T08:59:47.4979444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.4979827Z out = F.relu_(out) 2025-12-04T08:59:47.4980041Z 2025-12-04T08:59:47.4980157Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4980631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4981102Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4981522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4981916Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4982323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4982710Z x = stage(x) 2025-12-04T08:59:47.4983065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.4983446Z out = self.conv1(x) 2025-12-04T08:59:47.4983813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4984167Z x = F.conv2d( 2025-12-04T08:59:47.4984259Z 2025-12-04T08:59:47.4984365Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4984854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4985324Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4985715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4986098Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4986493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4986878Z x = stage(x) 2025-12-04T08:59:47.4987228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.4987602Z out = F.relu_(out) 2025-12-04T08:59:47.4987712Z 2025-12-04T08:59:47.4987821Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4988303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4988767Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4989339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4989759Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4990162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4990558Z x = stage(x) 2025-12-04T08:59:47.4990927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.4991331Z out = self.conv2(out) 2025-12-04T08:59:47.4991685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.4992062Z x = F.conv2d( 2025-12-04T08:59:47.4992168Z 2025-12-04T08:59:47.4992284Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4992796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4993280Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4993684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4994100Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4994517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4994960Z x = stage(x) 2025-12-04T08:59:47.4995330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.4995737Z out = F.relu_(out) 2025-12-04T08:59:47.4995847Z 2025-12-04T08:59:47.4995960Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.4996484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.4996974Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.4997387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.4997797Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.4998216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.4998647Z x = stage(x) 2025-12-04T08:59:47.4999021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.4999424Z out = self.conv3(out) 2025-12-04T08:59:47.4999784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5000159Z x = F.conv2d( 2025-12-04T08:59:47.5000256Z 2025-12-04T08:59:47.5000367Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5000874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5001433Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5001848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5002272Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5002696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5003109Z x = stage(x) 2025-12-04T08:59:47.5003641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5004048Z out = F.relu_(out) 2025-12-04T08:59:47.5004165Z 2025-12-04T08:59:47.5004275Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5004781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5005273Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5005680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5006091Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5006510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5006899Z x = stage(x) 2025-12-04T08:59:47.5007256Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5007655Z out = self.conv1(x) 2025-12-04T08:59:47.5008000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5008371Z x = F.conv2d( 2025-12-04T08:59:47.5008467Z 2025-12-04T08:59:47.5008584Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5009085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5009561Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5010067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5010483Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5010887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5011282Z x = stage(x) 2025-12-04T08:59:47.5011684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5012089Z out = F.relu_(out) 2025-12-04T08:59:47.5012200Z 2025-12-04T08:59:47.5012313Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5012829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5013310Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5013717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5014169Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5014582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5014970Z x = stage(x) 2025-12-04T08:59:47.5015317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5015729Z out = self.conv2(out) 2025-12-04T08:59:47.5016083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5016455Z x = F.conv2d( 2025-12-04T08:59:47.5016563Z 2025-12-04T08:59:47.5016674Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5017165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5017648Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5018041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5018426Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5018823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5024630Z x = stage(x) 2025-12-04T08:59:47.5025160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5025580Z out = F.relu_(out) 2025-12-04T08:59:47.5025697Z 2025-12-04T08:59:47.5025819Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5026348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5026841Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5027273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5027682Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5028095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5028482Z x = stage(x) 2025-12-04T08:59:47.5028838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5029231Z out = self.conv3(out) 2025-12-04T08:59:47.5029583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5029939Z x = F.conv2d( 2025-12-04T08:59:47.5030043Z 2025-12-04T08:59:47.5030157Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5030783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5031276Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5031684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5032136Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5032534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5032915Z x = stage(x) 2025-12-04T08:59:47.5033264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5033659Z out = F.relu_(out) 2025-12-04T08:59:47.5033769Z 2025-12-04T08:59:47.5033887Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5034388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5034901Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5035304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5035720Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5036124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5036514Z x = stage(x) 2025-12-04T08:59:47.5036893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5037293Z out = self.conv1(x) 2025-12-04T08:59:47.5037655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5038024Z x = F.conv2d( 2025-12-04T08:59:47.5038131Z 2025-12-04T08:59:47.5038249Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5038752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5039236Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5039642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5040050Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5040463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5040852Z x = stage(x) 2025-12-04T08:59:47.5041530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5041942Z out = F.relu_(out) 2025-12-04T08:59:47.5042053Z 2025-12-04T08:59:47.5042172Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5042680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5043172Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5043576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5043988Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5044403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5044801Z x = stage(x) 2025-12-04T08:59:47.5045161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5045555Z out = self.conv2(out) 2025-12-04T08:59:47.5045905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5046311Z x = F.conv2d( 2025-12-04T08:59:47.5046407Z 2025-12-04T08:59:47.5046520Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5047013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5047518Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5047935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5048346Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5048742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5049130Z x = stage(x) 2025-12-04T08:59:47.5049497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5049899Z out = F.relu_(out) 2025-12-04T08:59:47.5050013Z 2025-12-04T08:59:47.5050121Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5050614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5051088Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5051476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5051868Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5052263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5052643Z x = stage(x) 2025-12-04T08:59:47.5052997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5053392Z out = self.conv3(out) 2025-12-04T08:59:47.5053749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5054098Z x = F.conv2d( 2025-12-04T08:59:47.5054201Z 2025-12-04T08:59:47.5054310Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5054801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5055273Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5055661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5056058Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5056454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5056828Z x = stage(x) 2025-12-04T08:59:47.5057181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5057564Z out = F.relu_(out) 2025-12-04T08:59:47.5057668Z 2025-12-04T08:59:47.5057783Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5058277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5058761Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5059167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5059573Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5059979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5060364Z x = stage(x) 2025-12-04T08:59:47.5060747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5061126Z out = self.conv1(x) 2025-12-04T08:59:47.5061471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5061832Z x = F.conv2d( 2025-12-04T08:59:47.5061966Z 2025-12-04T08:59:47.5062079Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5062562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5063029Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5063425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5063810Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5064211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5064613Z x = stage(x) 2025-12-04T08:59:47.5064963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5065369Z out = F.relu_(out) 2025-12-04T08:59:47.5065479Z 2025-12-04T08:59:47.5065590Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5066082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5066549Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5066931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5067324Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5067719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5068094Z x = stage(x) 2025-12-04T08:59:47.5068446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5068831Z out = self.conv2(out) 2025-12-04T08:59:47.5069176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5069530Z x = F.conv2d( 2025-12-04T08:59:47.5069633Z 2025-12-04T08:59:47.5069742Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5070232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5070696Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5071086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5071481Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5071883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5072254Z x = stage(x) 2025-12-04T08:59:47.5072610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5073011Z out = F.relu_(out) 2025-12-04T08:59:47.5073119Z 2025-12-04T08:59:47.5073236Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5073719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5074192Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5074588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5074985Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5075421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5075799Z x = stage(x) 2025-12-04T08:59:47.5076148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5076557Z out = self.conv3(out) 2025-12-04T08:59:47.5076911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5077282Z x = F.conv2d( 2025-12-04T08:59:47.5077377Z 2025-12-04T08:59:47.5077484Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5077977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5078448Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5078857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5079272Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5079684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5080077Z x = stage(x) 2025-12-04T08:59:47.5080439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5080825Z out = F.relu_(out) 2025-12-04T08:59:47.5080939Z 2025-12-04T08:59:47.5081050Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5081665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5082150Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5082586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5082995Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5083416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5083815Z x = stage(x) 2025-12-04T08:59:47.5084193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5084610Z out = self.conv1(x) 2025-12-04T08:59:47.5084964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5085351Z x = F.conv2d( 2025-12-04T08:59:47.5085456Z 2025-12-04T08:59:47.5085566Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5086072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5086559Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5086985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5087394Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5087820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5088224Z x = stage(x) 2025-12-04T08:59:47.5088598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5088993Z out = F.relu_(out) 2025-12-04T08:59:47.5089102Z 2025-12-04T08:59:47.5089213Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5089726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5090214Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5090675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5091081Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5091491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5091918Z x = stage(x) 2025-12-04T08:59:47.5092277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5092677Z out = self.conv2(out) 2025-12-04T08:59:47.5093034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5093404Z x = F.conv2d( 2025-12-04T08:59:47.5093504Z 2025-12-04T08:59:47.5093618Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5094141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5094651Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5095056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5095458Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5095867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5096258Z x = stage(x) 2025-12-04T08:59:47.5096599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5096983Z out = F.relu_(out) 2025-12-04T08:59:47.5097095Z 2025-12-04T08:59:47.5097205Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5097699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5098165Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5098560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5098965Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5099364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5099748Z x = stage(x) 2025-12-04T08:59:47.5100097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5100487Z out = self.conv3(out) 2025-12-04T08:59:47.5100828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5101195Z x = F.conv2d( 2025-12-04T08:59:47.5101298Z 2025-12-04T08:59:47.5101411Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5101906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5102373Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5102779Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5103182Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5103813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5104196Z x = stage(x) 2025-12-04T08:59:47.5104552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5104937Z out = F.relu_(out) 2025-12-04T08:59:47.5105044Z 2025-12-04T08:59:47.5105336Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5105836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5106322Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5106726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5107152Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5107562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5107951Z x = stage(x) 2025-12-04T08:59:47.5108299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5108689Z out = self.conv1(x) 2025-12-04T08:59:47.5109042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5109447Z x = F.conv2d( 2025-12-04T08:59:47.5109544Z 2025-12-04T08:59:47.5109653Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5110151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5110625Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5111032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5111422Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5111824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5112212Z x = stage(x) 2025-12-04T08:59:47.5112553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5112936Z out = F.relu_(out) 2025-12-04T08:59:47.5113046Z 2025-12-04T08:59:47.5113153Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5113645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5114106Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5114496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5114900Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5115286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5115678Z x = stage(x) 2025-12-04T08:59:47.5116026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5116412Z out = self.conv2(out) 2025-12-04T08:59:47.5116756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5117119Z x = F.conv2d( 2025-12-04T08:59:47.5117213Z 2025-12-04T08:59:47.5117327Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5117826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5118290Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5118681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5119072Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5119458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5119844Z x = stage(x) 2025-12-04T08:59:47.5120270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5120668Z out = F.relu_(out) 2025-12-04T08:59:47.5120771Z 2025-12-04T08:59:47.5120877Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5121450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5122001Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5122421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5122836Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5123250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5123661Z x = stage(x) 2025-12-04T08:59:47.5124030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5124465Z out = self.conv3(out) 2025-12-04T08:59:47.5124828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5125209Z x = F.conv2d( 2025-12-04T08:59:47.5125309Z 2025-12-04T08:59:47.5125420Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5125925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5126425Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5126841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5127257Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5127683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5128091Z x = stage(x) 2025-12-04T08:59:47.5128458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5128969Z out = F.relu_(out) 2025-12-04T08:59:47.5129102Z 2025-12-04T08:59:47.5129277Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5130086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5130616Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5131159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5131689Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5132144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5132622Z x = stage(x) 2025-12-04T08:59:47.5133085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5133571Z out = self.conv1(x) 2025-12-04T08:59:47.5133975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5134468Z x = F.conv2d( 2025-12-04T08:59:47.5134587Z 2025-12-04T08:59:47.5134753Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5135334Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5135923Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5136453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5136996Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5137503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5137947Z x = stage(x) 2025-12-04T08:59:47.5157198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5157852Z out = F.relu_(out) 2025-12-04T08:59:47.5157979Z 2025-12-04T08:59:47.5158121Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5158658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5159177Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5159617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5160047Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5160520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5160926Z x = stage(x) 2025-12-04T08:59:47.5161431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5161847Z out = self.conv2(out) 2025-12-04T08:59:47.5162214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5162589Z x = F.conv2d( 2025-12-04T08:59:47.5162692Z 2025-12-04T08:59:47.5162815Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5163324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5163814Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5164230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5164637Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5165048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5165447Z x = stage(x) 2025-12-04T08:59:47.5165809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5166195Z out = F.relu_(out) 2025-12-04T08:59:47.5166314Z 2025-12-04T08:59:47.5166425Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5166927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5167408Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5167806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5168210Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5168625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5169004Z x = stage(x) 2025-12-04T08:59:47.5169374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5169759Z out = self.conv3(out) 2025-12-04T08:59:47.5170108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5170460Z x = F.conv2d( 2025-12-04T08:59:47.5170564Z 2025-12-04T08:59:47.5170674Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5171162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5171681Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5172076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5172472Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5172865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5173256Z x = stage(x) 2025-12-04T08:59:47.5173605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5173988Z out = F.relu_(out) 2025-12-04T08:59:47.5174096Z 2025-12-04T08:59:47.5174210Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5174689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5175199Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5175588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5175970Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5176362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5176743Z x = stage(x) 2025-12-04T08:59:47.5177088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5177463Z out = self.conv1(x) 2025-12-04T08:59:47.5177807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5178165Z x = F.conv2d( 2025-12-04T08:59:47.5178262Z 2025-12-04T08:59:47.5178368Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5178857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5179324Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5179715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5180104Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5180499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5180880Z x = stage(x) 2025-12-04T08:59:47.5181225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5181599Z out = F.relu_(out) 2025-12-04T08:59:47.5181713Z 2025-12-04T08:59:47.5181819Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5182307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5182781Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5183173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5183567Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5183969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5184339Z x = stage(x) 2025-12-04T08:59:47.5184692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5185057Z out = self.conv2(out) 2025-12-04T08:59:47.5185390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5185746Z x = F.conv2d( 2025-12-04T08:59:47.5185847Z 2025-12-04T08:59:47.5185996Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5186494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5186972Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5187379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5187768Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5188156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5188528Z x = stage(x) 2025-12-04T08:59:47.5188875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5189259Z out = F.relu_(out) 2025-12-04T08:59:47.5189364Z 2025-12-04T08:59:47.5189491Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5189979Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5190442Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5190838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5191225Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5191623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5192004Z x = stage(x) 2025-12-04T08:59:47.5192349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5192726Z out = self.conv3(out) 2025-12-04T08:59:47.5193074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5193432Z x = F.conv2d( 2025-12-04T08:59:47.5193529Z 2025-12-04T08:59:47.5193638Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5194126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5194593Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5194984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5195369Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5195766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5196147Z x = stage(x) 2025-12-04T08:59:47.5196484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5196871Z out = F.relu_(out) 2025-12-04T08:59:47.5196985Z 2025-12-04T08:59:47.5197091Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5197578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5198048Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5198436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5198841Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5199248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5199639Z x = stage(x) 2025-12-04T08:59:47.5199985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5200416Z out = self.conv1(x) 2025-12-04T08:59:47.5200764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5201119Z x = F.conv2d( 2025-12-04T08:59:47.5201303Z 2025-12-04T08:59:47.5201421Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5201956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5202442Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5202843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5203252Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5204003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5204398Z x = stage(x) 2025-12-04T08:59:47.5204846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5205239Z out = F.relu_(out) 2025-12-04T08:59:47.5205348Z 2025-12-04T08:59:47.5205463Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5205956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5206452Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5206860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5207269Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5207669Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5208063Z x = stage(x) 2025-12-04T08:59:47.5208432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5208827Z out = self.conv2(out) 2025-12-04T08:59:47.5209188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5209564Z x = F.conv2d( 2025-12-04T08:59:47.5209662Z 2025-12-04T08:59:47.5209779Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5210275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5210766Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5211176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5211580Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5211983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5212371Z x = stage(x) 2025-12-04T08:59:47.5212727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5213110Z out = F.relu_(out) 2025-12-04T08:59:47.5213229Z 2025-12-04T08:59:47.5213534Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5214034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5214510Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5214905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5215312Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5215784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5216183Z x = stage(x) 2025-12-04T08:59:47.5216536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5216937Z out = self.conv3(out) 2025-12-04T08:59:47.5217296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5217696Z x = F.conv2d( 2025-12-04T08:59:47.5217800Z 2025-12-04T08:59:47.5217909Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5218396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5218862Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5219244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5219662Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5220062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5220443Z x = stage(x) 2025-12-04T08:59:47.5220786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5221167Z out = F.relu_(out) 2025-12-04T08:59:47.5221272Z 2025-12-04T08:59:47.5221387Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5221875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5222352Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5222739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5223137Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5223540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5223928Z x = stage(x) 2025-12-04T08:59:47.5224287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5224673Z out = self.conv1(x) 2025-12-04T08:59:47.5225024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5225412Z x = F.conv2d( 2025-12-04T08:59:47.5225506Z 2025-12-04T08:59:47.5225618Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5226095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5226558Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5226965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5227368Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5227763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5228152Z x = stage(x) 2025-12-04T08:59:47.5228504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5228888Z out = F.relu_(out) 2025-12-04T08:59:47.5229003Z 2025-12-04T08:59:47.5229112Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5229610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5230070Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5230530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5230938Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5231342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5231719Z x = stage(x) 2025-12-04T08:59:47.5232108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5232501Z out = self.conv2(out) 2025-12-04T08:59:47.5232856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5233214Z x = F.conv2d( 2025-12-04T08:59:47.5233320Z 2025-12-04T08:59:47.5233429Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5233930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5234440Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5234838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5235243Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5235659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5236045Z x = stage(x) 2025-12-04T08:59:47.5236405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5236802Z out = F.relu_(out) 2025-12-04T08:59:47.5236910Z 2025-12-04T08:59:47.5237028Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5237525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5238014Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5238418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5238825Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5239222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5239615Z x = stage(x) 2025-12-04T08:59:47.5239974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5240363Z out = self.conv3(out) 2025-12-04T08:59:47.5240718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5241087Z x = F.conv2d( 2025-12-04T08:59:47.5241453Z 2025-12-04T08:59:47.5241580Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5242090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5242578Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5242987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5243389Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5243807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5244202Z x = stage(x) 2025-12-04T08:59:47.5244563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5244954Z out = F.relu_(out) 2025-12-04T08:59:47.5245069Z 2025-12-04T08:59:47.5245178Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5245734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5246218Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5246610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5247041Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5247447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5247832Z x = stage(x) 2025-12-04T08:59:47.5248190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5248592Z out = self.conv1(x) 2025-12-04T08:59:47.5248937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5249289Z x = F.conv2d( 2025-12-04T08:59:47.5249415Z 2025-12-04T08:59:47.5249526Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5250025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5250500Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5250891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5251279Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5251674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5252042Z x = stage(x) 2025-12-04T08:59:47.5252388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5252772Z out = F.relu_(out) 2025-12-04T08:59:47.5252877Z 2025-12-04T08:59:47.5252995Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5253471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5253936Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5254326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5254715Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5255101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5255476Z x = stage(x) 2025-12-04T08:59:47.5255820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5256196Z out = self.conv2(out) 2025-12-04T08:59:47.5256543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5256899Z x = F.conv2d( 2025-12-04T08:59:47.5256993Z 2025-12-04T08:59:47.5257106Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5257586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5258054Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5258444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5258829Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5259227Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5259606Z x = stage(x) 2025-12-04T08:59:47.5260000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5260375Z out = F.relu_(out) 2025-12-04T08:59:47.5260487Z 2025-12-04T08:59:47.5260593Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5261080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5261579Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5261981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5262374Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5262772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5263142Z x = stage(x) 2025-12-04T08:59:47.5263490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5263904Z out = self.conv3(out) 2025-12-04T08:59:47.5264251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5264602Z x = F.conv2d( 2025-12-04T08:59:47.5264703Z 2025-12-04T08:59:47.5264810Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5265302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5265767Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5266159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5266551Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5266946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5267318Z x = stage(x) 2025-12-04T08:59:47.5267666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5268044Z out = F.relu_(out) 2025-12-04T08:59:47.5268149Z 2025-12-04T08:59:47.5268260Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5268743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5269212Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5269600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5269986Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5270381Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5270760Z x = stage(x) 2025-12-04T08:59:47.5271112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5271492Z out = self.conv1(x) 2025-12-04T08:59:47.5271833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5272192Z x = F.conv2d( 2025-12-04T08:59:47.5272288Z 2025-12-04T08:59:47.5272398Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5272902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5273405Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5273795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5274194Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5274646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5275039Z x = stage(x) 2025-12-04T08:59:47.5275396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5275782Z out = F.relu_(out) 2025-12-04T08:59:47.5275917Z 2025-12-04T08:59:47.5276024Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5276520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5276990Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5277387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5277791Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5278195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5278619Z x = stage(x) 2025-12-04T08:59:47.5278976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5279370Z out = self.conv2(out) 2025-12-04T08:59:47.5279720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5280088Z x = F.conv2d( 2025-12-04T08:59:47.5280194Z 2025-12-04T08:59:47.5280304Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5280806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5281368Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5281778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5282194Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5282605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5282990Z x = stage(x) 2025-12-04T08:59:47.5283352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5283753Z out = F.relu_(out) 2025-12-04T08:59:47.5283864Z 2025-12-04T08:59:47.5283978Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5284488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5284974Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5285376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5285784Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5286209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5286597Z x = stage(x) 2025-12-04T08:59:47.5286955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5287348Z out = self.conv3(out) 2025-12-04T08:59:47.5287704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5288072Z x = F.conv2d( 2025-12-04T08:59:47.5288169Z 2025-12-04T08:59:47.5288288Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5288790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5289287Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5289763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5290169Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5290564Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5291038Z x = stage(x) 2025-12-04T08:59:47.5291411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5291789Z out = F.relu_(out) 2025-12-04T08:59:47.5291903Z 2025-12-04T08:59:47.5292009Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5292494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5292969Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5293354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5293777Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5294169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5294548Z x = stage(x) 2025-12-04T08:59:47.5294887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5295272Z out = self.conv1(x) 2025-12-04T08:59:47.5295611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5295964Z x = F.conv2d( 2025-12-04T08:59:47.5296065Z 2025-12-04T08:59:47.5296170Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5296492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5296584Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5296830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5296922Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5297185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5297249Z x = stage(x) 2025-12-04T08:59:47.5297519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5297587Z out = F.relu_(out) 2025-12-04T08:59:47.5297591Z 2025-12-04T08:59:47.5297709Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5298040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5298134Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5298396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5298483Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5298745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5298820Z x = stage(x) 2025-12-04T08:59:47.5299080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5299159Z out = self.conv2(out) 2025-12-04T08:59:47.5299396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5299461Z x = F.conv2d( 2025-12-04T08:59:47.5299465Z 2025-12-04T08:59:47.5299581Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5299951Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5300049Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5300300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5300405Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5300675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5300739Z x = stage(x) 2025-12-04T08:59:47.5301001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5301076Z out = F.relu_(out) 2025-12-04T08:59:47.5301080Z 2025-12-04T08:59:47.5301188Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5301528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5301641Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5301891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5301987Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5302243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5302313Z x = stage(x) 2025-12-04T08:59:47.5302571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5302641Z out = self.conv3(out) 2025-12-04T08:59:47.5302884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5302950Z x = F.conv2d( 2025-12-04T08:59:47.5302957Z 2025-12-04T08:59:47.5303065Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5303646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5303744Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5304013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5304102Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5304359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5304433Z x = stage(x) 2025-12-04T08:59:47.5304692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5304767Z out = F.relu_(out) 2025-12-04T08:59:47.5304774Z 2025-12-04T08:59:47.5304886Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5305211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5305308Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5305561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5305646Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5305913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5305976Z x = stage(x) 2025-12-04T08:59:47.5306241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5306311Z out = self.conv1(x) 2025-12-04T08:59:47.5306629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5306706Z x = F.conv2d( 2025-12-04T08:59:47.5306710Z 2025-12-04T08:59:47.5306819Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5307151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5307262Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5307508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5307602Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5307858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5307921Z x = stage(x) 2025-12-04T08:59:47.5308191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5308293Z out = F.relu_(out) 2025-12-04T08:59:47.5308296Z 2025-12-04T08:59:47.5308415Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5308745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5308834Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5309092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5309175Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5309440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5309502Z x = stage(x) 2025-12-04T08:59:47.5309759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5309844Z out = self.conv2(out) 2025-12-04T08:59:47.5310083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5310146Z x = F.conv2d( 2025-12-04T08:59:47.5310150Z 2025-12-04T08:59:47.5310265Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5310592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5310685Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5310935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5311018Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5311285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5311354Z x = stage(x) 2025-12-04T08:59:47.5311614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5311686Z out = F.relu_(out) 2025-12-04T08:59:47.5311690Z 2025-12-04T08:59:47.5311799Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5312136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5312222Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5312472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5312563Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5312818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5312889Z x = stage(x) 2025-12-04T08:59:47.5313193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5313265Z out = self.conv3(out) 2025-12-04T08:59:47.5313508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5313589Z x = F.conv2d( 2025-12-04T08:59:47.5313593Z 2025-12-04T08:59:47.5313704Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5314036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5314122Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5314378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5314461Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5314741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5314813Z x = stage(x) 2025-12-04T08:59:47.5315070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5315148Z out = F.relu_(out) 2025-12-04T08:59:47.5315152Z 2025-12-04T08:59:47.5315260Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5315588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5315681Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5315935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5316018Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5316287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5316351Z x = stage(x) 2025-12-04T08:59:47.5316616Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5316685Z out = self.conv1(x) 2025-12-04T08:59:47.5316925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5316998Z x = F.conv2d( 2025-12-04T08:59:47.5317002Z 2025-12-04T08:59:47.5317113Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5317449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5317536Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5317787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5317884Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5318142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5318206Z x = stage(x) 2025-12-04T08:59:47.5318473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5318542Z out = F.relu_(out) 2025-12-04T08:59:47.5318546Z 2025-12-04T08:59:47.5318662Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5318989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5319077Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5319335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5319472Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5319739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5319802Z x = stage(x) 2025-12-04T08:59:47.5320061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5320159Z out = self.conv2(out) 2025-12-04T08:59:47.5320399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5320464Z x = F.conv2d( 2025-12-04T08:59:47.5320468Z 2025-12-04T08:59:47.5320586Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5320913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5321010Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5321346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5321436Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5321706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5321769Z x = stage(x) 2025-12-04T08:59:47.5322024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5322101Z out = F.relu_(out) 2025-12-04T08:59:47.5322105Z 2025-12-04T08:59:47.5322214Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5322547Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5322633Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5322887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5322980Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5323237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5323311Z x = stage(x) 2025-12-04T08:59:47.5323570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5323642Z out = self.conv3(out) 2025-12-04T08:59:47.5323887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5323951Z x = F.conv2d( 2025-12-04T08:59:47.5323954Z 2025-12-04T08:59:47.5324063Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5324400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5324490Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5324748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5324834Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5325093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5325165Z x = stage(x) 2025-12-04T08:59:47.5325424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5325496Z out = F.relu_(out) 2025-12-04T08:59:47.5325500Z 2025-12-04T08:59:47.5325608Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5325977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5326075Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5326323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5326404Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5326688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5326750Z x = stage(x) 2025-12-04T08:59:47.5327015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5327084Z out = self.conv1(x) 2025-12-04T08:59:47.5327322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5327394Z x = F.conv2d( 2025-12-04T08:59:47.5327398Z 2025-12-04T08:59:47.5327507Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5327867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5327954Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5328200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5328295Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5328556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5328617Z x = stage(x) 2025-12-04T08:59:47.5328874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5328940Z out = F.relu_(out) 2025-12-04T08:59:47.5328944Z 2025-12-04T08:59:47.5329054Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5329374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5329457Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5329706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5329787Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5330042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5330102Z x = stage(x) 2025-12-04T08:59:47.5330349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5330424Z out = self.conv2(out) 2025-12-04T08:59:47.5330650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5330715Z x = F.conv2d( 2025-12-04T08:59:47.5330722Z 2025-12-04T08:59:47.5330837Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5331154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5331246Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5331488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5331571Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5331828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5331888Z x = stage(x) 2025-12-04T08:59:47.5332133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5332205Z out = F.relu_(out) 2025-12-04T08:59:47.5332210Z 2025-12-04T08:59:47.5332356Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5332683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5332767Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5333032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5333122Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5333375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5333443Z x = stage(x) 2025-12-04T08:59:47.5333697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5333766Z out = self.conv3(out) 2025-12-04T08:59:47.5334025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5334088Z x = F.conv2d( 2025-12-04T08:59:47.5334092Z 2025-12-04T08:59:47.5334197Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5334526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5334615Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5334864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5334946Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5335193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5335261Z x = stage(x) 2025-12-04T08:59:47.5335516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5335590Z out = F.relu_(out) 2025-12-04T08:59:47.5335593Z 2025-12-04T08:59:47.5335697Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5336013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5336106Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5336348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5336427Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5336683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5336743Z x = stage(x) 2025-12-04T08:59:47.5337002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5337072Z out = self.conv1(x) 2025-12-04T08:59:47.5337299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5337371Z x = F.conv2d( 2025-12-04T08:59:47.5337375Z 2025-12-04T08:59:47.5337480Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5337805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5337889Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5338131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5338220Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5338469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5338576Z x = stage(x) 2025-12-04T08:59:47.5338832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5338896Z out = F.relu_(out) 2025-12-04T08:59:47.5338900Z 2025-12-04T08:59:47.5339011Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5339345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5339429Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5339682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5339765Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5340022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5340114Z x = stage(x) 2025-12-04T08:59:47.5340371Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5340446Z out = self.conv2(out) 2025-12-04T08:59:47.5340680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5340743Z x = F.conv2d( 2025-12-04T08:59:47.5340747Z 2025-12-04T08:59:47.5340861Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5341182Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5341272Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5341519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5341600Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5341869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5341930Z x = stage(x) 2025-12-04T08:59:47.5342190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5342257Z out = F.relu_(out) 2025-12-04T08:59:47.5342260Z 2025-12-04T08:59:47.5342366Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5342697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5342782Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5343026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5343115Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5343372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5343442Z x = stage(x) 2025-12-04T08:59:47.5343693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5343761Z out = self.conv3(out) 2025-12-04T08:59:47.5344001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5344063Z x = F.conv2d( 2025-12-04T08:59:47.5344066Z 2025-12-04T08:59:47.5344181Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5344501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5344585Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5344876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5344961Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5345210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5345279Z x = stage(x) 2025-12-04T08:59:47.5345529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5345622Z out = F.relu_(out) 2025-12-04T08:59:47.5345625Z 2025-12-04T08:59:47.5345732Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5346048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5346139Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5346383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5346500Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5346749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5346810Z x = stage(x) 2025-12-04T08:59:47.5347067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5347137Z out = self.conv1(x) 2025-12-04T08:59:47.5347367Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5347438Z x = F.conv2d( 2025-12-04T08:59:47.5347442Z 2025-12-04T08:59:47.5347549Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5347878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5347964Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5348212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5348301Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5348549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5348613Z x = stage(x) 2025-12-04T08:59:47.5348869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5348933Z out = F.relu_(out) 2025-12-04T08:59:47.5348937Z 2025-12-04T08:59:47.5349049Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5349365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5349449Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5349706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5349787Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5350043Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5350108Z x = stage(x) 2025-12-04T08:59:47.5350356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5350439Z out = self.conv2(out) 2025-12-04T08:59:47.5350666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5350729Z x = F.conv2d( 2025-12-04T08:59:47.5350732Z 2025-12-04T08:59:47.5350845Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5351214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5351308Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5351553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5351636Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5351913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5351975Z x = stage(x) 2025-12-04T08:59:47.5352230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5352297Z out = F.relu_(out) 2025-12-04T08:59:47.5352300Z 2025-12-04T08:59:47.5352405Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5352736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5352838Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5353080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5353167Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5353418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5353486Z x = stage(x) 2025-12-04T08:59:47.5353736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5353803Z out = self.conv3(out) 2025-12-04T08:59:47.5354038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5354102Z x = F.conv2d( 2025-12-04T08:59:47.5354105Z 2025-12-04T08:59:47.5354219Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5354537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5354620Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5354867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5354949Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5355195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5355262Z x = stage(x) 2025-12-04T08:59:47.5355511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5355583Z out = F.relu_(out) 2025-12-04T08:59:47.5355587Z 2025-12-04T08:59:47.5355692Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5356014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5356105Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5356351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5356439Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5356685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5356746Z x = stage(x) 2025-12-04T08:59:47.5357002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5357070Z out = self.conv1(x) 2025-12-04T08:59:47.5357303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5357416Z x = F.conv2d( 2025-12-04T08:59:47.5357420Z 2025-12-04T08:59:47.5357530Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5357863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5357971Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5358223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5358315Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5358579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5358642Z x = stage(x) 2025-12-04T08:59:47.5358907Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5358998Z out = F.relu_(out) 2025-12-04T08:59:47.5359004Z 2025-12-04T08:59:47.5359121Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5359451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5359536Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5359798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5359882Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5360147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5360211Z x = stage(x) 2025-12-04T08:59:47.5360467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5360546Z out = self.conv2(out) 2025-12-04T08:59:47.5360787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5360854Z x = F.conv2d( 2025-12-04T08:59:47.5360864Z 2025-12-04T08:59:47.5360973Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5361387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5361496Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5361749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5361834Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5362104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5362169Z x = stage(x) 2025-12-04T08:59:47.5362440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5362510Z out = F.relu_(out) 2025-12-04T08:59:47.5362514Z 2025-12-04T08:59:47.5362623Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5362959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5363049Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5363303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5363395Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5363654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5363727Z x = stage(x) 2025-12-04T08:59:47.5364033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5364106Z out = self.conv3(out) 2025-12-04T08:59:47.5364356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5364422Z x = F.conv2d( 2025-12-04T08:59:47.5364425Z 2025-12-04T08:59:47.5364570Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5364902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5364988Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5365247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5365328Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5365588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5365684Z x = stage(x) 2025-12-04T08:59:47.5365941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T08:59:47.5366027Z shortcut = self.shortcut(x) 2025-12-04T08:59:47.5366265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5366332Z x = F.conv2d( 2025-12-04T08:59:47.5366336Z 2025-12-04T08:59:47.5366451Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5366780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5366873Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5367124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5367213Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5367477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5367540Z x = stage(x) 2025-12-04T08:59:47.5367796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5367874Z out = self.conv1(x) 2025-12-04T08:59:47.5368113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5368186Z x = F.conv2d( 2025-12-04T08:59:47.5368189Z 2025-12-04T08:59:47.5368296Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5368628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5368723Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5368978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5369070Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5369327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5369394Z x = stage(x) 2025-12-04T08:59:47.5369661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5369728Z out = F.relu_(out) 2025-12-04T08:59:47.5369731Z 2025-12-04T08:59:47.5369839Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5370176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5370262Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5370560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5370647Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5370905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5371000Z x = stage(x) 2025-12-04T08:59:47.5371258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5371328Z out = self.conv2(out) 2025-12-04T08:59:47.5371574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5371638Z x = F.conv2d( 2025-12-04T08:59:47.5371642Z 2025-12-04T08:59:47.5371757Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5372090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5372201Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5372461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5372545Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5372812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5372874Z x = stage(x) 2025-12-04T08:59:47.5373132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5373208Z out = F.relu_(out) 2025-12-04T08:59:47.5373211Z 2025-12-04T08:59:47.5373319Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5373650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5373748Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5374000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5374091Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5374350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5374414Z x = stage(x) 2025-12-04T08:59:47.5374683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5374753Z out = self.conv3(out) 2025-12-04T08:59:47.5375000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5375064Z x = F.conv2d( 2025-12-04T08:59:47.5375068Z 2025-12-04T08:59:47.5375174Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5375515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5375601Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5375853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5375947Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5376207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5376276Z x = stage(x) 2025-12-04T08:59:47.5376535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5376602Z out = F.relu_(out) 2025-12-04T08:59:47.5376605Z 2025-12-04T08:59:47.5376721Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5377087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5377182Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5377434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5377538Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5377813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5377876Z x = stage(x) 2025-12-04T08:59:47.5378126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T08:59:47.5378201Z out = self.conv1(x) 2025-12-04T08:59:47.5378429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5378499Z x = F.conv2d( 2025-12-04T08:59:47.5378525Z 2025-12-04T08:59:47.5378631Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5378954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5379048Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5379294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5379386Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5379645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5379705Z x = stage(x) 2025-12-04T08:59:47.5379971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T08:59:47.5380037Z out = F.relu_(out) 2025-12-04T08:59:47.5380043Z 2025-12-04T08:59:47.5380153Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5380491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5380575Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5380835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5380918Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5381177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5381244Z x = stage(x) 2025-12-04T08:59:47.5381504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T08:59:47.5381574Z out = self.conv2(out) 2025-12-04T08:59:47.5381821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5381886Z x = F.conv2d( 2025-12-04T08:59:47.5381889Z 2025-12-04T08:59:47.5382005Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5382338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5382427Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5382685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5382766Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5383031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5383092Z x = stage(x) 2025-12-04T08:59:47.5383388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T08:59:47.5383465Z out = F.relu_(out) 2025-12-04T08:59:47.5383469Z 2025-12-04T08:59:47.5383575Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5383902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5384006Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5384246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5384335Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5384584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5384645Z x = stage(x) 2025-12-04T08:59:47.5384901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T08:59:47.5384994Z out = self.conv3(out) 2025-12-04T08:59:47.5385232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5385295Z x = F.conv2d( 2025-12-04T08:59:47.5385299Z 2025-12-04T08:59:47.5385404Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5385735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5385820Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5386067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T08:59:47.5386157Z bottom_up_features = self.bottom_up(x) 2025-12-04T08:59:47.5386406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T08:59:47.5386476Z x = stage(x) 2025-12-04T08:59:47.5386726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T08:59:47.5386791Z out = F.relu_(out) 2025-12-04T08:59:47.5386794Z 2025-12-04T08:59:47.5386906Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5387224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5387312Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5387555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 141, in forward 2025-12-04T08:59:47.5387727Z prev_features = self.lateral_convs[0](bottom_up_features[self.in_features[-1]]) 2025-12-04T08:59:47.5387964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5388028Z x = F.conv2d( 2025-12-04T08:59:47.5388035Z 2025-12-04T08:59:47.5388125Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.5388235Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5388554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5388646Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5388890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 142, in forward 2025-12-04T08:59:47.5389005Z results.append(self.output_convs[0](prev_features)) 2025-12-04T08:59:47.5389243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5389303Z x = F.conv2d( 2025-12-04T08:59:47.5389307Z 2025-12-04T08:59:47.5389417Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5389838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5389923Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5390173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward 2025-12-04T08:59:47.5390285Z lateral_features = lateral_conv(features) 2025-12-04T08:59:47.5390518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5390580Z x = F.conv2d( 2025-12-04T08:59:47.5390584Z 2025-12-04T08:59:47.5390686Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5391010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5391092Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5391361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward 2025-12-04T08:59:47.5391460Z lateral_features = lateral_conv(features) 2025-12-04T08:59:47.5391689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5391760Z x = F.conv2d( 2025-12-04T08:59:47.5391764Z 2025-12-04T08:59:47.5391869Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5392192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5392285Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5392529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward 2025-12-04T08:59:47.5392624Z lateral_features = lateral_conv(features) 2025-12-04T08:59:47.5392859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5392922Z x = F.conv2d( 2025-12-04T08:59:47.5392925Z 2025-12-04T08:59:47.5393036Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5393355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5393441Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5393692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward 2025-12-04T08:59:47.5393807Z prev_features = lateral_features + top_down_features 2025-12-04T08:59:47.5393811Z 2025-12-04T08:59:47.5393920Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5394243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5394329Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5394582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward 2025-12-04T08:59:47.5394693Z prev_features = lateral_features + top_down_features 2025-12-04T08:59:47.5394699Z 2025-12-04T08:59:47.5394810Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5395128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5395211Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5395472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward 2025-12-04T08:59:47.5395571Z prev_features = lateral_features + top_down_features 2025-12-04T08:59:47.5395575Z 2025-12-04T08:59:47.5395766Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.5395846Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.5395923Z cudagraph partition due to non gpu ops 2025-12-04T08:59:47.5396030Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5396329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5396425Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5396663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 165, in forward 2025-12-04T08:59:47.5396778Z results.extend(self.top_block(top_block_in_feature)) 2025-12-04T08:59:47.5397029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 200, in forward 2025-12-04T08:59:47.5397159Z return [F.max_pool2d(x, kernel_size=1, stride=2, padding=0)] 2025-12-04T08:59:47.5397181Z 2025-12-04T08:59:47.5397292Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5397622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5397707Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5397962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward 2025-12-04T08:59:47.5398063Z results.insert(0, output_conv(prev_features)) 2025-12-04T08:59:47.5398296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5398369Z x = F.conv2d( 2025-12-04T08:59:47.5398372Z 2025-12-04T08:59:47.5398476Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5398793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5398892Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5399138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward 2025-12-04T08:59:47.5399243Z results.insert(0, output_conv(prev_features)) 2025-12-04T08:59:47.5399479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5399540Z x = F.conv2d( 2025-12-04T08:59:47.5399543Z 2025-12-04T08:59:47.5399657Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T08:59:47.5399974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T08:59:47.5400065Z features = self.backbone(images.tensor) 2025-12-04T08:59:47.5400308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward 2025-12-04T08:59:47.5400411Z results.insert(0, output_conv(prev_features)) 2025-12-04T08:59:47.5400649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T08:59:47.5400710Z x = F.conv2d( 2025-12-04T08:59:47.5400713Z 2025-12-04T09:00:01.5771031Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5771400Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5771637Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5771873Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5772103Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5772335Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5772565Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5772798Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5773028Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5773256Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5773994Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5774234Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5774461Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5774693Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5774923Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5775148Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5775550Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5775801Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5776031Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5776254Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5776480Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5776704Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5776928Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5777148Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5777383Z cudagraph partition due to non gpu ops 2025-12-04T09:00:01.5777714Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5778236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5778772Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5779297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T09:00:01.5779738Z t = self.conv(x) 2025-12-04T09:00:01.5780092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:00:01.5780474Z x = F.conv2d( 2025-12-04T09:00:01.5780584Z 2025-12-04T09:00:01.5780712Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5781183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5781704Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5782218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T09:00:01.5782647Z t = self.conv(x) 2025-12-04T09:00:01.5782993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T09:00:01.5783382Z x = self.activation(x) 2025-12-04T09:00:01.5783506Z 2025-12-04T09:00:01.5783630Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5784106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5784605Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5785108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward 2025-12-04T09:00:01.5785598Z pred_objectness_logits.append(self.objectness_logits(t)) 2025-12-04T09:00:01.5785785Z 2025-12-04T09:00:01.5785905Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5786364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5786866Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5787359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T09:00:01.5787780Z t = self.conv(x) 2025-12-04T09:00:01.5788132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:00:01.5788507Z x = F.conv2d( 2025-12-04T09:00:01.5788608Z 2025-12-04T09:00:01.5788728Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5789245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5789755Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5790251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T09:00:01.5790701Z t = self.conv(x) 2025-12-04T09:00:01.5791037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T09:00:01.5791413Z x = self.activation(x) 2025-12-04T09:00:01.5791533Z 2025-12-04T09:00:01.5791650Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5792116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5792613Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5793109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward 2025-12-04T09:00:01.5793604Z pred_objectness_logits.append(self.objectness_logits(t)) 2025-12-04T09:00:01.5793788Z 2025-12-04T09:00:01.5793896Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5794360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5794866Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5795351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T09:00:01.5795776Z t = self.conv(x) 2025-12-04T09:00:01.5796122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:00:01.5796505Z x = F.conv2d( 2025-12-04T09:00:01.5796603Z 2025-12-04T09:00:01.5796718Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5797171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5797678Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5798167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T09:00:01.5798574Z t = self.conv(x) 2025-12-04T09:00:01.5798918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T09:00:01.5799299Z x = self.activation(x) 2025-12-04T09:00:01.5799419Z 2025-12-04T09:00:01.5799580Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5800035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5800536Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5801037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward 2025-12-04T09:00:01.5801976Z pred_objectness_logits.append(self.objectness_logits(t)) 2025-12-04T09:00:01.5802167Z 2025-12-04T09:00:01.5802286Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5802774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5803277Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5804033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T09:00:01.5804448Z t = self.conv(x) 2025-12-04T09:00:01.5804878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:00:01.5805257Z x = F.conv2d( 2025-12-04T09:00:01.5805355Z 2025-12-04T09:00:01.5805471Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5805925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5806438Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5806923Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T09:00:01.5807344Z t = self.conv(x) 2025-12-04T09:00:01.5807680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T09:00:01.5808061Z x = self.activation(x) 2025-12-04T09:00:01.5808185Z 2025-12-04T09:00:01.5808295Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5808764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5809281Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5809766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward 2025-12-04T09:00:01.5810233Z pred_objectness_logits.append(self.objectness_logits(t)) 2025-12-04T09:00:01.5810414Z 2025-12-04T09:00:01.5810526Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5810969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5811454Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5811932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T09:00:01.5812341Z t = self.conv(x) 2025-12-04T09:00:01.5812679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:00:01.5813046Z x = F.conv2d( 2025-12-04T09:00:01.5813141Z 2025-12-04T09:00:01.5813256Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5813697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5814180Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5814660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 174, in forward 2025-12-04T09:00:01.5815066Z t = self.conv(x) 2025-12-04T09:00:01.5815400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 148, in forward 2025-12-04T09:00:01.5815778Z x = self.activation(x) 2025-12-04T09:00:01.5815898Z 2025-12-04T09:00:01.5816016Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5816460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5816944Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5817431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 175, in forward 2025-12-04T09:00:01.5817895Z pred_objectness_logits.append(self.objectness_logits(t)) 2025-12-04T09:00:01.5818075Z 2025-12-04T09:00:01.5818183Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5818630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5819115Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5819680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward 2025-12-04T09:00:01.5820123Z pred_anchor_deltas.append(self.anchor_deltas(t)) 2025-12-04T09:00:01.5820294Z 2025-12-04T09:00:01.5820405Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5820882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5821401Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5821880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward 2025-12-04T09:00:01.5822322Z pred_anchor_deltas.append(self.anchor_deltas(t)) 2025-12-04T09:00:01.5822485Z 2025-12-04T09:00:01.5822604Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5823067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5823576Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5824085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward 2025-12-04T09:00:01.5824545Z pred_anchor_deltas.append(self.anchor_deltas(t)) 2025-12-04T09:00:01.5824703Z 2025-12-04T09:00:01.5824813Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5825286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5825775Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5826276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward 2025-12-04T09:00:01.5826726Z pred_anchor_deltas.append(self.anchor_deltas(t)) 2025-12-04T09:00:01.5826900Z 2025-12-04T09:00:01.5827010Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5827465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 454, in forward 2025-12-04T09:00:01.5827966Z pred_objectness_logits, pred_anchor_deltas = self.rpn_head(features) 2025-12-04T09:00:01.5828469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 176, in forward 2025-12-04T09:00:01.5828920Z pred_anchor_deltas.append(self.anchor_deltas(t)) 2025-12-04T09:00:01.5829080Z 2025-12-04T09:00:01.5829195Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5829648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T09:00:01.5830078Z anchors = self.anchor_generator(features) 2025-12-04T09:00:01.5830508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:00:01.5831009Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:00:01.5831569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T09:00:01.5832061Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T09:00:01.5832263Z 2025-12-04T09:00:01.5832372Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5832828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T09:00:01.5833261Z anchors = self.anchor_generator(features) 2025-12-04T09:00:01.5833686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:00:01.5834230Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:00:01.5834740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T09:00:01.5835208Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T09:00:01.5835404Z 2025-12-04T09:00:01.5835535Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5835984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T09:00:01.5836418Z anchors = self.anchor_generator(features) 2025-12-04T09:00:01.5836829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:00:01.5837313Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:00:01.5837814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T09:00:01.5838304Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T09:00:01.5838496Z 2025-12-04T09:00:01.5838603Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5839059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T09:00:01.5839495Z anchors = self.anchor_generator(features) 2025-12-04T09:00:01.5839907Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:00:01.5840392Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:00:01.5840895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T09:00:01.5841538Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T09:00:01.5841738Z 2025-12-04T09:00:01.5841850Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5842312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T09:00:01.5842750Z anchors = self.anchor_generator(features) 2025-12-04T09:00:01.5843174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:00:01.5843655Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:00:01.5844157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T09:00:01.5844631Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T09:00:01.5844818Z 2025-12-04T09:00:01.5844935Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5845421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward 2025-12-04T09:00:01.5845855Z pred_objectness_logits = [ 2025-12-04T09:00:01.5846282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in 2025-12-04T09:00:01.5846716Z score.permute(0, 2, 3, 1).flatten(1) 2025-12-04T09:00:01.5846866Z 2025-12-04T09:00:01.5846974Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5847426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward 2025-12-04T09:00:01.5847852Z pred_objectness_logits = [ 2025-12-04T09:00:01.5848266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in 2025-12-04T09:00:01.5848702Z score.permute(0, 2, 3, 1).flatten(1) 2025-12-04T09:00:01.5848842Z 2025-12-04T09:00:01.5849021Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5849492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward 2025-12-04T09:00:01.5849919Z pred_objectness_logits = [ 2025-12-04T09:00:01.5850341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in 2025-12-04T09:00:01.5851441Z score.permute(0, 2, 3, 1).flatten(1) 2025-12-04T09:00:01.5851580Z 2025-12-04T09:00:01.5851690Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5852158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward 2025-12-04T09:00:01.5852584Z pred_objectness_logits = [ 2025-12-04T09:00:01.5852998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in 2025-12-04T09:00:01.5853465Z score.permute(0, 2, 3, 1).flatten(1) 2025-12-04T09:00:01.5853615Z 2025-12-04T09:00:01.5853723Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5854199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 456, in forward 2025-12-04T09:00:01.5854639Z pred_objectness_logits = [ 2025-12-04T09:00:01.5855054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 458, in 2025-12-04T09:00:01.5855498Z score.permute(0, 2, 3, 1).flatten(1) 2025-12-04T09:00:01.5855637Z 2025-12-04T09:00:01.5855753Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5856219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward 2025-12-04T09:00:01.5856660Z pred_anchor_deltas = [ 2025-12-04T09:00:01.5857095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in 2025-12-04T09:00:01.5857544Z .flatten(1, -2) 2025-12-04T09:00:01.5857649Z 2025-12-04T09:00:01.5857759Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5858231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward 2025-12-04T09:00:01.5858675Z pred_anchor_deltas = [ 2025-12-04T09:00:01.5859109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in 2025-12-04T09:00:01.5859535Z .flatten(1, -2) 2025-12-04T09:00:01.5859650Z 2025-12-04T09:00:01.5859758Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5860232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward 2025-12-04T09:00:01.5860665Z pred_anchor_deltas = [ 2025-12-04T09:00:01.5861087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in 2025-12-04T09:00:01.5861518Z .flatten(1, -2) 2025-12-04T09:00:01.5861621Z 2025-12-04T09:00:01.5861736Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5862208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward 2025-12-04T09:00:01.5862640Z pred_anchor_deltas = [ 2025-12-04T09:00:01.5863056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in 2025-12-04T09:00:01.5863484Z .flatten(1, -2) 2025-12-04T09:00:01.5863585Z 2025-12-04T09:00:01.5863693Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5864169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 461, in forward 2025-12-04T09:00:01.5864653Z pred_anchor_deltas = [ 2025-12-04T09:00:01.5865051Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 465, in 2025-12-04T09:00:01.5865472Z .flatten(1, -2) 2025-12-04T09:00:01.5865578Z 2025-12-04T09:00:01.5865688Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5866176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T09:00:01.5866624Z anchors = self.anchor_generator(features) 2025-12-04T09:00:01.5867057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:00:01.5867557Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:00:01.5868071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T09:00:01.5868629Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T09:00:01.5868869Z 2025-12-04T09:00:01.5868978Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5869433Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T09:00:01.5869876Z anchors = self.anchor_generator(features) 2025-12-04T09:00:01.5870298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:00:01.5870787Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:00:01.5871291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T09:00:01.5871794Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T09:00:01.5872027Z 2025-12-04T09:00:01.5872139Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5872592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T09:00:01.5873027Z anchors = self.anchor_generator(features) 2025-12-04T09:00:01.5873438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:00:01.5873923Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:00:01.5874419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T09:00:01.5874920Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T09:00:01.5875138Z 2025-12-04T09:00:01.5875246Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5875699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T09:00:01.5876136Z anchors = self.anchor_generator(features) 2025-12-04T09:00:01.5876550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:00:01.5877030Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:00:01.5877529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T09:00:01.5878032Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T09:00:01.5878251Z 2025-12-04T09:00:01.5878368Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:01.5878817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 452, in forward 2025-12-04T09:00:01.5879302Z anchors = self.anchor_generator(features) 2025-12-04T09:00:01.5879723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:00:01.5880211Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:00:01.5880735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T09:00:01.5881359Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T09:00:01.5881624Z 2025-12-04T09:00:06.0510941Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:06.0511580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals 2025-12-04T09:00:06.0512132Z pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas) 2025-12-04T09:00:06.0512686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals 2025-12-04T09:00:06.0513617Z proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i) 2025-12-04T09:00:06.0514297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T09:00:06.0514773Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:00:06.0514947Z 2025-12-04T09:00:06.0515087Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:06.0515573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals 2025-12-04T09:00:06.0516094Z pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas) 2025-12-04T09:00:06.0516621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals 2025-12-04T09:00:06.0517199Z proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i) 2025-12-04T09:00:06.0517739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T09:00:06.0518199Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:00:06.0518359Z 2025-12-04T09:00:06.0518474Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:06.0518981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals 2025-12-04T09:00:06.0519519Z pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas) 2025-12-04T09:00:06.0520041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals 2025-12-04T09:00:06.0520589Z proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i) 2025-12-04T09:00:06.0521141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T09:00:06.0521675Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:00:06.0521837Z 2025-12-04T09:00:06.0521959Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:06.0522450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals 2025-12-04T09:00:06.0522972Z pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas) 2025-12-04T09:00:06.0523494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals 2025-12-04T09:00:06.0524049Z proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i) 2025-12-04T09:00:06.0524718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T09:00:06.0525178Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:00:06.0525333Z 2025-12-04T09:00:06.0525452Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:06.0525934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 502, in predict_proposals 2025-12-04T09:00:06.0526509Z pred_proposals = self._decode_proposals(anchors, pred_anchor_deltas) 2025-12-04T09:00:06.0527030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 530, in _decode_proposals 2025-12-04T09:00:06.0527590Z proposals_i = self.box2box_transform.apply_deltas(pred_anchor_deltas_i, anchors_i) 2025-12-04T09:00:06.0528118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T09:00:06.0528561Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:00:06.0528760Z 2025-12-04T09:00:07.8198095Z cudagraph partition due to non gpu ops 2025-12-04T09:00:07.8198444Z cudagraph partition due to non gpu ops 2025-12-04T09:00:07.8198683Z cudagraph partition due to non gpu ops 2025-12-04T09:00:07.8198913Z cudagraph partition due to non gpu ops 2025-12-04T09:00:07.8199183Z cudagraph partition due to non gpu ops 2025-12-04T09:00:07.8199464Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:07.8199925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:00:07.8200330Z return torch.cat(tensors, dim) 2025-12-04T09:00:07.8200484Z 2025-12-04T09:00:08.8705757Z cudagraph partition due to non gpu ops 2025-12-04T09:00:08.8706072Z cudagraph partition due to non gpu ops 2025-12-04T09:00:08.8706300Z cudagraph partition due to non gpu ops 2025-12-04T09:00:08.8706530Z cudagraph partition due to non gpu ops 2025-12-04T09:00:08.8706752Z cudagraph partition due to non gpu ops 2025-12-04T09:00:08.8707080Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:08.8707586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:00:08.8707972Z return torch.cat(tensors, dim) 2025-12-04T09:00:08.8708120Z 2025-12-04T09:00:10.1453141Z cudagraph partition due to non gpu ops 2025-12-04T09:00:10.1453465Z cudagraph partition due to non gpu ops 2025-12-04T09:00:10.1453727Z cudagraph partition due to non gpu ops 2025-12-04T09:00:10.1453960Z cudagraph partition due to non gpu ops 2025-12-04T09:00:10.1454179Z cudagraph partition due to non gpu ops 2025-12-04T09:00:10.1454446Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:10.1454911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:00:10.1455298Z return torch.cat(tensors, dim) 2025-12-04T09:00:10.1455453Z 2025-12-04T09:00:11.2906798Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:11.2907357Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:00:11.2907859Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:00:11.2908100Z 2025-12-04T09:00:11.2908204Z cudagraph partition due to non gpu ops 2025-12-04T09:00:11.2908445Z cudagraph partition due to non gpu ops 2025-12-04T09:00:11.2908675Z cudagraph partition due to non gpu ops 2025-12-04T09:00:11.2908905Z cudagraph partition due to non gpu ops 2025-12-04T09:00:11.2909166Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:11.2909585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:00:11.2909992Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:00:11.2910151Z 2025-12-04T09:00:12.2087316Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:12.2088289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla 2025-12-04T09:00:12.2088777Z keep_mask = torch.zeros_like(scores, dtype=torch.bool) 2025-12-04T09:00:12.2088967Z 2025-12-04T09:00:13.6332614Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:13.6333652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__ 2025-12-04T09:00:13.6334084Z b = self.tensor[item] 2025-12-04T09:00:13.6334214Z 2025-12-04T09:00:14.4469012Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:14.4469552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:00:14.4470044Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:00:14.4470293Z 2025-12-04T09:00:14.4470386Z cudagraph partition due to non gpu ops 2025-12-04T09:00:14.4471025Z cudagraph partition due to non gpu ops 2025-12-04T09:00:14.4471253Z cudagraph partition due to non gpu ops 2025-12-04T09:00:14.4471489Z cudagraph partition due to non gpu ops 2025-12-04T09:00:14.4471762Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:14.4472177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:00:14.4472629Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:00:14.4472792Z 2025-12-04T09:00:15.4398417Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:15.4398974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla 2025-12-04T09:00:15.4399468Z keep_mask = torch.zeros_like(scores, dtype=torch.bool) 2025-12-04T09:00:15.4399671Z 2025-12-04T09:00:16.2330660Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:16.2331299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:00:16.2331813Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:00:16.2332065Z 2025-12-04T09:00:16.2332162Z cudagraph partition due to non gpu ops 2025-12-04T09:00:16.2332411Z cudagraph partition due to non gpu ops 2025-12-04T09:00:16.2332646Z cudagraph partition due to non gpu ops 2025-12-04T09:00:16.2332875Z cudagraph partition due to non gpu ops 2025-12-04T09:00:16.2333147Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:16.2333571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:00:16.2333990Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:00:16.2334164Z 2025-12-04T09:00:17.8187301Z cudagraph partition due to non gpu ops 2025-12-04T09:00:17.8187850Z cudagraph partition due to non gpu ops 2025-12-04T09:00:17.8188292Z cudagraph partition due to non gpu ops 2025-12-04T09:00:17.8188674Z cudagraph partition due to non gpu ops 2025-12-04T09:00:17.8189110Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:17.8190053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format 2025-12-04T09:00:17.8190979Z sizes = shapes_to_tensor([x.__len__() for x in box_lists]) 2025-12-04T09:00:17.8191809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:00:17.8192576Z return torch.as_tensor(x, device=device) 2025-12-04T09:00:17.8192855Z 2025-12-04T09:00:17.8193054Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:17.8193940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format 2025-12-04T09:00:17.8194825Z boxes = torch.cat([x.tensor for x in box_lists], dim=0) 2025-12-04T09:00:17.8195685Z 2025-12-04T09:00:18.5670222Z cudagraph partition due to non gpu ops 2025-12-04T09:00:18.5670546Z cudagraph partition due to non gpu ops 2025-12-04T09:00:18.5670819Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:18.5671405Z 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 2025-12-04T09:00:18.5672351Z return cat([indices[:, None], boxes], dim=1) 2025-12-04T09:00:18.5672758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:00:18.5673143Z return torch.cat(tensors, dim) 2025-12-04T09:00:18.5673291Z 2025-12-04T09:00:20.9947813Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:20.9948437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels 2025-12-04T09:00:20.9949389Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T09:00:20.9949866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in 2025-12-04T09:00:20.9950338Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T09:00:20.9950816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 180, in area 2025-12-04T09:00:20.9951265Z area = (box[:, 2] - box[:, 0]) * (box[:, 3] - box[:, 1]) 2025-12-04T09:00:20.9951438Z 2025-12-04T09:00:20.9951569Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:20.9952031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels 2025-12-04T09:00:20.9952517Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T09:00:20.9953002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in 2025-12-04T09:00:20.9953510Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T09:00:20.9953935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 180, in area 2025-12-04T09:00:20.9954342Z area = (box[:, 2] - box[:, 0]) * (box[:, 3] - box[:, 1]) 2025-12-04T09:00:20.9954509Z 2025-12-04T09:00:20.9954633Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:20.9955103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels 2025-12-04T09:00:20.9955579Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T09:00:20.9956028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in 2025-12-04T09:00:20.9956472Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T09:00:20.9956899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 180, in area 2025-12-04T09:00:20.9957307Z area = (box[:, 2] - box[:, 0]) * (box[:, 3] - box[:, 1]) 2025-12-04T09:00:20.9957477Z 2025-12-04T09:00:20.9957590Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:20.9958056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels 2025-12-04T09:00:20.9958529Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T09:00:20.9958972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in 2025-12-04T09:00:20.9959417Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T09:00:20.9959842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 180, in area 2025-12-04T09:00:20.9960361Z area = (box[:, 2] - box[:, 0]) * (box[:, 3] - box[:, 1]) 2025-12-04T09:00:20.9960532Z 2025-12-04T09:00:20.9960643Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:20.9961099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 51, in assign_boxes_to_levels 2025-12-04T09:00:20.9961882Z box_sizes = torch.sqrt(cat([boxes.area() for boxes in box_lists])) 2025-12-04T09:00:20.9962301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:00:20.9962683Z return torch.cat(tensors, dim) 2025-12-04T09:00:20.9962824Z 2025-12-04T09:00:20.9962943Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:20.9963401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 59, in assign_boxes_to_levels 2025-12-04T09:00:20.9963883Z return level_assignments.to(torch.int64) - min_level 2025-12-04T09:00:20.9964120Z 2025-12-04T09:00:21.9798344Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:21.9798898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 111, in _create_zeros 2025-12-04T09:00:21.9799420Z return torch.zeros(sizes, dtype=like_tensor.dtype, device=like_tensor.device) 2025-12-04T09:00:21.9799661Z 2025-12-04T09:00:22.5845134Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:22.5845695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:00:22.5846148Z return roi_align( 2025-12-04T09:00:22.5846530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:00:22.5847007Z return torch.ops.torchvision.roi_align( 2025-12-04T09:00:22.5847179Z 2025-12-04T09:00:22.5847298Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:22.5847770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:00:22.5848158Z return roi_align( 2025-12-04T09:00:22.5848502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:00:22.5848909Z return torch.ops.torchvision.roi_align( 2025-12-04T09:00:22.5849083Z 2025-12-04T09:00:23.3361905Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:23.3362461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:00:23.3362855Z return roi_align( 2025-12-04T09:00:23.3363217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:00:23.3363620Z return torch.ops.torchvision.roi_align( 2025-12-04T09:00:23.3363778Z 2025-12-04T09:00:23.3363902Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:23.3364358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:00:23.3364738Z return roi_align( 2025-12-04T09:00:23.3365127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:00:23.3365533Z return torch.ops.torchvision.roi_align( 2025-12-04T09:00:23.3365695Z 2025-12-04T09:00:23.8299947Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:23.8300479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:00:23.8300862Z return roi_align( 2025-12-04T09:00:23.8301221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:00:23.8301626Z return torch.ops.torchvision.roi_align( 2025-12-04T09:00:23.8301789Z 2025-12-04T09:00:23.8301904Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:23.8302878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:00:23.8303250Z return roi_align( 2025-12-04T09:00:23.8303845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:00:23.8304304Z return torch.ops.torchvision.roi_align( 2025-12-04T09:00:23.8304456Z 2025-12-04T09:00:24.2341428Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:24.2341968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:00:24.2342463Z return roi_align( 2025-12-04T09:00:24.2342825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:00:24.2343233Z return torch.ops.torchvision.roi_align( 2025-12-04T09:00:24.2343390Z 2025-12-04T09:00:24.2343512Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:24.2344435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:00:24.2344806Z return roi_align( 2025-12-04T09:00:24.2345146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:00:24.2345544Z return torch.ops.torchvision.roi_align( 2025-12-04T09:00:24.2345694Z 2025-12-04T09:00:25.7782639Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:25.7783316Z 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 2025-12-04T09:00:25.7783823Z box_features = self.box_head(box_features) 2025-12-04T09:00:25.7784255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T09:00:25.7784649Z x = layer(x) 2025-12-04T09:00:25.7784795Z 2025-12-04T09:00:25.7784922Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:25.7785436Z 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 2025-12-04T09:00:25.7785933Z box_features = self.box_head(box_features) 2025-12-04T09:00:25.7786350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T09:00:25.7786738Z x = layer(x) 2025-12-04T09:00:25.7786833Z 2025-12-04T09:00:25.7786950Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:25.7787457Z 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 2025-12-04T09:00:25.7787932Z box_features = self.box_head(box_features) 2025-12-04T09:00:25.7788360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T09:00:25.7788747Z x = layer(x) 2025-12-04T09:00:25.7788840Z 2025-12-04T09:00:25.7788949Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:25.7789447Z 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 2025-12-04T09:00:25.7789929Z box_features = self.box_head(box_features) 2025-12-04T09:00:25.7790340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T09:00:25.7790713Z x = layer(x) 2025-12-04T09:00:25.7790812Z 2025-12-04T09:00:25.7790919Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:25.7791415Z 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 2025-12-04T09:00:25.7792287Z predictions = self.box_predictor(box_features) 2025-12-04T09:00:25.7792717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward 2025-12-04T09:00:25.7793128Z scores = self.cls_score(x) 2025-12-04T09:00:25.7793254Z 2025-12-04T09:00:25.7793429Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:25.7793936Z 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 2025-12-04T09:00:25.7794431Z predictions = self.box_predictor(box_features) 2025-12-04T09:00:25.7794856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward 2025-12-04T09:00:25.7795266Z proposal_deltas = self.bbox_pred(x) 2025-12-04T09:00:25.7795409Z 2025-12-04T09:00:28.1338532Z cudagraph partition due to non gpu ops 2025-12-04T09:00:28.1339335Z cudagraph partition due to non gpu ops 2025-12-04T09:00:28.1339590Z cudagraph partition due to non gpu ops 2025-12-04T09:00:28.1339818Z cudagraph partition due to non gpu ops 2025-12-04T09:00:28.1340088Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:28.1340589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T09:00:28.1341067Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T09:00:28.1341533Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes 2025-12-04T09:00:28.1342065Z proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0) 2025-12-04T09:00:28.1342525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:00:28.1343018Z return torch.cat(tensors, dim) 2025-12-04T09:00:28.1343166Z 2025-12-04T09:00:28.1343297Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:28.1343743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T09:00:28.1344220Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T09:00:28.1344681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes 2025-12-04T09:00:28.1345159Z predict_boxes = self.box2box_transform.apply_deltas( 2025-12-04T09:00:28.1345608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T09:00:28.1346064Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:00:28.1346233Z 2025-12-04T09:00:30.2689141Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:30.2690044Z 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 2025-12-04T09:00:30.2690677Z valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1) 2025-12-04T09:00:30.2690935Z 2025-12-04T09:00:30.2691057Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:30.2691602Z 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 2025-12-04T09:00:30.2692238Z valid_mask = torch.isfinite(boxes).all(dim=1) & torch.isfinite(scores).all(dim=1) 2025-12-04T09:00:30.2692476Z 2025-12-04T09:00:30.2692595Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:30.2693110Z 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 2025-12-04T09:00:30.2693614Z if not valid_mask.all(): 2025-12-04T09:00:30.2693746Z 2025-12-04T09:00:31.8005959Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:31.8006722Z 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 2025-12-04T09:00:31.8007302Z boxes.clip(image_shape) 2025-12-04T09:00:31.8007721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:00:31.8008285Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:00:31.8008543Z 2025-12-04T09:00:31.8008678Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:31.8009272Z 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 2025-12-04T09:00:31.8009847Z filter_mask = scores > score_thresh # R x K 2025-12-04T09:00:31.8010021Z 2025-12-04T09:00:31.8010216Z cudagraph partition due to non gpu ops 2025-12-04T09:00:31.8010454Z cudagraph partition due to non gpu ops 2025-12-04T09:00:31.8010668Z cudagraph partition due to non gpu ops 2025-12-04T09:00:31.8010940Z cudagraph partition due to non gpu ops 2025-12-04T09:00:31.8011246Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:31.8011828Z 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 2025-12-04T09:00:31.8012418Z boxes.clip(image_shape) 2025-12-04T09:00:31.8012790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:00:31.8013218Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:00:31.8013384Z 2025-12-04T09:00:34.1656717Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:34.1657734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick 2025-12-04T09:00:34.1658523Z max_coordinate = boxes.max() 2025-12-04T09:00:34.1658762Z 2025-12-04T09:00:34.1658953Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:34.1659774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick 2025-12-04T09:00:34.1660570Z boxes_for_nms = boxes + offsets[:, None] 2025-12-04T09:00:34.1660826Z 2025-12-04T09:00:34.9390516Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:34.9391230Z 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 2025-12-04T09:00:34.9391887Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:00:34.9392106Z 2025-12-04T09:00:34.9392235Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:34.9392862Z 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 2025-12-04T09:00:34.9393465Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:00:34.9393683Z 2025-12-04T09:00:34.9393804Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:34.9394372Z 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 2025-12-04T09:00:34.9394963Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:00:34.9395176Z 2025-12-04T09:00:37.1151547Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:37.1153189Z 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 2025-12-04T09:00:37.1154229Z boxes.clip(image_shape) 2025-12-04T09:00:37.1154911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:00:37.1155785Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:00:37.1156290Z 2025-12-04T09:00:37.1156496Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:37.1157514Z 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 2025-12-04T09:00:37.1158536Z filter_mask = scores > score_thresh # R x K 2025-12-04T09:00:37.1158827Z 2025-12-04T09:00:37.1158977Z cudagraph partition due to non gpu ops 2025-12-04T09:00:37.1159371Z cudagraph partition due to non gpu ops 2025-12-04T09:00:37.1159758Z cudagraph partition due to non gpu ops 2025-12-04T09:00:37.1160237Z cudagraph partition due to non gpu ops 2025-12-04T09:00:37.1160690Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:37.1161870Z 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 2025-12-04T09:00:37.1162881Z boxes.clip(image_shape) 2025-12-04T09:00:37.1163561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:00:37.1164326Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:00:37.1164627Z 2025-12-04T09:00:41.3188987Z cudagraph partition due to non gpu ops 2025-12-04T09:00:41.3189366Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:41.3189894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:00:41.3190378Z output_boxes.clip(results.image_size) 2025-12-04T09:00:41.3190830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:00:41.3191314Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:00:41.3191550Z 2025-12-04T09:00:41.3191638Z cudagraph partition due to non gpu ops 2025-12-04T09:00:41.3191875Z cudagraph partition due to non gpu ops 2025-12-04T09:00:41.3192133Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:41.3192611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:00:41.3193070Z output_boxes.clip(results.image_size) 2025-12-04T09:00:41.3193470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:00:41.3193876Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:00:41.3194038Z 2025-12-04T09:00:41.3194157Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:00:41.3194632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:00:41.3195093Z results = results[output_boxes.nonempty()] 2025-12-04T09:00:41.3195658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T09:00:41.3196078Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T09:00:41.3196247Z 2025-12-04T09:00:54.4059063Z Compilation time (from dynamo_timed): 84.092151652 2025-12-04T09:00:54.4059481Z pass 2025-12-04T09:00:54.4059938Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:00:54.4061244Z TIMING: gc:0.06893 entire_frame_compile:84.09215 _recursive_pre_grad_passes:0.04056 _recursive_joint_graph_passes:0.64129 async_compile.wait:15.18859 inductor_compile:39.56214 backend_compile:55.35875 _recursive_post_grad_passes:0.34882 code_gen:23.8345 total_wall_time:84.09215 2025-12-04T09:00:54.4062424Z STATS: call_* op count: 1156 | FakeTensorMode.__torch_dispatch__:28543 | FakeTensor.__torch_dispatch__:15750 | ProxyTorchDispatchMode.__torch_dispatch__:7713 | attempt fast:153 | slow no contiguity match:62 | fast is_contiguous:91 2025-12-04T09:00:54.4063197Z Dynamo produced 61 graphs covering 1156 ops with 46 graph breaks (6 unique) 2025-12-04T09:00:58.9544853Z /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. 2025-12-04T09:00:58.9545766Z import pynvml # type: ignore[import] 2025-12-04T09:01:01.2929712Z 2025-12-04T09:01:08.2798078Z loading model: 0it [00:00, ?it/s]W1204 09:01:08.278000 6783 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. 2025-12-04T09:01:25.3594457Z 2025-12-04T09:01:25.3597910Z loading model: 0it [00:24, ?it/s] 2025-12-04T09:01:25.3610362Z cpu eval detectron2_fasterrcnn_r_50_c4 2025-12-04T09:01:34.9461564Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_50_c4. Setting accuracy check to cosine 2025-12-04T09:01:34.9540175Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:02:15.0014930Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:02:55.0523258Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:03:12.7000619Z cudagraph partition due to non gpu ops 2025-12-04T09:03:12.7000965Z cudagraph partition due to non gpu ops 2025-12-04T09:03:12.7001207Z cudagraph partition due to non gpu ops 2025-12-04T09:03:12.7001707Z cudagraph partition due to non gpu ops 2025-12-04T09:03:12.7001939Z cudagraph partition due to non gpu ops 2025-12-04T09:03:12.7002171Z cudagraph partition due to non gpu ops 2025-12-04T09:03:12.7002401Z cudagraph partition due to non gpu ops 2025-12-04T09:03:12.7002691Z cudagraph partition due to non gpu ops 2025-12-04T09:03:12.7002947Z cudagraph partition due to non gpu ops 2025-12-04T09:03:12.7003169Z cudagraph partition due to non gpu ops 2025-12-04T09:03:12.7003846Z cudagraph partition due to non gpu ops 2025-12-04T09:03:12.7004511Z cudagraph partition due to non gpu ops 2025-12-04T09:03:12.7004776Z cudagraph partition due to non gpu ops 2025-12-04T09:03:12.7005026Z cudagraph partition due to non gpu ops 2025-12-04T09:03:12.7005266Z cudagraph partition due to non gpu ops 2025-12-04T09:03:12.7005546Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7006239Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7006783Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7007249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:03:12.7007707Z x = self.stem(x) 2025-12-04T09:03:12.7008098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward 2025-12-04T09:03:12.7008503Z x = self.conv1(x) 2025-12-04T09:03:12.7008862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7009242Z x = F.conv2d( 2025-12-04T09:03:12.7009348Z 2025-12-04T09:03:12.7009466Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7010463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7010983Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7011411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:03:12.7011885Z x = self.stem(x) 2025-12-04T09:03:12.7012297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward 2025-12-04T09:03:12.7012689Z x = F.relu_(x) 2025-12-04T09:03:12.7012795Z 2025-12-04T09:03:12.7012914Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7013414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7013903Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7014323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:03:12.7014774Z x = self.stem(x) 2025-12-04T09:03:12.7015146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward 2025-12-04T09:03:12.7015593Z x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1) 2025-12-04T09:03:12.7015771Z 2025-12-04T09:03:12.7015895Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7016424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7016897Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7017303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7017695Z x = stage(x) 2025-12-04T09:03:12.7018062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:12.7018473Z out = self.conv1(x) 2025-12-04T09:03:12.7018832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7019209Z x = F.conv2d( 2025-12-04T09:03:12.7019308Z 2025-12-04T09:03:12.7019522Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7020025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7020510Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7020916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7021317Z x = stage(x) 2025-12-04T09:03:12.7021685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:12.7022101Z out = F.relu_(out) 2025-12-04T09:03:12.7022211Z 2025-12-04T09:03:12.7022321Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7022831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7023302Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7023695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7024071Z x = stage(x) 2025-12-04T09:03:12.7024422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:12.7024853Z out = self.conv2(out) 2025-12-04T09:03:12.7025209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7025592Z x = F.conv2d( 2025-12-04T09:03:12.7025701Z 2025-12-04T09:03:12.7025862Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7026362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7026833Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7027318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7027718Z x = stage(x) 2025-12-04T09:03:12.7028087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:12.7028485Z out = F.relu_(out) 2025-12-04T09:03:12.7028601Z 2025-12-04T09:03:12.7028710Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7029218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7029723Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7030263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7030672Z x = stage(x) 2025-12-04T09:03:12.7031032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:12.7031440Z out = self.conv3(out) 2025-12-04T09:03:12.7031804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7032186Z x = F.conv2d( 2025-12-04T09:03:12.7032283Z 2025-12-04T09:03:12.7032398Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7032876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7033361Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7033773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7034168Z x = stage(x) 2025-12-04T09:03:12.7034523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:03:12.7034929Z shortcut = self.shortcut(x) 2025-12-04T09:03:12.7035299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7035671Z x = F.conv2d( 2025-12-04T09:03:12.7035775Z 2025-12-04T09:03:12.7035884Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7036383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7036862Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7037273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7037659Z x = stage(x) 2025-12-04T09:03:12.7038015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:12.7038412Z out = self.conv1(x) 2025-12-04T09:03:12.7038768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7039151Z x = F.conv2d( 2025-12-04T09:03:12.7039249Z 2025-12-04T09:03:12.7039365Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7039858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7040336Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7040787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7041174Z x = stage(x) 2025-12-04T09:03:12.7041842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:12.7042250Z out = F.relu_(out) 2025-12-04T09:03:12.7042404Z 2025-12-04T09:03:12.7042520Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7043017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7043503Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7043910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7044301Z x = stage(x) 2025-12-04T09:03:12.7044664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:12.7045095Z out = self.conv2(out) 2025-12-04T09:03:12.7045452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7045815Z x = F.conv2d( 2025-12-04T09:03:12.7045921Z 2025-12-04T09:03:12.7046031Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7046538Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7047006Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7047397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7047776Z x = stage(x) 2025-12-04T09:03:12.7048125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:12.7048506Z out = F.relu_(out) 2025-12-04T09:03:12.7048626Z 2025-12-04T09:03:12.7048733Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7049223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7049693Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7050087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7050463Z x = stage(x) 2025-12-04T09:03:12.7050814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:12.7051211Z out = self.conv3(out) 2025-12-04T09:03:12.7051553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7051917Z x = F.conv2d( 2025-12-04T09:03:12.7052018Z 2025-12-04T09:03:12.7052135Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7052618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7053090Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7053494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7053880Z x = stage(x) 2025-12-04T09:03:12.7054224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:12.7054602Z out = F.relu_(out) 2025-12-04T09:03:12.7054707Z 2025-12-04T09:03:12.7054818Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7055306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7055815Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7056219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7056601Z x = stage(x) 2025-12-04T09:03:12.7056939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:12.7057352Z out = self.conv1(x) 2025-12-04T09:03:12.7057694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7058053Z x = F.conv2d( 2025-12-04T09:03:12.7058151Z 2025-12-04T09:03:12.7058254Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7058747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7059226Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7059662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7060052Z x = stage(x) 2025-12-04T09:03:12.7060406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:12.7060793Z out = F.relu_(out) 2025-12-04T09:03:12.7060898Z 2025-12-04T09:03:12.7061006Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7061505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7061979Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7062382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7062758Z x = stage(x) 2025-12-04T09:03:12.7063121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:12.7063514Z out = self.conv2(out) 2025-12-04T09:03:12.7063858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7064227Z x = F.conv2d( 2025-12-04T09:03:12.7064324Z 2025-12-04T09:03:12.7064442Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7064940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7065409Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7065818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7066208Z x = stage(x) 2025-12-04T09:03:12.7066560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:12.7066954Z out = F.relu_(out) 2025-12-04T09:03:12.7067069Z 2025-12-04T09:03:12.7067179Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7067671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7068144Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7068561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7068945Z x = stage(x) 2025-12-04T09:03:12.7069305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:12.7069691Z out = self.conv3(out) 2025-12-04T09:03:12.7070049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7070460Z x = F.conv2d( 2025-12-04T09:03:12.7070557Z 2025-12-04T09:03:12.7070666Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7071156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7071644Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7072044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7072431Z x = stage(x) 2025-12-04T09:03:12.7072778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:12.7073173Z out = F.relu_(out) 2025-12-04T09:03:12.7073277Z 2025-12-04T09:03:12.7073391Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7073874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7074362Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7074762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7075148Z x = stage(x) 2025-12-04T09:03:12.7075493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:12.7075891Z out = self.conv1(x) 2025-12-04T09:03:12.7076236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7076596Z x = F.conv2d( 2025-12-04T09:03:12.7076695Z 2025-12-04T09:03:12.7076800Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7077293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7077762Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7078160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7078534Z x = stage(x) 2025-12-04T09:03:12.7078884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:12.7079264Z out = F.relu_(out) 2025-12-04T09:03:12.7079375Z 2025-12-04T09:03:12.7079480Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7079970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7080437Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7080823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7081213Z x = stage(x) 2025-12-04T09:03:12.7081756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:12.7082162Z out = self.conv2(out) 2025-12-04T09:03:12.7082525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7082905Z x = F.conv2d( 2025-12-04T09:03:12.7083003Z 2025-12-04T09:03:12.7083121Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7083628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7084114Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7084527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7084916Z x = stage(x) 2025-12-04T09:03:12.7085354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:12.7085748Z out = F.relu_(out) 2025-12-04T09:03:12.7085856Z 2025-12-04T09:03:12.7085970Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7086500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7086983Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7087397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7087785Z x = stage(x) 2025-12-04T09:03:12.7088135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:12.7088530Z out = self.conv3(out) 2025-12-04T09:03:12.7088907Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7089289Z x = F.conv2d( 2025-12-04T09:03:12.7089401Z 2025-12-04T09:03:12.7089514Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7090025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7090518Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7090929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7091328Z x = stage(x) 2025-12-04T09:03:12.7091692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:03:12.7092104Z shortcut = self.shortcut(x) 2025-12-04T09:03:12.7092474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7092849Z x = F.conv2d( 2025-12-04T09:03:12.7092950Z 2025-12-04T09:03:12.7093071Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7093574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7094060Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7094476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7094873Z x = stage(x) 2025-12-04T09:03:12.7095230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:12.7095635Z out = self.conv1(x) 2025-12-04T09:03:12.7095991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7096355Z x = F.conv2d( 2025-12-04T09:03:12.7096460Z 2025-12-04T09:03:12.7096571Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7097063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7097543Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7097976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7098368Z x = stage(x) 2025-12-04T09:03:12.7098718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:12.7099120Z out = F.relu_(out) 2025-12-04T09:03:12.7099225Z 2025-12-04T09:03:12.7099329Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7099858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7100331Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7100723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7101115Z x = stage(x) 2025-12-04T09:03:12.7101501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:12.7101902Z out = self.conv2(out) 2025-12-04T09:03:12.7102252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7102652Z x = F.conv2d( 2025-12-04T09:03:12.7102749Z 2025-12-04T09:03:12.7102864Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7103348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7104032Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7104445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7104850Z x = stage(x) 2025-12-04T09:03:12.7105207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:12.7105620Z out = F.relu_(out) 2025-12-04T09:03:12.7105730Z 2025-12-04T09:03:12.7105852Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7106371Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7106836Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7107254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7107708Z x = stage(x) 2025-12-04T09:03:12.7108067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:12.7108481Z out = self.conv3(out) 2025-12-04T09:03:12.7108828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7109204Z x = F.conv2d( 2025-12-04T09:03:12.7109303Z 2025-12-04T09:03:12.7109413Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7109927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7110401Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7110809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7111196Z x = stage(x) 2025-12-04T09:03:12.7111559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:12.7111943Z out = F.relu_(out) 2025-12-04T09:03:12.7112045Z 2025-12-04T09:03:12.7112150Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7112640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7113112Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7113513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7113894Z x = stage(x) 2025-12-04T09:03:12.7114240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:12.7114634Z out = self.conv1(x) 2025-12-04T09:03:12.7115118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7115480Z x = F.conv2d( 2025-12-04T09:03:12.7115582Z 2025-12-04T09:03:12.7115688Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7116178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7116671Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7117068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7117461Z x = stage(x) 2025-12-04T09:03:12.7117809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:12.7118180Z out = F.relu_(out) 2025-12-04T09:03:12.7118291Z 2025-12-04T09:03:12.7118395Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7118920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7119383Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7119784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7120174Z x = stage(x) 2025-12-04T09:03:12.7120525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:12.7120913Z out = self.conv2(out) 2025-12-04T09:03:12.7121257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7121799Z x = F.conv2d( 2025-12-04T09:03:12.7121906Z 2025-12-04T09:03:12.7122018Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7122541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7123028Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7123447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7123833Z x = stage(x) 2025-12-04T09:03:12.7124187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:12.7124582Z out = F.relu_(out) 2025-12-04T09:03:12.7124686Z 2025-12-04T09:03:12.7124801Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7125298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7125780Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7126199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7126584Z x = stage(x) 2025-12-04T09:03:12.7126939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:12.7127333Z out = self.conv3(out) 2025-12-04T09:03:12.7127688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7128045Z x = F.conv2d( 2025-12-04T09:03:12.7128154Z 2025-12-04T09:03:12.7128262Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7128765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7129243Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7129646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7130089Z x = stage(x) 2025-12-04T09:03:12.7130450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:12.7130834Z out = F.relu_(out) 2025-12-04T09:03:12.7130947Z 2025-12-04T09:03:12.7131055Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7131587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7132144Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7132558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7132951Z x = stage(x) 2025-12-04T09:03:12.7133309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:12.7133728Z out = self.conv1(x) 2025-12-04T09:03:12.7134088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7134464Z x = F.conv2d( 2025-12-04T09:03:12.7134562Z 2025-12-04T09:03:12.7134679Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7135181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7135667Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7136080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7136479Z x = stage(x) 2025-12-04T09:03:12.7136821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:12.7137208Z out = F.relu_(out) 2025-12-04T09:03:12.7137311Z 2025-12-04T09:03:12.7137431Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7137916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7138392Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7138800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7139183Z x = stage(x) 2025-12-04T09:03:12.7139530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:12.7139921Z out = self.conv2(out) 2025-12-04T09:03:12.7140269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7140622Z x = F.conv2d( 2025-12-04T09:03:12.7140723Z 2025-12-04T09:03:12.7140832Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7141332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7141804Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7142196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7142588Z x = stage(x) 2025-12-04T09:03:12.7142934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:12.7143327Z out = F.relu_(out) 2025-12-04T09:03:12.7143431Z 2025-12-04T09:03:12.7143539Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7144036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7144535Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7145011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7145408Z x = stage(x) 2025-12-04T09:03:12.7145758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:12.7146172Z out = self.conv3(out) 2025-12-04T09:03:12.7146509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7146865Z x = F.conv2d( 2025-12-04T09:03:12.7146962Z 2025-12-04T09:03:12.7147082Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7147566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7148047Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7148452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7148855Z x = stage(x) 2025-12-04T09:03:12.7149191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:12.7149570Z out = F.relu_(out) 2025-12-04T09:03:12.7149678Z 2025-12-04T09:03:12.7149790Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7150277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7150758Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7151164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7151545Z x = stage(x) 2025-12-04T09:03:12.7151895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:12.7152291Z out = self.conv1(x) 2025-12-04T09:03:12.7152638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7152997Z x = F.conv2d( 2025-12-04T09:03:12.7153093Z 2025-12-04T09:03:12.7153205Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7153707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7154183Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7154587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7154977Z x = stage(x) 2025-12-04T09:03:12.7155331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:12.7155726Z out = F.relu_(out) 2025-12-04T09:03:12.7155833Z 2025-12-04T09:03:12.7155942Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7156442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7156922Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7157336Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7157813Z x = stage(x) 2025-12-04T09:03:12.7158173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:12.7158570Z out = self.conv2(out) 2025-12-04T09:03:12.7158932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7159296Z x = F.conv2d( 2025-12-04T09:03:12.7159405Z 2025-12-04T09:03:12.7159559Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7160066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7160540Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7160973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7161488Z x = stage(x) 2025-12-04T09:03:12.7161873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:12.7162259Z out = F.relu_(out) 2025-12-04T09:03:12.7162393Z 2025-12-04T09:03:12.7162504Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7163018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7163537Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7163940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7164330Z x = stage(x) 2025-12-04T09:03:12.7164685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:12.7165075Z out = self.conv3(out) 2025-12-04T09:03:12.7165430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7165793Z x = F.conv2d( 2025-12-04T09:03:12.7165893Z 2025-12-04T09:03:12.7166014Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7166507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7166992Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7167398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7167777Z x = stage(x) 2025-12-04T09:03:12.7168131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:03:12.7168533Z shortcut = self.shortcut(x) 2025-12-04T09:03:12.7168897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7169255Z x = F.conv2d( 2025-12-04T09:03:12.7169360Z 2025-12-04T09:03:12.7169470Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7169970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7170463Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7170865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7171242Z x = stage(x) 2025-12-04T09:03:12.7171584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:12.7171960Z out = self.conv1(x) 2025-12-04T09:03:12.7172297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7172649Z x = F.conv2d( 2025-12-04T09:03:12.7172743Z 2025-12-04T09:03:12.7172857Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7173341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7173806Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7174249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7174622Z x = stage(x) 2025-12-04T09:03:12.7174970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:12.7175358Z out = F.relu_(out) 2025-12-04T09:03:12.7175482Z 2025-12-04T09:03:12.7175597Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7176081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7176562Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7176967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7177350Z x = stage(x) 2025-12-04T09:03:12.7177697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:12.7178111Z out = self.conv2(out) 2025-12-04T09:03:12.7178457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7178802Z x = F.conv2d( 2025-12-04T09:03:12.7178905Z 2025-12-04T09:03:12.7179012Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7179497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7179959Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7180353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7180731Z x = stage(x) 2025-12-04T09:03:12.7181074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:12.7181448Z out = F.relu_(out) 2025-12-04T09:03:12.7181564Z 2025-12-04T09:03:12.7181669Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7182153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7182618Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7183010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7183387Z x = stage(x) 2025-12-04T09:03:12.7183732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:12.7184118Z out = self.conv3(out) 2025-12-04T09:03:12.7184453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7184808Z x = F.conv2d( 2025-12-04T09:03:12.7184906Z 2025-12-04T09:03:12.7185024Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7185498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7185978Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7186374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7186747Z x = stage(x) 2025-12-04T09:03:12.7187083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:12.7187459Z out = F.relu_(out) 2025-12-04T09:03:12.7187563Z 2025-12-04T09:03:12.7187676Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7188157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7188672Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7189071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7189445Z x = stage(x) 2025-12-04T09:03:12.7189782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:12.7190191Z out = self.conv1(x) 2025-12-04T09:03:12.7190538Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7190901Z x = F.conv2d( 2025-12-04T09:03:12.7190998Z 2025-12-04T09:03:12.7191109Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7191605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7192096Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7192546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7192946Z x = stage(x) 2025-12-04T09:03:12.7193307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:12.7193710Z out = F.relu_(out) 2025-12-04T09:03:12.7193820Z 2025-12-04T09:03:12.7193934Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7194450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7194941Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7195363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7195757Z x = stage(x) 2025-12-04T09:03:12.7196134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:12.7196543Z out = self.conv2(out) 2025-12-04T09:03:12.7196899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7197278Z x = F.conv2d( 2025-12-04T09:03:12.7197380Z 2025-12-04T09:03:12.7197500Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7198013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7198497Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7198917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7199316Z x = stage(x) 2025-12-04T09:03:12.7199678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:12.7200079Z out = F.relu_(out) 2025-12-04T09:03:12.7200196Z 2025-12-04T09:03:12.7200308Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7200822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7201389Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7201822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7202226Z x = stage(x) 2025-12-04T09:03:12.7202587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:12.7202990Z out = self.conv3(out) 2025-12-04T09:03:12.7203349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7203996Z x = F.conv2d( 2025-12-04T09:03:12.7204098Z 2025-12-04T09:03:12.7204210Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7204714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7205221Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7205634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7206025Z x = stage(x) 2025-12-04T09:03:12.7206382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:12.7206771Z out = F.relu_(out) 2025-12-04T09:03:12.7206879Z 2025-12-04T09:03:12.7206996Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7207493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7208007Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7208424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7208793Z x = stage(x) 2025-12-04T09:03:12.7209135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:12.7209512Z out = self.conv1(x) 2025-12-04T09:03:12.7209846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7210190Z x = F.conv2d( 2025-12-04T09:03:12.7210289Z 2025-12-04T09:03:12.7210395Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7210888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7211348Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7211743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7212122Z x = stage(x) 2025-12-04T09:03:12.7212467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:12.7212840Z out = F.relu_(out) 2025-12-04T09:03:12.7212951Z 2025-12-04T09:03:12.7213055Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7213539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7213999Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7214388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7214767Z x = stage(x) 2025-12-04T09:03:12.7215110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:12.7215485Z out = self.conv2(out) 2025-12-04T09:03:12.7215829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7216192Z x = F.conv2d( 2025-12-04T09:03:12.7216287Z 2025-12-04T09:03:12.7216402Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7216881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7217348Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7217743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7218183Z x = stage(x) 2025-12-04T09:03:12.7218568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:12.7218950Z out = F.relu_(out) 2025-12-04T09:03:12.7219053Z 2025-12-04T09:03:12.7219167Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7219663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7220130Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7220528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7220915Z x = stage(x) 2025-12-04T09:03:12.7221252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:12.7221642Z out = self.conv3(out) 2025-12-04T09:03:12.7221985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7222341Z x = F.conv2d( 2025-12-04T09:03:12.7222444Z 2025-12-04T09:03:12.7222551Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7223039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7223507Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7223894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7224283Z x = stage(x) 2025-12-04T09:03:12.7224630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:12.7225015Z out = F.relu_(out) 2025-12-04T09:03:12.7225120Z 2025-12-04T09:03:12.7225223Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7225716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7226181Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7226564Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7226942Z x = stage(x) 2025-12-04T09:03:12.7227288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:12.7227665Z out = self.conv1(x) 2025-12-04T09:03:12.7227995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7228358Z x = F.conv2d( 2025-12-04T09:03:12.7228447Z 2025-12-04T09:03:12.7228554Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7229018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7229487Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7229881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7230261Z x = stage(x) 2025-12-04T09:03:12.7230600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:12.7230983Z out = F.relu_(out) 2025-12-04T09:03:12.7231087Z 2025-12-04T09:03:12.7231203Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7231678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7232131Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7232571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7232956Z x = stage(x) 2025-12-04T09:03:12.7233297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:12.7233677Z out = self.conv2(out) 2025-12-04T09:03:12.7234038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7234394Z x = F.conv2d( 2025-12-04T09:03:12.7234498Z 2025-12-04T09:03:12.7234606Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7235089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7235550Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7235948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7236338Z x = stage(x) 2025-12-04T09:03:12.7236681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:12.7237057Z out = F.relu_(out) 2025-12-04T09:03:12.7237161Z 2025-12-04T09:03:12.7237267Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7237747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7238208Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7238602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7238980Z x = stage(x) 2025-12-04T09:03:12.7239324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:12.7239714Z out = self.conv3(out) 2025-12-04T09:03:12.7240060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7240433Z x = F.conv2d( 2025-12-04T09:03:12.7240534Z 2025-12-04T09:03:12.7240643Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7241141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7241706Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7242127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7242523Z x = stage(x) 2025-12-04T09:03:12.7242882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:12.7243283Z out = F.relu_(out) 2025-12-04T09:03:12.7243404Z 2025-12-04T09:03:12.7243518Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7244028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7244490Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7244892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7245271Z x = stage(x) 2025-12-04T09:03:12.7245617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:12.7246005Z out = self.conv1(x) 2025-12-04T09:03:12.7246352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7246720Z x = F.conv2d( 2025-12-04T09:03:12.7246811Z 2025-12-04T09:03:12.7246970Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7247462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7247931Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7248328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7248737Z x = stage(x) 2025-12-04T09:03:12.7249090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:12.7249470Z out = F.relu_(out) 2025-12-04T09:03:12.7249574Z 2025-12-04T09:03:12.7249686Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7250166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7250655Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7251050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7251419Z x = stage(x) 2025-12-04T09:03:12.7251766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:12.7252149Z out = self.conv2(out) 2025-12-04T09:03:12.7252495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7252841Z x = F.conv2d( 2025-12-04T09:03:12.7252943Z 2025-12-04T09:03:12.7253048Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7253534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7253996Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7254387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7254766Z x = stage(x) 2025-12-04T09:03:12.7255109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:12.7255594Z out = F.relu_(out) 2025-12-04T09:03:12.7255707Z 2025-12-04T09:03:12.7255814Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7256303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7256770Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7257168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7257552Z x = stage(x) 2025-12-04T09:03:12.7257909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:12.7258291Z out = self.conv3(out) 2025-12-04T09:03:12.7258636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:12.7258991Z x = F.conv2d( 2025-12-04T09:03:12.7259087Z 2025-12-04T09:03:12.7259203Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:12.7259686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:03:12.7260159Z features = self.backbone(images.tensor) 2025-12-04T09:03:12.7260557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:03:12.7260945Z x = stage(x) 2025-12-04T09:03:12.7261283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:12.7261710Z out = F.relu_(out) 2025-12-04T09:03:12.7261816Z 2025-12-04T09:03:22.1339202Z cudagraph partition due to non gpu ops 2025-12-04T09:03:22.1339734Z cudagraph partition due to non gpu ops 2025-12-04T09:03:22.1340942Z cudagraph partition due to non gpu ops 2025-12-04T09:03:22.1345392Z cudagraph partition due to non gpu ops 2025-12-04T09:03:22.1350302Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:22.1354865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format 2025-12-04T09:03:22.1356491Z sizes = shapes_to_tensor([x.__len__() for x in box_lists]) 2025-12-04T09:03:22.1357039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:03:22.1357597Z return torch.as_tensor(x, device=device) 2025-12-04T09:03:22.1357773Z 2025-12-04T09:03:22.1357895Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:22.1358585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format 2025-12-04T09:03:22.1359062Z boxes = torch.cat([x.tensor for x in box_lists], dim=0) 2025-12-04T09:03:22.1359234Z 2025-12-04T09:03:22.8504438Z cudagraph partition due to non gpu ops 2025-12-04T09:03:22.8504870Z cudagraph partition due to non gpu ops 2025-12-04T09:03:22.8505166Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:22.8505802Z 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 2025-12-04T09:03:22.8506330Z return cat([indices[:, None], boxes], dim=1) 2025-12-04T09:03:22.8506741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:03:22.8507128Z return torch.cat(tensors, dim) 2025-12-04T09:03:22.8507265Z 2025-12-04T09:03:23.4500211Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:23.4500853Z 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 2025-12-04T09:03:23.4501376Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T09:03:23.4501810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:03:23.4502204Z return roi_align( 2025-12-04T09:03:23.4502569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:03:23.4502981Z return torch.ops.torchvision.roi_align( 2025-12-04T09:03:23.4503136Z 2025-12-04T09:03:23.4503259Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:23.4503885Z 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 2025-12-04T09:03:23.4504396Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T09:03:23.4504806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:03:23.4505171Z return roi_align( 2025-12-04T09:03:23.4505520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:03:23.4505997Z return torch.ops.torchvision.roi_align( 2025-12-04T09:03:23.4506154Z 2025-12-04T09:03:27.8682041Z cudagraph partition due to non gpu ops 2025-12-04T09:03:27.8682412Z cudagraph partition due to non gpu ops 2025-12-04T09:03:27.8682646Z cudagraph partition due to non gpu ops 2025-12-04T09:03:27.8682916Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8683511Z 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 2025-12-04T09:03:27.8684493Z return self.res5(x) 2025-12-04T09:03:27.8684894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:27.8685311Z out = self.conv1(x) 2025-12-04T09:03:27.8685654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:27.8686108Z x = F.conv2d( 2025-12-04T09:03:27.8686214Z 2025-12-04T09:03:27.8686337Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8686889Z 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 2025-12-04T09:03:27.8687380Z return self.res5(x) 2025-12-04T09:03:27.8687760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:27.8688251Z out = F.relu_(out) 2025-12-04T09:03:27.8688362Z 2025-12-04T09:03:27.8688474Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8689019Z 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 2025-12-04T09:03:27.8689521Z return self.res5(x) 2025-12-04T09:03:27.8689891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:27.8690288Z out = self.conv2(out) 2025-12-04T09:03:27.8690654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:27.8691030Z x = F.conv2d( 2025-12-04T09:03:27.8691130Z 2025-12-04T09:03:27.8691251Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8691777Z 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 2025-12-04T09:03:27.8692343Z return self.res5(x) 2025-12-04T09:03:27.8692710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:27.8693095Z out = F.relu_(out) 2025-12-04T09:03:27.8693211Z 2025-12-04T09:03:27.8693319Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8693857Z 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 2025-12-04T09:03:27.8694343Z return self.res5(x) 2025-12-04T09:03:27.8694709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:27.8695112Z out = self.conv3(out) 2025-12-04T09:03:27.8695469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:27.8695845Z x = F.conv2d( 2025-12-04T09:03:27.8695940Z 2025-12-04T09:03:27.8696047Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8696772Z 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 2025-12-04T09:03:27.8697273Z return self.res5(x) 2025-12-04T09:03:27.8697639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:03:27.8698047Z shortcut = self.shortcut(x) 2025-12-04T09:03:27.8698417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:27.8698786Z x = F.conv2d( 2025-12-04T09:03:27.8698881Z 2025-12-04T09:03:27.8698989Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8699566Z 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 2025-12-04T09:03:27.8700056Z return self.res5(x) 2025-12-04T09:03:27.8700416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:27.8700881Z out = self.conv1(x) 2025-12-04T09:03:27.8701225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:27.8701586Z x = F.conv2d( 2025-12-04T09:03:27.8701680Z 2025-12-04T09:03:27.8701786Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8702311Z 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 2025-12-04T09:03:27.8702792Z return self.res5(x) 2025-12-04T09:03:27.8703156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:27.8703784Z out = F.relu_(out) 2025-12-04T09:03:27.8703902Z 2025-12-04T09:03:27.8704009Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8704583Z 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 2025-12-04T09:03:27.8705071Z return self.res5(x) 2025-12-04T09:03:27.8705440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:27.8705831Z out = self.conv2(out) 2025-12-04T09:03:27.8706173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:27.8706546Z x = F.conv2d( 2025-12-04T09:03:27.8706650Z 2025-12-04T09:03:27.8706756Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8707282Z 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 2025-12-04T09:03:27.8707770Z return self.res5(x) 2025-12-04T09:03:27.8708134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:27.8708518Z out = F.relu_(out) 2025-12-04T09:03:27.8708622Z 2025-12-04T09:03:27.8708746Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8709229Z 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 2025-12-04T09:03:27.8709685Z return self.res5(x) 2025-12-04T09:03:27.8710147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:27.8710518Z out = self.conv3(out) 2025-12-04T09:03:27.8710853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:27.8711196Z x = F.conv2d( 2025-12-04T09:03:27.8711291Z 2025-12-04T09:03:27.8711405Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8711918Z 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 2025-12-04T09:03:27.8712411Z return self.res5(x) 2025-12-04T09:03:27.8712774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:27.8713156Z out = F.relu_(out) 2025-12-04T09:03:27.8713259Z 2025-12-04T09:03:27.8713365Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8713966Z 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 2025-12-04T09:03:27.8714445Z return self.res5(x) 2025-12-04T09:03:27.8714797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:03:27.8715178Z out = self.conv1(x) 2025-12-04T09:03:27.8715511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:27.8715902Z x = F.conv2d( 2025-12-04T09:03:27.8715998Z 2025-12-04T09:03:27.8716147Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8716658Z 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 2025-12-04T09:03:27.8717135Z return self.res5(x) 2025-12-04T09:03:27.8717491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:03:27.8717901Z out = F.relu_(out) 2025-12-04T09:03:27.8718013Z 2025-12-04T09:03:27.8718119Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8718637Z 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 2025-12-04T09:03:27.8719116Z return self.res5(x) 2025-12-04T09:03:27.8719471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:03:27.8719868Z out = self.conv2(out) 2025-12-04T09:03:27.8720213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:27.8720561Z x = F.conv2d( 2025-12-04T09:03:27.8720664Z 2025-12-04T09:03:27.8720771Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8721499Z 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 2025-12-04T09:03:27.8722012Z return self.res5(x) 2025-12-04T09:03:27.8722373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:03:27.8722766Z out = F.relu_(out) 2025-12-04T09:03:27.8722885Z 2025-12-04T09:03:27.8722996Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8723525Z 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 2025-12-04T09:03:27.8724010Z return self.res5(x) 2025-12-04T09:03:27.8724376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:03:27.8724772Z out = self.conv3(out) 2025-12-04T09:03:27.8725125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:03:27.8725493Z x = F.conv2d( 2025-12-04T09:03:27.8725597Z 2025-12-04T09:03:27.8725707Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:27.8726235Z 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 2025-12-04T09:03:27.8726718Z return self.res5(x) 2025-12-04T09:03:27.8727088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:03:27.8727478Z out = F.relu_(out) 2025-12-04T09:03:27.8727583Z 2025-12-04T09:03:40.0895534Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:40.0896175Z 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 2025-12-04T09:03:40.0896733Z predictions = self.box_predictor(box_features.mean(dim=[2, 3])) 2025-12-04T09:03:40.0897625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward 2025-12-04T09:03:40.0898039Z scores = self.cls_score(x) 2025-12-04T09:03:40.0898178Z 2025-12-04T09:03:40.0898294Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:40.0899510Z 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 2025-12-04T09:03:40.0900045Z predictions = self.box_predictor(box_features.mean(dim=[2, 3])) 2025-12-04T09:03:40.0900515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward 2025-12-04T09:03:40.0900941Z proposal_deltas = self.bbox_pred(x) 2025-12-04T09:03:40.0901086Z 2025-12-04T09:03:41.6439415Z cudagraph partition due to non gpu ops 2025-12-04T09:03:41.6439761Z cudagraph partition due to non gpu ops 2025-12-04T09:03:41.6440349Z cudagraph partition due to non gpu ops 2025-12-04T09:03:41.6440587Z cudagraph partition due to non gpu ops 2025-12-04T09:03:41.6440897Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:41.6441476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T09:03:41.6441982Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T09:03:41.6442454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes 2025-12-04T09:03:41.6442998Z proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0) 2025-12-04T09:03:41.6443454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:03:41.6443824Z return torch.cat(tensors, dim) 2025-12-04T09:03:41.6443965Z 2025-12-04T09:03:41.6444080Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:41.6444539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T09:03:41.6444993Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T09:03:41.6445438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes 2025-12-04T09:03:41.6445889Z predict_boxes = self.box2box_transform.apply_deltas( 2025-12-04T09:03:41.6446322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T09:03:41.6446724Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:03:41.6446871Z 2025-12-04T09:03:44.0870947Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:44.0873742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick 2025-12-04T09:03:44.0874269Z max_coordinate = boxes.max() 2025-12-04T09:03:44.0877753Z 2025-12-04T09:03:44.0877993Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:44.0878478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick 2025-12-04T09:03:44.0878943Z boxes_for_nms = boxes + offsets[:, None] 2025-12-04T09:03:44.0879096Z 2025-12-04T09:03:44.8279558Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:44.8280309Z 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 2025-12-04T09:03:44.8280943Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:03:44.8281166Z 2025-12-04T09:03:44.8281294Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:44.8282574Z 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 2025-12-04T09:03:44.8283215Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:03:44.8283435Z 2025-12-04T09:03:44.8283553Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:03:44.8284212Z 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 2025-12-04T09:03:44.8284819Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:03:44.8285035Z 2025-12-04T09:04:10.8146767Z Compilation time (from dynamo_timed): 43.195553974 2025-12-04T09:04:10.8147107Z pass 2025-12-04T09:04:10.8155837Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:04:10.8156817Z TIMING: gc:0.04571 entire_frame_compile:43.19555 _recursive_pre_grad_passes:0.02989 _recursive_joint_graph_passes:0.58476 async_compile.wait:5.09954 inductor_compile:18.9459 backend_compile:27.96618 _recursive_post_grad_passes:0.10557 code_gen:8.44729 total_wall_time:43.19555 2025-12-04T09:04:10.8158255Z 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 2025-12-04T09:04:10.8158967Z Dynamo produced 53 graphs covering 606 ops with 42 graph breaks (6 unique) 2025-12-04T09:04:14.0218331Z /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. 2025-12-04T09:04:14.0219677Z import pynvml # type: ignore[import] 2025-12-04T09:04:16.3073098Z 2025-12-04T09:04:31.5165049Z loading model: 0it [00:00, ?it/s]W1204 09:04:31.515000 7120 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. 2025-12-04T09:04:36.5601617Z 2025-12-04T09:04:36.5607055Z loading model: 0it [00:20, ?it/s] 2025-12-04T09:04:36.5615493Z cpu eval detectron2_fasterrcnn_r_50_dc5 2025-12-04T09:04:54.0824138Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_50_dc5. Setting accuracy check to cosine 2025-12-04T09:04:54.1300720Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:05:21.0251941Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:05:47.8029102Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:06:07.2972885Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2973250Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2973487Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2973720Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2973982Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2974211Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2974443Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2974700Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2974924Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2975190Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2975419Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2975641Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2975910Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2976150Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2976802Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2977038Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2977285Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2977526Z cudagraph partition due to non gpu ops 2025-12-04T09:06:07.2977799Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.2978454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.2978980Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.2979428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:06:07.2979857Z x = self.stem(x) 2025-12-04T09:06:07.2980243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward 2025-12-04T09:06:07.2980669Z x = self.conv1(x) 2025-12-04T09:06:07.2981082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.2981452Z x = F.conv2d( 2025-12-04T09:06:07.2981560Z 2025-12-04T09:06:07.2981675Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.2982203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.2982703Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.2983123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:06:07.2983528Z x = self.stem(x) 2025-12-04T09:06:07.2983899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward 2025-12-04T09:06:07.2984286Z x = F.relu_(x) 2025-12-04T09:06:07.2984386Z 2025-12-04T09:06:07.2984497Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.2985022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.2985510Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.2985921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:06:07.2986309Z x = self.stem(x) 2025-12-04T09:06:07.2986683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward 2025-12-04T09:06:07.2987136Z x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1) 2025-12-04T09:06:07.2987314Z 2025-12-04T09:06:07.2987430Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.2987945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.2988443Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.2988855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.2989244Z x = stage(x) 2025-12-04T09:06:07.2989616Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:06:07.2990019Z out = self.conv1(x) 2025-12-04T09:06:07.2990374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.2990745Z x = F.conv2d( 2025-12-04T09:06:07.2990851Z 2025-12-04T09:06:07.2990961Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.2991462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.2991940Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.2992401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.2992797Z x = stage(x) 2025-12-04T09:06:07.2993159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:06:07.2993614Z out = F.relu_(out) 2025-12-04T09:06:07.2993732Z 2025-12-04T09:06:07.2993841Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.2994343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.2994834Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.2995234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.2995629Z x = stage(x) 2025-12-04T09:06:07.2995991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:06:07.2996421Z out = self.conv2(out) 2025-12-04T09:06:07.2996783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.2997165Z x = F.conv2d( 2025-12-04T09:06:07.2997268Z 2025-12-04T09:06:07.2997456Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.2998158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.2998770Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.2999251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.2999774Z x = stage(x) 2025-12-04T09:06:07.3000338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:06:07.3014526Z out = F.relu_(out) 2025-12-04T09:06:07.3014695Z 2025-12-04T09:06:07.3014830Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3015405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3015930Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3016373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3016790Z x = stage(x) 2025-12-04T09:06:07.3017171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:06:07.3017577Z out = self.conv3(out) 2025-12-04T09:06:07.3017952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3018336Z x = F.conv2d( 2025-12-04T09:06:07.3018439Z 2025-12-04T09:06:07.3018566Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3019075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3019572Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3019993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3020380Z x = stage(x) 2025-12-04T09:06:07.3020750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:06:07.3021170Z shortcut = self.shortcut(x) 2025-12-04T09:06:07.3021533Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3021888Z x = F.conv2d( 2025-12-04T09:06:07.3021996Z 2025-12-04T09:06:07.3022291Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3022810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3023302Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3023768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3024161Z x = stage(x) 2025-12-04T09:06:07.3024520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:06:07.3024910Z out = self.conv1(x) 2025-12-04T09:06:07.3025266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3025633Z x = F.conv2d( 2025-12-04T09:06:07.3025732Z 2025-12-04T09:06:07.3025850Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3026399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3026906Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3027336Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3027746Z x = stage(x) 2025-12-04T09:06:07.3028124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:06:07.3028538Z out = F.relu_(out) 2025-12-04T09:06:07.3028655Z 2025-12-04T09:06:07.3028776Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3029297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3029809Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3030241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3030645Z x = stage(x) 2025-12-04T09:06:07.3031025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:06:07.3031446Z out = self.conv2(out) 2025-12-04T09:06:07.3031963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3032328Z x = F.conv2d( 2025-12-04T09:06:07.3032436Z 2025-12-04T09:06:07.3032547Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3033054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3033539Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3033948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3034341Z x = stage(x) 2025-12-04T09:06:07.3034701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:06:07.3035098Z out = F.relu_(out) 2025-12-04T09:06:07.3035215Z 2025-12-04T09:06:07.3035325Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3035827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3036309Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3036711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3037102Z x = stage(x) 2025-12-04T09:06:07.3037511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:06:07.3037917Z out = self.conv3(out) 2025-12-04T09:06:07.3038269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3038638Z x = F.conv2d( 2025-12-04T09:06:07.3038761Z 2025-12-04T09:06:07.3038879Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3039372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3039852Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3040259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3040649Z x = stage(x) 2025-12-04T09:06:07.3041000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:06:07.3041626Z out = F.relu_(out) 2025-12-04T09:06:07.3041742Z 2025-12-04T09:06:07.3041863Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3042357Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3042846Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3043256Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3043674Z x = stage(x) 2025-12-04T09:06:07.3044028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:06:07.3044430Z out = self.conv1(x) 2025-12-04T09:06:07.3044787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3045185Z x = F.conv2d( 2025-12-04T09:06:07.3045286Z 2025-12-04T09:06:07.3045547Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3046051Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3046531Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3046936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3047339Z x = stage(x) 2025-12-04T09:06:07.3047700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:06:07.3048120Z out = F.relu_(out) 2025-12-04T09:06:07.3048229Z 2025-12-04T09:06:07.3048340Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3048854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3049340Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3049758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3050161Z x = stage(x) 2025-12-04T09:06:07.3050523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:06:07.3050948Z out = self.conv2(out) 2025-12-04T09:06:07.3051299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3051693Z x = F.conv2d( 2025-12-04T09:06:07.3051790Z 2025-12-04T09:06:07.3051909Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3052416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3052967Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3053386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3053782Z x = stage(x) 2025-12-04T09:06:07.3054137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:06:07.3054549Z out = F.relu_(out) 2025-12-04T09:06:07.3054670Z 2025-12-04T09:06:07.3054781Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3055284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3055761Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3056160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3056571Z x = stage(x) 2025-12-04T09:06:07.3056935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:06:07.3057330Z out = self.conv3(out) 2025-12-04T09:06:07.3057677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3058045Z x = F.conv2d( 2025-12-04T09:06:07.3058143Z 2025-12-04T09:06:07.3058260Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3058757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3059236Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3059646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3060036Z x = stage(x) 2025-12-04T09:06:07.3060389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:06:07.3060786Z out = F.relu_(out) 2025-12-04T09:06:07.3060894Z 2025-12-04T09:06:07.3061013Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3061518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3061994Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3062402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3062796Z x = stage(x) 2025-12-04T09:06:07.3063134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:06:07.3063515Z out = self.conv1(x) 2025-12-04T09:06:07.3063857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3064215Z x = F.conv2d( 2025-12-04T09:06:07.3064310Z 2025-12-04T09:06:07.3064414Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3064917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3065441Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3065883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3066281Z x = stage(x) 2025-12-04T09:06:07.3066645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:06:07.3067048Z out = F.relu_(out) 2025-12-04T09:06:07.3067155Z 2025-12-04T09:06:07.3067260Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3067790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3068269Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3068684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3069092Z x = stage(x) 2025-12-04T09:06:07.3069441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:06:07.3069829Z out = self.conv2(out) 2025-12-04T09:06:07.3070166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3070534Z x = F.conv2d( 2025-12-04T09:06:07.3070635Z 2025-12-04T09:06:07.3070740Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3071233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3071715Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3072116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3072504Z x = stage(x) 2025-12-04T09:06:07.3072849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:06:07.3073246Z out = F.relu_(out) 2025-12-04T09:06:07.3073355Z 2025-12-04T09:06:07.3073460Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3073948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3074403Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3074803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3075191Z x = stage(x) 2025-12-04T09:06:07.3075535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:06:07.3075921Z out = self.conv3(out) 2025-12-04T09:06:07.3076263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3076633Z x = F.conv2d( 2025-12-04T09:06:07.3076728Z 2025-12-04T09:06:07.3076833Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3077322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3077795Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3078192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3078578Z x = stage(x) 2025-12-04T09:06:07.3078929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:06:07.3079331Z shortcut = self.shortcut(x) 2025-12-04T09:06:07.3079696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3080057Z x = F.conv2d( 2025-12-04T09:06:07.3080159Z 2025-12-04T09:06:07.3080268Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3080773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3081334Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3081760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3082159Z x = stage(x) 2025-12-04T09:06:07.3082581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:06:07.3082981Z out = self.conv1(x) 2025-12-04T09:06:07.3083341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3083746Z x = F.conv2d( 2025-12-04T09:06:07.3083844Z 2025-12-04T09:06:07.3083952Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3084464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3084945Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3085352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3085744Z x = stage(x) 2025-12-04T09:06:07.3086104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:06:07.3086519Z out = F.relu_(out) 2025-12-04T09:06:07.3086626Z 2025-12-04T09:06:07.3086742Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3087237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3087723Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3088130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3088523Z x = stage(x) 2025-12-04T09:06:07.3088883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:06:07.3089289Z out = self.conv2(out) 2025-12-04T09:06:07.3089643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3090005Z x = F.conv2d( 2025-12-04T09:06:07.3090109Z 2025-12-04T09:06:07.3090218Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3090720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3091198Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3091595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3091989Z x = stage(x) 2025-12-04T09:06:07.3092346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:06:07.3092742Z out = F.relu_(out) 2025-12-04T09:06:07.3092857Z 2025-12-04T09:06:07.3092964Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3093463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3093940Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3094339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3094727Z x = stage(x) 2025-12-04T09:06:07.3095080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:06:07.3095479Z out = self.conv3(out) 2025-12-04T09:06:07.3095830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3096198Z x = F.conv2d( 2025-12-04T09:06:07.3096296Z 2025-12-04T09:06:07.3096413Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3096948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3097438Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3097846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3098240Z x = stage(x) 2025-12-04T09:06:07.3098620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:06:07.3099018Z out = F.relu_(out) 2025-12-04T09:06:07.3099121Z 2025-12-04T09:06:07.3099233Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3099714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3100184Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3100580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3100992Z x = stage(x) 2025-12-04T09:06:07.3101328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:06:07.3101710Z out = self.conv1(x) 2025-12-04T09:06:07.3102046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3102394Z x = F.conv2d( 2025-12-04T09:06:07.3102495Z 2025-12-04T09:06:07.3102602Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3103093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3103764Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3104173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3104568Z x = stage(x) 2025-12-04T09:06:07.3104927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:06:07.3105322Z out = F.relu_(out) 2025-12-04T09:06:07.3105430Z 2025-12-04T09:06:07.3105540Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3106046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3106527Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3106924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3107311Z x = stage(x) 2025-12-04T09:06:07.3107662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:06:07.3108057Z out = self.conv2(out) 2025-12-04T09:06:07.3108406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3108770Z x = F.conv2d( 2025-12-04T09:06:07.3108867Z 2025-12-04T09:06:07.3108983Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3109478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3109962Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3110368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3110763Z x = stage(x) 2025-12-04T09:06:07.3111111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:06:07.3111518Z out = F.relu_(out) 2025-12-04T09:06:07.3111624Z 2025-12-04T09:06:07.3111742Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3112794Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3113279Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3113692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3114111Z x = stage(x) 2025-12-04T09:06:07.3114459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:06:07.3114870Z out = self.conv3(out) 2025-12-04T09:06:07.3115223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3115602Z x = F.conv2d( 2025-12-04T09:06:07.3115701Z 2025-12-04T09:06:07.3115810Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3116364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3116851Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3117257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3117652Z x = stage(x) 2025-12-04T09:06:07.3118007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:06:07.3118401Z out = F.relu_(out) 2025-12-04T09:06:07.3118508Z 2025-12-04T09:06:07.3118616Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3119123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3119605Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3120019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3120407Z x = stage(x) 2025-12-04T09:06:07.3120770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:06:07.3121236Z out = self.conv1(x) 2025-12-04T09:06:07.3121595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3121962Z x = F.conv2d( 2025-12-04T09:06:07.3122060Z 2025-12-04T09:06:07.3122179Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3122690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3123170Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3123590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3123985Z x = stage(x) 2025-12-04T09:06:07.3124338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:06:07.3124731Z out = F.relu_(out) 2025-12-04T09:06:07.3124843Z 2025-12-04T09:06:07.3124955Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3125457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3125930Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3126341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3126730Z x = stage(x) 2025-12-04T09:06:07.3127088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:06:07.3127530Z out = self.conv2(out) 2025-12-04T09:06:07.3127887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3128266Z x = F.conv2d( 2025-12-04T09:06:07.3128362Z 2025-12-04T09:06:07.3128470Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3129005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3129488Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3129898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3130294Z x = stage(x) 2025-12-04T09:06:07.3130650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:06:07.3131057Z out = F.relu_(out) 2025-12-04T09:06:07.3131183Z 2025-12-04T09:06:07.3131297Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3131796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3132274Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3132685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3133085Z x = stage(x) 2025-12-04T09:06:07.3133442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:06:07.3133849Z out = self.conv3(out) 2025-12-04T09:06:07.3134201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3134567Z x = F.conv2d( 2025-12-04T09:06:07.3134669Z 2025-12-04T09:06:07.3134784Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3135468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3135946Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3136361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3136770Z x = stage(x) 2025-12-04T09:06:07.3137127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:06:07.3137514Z out = F.relu_(out) 2025-12-04T09:06:07.3137630Z 2025-12-04T09:06:07.3137738Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3138245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3138733Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3139136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3139534Z x = stage(x) 2025-12-04T09:06:07.3139893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:06:07.3140285Z out = self.conv1(x) 2025-12-04T09:06:07.3140641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3141037Z x = F.conv2d( 2025-12-04T09:06:07.3141159Z 2025-12-04T09:06:07.3141277Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3141772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3142255Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3142720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3143105Z x = stage(x) 2025-12-04T09:06:07.3143467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:06:07.3143885Z out = F.relu_(out) 2025-12-04T09:06:07.3143992Z 2025-12-04T09:06:07.3144108Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3144606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3145089Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3145497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3145889Z x = stage(x) 2025-12-04T09:06:07.3146240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:06:07.3146660Z out = self.conv2(out) 2025-12-04T09:06:07.3147019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3147394Z x = F.conv2d( 2025-12-04T09:06:07.3147503Z 2025-12-04T09:06:07.3147613Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3148120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3148588Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3148981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3149366Z x = stage(x) 2025-12-04T09:06:07.3149720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:06:07.3150134Z out = F.relu_(out) 2025-12-04T09:06:07.3150240Z 2025-12-04T09:06:07.3150350Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3150853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3151331Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3151735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3152130Z x = stage(x) 2025-12-04T09:06:07.3152490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:06:07.3152898Z out = self.conv3(out) 2025-12-04T09:06:07.3153246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3153618Z x = F.conv2d( 2025-12-04T09:06:07.3153727Z 2025-12-04T09:06:07.3153836Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3154342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3154816Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3155224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3155627Z x = stage(x) 2025-12-04T09:06:07.3155984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:06:07.3156394Z shortcut = self.shortcut(x) 2025-12-04T09:06:07.3156763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3157136Z x = F.conv2d( 2025-12-04T09:06:07.3157235Z 2025-12-04T09:06:07.3157390Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3157888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3158370Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3158816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3159207Z x = stage(x) 2025-12-04T09:06:07.3159571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:06:07.3159974Z out = self.conv1(x) 2025-12-04T09:06:07.3160323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3160701Z x = F.conv2d( 2025-12-04T09:06:07.3160803Z 2025-12-04T09:06:07.3160910Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3161505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3161988Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3162405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3162807Z x = stage(x) 2025-12-04T09:06:07.3163170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:06:07.3163568Z out = F.relu_(out) 2025-12-04T09:06:07.3163696Z 2025-12-04T09:06:07.3163803Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3164301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3164782Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3165205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3165603Z x = stage(x) 2025-12-04T09:06:07.3165965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:06:07.3166370Z out = self.conv2(out) 2025-12-04T09:06:07.3166735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3167114Z x = F.conv2d( 2025-12-04T09:06:07.3167209Z 2025-12-04T09:06:07.3167326Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3167821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3168304Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3168715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3169098Z x = stage(x) 2025-12-04T09:06:07.3169451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:06:07.3169852Z out = F.relu_(out) 2025-12-04T09:06:07.3169959Z 2025-12-04T09:06:07.3170076Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3170566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3171046Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3171454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3171853Z x = stage(x) 2025-12-04T09:06:07.3172256Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:06:07.3172658Z out = self.conv3(out) 2025-12-04T09:06:07.3173011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3173382Z x = F.conv2d( 2025-12-04T09:06:07.3173506Z 2025-12-04T09:06:07.3173615Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3174115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3174594Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3174994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3175385Z x = stage(x) 2025-12-04T09:06:07.3175740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:06:07.3176165Z out = F.relu_(out) 2025-12-04T09:06:07.3176283Z 2025-12-04T09:06:07.3176396Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3176906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3177404Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3177820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3178220Z x = stage(x) 2025-12-04T09:06:07.3178586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:06:07.3178992Z out = self.conv1(x) 2025-12-04T09:06:07.3179343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3179717Z x = F.conv2d( 2025-12-04T09:06:07.3179822Z 2025-12-04T09:06:07.3179942Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3180446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3180939Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3181360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3181762Z x = stage(x) 2025-12-04T09:06:07.3182122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:06:07.3182525Z out = F.relu_(out) 2025-12-04T09:06:07.3182636Z 2025-12-04T09:06:07.3182758Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3183266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3183763Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3184185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3184584Z x = stage(x) 2025-12-04T09:06:07.3184946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:06:07.3185352Z out = self.conv2(out) 2025-12-04T09:06:07.3185719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3186100Z x = F.conv2d( 2025-12-04T09:06:07.3186201Z 2025-12-04T09:06:07.3186315Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3186829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3187374Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3187775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3188176Z x = stage(x) 2025-12-04T09:06:07.3188531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:06:07.3188977Z out = F.relu_(out) 2025-12-04T09:06:07.3189086Z 2025-12-04T09:06:07.3189196Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3189700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3190179Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3190591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3191004Z x = stage(x) 2025-12-04T09:06:07.3191368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:06:07.3191770Z out = self.conv3(out) 2025-12-04T09:06:07.3192121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3192504Z x = F.conv2d( 2025-12-04T09:06:07.3192601Z 2025-12-04T09:06:07.3192721Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3193231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3193707Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3194124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3194527Z x = stage(x) 2025-12-04T09:06:07.3194885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:06:07.3195282Z out = F.relu_(out) 2025-12-04T09:06:07.3195395Z 2025-12-04T09:06:07.3195504Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3196009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3196485Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3196896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3197339Z x = stage(x) 2025-12-04T09:06:07.3197698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:06:07.3198097Z out = self.conv1(x) 2025-12-04T09:06:07.3198453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3198825Z x = F.conv2d( 2025-12-04T09:06:07.3198921Z 2025-12-04T09:06:07.3199030Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3199535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3200018Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3200426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3200811Z x = stage(x) 2025-12-04T09:06:07.3201248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:06:07.3201658Z out = F.relu_(out) 2025-12-04T09:06:07.3201769Z 2025-12-04T09:06:07.3201881Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3202440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3202929Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3203350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3203958Z x = stage(x) 2025-12-04T09:06:07.3204320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:06:07.3204719Z out = self.conv2(out) 2025-12-04T09:06:07.3205079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3205443Z x = F.conv2d( 2025-12-04T09:06:07.3205551Z 2025-12-04T09:06:07.3205664Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3206176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3206709Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3207120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3207507Z x = stage(x) 2025-12-04T09:06:07.3207867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:06:07.3208251Z out = F.relu_(out) 2025-12-04T09:06:07.3208365Z 2025-12-04T09:06:07.3208475Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3208977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3209459Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3209867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3210260Z x = stage(x) 2025-12-04T09:06:07.3210614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:06:07.3211004Z out = self.conv3(out) 2025-12-04T09:06:07.3211358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3211726Z x = F.conv2d( 2025-12-04T09:06:07.3211823Z 2025-12-04T09:06:07.3211939Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3212432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3212912Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3213321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3213707Z x = stage(x) 2025-12-04T09:06:07.3214061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:06:07.3214531Z out = F.relu_(out) 2025-12-04T09:06:07.3214639Z 2025-12-04T09:06:07.3214755Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3215254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3215732Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3216143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3216537Z x = stage(x) 2025-12-04T09:06:07.3216888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:06:07.3217276Z out = self.conv1(x) 2025-12-04T09:06:07.3217709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3218071Z x = F.conv2d( 2025-12-04T09:06:07.3218175Z 2025-12-04T09:06:07.3218283Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3218784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3219297Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3219701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3220093Z x = stage(x) 2025-12-04T09:06:07.3220453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:06:07.3220843Z out = F.relu_(out) 2025-12-04T09:06:07.3220961Z 2025-12-04T09:06:07.3221100Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3221611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3222098Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3222502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3222900Z x = stage(x) 2025-12-04T09:06:07.3223261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:06:07.3223657Z out = self.conv2(out) 2025-12-04T09:06:07.3224008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3224396Z x = F.conv2d( 2025-12-04T09:06:07.3224493Z 2025-12-04T09:06:07.3224607Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3225107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3225590Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3226001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3226394Z x = stage(x) 2025-12-04T09:06:07.3226745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:06:07.3227136Z out = F.relu_(out) 2025-12-04T09:06:07.3227242Z 2025-12-04T09:06:07.3227355Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3227861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3228337Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3228751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3229138Z x = stage(x) 2025-12-04T09:06:07.3229486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:06:07.3229912Z out = self.conv3(out) 2025-12-04T09:06:07.3230267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3230658Z x = F.conv2d( 2025-12-04T09:06:07.3230756Z 2025-12-04T09:06:07.3230863Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3231371Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3231855Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3232300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3232692Z x = stage(x) 2025-12-04T09:06:07.3233044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:06:07.3233453Z out = F.relu_(out) 2025-12-04T09:06:07.3233581Z 2025-12-04T09:06:07.3233690Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3234191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3234669Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3235078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3235481Z x = stage(x) 2025-12-04T09:06:07.3235833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:06:07.3236251Z out = self.conv1(x) 2025-12-04T09:06:07.3236596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3236992Z x = F.conv2d( 2025-12-04T09:06:07.3237088Z 2025-12-04T09:06:07.3237204Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3237712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3238186Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3238596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3239013Z x = stage(x) 2025-12-04T09:06:07.3239384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:06:07.3239803Z out = F.relu_(out) 2025-12-04T09:06:07.3239921Z 2025-12-04T09:06:07.3240030Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3240545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3241053Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3241549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3241971Z x = stage(x) 2025-12-04T09:06:07.3242354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:06:07.3242777Z out = self.conv2(out) 2025-12-04T09:06:07.3243149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3243553Z x = F.conv2d( 2025-12-04T09:06:07.3243655Z 2025-12-04T09:06:07.3243770Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3244279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3244798Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3245234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3245637Z x = stage(x) 2025-12-04T09:06:07.3245987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:06:07.3246384Z out = F.relu_(out) 2025-12-04T09:06:07.3246488Z 2025-12-04T09:06:07.3246600Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3247085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3247607Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3248016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3248410Z x = stage(x) 2025-12-04T09:06:07.3248777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:06:07.3249205Z out = self.conv3(out) 2025-12-04T09:06:07.3249556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3249923Z x = F.conv2d( 2025-12-04T09:06:07.3250028Z 2025-12-04T09:06:07.3250137Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3250638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3251110Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3251540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3251934Z x = stage(x) 2025-12-04T09:06:07.3252295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:06:07.3252678Z out = F.relu_(out) 2025-12-04T09:06:07.3252789Z 2025-12-04T09:06:07.3252894Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3253377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3253843Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3254230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3254617Z x = stage(x) 2025-12-04T09:06:07.3254966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:06:07.3255340Z out = self.conv1(x) 2025-12-04T09:06:07.3255680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3256038Z x = F.conv2d( 2025-12-04T09:06:07.3256133Z 2025-12-04T09:06:07.3256248Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3256730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3257198Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3257596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3257978Z x = stage(x) 2025-12-04T09:06:07.3258331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:06:07.3258714Z out = F.relu_(out) 2025-12-04T09:06:07.3258818Z 2025-12-04T09:06:07.3258931Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3259410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3259878Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3260273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3260663Z x = stage(x) 2025-12-04T09:06:07.3261001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:06:07.3261384Z out = self.conv2(out) 2025-12-04T09:06:07.3261728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3262129Z x = F.conv2d( 2025-12-04T09:06:07.3262232Z 2025-12-04T09:06:07.3262338Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3262827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3263318Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3263702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3264082Z x = stage(x) 2025-12-04T09:06:07.3264426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:06:07.3264806Z out = F.relu_(out) 2025-12-04T09:06:07.3264909Z 2025-12-04T09:06:07.3265018Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3265520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3266022Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3266426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3266822Z x = stage(x) 2025-12-04T09:06:07.3267180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:06:07.3267573Z out = self.conv3(out) 2025-12-04T09:06:07.3267921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3268289Z x = F.conv2d( 2025-12-04T09:06:07.3268385Z 2025-12-04T09:06:07.3268505Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3269005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3269484Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3269892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3270280Z x = stage(x) 2025-12-04T09:06:07.3270629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:06:07.3271041Z shortcut = self.shortcut(x) 2025-12-04T09:06:07.3271408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3271775Z x = F.conv2d( 2025-12-04T09:06:07.3271872Z 2025-12-04T09:06:07.3271981Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3272487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3272971Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3273375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3273781Z x = stage(x) 2025-12-04T09:06:07.3274140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:06:07.3274550Z out = self.conv1(x) 2025-12-04T09:06:07.3274894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3275266Z x = F.conv2d( 2025-12-04T09:06:07.3275363Z 2025-12-04T09:06:07.3275482Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3275976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3276463Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3276933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3277330Z x = stage(x) 2025-12-04T09:06:07.3277684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:06:07.3278110Z out = F.relu_(out) 2025-12-04T09:06:07.3278217Z 2025-12-04T09:06:07.3278335Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3278833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3279305Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3279717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3280123Z x = stage(x) 2025-12-04T09:06:07.3280479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:06:07.3280907Z out = self.conv2(out) 2025-12-04T09:06:07.3281351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3281727Z x = F.conv2d( 2025-12-04T09:06:07.3281827Z 2025-12-04T09:06:07.3281937Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3282446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3282931Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3283341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3283737Z x = stage(x) 2025-12-04T09:06:07.3284113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:06:07.3284523Z out = F.relu_(out) 2025-12-04T09:06:07.3284632Z 2025-12-04T09:06:07.3284738Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3285243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3285727Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3286134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3286529Z x = stage(x) 2025-12-04T09:06:07.3286884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:06:07.3287292Z out = self.conv3(out) 2025-12-04T09:06:07.3287645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3288026Z x = F.conv2d( 2025-12-04T09:06:07.3288132Z 2025-12-04T09:06:07.3288239Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3288741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3289219Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3289625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3290021Z x = stage(x) 2025-12-04T09:06:07.3290384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:06:07.3290780Z out = F.relu_(out) 2025-12-04T09:06:07.3290893Z 2025-12-04T09:06:07.3291001Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3291557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3292031Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3292441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3292841Z x = stage(x) 2025-12-04T09:06:07.3293217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:06:07.3293620Z out = self.conv1(x) 2025-12-04T09:06:07.3293972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3294352Z x = F.conv2d( 2025-12-04T09:06:07.3294448Z 2025-12-04T09:06:07.3294558Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3295072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3295576Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3295980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3296373Z x = stage(x) 2025-12-04T09:06:07.3296727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:06:07.3297121Z out = F.relu_(out) 2025-12-04T09:06:07.3297227Z 2025-12-04T09:06:07.3297344Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3297839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3298329Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3298732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3299121Z x = stage(x) 2025-12-04T09:06:07.3299485Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:06:07.3299881Z out = self.conv2(out) 2025-12-04T09:06:07.3300232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3300603Z x = F.conv2d( 2025-12-04T09:06:07.3300706Z 2025-12-04T09:06:07.3300815Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3301315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3301797Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3302198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3302588Z x = stage(x) 2025-12-04T09:06:07.3302951Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:06:07.3303334Z out = F.relu_(out) 2025-12-04T09:06:07.3303632Z 2025-12-04T09:06:07.3303744Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3304249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3304732Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3305130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3305514Z x = stage(x) 2025-12-04T09:06:07.3305870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:06:07.3306261Z out = self.conv3(out) 2025-12-04T09:06:07.3306710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:06:07.3307082Z x = F.conv2d( 2025-12-04T09:06:07.3307178Z 2025-12-04T09:06:07.3307296Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:07.3307792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:06:07.3308309Z features = self.backbone(images.tensor) 2025-12-04T09:06:07.3308725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:06:07.3309113Z x = stage(x) 2025-12-04T09:06:07.3309462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:06:07.3309855Z out = F.relu_(out) 2025-12-04T09:06:07.3309963Z 2025-12-04T09:06:20.9732981Z cudagraph partition due to non gpu ops 2025-12-04T09:06:20.9733630Z cudagraph partition due to non gpu ops 2025-12-04T09:06:20.9733882Z cudagraph partition due to non gpu ops 2025-12-04T09:06:20.9734113Z cudagraph partition due to non gpu ops 2025-12-04T09:06:20.9734404Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:20.9735030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 97, in convert_boxes_to_pooler_format 2025-12-04T09:06:20.9735609Z sizes = shapes_to_tensor([x.__len__() for x in box_lists]) 2025-12-04T09:06:20.9736074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:06:20.9736504Z return torch.as_tensor(x, device=device) 2025-12-04T09:06:20.9736671Z 2025-12-04T09:06:20.9736786Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:20.9737260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/poolers.py", line 95, in convert_boxes_to_pooler_format 2025-12-04T09:06:20.9737745Z boxes = torch.cat([x.tensor for x in box_lists], dim=0) 2025-12-04T09:06:20.9737916Z 2025-12-04T09:06:21.7086691Z cudagraph partition due to non gpu ops 2025-12-04T09:06:21.7087051Z cudagraph partition due to non gpu ops 2025-12-04T09:06:21.7087334Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:21.7087986Z 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 2025-12-04T09:06:21.7088536Z return cat([indices[:, None], boxes], dim=1) 2025-12-04T09:06:21.7088954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:06:21.7089350Z return torch.cat(tensors, dim) 2025-12-04T09:06:21.7089498Z 2025-12-04T09:06:22.3113220Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:22.3114101Z 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 2025-12-04T09:06:22.3114771Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T09:06:22.3115346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:06:22.3115868Z return roi_align( 2025-12-04T09:06:22.3116371Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:06:22.3116780Z return torch.ops.torchvision.roi_align( 2025-12-04T09:06:22.3119166Z 2025-12-04T09:06:22.3119310Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:22.3119841Z 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 2025-12-04T09:06:22.3120385Z return self.level_poolers[0](x[0], pooler_fmt_boxes) 2025-12-04T09:06:22.3121380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:06:22.3121795Z return roi_align( 2025-12-04T09:06:22.3122158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:06:22.3122578Z return torch.ops.torchvision.roi_align( 2025-12-04T09:06:22.3122835Z 2025-12-04T09:06:26.4718441Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:26.4719107Z 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 2025-12-04T09:06:26.4719650Z box_features = self.box_head(box_features) 2025-12-04T09:06:26.4720086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T09:06:26.4720476Z x = layer(x) 2025-12-04T09:06:26.4720587Z 2025-12-04T09:06:26.4720707Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:26.4721707Z 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 2025-12-04T09:06:26.4722218Z box_features = self.box_head(box_features) 2025-12-04T09:06:26.4722680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T09:06:26.4723072Z x = layer(x) 2025-12-04T09:06:26.4723166Z 2025-12-04T09:06:26.4723280Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:26.4723760Z 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 2025-12-04T09:06:26.4724224Z box_features = self.box_head(box_features) 2025-12-04T09:06:26.4724615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T09:06:26.4724987Z x = layer(x) 2025-12-04T09:06:26.4725079Z 2025-12-04T09:06:26.4725181Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:26.4725661Z 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 2025-12-04T09:06:26.4726127Z box_features = self.box_head(box_features) 2025-12-04T09:06:26.4726517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/box_head.py", line 96, in forward 2025-12-04T09:06:26.4726877Z x = layer(x) 2025-12-04T09:06:26.4726971Z 2025-12-04T09:06:26.4727072Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:26.4727594Z 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 2025-12-04T09:06:26.4728064Z predictions = self.box_predictor(box_features) 2025-12-04T09:06:26.4728464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 303, in forward 2025-12-04T09:06:26.4728954Z scores = self.cls_score(x) 2025-12-04T09:06:26.4729073Z 2025-12-04T09:06:26.4729178Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:26.4729647Z 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 2025-12-04T09:06:26.4730122Z predictions = self.box_predictor(box_features) 2025-12-04T09:06:26.4730524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 304, in forward 2025-12-04T09:06:26.4730918Z proposal_deltas = self.bbox_pred(x) 2025-12-04T09:06:26.4731052Z 2025-12-04T09:06:29.8810681Z cudagraph partition due to non gpu ops 2025-12-04T09:06:29.8811158Z cudagraph partition due to non gpu ops 2025-12-04T09:06:29.8811422Z cudagraph partition due to non gpu ops 2025-12-04T09:06:29.8812092Z cudagraph partition due to non gpu ops 2025-12-04T09:06:29.8812394Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:29.8812915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T09:06:29.8813399Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T09:06:29.8813931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 542, in predict_boxes 2025-12-04T09:06:29.8814451Z proposal_boxes = cat([p.proposal_boxes.tensor for p in proposals], dim=0) 2025-12-04T09:06:29.8814896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 72, in cat 2025-12-04T09:06:29.8815282Z return torch.cat(tensors, dim) 2025-12-04T09:06:29.8815423Z 2025-12-04T09:06:29.8815543Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:29.8815994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 476, in inference 2025-12-04T09:06:29.8816515Z boxes = self.predict_boxes(predictions, proposals) 2025-12-04T09:06:29.8817028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py", line 543, in predict_boxes 2025-12-04T09:06:29.8817490Z predict_boxes = self.box2box_transform.apply_deltas( 2025-12-04T09:06:29.8817926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 115, in apply_deltas 2025-12-04T09:06:29.8818358Z pred_boxes = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:06:29.8818523Z 2025-12-04T09:06:32.3995436Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:32.3996071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 99, in _batched_nms_coordinate_trick 2025-12-04T09:06:32.3996526Z max_coordinate = boxes.max() 2025-12-04T09:06:32.3996719Z 2025-12-04T09:06:32.3996847Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:32.3997355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 101, in _batched_nms_coordinate_trick 2025-12-04T09:06:32.3997805Z boxes_for_nms = boxes + offsets[:, None] 2025-12-04T09:06:32.3997963Z 2025-12-04T09:06:33.1612220Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:33.1613129Z 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 2025-12-04T09:06:33.1613758Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:06:33.1613984Z 2025-12-04T09:06:33.1614106Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:33.1614710Z 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 2025-12-04T09:06:33.1615306Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:06:33.1615509Z 2025-12-04T09:06:33.1615628Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:33.1616176Z 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 2025-12-04T09:06:33.1616769Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:06:33.1616980Z 2025-12-04T09:06:38.7163109Z cudagraph partition due to non gpu ops 2025-12-04T09:06:38.7163472Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:38.7164033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:06:38.7164557Z output_boxes.clip(results.image_size) 2025-12-04T09:06:38.7165407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:06:38.7165922Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:06:38.7166171Z 2025-12-04T09:06:38.7166274Z cudagraph partition due to non gpu ops 2025-12-04T09:06:38.7166604Z cudagraph partition due to non gpu ops 2025-12-04T09:06:38.7166875Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:38.7167386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:06:38.7167858Z output_boxes.clip(results.image_size) 2025-12-04T09:06:38.7168250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:06:38.7168677Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:06:38.7168841Z 2025-12-04T09:06:38.7169016Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:06:38.7169529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:06:38.7169989Z results = results[output_boxes.nonempty()] 2025-12-04T09:06:38.7170384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T09:06:38.7170803Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T09:06:38.7170974Z 2025-12-04T09:06:55.7732171Z Compilation time (from dynamo_timed): 44.529770627 2025-12-04T09:06:55.7732506Z pass 2025-12-04T09:06:55.7732808Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:06:55.7733699Z TIMING: gc:0.05074 entire_frame_compile:44.52977 _recursive_pre_grad_passes:0.02949 _recursive_joint_graph_passes:0.29129 async_compile.wait:4.62338 inductor_compile:18.65329 backend_compile:27.20425 _recursive_post_grad_passes:0.13176 code_gen:8.6079 total_wall_time:44.52977 2025-12-04T09:06:55.7734925Z STATS: call_* op count: 610 | FakeTensorMode.__torch_dispatch__:15027 | FakeTensor.__torch_dispatch__:6456 | ProxyTorchDispatchMode.__torch_dispatch__:4146 | attempt fast:67 | slow no contiguity match:32 | fast is_contiguous:35 2025-12-04T09:06:55.7735622Z Dynamo produced 52 graphs covering 610 ops with 42 graph breaks (6 unique) 2025-12-04T09:06:59.0007777Z /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. 2025-12-04T09:06:59.0008663Z import pynvml # type: ignore[import] 2025-12-04T09:07:01.2582818Z 2025-12-04T09:07:10.7984647Z loading model: 0it [00:00, ?it/s]W1204 09:07:10.797000 7389 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. 2025-12-04T09:07:12.1852850Z 2025-12-04T09:07:12.1853507Z loading model: 0it [00:10, ?it/s] 2025-12-04T09:07:12.1867263Z cpu eval detectron2_fasterrcnn_r_50_fpn 2025-12-04T09:07:29.1845328Z WARNING:common:fp64 golden ref were not generated for detectron2_fasterrcnn_r_50_fpn. Setting accuracy check to cosine 2025-12-04T09:07:29.2070830Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:07:44.9354434Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:08:00.6674937Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:08:22.2438702Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2439029Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2439795Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2440034Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2440270Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2440515Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2440756Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2441068Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2441596Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2441837Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2442067Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2442300Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2442512Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2442735Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2442961Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2443177Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2443392Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2443684Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2443891Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2444102Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2444317Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2444522Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2444800Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2445368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2445870Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2446284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2446700Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2447129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:08:22.2447675Z x = self.stem(x) 2025-12-04T09:08:22.2448155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward 2025-12-04T09:08:22.2448580Z x = self.conv1(x) 2025-12-04T09:08:22.2448929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2449298Z x = F.conv2d( 2025-12-04T09:08:22.2449410Z 2025-12-04T09:08:22.2449523Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2450029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2450508Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2450909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2451323Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2451722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:08:22.2452161Z x = self.stem(x) 2025-12-04T09:08:22.2452527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward 2025-12-04T09:08:22.2452914Z x = F.relu_(x) 2025-12-04T09:08:22.2453013Z 2025-12-04T09:08:22.2453213Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2453698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2454168Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2454561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2454967Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2455425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:08:22.2455823Z x = self.stem(x) 2025-12-04T09:08:22.2456186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward 2025-12-04T09:08:22.2456632Z x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1) 2025-12-04T09:08:22.2456813Z 2025-12-04T09:08:22.2456928Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2457425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2457902Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2458295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2458727Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2459132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2459515Z x = stage(x) 2025-12-04T09:08:22.2459868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:22.2460262Z out = self.conv1(x) 2025-12-04T09:08:22.2460612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2460972Z x = F.conv2d( 2025-12-04T09:08:22.2461075Z 2025-12-04T09:08:22.2461182Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2461677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2462144Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2462535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2462938Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2463335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2463716Z x = stage(x) 2025-12-04T09:08:22.2464070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:22.2464458Z out = F.relu_(out) 2025-12-04T09:08:22.2464567Z 2025-12-04T09:08:22.2464681Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2465164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2465633Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2466028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2466419Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2466804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2467196Z x = stage(x) 2025-12-04T09:08:22.2467550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:22.2467937Z out = self.conv2(out) 2025-12-04T09:08:22.2468280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2468640Z x = F.conv2d( 2025-12-04T09:08:22.2468735Z 2025-12-04T09:08:22.2468850Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2469332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2469850Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2470245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2470640Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2471054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2471502Z x = stage(x) 2025-12-04T09:08:22.2471856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:22.2472233Z out = F.relu_(out) 2025-12-04T09:08:22.2472345Z 2025-12-04T09:08:22.2472452Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2472939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2473442Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2473824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2474216Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2474611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2474987Z x = stage(x) 2025-12-04T09:08:22.2475327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:22.2475712Z out = self.conv3(out) 2025-12-04T09:08:22.2476057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2476407Z x = F.conv2d( 2025-12-04T09:08:22.2476510Z 2025-12-04T09:08:22.2476616Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2477110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2477575Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2477962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2478357Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2478752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2479129Z x = stage(x) 2025-12-04T09:08:22.2479466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:08:22.2479861Z shortcut = self.shortcut(x) 2025-12-04T09:08:22.2480220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2480580Z x = F.conv2d( 2025-12-04T09:08:22.2480683Z 2025-12-04T09:08:22.2480792Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2481393Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2481890Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2482292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2482739Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2483177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2483561Z x = stage(x) 2025-12-04T09:08:22.2483938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:22.2484330Z out = self.conv1(x) 2025-12-04T09:08:22.2484767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2485133Z x = F.conv2d( 2025-12-04T09:08:22.2485245Z 2025-12-04T09:08:22.2485358Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2485868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2486381Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2486788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2487201Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2487616Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2488002Z x = stage(x) 2025-12-04T09:08:22.2488369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:22.2488782Z out = F.relu_(out) 2025-12-04T09:08:22.2488892Z 2025-12-04T09:08:22.2489010Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2489507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2489990Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2490390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2490791Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2491187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2491572Z x = stage(x) 2025-12-04T09:08:22.2491929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:22.2492321Z out = self.conv2(out) 2025-12-04T09:08:22.2492678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2493045Z x = F.conv2d( 2025-12-04T09:08:22.2493145Z 2025-12-04T09:08:22.2493261Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2493759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2494237Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2494638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2495033Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2495448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2495842Z x = stage(x) 2025-12-04T09:08:22.2496201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:22.2496584Z out = F.relu_(out) 2025-12-04T09:08:22.2496702Z 2025-12-04T09:08:22.2496817Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2497324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2497831Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2498265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2498657Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2499059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2499485Z x = stage(x) 2025-12-04T09:08:22.2499849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:22.2500248Z out = self.conv3(out) 2025-12-04T09:08:22.2500604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2500997Z x = F.conv2d( 2025-12-04T09:08:22.2501102Z 2025-12-04T09:08:22.2501212Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2501713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2502186Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2502591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2502998Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2503680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2504078Z x = stage(x) 2025-12-04T09:08:22.2504445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:08:22.2504850Z out = F.relu_(out) 2025-12-04T09:08:22.2504958Z 2025-12-04T09:08:22.2505074Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2505556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2506023Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2506417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2506802Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2507202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2507581Z x = stage(x) 2025-12-04T09:08:22.2507928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:22.2508303Z out = self.conv1(x) 2025-12-04T09:08:22.2508647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2509017Z x = F.conv2d( 2025-12-04T09:08:22.2509112Z 2025-12-04T09:08:22.2509220Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2509709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2510179Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2510572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2510958Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2511353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2511741Z x = stage(x) 2025-12-04T09:08:22.2512086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:22.2512471Z out = F.relu_(out) 2025-12-04T09:08:22.2512582Z 2025-12-04T09:08:22.2512686Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2513170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2513632Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2514141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2514544Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2514944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2515335Z x = stage(x) 2025-12-04T09:08:22.2515719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:22.2516108Z out = self.conv2(out) 2025-12-04T09:08:22.2516445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2516806Z x = F.conv2d( 2025-12-04T09:08:22.2516907Z 2025-12-04T09:08:22.2517012Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2517500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2518000Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2518396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2518792Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2519187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2519559Z x = stage(x) 2025-12-04T09:08:22.2519905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:22.2520290Z out = F.relu_(out) 2025-12-04T09:08:22.2520394Z 2025-12-04T09:08:22.2520500Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2520989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2521528Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2521940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2522341Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2522750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2523141Z x = stage(x) 2025-12-04T09:08:22.2523500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:22.2523892Z out = self.conv3(out) 2025-12-04T09:08:22.2524252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2524624Z x = F.conv2d( 2025-12-04T09:08:22.2524721Z 2025-12-04T09:08:22.2524834Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2525345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2525829Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2526232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2526639Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2527048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2527451Z x = stage(x) 2025-12-04T09:08:22.2527801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:08:22.2528196Z out = F.relu_(out) 2025-12-04T09:08:22.2528311Z 2025-12-04T09:08:22.2528419Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2528983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2529460Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2529862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2530266Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2530694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2531089Z x = stage(x) 2025-12-04T09:08:22.2531445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:22.2531847Z out = self.conv1(x) 2025-12-04T09:08:22.2532189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2532566Z x = F.conv2d( 2025-12-04T09:08:22.2532672Z 2025-12-04T09:08:22.2532824Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2533328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2533807Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2534216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2534623Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2535035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2535419Z x = stage(x) 2025-12-04T09:08:22.2535776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:22.2536167Z out = F.relu_(out) 2025-12-04T09:08:22.2536275Z 2025-12-04T09:08:22.2536387Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2536901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2537367Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2537763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2538163Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2538570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2538960Z x = stage(x) 2025-12-04T09:08:22.2539306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:22.2539706Z out = self.conv2(out) 2025-12-04T09:08:22.2540059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2540431Z x = F.conv2d( 2025-12-04T09:08:22.2540524Z 2025-12-04T09:08:22.2540632Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2541124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2541593Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2541994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2542442Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2542883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2543276Z x = stage(x) 2025-12-04T09:08:22.2543626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:22.2544062Z out = F.relu_(out) 2025-12-04T09:08:22.2544176Z 2025-12-04T09:08:22.2544283Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2544771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2545254Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2545658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2546066Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2546454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2546847Z x = stage(x) 2025-12-04T09:08:22.2547196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:22.2547607Z out = self.conv3(out) 2025-12-04T09:08:22.2547949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2548309Z x = F.conv2d( 2025-12-04T09:08:22.2548402Z 2025-12-04T09:08:22.2548517Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2549005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2549462Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2549848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2550251Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2550635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2551026Z x = stage(x) 2025-12-04T09:08:22.2551378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:08:22.2551768Z shortcut = self.shortcut(x) 2025-12-04T09:08:22.2552122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2552467Z x = F.conv2d( 2025-12-04T09:08:22.2552556Z 2025-12-04T09:08:22.2552666Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2553123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2553567Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2553940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2554314Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2554704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2555082Z x = stage(x) 2025-12-04T09:08:22.2555431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:22.2555822Z out = self.conv1(x) 2025-12-04T09:08:22.2556160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2556522Z x = F.conv2d( 2025-12-04T09:08:22.2556616Z 2025-12-04T09:08:22.2556745Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2557222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2557692Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2558130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2558524Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2558912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2559290Z x = stage(x) 2025-12-04T09:08:22.2559633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:22.2560063Z out = F.relu_(out) 2025-12-04T09:08:22.2560176Z 2025-12-04T09:08:22.2560283Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2560781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2561362Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2561770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2562210Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2562624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2563018Z x = stage(x) 2025-12-04T09:08:22.2563367Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:22.2563767Z out = self.conv2(out) 2025-12-04T09:08:22.2564126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2564477Z x = F.conv2d( 2025-12-04T09:08:22.2564576Z 2025-12-04T09:08:22.2564683Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2565174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2565650Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2566047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2566455Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2566849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2567229Z x = stage(x) 2025-12-04T09:08:22.2567568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:22.2567955Z out = F.relu_(out) 2025-12-04T09:08:22.2568057Z 2025-12-04T09:08:22.2568171Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2568655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2569126Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2569523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2569919Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2570306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2570688Z x = stage(x) 2025-12-04T09:08:22.2571037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:22.2571429Z out = self.conv3(out) 2025-12-04T09:08:22.2571779Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2572145Z x = F.conv2d( 2025-12-04T09:08:22.2572238Z 2025-12-04T09:08:22.2572351Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2572885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2573370Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2573771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2574182Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2574592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2574985Z x = stage(x) 2025-12-04T09:08:22.2575341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:08:22.2575734Z out = F.relu_(out) 2025-12-04T09:08:22.2575852Z 2025-12-04T09:08:22.2575960Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2576466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2576958Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2577339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2577735Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2578135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2578528Z x = stage(x) 2025-12-04T09:08:22.2578889Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:22.2579278Z out = self.conv1(x) 2025-12-04T09:08:22.2579617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2579962Z x = F.conv2d( 2025-12-04T09:08:22.2580065Z 2025-12-04T09:08:22.2580171Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2580666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2581135Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2581518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2581914Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2582308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2582680Z x = stage(x) 2025-12-04T09:08:22.2583024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:22.2583404Z out = F.relu_(out) 2025-12-04T09:08:22.2583506Z 2025-12-04T09:08:22.2583618Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2584101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2584568Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2584961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2585352Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2585735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2586111Z x = stage(x) 2025-12-04T09:08:22.2586456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:22.2586836Z out = self.conv2(out) 2025-12-04T09:08:22.2587183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2587579Z x = F.conv2d( 2025-12-04T09:08:22.2587674Z 2025-12-04T09:08:22.2587791Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2588270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2588779Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2589171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2589559Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2589957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2590347Z x = stage(x) 2025-12-04T09:08:22.2590698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:22.2591083Z out = F.relu_(out) 2025-12-04T09:08:22.2591224Z 2025-12-04T09:08:22.2591329Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2591820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2592291Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2592677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2593066Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2593461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2593843Z x = stage(x) 2025-12-04T09:08:22.2594189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:22.2594580Z out = self.conv3(out) 2025-12-04T09:08:22.2594927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2595275Z x = F.conv2d( 2025-12-04T09:08:22.2595374Z 2025-12-04T09:08:22.2595481Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2595969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2596444Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2596827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2597225Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2597618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2597997Z x = stage(x) 2025-12-04T09:08:22.2598345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:08:22.2598736Z out = F.relu_(out) 2025-12-04T09:08:22.2598837Z 2025-12-04T09:08:22.2599115Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2599594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2600062Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2600467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2600884Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2601388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2601791Z x = stage(x) 2025-12-04T09:08:22.2602199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:22.2602605Z out = self.conv1(x) 2025-12-04T09:08:22.2602962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2603342Z x = F.conv2d( 2025-12-04T09:08:22.2603596Z 2025-12-04T09:08:22.2603790Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2604295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2604788Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2605201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2605611Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2606031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2606475Z x = stage(x) 2025-12-04T09:08:22.2606839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:22.2607239Z out = F.relu_(out) 2025-12-04T09:08:22.2607354Z 2025-12-04T09:08:22.2607463Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2607970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2608456Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2608866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2609281Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2609692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2610084Z x = stage(x) 2025-12-04T09:08:22.2610449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:22.2610862Z out = self.conv2(out) 2025-12-04T09:08:22.2611222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2611599Z x = F.conv2d( 2025-12-04T09:08:22.2611704Z 2025-12-04T09:08:22.2611813Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2612321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2612802Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2613210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2613621Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2614038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2614425Z x = stage(x) 2025-12-04T09:08:22.2614788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:22.2615196Z out = F.relu_(out) 2025-12-04T09:08:22.2615303Z 2025-12-04T09:08:22.2615420Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2615921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2616424Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2616825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2617226Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2617693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2618080Z x = stage(x) 2025-12-04T09:08:22.2618430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:22.2618844Z out = self.conv3(out) 2025-12-04T09:08:22.2619197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2619560Z x = F.conv2d( 2025-12-04T09:08:22.2619657Z 2025-12-04T09:08:22.2619766Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2620259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2620733Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2621135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2621549Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2621950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2622332Z x = stage(x) 2025-12-04T09:08:22.2622689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:08:22.2623066Z out = F.relu_(out) 2025-12-04T09:08:22.2623176Z 2025-12-04T09:08:22.2623283Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2623768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2624230Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2624621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2625021Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2625416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2625789Z x = stage(x) 2025-12-04T09:08:22.2626142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:22.2626528Z out = self.conv1(x) 2025-12-04T09:08:22.2626865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2627223Z x = F.conv2d( 2025-12-04T09:08:22.2627324Z 2025-12-04T09:08:22.2627432Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2627927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2628396Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2628792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2629187Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2629587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2629962Z x = stage(x) 2025-12-04T09:08:22.2630329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:22.2630709Z out = F.relu_(out) 2025-12-04T09:08:22.2630813Z 2025-12-04T09:08:22.2630921Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2631409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2631878Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2632312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2632703Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2633111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2633523Z x = stage(x) 2025-12-04T09:08:22.2633869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:22.2634257Z out = self.conv2(out) 2025-12-04T09:08:22.2634604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2634973Z x = F.conv2d( 2025-12-04T09:08:22.2635067Z 2025-12-04T09:08:22.2635174Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2635673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2636182Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2636579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2636992Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2637398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2637803Z x = stage(x) 2025-12-04T09:08:22.2638155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:22.2638557Z out = F.relu_(out) 2025-12-04T09:08:22.2638672Z 2025-12-04T09:08:22.2638782Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2639292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2639771Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2640177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2640582Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2640990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2641458Z x = stage(x) 2025-12-04T09:08:22.2641818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:22.2642221Z out = self.conv3(out) 2025-12-04T09:08:22.2642568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2642939Z x = F.conv2d( 2025-12-04T09:08:22.2643045Z 2025-12-04T09:08:22.2643162Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2643671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2644147Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2644555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2644964Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2645374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2645756Z x = stage(x) 2025-12-04T09:08:22.2646119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:08:22.2646517Z shortcut = self.shortcut(x) 2025-12-04T09:08:22.2646953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2647325Z x = F.conv2d( 2025-12-04T09:08:22.2647423Z 2025-12-04T09:08:22.2647545Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2648052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2648558Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2648965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2649372Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2649770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2650163Z x = stage(x) 2025-12-04T09:08:22.2650524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:22.2650948Z out = self.conv1(x) 2025-12-04T09:08:22.2651293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2651660Z x = F.conv2d( 2025-12-04T09:08:22.2651756Z 2025-12-04T09:08:22.2651872Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2652369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2652836Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2653226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2653633Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2654019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2654405Z x = stage(x) 2025-12-04T09:08:22.2654755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:22.2655132Z out = F.relu_(out) 2025-12-04T09:08:22.2655234Z 2025-12-04T09:08:22.2655339Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2655830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2656298Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2656687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2657087Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2657483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2657869Z x = stage(x) 2025-12-04T09:08:22.2658213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:22.2658602Z out = self.conv2(out) 2025-12-04T09:08:22.2658948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2659321Z x = F.conv2d( 2025-12-04T09:08:22.2659413Z 2025-12-04T09:08:22.2659519Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2660009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2660483Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2660867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2661262Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2661716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2662107Z x = stage(x) 2025-12-04T09:08:22.2662457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:22.2662839Z out = F.relu_(out) 2025-12-04T09:08:22.2662966Z 2025-12-04T09:08:22.2663081Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2663556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2664024Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2664429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2664830Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2665231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2665641Z x = stage(x) 2025-12-04T09:08:22.2666000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:22.2666397Z out = self.conv3(out) 2025-12-04T09:08:22.2666743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2667139Z x = F.conv2d( 2025-12-04T09:08:22.2667234Z 2025-12-04T09:08:22.2667349Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2667833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2668305Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2668707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2669116Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2669515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2669911Z x = stage(x) 2025-12-04T09:08:22.2670259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:08:22.2670648Z out = F.relu_(out) 2025-12-04T09:08:22.2670762Z 2025-12-04T09:08:22.2670868Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2671361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2671830Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2672219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2672624Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2673020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2673410Z x = stage(x) 2025-12-04T09:08:22.2673751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:22.2674137Z out = self.conv1(x) 2025-12-04T09:08:22.2674477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2674833Z x = F.conv2d( 2025-12-04T09:08:22.2674936Z 2025-12-04T09:08:22.2675041Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2675533Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2676001Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2676442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2676836Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2677234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2677633Z x = stage(x) 2025-12-04T09:08:22.2677972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:22.2678369Z out = F.relu_(out) 2025-12-04T09:08:22.2678477Z 2025-12-04T09:08:22.2678593Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2679091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2679571Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2680003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2680413Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2680813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2681303Z x = stage(x) 2025-12-04T09:08:22.2681672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:22.2682067Z out = self.conv2(out) 2025-12-04T09:08:22.2682425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2682795Z x = F.conv2d( 2025-12-04T09:08:22.2682894Z 2025-12-04T09:08:22.2683013Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2683516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2684008Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2684420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2684833Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2685240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2685630Z x = stage(x) 2025-12-04T09:08:22.2685985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:22.2686368Z out = F.relu_(out) 2025-12-04T09:08:22.2686484Z 2025-12-04T09:08:22.2686594Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2687101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2687592Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2687990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2688397Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2688804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2689197Z x = stage(x) 2025-12-04T09:08:22.2689548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:22.2689947Z out = self.conv3(out) 2025-12-04T09:08:22.2690302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2690663Z x = F.conv2d( 2025-12-04T09:08:22.2690767Z 2025-12-04T09:08:22.2690875Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2691440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2691926Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2692325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2692759Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2693171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2693567Z x = stage(x) 2025-12-04T09:08:22.2693935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:08:22.2694334Z out = F.relu_(out) 2025-12-04T09:08:22.2694432Z 2025-12-04T09:08:22.2694539Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2695032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2695505Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2695905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2696316Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2696713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2697104Z x = stage(x) 2025-12-04T09:08:22.2697461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:22.2697854Z out = self.conv1(x) 2025-12-04T09:08:22.2698205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2698569Z x = F.conv2d( 2025-12-04T09:08:22.2698671Z 2025-12-04T09:08:22.2698787Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2699279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2699757Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2700164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2700558Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2700960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2701351Z x = stage(x) 2025-12-04T09:08:22.2701708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:22.2702090Z out = F.relu_(out) 2025-12-04T09:08:22.2702209Z 2025-12-04T09:08:22.2702321Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2702820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2703295Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2703870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2704271Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2704676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2705055Z x = stage(x) 2025-12-04T09:08:22.2705404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:22.2705775Z out = self.conv2(out) 2025-12-04T09:08:22.2706227Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2706567Z x = F.conv2d( 2025-12-04T09:08:22.2706667Z 2025-12-04T09:08:22.2706769Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2707237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2707718Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2708094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2708492Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2708890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2709261Z x = stage(x) 2025-12-04T09:08:22.2709618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:22.2710037Z out = F.relu_(out) 2025-12-04T09:08:22.2710141Z 2025-12-04T09:08:22.2710254Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2710738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2711209Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2711585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2711968Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2712366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2712752Z x = stage(x) 2025-12-04T09:08:22.2713104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:22.2713491Z out = self.conv3(out) 2025-12-04T09:08:22.2713837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2714196Z x = F.conv2d( 2025-12-04T09:08:22.2714290Z 2025-12-04T09:08:22.2714402Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2714890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2715363Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2715759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2716161Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2716563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2716962Z x = stage(x) 2025-12-04T09:08:22.2717316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:08:22.2717706Z out = F.relu_(out) 2025-12-04T09:08:22.2717818Z 2025-12-04T09:08:22.2717924Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2718422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2718887Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2719285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2719686Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2720085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2720460Z x = stage(x) 2025-12-04T09:08:22.2720860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:22.2721313Z out = self.conv1(x) 2025-12-04T09:08:22.2721665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2722057Z x = F.conv2d( 2025-12-04T09:08:22.2722164Z 2025-12-04T09:08:22.2722272Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2722778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2723253Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2723674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2724095Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2724541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2724936Z x = stage(x) 2025-12-04T09:08:22.2725310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:22.2725732Z out = F.relu_(out) 2025-12-04T09:08:22.2725838Z 2025-12-04T09:08:22.2725943Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2726437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2726908Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2727309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2727706Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2728118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2728511Z x = stage(x) 2025-12-04T09:08:22.2728872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:22.2729262Z out = self.conv2(out) 2025-12-04T09:08:22.2729610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2729978Z x = F.conv2d( 2025-12-04T09:08:22.2730072Z 2025-12-04T09:08:22.2730179Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2730669Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2731138Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2731547Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2731965Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2732383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2732786Z x = stage(x) 2025-12-04T09:08:22.2733137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:22.2733532Z out = F.relu_(out) 2025-12-04T09:08:22.2733646Z 2025-12-04T09:08:22.2733757Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2734264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2734745Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2735151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2735606Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2736017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2736409Z x = stage(x) 2025-12-04T09:08:22.2736772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:22.2737210Z out = self.conv3(out) 2025-12-04T09:08:22.2737561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2737944Z x = F.conv2d( 2025-12-04T09:08:22.2738051Z 2025-12-04T09:08:22.2738163Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2738668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2739142Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2739573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2739974Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2740377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2740766Z x = stage(x) 2025-12-04T09:08:22.2741121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:08:22.2741514Z out = F.relu_(out) 2025-12-04T09:08:22.2741620Z 2025-12-04T09:08:22.2741729Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2742229Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2742708Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2743115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2743509Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2743914Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2744304Z x = stage(x) 2025-12-04T09:08:22.2744650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:22.2745044Z out = self.conv1(x) 2025-12-04T09:08:22.2745394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2745759Z x = F.conv2d( 2025-12-04T09:08:22.2745855Z 2025-12-04T09:08:22.2745967Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2746476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2746956Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2747358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2747756Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2748163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2748549Z x = stage(x) 2025-12-04T09:08:22.2748897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:22.2749296Z out = F.relu_(out) 2025-12-04T09:08:22.2749406Z 2025-12-04T09:08:22.2749519Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2750047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2750511Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2750904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2751293Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2751704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2752071Z x = stage(x) 2025-12-04T09:08:22.2752417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:22.2752798Z out = self.conv2(out) 2025-12-04T09:08:22.2753134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2753493Z x = F.conv2d( 2025-12-04T09:08:22.2753588Z 2025-12-04T09:08:22.2753701Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2754234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2754695Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2755087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2755483Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2755869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2756257Z x = stage(x) 2025-12-04T09:08:22.2756601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:22.2756991Z out = F.relu_(out) 2025-12-04T09:08:22.2757094Z 2025-12-04T09:08:22.2757202Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2757694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2758166Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2758559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2758957Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2759353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2759736Z x = stage(x) 2025-12-04T09:08:22.2760076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:22.2760468Z out = self.conv3(out) 2025-12-04T09:08:22.2760814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2761248Z x = F.conv2d( 2025-12-04T09:08:22.2761347Z 2025-12-04T09:08:22.2761459Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2761970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2762460Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2762868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2763274Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2763684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2764073Z x = stage(x) 2025-12-04T09:08:22.2764424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:08:22.2764816Z out = F.relu_(out) 2025-12-04T09:08:22.2764974Z 2025-12-04T09:08:22.2765093Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2765581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2766071Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2766493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2766890Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2767281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2767669Z x = stage(x) 2025-12-04T09:08:22.2768015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:22.2768404Z out = self.conv1(x) 2025-12-04T09:08:22.2768764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2769122Z x = F.conv2d( 2025-12-04T09:08:22.2769216Z 2025-12-04T09:08:22.2769329Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2769815Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2770299Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2770700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2771106Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2771503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2771892Z x = stage(x) 2025-12-04T09:08:22.2772258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:22.2772651Z out = F.relu_(out) 2025-12-04T09:08:22.2772754Z 2025-12-04T09:08:22.2772861Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2773347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2773825Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2774209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2774612Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2775005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2775398Z x = stage(x) 2025-12-04T09:08:22.2775740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:22.2776130Z out = self.conv2(out) 2025-12-04T09:08:22.2776476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2776837Z x = F.conv2d( 2025-12-04T09:08:22.2776941Z 2025-12-04T09:08:22.2777050Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2777538Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2778015Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2778412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2778817Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2779214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2779643Z x = stage(x) 2025-12-04T09:08:22.2779992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:22.2780374Z out = F.relu_(out) 2025-12-04T09:08:22.2780477Z 2025-12-04T09:08:22.2780591Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2781096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2781568Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2781966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2782371Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2782759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2783164Z x = stage(x) 2025-12-04T09:08:22.2783518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:22.2783907Z out = self.conv3(out) 2025-12-04T09:08:22.2784248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2784616Z x = F.conv2d( 2025-12-04T09:08:22.2784709Z 2025-12-04T09:08:22.2784822Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2785304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2785774Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2786165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2786560Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2786955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2787334Z x = stage(x) 2025-12-04T09:08:22.2787680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:08:22.2788069Z shortcut = self.shortcut(x) 2025-12-04T09:08:22.2788431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2788790Z x = F.conv2d( 2025-12-04T09:08:22.2788885Z 2025-12-04T09:08:22.2788999Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2789484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2789957Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2790356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2790753Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2791146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2791528Z x = stage(x) 2025-12-04T09:08:22.2791879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:22.2792257Z out = self.conv1(x) 2025-12-04T09:08:22.2792599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2792961Z x = F.conv2d( 2025-12-04T09:08:22.2793058Z 2025-12-04T09:08:22.2793173Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2793662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2794173Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2794566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2794964Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2795371Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2795751Z x = stage(x) 2025-12-04T09:08:22.2796100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:22.2796482Z out = F.relu_(out) 2025-12-04T09:08:22.2796595Z 2025-12-04T09:08:22.2796702Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2797201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2797722Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2798125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2798539Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2798952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2799354Z x = stage(x) 2025-12-04T09:08:22.2799718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:22.2800129Z out = self.conv2(out) 2025-12-04T09:08:22.2800489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2800870Z x = F.conv2d( 2025-12-04T09:08:22.2800975Z 2025-12-04T09:08:22.2801085Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2801682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2802168Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2802560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2802970Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2803383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2803964Z x = stage(x) 2025-12-04T09:08:22.2804327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:22.2804729Z out = F.relu_(out) 2025-12-04T09:08:22.2804839Z 2025-12-04T09:08:22.2804957Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2805456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2805940Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2806342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2806739Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2807143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2807533Z x = stage(x) 2025-12-04T09:08:22.2807895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:22.2808284Z out = self.conv3(out) 2025-12-04T09:08:22.2808642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2809009Z x = F.conv2d( 2025-12-04T09:08:22.2809106Z 2025-12-04T09:08:22.2809315Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2809809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2810292Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2810750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2811151Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2811566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2811959Z x = stage(x) 2025-12-04T09:08:22.2812324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:08:22.2812702Z out = F.relu_(out) 2025-12-04T09:08:22.2812813Z 2025-12-04T09:08:22.2812955Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2813448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2813919Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2814310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2814702Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2815099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2815472Z x = stage(x) 2025-12-04T09:08:22.2815819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:08:22.2816202Z out = self.conv1(x) 2025-12-04T09:08:22.2816545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2816897Z x = F.conv2d( 2025-12-04T09:08:22.2816998Z 2025-12-04T09:08:22.2817104Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2817594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2818057Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2818452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2818849Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2819250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2819644Z x = stage(x) 2025-12-04T09:08:22.2820005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:08:22.2820401Z out = F.relu_(out) 2025-12-04T09:08:22.2820508Z 2025-12-04T09:08:22.2820626Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2821119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2821598Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2821995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2822394Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2822788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2823174Z x = stage(x) 2025-12-04T09:08:22.2823517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:08:22.2823934Z out = self.conv2(out) 2025-12-04T09:08:22.2824282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2824650Z x = F.conv2d( 2025-12-04T09:08:22.2824744Z 2025-12-04T09:08:22.2824852Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2825374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2825860Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2826251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2826638Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2827036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2827443Z x = stage(x) 2025-12-04T09:08:22.2827792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:08:22.2828171Z out = F.relu_(out) 2025-12-04T09:08:22.2828282Z 2025-12-04T09:08:22.2828389Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2828885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2829357Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2829751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2830148Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2830545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2830918Z x = stage(x) 2025-12-04T09:08:22.2831274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:08:22.2831664Z out = self.conv3(out) 2025-12-04T09:08:22.2832005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2832365Z x = F.conv2d( 2025-12-04T09:08:22.2832465Z 2025-12-04T09:08:22.2832573Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2833069Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2833532Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2833927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:08:22.2834324Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:08:22.2834724Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:08:22.2835099Z x = stage(x) 2025-12-04T09:08:22.2835452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:08:22.2835838Z out = F.relu_(out) 2025-12-04T09:08:22.2835943Z 2025-12-04T09:08:22.2836051Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2836552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2837036Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2837442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 141, in forward 2025-12-04T09:08:22.2837934Z prev_features = self.lateral_convs[0](bottom_up_features[self.in_features[-1]]) 2025-12-04T09:08:22.2838456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2838525Z x = F.conv2d( 2025-12-04T09:08:22.2838538Z 2025-12-04T09:08:22.2838631Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2838742Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2839097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2839182Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2839434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 142, in forward 2025-12-04T09:08:22.2839558Z results.append(self.output_convs[0](prev_features)) 2025-12-04T09:08:22.2839791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2839863Z x = F.conv2d( 2025-12-04T09:08:22.2839891Z 2025-12-04T09:08:22.2840004Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2840332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2840426Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2840678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward 2025-12-04T09:08:22.2840771Z lateral_features = lateral_conv(features) 2025-12-04T09:08:22.2841013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2841077Z x = F.conv2d( 2025-12-04T09:08:22.2841081Z 2025-12-04T09:08:22.2841273Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2841610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2841699Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2841960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward 2025-12-04T09:08:22.2842051Z lateral_features = lateral_conv(features) 2025-12-04T09:08:22.2842295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2842358Z x = F.conv2d( 2025-12-04T09:08:22.2842362Z 2025-12-04T09:08:22.2842470Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2842804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2842890Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2843148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward 2025-12-04T09:08:22.2843244Z lateral_features = lateral_conv(features) 2025-12-04T09:08:22.2843479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2843551Z x = F.conv2d( 2025-12-04T09:08:22.2843555Z 2025-12-04T09:08:22.2843665Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2843991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2844085Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2844334Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward 2025-12-04T09:08:22.2844457Z prev_features = lateral_features + top_down_features 2025-12-04T09:08:22.2844461Z 2025-12-04T09:08:22.2844566Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2844939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2845040Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2845294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward 2025-12-04T09:08:22.2845438Z prev_features = lateral_features + top_down_features 2025-12-04T09:08:22.2845442Z 2025-12-04T09:08:22.2845550Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2845874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2845971Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2846222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward 2025-12-04T09:08:22.2846365Z prev_features = lateral_features + top_down_features 2025-12-04T09:08:22.2846369Z 2025-12-04T09:08:22.2846461Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2846547Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2846641Z cudagraph partition due to non gpu ops 2025-12-04T09:08:22.2846749Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2847079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2847174Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2847428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 165, in forward 2025-12-04T09:08:22.2847555Z results.extend(self.top_block(top_block_in_feature)) 2025-12-04T09:08:22.2847808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 200, in forward 2025-12-04T09:08:22.2847949Z return [F.max_pool2d(x, kernel_size=1, stride=2, padding=0)] 2025-12-04T09:08:22.2847953Z 2025-12-04T09:08:22.2848070Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2848398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2848495Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2848760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward 2025-12-04T09:08:22.2848864Z results.insert(0, output_conv(prev_features)) 2025-12-04T09:08:22.2849109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2849174Z x = F.conv2d( 2025-12-04T09:08:22.2849178Z 2025-12-04T09:08:22.2849287Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2849626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2849715Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2849982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward 2025-12-04T09:08:22.2850086Z results.insert(0, output_conv(prev_features)) 2025-12-04T09:08:22.2850335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2850409Z x = F.conv2d( 2025-12-04T09:08:22.2850412Z 2025-12-04T09:08:22.2850519Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:22.2850859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 204, in torch_dynamo_resume_in_inference_at_203 2025-12-04T09:08:22.2850948Z features = self.backbone(images.tensor) 2025-12-04T09:08:22.2851276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 158, in forward 2025-12-04T09:08:22.2851382Z results.insert(0, output_conv(prev_features)) 2025-12-04T09:08:22.2851607Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:08:22.2851690Z x = F.conv2d( 2025-12-04T09:08:22.2851700Z 2025-12-04T09:08:36.2407162Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:36.2407745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla 2025-12-04T09:08:36.2408218Z keep_mask = torch.zeros_like(scores, dtype=torch.bool) 2025-12-04T09:08:36.2408409Z 2025-12-04T09:08:41.1261007Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:41.1264161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:08:41.1264939Z return roi_align( 2025-12-04T09:08:41.1265313Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:08:41.1265742Z return torch.ops.torchvision.roi_align( 2025-12-04T09:08:41.1265902Z 2025-12-04T09:08:41.1266016Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:41.1266439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/roi_align.py", line 58, in forward 2025-12-04T09:08:41.1266821Z return roi_align( 2025-12-04T09:08:41.1267158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 258, in roi_align 2025-12-04T09:08:41.1267526Z return torch.ops.torchvision.roi_align( 2025-12-04T09:08:41.1267771Z 2025-12-04T09:08:48.7994590Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:48.7995324Z 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 2025-12-04T09:08:48.7995951Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:08:48.7996164Z 2025-12-04T09:08:48.7996281Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:48.7996841Z 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 2025-12-04T09:08:48.7997451Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:08:48.7997654Z 2025-12-04T09:08:48.7997767Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:48.7998310Z 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 2025-12-04T09:08:48.7998889Z boxes, scores, filter_inds = boxes[keep], scores[keep], filter_inds[keep] 2025-12-04T09:08:48.7999092Z 2025-12-04T09:08:54.6879992Z cudagraph partition due to non gpu ops 2025-12-04T09:08:54.6880396Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:54.6880960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:08:54.6881889Z output_boxes.clip(results.image_size) 2025-12-04T09:08:54.6882300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:08:54.6882799Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:08:54.6883033Z 2025-12-04T09:08:54.6883130Z cudagraph partition due to non gpu ops 2025-12-04T09:08:54.6883364Z cudagraph partition due to non gpu ops 2025-12-04T09:08:54.6883628Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:54.6884512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:08:54.6884984Z output_boxes.clip(results.image_size) 2025-12-04T09:08:54.6885377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:08:54.6885783Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:08:54.6886009Z 2025-12-04T09:08:54.6886136Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:08:54.6886615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:08:54.6887073Z results = results[output_boxes.nonempty()] 2025-12-04T09:08:54.6887473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T09:08:54.6887913Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T09:08:54.6888072Z 2025-12-04T09:09:06.5914795Z Compilation time (from dynamo_timed): 52.930794285 2025-12-04T09:09:06.5915115Z pass 2025-12-04T09:09:06.5919281Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:09:06.5920836Z TIMING: gc:0.05628 entire_frame_compile:52.93079 _recursive_pre_grad_passes:0.03551 _recursive_joint_graph_passes:0.38362 async_compile.wait:2.53348 inductor_compile:17.0544 backend_compile:29.97055 _recursive_post_grad_passes:0.12242 code_gen:6.33088 total_wall_time:52.93079 2025-12-04T09:09:06.5923109Z 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 2025-12-04T09:09:06.5924321Z Dynamo produced 61 graphs covering 986 ops with 46 graph breaks (6 unique) 2025-12-04T09:09:10.5609823Z /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. 2025-12-04T09:09:10.5611232Z import pynvml # type: ignore[import] 2025-12-04T09:09:12.9040999Z 2025-12-04T09:09:22.7167278Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:09:22.7167623Z loading model: 0it [00:09, ?it/s] 2025-12-04T09:09:22.7181585Z cpu eval detectron2_fcos_r_50_fpn 2025-12-04T09:09:42.8013276Z WARNING:common:fp64 golden ref were not generated for detectron2_fcos_r_50_fpn. Setting accuracy check to cosine 2025-12-04T09:09:42.8142322Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:09:56.0918732Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:10:09.4878870Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:10:11.7372464Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:11.7373501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in preprocess_image 2025-12-04T09:10:11.7374451Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T09:10:11.7375372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in 2025-12-04T09:10:11.7376326Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T09:10:11.7376680Z 2025-12-04T09:10:11.7376882Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:11.7377763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in preprocess_image 2025-12-04T09:10:11.7378686Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T09:10:11.7379985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in 2025-12-04T09:10:11.7380885Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T09:10:11.7381220Z 2025-12-04T09:10:11.7381420Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:11.7382384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in preprocess_image 2025-12-04T09:10:11.7383262Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T09:10:11.7384127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in 2025-12-04T09:10:11.7385013Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T09:10:11.7385343Z 2025-12-04T09:10:11.7385552Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:11.7386434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in preprocess_image 2025-12-04T09:10:11.7387455Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T09:10:11.7388327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128, in 2025-12-04T09:10:11.7389219Z images = [(x - self.pixel_mean) / self.pixel_std for x in images] 2025-12-04T09:10:11.7389550Z 2025-12-04T09:10:20.2797740Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:20.2798324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T09:10:20.2798866Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T09:10:20.2799346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T09:10:20.2799868Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T09:10:20.2800332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:10:20.2800906Z return torch.as_tensor(x, device=device) 2025-12-04T09:10:20.2801078Z 2025-12-04T09:10:20.2801294Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:20.2801755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T09:10:20.2802229Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T09:10:20.2802738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T09:10:20.2803222Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T09:10:20.2804063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:10:20.2804511Z return torch.as_tensor(x, device=device) 2025-12-04T09:10:20.2804684Z 2025-12-04T09:10:20.2804798Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:20.2805290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T09:10:20.2805760Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T09:10:20.2806213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T09:10:20.2806671Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T09:10:20.2807191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:10:20.2807602Z return torch.as_tensor(x, device=device) 2025-12-04T09:10:20.2807751Z 2025-12-04T09:10:20.2808715Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:20.2809170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in from_tensors 2025-12-04T09:10:20.2809610Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T09:10:20.2810072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88, in 2025-12-04T09:10:20.2810559Z image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes] 2025-12-04T09:10:20.2810994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 39, in shapes_to_tensor 2025-12-04T09:10:20.2811388Z return torch.as_tensor(x, device=device) 2025-12-04T09:10:20.2811537Z 2025-12-04T09:10:20.2811645Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:20.2812088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 89, in from_tensors 2025-12-04T09:10:20.2812580Z max_size = torch.stack(image_sizes_tensor).max(0).values 2025-12-04T09:10:20.2812751Z 2025-12-04T09:10:20.2812855Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:20.2813285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 101, in from_tensors 2025-12-04T09:10:20.2813763Z max_size = (max_size + (stride - 1)).div(stride, rounding_mode="floor") * stride 2025-12-04T09:10:20.2813970Z 2025-12-04T09:10:21.0321478Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4539969Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4541091Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4541541Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4541781Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4541997Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4542305Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4542576Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4542790Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4542995Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4543211Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4543435Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4543645Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4543872Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4544085Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4544290Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4544504Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4544719Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4544934Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4545139Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4545355Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4545571Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4545780Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4546004Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4546240Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4546458Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4546665Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4546881Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4547097Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4547351Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4547939Z 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 2025-12-04T09:10:37.4548463Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4548886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4549331Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4550110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:10:37.4550543Z x = self.stem(x) 2025-12-04T09:10:37.4550920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 356, in forward 2025-12-04T09:10:37.4551361Z x = self.conv1(x) 2025-12-04T09:10:37.4551698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4552045Z x = F.conv2d( 2025-12-04T09:10:37.4552145Z 2025-12-04T09:10:37.4552254Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4552752Z 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 2025-12-04T09:10:37.4553224Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4553610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4554077Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4554477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:10:37.4554843Z x = self.stem(x) 2025-12-04T09:10:37.4555177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 357, in forward 2025-12-04T09:10:37.4555570Z x = F.relu_(x) 2025-12-04T09:10:37.4555669Z 2025-12-04T09:10:37.4555784Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4556301Z 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 2025-12-04T09:10:37.4556788Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4557194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4557604Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4558007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 445, in forward 2025-12-04T09:10:37.4558402Z x = self.stem(x) 2025-12-04T09:10:37.4558776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 358, in forward 2025-12-04T09:10:37.4559230Z x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1) 2025-12-04T09:10:37.4559409Z 2025-12-04T09:10:37.4559522Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4560048Z 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 2025-12-04T09:10:37.4560552Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4560971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4561685Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4562105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4562520Z x = stage(x) 2025-12-04T09:10:37.4562891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:10:37.4563318Z out = self.conv1(x) 2025-12-04T09:10:37.4563672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4564036Z x = F.conv2d( 2025-12-04T09:10:37.4564137Z 2025-12-04T09:10:37.4564370Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4564886Z 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 2025-12-04T09:10:37.4565428Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4565840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4566236Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4566628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4567041Z x = stage(x) 2025-12-04T09:10:37.4567394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:10:37.4567793Z out = F.relu_(out) 2025-12-04T09:10:37.4567910Z 2025-12-04T09:10:37.4568021Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4568530Z 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 2025-12-04T09:10:37.4569038Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4569435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4569829Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4570223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4570602Z x = stage(x) 2025-12-04T09:10:37.4570964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:10:37.4571378Z out = self.conv2(out) 2025-12-04T09:10:37.4571725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4572123Z x = F.conv2d( 2025-12-04T09:10:37.4572224Z 2025-12-04T09:10:37.4572335Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4572857Z 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 2025-12-04T09:10:37.4573341Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4573740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4574147Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4574574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4574952Z x = stage(x) 2025-12-04T09:10:37.4575304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:10:37.4575690Z out = F.relu_(out) 2025-12-04T09:10:37.4575797Z 2025-12-04T09:10:37.4575907Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4576427Z 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 2025-12-04T09:10:37.4576920Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4577316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4577713Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4578111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4578491Z x = stage(x) 2025-12-04T09:10:37.4578833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:10:37.4579234Z out = self.conv3(out) 2025-12-04T09:10:37.4579587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4579948Z x = F.conv2d( 2025-12-04T09:10:37.4580050Z 2025-12-04T09:10:37.4580205Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4580741Z 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 2025-12-04T09:10:37.4581249Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4581676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4582079Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4582490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4582887Z x = stage(x) 2025-12-04T09:10:37.4583250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:10:37.4583690Z shortcut = self.shortcut(x) 2025-12-04T09:10:37.4584100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4584464Z x = F.conv2d( 2025-12-04T09:10:37.4584560Z 2025-12-04T09:10:37.4584673Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4585184Z 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 2025-12-04T09:10:37.4585676Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4586073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4586460Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4586859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4587247Z x = stage(x) 2025-12-04T09:10:37.4587601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:10:37.4588004Z out = self.conv1(x) 2025-12-04T09:10:37.4588349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4588719Z x = F.conv2d( 2025-12-04T09:10:37.4588817Z 2025-12-04T09:10:37.4588926Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4589433Z 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 2025-12-04T09:10:37.4589918Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4590307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4590706Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4591110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4591492Z x = stage(x) 2025-12-04T09:10:37.4591833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:10:37.4592228Z out = F.relu_(out) 2025-12-04T09:10:37.4592335Z 2025-12-04T09:10:37.4592453Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4592959Z 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 2025-12-04T09:10:37.4593444Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4593841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4594249Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4594689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4595116Z x = stage(x) 2025-12-04T09:10:37.4595477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:10:37.4595878Z out = self.conv2(out) 2025-12-04T09:10:37.4596225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4596636Z x = F.conv2d( 2025-12-04T09:10:37.4596731Z 2025-12-04T09:10:37.4596847Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4597347Z 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 2025-12-04T09:10:37.4597845Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4598281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4598741Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4599147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4599561Z x = stage(x) 2025-12-04T09:10:37.4599917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:10:37.4600315Z out = F.relu_(out) 2025-12-04T09:10:37.4600424Z 2025-12-04T09:10:37.4600530Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4601047Z 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 2025-12-04T09:10:37.4601653Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4602068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4602478Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4602914Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4603302Z x = stage(x) 2025-12-04T09:10:37.4603827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:10:37.4604305Z out = self.conv3(out) 2025-12-04T09:10:37.4604667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4605037Z x = F.conv2d( 2025-12-04T09:10:37.4605134Z 2025-12-04T09:10:37.4605247Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4605775Z 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 2025-12-04T09:10:37.4606289Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4606692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4607101Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4607512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4607915Z x = stage(x) 2025-12-04T09:10:37.4608267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:10:37.4608666Z out = F.relu_(out) 2025-12-04T09:10:37.4608773Z 2025-12-04T09:10:37.4608893Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4609416Z 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 2025-12-04T09:10:37.4609909Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4610423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4610853Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4611261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4611690Z x = stage(x) 2025-12-04T09:10:37.4612062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:10:37.4612488Z out = self.conv1(x) 2025-12-04T09:10:37.4612844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4613227Z x = F.conv2d( 2025-12-04T09:10:37.4613327Z 2025-12-04T09:10:37.4613447Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4613986Z 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 2025-12-04T09:10:37.4614531Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4614939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4615356Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4615762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4616150Z x = stage(x) 2025-12-04T09:10:37.4616512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:10:37.4616904Z out = F.relu_(out) 2025-12-04T09:10:37.4617012Z 2025-12-04T09:10:37.4617123Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4617649Z 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 2025-12-04T09:10:37.4618163Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4618569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4618983Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4619393Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4619787Z x = stage(x) 2025-12-04T09:10:37.4635383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:10:37.4635826Z out = self.conv2(out) 2025-12-04T09:10:37.4636199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4636575Z x = F.conv2d( 2025-12-04T09:10:37.4636679Z 2025-12-04T09:10:37.4636809Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4637364Z 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 2025-12-04T09:10:37.4637865Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4638276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4638691Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4639103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4639505Z x = stage(x) 2025-12-04T09:10:37.4639874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:10:37.4640272Z out = F.relu_(out) 2025-12-04T09:10:37.4640386Z 2025-12-04T09:10:37.4640504Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4641241Z 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 2025-12-04T09:10:37.4641773Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4642190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4642629Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4643050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4643435Z x = stage(x) 2025-12-04T09:10:37.4643785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:10:37.4644176Z out = self.conv3(out) 2025-12-04T09:10:37.4644523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4644917Z x = F.conv2d( 2025-12-04T09:10:37.4645019Z 2025-12-04T09:10:37.4645131Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4645638Z 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 2025-12-04T09:10:37.4646125Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4646511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4646908Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4647304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4647682Z x = stage(x) 2025-12-04T09:10:37.4648027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:10:37.4648415Z out = F.relu_(out) 2025-12-04T09:10:37.4648525Z 2025-12-04T09:10:37.4648648Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4649155Z 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 2025-12-04T09:10:37.4649642Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4650034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4650434Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4650822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4651211Z x = stage(x) 2025-12-04T09:10:37.4651562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:10:37.4651956Z out = self.conv1(x) 2025-12-04T09:10:37.4652302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4652664Z x = F.conv2d( 2025-12-04T09:10:37.4652761Z 2025-12-04T09:10:37.4652877Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4653374Z 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 2025-12-04T09:10:37.4653860Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4654250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4654653Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4655039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4655429Z x = stage(x) 2025-12-04T09:10:37.4655841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:10:37.4656227Z out = F.relu_(out) 2025-12-04T09:10:37.4656333Z 2025-12-04T09:10:37.4656441Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4656950Z 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 2025-12-04T09:10:37.4657455Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4657835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4658240Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4658636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4659016Z x = stage(x) 2025-12-04T09:10:37.4659361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:10:37.4659771Z out = self.conv2(out) 2025-12-04T09:10:37.4660118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4660467Z x = F.conv2d( 2025-12-04T09:10:37.4660571Z 2025-12-04T09:10:37.4660683Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4661186Z 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 2025-12-04T09:10:37.4661672Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4662052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4662445Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4662851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4663248Z x = stage(x) 2025-12-04T09:10:37.4663587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:10:37.4663967Z out = F.relu_(out) 2025-12-04T09:10:37.4664069Z 2025-12-04T09:10:37.4664181Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4664683Z 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 2025-12-04T09:10:37.4665166Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4665554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4665946Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4666329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4666713Z x = stage(x) 2025-12-04T09:10:37.4667062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:10:37.4667447Z out = self.conv3(out) 2025-12-04T09:10:37.4667785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4668149Z x = F.conv2d( 2025-12-04T09:10:37.4668243Z 2025-12-04T09:10:37.4668356Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4668856Z 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 2025-12-04T09:10:37.4669339Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4669729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4670132Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4670555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4670941Z x = stage(x) 2025-12-04T09:10:37.4671289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:10:37.4671701Z shortcut = self.shortcut(x) 2025-12-04T09:10:37.4672066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4672431Z x = F.conv2d( 2025-12-04T09:10:37.4672527Z 2025-12-04T09:10:37.4672640Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4673138Z 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 2025-12-04T09:10:37.4673629Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4674048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4674441Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4674829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4675209Z x = stage(x) 2025-12-04T09:10:37.4675555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:10:37.4675997Z out = self.conv1(x) 2025-12-04T09:10:37.4676329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4676697Z x = F.conv2d( 2025-12-04T09:10:37.4676800Z 2025-12-04T09:10:37.4676908Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4677413Z 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 2025-12-04T09:10:37.4677891Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4678283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4678676Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4679070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4679440Z x = stage(x) 2025-12-04T09:10:37.4679789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:10:37.4680167Z out = F.relu_(out) 2025-12-04T09:10:37.4680272Z 2025-12-04T09:10:37.4680380Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4680887Z 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 2025-12-04T09:10:37.4681470Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4681874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4682278Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4682711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4683100Z x = stage(x) 2025-12-04T09:10:37.4683447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:10:37.4683837Z out = self.conv2(out) 2025-12-04T09:10:37.4684200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4684577Z x = F.conv2d( 2025-12-04T09:10:37.4684685Z 2025-12-04T09:10:37.4684793Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4685360Z 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 2025-12-04T09:10:37.4685849Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4686238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4686644Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4687041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4687426Z x = stage(x) 2025-12-04T09:10:37.4687766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:10:37.4688146Z out = F.relu_(out) 2025-12-04T09:10:37.4688259Z 2025-12-04T09:10:37.4688367Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4688904Z 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 2025-12-04T09:10:37.4689384Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4689770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4690163Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4690556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4690932Z x = stage(x) 2025-12-04T09:10:37.4691278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:10:37.4691670Z out = self.conv3(out) 2025-12-04T09:10:37.4692006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4692366Z x = F.conv2d( 2025-12-04T09:10:37.4692459Z 2025-12-04T09:10:37.4692574Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4693082Z 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 2025-12-04T09:10:37.4693561Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4693955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4694355Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4694743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4695129Z x = stage(x) 2025-12-04T09:10:37.4695473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:10:37.4695859Z out = F.relu_(out) 2025-12-04T09:10:37.4695966Z 2025-12-04T09:10:37.4696072Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4696577Z 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 2025-12-04T09:10:37.4697047Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4697422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4697814Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4698207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4698594Z x = stage(x) 2025-12-04T09:10:37.4698931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:10:37.4699310Z out = self.conv1(x) 2025-12-04T09:10:37.4699689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4700050Z x = F.conv2d( 2025-12-04T09:10:37.4700145Z 2025-12-04T09:10:37.4700250Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4700762Z 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 2025-12-04T09:10:37.4701268Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4701651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4702234Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4702639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4703029Z x = stage(x) 2025-12-04T09:10:37.4703535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:10:37.4703907Z out = F.relu_(out) 2025-12-04T09:10:37.4704007Z 2025-12-04T09:10:37.4704117Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4704598Z 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 2025-12-04T09:10:37.4705056Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4705431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4705806Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4706178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4706538Z x = stage(x) 2025-12-04T09:10:37.4706878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:10:37.4707245Z out = self.conv2(out) 2025-12-04T09:10:37.4707564Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4707902Z x = F.conv2d( 2025-12-04T09:10:37.4707991Z 2025-12-04T09:10:37.4708099Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4708568Z 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 2025-12-04T09:10:37.4709026Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4709415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4709808Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4710203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4710580Z x = stage(x) 2025-12-04T09:10:37.4710927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:10:37.4711303Z out = F.relu_(out) 2025-12-04T09:10:37.4711400Z 2025-12-04T09:10:37.4711502Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4711979Z 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 2025-12-04T09:10:37.4712439Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4712797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4713169Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4713670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4714032Z x = stage(x) 2025-12-04T09:10:37.4714354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:10:37.4714723Z out = self.conv3(out) 2025-12-04T09:10:37.4715050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4715419Z x = F.conv2d( 2025-12-04T09:10:37.4715510Z 2025-12-04T09:10:37.4715611Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4716089Z 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 2025-12-04T09:10:37.4716543Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4716899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4717303Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4717688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4718075Z x = stage(x) 2025-12-04T09:10:37.4718413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:10:37.4718792Z out = F.relu_(out) 2025-12-04T09:10:37.4718897Z 2025-12-04T09:10:37.4719011Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4719507Z 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 2025-12-04T09:10:37.4719992Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4720384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4720787Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4721243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4721648Z x = stage(x) 2025-12-04T09:10:37.4722006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:10:37.4722404Z out = self.conv1(x) 2025-12-04T09:10:37.4722740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4723101Z x = F.conv2d( 2025-12-04T09:10:37.4723201Z 2025-12-04T09:10:37.4723317Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4723840Z 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 2025-12-04T09:10:37.4724348Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4724764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4725168Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4725567Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4725960Z x = stage(x) 2025-12-04T09:10:37.4726322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:10:37.4726707Z out = F.relu_(out) 2025-12-04T09:10:37.4726819Z 2025-12-04T09:10:37.4726924Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4727451Z 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 2025-12-04T09:10:37.4727946Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4728378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4728791Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4729194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4729612Z x = stage(x) 2025-12-04T09:10:37.4729957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:10:37.4730346Z out = self.conv2(out) 2025-12-04T09:10:37.4730695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4731059Z x = F.conv2d( 2025-12-04T09:10:37.4731162Z 2025-12-04T09:10:37.4731269Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4731778Z 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 2025-12-04T09:10:37.4732292Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4732691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4733090Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4733482Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4733874Z x = stage(x) 2025-12-04T09:10:37.4734228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:10:37.4734625Z out = F.relu_(out) 2025-12-04T09:10:37.4734730Z 2025-12-04T09:10:37.4734836Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4735350Z 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 2025-12-04T09:10:37.4735849Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4736248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4736653Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4737055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4737456Z x = stage(x) 2025-12-04T09:10:37.4737797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:10:37.4738199Z out = self.conv3(out) 2025-12-04T09:10:37.4738548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4738918Z x = F.conv2d( 2025-12-04T09:10:37.4739013Z 2025-12-04T09:10:37.4739120Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4739636Z 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 2025-12-04T09:10:37.4740128Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4740521Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4740913Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4741310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4741691Z x = stage(x) 2025-12-04T09:10:37.4742031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:10:37.4742419Z out = F.relu_(out) 2025-12-04T09:10:37.4742523Z 2025-12-04T09:10:37.4742640Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4743208Z 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 2025-12-04T09:10:37.4743694Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4744091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward 2025-12-04T09:10:37.4744528Z lateral_features = lateral_conv(features) 2025-12-04T09:10:37.4744909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4745269Z x = F.conv2d( 2025-12-04T09:10:37.4745373Z 2025-12-04T09:10:37.4745481Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4745993Z 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 2025-12-04T09:10:37.4746476Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4746898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4747297Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4747695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4748073Z x = stage(x) 2025-12-04T09:10:37.4748426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:10:37.4748816Z out = self.conv1(x) 2025-12-04T09:10:37.4749152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4749514Z x = F.conv2d( 2025-12-04T09:10:37.4749613Z 2025-12-04T09:10:37.4749722Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4750237Z 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 2025-12-04T09:10:37.4750720Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4751119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4751515Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4751915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4752302Z x = stage(x) 2025-12-04T09:10:37.4752653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:10:37.4753280Z out = F.relu_(out) 2025-12-04T09:10:37.4753390Z 2025-12-04T09:10:37.4753499Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4754019Z 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 2025-12-04T09:10:37.4754514Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4754915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4755315Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4755716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4756112Z x = stage(x) 2025-12-04T09:10:37.4756457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:10:37.4756860Z out = self.conv2(out) 2025-12-04T09:10:37.4757211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4757568Z x = F.conv2d( 2025-12-04T09:10:37.4757664Z 2025-12-04T09:10:37.4757824Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4758341Z 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 2025-12-04T09:10:37.4758838Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4759240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4759663Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4760063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4760465Z x = stage(x) 2025-12-04T09:10:37.4760813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:10:37.4761277Z out = F.relu_(out) 2025-12-04T09:10:37.4761399Z 2025-12-04T09:10:37.4761511Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4762069Z 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 2025-12-04T09:10:37.4762563Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4762971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4763368Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4763773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4764160Z x = stage(x) 2025-12-04T09:10:37.4764521Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:10:37.4764921Z out = self.conv3(out) 2025-12-04T09:10:37.4765272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4765645Z x = F.conv2d( 2025-12-04T09:10:37.4765744Z 2025-12-04T09:10:37.4765860Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4766382Z 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 2025-12-04T09:10:37.4766882Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4767278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4767681Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4768087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4768469Z x = stage(x) 2025-12-04T09:10:37.4768827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:10:37.4769241Z shortcut = self.shortcut(x) 2025-12-04T09:10:37.4769612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4769973Z x = F.conv2d( 2025-12-04T09:10:37.4770080Z 2025-12-04T09:10:37.4770191Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4770721Z 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 2025-12-04T09:10:37.4771216Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4771621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4772035Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4772440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4772829Z x = stage(x) 2025-12-04T09:10:37.4773233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:10:37.4773633Z out = self.conv1(x) 2025-12-04T09:10:37.4773980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4774373Z x = F.conv2d( 2025-12-04T09:10:37.4774475Z 2025-12-04T09:10:37.4774584Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4775110Z 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 2025-12-04T09:10:37.4775606Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4776012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4776434Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4776856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4777229Z x = stage(x) 2025-12-04T09:10:37.4777579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:10:37.4777976Z out = F.relu_(out) 2025-12-04T09:10:37.4778080Z 2025-12-04T09:10:37.4778187Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4778701Z 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 2025-12-04T09:10:37.4779195Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4779591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4779992Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4780398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4780780Z x = stage(x) 2025-12-04T09:10:37.4781130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:10:37.4781525Z out = self.conv2(out) 2025-12-04T09:10:37.4781880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4782244Z x = F.conv2d( 2025-12-04T09:10:37.4782341Z 2025-12-04T09:10:37.4782449Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4782960Z 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 2025-12-04T09:10:37.4783447Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4783845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4784240Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4784636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4785017Z x = stage(x) 2025-12-04T09:10:37.4785362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:10:37.4785746Z out = F.relu_(out) 2025-12-04T09:10:37.4785855Z 2025-12-04T09:10:37.4785963Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4786467Z 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 2025-12-04T09:10:37.4786949Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4787401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4787801Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4788193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4788562Z x = stage(x) 2025-12-04T09:10:37.4788908Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:10:37.4789314Z out = self.conv3(out) 2025-12-04T09:10:37.4789650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4790006Z x = F.conv2d( 2025-12-04T09:10:37.4790110Z 2025-12-04T09:10:37.4790217Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4790705Z 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 2025-12-04T09:10:37.4791185Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4791558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4791928Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4792316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4792702Z x = stage(x) 2025-12-04T09:10:37.4793050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:10:37.4793439Z out = F.relu_(out) 2025-12-04T09:10:37.4793537Z 2025-12-04T09:10:37.4793638Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4794116Z 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 2025-12-04T09:10:37.4794581Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4794975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4795360Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4795757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4796146Z x = stage(x) 2025-12-04T09:10:37.4796484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:10:37.4796880Z out = self.conv1(x) 2025-12-04T09:10:37.4797222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4797592Z x = F.conv2d( 2025-12-04T09:10:37.4797687Z 2025-12-04T09:10:37.4798022Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4798537Z 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 2025-12-04T09:10:37.4799026Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4799420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4799826Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4800222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4800615Z x = stage(x) 2025-12-04T09:10:37.4800962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:10:37.4801463Z out = F.relu_(out) 2025-12-04T09:10:37.4801586Z 2025-12-04T09:10:37.4801699Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4802292Z 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 2025-12-04T09:10:37.4802796Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4803193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4803769Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4804175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4804547Z x = stage(x) 2025-12-04T09:10:37.4804897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:10:37.4805286Z out = self.conv2(out) 2025-12-04T09:10:37.4805627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4805989Z x = F.conv2d( 2025-12-04T09:10:37.4806158Z 2025-12-04T09:10:37.4806270Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4806778Z 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 2025-12-04T09:10:37.4807256Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4807647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4808041Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4808438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4808809Z x = stage(x) 2025-12-04T09:10:37.4809158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:10:37.4809540Z out = F.relu_(out) 2025-12-04T09:10:37.4809643Z 2025-12-04T09:10:37.4809754Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4810258Z 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 2025-12-04T09:10:37.4810737Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4811127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4811515Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4811910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4812289Z x = stage(x) 2025-12-04T09:10:37.4812628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:10:37.4813020Z out = self.conv3(out) 2025-12-04T09:10:37.4813370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4813729Z x = F.conv2d( 2025-12-04T09:10:37.4813821Z 2025-12-04T09:10:37.4813928Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4814436Z 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 2025-12-04T09:10:37.4814926Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4815312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4815711Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4816102Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4816492Z x = stage(x) 2025-12-04T09:10:37.4816831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:10:37.4817295Z out = F.relu_(out) 2025-12-04T09:10:37.4817409Z 2025-12-04T09:10:37.4817515Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4818021Z 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 2025-12-04T09:10:37.4818525Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4818919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4819325Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4819716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4820107Z x = stage(x) 2025-12-04T09:10:37.4820458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:10:37.4820866Z out = self.conv1(x) 2025-12-04T09:10:37.4821202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4821557Z x = F.conv2d( 2025-12-04T09:10:37.4821651Z 2025-12-04T09:10:37.4821766Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4822269Z 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 2025-12-04T09:10:37.4822747Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4823137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4823537Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4823924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4824302Z x = stage(x) 2025-12-04T09:10:37.4824652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:10:37.4825036Z out = F.relu_(out) 2025-12-04T09:10:37.4825139Z 2025-12-04T09:10:37.4825245Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4825751Z 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 2025-12-04T09:10:37.4826234Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4826623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4827005Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4827400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4827777Z x = stage(x) 2025-12-04T09:10:37.4828121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:10:37.4828504Z out = self.conv2(out) 2025-12-04T09:10:37.4828853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4829208Z x = F.conv2d( 2025-12-04T09:10:37.4829303Z 2025-12-04T09:10:37.4829408Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4829911Z 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 2025-12-04T09:10:37.4830392Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4830772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4831168Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4831614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4831996Z x = stage(x) 2025-12-04T09:10:37.4832337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:10:37.4832720Z out = F.relu_(out) 2025-12-04T09:10:37.4832844Z 2025-12-04T09:10:37.4832958Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4833468Z 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 2025-12-04T09:10:37.4833946Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4834338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4834734Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4835127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4835529Z x = stage(x) 2025-12-04T09:10:37.4835880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:10:37.4836273Z out = self.conv3(out) 2025-12-04T09:10:37.4836620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4836979Z x = F.conv2d( 2025-12-04T09:10:37.4837073Z 2025-12-04T09:10:37.4837186Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4837690Z 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 2025-12-04T09:10:37.4838196Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4838599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4839007Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4839415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4839819Z x = stage(x) 2025-12-04T09:10:37.4840179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:10:37.4840585Z out = F.relu_(out) 2025-12-04T09:10:37.4840694Z 2025-12-04T09:10:37.4840804Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4841426Z 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 2025-12-04T09:10:37.4841940Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4842338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4842763Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4843168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4843569Z x = stage(x) 2025-12-04T09:10:37.4843920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:10:37.4844318Z out = self.conv1(x) 2025-12-04T09:10:37.4844673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4845035Z x = F.conv2d( 2025-12-04T09:10:37.4845145Z 2025-12-04T09:10:37.4845258Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4845777Z 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 2025-12-04T09:10:37.4846280Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4846727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4847134Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4847541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4847951Z x = stage(x) 2025-12-04T09:10:37.4848300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:10:37.4848690Z out = F.relu_(out) 2025-12-04T09:10:37.4848796Z 2025-12-04T09:10:37.4848911Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4849425Z 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 2025-12-04T09:10:37.4849925Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4850354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4850756Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4851158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4851550Z x = stage(x) 2025-12-04T09:10:37.4851909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:10:37.4852305Z out = self.conv2(out) 2025-12-04T09:10:37.4852658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4853018Z x = F.conv2d( 2025-12-04T09:10:37.4853113Z 2025-12-04T09:10:37.4853227Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4853728Z 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 2025-12-04T09:10:37.4854216Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4854606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4855016Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4855405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4855783Z x = stage(x) 2025-12-04T09:10:37.4856132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:10:37.4856518Z out = F.relu_(out) 2025-12-04T09:10:37.4856632Z 2025-12-04T09:10:37.4856737Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4857244Z 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 2025-12-04T09:10:37.4857733Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4858115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4858511Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4858913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4859299Z x = stage(x) 2025-12-04T09:10:37.4859638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:10:37.4860027Z out = self.conv3(out) 2025-12-04T09:10:37.4860372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4860734Z x = F.conv2d( 2025-12-04T09:10:37.4860839Z 2025-12-04T09:10:37.4860995Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4861508Z 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 2025-12-04T09:10:37.4861998Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4862384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4862809Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4863206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4863597Z x = stage(x) 2025-12-04T09:10:37.4863939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:10:37.4864334Z out = F.relu_(out) 2025-12-04T09:10:37.4864438Z 2025-12-04T09:10:37.4864553Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4865077Z 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 2025-12-04T09:10:37.4865562Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4865953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4866348Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4866734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4867122Z x = stage(x) 2025-12-04T09:10:37.4867449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:10:37.4867812Z out = self.conv1(x) 2025-12-04T09:10:37.4868152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4868512Z x = F.conv2d( 2025-12-04T09:10:37.4868607Z 2025-12-04T09:10:37.4868722Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4869218Z 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 2025-12-04T09:10:37.4869702Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4870091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4870482Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4870871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4871247Z x = stage(x) 2025-12-04T09:10:37.4871591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:10:37.4871970Z out = F.relu_(out) 2025-12-04T09:10:37.4872081Z 2025-12-04T09:10:37.4872188Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4872695Z 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 2025-12-04T09:10:37.4873179Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4873565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4873959Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4874354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4874731Z x = stage(x) 2025-12-04T09:10:37.4875070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:10:37.4875455Z out = self.conv2(out) 2025-12-04T09:10:37.4875861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4876214Z x = F.conv2d( 2025-12-04T09:10:37.4876317Z 2025-12-04T09:10:37.4876425Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4876952Z 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 2025-12-04T09:10:37.4877437Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4877826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4878223Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4878627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4879020Z x = stage(x) 2025-12-04T09:10:37.4879404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:10:37.4879802Z out = F.relu_(out) 2025-12-04T09:10:37.4879910Z 2025-12-04T09:10:37.4880027Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4880543Z 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 2025-12-04T09:10:37.4881051Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4881555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4881964Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4882364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4882758Z x = stage(x) 2025-12-04T09:10:37.4883120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:10:37.4883506Z out = self.conv3(out) 2025-12-04T09:10:37.4883862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4884235Z x = F.conv2d( 2025-12-04T09:10:37.4884334Z 2025-12-04T09:10:37.4884453Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4884962Z 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 2025-12-04T09:10:37.4885461Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4885900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4886312Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4886719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4887116Z x = stage(x) 2025-12-04T09:10:37.4887476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:10:37.4887871Z out = F.relu_(out) 2025-12-04T09:10:37.4887988Z 2025-12-04T09:10:37.4888097Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4888633Z 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 2025-12-04T09:10:37.4889143Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4889532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 154, in forward 2025-12-04T09:10:37.4889942Z lateral_features = lateral_conv(features) 2025-12-04T09:10:37.4890390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4890765Z x = F.conv2d( 2025-12-04T09:10:37.4890875Z 2025-12-04T09:10:37.4890985Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4891525Z 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 2025-12-04T09:10:37.4892058Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4892464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4892881Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4893300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4893705Z x = stage(x) 2025-12-04T09:10:37.4894065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:10:37.4894496Z out = self.conv1(x) 2025-12-04T09:10:37.4894852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4895227Z x = F.conv2d( 2025-12-04T09:10:37.4895330Z 2025-12-04T09:10:37.4895436Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4895959Z 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 2025-12-04T09:10:37.4896442Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4896824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4897216Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4897608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4897988Z x = stage(x) 2025-12-04T09:10:37.4898327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:10:37.4898709Z out = F.relu_(out) 2025-12-04T09:10:37.4898813Z 2025-12-04T09:10:37.4898928Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4899424Z 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 2025-12-04T09:10:37.4899908Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4900300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4900689Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4901071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4901449Z x = stage(x) 2025-12-04T09:10:37.4901797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:10:37.4902176Z out = self.conv2(out) 2025-12-04T09:10:37.4902520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4902881Z x = F.conv2d( 2025-12-04T09:10:37.4902975Z 2025-12-04T09:10:37.4903090Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4903792Z 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 2025-12-04T09:10:37.4904291Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4904685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4905082Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4905569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4905951Z x = stage(x) 2025-12-04T09:10:37.4906303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:10:37.4906718Z out = F.relu_(out) 2025-12-04T09:10:37.4906833Z 2025-12-04T09:10:37.4906941Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4907451Z 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 2025-12-04T09:10:37.4907935Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4908318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4908714Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4909115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4909531Z x = stage(x) 2025-12-04T09:10:37.4909872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:10:37.4910259Z out = self.conv3(out) 2025-12-04T09:10:37.4910609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4910961Z x = F.conv2d( 2025-12-04T09:10:37.4911066Z 2025-12-04T09:10:37.4911175Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4911679Z 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 2025-12-04T09:10:37.4912160Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4912546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4912943Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4913346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4913715Z x = stage(x) 2025-12-04T09:10:37.4914063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 204, in forward 2025-12-04T09:10:37.4914453Z shortcut = self.shortcut(x) 2025-12-04T09:10:37.4914811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4915162Z x = F.conv2d( 2025-12-04T09:10:37.4915264Z 2025-12-04T09:10:37.4915370Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4915877Z 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 2025-12-04T09:10:37.4916366Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4916751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4917146Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4917542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4917924Z x = stage(x) 2025-12-04T09:10:37.4918272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:10:37.4918655Z out = self.conv1(x) 2025-12-04T09:10:37.4918996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4919356Z x = F.conv2d( 2025-12-04T09:10:37.4919455Z 2025-12-04T09:10:37.4919564Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4920120Z 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 2025-12-04T09:10:37.4920603Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4920999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4921477Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4921888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4922279Z x = stage(x) 2025-12-04T09:10:37.4922635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:10:37.4923038Z out = F.relu_(out) 2025-12-04T09:10:37.4923147Z 2025-12-04T09:10:37.4923267Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4923786Z 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 2025-12-04T09:10:37.4924331Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4924736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4925152Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4925559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4925964Z x = stage(x) 2025-12-04T09:10:37.4926326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:10:37.4926788Z out = self.conv2(out) 2025-12-04T09:10:37.4927140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4927509Z x = F.conv2d( 2025-12-04T09:10:37.4927609Z 2025-12-04T09:10:37.4927718Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4928240Z 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 2025-12-04T09:10:37.4928753Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4929146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4929537Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4929946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4930339Z x = stage(x) 2025-12-04T09:10:37.4930698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:10:37.4931082Z out = F.relu_(out) 2025-12-04T09:10:37.4931200Z 2025-12-04T09:10:37.4931310Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4931833Z 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 2025-12-04T09:10:37.4932330Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4932735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4933146Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4933553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4933938Z x = stage(x) 2025-12-04T09:10:37.4934301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:10:37.4934700Z out = self.conv3(out) 2025-12-04T09:10:37.4935102Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4935475Z x = F.conv2d( 2025-12-04T09:10:37.4935580Z 2025-12-04T09:10:37.4935692Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4936214Z 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 2025-12-04T09:10:37.4936740Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4937144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4937554Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4937962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4938345Z x = stage(x) 2025-12-04T09:10:37.4938705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:10:37.4939116Z out = F.relu_(out) 2025-12-04T09:10:37.4939224Z 2025-12-04T09:10:37.4939332Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4939851Z 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 2025-12-04T09:10:37.4940350Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4940748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4941154Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4941559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4941945Z x = stage(x) 2025-12-04T09:10:37.4942300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 195, in forward 2025-12-04T09:10:37.4942687Z out = self.conv1(x) 2025-12-04T09:10:37.4943038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4943412Z x = F.conv2d( 2025-12-04T09:10:37.4943509Z 2025-12-04T09:10:37.4943618Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4944138Z 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 2025-12-04T09:10:37.4944636Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4945036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4945401Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4945773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4946133Z x = stage(x) 2025-12-04T09:10:37.4946454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 196, in forward 2025-12-04T09:10:37.4946814Z out = F.relu_(out) 2025-12-04T09:10:37.4946921Z 2025-12-04T09:10:37.4947021Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4947504Z 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 2025-12-04T09:10:37.4947954Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4948323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4948697Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4949070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4949469Z x = stage(x) 2025-12-04T09:10:37.4949802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 198, in forward 2025-12-04T09:10:37.4950173Z out = self.conv2(out) 2025-12-04T09:10:37.4950495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4950858Z x = F.conv2d( 2025-12-04T09:10:37.4950955Z 2025-12-04T09:10:37.4951056Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4951537Z 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 2025-12-04T09:10:37.4951988Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4952359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4952736Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4953140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4953497Z x = stage(x) 2025-12-04T09:10:37.4953832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 199, in forward 2025-12-04T09:10:37.4954199Z out = F.relu_(out) 2025-12-04T09:10:37.4954299Z 2025-12-04T09:10:37.4954398Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4954880Z 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 2025-12-04T09:10:37.4955345Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4955718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4956087Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4956467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4956526Z x = stage(x) 2025-12-04T09:10:37.4956778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 201, in forward 2025-12-04T09:10:37.4956845Z out = self.conv3(out) 2025-12-04T09:10:37.4957070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4957129Z x = F.conv2d( 2025-12-04T09:10:37.4957132Z 2025-12-04T09:10:37.4957233Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4957562Z 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 2025-12-04T09:10:37.4957642Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4957877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward 2025-12-04T09:10:37.4957964Z bottom_up_features = self.bottom_up(x) 2025-12-04T09:10:37.4958202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 449, in forward 2025-12-04T09:10:37.4958268Z x = stage(x) 2025-12-04T09:10:37.4958509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 209, in forward 2025-12-04T09:10:37.4958571Z out = F.relu_(out) 2025-12-04T09:10:37.4958574Z 2025-12-04T09:10:37.4958680Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4959013Z 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 2025-12-04T09:10:37.4959103Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4959389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 141, in forward 2025-12-04T09:10:37.4959562Z prev_features = self.lateral_convs[0](bottom_up_features[self.in_features[-1]]) 2025-12-04T09:10:37.4959802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 142, in forward 2025-12-04T09:10:37.4959889Z x = F.conv2d( 2025-12-04T09:10:37.4959892Z 2025-12-04T09:10:37.4960003Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4960341Z 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 2025-12-04T09:10:37.4960427Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4960680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward 2025-12-04T09:10:37.4960794Z prev_features = lateral_features + top_down_features 2025-12-04T09:10:37.4960798Z 2025-12-04T09:10:37.4960926Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4961354Z 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 2025-12-04T09:10:37.4961449Z features = self.backbone(images.tensor) 2025-12-04T09:10:37.4961718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 155, in forward 2025-12-04T09:10:37.4961835Z prev_features = lateral_features + top_down_features 2025-12-04T09:10:37.4961840Z 2025-12-04T09:10:37.4961932Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4962050Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4962397Z 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 2025-12-04T09:10:37.4962493Z predictions = self.head(features) 2025-12-04T09:10:37.4962764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4962889Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4962894Z 2025-12-04T09:10:37.4963007Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4963344Z 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 2025-12-04T09:10:37.4963438Z predictions = self.head(features) 2025-12-04T09:10:37.4963689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4963809Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4963813Z 2025-12-04T09:10:37.4963925Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4964263Z 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 2025-12-04T09:10:37.4964353Z predictions = self.head(features) 2025-12-04T09:10:37.4964600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4964718Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4964722Z 2025-12-04T09:10:37.4964833Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4965166Z 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 2025-12-04T09:10:37.4965247Z predictions = self.head(features) 2025-12-04T09:10:37.4965503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4965618Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4965624Z 2025-12-04T09:10:37.4965812Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4966146Z 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 2025-12-04T09:10:37.4966222Z predictions = self.head(features) 2025-12-04T09:10:37.4966509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4966624Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4966628Z 2025-12-04T09:10:37.4966740Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4967082Z 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 2025-12-04T09:10:37.4967159Z predictions = self.head(features) 2025-12-04T09:10:37.4967426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4967564Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4967568Z 2025-12-04T09:10:37.4967681Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4968017Z 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 2025-12-04T09:10:37.4968099Z predictions = self.head(features) 2025-12-04T09:10:37.4968359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4968473Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4968476Z 2025-12-04T09:10:37.4968588Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4968926Z 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 2025-12-04T09:10:37.4969006Z predictions = self.head(features) 2025-12-04T09:10:37.4969261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4969371Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4969377Z 2025-12-04T09:10:37.4969469Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4969552Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4969656Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4970017Z 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 2025-12-04T09:10:37.4970094Z predictions = self.head(features) 2025-12-04T09:10:37.4970341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4970465Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4970468Z 2025-12-04T09:10:37.4970572Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4970930Z 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 2025-12-04T09:10:37.4971008Z predictions = self.head(features) 2025-12-04T09:10:37.4971255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4971375Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4971378Z 2025-12-04T09:10:37.4971482Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4971821Z 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 2025-12-04T09:10:37.4971941Z predictions = self.head(features) 2025-12-04T09:10:37.4972190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4972310Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4972314Z 2025-12-04T09:10:37.4972446Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4972786Z 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 2025-12-04T09:10:37.4972864Z predictions = self.head(features) 2025-12-04T09:10:37.4973114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4973234Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4973238Z 2025-12-04T09:10:37.4973341Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4973713Z 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 2025-12-04T09:10:37.4973798Z predictions = self.head(features) 2025-12-04T09:10:37.4974045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4974166Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4974169Z 2025-12-04T09:10:37.4974273Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4974607Z 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 2025-12-04T09:10:37.4974690Z predictions = self.head(features) 2025-12-04T09:10:37.4974937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4975061Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4975067Z 2025-12-04T09:10:37.4975171Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4975525Z 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 2025-12-04T09:10:37.4975610Z predictions = self.head(features) 2025-12-04T09:10:37.4975855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4975976Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4975980Z 2025-12-04T09:10:37.4976082Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4976435Z 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 2025-12-04T09:10:37.4976524Z predictions = self.head(features) 2025-12-04T09:10:37.4976771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4976891Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4976894Z 2025-12-04T09:10:37.4976976Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4977059Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4977170Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4977528Z 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 2025-12-04T09:10:37.4977605Z predictions = self.head(features) 2025-12-04T09:10:37.4977859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4977971Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4978016Z 2025-12-04T09:10:37.4978128Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4978485Z 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 2025-12-04T09:10:37.4978562Z predictions = self.head(features) 2025-12-04T09:10:37.4978837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4978960Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4978964Z 2025-12-04T09:10:37.4979070Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4979387Z 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 2025-12-04T09:10:37.4979460Z predictions = self.head(features) 2025-12-04T09:10:37.4979722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4979828Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4979831Z 2025-12-04T09:10:37.4979938Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4980256Z 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 2025-12-04T09:10:37.4980329Z predictions = self.head(features) 2025-12-04T09:10:37.4980570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4980676Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4980679Z 2025-12-04T09:10:37.4980786Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4981104Z 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 2025-12-04T09:10:37.4981179Z predictions = self.head(features) 2025-12-04T09:10:37.4981418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4981525Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4981530Z 2025-12-04T09:10:37.4981630Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4981951Z 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 2025-12-04T09:10:37.4982025Z predictions = self.head(features) 2025-12-04T09:10:37.4982265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4982371Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4982376Z 2025-12-04T09:10:37.4982476Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4982797Z 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 2025-12-04T09:10:37.4982870Z predictions = self.head(features) 2025-12-04T09:10:37.4983123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4983228Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4983231Z 2025-12-04T09:10:37.4983330Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4983649Z 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 2025-12-04T09:10:37.4983720Z predictions = self.head(features) 2025-12-04T09:10:37.4984004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4984112Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4984116Z 2025-12-04T09:10:37.4984192Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4984275Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4984395Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4984714Z 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 2025-12-04T09:10:37.4984795Z predictions = self.head(features) 2025-12-04T09:10:37.4985031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4985143Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4985146Z 2025-12-04T09:10:37.4985245Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4985588Z 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 2025-12-04T09:10:37.4985667Z predictions = self.head(features) 2025-12-04T09:10:37.4985902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4986019Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4986022Z 2025-12-04T09:10:37.4986120Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4986438Z 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 2025-12-04T09:10:37.4986519Z predictions = self.head(features) 2025-12-04T09:10:37.4986755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4986872Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4986876Z 2025-12-04T09:10:37.4986975Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4987294Z 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 2025-12-04T09:10:37.4987377Z predictions = self.head(features) 2025-12-04T09:10:37.4987612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4987726Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4987729Z 2025-12-04T09:10:37.4987828Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4988147Z 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 2025-12-04T09:10:37.4988233Z predictions = self.head(features) 2025-12-04T09:10:37.4988470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4988582Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4988586Z 2025-12-04T09:10:37.4988684Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4989002Z 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 2025-12-04T09:10:37.4989081Z predictions = self.head(features) 2025-12-04T09:10:37.4989312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4989416Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4989427Z 2025-12-04T09:10:37.4989524Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4989887Z 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 2025-12-04T09:10:37.4989969Z predictions = self.head(features) 2025-12-04T09:10:37.4990199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4990326Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4990329Z 2025-12-04T09:10:37.4990436Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4990751Z 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 2025-12-04T09:10:37.4990829Z predictions = self.head(features) 2025-12-04T09:10:37.4991062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4991196Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4991199Z 2025-12-04T09:10:37.4991284Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4991359Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.4991462Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4991781Z 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 2025-12-04T09:10:37.4991854Z predictions = self.head(features) 2025-12-04T09:10:37.4994890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4995018Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4995021Z 2025-12-04T09:10:37.4995120Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4995456Z 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 2025-12-04T09:10:37.4995531Z predictions = self.head(features) 2025-12-04T09:10:37.4995774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4995890Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4995893Z 2025-12-04T09:10:37.4995993Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4996324Z 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 2025-12-04T09:10:37.4996433Z predictions = self.head(features) 2025-12-04T09:10:37.4996671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4996787Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4996792Z 2025-12-04T09:10:37.4996894Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4997216Z 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 2025-12-04T09:10:37.4997297Z predictions = self.head(features) 2025-12-04T09:10:37.4997538Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4997653Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4997656Z 2025-12-04T09:10:37.4997755Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4998079Z 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 2025-12-04T09:10:37.4998161Z predictions = self.head(features) 2025-12-04T09:10:37.4998480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4998597Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4998601Z 2025-12-04T09:10:37.4998700Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4999014Z 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 2025-12-04T09:10:37.4999118Z predictions = self.head(features) 2025-12-04T09:10:37.4999353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.4999466Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.4999470Z 2025-12-04T09:10:37.4999569Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.4999889Z 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 2025-12-04T09:10:37.4999994Z predictions = self.head(features) 2025-12-04T09:10:37.5000233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.5000350Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.5000355Z 2025-12-04T09:10:37.5000460Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5000802Z 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 2025-12-04T09:10:37.5000977Z predictions = self.head(features) 2025-12-04T09:10:37.5001313Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.5001431Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.5001448Z 2025-12-04T09:10:37.5001532Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.5001637Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5001982Z 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 2025-12-04T09:10:37.5002062Z predictions = self.head(features) 2025-12-04T09:10:37.5002308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5002408Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5002413Z 2025-12-04T09:10:37.5002518Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5002859Z 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 2025-12-04T09:10:37.5002936Z predictions = self.head(features) 2025-12-04T09:10:37.5003185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5003281Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5003285Z 2025-12-04T09:10:37.5003557Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5003918Z 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 2025-12-04T09:10:37.5003997Z predictions = self.head(features) 2025-12-04T09:10:37.5004243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5004343Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5004347Z 2025-12-04T09:10:37.5004455Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5004841Z 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 2025-12-04T09:10:37.5004922Z predictions = self.head(features) 2025-12-04T09:10:37.5005167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5005261Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5005296Z 2025-12-04T09:10:37.5005405Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5005742Z 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 2025-12-04T09:10:37.5005830Z predictions = self.head(features) 2025-12-04T09:10:37.5006076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5006169Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5006173Z 2025-12-04T09:10:37.5006306Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5006640Z 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 2025-12-04T09:10:37.5006724Z predictions = self.head(features) 2025-12-04T09:10:37.5006972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5007064Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5007068Z 2025-12-04T09:10:37.5007171Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5007557Z 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 2025-12-04T09:10:37.5007646Z predictions = self.head(features) 2025-12-04T09:10:37.5007898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5007993Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5007997Z 2025-12-04T09:10:37.5008110Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5008432Z 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 2025-12-04T09:10:37.5008513Z predictions = self.head(features) 2025-12-04T09:10:37.5008754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5008831Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5008843Z 2025-12-04T09:10:37.5008920Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.5009018Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5009352Z 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 2025-12-04T09:10:37.5009426Z predictions = self.head(features) 2025-12-04T09:10:37.5009662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5009749Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5009755Z 2025-12-04T09:10:37.5009854Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5010201Z 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 2025-12-04T09:10:37.5010278Z predictions = self.head(features) 2025-12-04T09:10:37.5010532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5010625Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5010629Z 2025-12-04T09:10:37.5010734Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5011111Z 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 2025-12-04T09:10:37.5011190Z predictions = self.head(features) 2025-12-04T09:10:37.5011440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5011553Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5011557Z 2025-12-04T09:10:37.5011658Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5012000Z 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 2025-12-04T09:10:37.5012077Z predictions = self.head(features) 2025-12-04T09:10:37.5012321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5012432Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5012436Z 2025-12-04T09:10:37.5012540Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5012874Z 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 2025-12-04T09:10:37.5012961Z predictions = self.head(features) 2025-12-04T09:10:37.5013206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5013298Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5013302Z 2025-12-04T09:10:37.5013437Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5013775Z 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 2025-12-04T09:10:37.5013863Z predictions = self.head(features) 2025-12-04T09:10:37.5014114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5014205Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5014208Z 2025-12-04T09:10:37.5014313Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5014647Z 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 2025-12-04T09:10:37.5014732Z predictions = self.head(features) 2025-12-04T09:10:37.5014980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5015070Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5015074Z 2025-12-04T09:10:37.5015179Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5015513Z 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 2025-12-04T09:10:37.5015601Z predictions = self.head(features) 2025-12-04T09:10:37.5015847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5015932Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5015944Z 2025-12-04T09:10:37.5016026Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.5016130Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5016471Z 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 2025-12-04T09:10:37.5016547Z predictions = self.head(features) 2025-12-04T09:10:37.5016793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5016910Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5016915Z 2025-12-04T09:10:37.5017020Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5017359Z 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 2025-12-04T09:10:37.5017454Z predictions = self.head(features) 2025-12-04T09:10:37.5017699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5017790Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5017794Z 2025-12-04T09:10:37.5017898Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5018235Z 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 2025-12-04T09:10:37.5018311Z predictions = self.head(features) 2025-12-04T09:10:37.5018574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5018666Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5018670Z 2025-12-04T09:10:37.5018773Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5019111Z 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 2025-12-04T09:10:37.5019189Z predictions = self.head(features) 2025-12-04T09:10:37.5019451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5019543Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5019546Z 2025-12-04T09:10:37.5019649Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5019982Z 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 2025-12-04T09:10:37.5020067Z predictions = self.head(features) 2025-12-04T09:10:37.5020311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5020402Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5020407Z 2025-12-04T09:10:37.5020510Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5020844Z 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 2025-12-04T09:10:37.5020931Z predictions = self.head(features) 2025-12-04T09:10:37.5021177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5021268Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5021271Z 2025-12-04T09:10:37.5021378Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5021714Z 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 2025-12-04T09:10:37.5021798Z predictions = self.head(features) 2025-12-04T09:10:37.5022047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5022137Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5022141Z 2025-12-04T09:10:37.5022246Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5022581Z 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 2025-12-04T09:10:37.5022667Z predictions = self.head(features) 2025-12-04T09:10:37.5022931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5023017Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5023028Z 2025-12-04T09:10:37.5023107Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.5023211Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5023554Z 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 2025-12-04T09:10:37.5023650Z predictions = self.head(features) 2025-12-04T09:10:37.5023894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5023986Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5023989Z 2025-12-04T09:10:37.5024092Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5024434Z 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 2025-12-04T09:10:37.5024530Z predictions = self.head(features) 2025-12-04T09:10:37.5024778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5024869Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5024874Z 2025-12-04T09:10:37.5024977Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5025317Z 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 2025-12-04T09:10:37.5025394Z predictions = self.head(features) 2025-12-04T09:10:37.5025660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5025753Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5025757Z 2025-12-04T09:10:37.5025863Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5026200Z 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 2025-12-04T09:10:37.5026278Z predictions = self.head(features) 2025-12-04T09:10:37.5026523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5026616Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5026619Z 2025-12-04T09:10:37.5026723Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5027055Z 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 2025-12-04T09:10:37.5027138Z predictions = self.head(features) 2025-12-04T09:10:37.5027382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5027477Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5027480Z 2025-12-04T09:10:37.5027582Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5027912Z 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 2025-12-04T09:10:37.5027999Z predictions = self.head(features) 2025-12-04T09:10:37.5028244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5028333Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5028336Z 2025-12-04T09:10:37.5028441Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5028773Z 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 2025-12-04T09:10:37.5028880Z predictions = self.head(features) 2025-12-04T09:10:37.5029131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5029222Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5029226Z 2025-12-04T09:10:37.5029330Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5029688Z 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 2025-12-04T09:10:37.5029773Z predictions = self.head(features) 2025-12-04T09:10:37.5030024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5030116Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5030119Z 2025-12-04T09:10:37.5030201Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.5030307Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5030686Z 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 2025-12-04T09:10:37.5030763Z predictions = self.head(features) 2025-12-04T09:10:37.5031011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5031105Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5031109Z 2025-12-04T09:10:37.5031212Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5031587Z 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 2025-12-04T09:10:37.5031665Z predictions = self.head(features) 2025-12-04T09:10:37.5031912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5032006Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5032010Z 2025-12-04T09:10:37.5032116Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5032474Z 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 2025-12-04T09:10:37.5032553Z predictions = self.head(features) 2025-12-04T09:10:37.5032802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5032892Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5032895Z 2025-12-04T09:10:37.5033000Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5033358Z 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 2025-12-04T09:10:37.5033434Z predictions = self.head(features) 2025-12-04T09:10:37.5033687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5033779Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5033782Z 2025-12-04T09:10:37.5033885Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5034399Z 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 2025-12-04T09:10:37.5034494Z predictions = self.head(features) 2025-12-04T09:10:37.5034747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5034839Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5034843Z 2025-12-04T09:10:37.5034949Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5035323Z 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 2025-12-04T09:10:37.5035415Z predictions = self.head(features) 2025-12-04T09:10:37.5035670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5036153Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5036311Z 2025-12-04T09:10:37.5036426Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5036963Z 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 2025-12-04T09:10:37.5037477Z predictions = self.head(features) 2025-12-04T09:10:37.5037884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5038297Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5038474Z 2025-12-04T09:10:37.5038583Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5039126Z 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 2025-12-04T09:10:37.5039626Z predictions = self.head(features) 2025-12-04T09:10:37.5040031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 325, in forward 2025-12-04T09:10:37.5040433Z bbox_feature = self.bbox_subnet(feature) 2025-12-04T09:10:37.5040590Z 2025-12-04T09:10:37.5040673Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.5040956Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5041542Z 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 2025-12-04T09:10:37.5042049Z predictions = self.head(features) 2025-12-04T09:10:37.5042461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.5042916Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.5043113Z 2025-12-04T09:10:37.5043217Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5043734Z 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 2025-12-04T09:10:37.5044239Z predictions = self.head(features) 2025-12-04T09:10:37.5044650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.5045096Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.5045297Z 2025-12-04T09:10:37.5045408Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5046099Z 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 2025-12-04T09:10:37.5046611Z predictions = self.head(features) 2025-12-04T09:10:37.5047002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.5047448Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.5047628Z 2025-12-04T09:10:37.5047745Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5048272Z 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 2025-12-04T09:10:37.5048763Z predictions = self.head(features) 2025-12-04T09:10:37.5049163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.5049609Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.5049788Z 2025-12-04T09:10:37.5049930Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5050444Z 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 2025-12-04T09:10:37.5050935Z predictions = self.head(features) 2025-12-04T09:10:37.5051356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 324, in forward 2025-12-04T09:10:37.5051790Z logits.append(self.cls_score(self.cls_subnet(feature))) 2025-12-04T09:10:37.5051977Z 2025-12-04T09:10:37.5052086Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5052603Z 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 2025-12-04T09:10:37.5053091Z predictions = self.head(features) 2025-12-04T09:10:37.5053480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward 2025-12-04T09:10:37.5053930Z bbox_reg.append(self.bbox_pred(bbox_feature)) 2025-12-04T09:10:37.5054097Z 2025-12-04T09:10:37.5054206Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5054721Z 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 2025-12-04T09:10:37.5055210Z predictions = self.head(features) 2025-12-04T09:10:37.5055610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward 2025-12-04T09:10:37.5056045Z bbox_reg.append(self.bbox_pred(bbox_feature)) 2025-12-04T09:10:37.5056203Z 2025-12-04T09:10:37.5056314Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5056808Z 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 2025-12-04T09:10:37.5057296Z predictions = self.head(features) 2025-12-04T09:10:37.5057682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward 2025-12-04T09:10:37.5058083Z bbox_reg.append(self.bbox_pred(bbox_feature)) 2025-12-04T09:10:37.5058249Z 2025-12-04T09:10:37.5058356Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5058858Z 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 2025-12-04T09:10:37.5059339Z predictions = self.head(features) 2025-12-04T09:10:37.5059720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward 2025-12-04T09:10:37.5060130Z bbox_reg.append(self.bbox_pred(bbox_feature)) 2025-12-04T09:10:37.5060288Z 2025-12-04T09:10:37.5060400Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:37.5060900Z 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 2025-12-04T09:10:37.5061370Z predictions = self.head(features) 2025-12-04T09:10:37.5061754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/meta_arch/fcos.py", line 326, in forward 2025-12-04T09:10:37.5062169Z bbox_reg.append(self.bbox_pred(bbox_feature)) 2025-12-04T09:10:37.5062322Z 2025-12-04T09:10:37.5062415Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.5062635Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.5062857Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.5063072Z cudagraph partition due to non gpu ops 2025-12-04T09:10:37.5063280Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6759587Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6759927Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6760575Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6760813Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6761037Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6761556Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6761789Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6762088Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6762308Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6762525Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6762739Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6762956Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6763183Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6763394Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6763629Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6763848Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6764061Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6764341Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6764560Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6764781Z cudagraph partition due to non gpu ops 2025-12-04T09:10:51.6765044Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:51.6765613Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:10:51.6766142Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:10:51.6766664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T09:10:51.6767234Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T09:10:51.6767455Z 2025-12-04T09:10:51.6767597Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:51.6768061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:10:51.6768568Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:10:51.6769080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T09:10:51.6769574Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T09:10:51.6769772Z 2025-12-04T09:10:51.6769899Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:51.6770358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:10:51.6770851Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:10:51.6771363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T09:10:51.6771851Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T09:10:51.6772046Z 2025-12-04T09:10:51.6772169Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:51.6772612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:10:51.6773122Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:10:51.6773636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T09:10:51.6774106Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T09:10:51.6774303Z 2025-12-04T09:10:51.6774417Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:51.6774861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:10:51.6775359Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:10:51.6775847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 175, in _grid_anchors 2025-12-04T09:10:51.6776319Z shifts = torch.stack((shift_x, shift_y, shift_x, shift_y), dim=1) 2025-12-04T09:10:51.6776509Z 2025-12-04T09:10:51.6776640Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:51.6777090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:10:51.6777562Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:10:51.6778049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T09:10:51.6778556Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T09:10:51.6778779Z 2025-12-04T09:10:51.6778888Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:51.6779342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:10:51.6779815Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:10:51.6780296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T09:10:51.6780796Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T09:10:51.6781019Z 2025-12-04T09:10:51.6781127Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:51.6781584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:10:51.6782047Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:10:51.6782532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T09:10:51.6783024Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T09:10:51.6783238Z 2025-12-04T09:10:51.6783352Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:51.6783781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:10:51.6784262Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:10:51.6784754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T09:10:51.6785252Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T09:10:51.6785469Z 2025-12-04T09:10:51.6785578Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:51.6786018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 230, in forward 2025-12-04T09:10:51.6786500Z anchors_over_all_feature_maps = self._grid_anchors(grid_sizes) # pyre-ignore 2025-12-04T09:10:51.6786994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/anchor_generator.py", line 177, in _grid_anchors 2025-12-04T09:10:51.6787490Z anchors.append((shifts.view(-1, 1, 4) + base_anchors.view(1, -1, 4)).reshape(-1, 4)) 2025-12-04T09:10:51.6787707Z 2025-12-04T09:10:53.0023845Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:53.0024539Z 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 2025-12-04T09:10:53.0025050Z keep_idxs = pred_scores > score_thresh 2025-12-04T09:10:53.0025213Z 2025-12-04T09:10:54.0262739Z cudagraph partition due to non gpu ops 2025-12-04T09:10:54.0263112Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:54.0264095Z 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 2025-12-04T09:10:54.0264825Z pred_scores, idxs = pred_scores.topk(num_topk) 2025-12-04T09:10:54.0265069Z 2025-12-04T09:10:54.0265193Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:54.0265812Z 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 2025-12-04T09:10:54.0266399Z topk_idxs = topk_idxs[idxs] 2025-12-04T09:10:54.0266538Z 2025-12-04T09:10:54.0266656Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:54.0267301Z 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 2025-12-04T09:10:54.0267932Z pred_boxes = self.box2box_transform.apply_deltas( 2025-12-04T09:10:54.0268379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 294, in apply_deltas 2025-12-04T09:10:54.0268862Z strides = torch.stack([stride_w, stride_h, stride_w, stride_h], axis=1) 2025-12-04T09:10:54.0269066Z 2025-12-04T09:10:54.0269174Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:54.0269745Z 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 2025-12-04T09:10:54.0270365Z pred_scores, idxs = pred_scores.topk(num_topk) 2025-12-04T09:10:54.0270527Z 2025-12-04T09:10:55.6625675Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:55.6630309Z 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 2025-12-04T09:10:55.6630890Z keep_idxs = pred_scores > score_thresh 2025-12-04T09:10:55.6631053Z 2025-12-04T09:10:58.0744199Z cudagraph partition due to non gpu ops 2025-12-04T09:10:58.0746789Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:58.0747450Z 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 2025-12-04T09:10:58.0748099Z pred_scores, idxs = pred_scores.topk(num_topk) 2025-12-04T09:10:58.0748269Z 2025-12-04T09:10:58.0748389Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:58.0748976Z 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 2025-12-04T09:10:58.0749529Z topk_idxs = topk_idxs[idxs] 2025-12-04T09:10:58.0749659Z 2025-12-04T09:10:58.0749788Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:58.0750363Z 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 2025-12-04T09:10:58.0750930Z pred_boxes = self.box2box_transform.apply_deltas( 2025-12-04T09:10:58.0751425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 294, in apply_deltas 2025-12-04T09:10:58.0751972Z strides = torch.stack([stride_w, stride_h, stride_w, stride_h], axis=1) 2025-12-04T09:10:58.0752178Z 2025-12-04T09:10:58.0752284Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:10:58.0752860Z 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 2025-12-04T09:10:58.0753423Z pred_scores, idxs = pred_scores.topk(num_topk) 2025-12-04T09:10:58.0753582Z 2025-12-04T09:11:00.5886202Z cudagraph partition due to non gpu ops 2025-12-04T09:11:00.5886565Z cudagraph partition due to non gpu ops 2025-12-04T09:11:00.5886852Z cudagraph partition due to non gpu ops 2025-12-04T09:11:00.5887091Z cudagraph partition due to non gpu ops 2025-12-04T09:11:00.5887314Z cudagraph partition due to non gpu ops 2025-12-04T09:11:00.5887617Z cudagraph partition due to non gpu ops 2025-12-04T09:11:00.5887851Z cudagraph partition due to non gpu ops 2025-12-04T09:11:00.5888087Z cudagraph partition due to non gpu ops 2025-12-04T09:11:00.5888316Z cudagraph partition due to non gpu ops 2025-12-04T09:11:00.5888546Z cudagraph partition due to non gpu ops 2025-12-04T09:11:00.5888795Z cudagraph partition due to non gpu ops 2025-12-04T09:11:00.5889018Z cudagraph partition due to non gpu ops 2025-12-04T09:11:00.5889239Z cudagraph partition due to non gpu ops 2025-12-04T09:11:00.5889468Z cudagraph partition due to non gpu ops 2025-12-04T09:11:00.5889691Z cudagraph partition due to non gpu ops 2025-12-04T09:11:00.5890079Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:00.5890724Z 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 2025-12-04T09:11:00.5891415Z return predictions[0].cat(predictions) # 'Instances.cat' is not scriptale but this is 2025-12-04T09:11:00.5891932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 176, in cat 2025-12-04T09:11:00.5892360Z values = torch.cat(values, dim=0) 2025-12-04T09:11:00.5892509Z 2025-12-04T09:11:00.5892734Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:00.5893334Z 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 2025-12-04T09:11:00.5893988Z return predictions[0].cat(predictions) # 'Instances.cat' is not scriptale but this is 2025-12-04T09:11:00.5894483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 176, in cat 2025-12-04T09:11:00.5894870Z values = torch.cat(values, dim=0) 2025-12-04T09:11:00.5895007Z 2025-12-04T09:11:00.5895132Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:00.5895693Z 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 2025-12-04T09:11:00.5896330Z return predictions[0].cat(predictions) # 'Instances.cat' is not scriptale but this is 2025-12-04T09:11:00.5896803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 180, in cat 2025-12-04T09:11:00.5897192Z values = type(v0).cat(values) 2025-12-04T09:11:00.5897564Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 295, in cat 2025-12-04T09:11:00.5898111Z cat_boxes = cls(torch.cat([b.tensor for b in boxes_list], dim=0)) 2025-12-04T09:11:00.5898309Z 2025-12-04T09:11:01.9897083Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:01.9897645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 114, in _batched_nms_vanilla 2025-12-04T09:11:01.9898151Z keep_mask = torch.zeros_like(scores, dtype=torch.bool) 2025-12-04T09:11:01.9898344Z 2025-12-04T09:11:02.4735857Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:02.4736575Z 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 2025-12-04T09:11:02.4737148Z return pred[keep[: self.max_detections_per_image]] 2025-12-04T09:11:02.4737962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 141, in __getitem__ 2025-12-04T09:11:02.4738406Z ret.set(k, v[item]) 2025-12-04T09:11:02.4738790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__ 2025-12-04T09:11:02.4739204Z b = self.tensor[item] 2025-12-04T09:11:02.4739329Z 2025-12-04T09:11:05.1609121Z cudagraph partition due to non gpu ops 2025-12-04T09:11:05.1609498Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:05.1610150Z 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 2025-12-04T09:11:05.1610786Z pred_scores, idxs = pred_scores.topk(num_topk) 2025-12-04T09:11:05.1610966Z 2025-12-04T09:11:05.1611083Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:05.1611674Z 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 2025-12-04T09:11:05.1613144Z topk_idxs = topk_idxs[idxs] 2025-12-04T09:11:05.1613279Z 2025-12-04T09:11:05.1613392Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:05.1613999Z 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 2025-12-04T09:11:05.1614593Z pred_boxes = self.box2box_transform.apply_deltas( 2025-12-04T09:11:05.1615049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/box_regression.py", line 294, in apply_deltas 2025-12-04T09:11:05.1615623Z strides = torch.stack([stride_w, stride_h, stride_w, stride_h], axis=1) 2025-12-04T09:11:05.1615849Z 2025-12-04T09:11:05.1615964Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:05.1616556Z 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 2025-12-04T09:11:05.1617134Z pred_scores, idxs = pred_scores.topk(num_topk) 2025-12-04T09:11:05.1617295Z 2025-12-04T09:11:06.7674663Z cudagraph partition due to non gpu ops 2025-12-04T09:11:06.7675012Z cudagraph partition due to non gpu ops 2025-12-04T09:11:06.7675291Z cudagraph partition due to non gpu ops 2025-12-04T09:11:06.7675523Z cudagraph partition due to non gpu ops 2025-12-04T09:11:06.7675747Z cudagraph partition due to non gpu ops 2025-12-04T09:11:06.7675969Z cudagraph partition due to non gpu ops 2025-12-04T09:11:06.7676332Z cudagraph partition due to non gpu ops 2025-12-04T09:11:06.7676576Z cudagraph partition due to non gpu ops 2025-12-04T09:11:06.7676809Z cudagraph partition due to non gpu ops 2025-12-04T09:11:06.7677038Z cudagraph partition due to non gpu ops 2025-12-04T09:11:06.7677260Z cudagraph partition due to non gpu ops 2025-12-04T09:11:06.7677495Z cudagraph partition due to non gpu ops 2025-12-04T09:11:06.7677740Z cudagraph partition due to non gpu ops 2025-12-04T09:11:06.7677969Z cudagraph partition due to non gpu ops 2025-12-04T09:11:06.7678214Z cudagraph partition due to non gpu ops 2025-12-04T09:11:06.7678497Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:06.7679139Z 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 2025-12-04T09:11:06.7679813Z return predictions[0].cat(predictions) # 'Instances.cat' is not scriptale but this is 2025-12-04T09:11:06.7680311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 176, in cat 2025-12-04T09:11:06.7680729Z values = torch.cat(values, dim=0) 2025-12-04T09:11:06.7680875Z 2025-12-04T09:11:06.7681002Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:06.7682206Z 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 2025-12-04T09:11:06.7682943Z return predictions[0].cat(predictions) # 'Instances.cat' is not scriptale but this is 2025-12-04T09:11:06.7683432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 176, in cat 2025-12-04T09:11:06.7683895Z values = torch.cat(values, dim=0) 2025-12-04T09:11:06.7684035Z 2025-12-04T09:11:06.7684149Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:06.7684740Z 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 2025-12-04T09:11:06.7685386Z return predictions[0].cat(predictions) # 'Instances.cat' is not scriptale but this is 2025-12-04T09:11:06.7685881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 180, in cat 2025-12-04T09:11:06.7686349Z values = type(v0).cat(values) 2025-12-04T09:11:06.7686734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 295, in cat 2025-12-04T09:11:06.7687173Z cat_boxes = cls(torch.cat([b.tensor for b in boxes_list], dim=0)) 2025-12-04T09:11:06.7687370Z 2025-12-04T09:11:08.0250283Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:08.0250938Z 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 2025-12-04T09:11:08.0253206Z return pred[keep[: self.max_detections_per_image]] 2025-12-04T09:11:08.0258748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/instances.py", line 141, in __getitem__ 2025-12-04T09:11:08.0259218Z ret.set(k, v[item]) 2025-12-04T09:11:08.0259631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 235, in __getitem__ 2025-12-04T09:11:08.0260039Z b = self.tensor[item] 2025-12-04T09:11:08.0260172Z 2025-12-04T09:11:10.1818878Z cudagraph partition due to non gpu ops 2025-12-04T09:11:10.1819288Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:10.1819910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:11:10.1820530Z output_boxes.clip(results.image_size) 2025-12-04T09:11:10.1821019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:11:10.1821514Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:11:10.1821853Z 2025-12-04T09:11:10.1821946Z cudagraph partition due to non gpu ops 2025-12-04T09:11:10.1822180Z cudagraph partition due to non gpu ops 2025-12-04T09:11:10.1822469Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:10.1823019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:11:10.1823604Z output_boxes.clip(results.image_size) 2025-12-04T09:11:10.1824021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:11:10.1824490Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:11:10.1824658Z 2025-12-04T09:11:10.1824809Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:10.1825348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:11:10.1825904Z results = results[output_boxes.nonempty()] 2025-12-04T09:11:10.1826322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T09:11:10.1827152Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T09:11:10.1827380Z 2025-12-04T09:11:11.6642063Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:11.6642692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:11:11.6643569Z results = results[output_boxes.nonempty()] 2025-12-04T09:11:11.6643744Z 2025-12-04T09:11:11.6643864Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:11.6644370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:11:11.6644881Z results = results[output_boxes.nonempty()] 2025-12-04T09:11:11.6645045Z 2025-12-04T09:11:11.6645138Z cudagraph partition due to non gpu ops 2025-12-04T09:11:11.6645400Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:11.6645884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:11:11.6646412Z output_boxes.clip(results.image_size) 2025-12-04T09:11:11.6646807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:11:11.6647286Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:11:11.6647520Z 2025-12-04T09:11:11.6647608Z cudagraph partition due to non gpu ops 2025-12-04T09:11:11.6647887Z cudagraph partition due to non gpu ops 2025-12-04T09:11:11.6648144Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:11.6648733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:11:11.6649193Z output_boxes.clip(results.image_size) 2025-12-04T09:11:11.6649574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:11:11.6649988Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:11:11.6650152Z 2025-12-04T09:11:11.6650278Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:11.6650739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:11:11.6651200Z results = results[output_boxes.nonempty()] 2025-12-04T09:11:11.6651607Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T09:11:11.6652035Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T09:11:11.6652210Z 2025-12-04T09:11:12.7455436Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:12.7456054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:11:12.7456526Z results = results[output_boxes.nonempty()] 2025-12-04T09:11:12.7456695Z 2025-12-04T09:11:12.7456817Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:12.7457298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:11:12.7457765Z results = results[output_boxes.nonempty()] 2025-12-04T09:11:12.7457923Z 2025-12-04T09:11:12.7458019Z cudagraph partition due to non gpu ops 2025-12-04T09:11:12.7458265Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:12.7458731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:11:12.7459195Z output_boxes.clip(results.image_size) 2025-12-04T09:11:12.7459576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 191, in clip 2025-12-04T09:11:12.7460046Z assert torch.isfinite(self.tensor).all(), "Box tensor contains infinite or NaN!" 2025-12-04T09:11:12.7460281Z 2025-12-04T09:11:12.7460718Z cudagraph partition due to non gpu ops 2025-12-04T09:11:12.7460949Z cudagraph partition due to non gpu ops 2025-12-04T09:11:12.7461190Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:12.7461654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 56, in detector_postprocess 2025-12-04T09:11:12.7462155Z output_boxes.clip(results.image_size) 2025-12-04T09:11:12.7462527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 197, in clip 2025-12-04T09:11:12.7462931Z self.tensor = torch.stack((x1, y1, x2, y2), dim=-1) 2025-12-04T09:11:12.7463099Z 2025-12-04T09:11:12.7463209Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:11:12.7463666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/modeling/postprocessing.py", line 58, in detector_postprocess 2025-12-04T09:11:12.7464102Z results = results[output_boxes.nonempty()] 2025-12-04T09:11:12.7464555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/detectron2/structures/boxes.py", line 212, in nonempty 2025-12-04T09:11:12.7464963Z keep = (widths > threshold) & (heights > threshold) 2025-12-04T09:11:12.7465122Z 2025-12-04T09:11:18.2771823Z Compilation time (from dynamo_timed): 58.445303336 2025-12-04T09:11:18.2772175Z pass 2025-12-04T09:11:18.2772479Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:11:18.2773553Z TIMING: gc:0.03013 entire_frame_compile:58.4453 _recursive_pre_grad_passes:0.02646 _recursive_joint_graph_passes:0.38279 _recursive_post_grad_passes:0.58233 async_compile.wait:7.98209 code_gen:25.81829 inductor_compile:31.74695 backend_compile:41.35172 total_wall_time:58.4453 2025-12-04T09:11:18.2774716Z STATS: call_* op count: 971 | FakeTensorMode.__torch_dispatch__:20095 | FakeTensor.__torch_dispatch__:12386 | ProxyTorchDispatchMode.__torch_dispatch__:5851 | attempt fast:51 | slow no contiguity match:40 | fast is_contiguous:11 2025-12-04T09:11:18.2775411Z Dynamo produced 29 graphs covering 971 ops with 24 graph breaks (4 unique) 2025-12-04T09:11:21.6308872Z /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. 2025-12-04T09:11:21.6309798Z import pynvml # type: ignore[import] 2025-12-04T09:11:23.9207754Z 2025-12-04T09:11:33.9888401Z loading model: 0it [00:00, ?it/s]W1204 09:11:33.987000 8110 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. 2025-12-04T09:11:51.8205701Z 2025-12-04T09:11:51.8206382Z loading model: 0it [00:27, ?it/s] 2025-12-04T09:11:51.8208183Z Traceback (most recent call last): 2025-12-04T09:11:51.8208570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 486, in 2025-12-04T09:11:51.8212531Z torchbench_main() 2025-12-04T09:11:51.8213002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in torchbench_main 2025-12-04T09:11:51.8213498Z main(TorchBenchmarkRunner(), original_dir) 2025-12-04T09:11:51.8213865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3730, in main 2025-12-04T09:11:51.8217895Z process_entry(0, runner, original_dir, args) 2025-12-04T09:11:51.8218391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3655, in process_entry 2025-12-04T09:11:51.8218812Z result = run(runner, args, original_dir) 2025-12-04T09:11:51.8219256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4359, in run 2025-12-04T09:11:51.8226807Z assert marked, f"nothing in example_inputs had a dim with {batch_size}" 2025-12-04T09:11:51.8227244Z AssertionError: nothing in example_inputs had a dim with 4 2025-12-04T09:11:52.8884378Z Run failed with return code: 1 2025-12-04T09:11:52.8884674Z Output: None 2025-12-04T09:11:52.8884865Z Error: None 2025-12-04T09:11:53.1719737Z /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. 2025-12-04T09:11:53.1721634Z import pynvml # type: ignore[import] 2025-12-04T09:11:55.4755331Z 2025-12-04T09:12:08.7763654Z loading model: 0it [00:00, ?it/s]W1204 09:12:08.775000 8146 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. 2025-12-04T09:12:10.6639732Z 2025-12-04T09:12:10.6640235Z loading model: 0it [00:15, ?it/s] 2025-12-04T09:12:10.6640575Z Traceback (most recent call last): 2025-12-04T09:12:10.6640954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 486, in 2025-12-04T09:12:10.6643631Z torchbench_main() 2025-12-04T09:12:10.6644025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in torchbench_main 2025-12-04T09:12:10.6644433Z main(TorchBenchmarkRunner(), original_dir) 2025-12-04T09:12:10.6644766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3730, in main 2025-12-04T09:12:10.6648334Z process_entry(0, runner, original_dir, args) 2025-12-04T09:12:10.6648727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3655, in process_entry 2025-12-04T09:12:10.6652110Z result = run(runner, args, original_dir) 2025-12-04T09:12:10.6652529Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4359, in run 2025-12-04T09:12:10.6657193Z assert marked, f"nothing in example_inputs had a dim with {batch_size}" 2025-12-04T09:12:10.6657625Z AssertionError: nothing in example_inputs had a dim with 4 2025-12-04T09:12:11.7581399Z Run failed with return code: 1 2025-12-04T09:12:11.7581704Z Output: None 2025-12-04T09:12:11.7581915Z Error: None 2025-12-04T09:12:12.0818726Z /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. 2025-12-04T09:12:12.0819612Z import pynvml # type: ignore[import] 2025-12-04T09:12:14.4021688Z 2025-12-04T09:12:21.4027352Z loading model: 0it [00:00, ?it/s]W1204 09:12:21.401000 8182 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. 2025-12-04T09:12:39.4940159Z 2025-12-04T09:12:39.4940835Z loading model: 0it [00:25, ?it/s] 2025-12-04T09:12:39.4941130Z Traceback (most recent call last): 2025-12-04T09:12:39.4941513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 486, in 2025-12-04T09:12:39.4941909Z torchbench_main() 2025-12-04T09:12:39.4942261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in torchbench_main 2025-12-04T09:12:39.4942649Z main(TorchBenchmarkRunner(), original_dir) 2025-12-04T09:12:39.4943007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3730, in main 2025-12-04T09:12:39.4945442Z process_entry(0, runner, original_dir, args) 2025-12-04T09:12:39.4946188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3655, in process_entry 2025-12-04T09:12:39.4949942Z result = run(runner, args, original_dir) 2025-12-04T09:12:39.4950928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4359, in run 2025-12-04T09:12:39.4960192Z assert marked, f"nothing in example_inputs had a dim with {batch_size}" 2025-12-04T09:12:39.4960747Z AssertionError: nothing in example_inputs had a dim with 4 2025-12-04T09:12:40.5067485Z Run failed with return code: 1 2025-12-04T09:12:40.5067940Z Output: None 2025-12-04T09:12:40.5068131Z Error: None 2025-12-04T09:12:40.7917106Z /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. 2025-12-04T09:12:40.7918110Z import pynvml # type: ignore[import] 2025-12-04T09:12:43.1035498Z 2025-12-04T09:12:52.8971181Z loading model: 0it [00:00, ?it/s]W1204 09:12:52.895000 8216 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. 2025-12-04T09:12:54.8300687Z 2025-12-04T09:12:54.8301174Z loading model: 0it [00:11, ?it/s] 2025-12-04T09:12:54.8304056Z Traceback (most recent call last): 2025-12-04T09:12:54.8304556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 486, in 2025-12-04T09:12:54.8310077Z torchbench_main() 2025-12-04T09:12:54.8310522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in torchbench_main 2025-12-04T09:12:54.8311841Z main(TorchBenchmarkRunner(), original_dir) 2025-12-04T09:12:54.8312273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3730, in main 2025-12-04T09:12:54.8312647Z process_entry(0, runner, original_dir, args) 2025-12-04T09:12:54.8313079Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3655, in process_entry 2025-12-04T09:12:54.8315608Z result = run(runner, args, original_dir) 2025-12-04T09:12:54.8315962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4359, in run 2025-12-04T09:12:54.8319664Z assert marked, f"nothing in example_inputs had a dim with {batch_size}" 2025-12-04T09:12:54.8320080Z AssertionError: nothing in example_inputs had a dim with 4 2025-12-04T09:12:55.8179932Z Run failed with return code: 1 2025-12-04T09:12:55.8180216Z Output: None 2025-12-04T09:12:55.8180473Z Error: None 2025-12-04T09:12:56.0998476Z /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. 2025-12-04T09:12:56.0999403Z import pynvml # type: ignore[import] 2025-12-04T09:12:58.3837836Z 2025-12-04T09:13:05.1804619Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:13:05.1805005Z loading model: 0it [00:06, ?it/s] 2025-12-04T09:13:05.1805754Z cpu eval dlrm 2025-12-04T09:13:06.1215065Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:13:06.4491306Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:13:06.7837153Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:13:09.3026130Z cudagraph partition due to non gpu ops 2025-12-04T09:13:09.3026501Z cudagraph partition due to non gpu ops 2025-12-04T09:13:09.3026767Z cudagraph partition due to non gpu ops 2025-12-04T09:13:09.3026995Z cudagraph partition due to non gpu ops 2025-12-04T09:13:09.3027229Z cudagraph partition due to non gpu ops 2025-12-04T09:13:09.3027453Z cudagraph partition due to non gpu ops 2025-12-04T09:13:09.3027691Z cudagraph partition due to non gpu ops 2025-12-04T09:13:09.3028237Z cudagraph partition due to non gpu ops 2025-12-04T09:13:09.3028516Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3028936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3029315Z return mod(*inputs) 2025-12-04T09:13:09.3029725Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3030112Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3030716Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward 2025-12-04T09:13:09.3031103Z x = self.apply_mlp(dense_x, self.bot_l) 2025-12-04T09:13:09.3031446Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:13:09.3031772Z return layers(x) 2025-12-04T09:13:09.3031894Z 2025-12-04T09:13:09.3032016Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3032465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3032810Z return mod(*inputs) 2025-12-04T09:13:09.3033105Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3033457Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3033832Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-12-04T09:13:09.3034208Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-12-04T09:13:09.3034562Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-12-04T09:13:09.3034999Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-12-04T09:13:09.3035185Z 2025-12-04T09:13:09.3035299Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3035703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3036063Z return mod(*inputs) 2025-12-04T09:13:09.3036365Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3036725Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3037100Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-12-04T09:13:09.3037475Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-12-04T09:13:09.3037827Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-12-04T09:13:09.3038214Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-12-04T09:13:09.3038402Z 2025-12-04T09:13:09.3038518Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3038911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3039312Z return mod(*inputs) 2025-12-04T09:13:09.3039623Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3039998Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3040374Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-12-04T09:13:09.3040744Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-12-04T09:13:09.3041308Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-12-04T09:13:09.3041705Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-12-04T09:13:09.3041882Z 2025-12-04T09:13:09.3041995Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3042398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3042762Z return mod(*inputs) 2025-12-04T09:13:09.3043059Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3043459Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3043846Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-12-04T09:13:09.3044213Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-12-04T09:13:09.3044550Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-12-04T09:13:09.3044964Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-12-04T09:13:09.3045139Z 2025-12-04T09:13:09.3045256Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3045643Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3045995Z return mod(*inputs) 2025-12-04T09:13:09.3046291Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3046652Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3047028Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-12-04T09:13:09.3047424Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-12-04T09:13:09.3047770Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-12-04T09:13:09.3048156Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-12-04T09:13:09.3048336Z 2025-12-04T09:13:09.3048452Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3048843Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3049211Z return mod(*inputs) 2025-12-04T09:13:09.3049528Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3049891Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3050271Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-12-04T09:13:09.3050636Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-12-04T09:13:09.3050974Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-12-04T09:13:09.3051338Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-12-04T09:13:09.3051511Z 2025-12-04T09:13:09.3051631Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3052018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3052366Z return mod(*inputs) 2025-12-04T09:13:09.3052654Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3053008Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3053370Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-12-04T09:13:09.3053724Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-12-04T09:13:09.3054055Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-12-04T09:13:09.3054409Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-12-04T09:13:09.3054585Z 2025-12-04T09:13:09.3054693Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3055063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3055402Z return mod(*inputs) 2025-12-04T09:13:09.3055680Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3056028Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3056394Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward 2025-12-04T09:13:09.3056739Z ly = self.apply_emb(lS_o, lS_i, self.emb_l) 2025-12-04T09:13:09.3057070Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb 2025-12-04T09:13:09.3057427Z V = E(sparse_index_group_batch, sparse_offset_group_batch) 2025-12-04T09:13:09.3057597Z 2025-12-04T09:13:09.3057733Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3058099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3058436Z return mod(*inputs) 2025-12-04T09:13:09.3058722Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3059088Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3059460Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward 2025-12-04T09:13:09.3059815Z x = self.apply_mlp(dense_x, self.bot_l) 2025-12-04T09:13:09.3060149Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:13:09.3060458Z return layers(x) 2025-12-04T09:13:09.3060572Z 2025-12-04T09:13:09.3060681Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3061055Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3061402Z return mod(*inputs) 2025-12-04T09:13:09.3061690Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3062034Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3062400Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward 2025-12-04T09:13:09.3062746Z x = self.apply_mlp(dense_x, self.bot_l) 2025-12-04T09:13:09.3063075Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:13:09.3063389Z return layers(x) 2025-12-04T09:13:09.3063492Z 2025-12-04T09:13:09.3063644Z cudagraph partition due to non gpu ops 2025-12-04T09:13:09.3063870Z cudagraph partition due to non gpu ops 2025-12-04T09:13:09.3064091Z cudagraph partition due to non gpu ops 2025-12-04T09:13:09.3064307Z cudagraph partition due to non gpu ops 2025-12-04T09:13:09.3064528Z cudagraph partition due to non gpu ops 2025-12-04T09:13:09.3064740Z cudagraph partition due to non gpu ops 2025-12-04T09:13:09.3064952Z cudagraph partition due to non gpu ops 2025-12-04T09:13:09.3065170Z cudagraph partition due to non gpu ops 2025-12-04T09:13:09.3065408Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3065788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3066133Z return mod(*inputs) 2025-12-04T09:13:09.3066416Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3066768Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3067142Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward 2025-12-04T09:13:09.3067498Z z = self.interact_features(x, ly) 2025-12-04T09:13:09.3067837Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 318, in interact_features 2025-12-04T09:13:09.3068234Z T = torch.cat([x] + ly, dim=1).view((batch_size, -1, d)) 2025-12-04T09:13:09.3068405Z 2025-12-04T09:13:09.3068522Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3068890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3069228Z return mod(*inputs) 2025-12-04T09:13:09.3069522Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3069874Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3070237Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward 2025-12-04T09:13:09.3070587Z z = self.interact_features(x, ly) 2025-12-04T09:13:09.3070928Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 320, in interact_features 2025-12-04T09:13:09.3071281Z Z = torch.bmm(T, torch.transpose(T, 1, 2)) 2025-12-04T09:13:09.3071440Z 2025-12-04T09:13:09.3071576Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3071948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3072285Z return mod(*inputs) 2025-12-04T09:13:09.3072569Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3072939Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3073306Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward 2025-12-04T09:13:09.3073647Z z = self.interact_features(x, ly) 2025-12-04T09:13:09.3073988Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 337, in interact_features 2025-12-04T09:13:09.3074323Z Zflat = Z[:, li, lj] 2025-12-04T09:13:09.3074435Z 2025-12-04T09:13:09.3074549Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3074913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3075297Z return mod(*inputs) 2025-12-04T09:13:09.3075583Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3075990Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3076360Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward 2025-12-04T09:13:09.3076767Z z = self.interact_features(x, ly) 2025-12-04T09:13:09.3077115Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 339, in interact_features 2025-12-04T09:13:09.3077593Z R = torch.cat([x] + [Zflat], dim=1) 2025-12-04T09:13:09.3077741Z 2025-12-04T09:13:09.3077877Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3078251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3078596Z return mod(*inputs) 2025-12-04T09:13:09.3078890Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3079247Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3079626Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward 2025-12-04T09:13:09.3079978Z p = self.apply_mlp(z, self.top_l) 2025-12-04T09:13:09.3080315Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:13:09.3080644Z return layers(x) 2025-12-04T09:13:09.3080751Z 2025-12-04T09:13:09.3080872Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3081348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3081705Z return mod(*inputs) 2025-12-04T09:13:09.3082003Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3082354Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3082742Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward 2025-12-04T09:13:09.3083105Z p = self.apply_mlp(z, self.top_l) 2025-12-04T09:13:09.3083441Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:13:09.3083774Z return layers(x) 2025-12-04T09:13:09.3083895Z 2025-12-04T09:13:09.3084010Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3084427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3084767Z return mod(*inputs) 2025-12-04T09:13:09.3085069Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3085429Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3085802Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward 2025-12-04T09:13:09.3086160Z p = self.apply_mlp(z, self.top_l) 2025-12-04T09:13:09.3086527Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:13:09.3086863Z return layers(x) 2025-12-04T09:13:09.3086972Z 2025-12-04T09:13:09.3087081Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3087460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3087841Z return mod(*inputs) 2025-12-04T09:13:09.3088129Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3088486Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3088864Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward 2025-12-04T09:13:09.3089218Z p = self.apply_mlp(z, self.top_l) 2025-12-04T09:13:09.3089538Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:13:09.3089883Z return layers(x) 2025-12-04T09:13:09.3089992Z 2025-12-04T09:13:09.3090112Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3090489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3090834Z return mod(*inputs) 2025-12-04T09:13:09.3091131Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3091493Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3091863Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward 2025-12-04T09:13:09.3092219Z p = self.apply_mlp(z, self.top_l) 2025-12-04T09:13:09.3092572Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:13:09.3092901Z return layers(x) 2025-12-04T09:13:09.3093015Z 2025-12-04T09:13:09.3093126Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3093519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3093882Z return mod(*inputs) 2025-12-04T09:13:09.3094187Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3094539Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3094914Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward 2025-12-04T09:13:09.3095255Z p = self.apply_mlp(z, self.top_l) 2025-12-04T09:13:09.3095580Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:13:09.3095896Z return layers(x) 2025-12-04T09:13:09.3096000Z 2025-12-04T09:13:09.3096114Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3096482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3096820Z return mod(*inputs) 2025-12-04T09:13:09.3097116Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3097457Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3097827Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward 2025-12-04T09:13:09.3098177Z p = self.apply_mlp(z, self.top_l) 2025-12-04T09:13:09.3098507Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:13:09.3098828Z return layers(x) 2025-12-04T09:13:09.3098941Z 2025-12-04T09:13:09.3099053Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:13:09.3099446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:13:09.3099789Z return mod(*inputs) 2025-12-04T09:13:09.3100088Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward 2025-12-04T09:13:09.3100452Z return self.sequential_forward(dense_x, lS_o, lS_i) 2025-12-04T09:13:09.3100848Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward 2025-12-04T09:13:09.3101188Z p = self.apply_mlp(z, self.top_l) 2025-12-04T09:13:09.3101509Z File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp 2025-12-04T09:13:09.3101846Z return layers(x) 2025-12-04T09:13:09.3101947Z 2025-12-04T09:13:18.4626893Z Compilation time (from dynamo_timed): 10.890582708 2025-12-04T09:13:18.4627212Z pass 2025-12-04T09:13:18.4627536Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:13:18.4637878Z TIMING: _recursive_pre_grad_passes:0.00421 _recursive_joint_graph_passes:0.33635 _recursive_post_grad_passes:0.01874 async_compile.wait:0.81927 code_gen:9.03266 inductor_compile:9.19509 backend_compile:10.40814 gc:0.00093 entire_frame_compile:10.89058 total_wall_time:10.89058 2025-12-04T09:13:18.4638922Z STATS: call_* op count: 36 | FakeTensorMode.__torch_dispatch__:1204 | FakeTensor.__torch_dispatch__:365 | ProxyTorchDispatchMode.__torch_dispatch__:192 2025-12-04T09:13:18.4639690Z Dynamo produced 1 graphs covering 36 ops with 0 graph breaks (0 unique) 2025-12-04T09:13:20.0906603Z /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. 2025-12-04T09:13:20.0907524Z import pynvml # type: ignore[import] 2025-12-04T09:13:22.3732640Z 2025-12-04T09:13:24.8247763Z 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 2025-12-04T09:13:25.1551224Z 2025-12-04T09:13:25.1551581Z 2025-12-04T09:13:25.2573304Z 0% 0/102021912 [00:00 2025-12-04T09:14:28.9494644Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:14:28.9494850Z 2025-12-04T09:14:28.9494968Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9495456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:14:28.9495924Z feat_concat = self.fpn(feats) 2025-12-04T09:14:28.9496379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward 2025-12-04T09:14:28.9496924Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:14:28.9497455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in 2025-12-04T09:14:28.9497986Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:14:28.9498185Z 2025-12-04T09:14:28.9498298Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9498777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:14:28.9499262Z feat_concat = self.fpn(feats) 2025-12-04T09:14:28.9499716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward 2025-12-04T09:14:28.9500232Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:14:28.9500758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in 2025-12-04T09:14:28.9501293Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:14:28.9501502Z 2025-12-04T09:14:28.9501608Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9502104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:14:28.9502568Z feat_concat = self.fpn(feats) 2025-12-04T09:14:28.9503015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward 2025-12-04T09:14:28.9503734Z out.append(self.upsample(out[-1]) + t) 2025-12-04T09:14:28.9503931Z 2025-12-04T09:14:28.9504051Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9504542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:14:28.9505006Z feat_concat = self.fpn(feats) 2025-12-04T09:14:28.9505457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward 2025-12-04T09:14:28.9505979Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:14:28.9506474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in 2025-12-04T09:14:28.9506980Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:14:28.9507171Z 2025-12-04T09:14:28.9507280Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9507805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:14:28.9508228Z feat_concat = self.fpn(feats) 2025-12-04T09:14:28.9508652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward 2025-12-04T09:14:28.9509128Z out.append(self.upsample(out[-1]) + t) 2025-12-04T09:14:28.9509270Z 2025-12-04T09:14:28.9509373Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9509838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:14:28.9510276Z feat_concat = self.fpn(feats) 2025-12-04T09:14:28.9510706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in forward 2025-12-04T09:14:28.9511219Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:14:28.9511777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 84, in 2025-12-04T09:14:28.9512298Z _x: list[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)] 2025-12-04T09:14:28.9512500Z 2025-12-04T09:14:28.9512615Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9513103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:14:28.9513557Z feat_concat = self.fpn(feats) 2025-12-04T09:14:28.9514025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 87, in forward 2025-12-04T09:14:28.9514490Z out.append(self.upsample(out[-1]) + t) 2025-12-04T09:14:28.9514641Z 2025-12-04T09:14:28.9514747Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9515235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:14:28.9515682Z feat_concat = self.fpn(feats) 2025-12-04T09:14:28.9516125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward 2025-12-04T09:14:28.9516704Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:14:28.9517223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in 2025-12-04T09:14:28.9517737Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:14:28.9517930Z 2025-12-04T09:14:28.9518034Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9518525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:14:28.9518985Z feat_concat = self.fpn(feats) 2025-12-04T09:14:28.9519419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward 2025-12-04T09:14:28.9519930Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:14:28.9520450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in 2025-12-04T09:14:28.9520975Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:14:28.9521227Z 2025-12-04T09:14:28.9521343Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9521849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:14:28.9522324Z feat_concat = self.fpn(feats) 2025-12-04T09:14:28.9522804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward 2025-12-04T09:14:28.9523333Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:14:28.9523865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in 2025-12-04T09:14:28.9524420Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:14:28.9524613Z 2025-12-04T09:14:28.9524737Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9525252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:14:28.9525732Z feat_concat = self.fpn(feats) 2025-12-04T09:14:28.9526202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward 2025-12-04T09:14:28.9526734Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:14:28.9527263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in 2025-12-04T09:14:28.9527791Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:14:28.9527977Z 2025-12-04T09:14:28.9528094Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9528611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:14:28.9529083Z feat_concat = self.fpn(feats) 2025-12-04T09:14:28.9529536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward 2025-12-04T09:14:28.9530050Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:14:28.9530565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in 2025-12-04T09:14:28.9531084Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:14:28.9531277Z 2025-12-04T09:14:28.9531386Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9531880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:14:28.9532336Z feat_concat = self.fpn(feats) 2025-12-04T09:14:28.9532786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward 2025-12-04T09:14:28.9533299Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:14:28.9533824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in 2025-12-04T09:14:28.9534338Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:14:28.9534531Z 2025-12-04T09:14:28.9534642Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9535144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:14:28.9535606Z feat_concat = self.fpn(feats) 2025-12-04T09:14:28.9536052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward 2025-12-04T09:14:28.9536554Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:14:28.9537068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in 2025-12-04T09:14:28.9537622Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:14:28.9537806Z 2025-12-04T09:14:28.9537913Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9538404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:14:28.9538889Z feat_concat = self.fpn(feats) 2025-12-04T09:14:28.9539341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in forward 2025-12-04T09:14:28.9539847Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:14:28.9540370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 90, in 2025-12-04T09:14:28.9540894Z out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])] 2025-12-04T09:14:28.9541094Z 2025-12-04T09:14:28.9541211Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9541693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward 2025-12-04T09:14:28.9542149Z feat_concat = self.fpn(feats) 2025-12-04T09:14:28.9542594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 92, in forward 2025-12-04T09:14:28.9543053Z return torch.cat(out, dim=1) 2025-12-04T09:14:28.9543189Z 2025-12-04T09:14:28.9543275Z cudagraph partition due to non gpu ops 2025-12-04T09:14:28.9543545Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9544036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward 2025-12-04T09:14:28.9544497Z logits = self.prob_head(feat_concat) 2025-12-04T09:14:28.9544648Z 2025-12-04T09:14:28.9544756Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9545246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward 2025-12-04T09:14:28.9545727Z logits = self.prob_head(feat_concat) 2025-12-04T09:14:28.9545868Z 2025-12-04T09:14:28.9545974Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9546473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward 2025-12-04T09:14:28.9546947Z logits = self.prob_head(feat_concat) 2025-12-04T09:14:28.9547086Z 2025-12-04T09:14:28.9547202Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9547691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 203, in forward 2025-12-04T09:14:28.9548160Z logits = self.prob_head(feat_concat) 2025-12-04T09:14:28.9548302Z 2025-12-04T09:14:28.9548395Z cudagraph partition due to non gpu ops 2025-12-04T09:14:28.9548639Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:14:28.9549138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 211, in forward 2025-12-04T09:14:28.9549647Z prob_map = _bf16_to_float32(torch.sigmoid(logits)) 2025-12-04T09:14:28.9549810Z 2025-12-04T09:14:51.6988935Z Compilation time (from dynamo_timed): 32.355654924 2025-12-04T09:14:51.6992571Z pass 2025-12-04T09:14:51.6993211Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:14:51.6994660Z TIMING: gc:0.00144 entire_frame_compile:32.35565 _recursive_pre_grad_passes:0.00792 _recursive_joint_graph_passes:0.19853 _recursive_post_grad_passes:0.11601 async_compile.wait:2.2044 code_gen:17.04995 inductor_compile:19.54584 backend_compile:23.7088 total_wall_time:32.35565 2025-12-04T09:14:51.6996621Z STATS: call_* op count: 215 | FakeTensorMode.__torch_dispatch__:10726 | FakeTensor.__torch_dispatch__:7820 | ProxyTorchDispatchMode.__torch_dispatch__:3990 2025-12-04T09:14:51.6997557Z Dynamo produced 1 graphs covering 215 ops with 3 graph breaks (2 unique) 2025-12-04T09:14:53.9268119Z /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. 2025-12-04T09:14:53.9269314Z import pynvml # type: ignore[import] 2025-12-04T09:14:56.1924918Z 2025-12-04T09:14:58.7557757Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:14:58.7558063Z loading model: 0it [00:02, ?it/s] 2025-12-04T09:14:58.7560264Z cpu eval doctr_reco_predictor 2025-12-04T09:14:58.9960893Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:14:59.0970514Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:14:59.1981878Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:15:06.7093576Z cudagraph partition due to non gpu ops 2025-12-04T09:15:06.7094096Z cudagraph partition due to non gpu ops 2025-12-04T09:15:06.7094455Z cudagraph partition due to non gpu ops 2025-12-04T09:15:06.7094834Z cudagraph partition due to non gpu ops 2025-12-04T09:15:06.7095272Z cudagraph partition due to non gpu ops 2025-12-04T09:15:06.7095616Z cudagraph partition due to non gpu ops 2025-12-04T09:15:06.7096343Z cudagraph partition due to non gpu ops 2025-12-04T09:15:06.7096701Z cudagraph partition due to non gpu ops 2025-12-04T09:15:06.7097046Z cudagraph partition due to non gpu ops 2025-12-04T09:15:06.7097394Z cudagraph partition due to non gpu ops 2025-12-04T09:15:06.7097740Z cudagraph partition due to non gpu ops 2025-12-04T09:15:06.7098094Z cudagraph partition due to non gpu ops 2025-12-04T09:15:06.7098451Z cudagraph partition due to non gpu ops 2025-12-04T09:15:06.7098799Z cudagraph partition due to non gpu ops 2025-12-04T09:15:06.7099192Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7099972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7100689Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7100922Z 2025-12-04T09:15:06.7101106Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7101876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7102587Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7102815Z 2025-12-04T09:15:06.7102989Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7103886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7104583Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7104832Z 2025-12-04T09:15:06.7105002Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7105739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7106418Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7106638Z 2025-12-04T09:15:06.7106808Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7107544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7108241Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7108467Z 2025-12-04T09:15:06.7108634Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7109549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7110251Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7110466Z 2025-12-04T09:15:06.7110692Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7111458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7112238Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7112465Z 2025-12-04T09:15:06.7112636Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7113361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7114058Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7114265Z 2025-12-04T09:15:06.7114424Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7115194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7116019Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7116261Z 2025-12-04T09:15:06.7116443Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7117230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7117981Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7118218Z 2025-12-04T09:15:06.7118412Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7119161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7119960Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7120185Z 2025-12-04T09:15:06.7120365Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7121268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7122022Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7122271Z 2025-12-04T09:15:06.7122469Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7123269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7123996Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7124243Z 2025-12-04T09:15:06.7124431Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7125237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7126001Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7126233Z 2025-12-04T09:15:06.7126417Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7127213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7127959Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7128205Z 2025-12-04T09:15:06.7128398Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7129209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7129932Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7130171Z 2025-12-04T09:15:06.7130365Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7131164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7131902Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7132150Z 2025-12-04T09:15:06.7132333Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7133129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7133945Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7134201Z 2025-12-04T09:15:06.7134386Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7135202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7136019Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7136256Z 2025-12-04T09:15:06.7136446Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7137264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7138024Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7138259Z 2025-12-04T09:15:06.7138445Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7139228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7140040Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7140281Z 2025-12-04T09:15:06.7140481Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7141284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7142046Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7142290Z 2025-12-04T09:15:06.7142480Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7143293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7144036Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7144376Z 2025-12-04T09:15:06.7144565Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7145382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7146130Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7146368Z 2025-12-04T09:15:06.7146555Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7147373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7148142Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7148388Z 2025-12-04T09:15:06.7148571Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7149389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7150153Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7150387Z 2025-12-04T09:15:06.7150588Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7151399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7152159Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7152410Z 2025-12-04T09:15:06.7152596Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7153395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7154142Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7154399Z 2025-12-04T09:15:06.7154589Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7155404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7156168Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7156409Z 2025-12-04T09:15:06.7156600Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7157416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7158181Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7158427Z 2025-12-04T09:15:06.7158696Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:06.7159518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/doctr/models/recognition/crnn/pytorch.py", line 208, in forward 2025-12-04T09:15:06.7160270Z features = self.feat_extractor(x) 2025-12-04T09:15:06.7160561Z 2025-12-04T09:15:17.9981644Z Compilation time (from dynamo_timed): 18.215368595 2025-12-04T09:15:17.9981945Z pass 2025-12-04T09:15:17.9982247Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:15:17.9983124Z TIMING: gc:0.00161 entire_frame_compile:18.21537 _recursive_pre_grad_passes:0.00459 _recursive_joint_graph_passes:0.15238 _recursive_post_grad_passes:0.03298 async_compile.wait:1.02898 code_gen:11.00648 inductor_compile:11.7373 backend_compile:15.296 total_wall_time:18.21537 2025-12-04T09:15:17.9984199Z STATS: call_* op count: 46 | FakeTensorMode.__torch_dispatch__:3525 | attempt fast:118 | fast is_contiguous:118 | FakeTensor.__torch_dispatch__:1331 | ProxyTorchDispatchMode.__torch_dispatch__:722 2025-12-04T09:15:17.9985518Z Dynamo produced 1 graphs covering 46 ops with 1 graph breaks (1 unique) 2025-12-04T09:15:20.1450782Z /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. 2025-12-04T09:15:20.1451719Z import pynvml # type: ignore[import] 2025-12-04T09:15:22.4461483Z 2025-12-04T09:15:22.5761644Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality. 2025-12-04T09:15:22.5762459Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade. 2025-12-04T09:15:22.5763121Z 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. 2025-12-04T09:15:22.5763760Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information. 2025-12-04T09:15:23.8410434Z 2025-12-04T09:15:23.8411010Z loading model: 0it [00:01, ?it/s] 2025-12-04T09:15:23.8411355Z cpu eval drq 2025-12-04T09:15:23.8550665Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:15:23.8608060Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:15:23.8660630Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:15:26.0635434Z cudagraph partition due to non gpu ops 2025-12-04T09:15:26.0635759Z cudagraph partition due to non gpu ops 2025-12-04T09:15:26.0635997Z cudagraph partition due to non gpu ops 2025-12-04T09:15:26.0636274Z cudagraph partition due to non gpu ops 2025-12-04T09:15:26.0636602Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:26.0637034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:15:26.0637427Z return mod(*inputs) 2025-12-04T09:15:26.0637739Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-12-04T09:15:26.0638078Z obs = self.encoder(obs, detach=detach_encoder) 2025-12-04T09:15:26.0638486Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-12-04T09:15:26.0638796Z h = self.forward_conv(obs) 2025-12-04T09:15:26.0639112Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv 2025-12-04T09:15:26.0639435Z conv = torch.relu(self.convs[0](obs)) 2025-12-04T09:15:26.0639599Z 2025-12-04T09:15:26.0639719Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:26.0640416Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:15:26.0640779Z return mod(*inputs) 2025-12-04T09:15:26.0641056Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-12-04T09:15:26.0641766Z obs = self.encoder(obs, detach=detach_encoder) 2025-12-04T09:15:26.0642086Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-12-04T09:15:26.0642473Z h = self.forward_conv(obs) 2025-12-04T09:15:26.0642761Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-12-04T09:15:26.0643080Z conv = torch.relu(self.convs[i](conv)) 2025-12-04T09:15:26.0643220Z 2025-12-04T09:15:26.0643332Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:26.0643716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:15:26.0644061Z return mod(*inputs) 2025-12-04T09:15:26.0644316Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-12-04T09:15:26.0644738Z obs = self.encoder(obs, detach=detach_encoder) 2025-12-04T09:15:26.0645038Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-12-04T09:15:26.0645330Z h = self.forward_conv(obs) 2025-12-04T09:15:26.0645614Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-12-04T09:15:26.0645932Z conv = torch.relu(self.convs[i](conv)) 2025-12-04T09:15:26.0646070Z 2025-12-04T09:15:26.0646186Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:26.0646573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:15:26.0646915Z return mod(*inputs) 2025-12-04T09:15:26.0647226Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-12-04T09:15:26.0647545Z obs = self.encoder(obs, detach=detach_encoder) 2025-12-04T09:15:26.0647873Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-12-04T09:15:26.0648166Z h = self.forward_conv(obs) 2025-12-04T09:15:26.0648457Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-12-04T09:15:26.0648767Z conv = torch.relu(self.convs[i](conv)) 2025-12-04T09:15:26.0648913Z 2025-12-04T09:15:26.0649022Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:26.0649413Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:15:26.0649782Z return mod(*inputs) 2025-12-04T09:15:26.0650035Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-12-04T09:15:26.0650350Z obs = self.encoder(obs, detach=detach_encoder) 2025-12-04T09:15:26.0650660Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward 2025-12-04T09:15:26.0650935Z h = self.forward_conv(obs) 2025-12-04T09:15:26.0651215Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv 2025-12-04T09:15:26.0651524Z conv = torch.relu(self.convs[i](conv)) 2025-12-04T09:15:26.0651666Z 2025-12-04T09:15:26.0651785Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:26.0652161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:15:26.0652506Z return mod(*inputs) 2025-12-04T09:15:26.0652765Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-12-04T09:15:26.0653088Z obs = self.encoder(obs, detach=detach_encoder) 2025-12-04T09:15:26.0653426Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 61, in forward 2025-12-04T09:15:26.0653707Z out = self.head(h) 2025-12-04T09:15:26.0653814Z 2025-12-04T09:15:26.0653929Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:26.0654289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:15:26.0654650Z return mod(*inputs) 2025-12-04T09:15:26.0654927Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward 2025-12-04T09:15:26.0655233Z obs = self.encoder(obs, detach=detach_encoder) 2025-12-04T09:15:26.0655532Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 63, in forward 2025-12-04T09:15:26.0655814Z out = torch.tanh(out) 2025-12-04T09:15:26.0655929Z 2025-12-04T09:15:26.0656045Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:26.0656439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:15:26.0656778Z return mod(*inputs) 2025-12-04T09:15:26.0657037Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-12-04T09:15:26.0657351Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-12-04T09:15:26.0657512Z 2025-12-04T09:15:26.0657622Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:26.0658011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:15:26.0658384Z return mod(*inputs) 2025-12-04T09:15:26.0658637Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-12-04T09:15:26.0658950Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-12-04T09:15:26.0659099Z 2025-12-04T09:15:26.0659215Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:26.0659583Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:15:26.0659924Z return mod(*inputs) 2025-12-04T09:15:26.0660183Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-12-04T09:15:26.0660499Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-12-04T09:15:26.0660650Z 2025-12-04T09:15:26.0660780Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:26.0661164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:15:26.0661505Z return mod(*inputs) 2025-12-04T09:15:26.0661758Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-12-04T09:15:26.0662067Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-12-04T09:15:26.0662223Z 2025-12-04T09:15:26.0662332Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:26.0662706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:15:26.0663039Z return mod(*inputs) 2025-12-04T09:15:26.0663301Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward 2025-12-04T09:15:26.0663613Z mu, log_std = self.trunk(obs).chunk(2, dim=-1) 2025-12-04T09:15:26.0663764Z 2025-12-04T09:15:26.0663873Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:26.0664250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:15:26.0664592Z return mod(*inputs) 2025-12-04T09:15:26.0664858Z File "/torchbench/torchbenchmark/models/drq/drq.py", line 105, in forward 2025-12-04T09:15:26.0665137Z std = log_std.exp() 2025-12-04T09:15:26.0665253Z 2025-12-04T09:15:35.9270247Z Compilation time (from dynamo_timed): 11.585767962 2025-12-04T09:15:35.9270586Z pass 2025-12-04T09:15:35.9270905Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:15:35.9271775Z TIMING: _recursive_pre_grad_passes:0.00545 _recursive_joint_graph_passes:0.34458 _recursive_post_grad_passes:0.01925 async_compile.wait:0.82556 code_gen:9.49696 inductor_compile:9.62047 backend_compile:10.84825 gc:0.00037 entire_frame_compile:11.58577 total_wall_time:11.58577 2025-12-04T09:15:35.9272817Z STATS: call_* op count: 58 | FakeTensor.__torch_dispatch__:245 | FakeTensorMode.__torch_dispatch__:869 | ProxyTorchDispatchMode.__torch_dispatch__:127 2025-12-04T09:15:35.9273346Z Dynamo produced 2 graphs covering 58 ops with 0 graph breaks (0 unique) 2025-12-04T09:15:37.6627486Z /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. 2025-12-04T09:15:37.6628374Z import pynvml # type: ignore[import] 2025-12-04T09:15:39.9753817Z 2025-12-04T09:15:42.4094123Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:15:42.4094873Z loading model: 0it [00:02, ?it/s] 2025-12-04T09:15:42.4109353Z cpu eval fastNLP_Bert 2025-12-04T09:15:46.1549264Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:15:48.0171455Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:15:49.8586821Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:15:50.5563826Z W1204 09:15:50.555000 9583 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] Graph break from `Tensor.item()`, consider setting: 2025-12-04T09:15:50.5564947Z W1204 09:15:50.555000 9583 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] torch._dynamo.config.capture_scalar_outputs = True 2025-12-04T09:15:50.5565505Z W1204 09:15:50.555000 9583 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] or: 2025-12-04T09:15:50.5566031Z W1204 09:15:50.555000 9583 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-12-04T09:15:50.5566657Z W1204 09:15:50.555000 9583 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] to include these operations in the captured graph. 2025-12-04T09:15:50.5567248Z W1204 09:15:50.555000 9583 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] 2025-12-04T09:15:50.5567726Z W1204 09:15:50.555000 9583 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] Graph break: from user code at: 2025-12-04T09:15:50.5568446Z W1204 09:15:50.555000 9583 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:15:50.5569138Z W1204 09:15:50.555000 9583 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] return mod(*inputs) 2025-12-04T09:15:50.5569848Z W1204 09:15:50.555000 9583 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 2025-12-04T09:15:50.5570611Z W1204 09:15:50.555000 9583 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] sequence_output = self.bert(words) 2025-12-04T09:15:50.5571346Z W1204 09:15:50.555000 9583 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 2025-12-04T09:15:50.5572053Z W1204 09:15:50.555000 9583 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] outputs = self.model(words) 2025-12-04T09:15:50.5572781Z W1204 09:15:50.555000 9583 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 2025-12-04T09:15:50.5607937Z W1204 09:15:50.555000 9583 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) 2025-12-04T09:15:50.5608627Z W1204 09:15:50.555000 9583 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] 2025-12-04T09:15:50.5609031Z W1204 09:15:50.555000 9583 site-packages/torch/_dynamo/variables/tensor.py:1073] [0/0] 2025-12-04T09:15:52.2137593Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:52.2138174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward 2025-12-04T09:15:52.2139170Z max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item() # 表示word piece的长度(包括padding) 2025-12-04T09:15:52.2139838Z 2025-12-04T09:15:52.2139966Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:15:52.2140418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/bert_embedding.py", line 441, in forward 2025-12-04T09:15:52.2140876Z seq_len = word_mask.sum(dim=-1) 2025-12-04T09:15:52.2141095Z 2025-12-04T09:16:07.4651544Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4652146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 512, in forward 2025-12-04T09:16:07.4652612Z embedding_output = self.embeddings(input_ids, token_type_ids) 2025-12-04T09:16:07.4653100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 242, in forward 2025-12-04T09:16:07.4653584Z embeddings = words_embeddings + position_embeddings + token_type_embeddings 2025-12-04T09:16:07.4653809Z 2025-12-04T09:16:07.4653924Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4654796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4655218Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4655622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4656076Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4656517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4657047Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4657499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4657910Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4658313Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:16:07.4658708Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:16:07.4658866Z 2025-12-04T09:16:07.4658977Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4659386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4659789Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4660174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4660592Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4661007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4661446Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4661865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4662263Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4662664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:16:07.4663047Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:16:07.4663193Z 2025-12-04T09:16:07.4663300Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4663698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4664090Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4664469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4664883Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4665367Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4665918Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4666385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4666842Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4667249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:16:07.4667646Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:16:07.4667800Z 2025-12-04T09:16:07.4667903Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4668127Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4668375Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4668798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4669206Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4669593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4670017Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4670447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4670882Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4671335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:16:07.4671769Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:16:07.4672186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:16:07.4672579Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4672738Z 2025-12-04T09:16:07.4672849Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4673261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4673666Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4674066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4674496Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4674925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4675355Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4675793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:16:07.4676194Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4676342Z 2025-12-04T09:16:07.4676460Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4676873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4677282Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4677683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4678104Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4678529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4678962Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4679391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:16:07.4679837Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:16:07.4680314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:16:07.4680727Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:16:07.4680894Z 2025-12-04T09:16:07.4681038Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4681539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4681943Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4682345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4682763Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4683185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:16:07.4683663Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:16:07.4684113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:16:07.4684513Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4684677Z 2025-12-04T09:16:07.4684792Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4685215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4685632Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4686053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4686487Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4686910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4687361Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4687804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4688223Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4688634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:16:07.4689026Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:16:07.4689189Z 2025-12-04T09:16:07.4689452Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4689875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4690278Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4690678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4691108Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4691529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4691974Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4692408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4692843Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4693244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:16:07.4693630Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:16:07.4693787Z 2025-12-04T09:16:07.4693898Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4694342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4694764Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4695168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4695603Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4696047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4696489Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4696926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4697348Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4697751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:16:07.4698172Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:16:07.4698337Z 2025-12-04T09:16:07.4698427Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4698661Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4698916Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4699326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4699739Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4700143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4700589Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4701012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4701449Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4701875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:16:07.4702296Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:16:07.4702704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:16:07.4703089Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4703232Z 2025-12-04T09:16:07.4703346Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4704030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4704447Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4704846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4705270Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4705687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4706121Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4706539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:16:07.4706932Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4707086Z 2025-12-04T09:16:07.4707196Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4707614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4708022Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4708411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4708829Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4709326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4709758Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4710180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:16:07.4710629Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:16:07.4711042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:16:07.4711438Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:16:07.4711610Z 2025-12-04T09:16:07.4711723Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4712139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4712547Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4712966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4713389Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4713813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:16:07.4714258Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:16:07.4714708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:16:07.4715102Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4715279Z 2025-12-04T09:16:07.4715400Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4715808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4716217Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4716625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4717054Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4717472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4717922Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4718364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4718786Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4719192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:16:07.4719592Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:16:07.4719749Z 2025-12-04T09:16:07.4719870Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4720278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4720684Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4721330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4721871Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4722291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4722741Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4723187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4723610Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4724053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:16:07.4724450Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:16:07.4724602Z 2025-12-04T09:16:07.4724724Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4725132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4725559Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4725955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4726380Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4726789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4727228Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4727690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4728104Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4728505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:16:07.4728907Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:16:07.4729064Z 2025-12-04T09:16:07.4729161Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4729385Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4729638Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4730080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4730496Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4730891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4731316Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4731738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4732168Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4732612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:16:07.4733046Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:16:07.4733463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:16:07.4733841Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4733995Z 2025-12-04T09:16:07.4734105Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4734524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4734935Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4735331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4735753Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4736182Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4736621Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4737034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:16:07.4737421Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4737566Z 2025-12-04T09:16:07.4737696Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4738142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4738554Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4738952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4739376Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4739805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4740227Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4740659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:16:07.4741081Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:16:07.4741485Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:16:07.4741908Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:16:07.4742073Z 2025-12-04T09:16:07.4742190Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4742598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4743005Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4743402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4743823Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4744252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:16:07.4744696Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:16:07.4745131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:16:07.4745522Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4745671Z 2025-12-04T09:16:07.4745779Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4746190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4746595Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4746985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4747405Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4747828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4748268Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4748699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4749114Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4749520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:16:07.4749915Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:16:07.4750076Z 2025-12-04T09:16:07.4750185Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4750597Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4751002Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4751394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4751816Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4752259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4752703Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4753133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4753554Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4753984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:16:07.4754376Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:16:07.4754521Z 2025-12-04T09:16:07.4754630Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4755044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4755451Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4755840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4756289Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4756712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4757156Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4757586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4758001Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4758442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:16:07.4758844Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:16:07.4759000Z 2025-12-04T09:16:07.4759088Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4759323Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4759587Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4759992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4760396Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4760796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4761337Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4761763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4762217Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4762656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:16:07.4763083Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:16:07.4763518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:16:07.4763916Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4764068Z 2025-12-04T09:16:07.4764186Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4764600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4765010Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4765472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4765897Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4766312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4766739Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4767193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:16:07.4767577Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4767732Z 2025-12-04T09:16:07.4767851Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4768271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4768663Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4769041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4769454Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4769857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4770276Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4770711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:16:07.4771120Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:16:07.4771522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:16:07.4771911Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:16:07.4772076Z 2025-12-04T09:16:07.4772185Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4772610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4773007Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4773395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4773808Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4774217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:16:07.4774650Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:16:07.4775067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:16:07.4775451Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4775595Z 2025-12-04T09:16:07.4775708Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4776109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4776499Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4776890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4777301Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4777702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4778134Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4778559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4778960Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4779348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:16:07.4779743Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:16:07.4779896Z 2025-12-04T09:16:07.4780013Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4780412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4780824Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4781215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4781624Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4782023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4782473Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4782894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4783296Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4783683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:16:07.4784064Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:16:07.4784231Z 2025-12-04T09:16:07.4784347Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4784750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4785138Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4785527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4785935Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4786334Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4786785Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4787224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4787623Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4788016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:16:07.4788404Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:16:07.4788554Z 2025-12-04T09:16:07.4788649Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4788866Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4789111Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4789509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4789903Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4790283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4790697Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4791104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4791533Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4791953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:16:07.4792362Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:16:07.4792776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:16:07.4793149Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4793301Z 2025-12-04T09:16:07.4793406Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4793810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4794198Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4794601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4795014Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4795423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4795855Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4796262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:16:07.4796642Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4796784Z 2025-12-04T09:16:07.4796906Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4797298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4797691Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4798078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4798512Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4798910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4799329Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4799746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:16:07.4800153Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:16:07.4800581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:16:07.4800992Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:16:07.4801282Z 2025-12-04T09:16:07.4801435Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4801859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4802266Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4802668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4803097Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4803699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:16:07.4804161Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:16:07.4804608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:16:07.4805007Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4805158Z 2025-12-04T09:16:07.4805270Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4805696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4806109Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4806502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4806927Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4807349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4807799Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4808232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4808649Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4809129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:16:07.4809542Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:16:07.4809703Z 2025-12-04T09:16:07.4809812Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4810225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4810671Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4811070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4811502Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4811934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4812393Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4812831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4813341Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4813752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:16:07.4814146Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:16:07.4814301Z 2025-12-04T09:16:07.4814414Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4814830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4815237Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4815711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4816145Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4816569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4817016Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4817447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4817870Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4818281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:16:07.4818692Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:16:07.4818849Z 2025-12-04T09:16:07.4818937Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4819171Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4819427Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4819822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4820218Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4820604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4821013Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4821411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4821838Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4822262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:16:07.4822692Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:16:07.4823105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:16:07.4823498Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4823649Z 2025-12-04T09:16:07.4823799Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4824217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4824610Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4825017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4825437Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4825854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4826289Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4826726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:16:07.4827109Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4827278Z 2025-12-04T09:16:07.4827387Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4827786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4828183Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4828565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4828981Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4829385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4829823Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4830236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:16:07.4830649Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:16:07.4831057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:16:07.4831450Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:16:07.4831607Z 2025-12-04T09:16:07.4831715Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4832119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4832514Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4832894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4833309Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4833719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:16:07.4834154Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:16:07.4834571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:16:07.4834954Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4835101Z 2025-12-04T09:16:07.4835220Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4835635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4836032Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4836429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4836853Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4837264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4837736Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4838176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4838592Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4838990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:16:07.4839421Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:16:07.4839577Z 2025-12-04T09:16:07.4839693Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4840108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4840503Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4840902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4841451Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4841873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4842320Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4842764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4843188Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4843595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:16:07.4844039Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:16:07.4844191Z 2025-12-04T09:16:07.4844310Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4844724Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4845132Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4845539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4845968Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4846386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4846837Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4847274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4847690Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4848096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:16:07.4848503Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:16:07.4848670Z 2025-12-04T09:16:07.4848758Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4848991Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4849237Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4849655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4850065Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4850458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4850895Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4851319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4851764Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4852225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:16:07.4852659Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:16:07.4853090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:16:07.4853502Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4853654Z 2025-12-04T09:16:07.4853765Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4854179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4854589Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4854980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4855406Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4855830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4856287Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4856704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:16:07.4857103Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4857253Z 2025-12-04T09:16:07.4857371Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4857780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4858196Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4858601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4859026Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4859441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4859874Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4860303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:16:07.4860731Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:16:07.4861155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:16:07.4861553Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:16:07.4861714Z 2025-12-04T09:16:07.4861833Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4862237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4862630Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4863027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4863452Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4863865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:16:07.4864317Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:16:07.4864759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:16:07.4865145Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4865290Z 2025-12-04T09:16:07.4865398Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4865803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4866199Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4866621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4867027Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4867435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4867906Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4868328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4868739Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4869142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:16:07.4869532Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:16:07.4869685Z 2025-12-04T09:16:07.4869795Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4870224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4870619Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4871006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4871416Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4871833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4872276Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4872726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4873147Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4873558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:16:07.4873952Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:16:07.4874101Z 2025-12-04T09:16:07.4874211Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4874625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4875030Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4875429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4875850Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4876267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4876706Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4877140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4877556Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4877965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:16:07.4878365Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:16:07.4878520Z 2025-12-04T09:16:07.4878609Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4878838Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4879091Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4879499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4879905Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4880308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4880760Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4881258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4881718Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4882186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:16:07.4882617Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:16:07.4883031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:16:07.4883432Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4883579Z 2025-12-04T09:16:07.4883700Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4884107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4884548Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4884952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4885382Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4885799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4886234Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4886690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:16:07.4887103Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4887253Z 2025-12-04T09:16:07.4887365Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4887782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4888190Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4888581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4889009Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4889429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4889855Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4890275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:16:07.4890699Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:16:07.4891120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:16:07.4891517Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:16:07.4891683Z 2025-12-04T09:16:07.4891795Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4892218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4892615Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4892995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4893409Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4893814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:16:07.4894241Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:16:07.4894661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:16:07.4895069Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4895223Z 2025-12-04T09:16:07.4895328Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4895726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4896146Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4896531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4896939Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4897341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4897760Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4898184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4898618Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4899007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:16:07.4899409Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:16:07.4899575Z 2025-12-04T09:16:07.4899697Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4900106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4900495Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4900903Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4901320Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4901726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4902155Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4902588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4903004Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4903566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:16:07.4903959Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:16:07.4904111Z 2025-12-04T09:16:07.4904218Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4904623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4905006Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4905394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4905813Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4906221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4906657Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4907099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4907511Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4907910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:16:07.4908318Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:16:07.4908475Z 2025-12-04T09:16:07.4908561Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4908782Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4909091Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4909512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4909921Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4910315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4910776Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4911202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4911651Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4912080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:16:07.4912511Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:16:07.4912940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:16:07.4913369Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4913516Z 2025-12-04T09:16:07.4913628Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4914042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4914455Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4914846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4915300Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4915720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4916150Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4916574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:16:07.4916967Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4917113Z 2025-12-04T09:16:07.4917228Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4917640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4918038Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4918437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4918863Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4919274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4919706Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4920135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:16:07.4920558Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:16:07.4920964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:16:07.4921441Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:16:07.4921617Z 2025-12-04T09:16:07.4921731Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4922150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4922557Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4922957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4923387Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4923841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:16:07.4924291Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:16:07.4924732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:16:07.4925147Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4925295Z 2025-12-04T09:16:07.4925406Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4925820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4926226Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4926625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4927042Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4927493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4927943Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4928375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4928800Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4929211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:16:07.4929617Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:16:07.4929797Z 2025-12-04T09:16:07.4929911Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4930325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4930732Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4931137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4931556Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4931980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4932427Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4932857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4933275Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4933687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:16:07.4934081Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:16:07.4934229Z 2025-12-04T09:16:07.4934346Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4934760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4935169Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4935572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4935992Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4936410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4936856Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4937295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4937706Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4938137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:16:07.4938539Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:16:07.4938695Z 2025-12-04T09:16:07.4938782Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4939011Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4939296Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4939719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4940128Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4940541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4940982Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4941406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4941875Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4942312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:16:07.4942741Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:16:07.4943156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:16:07.4943551Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4943701Z 2025-12-04T09:16:07.4943819Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4944251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4944645Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4945042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4945477Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4945894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4946330Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4946765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:16:07.4947171Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4947317Z 2025-12-04T09:16:07.4947427Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4947844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4948257Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4948667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4949090Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4949515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4949949Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4950373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:16:07.4950799Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:16:07.4951217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:16:07.4951632Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:16:07.4951799Z 2025-12-04T09:16:07.4951915Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4952365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4952763Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4953148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4953564Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4954000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:16:07.4954432Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:16:07.4954850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:16:07.4955242Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4955393Z 2025-12-04T09:16:07.4955505Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4955920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4956330Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4956715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4957130Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4957538Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4957977Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4958423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4958836Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4959239Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:16:07.4959643Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:16:07.4959808Z 2025-12-04T09:16:07.4959918Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4960331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4960731Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4961198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4961630Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4962066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4962502Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4962946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4963365Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4963765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:16:07.4964158Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:16:07.4964318Z 2025-12-04T09:16:07.4964430Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4964839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4965235Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4965635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4966055Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4966507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4966944Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4967384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4967797Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4968221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:16:07.4968622Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:16:07.4968786Z 2025-12-04T09:16:07.4968875Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4969109Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4969351Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4969766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4970212Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4970612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4971029Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4971447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4971891Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4972321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:16:07.4972787Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:16:07.4973210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:16:07.4973602Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4973751Z 2025-12-04T09:16:07.4973950Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4974357Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4974762Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4975164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4975589Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4976001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4976440Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4976862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:16:07.4977263Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4977416Z 2025-12-04T09:16:07.4977525Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4977948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4978373Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4978770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4979211Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4979621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.4980049Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.4980454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:16:07.4980860Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:16:07.4981280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:16:07.4981664Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:16:07.4981831Z 2025-12-04T09:16:07.4981939Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4982362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4982762Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4983146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4983560Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4983970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:16:07.4984407Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:16:07.4984852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:16:07.4985231Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.4985374Z 2025-12-04T09:16:07.4985489Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4985880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4986271Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4986657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4987091Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4987497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4987940Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4988374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4988781Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4989179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward 2025-12-04T09:16:07.4989575Z mixed_query_layer = self.query(hidden_states) 2025-12-04T09:16:07.4989731Z 2025-12-04T09:16:07.4989849Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4990253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4990651Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4991042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4991461Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4991871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4992321Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4992768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4993191Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4993588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward 2025-12-04T09:16:07.4993991Z mixed_key_layer = self.key(hidden_states) 2025-12-04T09:16:07.4994140Z 2025-12-04T09:16:07.4994259Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4994660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4995086Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.4995474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.4995894Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.4996295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.4996754Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.4997176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward 2025-12-04T09:16:07.4997589Z self_output = self.self(input_tensor, attention_mask) 2025-12-04T09:16:07.4997989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward 2025-12-04T09:16:07.4998387Z mixed_value_layer = self.value(hidden_states) 2025-12-04T09:16:07.4998566Z 2025-12-04T09:16:07.4998663Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4998884Z cudagraph partition due to non gpu ops 2025-12-04T09:16:07.4999137Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.4999552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.4999961Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.5000348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.5000766Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.5001298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward 2025-12-04T09:16:07.5001755Z attention_output = self.attention(hidden_states, attention_mask) 2025-12-04T09:16:07.5002190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward 2025-12-04T09:16:07.5002627Z attention_output = self.output(self_output, input_tensor) 2025-12-04T09:16:07.5003057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward 2025-12-04T09:16:07.5003630Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.5003800Z 2025-12-04T09:16:07.5003911Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.5004328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.5004741Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.5005135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.5005563Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.5005991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.5006428Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.5006850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward 2025-12-04T09:16:07.5007245Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.5007395Z 2025-12-04T09:16:07.5007514Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.5007919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.5008328Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.5008727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.5009150Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.5009620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward 2025-12-04T09:16:07.5010052Z intermediate_output = self.intermediate(attention_output) 2025-12-04T09:16:07.5010475Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward 2025-12-04T09:16:07.5010890Z hidden_states = self.intermediate_act_fn(hidden_states) 2025-12-04T09:16:07.5011326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu 2025-12-04T09:16:07.5011732Z return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) 2025-12-04T09:16:07.5011896Z 2025-12-04T09:16:07.5012018Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.5012425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward 2025-12-04T09:16:07.5012833Z encoded_layers = self.encoder(embedding_output, 2025-12-04T09:16:07.5013235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward 2025-12-04T09:16:07.5013686Z hidden_states = layer_module(hidden_states, attention_mask) 2025-12-04T09:16:07.5014093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward 2025-12-04T09:16:07.5014538Z layer_output = self.output(intermediate_output, attention_output) 2025-12-04T09:16:07.5014973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward 2025-12-04T09:16:07.5015361Z hidden_states = self.dense(hidden_states) 2025-12-04T09:16:07.5015507Z 2025-12-04T09:16:07.5015660Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.5016085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward 2025-12-04T09:16:07.5016487Z pooled_output = self.pooler(sequence_output) 2025-12-04T09:16:07.5016871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 404, in forward 2025-12-04T09:16:07.5017269Z pooled_output = self.dense(first_token_tensor) 2025-12-04T09:16:07.5017429Z 2025-12-04T09:16:07.5017535Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:07.5017938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward 2025-12-04T09:16:07.5018328Z pooled_output = self.pooler(sequence_output) 2025-12-04T09:16:07.5018717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/modules/encoder/bert.py", line 405, in forward 2025-12-04T09:16:07.5019111Z pooled_output = self.activation(pooled_output) 2025-12-04T09:16:07.5019269Z 2025-12-04T09:16:11.1026096Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:11.1026763Z 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 2025-12-04T09:16:11.1027319Z return self.dropout(outputs) 2025-12-04T09:16:11.1027724Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/fastNLP/embeddings/embedding.py", line 160, in dropout 2025-12-04T09:16:11.1028139Z return self.dropout_layer(words) 2025-12-04T09:16:11.1028283Z 2025-12-04T09:16:11.7269746Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:11.7270321Z 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 2025-12-04T09:16:11.7270862Z logits = self.qa_outputs(sequence_output) # [batch_size, seq_len, num_labels] 2025-12-04T09:16:11.7271084Z 2025-12-04T09:16:12.5865746Z Compilation time (from dynamo_timed): 20.568066626 2025-12-04T09:16:12.5866045Z pass 2025-12-04T09:16:12.5866363Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:16:12.5868043Z TIMING: gc:0.00462 entire_frame_compile:20.56807 _recursive_pre_grad_passes:0.00981 _recursive_joint_graph_passes:0.54482 _recursive_post_grad_passes:0.06619 async_compile.wait:1.96714 code_gen:11.52632 inductor_compile:12.76237 backend_compile:16.47192 total_wall_time:20.56807 2025-12-04T09:16:12.5869064Z STATS: call_* op count: 440 | FakeTensorMode.__torch_dispatch__:9085 | ProxyTorchDispatchMode.__torch_dispatch__:2735 | FakeTensor.__torch_dispatch__:4216 2025-12-04T09:16:12.5869681Z Dynamo produced 4 graphs covering 440 ops with 4 graph breaks (1 unique) 2025-12-04T09:16:14.6126401Z /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. 2025-12-04T09:16:14.6127430Z import pynvml # type: ignore[import] 2025-12-04T09:16:16.9891729Z 2025-12-04T09:16:17.3951033Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:16:17.3951714Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:16:17.3956811Z cpu eval functorch_dp_cifar10 2025-12-04T09:16:17.4433920Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:16:17.4690006Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:16:17.4938044Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:16:27.2879646Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2880152Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2880520Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2881392Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2881803Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2882149Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2882515Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2882862Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2883228Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2883590Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2883940Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2884302Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2884659Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2885017Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2885384Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2885762Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2886109Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2886511Z cudagraph partition due to non gpu ops 2025-12-04T09:16:27.2886951Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2887657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2888281Z return mod(*inputs) 2025-12-04T09:16:27.2888947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2889650Z return self._forward_impl(x) 2025-12-04T09:16:27.2890349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl 2025-12-04T09:16:27.2891050Z x = self.conv1(x) 2025-12-04T09:16:27.2891244Z 2025-12-04T09:16:27.2891420Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2892097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2892707Z return mod(*inputs) 2025-12-04T09:16:27.2893333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2893995Z return self._forward_impl(x) 2025-12-04T09:16:27.2894659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl 2025-12-04T09:16:27.2895326Z x = self.relu(x) 2025-12-04T09:16:27.2895624Z 2025-12-04T09:16:27.2895821Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2896382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2896978Z return mod(*inputs) 2025-12-04T09:16:27.2897559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2898319Z return self._forward_impl(x) 2025-12-04T09:16:27.2898947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl 2025-12-04T09:16:27.2899604Z x = self.maxpool(x) 2025-12-04T09:16:27.2899770Z 2025-12-04T09:16:27.2899934Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2900553Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2901100Z return mod(*inputs) 2025-12-04T09:16:27.2901793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2902481Z return self._forward_impl(x) 2025-12-04T09:16:27.2903100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-12-04T09:16:27.2904083Z x = self.layer1(x) 2025-12-04T09:16:27.2904659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-12-04T09:16:27.2905276Z out = self.conv1(x) 2025-12-04T09:16:27.2905464Z 2025-12-04T09:16:27.2905647Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2906414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2906980Z return mod(*inputs) 2025-12-04T09:16:27.2907549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2908200Z return self._forward_impl(x) 2025-12-04T09:16:27.2908828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-12-04T09:16:27.2909480Z x = self.layer1(x) 2025-12-04T09:16:27.2910047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-12-04T09:16:27.2910667Z out = self.relu(out) 2025-12-04T09:16:27.2910843Z 2025-12-04T09:16:27.2911029Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2911658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2912224Z return mod(*inputs) 2025-12-04T09:16:27.2912775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2913403Z return self._forward_impl(x) 2025-12-04T09:16:27.2914039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-12-04T09:16:27.2914692Z x = self.layer1(x) 2025-12-04T09:16:27.2915267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-12-04T09:16:27.2915872Z out = self.conv2(out) 2025-12-04T09:16:27.2916064Z 2025-12-04T09:16:27.2916232Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2916871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2917443Z return mod(*inputs) 2025-12-04T09:16:27.2918013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2918687Z return self._forward_impl(x) 2025-12-04T09:16:27.2919382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-12-04T09:16:27.2920075Z x = self.layer1(x) 2025-12-04T09:16:27.2920840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-12-04T09:16:27.2921668Z out = self.relu(out) 2025-12-04T09:16:27.2921874Z 2025-12-04T09:16:27.2922087Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2922781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2923460Z return mod(*inputs) 2025-12-04T09:16:27.2924052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2924684Z return self._forward_impl(x) 2025-12-04T09:16:27.2925331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-12-04T09:16:27.2925995Z x = self.layer1(x) 2025-12-04T09:16:27.2926595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-12-04T09:16:27.2927326Z out = self.conv1(x) 2025-12-04T09:16:27.2927529Z 2025-12-04T09:16:27.2927717Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2928438Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2929060Z return mod(*inputs) 2025-12-04T09:16:27.2929705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2930401Z return self._forward_impl(x) 2025-12-04T09:16:27.2931099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-12-04T09:16:27.2931844Z x = self.layer1(x) 2025-12-04T09:16:27.2932473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-12-04T09:16:27.2933162Z out = self.relu(out) 2025-12-04T09:16:27.2933358Z 2025-12-04T09:16:27.2933555Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2934239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2934817Z return mod(*inputs) 2025-12-04T09:16:27.2935434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2936091Z return self._forward_impl(x) 2025-12-04T09:16:27.2936781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-12-04T09:16:27.2937471Z x = self.layer1(x) 2025-12-04T09:16:27.2938062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-12-04T09:16:27.2938724Z out = self.conv2(out) 2025-12-04T09:16:27.2938934Z 2025-12-04T09:16:27.2939128Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2939832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2940458Z return mod(*inputs) 2025-12-04T09:16:27.2941085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2941787Z return self._forward_impl(x) 2025-12-04T09:16:27.2942477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-12-04T09:16:27.2943166Z x = self.layer1(x) 2025-12-04T09:16:27.2943756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-12-04T09:16:27.2944422Z out = self.relu(out) 2025-12-04T09:16:27.2944620Z 2025-12-04T09:16:27.2944816Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2945538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2946175Z return mod(*inputs) 2025-12-04T09:16:27.2946880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2947580Z return self._forward_impl(x) 2025-12-04T09:16:27.2948287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:16:27.2948998Z x = self.layer2(x) 2025-12-04T09:16:27.2949662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-12-04T09:16:27.2950347Z out = self.conv1(x) 2025-12-04T09:16:27.2950541Z 2025-12-04T09:16:27.2950851Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2951550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2952159Z return mod(*inputs) 2025-12-04T09:16:27.2952799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2953473Z return self._forward_impl(x) 2025-12-04T09:16:27.2954261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:16:27.2954960Z x = self.layer2(x) 2025-12-04T09:16:27.2955585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-12-04T09:16:27.2956271Z out = self.relu(out) 2025-12-04T09:16:27.2956477Z 2025-12-04T09:16:27.2956675Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2957393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2958033Z return mod(*inputs) 2025-12-04T09:16:27.2958702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2959384Z return self._forward_impl(x) 2025-12-04T09:16:27.2960081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:16:27.2960782Z x = self.layer2(x) 2025-12-04T09:16:27.2961524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-12-04T09:16:27.2962220Z out = self.conv2(out) 2025-12-04T09:16:27.2962427Z 2025-12-04T09:16:27.2962639Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2963346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2963962Z return mod(*inputs) 2025-12-04T09:16:27.2964588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2965268Z return self._forward_impl(x) 2025-12-04T09:16:27.2965964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:16:27.2966666Z x = self.layer2(x) 2025-12-04T09:16:27.2967298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-12-04T09:16:27.2967973Z identity = self.downsample(x) 2025-12-04T09:16:27.2968216Z 2025-12-04T09:16:27.2968408Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2969099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2969725Z return mod(*inputs) 2025-12-04T09:16:27.2970327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2971039Z return self._forward_impl(x) 2025-12-04T09:16:27.2971906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:16:27.2972541Z x = self.layer2(x) 2025-12-04T09:16:27.2973091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-12-04T09:16:27.2973782Z out = self.relu(out) 2025-12-04T09:16:27.2974105Z 2025-12-04T09:16:27.2974297Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2974969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2975575Z return mod(*inputs) 2025-12-04T09:16:27.2976200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2976933Z return self._forward_impl(x) 2025-12-04T09:16:27.2977635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:16:27.2978332Z x = self.layer2(x) 2025-12-04T09:16:27.2978956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-12-04T09:16:27.2979647Z out = self.conv1(x) 2025-12-04T09:16:27.2979849Z 2025-12-04T09:16:27.2980044Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2980813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2981426Z return mod(*inputs) 2025-12-04T09:16:27.2982059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2982743Z return self._forward_impl(x) 2025-12-04T09:16:27.2983443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:16:27.2984137Z x = self.layer2(x) 2025-12-04T09:16:27.2984760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-12-04T09:16:27.2985485Z out = self.relu(out) 2025-12-04T09:16:27.2985680Z 2025-12-04T09:16:27.2985876Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2986584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2987218Z return mod(*inputs) 2025-12-04T09:16:27.2987860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2988525Z return self._forward_impl(x) 2025-12-04T09:16:27.2989204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:16:27.2989911Z x = self.layer2(x) 2025-12-04T09:16:27.2990521Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-12-04T09:16:27.2991194Z out = self.conv2(out) 2025-12-04T09:16:27.2991407Z 2025-12-04T09:16:27.2991606Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2992311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2992932Z return mod(*inputs) 2025-12-04T09:16:27.2993567Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2994261Z return self._forward_impl(x) 2025-12-04T09:16:27.2994953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-12-04T09:16:27.2995648Z x = self.layer2(x) 2025-12-04T09:16:27.2996236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-12-04T09:16:27.2996896Z out = self.relu(out) 2025-12-04T09:16:27.2997095Z 2025-12-04T09:16:27.2997289Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.2997998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.2998638Z return mod(*inputs) 2025-12-04T09:16:27.2999266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.2999960Z return self._forward_impl(x) 2025-12-04T09:16:27.3000746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:16:27.3001589Z x = self.layer3(x) 2025-12-04T09:16:27.3002204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-12-04T09:16:27.3002877Z out = self.conv1(x) 2025-12-04T09:16:27.3003137Z 2025-12-04T09:16:27.3003353Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3004190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3004809Z return mod(*inputs) 2025-12-04T09:16:27.3005451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3006126Z return self._forward_impl(x) 2025-12-04T09:16:27.3006818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:16:27.3007655Z x = self.layer3(x) 2025-12-04T09:16:27.3008279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-12-04T09:16:27.3008949Z out = self.relu(out) 2025-12-04T09:16:27.3009136Z 2025-12-04T09:16:27.3009331Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3010036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3010651Z return mod(*inputs) 2025-12-04T09:16:27.3011269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3011959Z return self._forward_impl(x) 2025-12-04T09:16:27.3012744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:16:27.3013455Z x = self.layer3(x) 2025-12-04T09:16:27.3014076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-12-04T09:16:27.3014744Z out = self.conv2(out) 2025-12-04T09:16:27.3014949Z 2025-12-04T09:16:27.3015151Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3015844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3016470Z return mod(*inputs) 2025-12-04T09:16:27.3017090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3017779Z return self._forward_impl(x) 2025-12-04T09:16:27.3018478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:16:27.3019184Z x = self.layer3(x) 2025-12-04T09:16:27.3019800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-12-04T09:16:27.3020476Z identity = self.downsample(x) 2025-12-04T09:16:27.3020733Z 2025-12-04T09:16:27.3020927Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3021627Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3022249Z return mod(*inputs) 2025-12-04T09:16:27.3022875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3023566Z return self._forward_impl(x) 2025-12-04T09:16:27.3024271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:16:27.3024955Z x = self.layer3(x) 2025-12-04T09:16:27.3025572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-12-04T09:16:27.3026237Z out = self.relu(out) 2025-12-04T09:16:27.3026432Z 2025-12-04T09:16:27.3026639Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3027445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3028085Z return mod(*inputs) 2025-12-04T09:16:27.3028698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3029377Z return self._forward_impl(x) 2025-12-04T09:16:27.3030165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:16:27.3030874Z x = self.layer3(x) 2025-12-04T09:16:27.3031508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-12-04T09:16:27.3032179Z out = self.conv1(x) 2025-12-04T09:16:27.3032385Z 2025-12-04T09:16:27.3032577Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3033294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3033910Z return mod(*inputs) 2025-12-04T09:16:27.3034581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3035263Z return self._forward_impl(x) 2025-12-04T09:16:27.3035969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:16:27.3036664Z x = self.layer3(x) 2025-12-04T09:16:27.3037270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-12-04T09:16:27.3037937Z out = self.relu(out) 2025-12-04T09:16:27.3038135Z 2025-12-04T09:16:27.3038325Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3039084Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3039712Z return mod(*inputs) 2025-12-04T09:16:27.3040344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3041030Z return self._forward_impl(x) 2025-12-04T09:16:27.3041844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:16:27.3042536Z x = self.layer3(x) 2025-12-04T09:16:27.3043150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-12-04T09:16:27.3043824Z out = self.conv2(out) 2025-12-04T09:16:27.3044036Z 2025-12-04T09:16:27.3044217Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3044917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3045529Z return mod(*inputs) 2025-12-04T09:16:27.3046164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3046854Z return self._forward_impl(x) 2025-12-04T09:16:27.3047546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-12-04T09:16:27.3048247Z x = self.layer3(x) 2025-12-04T09:16:27.3048867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-12-04T09:16:27.3049534Z out = self.relu(out) 2025-12-04T09:16:27.3049741Z 2025-12-04T09:16:27.3049938Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3050644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3051270Z return mod(*inputs) 2025-12-04T09:16:27.3051898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3052561Z return self._forward_impl(x) 2025-12-04T09:16:27.3053245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-12-04T09:16:27.3053937Z x = self.layer4(x) 2025-12-04T09:16:27.3054637Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-12-04T09:16:27.3055313Z out = self.conv1(x) 2025-12-04T09:16:27.3055505Z 2025-12-04T09:16:27.3055705Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3056398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3057103Z return mod(*inputs) 2025-12-04T09:16:27.3057733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3058427Z return self._forward_impl(x) 2025-12-04T09:16:27.3059126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-12-04T09:16:27.3059824Z x = self.layer4(x) 2025-12-04T09:16:27.3060424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-12-04T09:16:27.3061115Z out = self.relu(out) 2025-12-04T09:16:27.3061306Z 2025-12-04T09:16:27.3061499Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3062189Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3062795Z return mod(*inputs) 2025-12-04T09:16:27.3063413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3064092Z return self._forward_impl(x) 2025-12-04T09:16:27.3064766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-12-04T09:16:27.3065499Z x = self.layer4(x) 2025-12-04T09:16:27.3066093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-12-04T09:16:27.3066746Z out = self.conv2(out) 2025-12-04T09:16:27.3066941Z 2025-12-04T09:16:27.3067147Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3067822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3068435Z return mod(*inputs) 2025-12-04T09:16:27.3069052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3069725Z return self._forward_impl(x) 2025-12-04T09:16:27.3070388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-12-04T09:16:27.3071067Z x = self.layer4(x) 2025-12-04T09:16:27.3071687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-12-04T09:16:27.3072372Z identity = self.downsample(x) 2025-12-04T09:16:27.3072618Z 2025-12-04T09:16:27.3072813Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3073525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3074126Z return mod(*inputs) 2025-12-04T09:16:27.3074744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3075418Z return self._forward_impl(x) 2025-12-04T09:16:27.3076113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-12-04T09:16:27.3076811Z x = self.layer4(x) 2025-12-04T09:16:27.3077424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-12-04T09:16:27.3078105Z out = self.relu(out) 2025-12-04T09:16:27.3078308Z 2025-12-04T09:16:27.3078509Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3079202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3079840Z return mod(*inputs) 2025-12-04T09:16:27.3080529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3081336Z return self._forward_impl(x) 2025-12-04T09:16:27.3082033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-12-04T09:16:27.3082712Z x = self.layer4(x) 2025-12-04T09:16:27.3083431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-12-04T09:16:27.3084070Z out = self.conv1(x) 2025-12-04T09:16:27.3084261Z 2025-12-04T09:16:27.3084454Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3085160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3085778Z return mod(*inputs) 2025-12-04T09:16:27.3086399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3087144Z return self._forward_impl(x) 2025-12-04T09:16:27.3087856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-12-04T09:16:27.3088563Z x = self.layer4(x) 2025-12-04T09:16:27.3089199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-12-04T09:16:27.3089875Z out = self.relu(out) 2025-12-04T09:16:27.3090075Z 2025-12-04T09:16:27.3090269Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3090967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3091575Z return mod(*inputs) 2025-12-04T09:16:27.3092789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3093466Z return self._forward_impl(x) 2025-12-04T09:16:27.3094152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-12-04T09:16:27.3094846Z x = self.layer4(x) 2025-12-04T09:16:27.3095446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-12-04T09:16:27.3096113Z out = self.conv2(out) 2025-12-04T09:16:27.3096324Z 2025-12-04T09:16:27.3096525Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3097225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3097814Z return mod(*inputs) 2025-12-04T09:16:27.3098389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3099062Z return self._forward_impl(x) 2025-12-04T09:16:27.3099730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl 2025-12-04T09:16:27.3100398Z x = self.avgpool(x) 2025-12-04T09:16:27.3100633Z 2025-12-04T09:16:27.3100824Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:27.3101503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:27.3102096Z return mod(*inputs) 2025-12-04T09:16:27.3102701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-12-04T09:16:27.3103666Z return self._forward_impl(x) 2025-12-04T09:16:27.3104323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 280, in _forward_impl 2025-12-04T09:16:27.3104982Z x = self.fc(x) 2025-12-04T09:16:27.3105162Z 2025-12-04T09:16:40.4044969Z Compilation time (from dynamo_timed): 22.397919344 2025-12-04T09:16:40.4045274Z pass 2025-12-04T09:16:40.4045584Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:16:40.4046640Z TIMING: _recursive_pre_grad_passes:0.0053 _recursive_joint_graph_passes:0.4965 _recursive_post_grad_passes:0.04366 async_compile.wait:1.91956 code_gen:13.10583 inductor_compile:15.15728 backend_compile:19.73966 gc:0.00032 entire_frame_compile:22.39792 total_wall_time:22.39792 2025-12-04T09:16:40.4047774Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:3087 | FakeTensor.__torch_dispatch__:2339 | attempt fast:90 | fast is_contiguous:86 | slow both tensors nontrivially broadcast:4 | ProxyTorchDispatchMode.__torch_dispatch__:724 2025-12-04T09:16:40.4048536Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique) 2025-12-04T09:16:42.6558807Z /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. 2025-12-04T09:16:42.6559683Z import pynvml # type: ignore[import] 2025-12-04T09:16:44.9336328Z 2025-12-04T09:16:45.1663912Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:16:45.1664228Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:16:45.1664467Z cpu eval functorch_maml_omniglot 2025-12-04T09:16:45.1716794Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:16:45.1767189Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:16:45.1799200Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:16:47.4090651Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:47.4091579Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:47.4091972Z return mod(*inputs) 2025-12-04T09:16:47.4092101Z 2025-12-04T09:16:47.4092201Z cudagraph partition due to non gpu ops 2025-12-04T09:16:47.4092453Z cudagraph partition due to non gpu ops 2025-12-04T09:16:47.4092749Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:47.4093150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:47.4093522Z return mod(*inputs) 2025-12-04T09:16:47.4093645Z 2025-12-04T09:16:47.4093759Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:47.4094168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:47.4094572Z return mod(*inputs) 2025-12-04T09:16:47.4094686Z 2025-12-04T09:16:47.4094793Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:47.4095177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:47.4095515Z return mod(*inputs) 2025-12-04T09:16:47.4095630Z 2025-12-04T09:16:47.4095737Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:47.4096121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:47.4096473Z return mod(*inputs) 2025-12-04T09:16:47.4096579Z 2025-12-04T09:16:47.4096683Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:47.4097069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:47.4097424Z return mod(*inputs) 2025-12-04T09:16:47.4097534Z 2025-12-04T09:16:47.4097647Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:47.4098033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:47.4098444Z return mod(*inputs) 2025-12-04T09:16:47.4098553Z 2025-12-04T09:16:47.4098670Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:47.4099051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:47.4099390Z return mod(*inputs) 2025-12-04T09:16:47.4099497Z 2025-12-04T09:16:47.4099725Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:47.4100127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:47.4100471Z return mod(*inputs) 2025-12-04T09:16:47.4100586Z 2025-12-04T09:16:47.4100694Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:16:47.4101134Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:16:47.4101479Z return mod(*inputs) 2025-12-04T09:16:47.4101596Z 2025-12-04T09:16:57.1169719Z Compilation time (from dynamo_timed): 11.466571552 2025-12-04T09:16:57.1170025Z pass 2025-12-04T09:16:57.1174783Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:16:57.1175736Z TIMING: _recursive_pre_grad_passes:0.00353 _recursive_joint_graph_passes:0.32028 _recursive_post_grad_passes:0.01861 async_compile.wait:0.90162 code_gen:9.70963 inductor_compile:9.86201 backend_compile:11.0971 gc:0.00097 entire_frame_compile:11.46657 total_wall_time:11.46657 2025-12-04T09:16:57.1176963Z STATS: call_* op count: 14 | FakeTensor.__torch_dispatch__:296 | FakeTensorMode.__torch_dispatch__:928 | ProxyTorchDispatchMode.__torch_dispatch__:155 2025-12-04T09:16:57.1177499Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique) 2025-12-04T09:16:58.6648819Z /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. 2025-12-04T09:16:58.6649713Z import pynvml # type: ignore[import] 2025-12-04T09:17:00.9338382Z 2025-12-04T09:17:01.1148572Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:17:01.1148879Z loading model: 0it [00:00, ?it/s] 2025-12-04T09:17:01.1149111Z cpu eval lennard_jones 2025-12-04T09:17:01.1160665Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:17:01.1185582Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:17:01.1191858Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:17:03.1095163Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:03.1097301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:03.1097719Z return mod(*inputs) 2025-12-04T09:17:03.1097851Z 2025-12-04T09:17:03.1097973Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:03.1098418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:03.1098787Z return mod(*inputs) 2025-12-04T09:17:03.1098910Z 2025-12-04T09:17:03.1099025Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:03.1099451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:03.1099816Z return mod(*inputs) 2025-12-04T09:17:03.1099927Z 2025-12-04T09:17:03.1100039Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:03.1100441Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:03.1100804Z return mod(*inputs) 2025-12-04T09:17:03.1100912Z 2025-12-04T09:17:03.1101022Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:03.1101423Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:03.1101781Z return mod(*inputs) 2025-12-04T09:17:03.1101894Z 2025-12-04T09:17:03.1102009Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:03.1102404Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:03.1102755Z return mod(*inputs) 2025-12-04T09:17:03.1102863Z 2025-12-04T09:17:03.1103609Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:03.1104021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:03.1104369Z return mod(*inputs) 2025-12-04T09:17:03.1104486Z 2025-12-04T09:17:03.1104594Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:03.1105060Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:03.1105412Z return mod(*inputs) 2025-12-04T09:17:03.1105527Z 2025-12-04T09:17:03.1105637Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T09:17:03.1106035Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T09:17:03.1106377Z return mod(*inputs) 2025-12-04T09:17:03.1106492Z 2025-12-04T09:17:12.1086634Z Compilation time (from dynamo_timed): 10.513630297 2025-12-04T09:17:12.1086952Z pass 2025-12-04T09:17:12.1089011Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-12-04T09:17:12.1089953Z TIMING: _recursive_pre_grad_passes:0.00351 _recursive_joint_graph_passes:0.34447 _recursive_post_grad_passes:0.01701 async_compile.wait:0.61186 code_gen:8.91939 inductor_compile:9.01483 backend_compile:10.20318 gc:0.00068 entire_frame_compile:10.51363 total_wall_time:10.51363 2025-12-04T09:17:12.1091049Z STATS: call_* op count: 9 | FakeTensor.__torch_dispatch__:102 | FakeTensorMode.__torch_dispatch__:618 | attempt fast:8 | fast is_contiguous:8 | ProxyTorchDispatchMode.__torch_dispatch__:91 2025-12-04T09:17:12.1091739Z Dynamo produced 1 graphs covering 9 ops with 0 graph breaks (0 unique) 2025-12-04T09:17:13.3540121Z accuracy pass_rate=96.30% 2025-12-04T09:17:13.3544419Z calls_captured gmean=0.00x mean=315.185x 2025-12-04T09:17:13.3546847Z unique_graphs gmean=0.00x mean=14.481x 2025-12-04T09:17:13.3550016Z graph_breaks gmean=0.00x mean=11.148x 2025-12-04T09:17:13.3550955Z unique_graph_breaks gmean=0.00x mean=1.704x 2025-12-04T09:17:13.3556562Z autograd_captures gmean=0.00x mean=0.000x 2025-12-04T09:17:13.3557203Z autograd_compiles gmean=0.00x mean=0.000x 2025-12-04T09:17:13.3559292Z cudagraph_skips gmean=0.00x mean=9.852x 2025-12-04T09:17:13.3559996Z compilation_latency mean=30.120 seconds 2025-12-04T09:17:14.1552721Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_inductor_torchbench_inference.csv 2025-12-04T09:17:14.4478072Z BERT_pytorch PASS 2025-12-04T09:17:14.4478427Z Background_Matting XFAIL 2025-12-04T09:17:14.4478668Z LearningToPaint PASS 2025-12-04T09:17:14.4482349Z Super_SloMo PASS 2025-12-04T09:17:14.4487751Z alexnet PASS 2025-12-04T09:17:14.4488664Z basic_gnn_edgecnn PASS 2025-12-04T09:17:14.4497627Z basic_gnn_gcn PASS 2025-12-04T09:17:14.4497900Z basic_gnn_gin PASS 2025-12-04T09:17:14.4498562Z basic_gnn_sage PASS 2025-12-04T09:17:14.4502377Z dcgan PASS 2025-12-04T09:17:14.4505573Z demucs PASS 2025-12-04T09:17:14.4508302Z densenet121 PASS 2025-12-04T09:17:14.4511716Z detectron2_fasterrcnn_r_101_c4 PASS 2025-12-04T09:17:14.4521000Z detectron2_fasterrcnn_r_101_dc5 PASS 2025-12-04T09:17:14.4521448Z detectron2_fasterrcnn_r_101_fpn PASS 2025-12-04T09:17:14.4522416Z detectron2_fasterrcnn_r_50_c4 PASS 2025-12-04T09:17:14.4526427Z detectron2_fasterrcnn_r_50_dc5 PASS 2025-12-04T09:17:14.4529937Z detectron2_fasterrcnn_r_50_fpn PASS 2025-12-04T09:17:14.4531780Z detectron2_fcos_r_50_fpn PASS 2025-12-04T09:17:14.4534686Z dlrm PASS 2025-12-04T09:17:14.4538517Z doctr_det_predictor PASS 2025-12-04T09:17:14.4541083Z doctr_reco_predictor PASS 2025-12-04T09:17:14.4544283Z drq PASS 2025-12-04T09:17:14.4547551Z fastNLP_Bert PASS 2025-12-04T09:17:14.4550877Z functorch_dp_cifar10 PASS 2025-12-04T09:17:14.4555433Z functorch_maml_omniglot PASS 2025-12-04T09:17:14.4557278Z lennard_jones PASS 2025-12-04T09:17:14.5146982Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_inductor_torchbench_inference.csv 2025-12-04T09:17:14.7962263Z BERT_pytorch PASS 2025-12-04T09:17:14.7962684Z Background_Matting PASS 2025-12-04T09:17:14.7966637Z LearningToPaint PASS 2025-12-04T09:17:14.7971537Z Super_SloMo PASS 2025-12-04T09:17:14.7975840Z alexnet PASS 2025-12-04T09:17:14.7977000Z basic_gnn_edgecnn PASS 2025-12-04T09:17:14.7980280Z basic_gnn_gcn PASS 2025-12-04T09:17:14.7982852Z basic_gnn_gin PASS 2025-12-04T09:17:14.7985438Z basic_gnn_sage PASS 2025-12-04T09:17:14.7991257Z dcgan PASS 2025-12-04T09:17:14.7992886Z demucs PASS 2025-12-04T09:17:14.7996318Z densenet121 PASS 2025-12-04T09:17:14.7999292Z detectron2_fasterrcnn_r_101_c4 PASS 2025-12-04T09:17:14.8005666Z detectron2_fasterrcnn_r_101_dc5 PASS 2025-12-04T09:17:14.8013539Z detectron2_fasterrcnn_r_101_fpn PASS 2025-12-04T09:17:14.8014103Z detectron2_fasterrcnn_r_50_c4 PASS 2025-12-04T09:17:14.8014344Z detectron2_fasterrcnn_r_50_dc5 PASS 2025-12-04T09:17:14.8018940Z detectron2_fasterrcnn_r_50_fpn PASS 2025-12-04T09:17:14.8019248Z detectron2_fcos_r_50_fpn PASS_BUT_FLAKY 2025-12-04T09:17:14.8026156Z dlrm PASS 2025-12-04T09:17:14.8028081Z doctr_det_predictor PASS 2025-12-04T09:17:14.8029874Z doctr_reco_predictor PASS 2025-12-04T09:17:14.8033304Z drq PASS 2025-12-04T09:17:14.8036604Z fastNLP_Bert PASS 2025-12-04T09:17:14.8039437Z functorch_dp_cifar10 PASS 2025-12-04T09:17:14.8043702Z functorch_maml_omniglot PASS 2025-12-04T09:17:14.8046222Z lennard_jones PASS 2025-12-04T09:17:14.8608715Z + sccache_epilogue 2025-12-04T09:17:14.8609072Z + echo '::group::Sccache Compilation Log' 2025-12-04T09:17:14.8609670Z ##[group]Sccache Compilation Log 2025-12-04T09:17:14.8609942Z + echo '=================== sccache compilation log ===================' 2025-12-04T09:17:14.8610243Z =================== sccache compilation log =================== 2025-12-04T09:17:14.8610671Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T09:17:14.8866161Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T09:17:14.8866662Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T09:17:14.8866991Z + sccache --show-stats 2025-12-04T09:17:14.8904254Z Compile requests 524 2025-12-04T09:17:14.8904541Z Compile requests executed 0 2025-12-04T09:17:14.8905208Z Cache hits 0 2025-12-04T09:17:14.8905505Z Cache misses 0 2025-12-04T09:17:14.8905731Z Cache hits rate - 2025-12-04T09:17:14.8905969Z Cache timeouts 0 2025-12-04T09:17:14.8906176Z Cache read errors 0 2025-12-04T09:17:14.8906396Z Forced recaches 0 2025-12-04T09:17:14.8906624Z Cache write errors 0 2025-12-04T09:17:14.8906849Z Cache errors 0 2025-12-04T09:17:14.8907277Z Compilations 0 2025-12-04T09:17:14.8907527Z Compilation failures 0 2025-12-04T09:17:14.8907780Z Non-cacheable compilations 0 2025-12-04T09:17:14.8907991Z Non-cacheable calls 26 2025-12-04T09:17:14.8908223Z Non-compilation calls 498 2025-12-04T09:17:14.8908539Z Unsupported compiler calls 0 2025-12-04T09:17:14.8908760Z Average cache write 0.000 s 2025-12-04T09:17:14.8908987Z Average compiler 0.000 s 2025-12-04T09:17:14.8909210Z Average cache read hit 0.000 s 2025-12-04T09:17:14.8909426Z Failed distributed compilations 0 2025-12-04T09:17:14.8909597Z 2025-12-04T09:17:14.8909673Z Non-cacheable reasons: 2025-12-04T09:17:14.8909865Z -E 26 2025-12-04T09:17:14.8910007Z 2025-12-04T09:17:14.8910199Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:17:14.8910591Z Version (client) 0.10.0 2025-12-04T09:17:14.8910815Z + sccache --stop-server 2025-12-04T09:17:14.8925129Z Stopping sccache server... 2025-12-04T09:17:14.8935171Z Compile requests 524 2025-12-04T09:17:14.8935447Z Compile requests executed 0 2025-12-04T09:17:14.8935670Z Cache hits 0 2025-12-04T09:17:14.8935898Z Cache misses 0 2025-12-04T09:17:14.8936102Z Cache hits rate - 2025-12-04T09:17:14.8936311Z Cache timeouts 0 2025-12-04T09:17:14.8936519Z Cache read errors 0 2025-12-04T09:17:14.8936714Z Forced recaches 0 2025-12-04T09:17:14.8937117Z Cache write errors 0 2025-12-04T09:17:14.8937329Z Cache errors 0 2025-12-04T09:17:14.8937532Z Compilations 0 2025-12-04T09:17:14.8937750Z Compilation failures 0 2025-12-04T09:17:14.8937985Z Non-cacheable compilations 0 2025-12-04T09:17:14.8938217Z Non-cacheable calls 26 2025-12-04T09:17:14.8938431Z Non-compilation calls 498 2025-12-04T09:17:14.8938657Z Unsupported compiler calls 0 2025-12-04T09:17:14.8938886Z Average cache write 0.000 s 2025-12-04T09:17:14.8939108Z Average compiler 0.000 s 2025-12-04T09:17:14.8939315Z Average cache read hit 0.000 s 2025-12-04T09:17:14.8939523Z Failed distributed compilations 0 2025-12-04T09:17:14.8939659Z 2025-12-04T09:17:14.8939735Z Non-cacheable reasons: 2025-12-04T09:17:14.8939908Z -E 26 2025-12-04T09:17:14.8940035Z 2025-12-04T09:17:14.8940199Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:17:14.8940513Z Version (client) 0.10.0 2025-12-04T09:17:14.8940763Z + echo ::endgroup:: 2025-12-04T09:17:14.8941292Z ##[endgroup] 2025-12-04T09:17:14.8941457Z + cleanup_workspace 2025-12-04T09:17:14.8941783Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T09:17:14.8942298Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T09:17:14.8942703Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T09:17:14.8943028Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T09:17:14.8943408Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T09:17:14.8943791Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T09:17:14.8944093Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T09:17:21.8683035Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T09:17:21.8683408Z with: 2025-12-04T09:17:21.8683611Z benchmark-results-dir: test/test-reports 2025-12-04T09:17:21.8683862Z dry-run: false 2025-12-04T09:17:21.8684052Z schema-version: v3 2025-12-04T09:17:21.8684454Z github-token: *** 2025-12-04T09:17:21.8684642Z env: 2025-12-04T09:17:21.8684798Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:21.8684997Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:21.8685313Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:21.8685728Z ##[endgroup] 2025-12-04T09:17:21.8726911Z ##[group]Run set -eux 2025-12-04T09:17:21.8727134Z set -eux 2025-12-04T09:17:21.8727307Z  2025-12-04T09:17:21.8727479Z if [[ -n "" ]]; then 2025-12-04T09:17:21.8727674Z  source "" 2025-12-04T09:17:21.8727850Z fi 2025-12-04T09:17:21.8728152Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:17:21.8728430Z  2025-12-04T09:17:21.8728592Z DEVICE_NAME="" 2025-12-04T09:17:21.8728781Z DEVICE_TYPE="" 2025-12-04T09:17:21.8728950Z  2025-12-04T09:17:21.8729228Z if command -v nvidia-smi; then 2025-12-04T09:17:21.8729544Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T09:17:21.8729914Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T09:17:21.8730269Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T09:17:21.8730568Z  python3 -mpip install torch==2.7.1 2025-12-04T09:17:21.8730810Z elif command -v rocminfo; then 2025-12-04T09:17:21.8731100Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T09:17:21.8731465Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T09:17:21.8731831Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T09:17:21.8732154Z  # GPU device name coming from rocminfo instead 2025-12-04T09:17:21.8732395Z  DEVICE_NAME=rocm 2025-12-04T09:17:21.8732727Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T09:17:21.8733051Z fi 2025-12-04T09:17:21.8733201Z  2025-12-04T09:17:21.8733401Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T09:17:21.8733681Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T09:17:21.8790972Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:17:21.8791265Z env: 2025-12-04T09:17:21.8791446Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:21.8791815Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:21.8792151Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:21.8792501Z ##[endgroup] 2025-12-04T09:17:21.8828175Z + [[ -n '' ]] 2025-12-04T09:17:21.8828629Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:17:22.1214069Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:17:22.9386264Z Collecting boto3==1.35.33 2025-12-04T09:17:22.9543325Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T09:17:23.2073018Z Collecting psutil==7.0.0 2025-12-04T09:17:23.2108797Z 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) 2025-12-04T09:17:23.2391434Z Collecting pynvml==12.0.0 2025-12-04T09:17:23.2426190Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T09:17:23.2507991Z 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) 2025-12-04T09:17:24.1347627Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T09:17:24.1386468Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T09:17:24.2676256Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T09:17:24.2709941Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T09:17:24.3126975Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T09:17:24.3165105Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T09:17:24.3249323Z 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) 2025-12-04T09:17:24.3258079Z 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) 2025-12-04T09:17:24.4796436Z 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) 2025-12-04T09:17:24.6029119Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T09:17:24.9896983Z Attempting uninstall: nvidia-ml-py 2025-12-04T09:17:24.9897366Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T09:17:24.9919073Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T09:17:25.0098607Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T09:17:25.0627578Z Attempting uninstall: psutil 2025-12-04T09:17:25.0627966Z Found existing installation: psutil 5.9.8 2025-12-04T09:17:25.0680548Z Uninstalling psutil-5.9.8: 2025-12-04T09:17:25.0693815Z Successfully uninstalled psutil-5.9.8 2025-12-04T09:17:25.2113729Z 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 2025-12-04T09:17:25.3298120Z + DEVICE_NAME= 2025-12-04T09:17:25.3301668Z + DEVICE_TYPE= 2025-12-04T09:17:25.3301874Z + command -v nvidia-smi 2025-12-04T09:17:25.3302072Z + command -v rocminfo 2025-12-04T09:17:25.3302325Z + echo DEVICE_NAME= 2025-12-04T09:17:25.3302499Z + echo DEVICE_TYPE= 2025-12-04T09:17:25.3325916Z ##[group]Run set -eux 2025-12-04T09:17:25.3326121Z set -eux 2025-12-04T09:17:25.3326293Z  2025-12-04T09:17:25.3326480Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T09:17:25.3326723Z  echo "Missing github-token input" 2025-12-04T09:17:25.3326950Z  exit 1 2025-12-04T09:17:25.3327114Z fi 2025-12-04T09:17:25.3333735Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:17:25.3334000Z env: 2025-12-04T09:17:25.3334173Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:25.3334365Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:25.3334692Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:25.3335025Z DEVICE_NAME: 2025-12-04T09:17:25.3335188Z DEVICE_TYPE: 2025-12-04T09:17:25.3335586Z GITHUB_TOKEN: *** 2025-12-04T09:17:25.3335756Z ##[endgroup] 2025-12-04T09:17:25.3358836Z + [[ -z *** ]] 2025-12-04T09:17:25.3409291Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T09:17:25.3409625Z with: 2025-12-04T09:17:25.3409972Z github-token: *** 2025-12-04T09:17:25.3410154Z env: 2025-12-04T09:17:25.3410339Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:25.3410562Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:25.3410907Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:25.3411276Z DEVICE_NAME: 2025-12-04T09:17:25.3411470Z DEVICE_TYPE: 2025-12-04T09:17:25.3411665Z ##[endgroup] 2025-12-04T09:17:25.3432063Z ##[group]Run set -eux 2025-12-04T09:17:25.3432291Z set -eux 2025-12-04T09:17:25.3432494Z  2025-12-04T09:17:25.3432873Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:17:25.3437920Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:17:25.3438186Z env: 2025-12-04T09:17:25.3438361Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:25.3438604Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:25.3439049Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:25.3439391Z DEVICE_NAME: 2025-12-04T09:17:25.3439572Z DEVICE_TYPE: 2025-12-04T09:17:25.3439890Z GITHUB_TOKEN: *** 2025-12-04T09:17:25.3440066Z ##[endgroup] 2025-12-04T09:17:25.3466897Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19921726389 i-0b9d551adbd892c98 2025-12-04T09:17:26.8045423Z setting job-id=57113856424 2025-12-04T09:17:26.8046081Z setting job-name=inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T09:17:26.8148307Z ##[group]Run set -eux 2025-12-04T09:17:26.8148522Z set -eux 2025-12-04T09:17:26.8148681Z  2025-12-04T09:17:26.8148849Z if [[ -n "" ]]; then 2025-12-04T09:17:26.8149044Z  source "" 2025-12-04T09:17:26.8149204Z fi 2025-12-04T09:17:26.8149356Z  2025-12-04T09:17:26.8149639Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T09:17:26.8149976Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T09:17:26.8150208Z  --repo "${REPO}" \ 2025-12-04T09:17:26.8150498Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T09:17:26.8150735Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T09:17:26.8150957Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T09:17:26.8151201Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T09:17:26.8151423Z  --job-id "${JOB_ID}" \ 2025-12-04T09:17:26.8151641Z  --job-name "${JOB_NAME}" 2025-12-04T09:17:26.8156785Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:17:26.8157045Z env: 2025-12-04T09:17:26.8157215Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:26.8157402Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:26.8157705Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:26.8158030Z DEVICE_NAME: 2025-12-04T09:17:26.8158191Z DEVICE_TYPE: 2025-12-04T09:17:26.8158355Z SCHEMA_VERSION: v3 2025-12-04T09:17:26.8158536Z REPO: pytorch/pytorch 2025-12-04T09:17:26.8158714Z HEAD_BRANCH: refs/heads/main 2025-12-04T09:17:26.8158949Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:17:26.8159183Z WORKFLOW_RUN_ID: 19921726389 2025-12-04T09:17:26.8159364Z RUN_ATTEMPT: 1 2025-12-04T09:17:26.8159523Z JOB_ID: 57113856424 2025-12-04T09:17:26.8159829Z JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T09:17:26.8160163Z ##[endgroup] 2025-12-04T09:17:26.8186694Z + [[ -n '' ]] 2025-12-04T09:17:26.8188084Z + 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 57113856424 --job-name 'inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx)' 2025-12-04T09:17:26.8472560Z ##[group]Run set -eux 2025-12-04T09:17:26.8472770Z set -eux 2025-12-04T09:17:26.8472953Z  2025-12-04T09:17:26.8473106Z if [[ -n "" ]]; then 2025-12-04T09:17:26.8473305Z  source "" 2025-12-04T09:17:26.8473473Z fi 2025-12-04T09:17:26.8473616Z  2025-12-04T09:17:26.8473883Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T09:17:26.8478601Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:17:26.8478854Z env: 2025-12-04T09:17:26.8479014Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:26.8479205Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:26.8479509Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:26.8479816Z DEVICE_NAME: 2025-12-04T09:17:26.8480586Z DEVICE_TYPE: 2025-12-04T09:17:26.8480759Z ##[endgroup] 2025-12-04T09:17:26.8503919Z + [[ -n '' ]] 2025-12-04T09:17:26.8509327Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T09:17:26.8861390Z INFO:root:Fail to import torch to get the device name 2025-12-04T09:17:26.8959998Z ##[group]Run set -eux 2025-12-04T09:17:26.8960209Z set -eux 2025-12-04T09:17:26.8960375Z  2025-12-04T09:17:26.8960570Z # TODO (huydhn): Implement this part 2025-12-04T09:17:26.8960906Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:17:26.8966026Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:17:26.8966299Z env: 2025-12-04T09:17:26.8966473Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:26.8966673Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:26.8967005Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:26.8967332Z DEVICE_NAME: 2025-12-04T09:17:26.8967494Z DEVICE_TYPE: 2025-12-04T09:17:26.8967658Z ##[endgroup] 2025-12-04T09:17:26.8988227Z + echo 'dependencies={}' 2025-12-04T09:17:26.9009802Z ##[group]Run set -eux 2025-12-04T09:17:26.9010086Z set -eux 2025-12-04T09:17:26.9010250Z  2025-12-04T09:17:26.9010419Z if [[ -n "" ]]; then 2025-12-04T09:17:26.9010611Z  source "" 2025-12-04T09:17:26.9010786Z fi 2025-12-04T09:17:26.9010946Z  2025-12-04T09:17:26.9011140Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T09:17:26.9011452Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T09:17:26.9011782Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T09:17:26.9012056Z  exit 0 2025-12-04T09:17:26.9012209Z fi 2025-12-04T09:17:26.9012358Z  2025-12-04T09:17:26.9012539Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T09:17:26.9012847Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:17:26.9013206Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:17:26.9013488Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:17:26.9013723Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:17:26.9013949Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T09:17:26.9014174Z  --dry-run 2025-12-04T09:17:26.9014351Z else 2025-12-04T09:17:26.9014596Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:17:26.9014943Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:17:26.9015213Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:17:26.9015446Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:17:26.9015670Z  --dependencies "${DEPENDENCIES}" 2025-12-04T09:17:26.9015884Z fi 2025-12-04T09:17:26.9019938Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:17:26.9020183Z env: 2025-12-04T09:17:26.9020349Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:26.9020541Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:26.9020837Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:26.9021163Z DEVICE_NAME: 2025-12-04T09:17:26.9021329Z DEVICE_TYPE: 2025-12-04T09:17:26.9021741Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T09:17:26.9021969Z DRY_RUN: false 2025-12-04T09:17:26.9022797Z BENCHMARK_METADATA: {"timestamp": 1764839846, "schema_version": "v3", "name": "inductor-cpu-test / test (dynamic_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": 57113856424} 2025-12-04T09:17:26.9023939Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-22-86.ec2.internal"}, "name": "", "type": ""}] 2025-12-04T09:17:26.9024332Z DEPENDENCIES: {} 2025-12-04T09:17:26.9024498Z ##[endgroup] 2025-12-04T09:17:26.9045315Z + [[ -n '' ]] 2025-12-04T09:17:26.9045758Z + [[ ! -d test/test-reports ]] 2025-12-04T09:17:26.9045969Z + [[ false == \t\r\u\e ]] 2025-12-04T09:17:26.9047683Z + 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": 1764839846, "schema_version": "v3", "name": "inductor-cpu-test / test (dynamic_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": 57113856424}' --runners '[{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-22-86.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-12-04T09:17:27.0976762Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19921726389/57113856424/inference_torchbench.json 2025-12-04T09:17:27.1275414Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-12-04T09:17:27.3779470Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T09:17:27.3779743Z cat test/**/*_toprint.log || true 2025-12-04T09:17:27.3784326Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:17:27.3784576Z env: 2025-12-04T09:17:27.3784739Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:27.3784921Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:27.3785201Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:27.3785504Z DEVICE_NAME: 2025-12-04T09:17:27.3785662Z DEVICE_TYPE: 2025-12-04T09:17:27.3785810Z ##[endgroup] 2025-12-04T09:17:27.3862284Z cat: 'test/**/*_toprint.log': No such file or directory 2025-12-04T09:17:27.3896232Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:17:27.3896502Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:17:27.3901075Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:17:27.3901332Z env: 2025-12-04T09:17:27.3901506Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:27.3901704Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:27.3902007Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:27.3902353Z DEVICE_NAME: 2025-12-04T09:17:27.3902525Z DEVICE_TYPE: 2025-12-04T09:17:27.3902700Z MONITOR_SCRIPT_PID: 45226 2025-12-04T09:17:27.3902896Z ##[endgroup] 2025-12-04T09:17:27.3924543Z /home/ec2-user/actions-runner/_work/_temp/2517af34-7c92-483d-a083-e50f99751028.sh: line 1: kill: (45226) - No such process 2025-12-04T09:17:27.3938754Z ##[error]Process completed with exit code 1. 2025-12-04T09:17:27.4041816Z Prepare all required actions 2025-12-04T09:17:27.4042236Z Getting action download info 2025-12-04T09:17:27.5771312Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:17:27.8176744Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T09:17:28.2231331Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T09:17:28.2231579Z with: 2025-12-04T09:17:28.2231872Z file-suffix: test-dynamic_cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856424 2025-12-04T09:17:28.2232229Z s3-bucket: gha-artifacts 2025-12-04T09:17:28.2232410Z env: 2025-12-04T09:17:28.2232567Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:28.2232756Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:28.2233055Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:28.2233381Z DEVICE_NAME: 2025-12-04T09:17:28.2233547Z DEVICE_TYPE: 2025-12-04T09:17:28.2233738Z ##[endgroup] 2025-12-04T09:17:28.2259407Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T09:17:28.2259736Z # Remove any previous test jsons if they exist 2025-12-04T09:17:28.2260007Z rm -f test-jsons-*.zip 2025-12-04T09:17:28.2260322Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T09:17:28.2265209Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:17:28.2265456Z env: 2025-12-04T09:17:28.2265623Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:28.2265811Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:28.2266176Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:28.2266496Z DEVICE_NAME: 2025-12-04T09:17:28.2266661Z DEVICE_TYPE: 2025-12-04T09:17:28.2266935Z FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856424 2025-12-04T09:17:28.2267246Z ##[endgroup] 2025-12-04T09:17:28.2466999Z adding: test/test-reports/inference_torchbench.json (deflated 99%) 2025-12-04T09:17:28.2491980Z ##[group]Run # Remove any previous test reports if they exist 2025-12-04T09:17:28.2492317Z # Remove any previous test reports if they exist 2025-12-04T09:17:28.2492660Z rm -f test-reports-*.zip 2025-12-04T09:17:28.2492986Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-12-04T09:17:28.2497785Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:17:28.2498032Z env: 2025-12-04T09:17:28.2498200Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:28.2498399Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:28.2498692Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:28.2499010Z DEVICE_NAME: 2025-12-04T09:17:28.2499176Z DEVICE_TYPE: 2025-12-04T09:17:28.2499451Z FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856424 2025-12-04T09:17:28.2499765Z ##[endgroup] 2025-12-04T09:17:28.2546411Z adding: test/test-reports/inference_torchbench.csv (deflated 60%) 2025-12-04T09:17:28.2564132Z adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 97%) 2025-12-04T09:17:28.2565822Z adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 80%) 2025-12-04T09:17:28.2593773Z ##[group]Run # Remove any previous usage logs if they exist 2025-12-04T09:17:28.2594090Z # Remove any previous usage logs if they exist 2025-12-04T09:17:28.2594347Z rm -f logs-*.zip 2025-12-04T09:17:28.2594594Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-12-04T09:17:28.2594943Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-12-04T09:17:28.2599644Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:17:28.2599905Z env: 2025-12-04T09:17:28.2600079Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:28.2600275Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:28.2600725Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:28.2601376Z DEVICE_NAME: 2025-12-04T09:17:28.2601561Z DEVICE_TYPE: 2025-12-04T09:17:28.2601860Z FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856424 2025-12-04T09:17:28.2602191Z ##[endgroup] 2025-12-04T09:17:28.2666041Z adding: usage_log.txt (deflated 58%) 2025-12-04T09:17:28.2674563Z 2025-12-04T09:17:28.2675433Z zip error: Nothing to do! (logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856424.zip) 2025-12-04T09:17:28.2699693Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T09:17:28.2700089Z # Remove any previous debugging artifacts if they exist 2025-12-04T09:17:28.2700361Z rm -f debug-*.zip 2025-12-04T09:17:28.2700570Z if [ -d 'test/debug' ]; then 2025-12-04T09:17:28.2700819Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T09:17:28.2701041Z fi 2025-12-04T09:17:28.2705683Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:17:28.2705943Z env: 2025-12-04T09:17:28.2706105Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:28.2706296Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:28.2706606Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:28.2706926Z DEVICE_NAME: 2025-12-04T09:17:28.2707094Z DEVICE_TYPE: 2025-12-04T09:17:28.2707379Z FILE_SUFFIX: test-dynamic_cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856424 2025-12-04T09:17:28.2707684Z ##[endgroup] 2025-12-04T09:17:28.2783572Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:17:28.2783810Z with: 2025-12-04T09:17:28.2783971Z s3-bucket: gha-artifacts 2025-12-04T09:17:28.2784199Z s3-prefix: pytorch/pytorch/19921726389/1/artifact 2025-12-04T09:17:28.2784428Z retention-days: 14 2025-12-04T09:17:28.2784636Z if-no-files-found: warn 2025-12-04T09:17:28.2784827Z path: test-jsons-*.zip 2025-12-04T09:17:28.2785016Z name: artifact 2025-12-04T09:17:28.2785178Z region: us-east-1 2025-12-04T09:17:28.2785341Z env: 2025-12-04T09:17:28.2785500Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:28.2785678Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:28.2785978Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:28.2786391Z DEVICE_NAME: 2025-12-04T09:17:28.2786555Z DEVICE_TYPE: 2025-12-04T09:17:28.2786712Z ##[endgroup] 2025-12-04T09:17:28.5829464Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:17:28.5829942Z With the provided path, there will be 1 file uploaded 2025-12-04T09:17:28.5830314Z Uploading to s3 prefix: pytorch/pytorch/19921726389/1/artifact 2025-12-04T09:17:28.5871230Z Starting upload of test-jsons-test-dynamic_cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856424.zip 2025-12-04T09:17:28.6987814Z Finished upload of test-jsons-test-dynamic_cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856424.zip 2025-12-04T09:17:28.7158741Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:17:28.7158991Z with: 2025-12-04T09:17:28.7159172Z s3-bucket: gha-artifacts 2025-12-04T09:17:28.7159411Z s3-prefix: pytorch/pytorch/19921726389/1/artifact 2025-12-04T09:17:28.7159650Z retention-days: 14 2025-12-04T09:17:28.7159849Z if-no-files-found: error 2025-12-04T09:17:28.7160052Z path: test-reports-*.zip 2025-12-04T09:17:28.7160232Z name: artifact 2025-12-04T09:17:28.7160405Z region: us-east-1 2025-12-04T09:17:28.7160576Z env: 2025-12-04T09:17:28.7160729Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:28.7160917Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:28.7161475Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:28.7161814Z DEVICE_NAME: 2025-12-04T09:17:28.7161984Z DEVICE_TYPE: 2025-12-04T09:17:28.7162160Z ##[endgroup] 2025-12-04T09:17:29.0162526Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:17:29.0162904Z With the provided path, there will be 1 file uploaded 2025-12-04T09:17:29.0163616Z Uploading to s3 prefix: pytorch/pytorch/19921726389/1/artifact 2025-12-04T09:17:29.0195919Z Starting upload of test-reports-test-dynamic_cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856424.zip 2025-12-04T09:17:29.1513782Z Finished upload of test-reports-test-dynamic_cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856424.zip 2025-12-04T09:17:29.1696593Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:17:29.1696850Z with: 2025-12-04T09:17:29.1697027Z s3-bucket: gha-artifacts 2025-12-04T09:17:29.1697268Z s3-prefix: pytorch/pytorch/19921726389/1/artifact 2025-12-04T09:17:29.1697522Z retention-days: 14 2025-12-04T09:17:29.1697727Z if-no-files-found: ignore 2025-12-04T09:17:29.1697933Z path: logs-*.zip 2025-12-04T09:17:29.1698104Z name: artifact 2025-12-04T09:17:29.1698279Z region: us-east-1 2025-12-04T09:17:29.1698453Z env: 2025-12-04T09:17:29.1698611Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:29.1698809Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:29.1699138Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:29.1699570Z DEVICE_NAME: 2025-12-04T09:17:29.1699791Z DEVICE_TYPE: 2025-12-04T09:17:29.1699965Z ##[endgroup] 2025-12-04T09:17:29.4396289Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:17:29.4396697Z With the provided path, there will be 1 file uploaded 2025-12-04T09:17:29.4397155Z Uploading to s3 prefix: pytorch/pytorch/19921726389/1/artifact 2025-12-04T09:17:29.4428037Z Starting upload of logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856424.zip 2025-12-04T09:17:29.5525625Z Finished upload of logs-test-dynamic_cpu_inductor_torchbench-1-2-linux.2xlarge.amx_57113856424.zip 2025-12-04T09:17:29.5683985Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:17:29.5684227Z with: 2025-12-04T09:17:29.5684405Z s3-bucket: gha-artifacts 2025-12-04T09:17:29.5684652Z s3-prefix: pytorch/pytorch/19921726389/1/artifact 2025-12-04T09:17:29.5684923Z retention-days: 14 2025-12-04T09:17:29.5685127Z if-no-files-found: ignore 2025-12-04T09:17:29.5685339Z path: debug-*.zip 2025-12-04T09:17:29.5685513Z name: artifact 2025-12-04T09:17:29.5685692Z region: us-east-1 2025-12-04T09:17:29.5685870Z env: 2025-12-04T09:17:29.5686102Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:29.5686300Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:29.5686617Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:29.5686953Z DEVICE_NAME: 2025-12-04T09:17:29.5687121Z DEVICE_TYPE: 2025-12-04T09:17:29.5687292Z ##[endgroup] 2025-12-04T09:17:29.8313776Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T09:17:29.8487167Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T09:17:29.8487438Z # shellcheck disable=SC2156 2025-12-04T09:17:29.8487827Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T09:17:29.8492516Z shell: /usr/bin/bash -e {0} 2025-12-04T09:17:29.8492714Z env: 2025-12-04T09:17:29.8492876Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:29.8493063Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:29.8493369Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:29.8493696Z DEVICE_NAME: 2025-12-04T09:17:29.8493860Z DEVICE_TYPE: 2025-12-04T09:17:29.8494015Z ##[endgroup] 2025-12-04T09:17:30.0458736Z Prepare all required actions 2025-12-04T09:17:30.0459101Z Getting action download info 2025-12-04T09:17:30.2133332Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T09:17:30.5223683Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T09:17:30.5223952Z with: 2025-12-04T09:17:30.5224119Z job_id: 57113856424 2025-12-04T09:17:30.5224436Z job_name: inductor-cpu-test / test (dynamic_cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) 2025-12-04T09:17:30.5224778Z workflow_name: inductor 2025-12-04T09:17:30.5224964Z workflow_run_id: 19921726389 2025-12-04T09:17:30.5225161Z workflow_attempt: 1 2025-12-04T09:17:30.5225337Z env: 2025-12-04T09:17:30.5225491Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:30.5225686Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:30.5226004Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:30.5226331Z DEVICE_NAME: 2025-12-04T09:17:30.5226529Z DEVICE_TYPE: 2025-12-04T09:17:30.5226689Z ##[endgroup] 2025-12-04T09:17:30.5261084Z ##[group]Run actions/setup-python@v6 2025-12-04T09:17:30.5261336Z with: 2025-12-04T09:17:30.5261530Z python-version: 3.10 2025-12-04T09:17:30.5261731Z check-latest: false 2025-12-04T09:17:30.5261999Z token: *** 2025-12-04T09:17:30.5262191Z update-environment: true 2025-12-04T09:17:30.5262402Z allow-prereleases: false 2025-12-04T09:17:30.5262605Z freethreaded: false 2025-12-04T09:17:30.5262782Z env: 2025-12-04T09:17:30.5262951Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:30.5263154Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:30.5263479Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:30.5263837Z DEVICE_NAME: 2025-12-04T09:17:30.5264019Z DEVICE_TYPE: 2025-12-04T09:17:30.5264194Z ##[endgroup] 2025-12-04T09:17:31.0080213Z ##[group]Installed versions 2025-12-04T09:17:31.0094999Z Version 3.10 was not found in the local cache 2025-12-04T09:17:31.0371932Z (node:57571) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T09:17:31.0372577Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:17:31.3406012Z ##[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 2025-12-04T09:17:31.3585484Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T09:17:31.3585827Z with: 2025-12-04T09:17:31.3586009Z env: 2025-12-04T09:17:31.3586203Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:31.3586440Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:31.3586795Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:31.3587253Z DEVICE_NAME: 2025-12-04T09:17:31.3587446Z DEVICE_TYPE: 2025-12-04T09:17:31.3587626Z ##[endgroup] 2025-12-04T09:17:31.3606636Z ##[group]Run set -eou pipefail 2025-12-04T09:17:31.3606907Z set -eou pipefail 2025-12-04T09:17:31.3607127Z  2025-12-04T09:17:31.3607442Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T09:17:31.3607808Z for _ in $(seq 1440); do 2025-12-04T09:17:31.3608086Z  # Break if no ssh session exists anymore 2025-12-04T09:17:31.3608371Z  if [ "$(who)" = "" ]; then 2025-12-04T09:17:31.3608645Z  break 2025-12-04T09:17:31.3608848Z  fi 2025-12-04T09:17:31.3609055Z  echo "." 2025-12-04T09:17:31.3609256Z  sleep 5 2025-12-04T09:17:31.3609443Z done 2025-12-04T09:17:31.3614447Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:17:31.3614715Z env: 2025-12-04T09:17:31.3614880Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:31.3615079Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:31.3615391Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:31.3615725Z DEVICE_NAME: 2025-12-04T09:17:31.3615896Z DEVICE_TYPE: 2025-12-04T09:17:31.3616074Z ##[endgroup] 2025-12-04T09:17:31.3639753Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T09:17:31.3733239Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:17:31.3733600Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:17:31.3733886Z # shellcheck disable=SC2046 2025-12-04T09:17:31.3734107Z docker stop $(docker ps -q) || true 2025-12-04T09:17:31.3734329Z # Prune all of the docker images 2025-12-04T09:17:31.3734538Z docker system prune -af 2025-12-04T09:17:31.3739749Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:17:31.3740010Z env: 2025-12-04T09:17:31.3740169Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:17:31.3740361Z HAS_NVIDIA_GPU: false 2025-12-04T09:17:31.3740664Z DOCKER_CONTAINER_ID: c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:31.3740975Z DEVICE_NAME: 2025-12-04T09:17:31.3741144Z DEVICE_TYPE: 2025-12-04T09:17:31.3741317Z ##[endgroup] 2025-12-04T09:17:42.0589228Z c3af0468611f 2025-12-04T09:17:42.8362322Z Deleted Containers: 2025-12-04T09:17:42.8362708Z c3af0468611f4ec76a392e4081979f66f3ea1f4149570d3510064e723f13ea33 2025-12-04T09:17:42.8362942Z 2025-12-04T09:18:07.0749880Z Deleted Images: 2025-12-04T09:18:07.0750623Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:18:07.0751475Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:b178ee928adfcab963ebbc6ea05ea1a0f0c605bb095e9076f010bf92d150869d 2025-12-04T09:18:07.0752063Z deleted: sha256:40bd34edc3497e05e2150804a15313235b6426bcc4b8c19c03c3daf5524be913 2025-12-04T09:18:07.0752481Z deleted: sha256:947006dce32e090f6b67d556f519398b957121651577f10819c7b179a5b6b938 2025-12-04T09:18:07.0752890Z deleted: sha256:dca16630fc5508e008012b760ac178fac5af74cb679706a3d9898100501d6f8e 2025-12-04T09:18:07.0753633Z deleted: sha256:a35e2e4cfaaa05e1f193fbe67c4151ded52737cb30c75429050cb7cd7777da23 2025-12-04T09:18:07.0754076Z deleted: sha256:d91e1a0a76e64abd7933fc58b8a553d76ac6cd82269c1bf701ade4e2c5ab58ff 2025-12-04T09:18:07.0754493Z deleted: 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[command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-12-04T09:18:07.8503816Z [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' || :" 2025-12-04T09:18:07.8808852Z Entering 'android/libs/fbjni' 2025-12-04T09:18:07.8843919Z http.https://github.com/.extraheader 2025-12-04T09:18:07.8881368Z Entering 'third_party/FP16' 2025-12-04T09:18:07.8916443Z http.https://github.com/.extraheader 2025-12-04T09:18:07.8956807Z Entering 'third_party/FXdiv' 2025-12-04T09:18:07.8990705Z http.https://github.com/.extraheader 2025-12-04T09:18:07.9030525Z Entering 'third_party/NNPACK' 2025-12-04T09:18:07.9070737Z http.https://github.com/.extraheader 2025-12-04T09:18:07.9101421Z Entering 'third_party/NVTX' 2025-12-04T09:18:07.9138059Z http.https://github.com/.extraheader 2025-12-04T09:18:07.9176402Z Entering 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