2025-08-14T21:22:48.0725686Z Current runner version: '2.328.0' 2025-08-14T21:22:48.0732332Z Runner name: 'i-0c68087759510ebf3' 2025-08-14T21:22:48.0733355Z Runner group name: 'default' 2025-08-14T21:22:48.0734154Z Machine name: 'ip-10-0-34-97' 2025-08-14T21:22:48.0737012Z ##[group]GITHUB_TOKEN Permissions 2025-08-14T21:22:48.0739453Z Contents: read 2025-08-14T21:22:48.0739886Z Metadata: read 2025-08-14T21:22:48.0740393Z ##[endgroup] 2025-08-14T21:22:48.0742397Z Secret source: Actions 2025-08-14T21:22:48.0743008Z Prepare workflow directory 2025-08-14T21:22:48.1182407Z Prepare all required actions 2025-08-14T21:22:48.1218160Z Getting action download info 2025-08-14T21:22:48.3886246Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84) 2025-08-14T21:22:49.7338650Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08) 2025-08-14T21:23:03.1237511Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-08-14T21:23:03.4706564Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-14T21:23:03.7367678Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-14T21:23:03.9382960Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:23:04.2438086Z Getting action download info 2025-08-14T21:23:04.3531922Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-14T21:23:04.6173045Z Getting action download info 2025-08-14T21:23:04.7250156Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-14T21:23:04.9189239Z Getting action download info 2025-08-14T21:23:05.0252176Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-08-14T21:23:05.2448720Z Getting action download info 2025-08-14T21:23:05.3931312Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2) 2025-08-14T21:23:05.3934872Z ##[group] Inputs 2025-08-14T21:23:05.3935196Z build-environment: linux-jammy-py3.9-gcc11-build 2025-08-14T21:23:05.3940219Z test-matrix: {"include": [{"config": "cpu_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}]} 2025-08-14T21:23:05.3945610Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:05.3946288Z sync-tag: 2025-08-14T21:23:05.3947093Z timeout-minutes: 240 2025-08-14T21:23:05.3947322Z use-gha: 2025-08-14T21:23:05.3947525Z dashboard-tag: 2025-08-14T21:23:05.3947744Z s3-bucket: gha-artifacts 2025-08-14T21:23:05.3947986Z aws-role-to-assume: 2025-08-14T21:23:05.3948457Z disable-monitor: false 2025-08-14T21:23:05.3948725Z monitor-log-interval: 5 2025-08-14T21:23:05.3949010Z monitor-data-collect-interval: 1 2025-08-14T21:23:05.3949273Z ##[endgroup] 2025-08-14T21:23:05.3949713Z Complete job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:23:05.4466649Z A job started hook has been configured by the self-hosted runner administrator 2025-08-14T21:23:05.4550307Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-08-14T21:23:05.4557508Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:05.4558000Z ##[endgroup] 2025-08-14T21:23:06.4956868Z Runner Type: linux.8xlarge.amx 2025-08-14T21:23:06.4957553Z Instance Type: m7i-flex.8xlarge 2025-08-14T21:23:06.4957854Z AMI Name: unknown 2025-08-14T21:23:06.4983467Z AMI ID: ami-05ffe3c48a9991133 2025-08-14T21:23:11.1026180Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-08-14T21:23:11.1026673Z with: 2025-08-14T21:23:11.1027352Z github-secret: *** 2025-08-14T21:23:11.1027909Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-08-14T21:23:11.1028541Z activate-with-label: false 2025-08-14T21:23:11.1028797Z label: with-ssh 2025-08-14T21:23:11.1029052Z remove-existing-keys: true 2025-08-14T21:23:11.1029387Z fail-silently: true 2025-08-14T21:23:11.1029619Z env: 2025-08-14T21:23:11.1029855Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:11.1030198Z ##[endgroup] 2025-08-14T21:23:11.2057630Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-08-14T21:23:11.2058591Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-08-14T21:23:11.2287600Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-14T21:23:11.2287942Z with: 2025-08-14T21:23:11.2288131Z no-sudo: true 2025-08-14T21:23:11.2288309Z submodules: recursive 2025-08-14T21:23:11.2288514Z fetch-depth: 0 2025-08-14T21:23:11.2288693Z env: 2025-08-14T21:23:11.2288850Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:11.2289062Z ##[endgroup] 2025-08-14T21:23:11.2355736Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:23:11.2356391Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:23:11.2364403Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:11.2364681Z env: 2025-08-14T21:23:11.2364888Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:11.2365306Z ##[endgroup] 2025-08-14T21:23:11.2444688Z ##[group]Run # Use all available CPUs for fetching 2025-08-14T21:23:11.2445040Z # Use all available CPUs for fetching 2025-08-14T21:23:11.2445281Z cd "${GITHUB_WORKSPACE}" 2025-08-14T21:23:11.2445528Z git config --global fetch.parallel 0 2025-08-14T21:23:11.2445797Z git config --global submodule.fetchJobs 0 2025-08-14T21:23:11.2446025Z  2025-08-14T21:23:11.2446283Z # Clean workspace. The default checkout action should also do this, but 2025-08-14T21:23:11.2446595Z # do it here as well just in case 2025-08-14T21:23:11.2446811Z if [[ -d .git ]]; then 2025-08-14T21:23:11.2447023Z  if [ -z "${NO_SUDO}" ]; then 2025-08-14T21:23:11.2447239Z  sudo git clean -ffdx 2025-08-14T21:23:11.2447438Z  else 2025-08-14T21:23:11.2447607Z  git clean -ffdx 2025-08-14T21:23:11.2447795Z  fi 2025-08-14T21:23:11.2447975Z fi 2025-08-14T21:23:11.2453332Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:11.2453598Z env: 2025-08-14T21:23:11.2453879Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:11.2454089Z NO_SUDO: true 2025-08-14T21:23:11.2454261Z ##[endgroup] 2025-08-14T21:23:11.2560316Z ##[group]Run actions/checkout@v4 2025-08-14T21:23:11.2560593Z with: 2025-08-14T21:23:11.2560821Z ref: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:23:11.2561103Z fetch-depth: 0 2025-08-14T21:23:11.2561311Z submodules: recursive 2025-08-14T21:23:11.2561539Z show-progress: false 2025-08-14T21:23:11.2561775Z repository: pytorch/pytorch 2025-08-14T21:23:11.2562112Z token: *** 2025-08-14T21:23:11.2562306Z ssh-strict: true 2025-08-14T21:23:11.2562508Z ssh-user: git 2025-08-14T21:23:11.2562724Z persist-credentials: true 2025-08-14T21:23:11.2562953Z clean: true 2025-08-14T21:23:11.2563186Z sparse-checkout-cone-mode: true 2025-08-14T21:23:11.2563441Z fetch-tags: false 2025-08-14T21:23:11.2563648Z lfs: false 2025-08-14T21:23:11.2563850Z set-safe-directory: true 2025-08-14T21:23:11.2564088Z env: 2025-08-14T21:23:11.2564272Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:11.2564495Z ##[endgroup] 2025-08-14T21:23:11.3538482Z Syncing repository: pytorch/pytorch 2025-08-14T21:23:11.3539635Z ##[group]Getting Git version info 2025-08-14T21:23:11.3539987Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:23:11.3540455Z [command]/usr/bin/git version 2025-08-14T21:23:11.3540691Z git version 2.47.1 2025-08-14T21:23:11.3557785Z ##[endgroup] 2025-08-14T21:23:11.3566815Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/11a5d7c4-16bc-4d11-902d-7d5a2e9d8dbe/.gitconfig' 2025-08-14T21:23:11.3597838Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/11a5d7c4-16bc-4d11-902d-7d5a2e9d8dbe' before making global git config changes 2025-08-14T21:23:11.3598549Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:23:11.3605387Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:23:11.3645262Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:23:11.3650467Z ##[group]Initializing the repository 2025-08-14T21:23:11.3652958Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:23:11.3685477Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-14T21:23:11.3685952Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-14T21:23:11.3686342Z hint: of your new repositories, which will suppress this warning, call: 2025-08-14T21:23:11.3686632Z hint: 2025-08-14T21:23:11.3686879Z hint: git config --global init.defaultBranch 2025-08-14T21:23:11.3687127Z hint: 2025-08-14T21:23:11.3687361Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-14T21:23:11.3688029Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-14T21:23:11.3688323Z hint: 2025-08-14T21:23:11.3688490Z hint: git branch -m 2025-08-14T21:23:11.3688834Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-08-14T21:23:11.3695716Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-14T21:23:11.3726099Z ##[endgroup] 2025-08-14T21:23:11.3726539Z ##[group]Disabling automatic garbage collection 2025-08-14T21:23:11.3726862Z [command]/usr/bin/git config --local gc.auto 0 2025-08-14T21:23:11.3757212Z ##[endgroup] 2025-08-14T21:23:11.3757551Z ##[group]Setting up auth 2025-08-14T21:23:11.3758395Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:23:11.3789727Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-08-14T21:23:11.4102075Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:23:11.4128442Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-08-14T21:23:11.4435474Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:23:11.4491930Z ##[endgroup] 2025-08-14T21:23:11.4492335Z ##[group]Fetching the repository 2025-08-14T21:23:11.4499492Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-14T21:23:57.0757962Z From https://github.com/pytorch/pytorch 2025-08-14T21:23:57.0760332Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-14T21:23:57.0760773Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-14T21:23:57.0764593Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-14T21:23:57.0765099Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-14T21:23:57.0765581Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-14T21:23:57.0766040Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-14T21:23:57.0766444Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-14T21:23:57.0766831Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-14T21:23:57.0767214Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-14T21:23:57.0767581Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-14T21:23:57.0768295Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-14T21:23:57.0768747Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-14T21:23:57.0769205Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-14T21:23:57.0769577Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-14T21:23:57.0769956Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-14T21:23:57.0770323Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-14T21:23:57.0770674Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-14T21:23:57.0771200Z * [new branch] addsimde -> origin/addsimde 2025-08-14T21:23:57.0771649Z * [new branch] addvllpinnedfile -> origin/addvllpinnedfile 2025-08-14T21:23:57.0772020Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-14T21:23:57.0772345Z * [new branch] adi/skip_slow_tests -> origin/adi/skip_slow_tests 2025-08-14T21:23:57.0772669Z * [new branch] adi/test -> origin/adi/test 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origin/angelayi/aoti_additional_files 2025-08-14T21:23:57.0781453Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-14T21:23:57.0781892Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-14T21:23:57.0782346Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-14T21:23:57.0782730Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-14T21:23:57.0783177Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-14T21:23:57.0783605Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-14T21:23:57.0784140Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-14T21:23:57.0785162Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-14T21:23:57.0785587Z * [new branch] angelayi/del_lib -> origin/angelayi/del_lib 2025-08-14T21:23:57.0786440Z 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2025-08-14T21:23:57.4712107Z * [new branch] zxiiro/get-hardware -> origin/zxiiro/get-hardware 2025-08-14T21:23:57.4712248Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-08-14T21:23:57.4712370Z * [new branch] zxiiro/test -> origin/zxiiro/test 2025-08-14T21:23:57.4712676Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-08-14T21:23:57.4712810Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-08-14T21:23:57.4712939Z * [new tag] ciflow/binaries/138996 -> ciflow/binaries/138996 2025-08-14T21:23:57.4713070Z * [new tag] ciflow/binaries/143959 -> ciflow/binaries/143959 2025-08-14T21:23:57.4713190Z * [new tag] ciflow/binaries/154595 -> ciflow/binaries/154595 2025-08-14T21:23:57.4713365Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-08-14T21:23:57.4713494Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-08-14T21:23:57.4713613Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-08-14T21:23:57.4713739Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-08-14T21:23:57.4713866Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-08-14T21:23:57.4714150Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-08-14T21:23:57.4714293Z * [new tag] ciflow/binaries/158623 -> ciflow/binaries/158623 2025-08-14T21:23:57.4714495Z * [new tag] ciflow/binaries/159827 -> ciflow/binaries/159827 2025-08-14T21:23:57.4716016Z * [new tag] ciflow/binaries/159869 -> ciflow/binaries/159869 2025-08-14T21:23:57.4716369Z * [new tag] ciflow/binaries/160593 -> ciflow/binaries/160593 2025-08-14T21:23:57.4716571Z * [new tag] ciflow/binaries_libtorch/143959 -> ciflow/binaries_libtorch/143959 2025-08-14T21:23:57.4716991Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-08-14T21:23:57.4717447Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-08-14T21:23:57.4719418Z * [new tag] ciflow/binaries_wheel/143959 -> ciflow/binaries_wheel/143959 2025-08-14T21:23:57.4719887Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-08-14T21:23:57.4720067Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-08-14T21:23:57.4720217Z * [new tag] ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733 2025-08-14T21:23:57.4720346Z * [new tag] ciflow/binaries_wheel/160301 -> ciflow/binaries_wheel/160301 2025-08-14T21:23:57.4720642Z * [new tag] ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496 2025-08-14T21:23:57.4722139Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-08-14T21:23:57.4722474Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-14T21:23:57.4722651Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-14T21:23:57.4722988Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-14T21:23:57.4725129Z * [new tag] ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118 2025-08-14T21:23:57.4725304Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-14T21:23:57.4725444Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-14T21:23:57.4725579Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-14T21:23:57.4726021Z * [new tag] ciflow/h100/160450 -> ciflow/h100/160450 2025-08-14T21:23:57.4726607Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-08-14T21:23:57.4727173Z * [new tag] ciflow/h100/160614 -> ciflow/h100/160614 2025-08-14T21:23:57.4728199Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-14T21:23:57.4728452Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538 2025-08-14T21:23:57.4729591Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599 2025-08-14T21:23:57.4729772Z * [new tag] ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406 2025-08-14T21:23:57.4730362Z * [new tag] ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538 2025-08-14T21:23:57.4731087Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-14T21:23:57.4731396Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-14T21:23:57.4731995Z * [new tag] ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073 2025-08-14T21:23:57.4732432Z * [new tag] ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538 2025-08-14T21:23:57.4733187Z * [new tag] ciflow/inductor/134881 -> ciflow/inductor/134881 2025-08-14T21:23:57.4733598Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-08-14T21:23:57.4733895Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-08-14T21:23:57.4734339Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-08-14T21:23:57.4734816Z * [new tag] ciflow/inductor/147360 -> ciflow/inductor/147360 2025-08-14T21:23:57.4735336Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-08-14T21:23:57.4735818Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-08-14T21:23:57.4736315Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-08-14T21:23:57.4736795Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-08-14T21:23:57.4737252Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-14T21:23:57.4737746Z * [new tag] ciflow/inductor/150302 -> ciflow/inductor/150302 2025-08-14T21:23:57.4738715Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-14T21:23:57.4738876Z * [new tag] ciflow/inductor/152198 -> ciflow/inductor/152198 2025-08-14T21:23:57.4742093Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-08-14T21:23:57.4742283Z * [new tag] ciflow/inductor/153966 -> ciflow/inductor/153966 2025-08-14T21:23:57.4742413Z * [new tag] ciflow/inductor/154193 -> ciflow/inductor/154193 2025-08-14T21:23:57.4742549Z * [new tag] ciflow/inductor/154650 -> ciflow/inductor/154650 2025-08-14T21:23:57.4742675Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-14T21:23:57.4742807Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-14T21:23:57.4743096Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-14T21:23:57.4743246Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-14T21:23:57.4743392Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-14T21:23:57.4744056Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-14T21:23:57.4744662Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-14T21:23:57.4744934Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-14T21:23:57.4749257Z * [new tag] ciflow/inductor/155504 -> ciflow/inductor/155504 2025-08-14T21:23:57.4751410Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-14T21:23:57.4751650Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-14T21:23:57.4756658Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-14T21:23:57.4758517Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-14T21:23:57.4758839Z * [new tag] ciflow/inductor/155958 -> ciflow/inductor/155958 2025-08-14T21:23:57.4758987Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-08-14T21:23:57.4759426Z * [new tag] ciflow/inductor/156851 -> ciflow/inductor/156851 2025-08-14T21:23:57.4759571Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-14T21:23:57.4759789Z * [new tag] ciflow/inductor/157148 -> ciflow/inductor/157148 2025-08-14T21:23:57.4759931Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-08-14T21:23:57.4760140Z * [new tag] ciflow/inductor/157152 -> ciflow/inductor/157152 2025-08-14T21:23:57.4760302Z * [new tag] ciflow/inductor/157542 -> ciflow/inductor/157542 2025-08-14T21:23:57.4760432Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-14T21:23:57.4760558Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-14T21:23:57.4760678Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-08-14T21:23:57.4760805Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-08-14T21:23:57.4760930Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-08-14T21:23:57.4761182Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-08-14T21:23:57.4761814Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-14T21:23:57.4761990Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-14T21:23:57.4762117Z * [new tag] ciflow/inductor/157971 -> ciflow/inductor/157971 2025-08-14T21:23:57.4762250Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-08-14T21:23:57.4762376Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-14T21:23:57.4762500Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-08-14T21:23:57.4762656Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-14T21:23:57.4762780Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-14T21:23:57.4762902Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-14T21:23:57.4763032Z * [new tag] ciflow/inductor/158168 -> ciflow/inductor/158168 2025-08-14T21:23:57.4763155Z * [new tag] ciflow/inductor/158250 -> ciflow/inductor/158250 2025-08-14T21:23:57.4763282Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-14T21:23:57.4763401Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-14T21:23:57.4763520Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-08-14T21:23:57.4763650Z * [new tag] ciflow/inductor/158914 -> ciflow/inductor/158914 2025-08-14T21:23:57.4763914Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-14T21:23:57.4764055Z * [new tag] ciflow/inductor/158987 -> ciflow/inductor/158987 2025-08-14T21:23:57.4766083Z * [new tag] ciflow/inductor/159009 -> ciflow/inductor/159009 2025-08-14T21:23:57.4766365Z * [new tag] ciflow/inductor/159010 -> ciflow/inductor/159010 2025-08-14T21:23:57.4766497Z * [new tag] ciflow/inductor/159093 -> ciflow/inductor/159093 2025-08-14T21:23:57.4766628Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-14T21:23:57.4766760Z * [new tag] ciflow/inductor/159197 -> ciflow/inductor/159197 2025-08-14T21:23:57.4766885Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-14T21:23:57.4767245Z * [new tag] ciflow/inductor/159281 -> ciflow/inductor/159281 2025-08-14T21:23:57.4767447Z * [new tag] ciflow/inductor/159329 -> ciflow/inductor/159329 2025-08-14T21:23:57.4767804Z * [new tag] ciflow/inductor/159361 -> ciflow/inductor/159361 2025-08-14T21:23:57.4768570Z * [new tag] ciflow/inductor/159365 -> ciflow/inductor/159365 2025-08-14T21:23:57.4769685Z * [new tag] ciflow/inductor/159366 -> ciflow/inductor/159366 2025-08-14T21:23:57.4769824Z * [new tag] ciflow/inductor/159367 -> ciflow/inductor/159367 2025-08-14T21:23:57.4769951Z * [new tag] ciflow/inductor/159368 -> ciflow/inductor/159368 2025-08-14T21:23:57.4771089Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-14T21:23:57.4771913Z * [new tag] ciflow/inductor/159483 -> ciflow/inductor/159483 2025-08-14T21:23:57.4772046Z * [new tag] ciflow/inductor/159508 -> ciflow/inductor/159508 2025-08-14T21:23:57.4772187Z * [new tag] ciflow/inductor/159523 -> ciflow/inductor/159523 2025-08-14T21:23:57.4772767Z * [new tag] ciflow/inductor/159678 -> ciflow/inductor/159678 2025-08-14T21:23:57.4773132Z * [new tag] ciflow/inductor/159691 -> ciflow/inductor/159691 2025-08-14T21:23:57.4776896Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-14T21:23:57.4777067Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-14T21:23:57.4777205Z * [new tag] ciflow/inductor/159817 -> ciflow/inductor/159817 2025-08-14T21:23:57.4777331Z * [new tag] ciflow/inductor/159842 -> ciflow/inductor/159842 2025-08-14T21:23:57.4777467Z * [new tag] ciflow/inductor/159864 -> ciflow/inductor/159864 2025-08-14T21:23:57.4777592Z * [new tag] ciflow/inductor/159865 -> ciflow/inductor/159865 2025-08-14T21:23:57.4777731Z * [new tag] ciflow/inductor/159869 -> ciflow/inductor/159869 2025-08-14T21:23:57.4777870Z * [new tag] ciflow/inductor/159875 -> ciflow/inductor/159875 2025-08-14T21:23:57.4777998Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-14T21:23:57.4778120Z * [new tag] ciflow/inductor/159902 -> ciflow/inductor/159902 2025-08-14T21:23:57.4778629Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-14T21:23:57.4780036Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-14T21:23:57.4780175Z * [new tag] ciflow/inductor/160004 -> ciflow/inductor/160004 2025-08-14T21:23:57.4780329Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-14T21:23:57.4781240Z * [new tag] ciflow/inductor/160108 -> ciflow/inductor/160108 2025-08-14T21:23:57.4781563Z * [new tag] ciflow/inductor/160109 -> ciflow/inductor/160109 2025-08-14T21:23:57.4782368Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-14T21:23:57.4782595Z * [new tag] ciflow/inductor/160113 -> ciflow/inductor/160113 2025-08-14T21:23:57.4783080Z * [new tag] ciflow/inductor/160127 -> ciflow/inductor/160127 2025-08-14T21:23:57.4785740Z * [new tag] ciflow/inductor/160131 -> ciflow/inductor/160131 2025-08-14T21:23:57.4785906Z * [new tag] ciflow/inductor/160132 -> ciflow/inductor/160132 2025-08-14T21:23:57.4786051Z * [new tag] ciflow/inductor/160136 -> ciflow/inductor/160136 2025-08-14T21:23:57.4786177Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-14T21:23:57.4786310Z * [new tag] ciflow/inductor/160151 -> ciflow/inductor/160151 2025-08-14T21:23:57.4786443Z * [new tag] ciflow/inductor/160152 -> ciflow/inductor/160152 2025-08-14T21:23:57.4786763Z * [new tag] ciflow/inductor/160154 -> ciflow/inductor/160154 2025-08-14T21:23:57.4787298Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-14T21:23:57.4787812Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-08-14T21:23:57.4788708Z * [new tag] ciflow/inductor/160166 -> ciflow/inductor/160166 2025-08-14T21:23:57.4789129Z * [new tag] ciflow/inductor/160168 -> ciflow/inductor/160168 2025-08-14T21:23:57.4789435Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-08-14T21:23:57.4789942Z * [new tag] ciflow/inductor/160181 -> ciflow/inductor/160181 2025-08-14T21:23:57.4790471Z * [new tag] ciflow/inductor/160183 -> ciflow/inductor/160183 2025-08-14T21:23:57.4791441Z * [new tag] ciflow/inductor/160190 -> ciflow/inductor/160190 2025-08-14T21:23:57.4795761Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-14T21:23:57.4800101Z * [new tag] ciflow/inductor/160201 -> ciflow/inductor/160201 2025-08-14T21:23:57.4800255Z * [new tag] ciflow/inductor/160209 -> ciflow/inductor/160209 2025-08-14T21:23:57.4800699Z * [new tag] ciflow/inductor/160218 -> ciflow/inductor/160218 2025-08-14T21:23:57.4800877Z * [new tag] ciflow/inductor/160239 -> ciflow/inductor/160239 2025-08-14T21:23:57.4801008Z * [new tag] ciflow/inductor/160250 -> ciflow/inductor/160250 2025-08-14T21:23:57.4801169Z * [new tag] ciflow/inductor/160253 -> ciflow/inductor/160253 2025-08-14T21:23:57.4801319Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-14T21:23:57.4801442Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-14T21:23:57.4801593Z * [new tag] ciflow/inductor/160298 -> ciflow/inductor/160298 2025-08-14T21:23:57.4801791Z * [new tag] ciflow/inductor/160301 -> ciflow/inductor/160301 2025-08-14T21:23:57.4801922Z * [new tag] ciflow/inductor/160310 -> ciflow/inductor/160310 2025-08-14T21:23:57.4802048Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-14T21:23:57.4802169Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-14T21:23:57.4802293Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-14T21:23:57.4802427Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-14T21:23:57.4802549Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-14T21:23:57.4802681Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-14T21:23:57.4802961Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-14T21:23:57.4803108Z * [new tag] ciflow/inductor/160351 -> ciflow/inductor/160351 2025-08-14T21:23:57.4803398Z * [new tag] ciflow/inductor/160353 -> ciflow/inductor/160353 2025-08-14T21:23:57.4804100Z * [new tag] ciflow/inductor/160362 -> ciflow/inductor/160362 2025-08-14T21:23:57.4804687Z * [new tag] ciflow/inductor/160363 -> ciflow/inductor/160363 2025-08-14T21:23:57.4804837Z * [new tag] ciflow/inductor/160364 -> ciflow/inductor/160364 2025-08-14T21:23:57.4804970Z * [new tag] ciflow/inductor/160365 -> ciflow/inductor/160365 2025-08-14T21:23:57.4805200Z * [new tag] ciflow/inductor/160366 -> ciflow/inductor/160366 2025-08-14T21:23:57.4805671Z * [new tag] ciflow/inductor/160367 -> ciflow/inductor/160367 2025-08-14T21:23:57.4806229Z * [new tag] ciflow/inductor/160368 -> ciflow/inductor/160368 2025-08-14T21:23:57.4806810Z * [new tag] ciflow/inductor/160369 -> ciflow/inductor/160369 2025-08-14T21:23:57.4807286Z * [new tag] ciflow/inductor/160371 -> ciflow/inductor/160371 2025-08-14T21:23:57.4807685Z * [new tag] ciflow/inductor/160374 -> ciflow/inductor/160374 2025-08-14T21:23:57.4808305Z * [new tag] ciflow/inductor/160375 -> ciflow/inductor/160375 2025-08-14T21:23:57.4808874Z * [new tag] ciflow/inductor/160377 -> ciflow/inductor/160377 2025-08-14T21:23:57.4809190Z * [new tag] ciflow/inductor/160380 -> ciflow/inductor/160380 2025-08-14T21:23:57.4810221Z * [new tag] ciflow/inductor/160381 -> ciflow/inductor/160381 2025-08-14T21:23:57.4810459Z * [new tag] ciflow/inductor/160383 -> ciflow/inductor/160383 2025-08-14T21:23:57.4811595Z * [new tag] ciflow/inductor/160394 -> ciflow/inductor/160394 2025-08-14T21:23:57.4811879Z * [new tag] ciflow/inductor/160401 -> ciflow/inductor/160401 2025-08-14T21:23:57.4812146Z * [new tag] ciflow/inductor/160402 -> ciflow/inductor/160402 2025-08-14T21:23:57.4812626Z * [new tag] ciflow/inductor/160403 -> ciflow/inductor/160403 2025-08-14T21:23:57.4813051Z * [new tag] ciflow/inductor/160424 -> ciflow/inductor/160424 2025-08-14T21:23:57.4815120Z * [new tag] ciflow/inductor/160426 -> ciflow/inductor/160426 2025-08-14T21:23:57.4815382Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-14T21:23:57.4815927Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-14T21:23:57.4816084Z * [new tag] ciflow/inductor/160450 -> ciflow/inductor/160450 2025-08-14T21:23:57.4816222Z * [new tag] ciflow/inductor/160455 -> ciflow/inductor/160455 2025-08-14T21:23:57.4816418Z * [new tag] ciflow/inductor/160456 -> ciflow/inductor/160456 2025-08-14T21:23:57.4817436Z * [new tag] ciflow/inductor/160461 -> ciflow/inductor/160461 2025-08-14T21:23:57.4818069Z * [new tag] ciflow/inductor/160462 -> ciflow/inductor/160462 2025-08-14T21:23:57.4818492Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-14T21:23:57.4818637Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-14T21:23:57.4819554Z * [new tag] ciflow/inductor/160473 -> ciflow/inductor/160473 2025-08-14T21:23:57.4819865Z * [new tag] ciflow/inductor/160476 -> ciflow/inductor/160476 2025-08-14T21:23:57.4820085Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-08-14T21:23:57.4820934Z * [new tag] ciflow/inductor/160481 -> ciflow/inductor/160481 2025-08-14T21:23:57.4821404Z * [new tag] ciflow/inductor/160482 -> ciflow/inductor/160482 2025-08-14T21:23:57.4821763Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-14T21:23:57.4822089Z * [new tag] ciflow/inductor/160485 -> ciflow/inductor/160485 2025-08-14T21:23:57.4823095Z * [new tag] ciflow/inductor/160486 -> ciflow/inductor/160486 2025-08-14T21:23:57.4823370Z * [new tag] ciflow/inductor/160503 -> ciflow/inductor/160503 2025-08-14T21:23:57.4823775Z * [new tag] ciflow/inductor/160510 -> ciflow/inductor/160510 2025-08-14T21:23:57.4824167Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-14T21:23:57.4824802Z * [new tag] ciflow/inductor/160530 -> ciflow/inductor/160530 2025-08-14T21:23:57.4825134Z * [new tag] ciflow/inductor/160531 -> ciflow/inductor/160531 2025-08-14T21:23:57.4825719Z * [new tag] ciflow/inductor/160538 -> ciflow/inductor/160538 2025-08-14T21:23:57.4827021Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-14T21:23:57.4827416Z * [new tag] ciflow/inductor/160540 -> ciflow/inductor/160540 2025-08-14T21:23:57.4827968Z * [new tag] ciflow/inductor/160548 -> ciflow/inductor/160548 2025-08-14T21:23:57.4828420Z * [new tag] ciflow/inductor/160561 -> ciflow/inductor/160561 2025-08-14T21:23:57.4829404Z * [new tag] ciflow/inductor/160576 -> ciflow/inductor/160576 2025-08-14T21:23:57.4830014Z * [new tag] ciflow/inductor/160578 -> ciflow/inductor/160578 2025-08-14T21:23:57.4830166Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-14T21:23:57.4830623Z * [new tag] ciflow/inductor/160583 -> ciflow/inductor/160583 2025-08-14T21:23:57.4831306Z * [new tag] ciflow/inductor/160589 -> ciflow/inductor/160589 2025-08-14T21:23:57.4831646Z * [new tag] ciflow/inductor/160590 -> ciflow/inductor/160590 2025-08-14T21:23:57.4832670Z * [new tag] ciflow/inductor/160592 -> ciflow/inductor/160592 2025-08-14T21:23:57.4832938Z * [new tag] ciflow/inductor/160596 -> ciflow/inductor/160596 2025-08-14T21:23:57.4833433Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-14T21:23:57.4833832Z * [new tag] ciflow/inductor/160607 -> ciflow/inductor/160607 2025-08-14T21:23:57.4834759Z * [new tag] ciflow/inductor/160608 -> ciflow/inductor/160608 2025-08-14T21:23:57.4834973Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-14T21:23:57.4835536Z * [new tag] ciflow/inductor/160614 -> ciflow/inductor/160614 2025-08-14T21:23:57.4835917Z * [new tag] ciflow/inductor/160616 -> ciflow/inductor/160616 2025-08-14T21:23:57.4836485Z * [new tag] ciflow/inductor/160619 -> ciflow/inductor/160619 2025-08-14T21:23:57.4836993Z * [new tag] ciflow/inductor/160625 -> ciflow/inductor/160625 2025-08-14T21:23:57.4838021Z * [new tag] ciflow/inductor/160635 -> ciflow/inductor/160635 2025-08-14T21:23:57.4838325Z * [new tag] ciflow/inductor/160649 -> ciflow/inductor/160649 2025-08-14T21:23:57.4838462Z * [new tag] ciflow/inductor/160658 -> ciflow/inductor/160658 2025-08-14T21:23:57.4841904Z * [new tag] ciflow/inductor/160662 -> ciflow/inductor/160662 2025-08-14T21:23:57.4842140Z * [new tag] ciflow/inductor/160668 -> ciflow/inductor/160668 2025-08-14T21:23:57.4842280Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-14T21:23:57.4842404Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-14T21:23:57.4842601Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-14T21:23:57.4842726Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-14T21:23:57.4842840Z * [new tag] ciflow/inductor/160679 -> ciflow/inductor/160679 2025-08-14T21:23:57.4845259Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-14T21:23:57.4845412Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-14T21:23:57.4845549Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-14T21:23:57.4845715Z * [new tag] ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855 2025-08-14T21:23:57.4845858Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-08-14T21:23:57.4846063Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-14T21:23:57.4846219Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-14T21:23:57.4846649Z * [new tag] ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299 2025-08-14T21:23:57.4847242Z * [new tag] ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301 2025-08-14T21:23:57.4848568Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-14T21:23:57.4849805Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-14T21:23:57.4849944Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-14T21:23:57.4850064Z * [new tag] ciflow/mps/160541 -> ciflow/mps/160541 2025-08-14T21:23:57.4851077Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-08-14T21:23:57.4851316Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-14T21:23:57.4851747Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-08-14T21:23:57.4852696Z * [new tag] ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971 2025-08-14T21:23:57.4852887Z * [new tag] ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073 2025-08-14T21:23:57.4853399Z * [new tag] ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538 2025-08-14T21:23:57.4854914Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-14T21:23:57.4855178Z * [new tag] ciflow/periodic/131296 -> ciflow/periodic/131296 2025-08-14T21:23:57.4855336Z * [new tag] ciflow/periodic/139971 -> ciflow/periodic/139971 2025-08-14T21:23:57.4855470Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-08-14T21:23:57.4855997Z * [new tag] ciflow/periodic/154595 -> ciflow/periodic/154595 2025-08-14T21:23:57.4856233Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-08-14T21:23:57.4856753Z * [new tag] ciflow/periodic/160201 -> ciflow/periodic/160201 2025-08-14T21:23:57.4857149Z * [new tag] ciflow/periodic/160424 -> ciflow/periodic/160424 2025-08-14T21:23:57.4857642Z * [new tag] ciflow/periodic/160538 -> ciflow/periodic/160538 2025-08-14T21:23:57.4859446Z * [new tag] ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:23:57.4860100Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-14T21:23:57.4860464Z * [new tag] ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:23:57.4860810Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-14T21:23:57.4861378Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-14T21:23:57.4861970Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-14T21:23:57.4862722Z * [new tag] ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:23:57.4863537Z * [new tag] ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:23:57.4863951Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-14T21:23:57.4865056Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-14T21:23:57.4865322Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-14T21:23:57.4865970Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-14T21:23:57.4867110Z * [new tag] ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 2025-08-14T21:23:57.4867272Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-14T21:23:57.4868282Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-14T21:23:57.4868993Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-14T21:23:57.4869452Z * [new tag] ciflow/rocm-mi300/151360 -> ciflow/rocm-mi300/151360 2025-08-14T21:23:57.4870588Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-14T21:23:57.4870720Z * [new tag] ciflow/rocm-mi300/160073 -> ciflow/rocm-mi300/160073 2025-08-14T21:23:57.4870871Z * [new tag] ciflow/rocm-mi300/160468 -> ciflow/rocm-mi300/160468 2025-08-14T21:23:57.4871827Z * [new tag] ciflow/rocm-mi300/160538 -> ciflow/rocm-mi300/160538 2025-08-14T21:23:57.4872084Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-14T21:23:57.4872677Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-14T21:23:57.4873037Z * [new tag] ciflow/rocm/151360 -> ciflow/rocm/151360 2025-08-14T21:23:57.4873667Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-14T21:23:57.4874028Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-14T21:23:57.4874942Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-14T21:23:57.4875068Z * [new tag] ciflow/rocm/158219 -> ciflow/rocm/158219 2025-08-14T21:23:57.4875603Z * [new tag] ciflow/rocm/158220 -> ciflow/rocm/158220 2025-08-14T21:23:57.4876092Z * [new tag] ciflow/rocm/158224 -> ciflow/rocm/158224 2025-08-14T21:23:57.4876554Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-14T21:23:57.4877190Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-14T21:23:57.4877662Z * [new tag] ciflow/rocm/160468 -> ciflow/rocm/160468 2025-08-14T21:23:57.4878110Z * [new tag] ciflow/rocm/160538 -> ciflow/rocm/160538 2025-08-14T21:23:57.4879017Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-08-14T21:23:57.4879385Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-14T21:23:57.4881496Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-14T21:23:57.4881871Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-14T21:23:57.4882235Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-14T21:23:57.4882363Z * [new tag] ciflow/slow/154595 -> ciflow/slow/154595 2025-08-14T21:23:57.4882737Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-14T21:23:57.4883203Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-14T21:23:57.4884097Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-14T21:23:57.4886719Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-14T21:23:57.4886905Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-14T21:23:57.4887031Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-14T21:23:57.4887152Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-14T21:23:57.4887473Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-14T21:23:57.4888190Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-14T21:23:57.4888339Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-14T21:23:57.4888661Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-14T21:23:57.4889157Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-14T21:23:57.4890110Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-14T21:23:57.4890424Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-14T21:23:57.4891824Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-14T21:23:57.4892136Z * [new tag] ciflow/trunk/131296 -> ciflow/trunk/131296 2025-08-14T21:23:57.4892276Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-08-14T21:23:57.4895819Z * [new tag] ciflow/trunk/138996 -> ciflow/trunk/138996 2025-08-14T21:23:57.4895992Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-08-14T21:23:57.4896120Z * [new tag] ciflow/trunk/147360 -> ciflow/trunk/147360 2025-08-14T21:23:57.4896243Z * [new tag] ciflow/trunk/147855 -> ciflow/trunk/147855 2025-08-14T21:23:57.4896368Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-08-14T21:23:57.4896491Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-08-14T21:23:57.4896613Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-14T21:23:57.4896761Z * [new tag] ciflow/trunk/150282 -> ciflow/trunk/150282 2025-08-14T21:23:57.4896888Z * [new tag] ciflow/trunk/150302 -> ciflow/trunk/150302 2025-08-14T21:23:57.4897448Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-14T21:23:57.4898044Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-08-14T21:23:57.4898518Z * [new tag] ciflow/trunk/154193 -> ciflow/trunk/154193 2025-08-14T21:23:57.4899084Z * [new tag] ciflow/trunk/154595 -> ciflow/trunk/154595 2025-08-14T21:23:57.4899485Z * [new tag] ciflow/trunk/154650 -> ciflow/trunk/154650 2025-08-14T21:23:57.4900154Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-14T21:23:57.4900620Z * [new tag] ciflow/trunk/155958 -> ciflow/trunk/155958 2025-08-14T21:23:57.4900954Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-08-14T21:23:57.4901622Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-08-14T21:23:57.4901990Z * [new tag] ciflow/trunk/156851 -> ciflow/trunk/156851 2025-08-14T21:23:57.4902531Z * [new tag] ciflow/trunk/157148 -> ciflow/trunk/157148 2025-08-14T21:23:57.4903034Z * [new tag] ciflow/trunk/157152 -> ciflow/trunk/157152 2025-08-14T21:23:57.4903454Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-08-14T21:23:57.4903980Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-08-14T21:23:57.4904531Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-08-14T21:23:57.4904836Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-08-14T21:23:57.4905467Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-08-14T21:23:57.4905814Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-08-14T21:23:57.4906448Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-08-14T21:23:57.4906763Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-14T21:23:57.4907321Z * [new tag] ciflow/trunk/158219 -> ciflow/trunk/158219 2025-08-14T21:23:57.4907807Z * [new tag] ciflow/trunk/158220 -> ciflow/trunk/158220 2025-08-14T21:23:57.4908374Z * [new tag] ciflow/trunk/158224 -> ciflow/trunk/158224 2025-08-14T21:23:57.4908848Z * [new tag] ciflow/trunk/158529 -> ciflow/trunk/158529 2025-08-14T21:23:57.4909374Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-08-14T21:23:57.4909999Z * [new tag] ciflow/trunk/158810 -> ciflow/trunk/158810 2025-08-14T21:23:57.4910457Z * [new tag] ciflow/trunk/158812 -> ciflow/trunk/158812 2025-08-14T21:23:57.4910859Z * [new tag] ciflow/trunk/158863 -> ciflow/trunk/158863 2025-08-14T21:23:57.4911300Z * [new tag] ciflow/trunk/158864 -> ciflow/trunk/158864 2025-08-14T21:23:57.4911789Z * [new tag] ciflow/trunk/158883 -> ciflow/trunk/158883 2025-08-14T21:23:57.4912253Z * [new tag] ciflow/trunk/158914 -> ciflow/trunk/158914 2025-08-14T21:23:57.4912708Z * [new tag] ciflow/trunk/158965 -> ciflow/trunk/158965 2025-08-14T21:23:57.4913191Z * [new tag] ciflow/trunk/158987 -> ciflow/trunk/158987 2025-08-14T21:23:57.4914107Z * [new tag] ciflow/trunk/159033 -> ciflow/trunk/159033 2025-08-14T21:23:57.4914241Z * [new tag] ciflow/trunk/159140 -> ciflow/trunk/159140 2025-08-14T21:23:57.4915210Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-14T21:23:57.4915375Z * [new tag] ciflow/trunk/159553 -> ciflow/trunk/159553 2025-08-14T21:23:57.4915940Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-14T21:23:57.4916314Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-08-14T21:23:57.4917773Z * [new tag] ciflow/trunk/159691 -> ciflow/trunk/159691 2025-08-14T21:23:57.4917984Z * [new tag] ciflow/trunk/159842 -> ciflow/trunk/159842 2025-08-14T21:23:57.4918112Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-14T21:23:57.4918997Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-14T21:23:57.4919250Z * [new tag] ciflow/trunk/160004 -> ciflow/trunk/160004 2025-08-14T21:23:57.4919760Z * [new tag] ciflow/trunk/160113 -> ciflow/trunk/160113 2025-08-14T21:23:57.4920229Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-08-14T21:23:57.4920920Z * [new tag] ciflow/trunk/160168 -> ciflow/trunk/160168 2025-08-14T21:23:57.4921121Z * [new tag] ciflow/trunk/160181 -> ciflow/trunk/160181 2025-08-14T21:23:57.4921731Z * [new tag] ciflow/trunk/160183 -> ciflow/trunk/160183 2025-08-14T21:23:57.4922762Z * [new tag] ciflow/trunk/160190 -> ciflow/trunk/160190 2025-08-14T21:23:57.4923061Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-14T21:23:57.4923221Z * [new tag] ciflow/trunk/160205 -> ciflow/trunk/160205 2025-08-14T21:23:57.4923659Z * [new tag] ciflow/trunk/160219 -> ciflow/trunk/160219 2025-08-14T21:23:57.4924101Z * [new tag] ciflow/trunk/160224 -> ciflow/trunk/160224 2025-08-14T21:23:57.4925526Z * [new tag] ciflow/trunk/160250 -> ciflow/trunk/160250 2025-08-14T21:23:57.4925750Z * [new tag] ciflow/trunk/160253 -> ciflow/trunk/160253 2025-08-14T21:23:57.4925870Z * [new tag] ciflow/trunk/160335 -> ciflow/trunk/160335 2025-08-14T21:23:57.4926118Z * [new tag] ciflow/trunk/160338 -> ciflow/trunk/160338 2025-08-14T21:23:57.4926516Z * [new tag] ciflow/trunk/160383 -> ciflow/trunk/160383 2025-08-14T21:23:57.4926921Z * [new tag] ciflow/trunk/160401 -> ciflow/trunk/160401 2025-08-14T21:23:57.4927598Z * [new tag] ciflow/trunk/160403 -> ciflow/trunk/160403 2025-08-14T21:23:57.4927925Z * [new tag] ciflow/trunk/160430 -> ciflow/trunk/160430 2025-08-14T21:23:57.4928481Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-14T21:23:57.4929400Z * [new tag] ciflow/trunk/160439 -> ciflow/trunk/160439 2025-08-14T21:23:57.4929651Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-14T21:23:57.4931276Z * [new tag] ciflow/trunk/160454 -> ciflow/trunk/160454 2025-08-14T21:23:57.4931515Z * [new tag] ciflow/trunk/160468 -> ciflow/trunk/160468 2025-08-14T21:23:57.4931643Z * [new tag] ciflow/trunk/160481 -> ciflow/trunk/160481 2025-08-14T21:23:57.4931766Z * [new tag] ciflow/trunk/160485 -> ciflow/trunk/160485 2025-08-14T21:23:57.4932300Z * [new tag] ciflow/trunk/160519 -> ciflow/trunk/160519 2025-08-14T21:23:57.4933115Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-14T21:23:57.4933658Z * [new tag] ciflow/trunk/160560 -> ciflow/trunk/160560 2025-08-14T21:23:57.4934091Z * [new tag] ciflow/trunk/160578 -> ciflow/trunk/160578 2025-08-14T21:23:57.4934636Z * [new tag] ciflow/trunk/160589 -> ciflow/trunk/160589 2025-08-14T21:23:57.4935178Z * [new tag] ciflow/trunk/160592 -> ciflow/trunk/160592 2025-08-14T21:23:57.4935481Z * [new tag] ciflow/trunk/160649 -> ciflow/trunk/160649 2025-08-14T21:23:57.4936056Z * [new tag] ciflow/trunk/160656 -> ciflow/trunk/160656 2025-08-14T21:23:57.4937464Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-14T21:23:57.4937598Z * [new tag] ciflow/vllm/160116 -> ciflow/vllm/160116 2025-08-14T21:23:57.4937893Z * [new tag] ciflow/vllm/160583 -> ciflow/vllm/160583 2025-08-14T21:23:57.4938767Z * [new tag] ciflow/vllm/160619 -> ciflow/vllm/160619 2025-08-14T21:23:57.4939035Z * [new tag] ciflow/vllm/160625 -> ciflow/vllm/160625 2025-08-14T21:23:57.4939528Z * [new tag] ciflow/vllm/160627 -> ciflow/vllm/160627 2025-08-14T21:23:57.4943593Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-08-14T21:23:57.4943782Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-14T21:23:57.4943911Z * [new tag] ciflow/win-arm64/159553 -> ciflow/win-arm64/159553 2025-08-14T21:23:57.4944044Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-14T21:23:57.4944169Z * [new tag] ciflow/win-arm64/159777 -> ciflow/win-arm64/159777 2025-08-14T21:23:57.4944295Z * [new tag] ciflow/win-arm64/159780 -> ciflow/win-arm64/159780 2025-08-14T21:23:57.4944416Z * [new tag] ciflow/win-arm64/159842 -> ciflow/win-arm64/159842 2025-08-14T21:23:57.4944537Z * [new tag] ciflow/win-arm64/160250 -> ciflow/win-arm64/160250 2025-08-14T21:23:57.4944845Z * [new tag] ciflow/win-arm64/160253 -> ciflow/win-arm64/160253 2025-08-14T21:23:57.4945545Z * [new tag] ciflow/win-arm64/160454 -> ciflow/win-arm64/160454 2025-08-14T21:23:57.4945754Z * [new tag] ciflow/win-arm64/160560 -> ciflow/win-arm64/160560 2025-08-14T21:23:57.4945896Z * [new tag] ciflow/xpu/138996 -> ciflow/xpu/138996 2025-08-14T21:23:57.4946020Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-08-14T21:23:57.4946881Z * [new tag] ciflow/xpu/140972 -> ciflow/xpu/140972 2025-08-14T21:23:57.4946998Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-14T21:23:57.4950916Z * [new tag] ciflow/xpu/156272 -> ciflow/xpu/156272 2025-08-14T21:23:57.4951232Z * [new tag] ciflow/xpu/156812 -> ciflow/xpu/156812 2025-08-14T21:23:57.4951381Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-08-14T21:23:57.4951592Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-08-14T21:23:57.4951737Z * [new tag] ciflow/xpu/158336 -> ciflow/xpu/158336 2025-08-14T21:23:57.4951847Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-14T21:23:57.4952091Z * [new tag] ciflow/xpu/159033 -> ciflow/xpu/159033 2025-08-14T21:23:57.4952219Z * [new tag] ciflow/xpu/159118 -> ciflow/xpu/159118 2025-08-14T21:23:57.4952876Z * [new tag] ciflow/xpu/159140 -> ciflow/xpu/159140 2025-08-14T21:23:57.4953021Z * [new tag] ciflow/xpu/159241 -> ciflow/xpu/159241 2025-08-14T21:23:57.4953143Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-14T21:23:57.4953734Z * [new tag] ciflow/xpu/159474 -> ciflow/xpu/159474 2025-08-14T21:23:57.4953862Z * [new tag] ciflow/xpu/159553 -> ciflow/xpu/159553 2025-08-14T21:23:57.4956769Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-14T21:23:57.4957080Z * [new tag] ciflow/xpu/160062 -> ciflow/xpu/160062 2025-08-14T21:23:57.4957216Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-14T21:23:57.4957423Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-14T21:23:57.4957547Z * [new tag] ciflow/xpu/160173 -> ciflow/xpu/160173 2025-08-14T21:23:57.4957675Z * [new tag] ciflow/xpu/160183 -> ciflow/xpu/160183 2025-08-14T21:23:57.4957815Z * [new tag] ciflow/xpu/160301 -> ciflow/xpu/160301 2025-08-14T21:23:57.4957936Z * [new tag] ciflow/xpu/160403 -> ciflow/xpu/160403 2025-08-14T21:23:57.4958727Z * [new tag] ciflow/xpu/160606 -> ciflow/xpu/160606 2025-08-14T21:23:57.4959161Z * [new tag] cslpull75 -> cslpull75 2025-08-14T21:23:57.4963070Z * [new tag] cslpull76 -> cslpull76 2025-08-14T21:23:57.4963395Z * [new tag] cslpull77 -> cslpull77 2025-08-14T21:23:57.4963532Z * [new tag] cslpull78 -> cslpull78 2025-08-14T21:23:57.4963716Z * [new tag] cslpull79 -> cslpull79 2025-08-14T21:23:57.4964398Z * [new tag] cslpull80 -> cslpull80 2025-08-14T21:23:57.4964686Z * [new tag] cslpull81 -> cslpull81 2025-08-14T21:23:57.4964956Z * [new tag] cslpull82 -> cslpull82 2025-08-14T21:23:57.4965078Z * [new tag] cslpull83 -> cslpull83 2025-08-14T21:23:57.4965179Z * [new tag] cslpull84 -> cslpull84 2025-08-14T21:23:57.4965634Z * [new tag] cslpull85 -> cslpull85 2025-08-14T21:23:57.4966840Z * [new tag] cslpull86 -> cslpull86 2025-08-14T21:23:57.4967077Z * [new tag] cslpull87 -> cslpull87 2025-08-14T21:23:57.4967582Z * [new tag] cslpull88 -> cslpull88 2025-08-14T21:23:57.4968559Z * [new tag] cslpull89 -> cslpull89 2025-08-14T21:23:57.4968844Z * [new tag] cslpull90 -> cslpull90 2025-08-14T21:23:57.4970362Z * [new tag] cslpull91 -> cslpull91 2025-08-14T21:23:57.4970567Z * [new tag] cslpull92 -> cslpull92 2025-08-14T21:23:57.4970700Z * [new tag] flight_5 -> flight_5 2025-08-14T21:23:57.4976897Z * [new tag] flight_5.1 -> flight_5.1 2025-08-14T21:23:57.4979170Z * [new tag] flight_5.2 -> flight_5.2 2025-08-14T21:23:57.4979431Z * [new tag] flight_5.3 -> flight_5.3 2025-08-14T21:23:57.4985516Z * [new tag] forpull1 -> forpull1 2025-08-14T21:23:57.4989771Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-14T21:23:57.4991961Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-14T21:23:57.4992296Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-14T21:23:57.4992491Z * [new tag] nightly-binary -> nightly-binary 2025-08-14T21:23:57.4992646Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-14T21:23:57.4992930Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-14T21:23:57.4993289Z * [new tag] trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 2025-08-14T21:23:57.4993749Z * [new tag] trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 2025-08-14T21:23:57.4994481Z * [new tag] trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d 2025-08-14T21:23:57.4994786Z * [new tag] trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a 2025-08-14T21:23:57.4995025Z * [new tag] trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e 2025-08-14T21:23:57.4995264Z * [new tag] trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb 2025-08-14T21:23:57.4995498Z * [new tag] trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869 2025-08-14T21:23:57.4995726Z * [new tag] trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206 2025-08-14T21:23:57.4996151Z * [new tag] trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126 2025-08-14T21:23:57.4996394Z * [new tag] trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 2025-08-14T21:23:57.4996641Z * [new tag] trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 2025-08-14T21:23:57.4996938Z * [new tag] trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 2025-08-14T21:23:57.4997188Z * [new tag] trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde 2025-08-14T21:23:57.4997427Z * [new tag] trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 2025-08-14T21:23:57.4997659Z * [new tag] trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 2025-08-14T21:23:57.4997953Z * [new tag] trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 2025-08-14T21:23:57.4998183Z * [new tag] trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b 2025-08-14T21:23:57.4998427Z * [new tag] trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 2025-08-14T21:23:57.4998663Z * [new tag] trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca 2025-08-14T21:23:57.4998895Z * [new tag] trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 2025-08-14T21:23:57.4999126Z * [new tag] trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 2025-08-14T21:23:57.4999368Z * [new tag] trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e 2025-08-14T21:23:57.4999606Z * [new tag] trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b 2025-08-14T21:23:57.4999836Z * [new tag] trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 2025-08-14T21:23:57.5000069Z * [new tag] trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e 2025-08-14T21:23:57.5000305Z * [new tag] trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 2025-08-14T21:23:57.5000574Z * [new tag] trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 2025-08-14T21:23:57.5000813Z * [new tag] trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 2025-08-14T21:23:57.5001059Z * [new tag] trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848 2025-08-14T21:23:57.5001293Z * [new tag] trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca 2025-08-14T21:23:57.5001520Z * [new tag] trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019 2025-08-14T21:23:57.5001754Z * [new tag] trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe 2025-08-14T21:23:57.5002003Z * [new tag] trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf 2025-08-14T21:23:57.5002241Z * [new tag] trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca 2025-08-14T21:23:57.5002482Z * [new tag] trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 2025-08-14T21:23:57.5002763Z * [new tag] trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a 2025-08-14T21:23:57.5002998Z * [new tag] trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 2025-08-14T21:23:57.5003235Z * [new tag] trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8 2025-08-14T21:23:57.5003635Z * [new tag] trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c 2025-08-14T21:23:57.5003973Z * [new tag] trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 2025-08-14T21:23:57.5004337Z * [new tag] trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 2025-08-14T21:23:57.5004805Z * [new tag] trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc 2025-08-14T21:23:57.5005034Z * [new tag] trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad 2025-08-14T21:23:57.5005265Z * [new tag] trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:23:57.5005519Z * [new tag] trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:23:57.5005751Z * [new tag] trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673 2025-08-14T21:23:57.5006415Z * [new tag] trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb 2025-08-14T21:23:57.5006643Z * [new tag] trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641 2025-08-14T21:23:57.5007807Z * [new tag] trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 2025-08-14T21:23:57.5008049Z * [new tag] trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d 2025-08-14T21:23:57.5008295Z * [new tag] trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee 2025-08-14T21:23:57.5008744Z * [new tag] trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c 2025-08-14T21:23:57.5010053Z * [new tag] trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd 2025-08-14T21:23:57.5010304Z * [new tag] trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 2025-08-14T21:23:57.5011104Z * [new tag] trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 2025-08-14T21:23:57.5014572Z * [new tag] trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 2025-08-14T21:23:57.5014979Z * [new tag] trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c 2025-08-14T21:23:57.5015364Z * [new tag] trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 2025-08-14T21:23:57.5015689Z * [new tag] trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad 2025-08-14T21:23:57.5015936Z * [new tag] trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 2025-08-14T21:23:57.5016517Z * [new tag] trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 2025-08-14T21:23:57.5016934Z * [new tag] trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:23:57.5017186Z * [new tag] trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 2025-08-14T21:23:57.5017434Z * [new tag] trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 2025-08-14T21:23:57.5017662Z * [new tag] trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 2025-08-14T21:23:57.5017907Z * [new tag] trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 2025-08-14T21:23:57.5021310Z * [new tag] trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 2025-08-14T21:23:57.5026840Z * [new tag] trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 2025-08-14T21:23:57.5027369Z * [new tag] trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669 2025-08-14T21:23:57.5028079Z * [new tag] trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 2025-08-14T21:23:57.5028543Z * [new tag] trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 2025-08-14T21:23:57.5028940Z * [new tag] trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 2025-08-14T21:23:57.5029263Z * [new tag] trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0 2025-08-14T21:23:57.5029683Z * [new tag] trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb 2025-08-14T21:23:57.5030153Z * [new tag] trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 2025-08-14T21:23:57.5032429Z * [new tag] trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816 2025-08-14T21:23:57.5032707Z * [new tag] trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 2025-08-14T21:23:57.5033032Z * [new tag] trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7 2025-08-14T21:23:57.5033350Z * [new tag] trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 2025-08-14T21:23:57.5033596Z * [new tag] trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa 2025-08-14T21:23:57.5033904Z * [new tag] trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae 2025-08-14T21:23:57.5034243Z * [new tag] trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 2025-08-14T21:23:57.5034854Z * [new tag] trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 2025-08-14T21:23:57.5039196Z * [new tag] trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 2025-08-14T21:23:57.5042529Z * [new tag] trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f 2025-08-14T21:23:57.5042833Z * [new tag] trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 2025-08-14T21:23:57.5043090Z * [new tag] trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820 2025-08-14T21:23:57.5043575Z * [new tag] trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881 2025-08-14T21:23:57.5043875Z * [new tag] trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 2025-08-14T21:23:57.5044117Z * [new tag] trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 2025-08-14T21:23:57.5044353Z * [new tag] trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 2025-08-14T21:23:57.5044632Z * [new tag] trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d 2025-08-14T21:23:57.5044887Z * [new tag] trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f 2025-08-14T21:23:57.5045130Z * [new tag] trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 2025-08-14T21:23:57.5045443Z * [new tag] trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b 2025-08-14T21:23:57.5045708Z * [new tag] trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 2025-08-14T21:23:57.5046483Z * [new tag] trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:23:57.5046789Z * [new tag] trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 2025-08-14T21:23:57.5047058Z * [new tag] trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d 2025-08-14T21:23:57.5047320Z * [new tag] trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf 2025-08-14T21:23:57.5047577Z * [new tag] trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 2025-08-14T21:23:57.5047860Z * [new tag] trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc 2025-08-14T21:23:57.5048099Z * [new tag] trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 2025-08-14T21:23:57.5048347Z * [new tag] trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d 2025-08-14T21:23:57.5048603Z * [new tag] trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa 2025-08-14T21:23:57.5048988Z * [new tag] trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f 2025-08-14T21:23:57.5049245Z * [new tag] trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce 2025-08-14T21:23:57.5049768Z * [new tag] trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 2025-08-14T21:23:57.5050316Z * [new tag] trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 2025-08-14T21:23:57.5051173Z * [new tag] trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99 2025-08-14T21:23:57.5051640Z * [new tag] trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad 2025-08-14T21:23:57.5052287Z * [new tag] trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d 2025-08-14T21:23:57.5053099Z * [new tag] trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 2025-08-14T21:23:57.5053470Z * [new tag] trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 2025-08-14T21:23:57.5054209Z * [new tag] trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add 2025-08-14T21:23:57.5054688Z * [new tag] trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f 2025-08-14T21:23:57.5055316Z * [new tag] trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf 2025-08-14T21:23:57.5056702Z * [new tag] trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a 2025-08-14T21:23:57.5056953Z * [new tag] trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:23:57.5057192Z * [new tag] trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca 2025-08-14T21:23:57.5057862Z * [new tag] trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc 2025-08-14T21:23:57.5058489Z * [new tag] trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 2025-08-14T21:23:57.5059601Z * [new tag] trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a 2025-08-14T21:23:57.5059974Z * [new tag] trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 2025-08-14T21:23:57.5063629Z * [new tag] trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 2025-08-14T21:23:57.5063942Z * [new tag] trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 2025-08-14T21:23:57.5064199Z * [new tag] trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c 2025-08-14T21:23:57.5064508Z * [new tag] trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f 2025-08-14T21:23:57.5064751Z * [new tag] trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 2025-08-14T21:23:57.5065015Z * [new tag] trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 2025-08-14T21:23:57.5065261Z * [new tag] trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 2025-08-14T21:23:57.5065576Z * [new tag] trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 2025-08-14T21:23:57.5066282Z * [new tag] trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 2025-08-14T21:23:57.5066550Z * [new tag] trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38 2025-08-14T21:23:57.5067109Z * [new tag] trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935 2025-08-14T21:23:57.5067581Z * [new tag] trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 2025-08-14T21:23:57.5068327Z * [new tag] trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d 2025-08-14T21:23:57.5068940Z * [new tag] trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 2025-08-14T21:23:57.5069496Z * [new tag] trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 2025-08-14T21:23:57.5070177Z * [new tag] trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 2025-08-14T21:23:57.5070738Z * [new tag] trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 2025-08-14T21:23:57.5071431Z * [new tag] trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 2025-08-14T21:23:57.5072124Z * [new tag] trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 2025-08-14T21:23:57.5073016Z * [new tag] trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef 2025-08-14T21:23:57.5073366Z * [new tag] trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac 2025-08-14T21:23:57.5074513Z * [new tag] trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b 2025-08-14T21:23:57.5074750Z * [new tag] trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020 2025-08-14T21:23:57.5075242Z * [new tag] trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 2025-08-14T21:23:57.5075913Z * [new tag] trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d 2025-08-14T21:23:57.5076508Z * [new tag] trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 2025-08-14T21:23:57.5077096Z * [new tag] trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 2025-08-14T21:23:57.5077646Z * [new tag] trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff 2025-08-14T21:23:57.5078304Z * [new tag] trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892 2025-08-14T21:23:57.5078906Z * [new tag] trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 2025-08-14T21:23:57.5079633Z * [new tag] trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 2025-08-14T21:23:57.5080226Z * [new tag] trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f 2025-08-14T21:23:57.5080690Z * [new tag] trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84 2025-08-14T21:23:57.5081116Z * [new tag] trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a 2025-08-14T21:23:57.5081752Z * [new tag] trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 2025-08-14T21:23:57.5082287Z * [new tag] trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa 2025-08-14T21:23:57.5082797Z * [new tag] trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 2025-08-14T21:23:57.5083479Z * [new tag] trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d 2025-08-14T21:23:57.5083907Z * [new tag] trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 2025-08-14T21:23:57.5084416Z * [new tag] trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 2025-08-14T21:23:57.5085570Z * [new tag] trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 2025-08-14T21:23:57.5086494Z * [new tag] trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d 2025-08-14T21:23:57.5086757Z * [new tag] trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 2025-08-14T21:23:57.5087148Z * [new tag] trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 2025-08-14T21:23:57.5087413Z * [new tag] trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75 2025-08-14T21:23:57.5088288Z * [new tag] trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e 2025-08-14T21:23:57.5088657Z * [new tag] trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3 2025-08-14T21:23:57.5089370Z * [new tag] trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be 2025-08-14T21:23:57.5089855Z * [new tag] trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 2025-08-14T21:23:57.5091423Z * [new tag] trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7 2025-08-14T21:23:57.5091662Z * [new tag] trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05 2025-08-14T21:23:57.5092262Z * [new tag] trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106 2025-08-14T21:23:57.5092882Z * [new tag] trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 2025-08-14T21:23:57.5093548Z * [new tag] trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 2025-08-14T21:23:57.5094192Z * [new tag] trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd 2025-08-14T21:23:57.5094704Z * [new tag] trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd 2025-08-14T21:23:57.5095286Z * [new tag] trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 2025-08-14T21:23:57.5095933Z * [new tag] trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 2025-08-14T21:23:57.5096990Z * [new tag] trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df 2025-08-14T21:23:57.5097227Z * [new tag] trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc 2025-08-14T21:23:57.5098273Z * [new tag] trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed 2025-08-14T21:23:57.5098510Z * [new tag] trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 2025-08-14T21:23:57.5099207Z * [new tag] trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 2025-08-14T21:23:57.5100464Z * [new tag] trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 2025-08-14T21:23:57.5100799Z * [new tag] trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 2025-08-14T21:23:57.5101333Z * [new tag] trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c 2025-08-14T21:23:57.5102411Z * [new tag] trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 2025-08-14T21:23:57.5102680Z * [new tag] trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b 2025-08-14T21:23:57.5103683Z * [new tag] trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae 2025-08-14T21:23:57.5104617Z * [new tag] trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861 2025-08-14T21:23:57.5104982Z * [new tag] trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b 2025-08-14T21:23:57.5105527Z * [new tag] trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 2025-08-14T21:23:57.5106096Z * [new tag] trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 2025-08-14T21:23:57.5106842Z * [new tag] trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0 2025-08-14T21:23:57.5107506Z * [new tag] trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615 2025-08-14T21:23:57.5107961Z * [new tag] trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c 2025-08-14T21:23:57.5108858Z * [new tag] trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 2025-08-14T21:23:57.5109236Z * [new tag] trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 2025-08-14T21:23:57.5109862Z * [new tag] trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b 2025-08-14T21:23:57.5110434Z * [new tag] trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc 2025-08-14T21:23:57.5111068Z * [new tag] trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 2025-08-14T21:23:57.5111600Z * [new tag] trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a 2025-08-14T21:23:57.5112288Z * [new tag] trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 2025-08-14T21:23:57.5112996Z * [new tag] trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf 2025-08-14T21:23:57.5114246Z * [new tag] trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 2025-08-14T21:23:57.5114488Z * [new tag] trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 2025-08-14T21:23:57.5114828Z * [new tag] trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5 2025-08-14T21:23:57.5115517Z * [new tag] trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3 2025-08-14T21:23:57.5116898Z * [new tag] trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 2025-08-14T21:23:57.5117142Z * [new tag] trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 2025-08-14T21:23:57.5118008Z * [new tag] trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 2025-08-14T21:23:57.5118676Z * [new tag] trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee 2025-08-14T21:23:57.5119546Z * [new tag] trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff 2025-08-14T21:23:57.5119863Z * [new tag] trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 2025-08-14T21:23:57.5121297Z * [new tag] trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd 2025-08-14T21:23:57.5123689Z * [new tag] trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca 2025-08-14T21:23:57.5123943Z * [new tag] trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 2025-08-14T21:23:57.5124185Z * [new tag] trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 2025-08-14T21:23:57.5124416Z * [new tag] trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 2025-08-14T21:23:57.5124655Z * [new tag] trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685 2025-08-14T21:23:57.5124883Z * [new tag] trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2 2025-08-14T21:23:57.5125255Z * [new tag] trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e 2025-08-14T21:23:57.5125762Z * [new tag] trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 2025-08-14T21:23:57.5129853Z * [new tag] trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 2025-08-14T21:23:57.5130133Z * [new tag] trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36 2025-08-14T21:23:57.5130376Z * [new tag] trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 2025-08-14T21:23:57.5130619Z * [new tag] trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 2025-08-14T21:23:57.5131259Z * [new tag] trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff 2025-08-14T21:23:57.5131521Z * [new tag] trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31 2025-08-14T21:23:57.5131823Z * [new tag] trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc 2025-08-14T21:23:57.5137380Z * [new tag] trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf 2025-08-14T21:23:57.5142848Z * [new tag] trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 2025-08-14T21:23:57.5146160Z * [new tag] trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 2025-08-14T21:23:57.5146457Z * [new tag] trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 2025-08-14T21:23:57.5146715Z * [new tag] trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 2025-08-14T21:23:57.5146989Z * [new tag] trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c 2025-08-14T21:23:57.5147241Z * [new tag] trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24 2025-08-14T21:23:57.5147486Z * [new tag] trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 2025-08-14T21:23:57.5147744Z * [new tag] trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f 2025-08-14T21:23:57.5147995Z * [new tag] trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7 2025-08-14T21:23:57.5148227Z * [new tag] trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a 2025-08-14T21:23:57.5148513Z * [new tag] trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0 2025-08-14T21:23:57.5148905Z * [new tag] trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff 2025-08-14T21:23:57.5149165Z * [new tag] trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c 2025-08-14T21:23:57.5149412Z * [new tag] trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd 2025-08-14T21:23:57.5149668Z * [new tag] trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 2025-08-14T21:23:57.5149920Z * [new tag] trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 2025-08-14T21:23:57.5150168Z * [new tag] trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad 2025-08-14T21:23:57.5150420Z * [new tag] trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f 2025-08-14T21:23:57.5150741Z * [new tag] trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd 2025-08-14T21:23:57.5150984Z * [new tag] trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 2025-08-14T21:23:57.5151240Z * [new tag] trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d 2025-08-14T21:23:57.5151498Z * [new tag] trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 2025-08-14T21:23:57.5151754Z * [new tag] trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df 2025-08-14T21:23:57.5151986Z * [new tag] trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98 2025-08-14T21:23:57.5152233Z * [new tag] trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 2025-08-14T21:23:57.5152476Z * [new tag] trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 2025-08-14T21:23:57.5152731Z * [new tag] trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f 2025-08-14T21:23:57.5152978Z * [new tag] trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 2025-08-14T21:23:57.5153323Z * [new tag] trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 2025-08-14T21:23:57.5159421Z * [new tag] trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a 2025-08-14T21:23:57.5159717Z * [new tag] trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c 2025-08-14T21:23:57.5160020Z * [new tag] trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 2025-08-14T21:23:57.5160271Z * [new tag] trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17 2025-08-14T21:23:57.5160530Z * [new tag] trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b 2025-08-14T21:23:57.5160781Z * [new tag] trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb 2025-08-14T21:23:57.5161113Z * [new tag] trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 2025-08-14T21:23:57.5161401Z * [new tag] trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e 2025-08-14T21:23:57.5161816Z * [new tag] trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c 2025-08-14T21:23:57.5162085Z * [new tag] trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c 2025-08-14T21:23:57.5162349Z * [new tag] trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 2025-08-14T21:23:57.5162600Z * [new tag] trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 2025-08-14T21:23:57.5162847Z * [new tag] trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 2025-08-14T21:23:57.5163112Z * [new tag] trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 2025-08-14T21:23:57.5163367Z * [new tag] trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 2025-08-14T21:23:57.5163722Z * [new tag] trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc 2025-08-14T21:23:57.5163975Z * [new tag] trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe 2025-08-14T21:23:57.5164232Z * [new tag] trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 2025-08-14T21:23:57.5164497Z * [new tag] trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c 2025-08-14T21:23:57.5164755Z * [new tag] trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 2025-08-14T21:23:57.5165006Z * [new tag] trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 2025-08-14T21:23:57.5165256Z * [new tag] trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 2025-08-14T21:23:57.5165509Z * [new tag] trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb 2025-08-14T21:23:57.5166617Z * [new tag] trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d 2025-08-14T21:23:57.5166872Z * [new tag] trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b 2025-08-14T21:23:57.5168751Z * [new tag] trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf 2025-08-14T21:23:57.5169007Z * [new tag] trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb 2025-08-14T21:23:57.5169591Z * [new tag] trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb 2025-08-14T21:23:57.5170293Z * [new tag] trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 2025-08-14T21:23:57.5171036Z * [new tag] trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab 2025-08-14T21:23:57.5171706Z * [new tag] trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393 2025-08-14T21:23:57.5172093Z * [new tag] v0.1.1 -> v0.1.1 2025-08-14T21:23:57.5173091Z * [new tag] v0.1.10 -> v0.1.10 2025-08-14T21:23:57.5173717Z * [new tag] v0.1.11 -> v0.1.11 2025-08-14T21:23:57.5173878Z * [new tag] v0.1.12 -> v0.1.12 2025-08-14T21:23:57.5174687Z * [new tag] v0.1.2 -> v0.1.2 2025-08-14T21:23:57.5174996Z * [new tag] v0.1.3 -> v0.1.3 2025-08-14T21:23:57.5178794Z * [new tag] v0.1.4 -> v0.1.4 2025-08-14T21:23:57.5178938Z * [new tag] v0.1.5 -> v0.1.5 2025-08-14T21:23:57.5179041Z * [new tag] v0.1.6 -> v0.1.6 2025-08-14T21:23:57.5179134Z * [new tag] v0.1.7 -> v0.1.7 2025-08-14T21:23:57.5179226Z * [new tag] v0.1.8 -> v0.1.8 2025-08-14T21:23:57.5179325Z * [new tag] v0.1.9 -> v0.1.9 2025-08-14T21:23:57.5179421Z * [new tag] v0.2.0 -> v0.2.0 2025-08-14T21:23:57.5179931Z * [new tag] v0.3.0 -> v0.3.0 2025-08-14T21:23:57.5180338Z * [new tag] v0.3.1 -> v0.3.1 2025-08-14T21:23:57.5181306Z * [new tag] v0.4.0 -> v0.4.0 2025-08-14T21:23:57.5181626Z * [new tag] v0.4.1 -> v0.4.1 2025-08-14T21:23:57.5182165Z * [new tag] v1.0.0 -> v1.0.0 2025-08-14T21:23:57.5182994Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-14T21:23:57.5183180Z * [new tag] v1.0.1 -> v1.0.1 2025-08-14T21:23:57.5184286Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-14T21:23:57.5184628Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-14T21:23:57.5185065Z * [new tag] v1.1.0 -> v1.1.0 2025-08-14T21:23:57.5185777Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-14T21:23:57.5186675Z * [new tag] v1.10.0 -> v1.10.0 2025-08-14T21:23:57.5187561Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-14T21:23:57.5187815Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-14T21:23:57.5188139Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-14T21:23:57.5189548Z * [new tag] v1.10.1 -> v1.10.1 2025-08-14T21:23:57.5189745Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-14T21:23:57.5189839Z * [new tag] v1.10.2 -> v1.10.2 2025-08-14T21:23:57.5190335Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-14T21:23:57.5190730Z * [new tag] v1.11.0 -> v1.11.0 2025-08-14T21:23:57.5191750Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-14T21:23:57.5192005Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-14T21:23:57.5193054Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-14T21:23:57.5196562Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-14T21:23:57.5196903Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-14T21:23:57.5197045Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-14T21:23:57.5197157Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-14T21:23:57.5197262Z * [new tag] v1.12.0 -> v1.12.0 2025-08-14T21:23:57.5197358Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-14T21:23:57.5197463Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-14T21:23:57.5197564Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-14T21:23:57.5200201Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-14T21:23:57.5200815Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-14T21:23:57.5200949Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-14T21:23:57.5201087Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-14T21:23:57.5201384Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-14T21:23:57.5201496Z * [new tag] v1.12.1 -> v1.12.1 2025-08-14T21:23:57.5201606Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-14T21:23:57.5201701Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-14T21:23:57.5205836Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-14T21:23:57.5205972Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-14T21:23:57.5206069Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-14T21:23:57.5206175Z * [new tag] v1.13.0 -> v1.13.0 2025-08-14T21:23:57.5206405Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-14T21:23:57.5206517Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-14T21:23:57.5206817Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-14T21:23:57.5206936Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-14T21:23:57.5207061Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-14T21:23:57.5207158Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-14T21:23:57.5207252Z * [new tag] v1.13.1 -> v1.13.1 2025-08-14T21:23:57.5209219Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-14T21:23:57.5209842Z * [new tag] v1.2.0 -> v1.2.0 2025-08-14T21:23:57.5209987Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-14T21:23:57.5210104Z * [new tag] v1.3.0 -> v1.3.0 2025-08-14T21:23:57.5210206Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-14T21:23:57.5210328Z * [new tag] v1.3.1 -> v1.3.1 2025-08-14T21:23:57.5210449Z * [new tag] v1.4.0 -> v1.4.0 2025-08-14T21:23:57.5210582Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-14T21:23:57.5211267Z * [new tag] v1.4.1 -> v1.4.1 2025-08-14T21:23:57.5212591Z * [new tag] v1.5.0 -> v1.5.0 2025-08-14T21:23:57.5212717Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-14T21:23:57.5213180Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-14T21:23:57.5214989Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-14T21:23:57.5215125Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-14T21:23:57.5215236Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-14T21:23:57.5216109Z * [new tag] v1.5.1 -> v1.5.1 2025-08-14T21:23:57.5216401Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-14T21:23:57.5216815Z * [new tag] v1.6.0 -> v1.6.0 2025-08-14T21:23:57.5217716Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-14T21:23:57.5218100Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-14T21:23:57.5220671Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-14T21:23:57.5220812Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-14T21:23:57.5220916Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-14T21:23:57.5221036Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-14T21:23:57.5221171Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-14T21:23:57.5222605Z * [new tag] v1.7.0 -> v1.7.0 2025-08-14T21:23:57.5223146Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-14T21:23:57.5223403Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-14T21:23:57.5223688Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-14T21:23:57.5224133Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-14T21:23:57.5225061Z * [new tag] v1.7.1 -> v1.7.1 2025-08-14T21:23:57.5225512Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-14T21:23:57.5228125Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-14T21:23:57.5228410Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-14T21:23:57.5228542Z * [new tag] v1.8.0 -> v1.8.0 2025-08-14T21:23:57.5228741Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-14T21:23:57.5229145Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-14T21:23:57.5229277Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-14T21:23:57.5229645Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-14T21:23:57.5230127Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-14T21:23:57.5230563Z * [new tag] v1.8.1 -> v1.8.1 2025-08-14T21:23:57.5232368Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-14T21:23:57.5232490Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-14T21:23:57.5232620Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-14T21:23:57.5232958Z * [new tag] v1.8.2 -> v1.8.2 2025-08-14T21:23:57.5234423Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-14T21:23:57.5234580Z * [new tag] v1.9.0 -> v1.9.0 2025-08-14T21:23:57.5235083Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-14T21:23:57.5235885Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-14T21:23:57.5236598Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-14T21:23:57.5236849Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-14T21:23:57.5237317Z * [new tag] v1.9.1 -> v1.9.1 2025-08-14T21:23:57.5238437Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-14T21:23:57.5238669Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-14T21:23:57.5239581Z * [new tag] v2.0.0 -> v2.0.0 2025-08-14T21:23:57.5239883Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-14T21:23:57.5240540Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-14T21:23:57.5241093Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-14T21:23:57.5241623Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-14T21:23:57.5242637Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-14T21:23:57.5242882Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-14T21:23:57.5243411Z * [new tag] v2.0.1 -> v2.0.1 2025-08-14T21:23:57.5244338Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-14T21:23:57.5246392Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-14T21:23:57.5246511Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-14T21:23:57.5246678Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-14T21:23:57.5246777Z * [new tag] v2.1.0 -> v2.1.0 2025-08-14T21:23:57.5247005Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-14T21:23:57.5248040Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-14T21:23:57.5248337Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-14T21:23:57.5249369Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-14T21:23:57.5249642Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-14T21:23:57.5250186Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-14T21:23:57.5251387Z * [new tag] v2.1.1 -> v2.1.1 2025-08-14T21:23:57.5252704Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-14T21:23:57.5252925Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-14T21:23:57.5253035Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-14T21:23:57.5253898Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-14T21:23:57.5254355Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-14T21:23:57.5254837Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-14T21:23:57.5255546Z * [new tag] v2.1.2 -> v2.1.2 2025-08-14T21:23:57.5256086Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-14T21:23:57.5258863Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-14T21:23:57.5258993Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-14T21:23:57.5259109Z * [new tag] v2.2.0 -> v2.2.0 2025-08-14T21:23:57.5259214Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-14T21:23:57.5259312Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-14T21:23:57.5259851Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-14T21:23:57.5264506Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-14T21:23:57.5264661Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-14T21:23:57.5264768Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-14T21:23:57.5264872Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-14T21:23:57.5264983Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-14T21:23:57.5265092Z * [new tag] v2.2.1 -> v2.2.1 2025-08-14T21:23:57.5265205Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-14T21:23:57.5265307Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-14T21:23:57.5265410Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-14T21:23:57.5265527Z * [new tag] v2.2.2 -> v2.2.2 2025-08-14T21:23:57.5265641Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-14T21:23:57.5266159Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-14T21:23:57.5267583Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-14T21:23:57.5267735Z * [new tag] v2.3.0 -> v2.3.0 2025-08-14T21:23:57.5268021Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-14T21:23:57.5268925Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-14T21:23:57.5269238Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-14T21:23:57.5271883Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-14T21:23:57.5272031Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-14T21:23:57.5272151Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-14T21:23:57.5272272Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-14T21:23:57.5272899Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-14T21:23:57.5273170Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-14T21:23:57.5274218Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-14T21:23:57.5274333Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-14T21:23:57.5275266Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-14T21:23:57.5275636Z * [new tag] v2.3.1 -> v2.3.1 2025-08-14T21:23:57.5276131Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-14T21:23:57.5276722Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-14T21:23:57.5277479Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-14T21:23:57.5277983Z * [new tag] v2.4.0 -> v2.4.0 2025-08-14T21:23:57.5278837Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-14T21:23:57.5279223Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-14T21:23:57.5280183Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-14T21:23:57.5280413Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-14T21:23:57.5281440Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-14T21:23:57.5281705Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-14T21:23:57.5282742Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-14T21:23:57.5282863Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-14T21:23:57.5284079Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-14T21:23:57.5284326Z * [new tag] v2.4.1 -> v2.4.1 2025-08-14T21:23:57.5284877Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-14T21:23:57.5285793Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-14T21:23:57.5286983Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-14T21:23:57.5287225Z * [new tag] v2.5.0 -> v2.5.0 2025-08-14T21:23:57.5287341Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-14T21:23:57.5287838Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-14T21:23:57.5288562Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-14T21:23:57.5289053Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-14T21:23:57.5290007Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-14T21:23:57.5290389Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-14T21:23:57.5291555Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-14T21:23:57.5291869Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-14T21:23:57.5292942Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-14T21:23:57.5293060Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-14T21:23:57.5294000Z * [new tag] v2.5.1 -> v2.5.1 2025-08-14T21:23:57.5294578Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-14T21:23:57.5294717Z * [new tag] v2.6.0 -> v2.6.0 2025-08-14T21:23:57.5295712Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-14T21:23:57.5296092Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-14T21:23:57.5297037Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-14T21:23:57.5297291Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-14T21:23:57.5298585Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-14T21:23:57.5299724Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-14T21:23:57.5300331Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-14T21:23:57.5300907Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-14T21:23:57.5301209Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-14T21:23:57.5302320Z * [new tag] v2.7.0 -> v2.7.0 2025-08-14T21:23:57.5303409Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-14T21:23:57.5303569Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-14T21:23:57.5303851Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-14T21:23:57.5304782Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-14T21:23:57.5305584Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-14T21:23:57.5305754Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-14T21:23:57.5306601Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-14T21:23:57.5306999Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-14T21:23:57.5307944Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-14T21:23:57.5308348Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-14T21:23:57.5310844Z * [new tag] v2.7.1 -> v2.7.1 2025-08-14T21:23:57.5311008Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-14T21:23:57.5311114Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-14T21:23:57.5311220Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-14T21:23:57.5312149Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-14T21:23:57.5313238Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-14T21:23:57.5313490Z * [new tag] v2.8.0 -> v2.8.0 2025-08-14T21:23:57.5314679Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-14T21:23:57.5314940Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-14T21:23:57.5316014Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-14T21:23:57.5318972Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-14T21:23:57.5319457Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-14T21:23:57.5319619Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-14T21:23:57.5319734Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-14T21:23:57.5319853Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-14T21:23:57.5323360Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-14T21:23:57.5323711Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-14T21:23:57.5323838Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-14T21:23:57.5835833Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object} 2025-08-14T21:23:57.5861968Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:23:57.5864754Z ##[endgroup] 2025-08-14T21:23:57.5864976Z ##[group]Determining the checkout info 2025-08-14T21:23:57.5867041Z ##[endgroup] 2025-08-14T21:23:57.5873522Z [command]/usr/bin/git sparse-checkout disable 2025-08-14T21:23:57.5912729Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-14T21:23:57.5960981Z ##[group]Checking out the ref 2025-08-14T21:23:57.5963204Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:23:58.6282708Z Updating files: 97% (18921/19474) 2025-08-14T21:23:58.6523761Z Updating files: 98% (19085/19474) 2025-08-14T21:23:58.6652889Z Updating files: 99% (19280/19474) 2025-08-14T21:23:58.6653191Z Updating files: 100% (19474/19474) 2025-08-14T21:23:58.6656926Z Updating files: 100% (19474/19474), done. 2025-08-14T21:23:58.6883352Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'. 2025-08-14T21:23:58.6883782Z 2025-08-14T21:23:58.6884146Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:23:58.6884519Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:23:58.6884891Z state without impacting any branches by switching back to a branch. 2025-08-14T21:23:58.6885158Z 2025-08-14T21:23:58.6885304Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:23:58.6885642Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:23:58.6886145Z 2025-08-14T21:23:58.6886255Z git switch -c 2025-08-14T21:23:58.6886401Z 2025-08-14T21:23:58.6886496Z Or undo this operation with: 2025-08-14T21:23:58.6886627Z 2025-08-14T21:23:58.6886700Z git switch - 2025-08-14T21:23:58.6886810Z 2025-08-14T21:23:58.6886979Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:23:58.6887231Z 2025-08-14T21:23:58.6887500Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645) 2025-08-14T21:23:58.6955748Z ##[endgroup] 2025-08-14T21:23:58.6956275Z ##[group]Setting up auth for fetching submodules 2025-08-14T21:23:58.6961153Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:23:58.7019073Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-14T21:23:58.7049199Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-14T21:23:58.7077779Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-14T21:23:58.7102643Z ##[endgroup] 2025-08-14T21:23:58.7102985Z ##[group]Fetching submodules 2025-08-14T21:23:58.7104064Z [command]/usr/bin/git submodule sync --recursive 2025-08-14T21:23:58.7483422Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-14T21:23:58.7843391Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-14T21:23:58.7844198Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-14T21:23:58.7844783Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-14T21:23:58.7845370Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-14T21:23:58.7845961Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-14T21:23:58.7847770Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-14T21:23:58.7849821Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-14T21:23:58.7854524Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-14T21:23:58.7855509Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-14T21:23:58.7856540Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-14T21:23:58.7863106Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-14T21:23:58.7863774Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-14T21:23:58.7864711Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-14T21:23:58.7865452Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-14T21:23:58.7871712Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-14T21:23:58.7877528Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-14T21:23:58.7878424Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-14T21:23:58.7879452Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-14T21:23:58.7880174Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:23:58.7883324Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-14T21:23:58.7884638Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-14T21:23:58.7887571Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-14T21:23:58.7890130Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-14T21:23:58.7892854Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-14T21:23:58.7898168Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-14T21:23:58.7898790Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-14T21:23:58.7902931Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-14T21:23:58.8278793Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-14T21:23:58.8280329Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-14T21:23:58.8283580Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-14T21:23:58.8286051Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-14T21:23:58.8289589Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-14T21:23:58.8292898Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-14T21:23:58.8299512Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-14T21:23:58.8300145Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-14T21:23:58.8303574Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-14T21:23:58.8307661Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-14T21:23:58.8338525Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-14T21:23:59.0595974Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-14T21:23:59.0596509Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-14T21:23:59.0596955Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-14T21:23:59.0597405Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-14T21:23:59.0615003Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-14T21:24:00.3719552Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-14T21:24:00.3720804Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-14T21:24:00.3721820Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-14T21:24:00.3722837Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-14T21:24:00.3724226Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-14T21:24:00.3725356Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-14T21:24:00.3726395Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-14T21:24:00.3727414Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-14T21:24:00.3728443Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-14T21:24:00.3729510Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-14T21:24:00.3730518Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-14T21:24:00.3732072Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-14T21:24:00.3733169Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-14T21:24:00.3734111Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-14T21:24:00.3735035Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-14T21:24:00.3735947Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-14T21:24:00.3736939Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-14T21:24:00.4721468Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-14T21:24:00.6052469Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-14T21:24:00.6053353Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-14T21:24:00.6467715Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-14T21:24:12.6436658Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-14T21:24:12.6438914Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-14T21:24:12.6439612Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-14T21:24:12.6444912Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-14T21:24:12.6445532Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-14T21:24:12.6446124Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-14T21:24:12.6446563Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-14T21:24:12.6446994Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-14T21:24:12.6447791Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-14T21:24:12.6448248Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-14T21:24:12.6569443Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-14T21:24:12.6683525Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-14T21:24:12.6778953Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-14T21:24:12.6991532Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-14T21:24:12.7710332Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-14T21:24:12.8201726Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-14T21:24:13.3961019Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-14T21:24:13.5299947Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-14T21:24:13.5323900Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:24:13.5347699Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-14T21:24:16.9823689Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-14T21:24:17.0037402Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-14T21:24:17.2679928Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-14T21:24:17.3160021Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-14T21:24:17.4075993Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-14T21:24:17.4496946Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-14T21:24:18.0080299Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-14T21:24:18.1276835Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-14T21:24:18.1297333Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-14T21:24:18.1298105Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:24:18.1298818Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:24:18.1299476Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-14T21:24:18.1300446Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-14T21:24:18.1305949Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:24:18.1306778Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-14T21:24:18.1334275Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-14T21:24:19.3551712Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-14T21:24:19.3552309Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-14T21:24:19.3553096Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-14T21:24:19.3553653Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-14T21:24:19.4553672Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-14T21:24:20.4085666Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-14T21:24:24.8630276Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:24:25.0743392Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:24:25.1672278Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:24:25.7129134Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:24:25.7560214Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:24:25.7679925Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:24:25.8628612Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:24:25.9256255Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-14T21:24:25.9282219Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:24:25.9283009Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:24:25.9303439Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-14T21:24:29.0510055Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-14T21:24:29.2431945Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-14T21:24:29.7417838Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-14T21:24:29.8615326Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-14T21:24:29.8936695Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-14T21:24:29.9344372Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-14T21:24:29.9562802Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-14T21:24:29.9969941Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:24:30.0095138Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-14T21:24:30.0110938Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-14T21:24:30.0142392Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-14T21:24:41.7143422Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-14T21:24:41.7330928Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-14T21:24:41.8233164Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-14T21:24:41.8250049Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:24:41.8251087Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:24:41.8254603Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:24:41.8283638Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-14T21:24:42.4714537Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-14T21:24:43.0636191Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-14T21:24:43.1385436Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-14T21:24:43.1398123Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:24:43.1398906Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:24:43.1399620Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:24:43.1400357Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:24:43.1401142Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:24:43.1406037Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:24:43.1406923Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:24:43.1409084Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:24:43.1442391Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-14T21:24:44.4241490Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-14T21:24:44.4242267Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-14T21:24:44.4243099Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-14T21:24:44.4243904Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-14T21:24:44.4244620Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-14T21:24:44.4245418Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-14T21:24:44.5240606Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-14T21:24:49.8220965Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-14T21:24:49.8388261Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-14T21:24:49.8721103Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-14T21:24:49.8851971Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-14T21:24:49.8869756Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:24:49.8895663Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-14T21:24:50.1597202Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-14T21:24:50.1765754Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-14T21:24:50.2155932Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-14T21:24:50.3096699Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-14T21:24:50.3262552Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-14T21:24:50.3578270Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-14T21:24:50.4125720Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-14T21:24:50.4522829Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-14T21:24:50.4880493Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-14T21:24:50.5951508Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-14T21:24:50.9023439Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-14T21:24:50.9058083Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-08-14T21:24:50.9083555Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-08-14T21:24:52.3088439Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:24:52.3682317Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-14T21:24:52.3701914Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:24:52.3702765Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:24:52.3703491Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:24:52.3704609Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:24:52.3706746Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:24:52.3711581Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:24:52.3712686Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:24:52.3717026Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:24:52.3742458Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-14T21:24:52.7872762Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-14T21:24:52.7873724Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-14T21:24:52.7874922Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-14T21:24:52.7876645Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-14T21:24:52.8877192Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-14T21:24:53.4543218Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-14T21:25:00.4618805Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-14T21:25:00.9919874Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-14T21:25:01.0369667Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-14T21:25:01.0649760Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-08-14T21:25:01.2019218Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-08-14T21:25:01.2158490Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-08-14T21:25:01.2294893Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-08-14T21:25:01.2491351Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-08-14T21:25:01.2506671Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:25:01.2507852Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:25:01.2538073Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-08-14T21:25:02.9331718Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-08-14T21:25:03.1638382Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-08-14T21:25:03.2063609Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-08-14T21:25:03.5640976Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-08-14T21:25:03.5753455Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-08-14T21:25:03.8159606Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-08-14T21:25:03.8181246Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:25:03.8182051Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-08-14T21:25:03.8209082Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-08-14T21:25:04.3717637Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-08-14T21:25:04.8246269Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-08-14T21:25:04.8920445Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-08-14T21:25:04.9009536Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-08-14T21:25:04.9148142Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-08-14T21:25:04.9500165Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:25:04.9760190Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-08-14T21:25:05.0171554Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-08-14T21:25:05.0410138Z Submodule path 'third_party/tensorpipe': checked out 'dacda0567d9f23d4bc503e1c4f84aa65f33ac38a' 2025-08-14T21:25:05.0427684Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:25:05.0432625Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:25:05.0434949Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:25:05.0435785Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:25:05.0458027Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-08-14T21:25:06.0017964Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-08-14T21:25:06.0018878Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-08-14T21:25:06.1020214Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-08-14T21:25:06.2764540Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-08-14T21:25:06.2909652Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-08-14T21:25:06.3586159Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-08-14T21:25:06.3860260Z Submodule 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'third_party/XNNPACK' 2025-08-14T21:25:08.2244727Z Entering 'third_party/aiter' 2025-08-14T21:25:08.2286592Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:25:08.2337980Z Entering 'third_party/benchmark' 2025-08-14T21:25:08.2384573Z Entering 'third_party/composable_kernel' 2025-08-14T21:25:08.2430837Z Entering 'third_party/cpp-httplib' 2025-08-14T21:25:08.2475016Z Entering 'third_party/cpuinfo' 2025-08-14T21:25:08.2513956Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:25:08.2563306Z Entering 'third_party/cutlass' 2025-08-14T21:25:08.2606482Z Entering 'third_party/fbgemm' 2025-08-14T21:25:08.2653831Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:25:08.2693234Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:25:08.2738473Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:25:08.2782308Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:25:08.2830560Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:25:08.2872475Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:25:08.2913378Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:25:08.2953847Z Entering 'third_party/flash-attention' 2025-08-14T21:25:08.2999661Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:25:08.3045265Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:25:08.3093277Z Entering 'third_party/flatbuffers' 2025-08-14T21:25:08.3141175Z Entering 'third_party/fmt' 2025-08-14T21:25:08.3182366Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:25:08.3223896Z Entering 'third_party/gloo' 2025-08-14T21:25:08.3263559Z Entering 'third_party/googletest' 2025-08-14T21:25:08.3304347Z Entering 'third_party/ideep' 2025-08-14T21:25:08.3344299Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:25:08.3390741Z Entering 'third_party/ittapi' 2025-08-14T21:25:08.3439138Z Entering 'third_party/kineto' 2025-08-14T21:25:08.3478265Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:25:08.3514565Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:25:08.3557445Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:25:08.3599411Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:25:08.3646222Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:25:08.3686921Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:25:08.3729913Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:25:08.3768305Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:25:08.3810010Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:25:08.3857988Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:25:08.3899444Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:25:08.3940714Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:25:08.3982720Z Entering 'third_party/kleidiai' 2025-08-14T21:25:08.4025960Z Entering 'third_party/mimalloc' 2025-08-14T21:25:08.4070255Z Entering 'third_party/nlohmann' 2025-08-14T21:25:08.4111438Z Entering 'third_party/onnx' 2025-08-14T21:25:08.4168009Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:25:08.4210423Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:25:08.4251908Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:25:08.4298698Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:25:08.4339271Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:25:08.4380307Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:25:08.4427643Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:25:08.4467588Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:25:08.4502758Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:25:08.4544770Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:25:08.4587329Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:25:08.4628890Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:25:08.4684971Z Entering 'third_party/pocketfft' 2025-08-14T21:25:08.4725523Z Entering 'third_party/protobuf' 2025-08-14T21:25:08.4768796Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:25:08.4806877Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:25:08.4851167Z Entering 'third_party/psimd' 2025-08-14T21:25:08.4894577Z Entering 'third_party/pthreadpool' 2025-08-14T21:25:08.4936460Z Entering 'third_party/pybind11' 2025-08-14T21:25:08.4977431Z Entering 'third_party/python-peachpy' 2025-08-14T21:25:08.5018972Z Entering 'third_party/sleef' 2025-08-14T21:25:08.5059791Z Entering 'third_party/tensorpipe' 2025-08-14T21:25:08.5100480Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:25:08.5147356Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:25:08.5185328Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:25:08.5222980Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:25:08.5260192Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:25:08.5323652Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-14T21:25:08.5647395Z Entering 'android/libs/fbjni' 2025-08-14T21:25:08.5683865Z Entering 'third_party/FP16' 2025-08-14T21:25:08.5727488Z Entering 'third_party/FXdiv' 2025-08-14T21:25:08.5767434Z Entering 'third_party/NNPACK' 2025-08-14T21:25:08.5808812Z Entering 'third_party/NVTX' 2025-08-14T21:25:08.5855758Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:25:08.5901551Z Entering 'third_party/XNNPACK' 2025-08-14T21:25:08.5955287Z Entering 'third_party/aiter' 2025-08-14T21:25:08.5998344Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:25:08.6046781Z Entering 'third_party/benchmark' 2025-08-14T21:25:08.6087294Z Entering 'third_party/composable_kernel' 2025-08-14T21:25:08.6139219Z Entering 'third_party/cpp-httplib' 2025-08-14T21:25:08.6180447Z Entering 'third_party/cpuinfo' 2025-08-14T21:25:08.6223049Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:25:08.6265570Z Entering 'third_party/cutlass' 2025-08-14T21:25:08.6312840Z Entering 'third_party/fbgemm' 2025-08-14T21:25:08.6354911Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:25:08.6398880Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:25:08.6447430Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:25:08.6483059Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:25:08.6532140Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:25:08.6574395Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:25:08.6609952Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:25:08.6655030Z Entering 'third_party/flash-attention' 2025-08-14T21:25:08.6698659Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:25:08.6745070Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:25:08.6794488Z Entering 'third_party/flatbuffers' 2025-08-14T21:25:08.6840716Z Entering 'third_party/fmt' 2025-08-14T21:25:08.6886666Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:25:08.6924719Z Entering 'third_party/gloo' 2025-08-14T21:25:08.6966236Z Entering 'third_party/googletest' 2025-08-14T21:25:08.7009174Z Entering 'third_party/ideep' 2025-08-14T21:25:08.7048989Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:25:08.7095907Z Entering 'third_party/ittapi' 2025-08-14T21:25:08.7137374Z Entering 'third_party/kineto' 2025-08-14T21:25:08.7180391Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:25:08.7218660Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:25:08.7268355Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:25:08.7303596Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:25:08.7349820Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:25:08.7388837Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:25:08.7431541Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:25:08.7474217Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:25:08.7513989Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:25:08.7559459Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:25:08.7599573Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:25:08.7640011Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:25:08.7684720Z Entering 'third_party/kleidiai' 2025-08-14T21:25:08.7729184Z Entering 'third_party/mimalloc' 2025-08-14T21:25:08.7773133Z Entering 'third_party/nlohmann' 2025-08-14T21:25:08.7815159Z Entering 'third_party/onnx' 2025-08-14T21:25:08.7872531Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:25:08.7914301Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:25:08.7956605Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:25:08.7997690Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:25:08.8046015Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:25:08.8081062Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:25:08.8120780Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:25:08.8161711Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:25:08.8199099Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:25:08.8238735Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:25:08.8284416Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:25:08.8325541Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:25:08.8380393Z Entering 'third_party/pocketfft' 2025-08-14T21:25:08.8420746Z Entering 'third_party/protobuf' 2025-08-14T21:25:08.8463961Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:25:08.8499998Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:25:08.8541956Z Entering 'third_party/psimd' 2025-08-14T21:25:08.8583366Z Entering 'third_party/pthreadpool' 2025-08-14T21:25:08.8623376Z Entering 'third_party/pybind11' 2025-08-14T21:25:08.8662331Z Entering 'third_party/python-peachpy' 2025-08-14T21:25:08.8701352Z Entering 'third_party/sleef' 2025-08-14T21:25:08.8746998Z Entering 'third_party/tensorpipe' 2025-08-14T21:25:08.8786865Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:25:08.8825216Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:25:08.8866947Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:25:08.8906792Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:25:08.8945406Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:25:08.8999305Z ##[endgroup] 2025-08-14T21:25:08.9033734Z [command]/usr/bin/git log -1 --format=%H 2025-08-14T21:25:08.9062245Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:25:08.9224614Z Prepare all required actions 2025-08-14T21:25:08.9225167Z Getting action download info 2025-08-14T21:25:09.0352498Z ##[group]Run ./.github/actions/setup-linux 2025-08-14T21:25:09.0352736Z env: 2025-08-14T21:25:09.0352910Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:09.0353101Z ##[endgroup] 2025-08-14T21:25:09.0386115Z ##[group]Run set -euo pipefail 2025-08-14T21:25:09.0386381Z set -euo pipefail 2025-08-14T21:25:09.0386587Z function get_ec2_metadata() { 2025-08-14T21:25:09.0386836Z  # Pulled from instance metadata endpoint for EC2 2025-08-14T21:25:09.0387263Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-08-14T21:25:09.0387616Z  category=$1 2025-08-14T21:25:09.0387851Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-08-14T21:25:09.0388135Z  runner_name_str=i-0c68087759510ebf3 2025-08-14T21:25:09.0388413Z  if [[ -f /.inarc ]]; then 2025-08-14T21:25:09.0388643Z  echo "ARC Runner, no info on ec2 metadata" 2025-08-14T21:25:09.0388899Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-08-14T21:25:09.0389196Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-08-14T21:25:09.0389463Z  else 2025-08-14T21:25:09.0389980Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-08-14T21:25:09.0390630Z  fi 2025-08-14T21:25:09.0390789Z } 2025-08-14T21:25:09.0390969Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-08-14T21:25:09.0391239Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-08-14T21:25:09.0391537Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-08-14T21:25:09.0391794Z echo "system info $(uname -a)" 2025-08-14T21:25:09.0399533Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:09.0399788Z env: 2025-08-14T21:25:09.0399965Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:09.0400158Z ##[endgroup] 2025-08-14T21:25:09.0553555Z ami-id: ami-05ffe3c48a9991133 2025-08-14T21:25:09.0651345Z instance-id: i-0c68087759510ebf3 2025-08-14T21:25:09.0743560Z instance-type: m7i-flex.8xlarge 2025-08-14T21:25:09.0757187Z system info Linux ip-10-0-34-97.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-08-14T21:25:09.0794931Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:25:09.0795533Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:25:09.0801792Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:09.0802076Z env: 2025-08-14T21:25:09.0802248Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:09.0802431Z ##[endgroup] 2025-08-14T21:25:09.0850877Z ##[group]Run if systemctl is-active --quiet docker; then 2025-08-14T21:25:09.0851222Z if systemctl is-active --quiet docker; then 2025-08-14T21:25:09.0851493Z  echo "Docker daemon is running..."; 2025-08-14T21:25:09.0851717Z else 2025-08-14T21:25:09.0851974Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-08-14T21:25:09.0852257Z fi 2025-08-14T21:25:09.0856695Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:09.0856949Z env: 2025-08-14T21:25:09.0857118Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:09.0857307Z ##[endgroup] 2025-08-14T21:25:09.0942037Z Docker daemon is running... 2025-08-14T21:25:09.0970987Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:25:09.0971264Z with: 2025-08-14T21:25:09.0971433Z shell: bash 2025-08-14T21:25:09.0971763Z timeout_minutes: 5 2025-08-14T21:25:09.0971955Z max_attempts: 3 2025-08-14T21:25:09.0972136Z retry_wait_seconds: 30 2025-08-14T21:25:09.0973639Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-08-14T21:25:09.0975085Z polling_interval_seconds: 1 2025-08-14T21:25:09.0975298Z warning_on_retry: true 2025-08-14T21:25:09.0975494Z continue_on_error: false 2025-08-14T21:25:09.0975679Z env: 2025-08-14T21:25:09.0975853Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:09.0976051Z AWS_RETRY_MODE: standard 2025-08-14T21:25:09.0976237Z AWS_MAX_ATTEMPTS: 5 2025-08-14T21:25:09.0976433Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:25:09.0976637Z ##[endgroup] 2025-08-14T21:25:10.0823463Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:25:10.0823896Z Configure a credential helper to remove this warning. See 2025-08-14T21:25:10.0824283Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:25:10.0825937Z 2025-08-14T21:25:10.0826957Z Login Succeeded 2025-08-14T21:25:10.1700294Z Command completed after 1 attempt(s). 2025-08-14T21:25:10.1745488Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:25:10.1745842Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:25:10.1746133Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:25:10.1753091Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:10.1753334Z env: 2025-08-14T21:25:10.1753491Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:10.1753658Z ##[endgroup] 2025-08-14T21:25:10.1841915Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:25:10.1842306Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:25:10.1842591Z # shellcheck disable=SC2046 2025-08-14T21:25:10.1842825Z docker stop $(docker ps -q) || true 2025-08-14T21:25:10.1843053Z # Prune all of the docker images 2025-08-14T21:25:10.1843297Z docker system prune -af 2025-08-14T21:25:10.1848536Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:10.1848782Z env: 2025-08-14T21:25:10.1848949Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:10.1849143Z ##[endgroup] 2025-08-14T21:25:10.2291638Z "docker stop" requires at least 1 argument. 2025-08-14T21:25:10.2291985Z See 'docker stop --help'. 2025-08-14T21:25:10.2292156Z 2025-08-14T21:25:10.2292285Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-14T21:25:10.2292477Z 2025-08-14T21:25:10.2292565Z Stop one or more running containers 2025-08-14T21:25:10.2516349Z Total reclaimed space: 0B 2025-08-14T21:25:10.2550485Z ##[group]Run set +e 2025-08-14T21:25:10.2550712Z set +e 2025-08-14T21:25:10.2550891Z set -x 2025-08-14T21:25:10.2551060Z  2025-08-14T21:25:10.2551237Z PT_DOMAIN=download.pytorch.org 2025-08-14T21:25:10.2551623Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-08-14T21:25:10.2552107Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-08-14T21:25:10.2552436Z # one is returned at random 2025-08-14T21:25:10.2552698Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-08-14T21:25:10.2552949Z  2025-08-14T21:25:10.2553240Z if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:25:10.2553526Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-08-14T21:25:10.2553861Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-08-14T21:25:10.2554116Z  2025-08-14T21:25:10.2554290Z  if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:25:10.2554544Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-08-14T21:25:10.2554788Z  exit 1 2025-08-14T21:25:10.2554962Z  fi 2025-08-14T21:25:10.2555114Z fi 2025-08-14T21:25:10.2555271Z  2025-08-14T21:25:10.2555456Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-08-14T21:25:10.2555717Z  # Clean up any old records first 2025-08-14T21:25:10.2555961Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-08-14T21:25:10.2556172Z fi 2025-08-14T21:25:10.2556313Z  2025-08-14T21:25:10.2556529Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-08-14T21:25:10.2556790Z cat /etc/hosts 2025-08-14T21:25:10.2561573Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:10.2561823Z env: 2025-08-14T21:25:10.2561985Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:10.2562166Z ##[endgroup] 2025-08-14T21:25:10.2583087Z + PT_DOMAIN=download.pytorch.org 2025-08-14T21:25:10.2591878Z ++ tail -n1 2025-08-14T21:25:10.2592131Z ++ dig -4 +short download.pytorch.org 2025-08-14T21:25:10.2945076Z + RESOLVED_IP=18.160.10.28 2025-08-14T21:25:10.2945368Z + '[' -z 18.160.10.28 ']' 2025-08-14T21:25:10.2945899Z + grep -r download.pytorch.org /etc/hosts 2025-08-14T21:25:10.2960764Z + echo '18.160.10.28 download.pytorch.org' 2025-08-14T21:25:10.2961025Z + sudo tee -a /etc/hosts 2025-08-14T21:25:10.6340922Z 18.160.10.28 download.pytorch.org 2025-08-14T21:25:10.6364748Z + cat /etc/hosts 2025-08-14T21:25:10.6398124Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-08-14T21:25:10.6403556Z ::1 localhost6 localhost6.localdomain6 2025-08-14T21:25:10.6403846Z 18.160.10.28 download.pytorch.org 2025-08-14T21:25:10.6516419Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-14T21:25:10.6516757Z with: 2025-08-14T21:25:10.6517329Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:10.6517957Z use-custom-docker-registry: true 2025-08-14T21:25:10.6518178Z docker-build-dir: .ci/docker 2025-08-14T21:25:10.6518866Z docker-build-script: ./build.sh 2025-08-14T21:25:10.6519112Z working-directory: . 2025-08-14T21:25:10.6519359Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:10.6519635Z force-push: false 2025-08-14T21:25:10.6519807Z env: 2025-08-14T21:25:10.6519963Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:10.6520154Z ##[endgroup] 2025-08-14T21:25:10.6534750Z ##[group]Run set -ex 2025-08-14T21:25:10.6534997Z set -ex 2025-08-14T21:25:10.6535171Z  2025-08-14T21:25:10.6535511Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-14T21:25:10.6535961Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-14T21:25:10.6536338Z # job could then download the pre-built image as usual 2025-08-14T21:25:10.6536808Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-14T21:25:10.6537251Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:10.6537480Z else 2025-08-14T21:25:10.6537683Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:10.6537995Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:10.6538279Z  2025-08-14T21:25:10.6538651Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-14T21:25:10.6539062Z  exit 0 2025-08-14T21:25:10.6539230Z fi 2025-08-14T21:25:10.6539383Z  2025-08-14T21:25:10.6539671Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-14T21:25:10.6540081Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-14T21:25:10.6540442Z  # use it as it is, but first let's extract the tag 2025-08-14T21:25:10.6540771Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-14T21:25:10.6541127Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:10.6541462Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:10.6541736Z else 2025-08-14T21:25:10.6541931Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-14T21:25:10.6542205Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-14T21:25:10.6542487Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-14T21:25:10.6542713Z  fi 2025-08-14T21:25:10.6543031Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-14T21:25:10.6543438Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:10.6543857Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:10.6544435Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:10.6544728Z fi 2025-08-14T21:25:10.6551322Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:10.6551574Z env: 2025-08-14T21:25:10.6551745Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:10.6551940Z REPO_NAME: pytorch 2025-08-14T21:25:10.6552632Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:10.6553217Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:25:10.6553420Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-14T21:25:10.6553682Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:10.6553939Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-14T21:25:10.6554144Z CUSTOM_TAG_PREFIX: 2025-08-14T21:25:10.6554321Z ##[endgroup] 2025-08-14T21:25:10.6578015Z + [[ -d .ci/docker ]] 2025-08-14T21:25:10.6578835Z + [[ -f .ci/docker/./build.sh ]] 2025-08-14T21:25:10.6579295Z + [[ true == \t\r\u\e ]] 2025-08-14T21:25:10.6579612Z + echo skip=false 2025-08-14T21:25:10.6580452Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-08-14T21:25:10.6585232Z ++ awk -F '[:,]' '{print $2}' 2025-08-14T21:25:10.6590482Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:10.6621842Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:10.6622557Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:10.6623326Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:10.6640920Z ##[group]Run set +e 2025-08-14T21:25:10.6641152Z set +e 2025-08-14T21:25:10.6641319Z set -x 2025-08-14T21:25:10.6641476Z  2025-08-14T21:25:10.6641616Z login() { 2025-08-14T21:25:10.6641964Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:25:10.6642294Z } 2025-08-14T21:25:10.6642433Z  2025-08-14T21:25:10.6642578Z retry () { 2025-08-14T21:25:10.6642766Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:25:10.6642971Z } 2025-08-14T21:25:10.6643109Z  2025-08-14T21:25:10.6643268Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:25:10.6643465Z  2025-08-14T21:25:10.6643608Z START_TIME=$(date +%s) 2025-08-14T21:25:10.6643816Z # Wait up to 120 minutes 2025-08-14T21:25:10.6644064Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-14T21:25:10.6644362Z  # Check if image already exists, if it does then skip building it 2025-08-14T21:25:10.6644671Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-14T21:25:10.6644901Z  exit 0 2025-08-14T21:25:10.6645061Z  fi 2025-08-14T21:25:10.6645202Z  2025-08-14T21:25:10.6645451Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-14T21:25:10.6645842Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-14T21:25:10.6646221Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-14T21:25:10.6646541Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-14T21:25:10.6646797Z  # It's a Docker build job, let's build the image 2025-08-14T21:25:10.6647103Z  break 2025-08-14T21:25:10.6647255Z  else 2025-08-14T21:25:10.6647474Z  # It's a regular build job, wait for the image to become available 2025-08-14T21:25:10.6647727Z  sleep 300 2025-08-14T21:25:10.6647883Z  fi 2025-08-14T21:25:10.6648030Z done 2025-08-14T21:25:10.6648171Z  2025-08-14T21:25:10.6648396Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-14T21:25:10.6648821Z # be empty. The default action would be to continue rebuild the image 2025-08-14T21:25:10.6649141Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-14T21:25:10.6649424Z  # if we're on the base branch then use the parent commit 2025-08-14T21:25:10.6649671Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-14T21:25:10.6649873Z else 2025-08-14T21:25:10.6650088Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-14T21:25:10.6650399Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-14T21:25:10.6650626Z fi 2025-08-14T21:25:10.6651023Z  2025-08-14T21:25:10.6651198Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-14T21:25:10.6651434Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:10.6651659Z  2025-08-14T21:25:10.6651967Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-14T21:25:10.6652306Z  exit 0 2025-08-14T21:25:10.6652469Z fi 2025-08-14T21:25:10.6652625Z  2025-08-14T21:25:10.6652832Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-14T21:25:10.6653228Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-14T21:25:10.6653575Z  exit 1 2025-08-14T21:25:10.6653729Z fi 2025-08-14T21:25:10.6653863Z  2025-08-14T21:25:10.6654093Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-14T21:25:10.6654491Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-14T21:25:10.6654858Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-14T21:25:10.6655275Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-14T21:25:10.6655748Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-14T21:25:10.6656039Z fi 2025-08-14T21:25:10.6656185Z  2025-08-14T21:25:10.6656364Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:10.6661423Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:10.6661676Z env: 2025-08-14T21:25:10.6661836Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:10.6662038Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:25:10.6662284Z BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:25:10.6662895Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:10.6663675Z DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:10.6664147Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:10.6664403Z DOCKER_PUSH: 2025-08-14T21:25:10.6664564Z ##[endgroup] 2025-08-14T21:25:10.6684808Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:10.6685162Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:10.6688502Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:10.6688862Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:25:11.1438440Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:25:11.1438886Z Configure a credential helper to remove this warning. See 2025-08-14T21:25:11.1439302Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:25:11.1439557Z 2025-08-14T21:25:11.1439640Z Login Succeeded 2025-08-14T21:25:11.1459002Z ++ date +%s 2025-08-14T21:25:11.1468670Z + START_TIME=1755206711 2025-08-14T21:25:11.1472519Z ++ date +%s 2025-08-14T21:25:11.1482080Z + [[ 1755199511 -lt 1755206711 ]] 2025-08-14T21:25:11.1482769Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:11.3905979Z { 2025-08-14T21:25:11.3906231Z "schemaVersion": 2, 2025-08-14T21:25:11.3906587Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-14T21:25:11.3906940Z "config": { 2025-08-14T21:25:11.3907217Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-14T21:25:11.3907482Z "size": 30151, 2025-08-14T21:25:11.3907768Z "digest": 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"sha256:9fb73296da6ac15f37f36663bd10afc98abb8a01fb40bff4848de7247d28e018" 2025-08-14T21:25:11.3997750Z }, 2025-08-14T21:25:11.3997887Z { 2025-08-14T21:25:11.3998105Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:25:11.3998366Z "size": 32, 2025-08-14T21:25:11.3998631Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:25:11.3998925Z } 2025-08-14T21:25:11.3999060Z ] 2025-08-14T21:25:11.3999192Z } 2025-08-14T21:25:11.3999355Z + exit 0 2025-08-14T21:25:11.4020334Z ##[group]Run set -eux 2025-08-14T21:25:11.4020564Z set -eux 2025-08-14T21:25:11.4021130Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin 2025-08-14T21:25:11.4027866Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:11.4028128Z env: 2025-08-14T21:25:11.4028290Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:11.4028473Z ##[endgroup] 2025-08-14T21:25:11.4056448Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-14T21:25:11.4059531Z + jq --raw-output .SecretString 2025-08-14T21:25:11.4059777Z + jq -r .docker_hub_readonly_token 2025-08-14T21:25:11.4060116Z + docker login --username pytorchbot --password-stdin 2025-08-14T21:25:11.8956099Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:25:11.8956570Z Configure a credential helper to remove this warning. See 2025-08-14T21:25:11.8956973Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:25:11.8957227Z 2025-08-14T21:25:11.8957310Z Login Succeeded 2025-08-14T21:25:11.9029302Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:25:11.9029584Z tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:25:11.9029842Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-08-14T21:25:11.9034726Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:11.9034985Z env: 2025-08-14T21:25:11.9035143Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:11.9035722Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:11.9036266Z ##[endgroup] 2025-08-14T21:25:11.9060474Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:11.9097030Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-14T21:25:11.9097390Z with: 2025-08-14T21:25:11.9098047Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:11.9098955Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:11.9099264Z env: 2025-08-14T21:25:11.9099452Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:11.9099667Z ##[endgroup] 2025-08-14T21:25:11.9111076Z ##[group]Run set -x 2025-08-14T21:25:11.9111318Z set -x 2025-08-14T21:25:11.9111516Z set +e 2025-08-14T21:25:11.9111704Z  2025-08-14T21:25:11.9111876Z login() { 2025-08-14T21:25:11.9112256Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:25:11.9112645Z } 2025-08-14T21:25:11.9112815Z  2025-08-14T21:25:11.9113033Z retry () { 2025-08-14T21:25:11.9113260Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:25:11.9113520Z } 2025-08-14T21:25:11.9113696Z  2025-08-14T21:25:11.9113887Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:25:11.9114136Z  2025-08-14T21:25:11.9114525Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-14T21:25:11.9115042Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-14T21:25:11.9115341Z  2025-08-14T21:25:11.9115512Z set -e 2025-08-14T21:25:11.9115794Z # ignore output since only exit code is used for conditional 2025-08-14T21:25:11.9116203Z # only pull docker image if it's not available locally 2025-08-14T21:25:11.9116623Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-14T21:25:11.9117016Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-14T21:25:11.9117268Z fi 2025-08-14T21:25:11.9122647Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:11.9122949Z env: 2025-08-14T21:25:11.9123137Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:11.9123814Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:11.9124618Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:11.9124934Z ##[endgroup] 2025-08-14T21:25:11.9149373Z + set +e 2025-08-14T21:25:11.9149668Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:11.9149992Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:11.9151177Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:25:11.9151963Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:12.3600180Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:25:12.3600565Z Login Succeeded 2025-08-14T21:25:12.3602575Z Configure a credential helper to remove this warning. See 2025-08-14T21:25:12.3603042Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:25:12.3603330Z 2025-08-14T21:25:12.3622362Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:12.3623062Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-14T21:25:12.5846874Z + IMAGE_SIZE=27663.483686447144 2025-08-14T21:25:12.5847193Z + echo 'Compressed size of image in MB: 27663.483686447144' 2025-08-14T21:25:12.5847466Z + set -e 2025-08-14T21:25:12.5848477Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:12.5849157Z Compressed size of image in MB: 27663.483686447144 2025-08-14T21:25:12.5985983Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:12.5987377Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:12.8229155Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image 2025-08-14T21:25:12.8233948Z 660ffc76f83b: Pulling fs layer 2025-08-14T21:25:12.8236816Z c7b4a852a455: Pulling fs layer 2025-08-14T21:25:12.8237038Z e5a28988c893: Pulling fs layer 2025-08-14T21:25:12.8237276Z 76a69b57b683: Pulling fs layer 2025-08-14T21:25:12.8237484Z 5c785dcb4cdb: Pulling fs layer 2025-08-14T21:25:12.8237682Z 836ab08052e8: Pulling fs layer 2025-08-14T21:25:12.8237963Z 53b11c77468c: Pulling fs layer 2025-08-14T21:25:12.8238153Z e97311a6a967: Pulling fs layer 2025-08-14T21:25:12.8238348Z 2c414689d31d: Pulling fs layer 2025-08-14T21:25:12.8238543Z 6d89b5f065d5: Pulling fs layer 2025-08-14T21:25:12.8238770Z 5a5cc76ada43: Pulling fs layer 2025-08-14T21:25:12.8238977Z fc6b37d40530: Pulling fs layer 2025-08-14T21:25:12.8239236Z 2e1657907860: Pulling fs layer 2025-08-14T21:25:12.8239440Z 7b92d7a4b8c7: Pulling fs layer 2025-08-14T21:25:12.8239637Z 4f4fb700ef54: Pulling fs layer 2025-08-14T21:25:12.8239836Z d6226eb61f82: Pulling fs layer 2025-08-14T21:25:12.8240019Z 83c70f4266a6: Pulling fs layer 2025-08-14T21:25:12.8240214Z 60c725d21861: Pulling fs layer 2025-08-14T21:25:12.8240412Z a504e76e66a4: Pulling fs layer 2025-08-14T21:25:12.8240603Z fc1c200a4f77: Pulling fs layer 2025-08-14T21:25:12.8240801Z 43273c22704f: Pulling fs layer 2025-08-14T21:25:12.8240995Z 89df389d042a: Pulling fs layer 2025-08-14T21:25:12.8241186Z 684349f50d94: Pulling fs layer 2025-08-14T21:25:12.8241386Z 21d0eae87fb3: Pulling fs layer 2025-08-14T21:25:12.8241581Z c9c2b424b8e0: Pulling fs layer 2025-08-14T21:25:12.8241766Z 98dda28f3395: Pulling fs layer 2025-08-14T21:25:12.8242011Z acf5babd87f2: Pulling fs layer 2025-08-14T21:25:12.8242207Z 7c5050d8408d: Pulling fs layer 2025-08-14T21:25:12.8242397Z 7ddd14e2b548: Pulling fs layer 2025-08-14T21:25:12.8242604Z 4ba8e7a736c8: Pulling fs layer 2025-08-14T21:25:12.8242789Z 907c320fee2f: Pulling fs layer 2025-08-14T21:25:12.8242984Z 18c4ed1ec491: Pulling fs layer 2025-08-14T21:25:12.8243173Z d7618c2df6cd: Pulling fs layer 2025-08-14T21:25:12.8243366Z b7bdd9a6f789: Pulling fs layer 2025-08-14T21:25:12.8243564Z 6738ba83282e: Pulling fs layer 2025-08-14T21:25:12.8267391Z dfb0f2488639: Pulling fs layer 2025-08-14T21:25:12.8267761Z dc833b0762f2: Pulling fs layer 2025-08-14T21:25:12.8267983Z 8827df8ca2da: Pulling fs layer 2025-08-14T21:25:12.8268196Z fac8f3bd0f85: Pulling fs layer 2025-08-14T21:25:12.8268393Z d7cf7f140df3: Pulling fs layer 2025-08-14T21:25:12.8268620Z 733eedc8da8d: Pulling fs layer 2025-08-14T21:25:12.8268826Z 5b092eb06909: Pulling fs layer 2025-08-14T21:25:12.8269026Z bc5961031092: Pulling fs layer 2025-08-14T21:25:12.8269219Z 0531cc34c12a: Pulling fs layer 2025-08-14T21:25:12.8269413Z 38c303d3b62e: Pulling fs layer 2025-08-14T21:25:12.8269608Z e06d15594a2a: Pulling fs layer 2025-08-14T21:25:12.8269801Z 0e55deb5cb38: Pulling fs layer 2025-08-14T21:25:12.8269995Z 4a53d66dce07: Pulling fs layer 2025-08-14T21:25:12.8270178Z 1519daa051b8: Pulling fs layer 2025-08-14T21:25:12.8270370Z 381ed91d2119: Pulling fs layer 2025-08-14T21:25:12.8270636Z c6b0a01a96dd: Pulling fs layer 2025-08-14T21:25:12.8270894Z 62df6413daee: Pulling fs layer 2025-08-14T21:25:12.8271174Z 7a18bc2a6881: Pulling fs layer 2025-08-14T21:25:12.8271374Z 93359cd58a8c: Pulling fs layer 2025-08-14T21:25:12.8271586Z c35ba0a1f353: Pulling fs layer 2025-08-14T21:25:12.8271777Z dcf1e01c98d6: Pulling fs layer 2025-08-14T21:25:12.8271974Z bad0564f61fd: Pulling fs layer 2025-08-14T21:25:12.8272431Z 539ded905736: Pulling fs layer 2025-08-14T21:25:12.8272627Z 28d482062637: Pulling fs layer 2025-08-14T21:25:12.8272822Z 3245316ff51b: Pulling fs layer 2025-08-14T21:25:12.8273020Z b53167d1a6df: Pulling fs layer 2025-08-14T21:25:12.8273207Z 7f5277f69167: Pulling fs layer 2025-08-14T21:25:12.8273506Z 836ab08052e8: Waiting 2025-08-14T21:25:12.8273697Z 23dff10cdaa5: Pulling fs layer 2025-08-14T21:25:12.8273914Z 9fb73296da6a: Pulling fs layer 2025-08-14T21:25:12.8274158Z 53b11c77468c: Waiting 2025-08-14T21:25:12.8274346Z a504e76e66a4: Waiting 2025-08-14T21:25:12.8274511Z e97311a6a967: Waiting 2025-08-14T21:25:12.8274687Z fc1c200a4f77: Waiting 2025-08-14T21:25:12.8274866Z 2c414689d31d: Waiting 2025-08-14T21:25:12.8275027Z 43273c22704f: Waiting 2025-08-14T21:25:12.8275197Z 89df389d042a: Waiting 2025-08-14T21:25:12.8275368Z 684349f50d94: Waiting 2025-08-14T21:25:12.8275539Z 21d0eae87fb3: Waiting 2025-08-14T21:25:12.8275706Z c9c2b424b8e0: Waiting 2025-08-14T21:25:12.8275901Z 98dda28f3395: 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836ab08052e8: Download complete 2025-08-14T21:25:13.1849570Z 660ffc76f83b: Verifying Checksum 2025-08-14T21:25:13.1850426Z 660ffc76f83b: Download complete 2025-08-14T21:25:13.2379962Z 53b11c77468c: Verifying Checksum 2025-08-14T21:25:13.2380279Z 53b11c77468c: Download complete 2025-08-14T21:25:13.2610598Z e97311a6a967: Verifying Checksum 2025-08-14T21:25:13.2611171Z e97311a6a967: Download complete 2025-08-14T21:25:13.3528848Z 6d89b5f065d5: Download complete 2025-08-14T21:25:13.4223171Z 5a5cc76ada43: Verifying Checksum 2025-08-14T21:25:13.4223471Z 5a5cc76ada43: Download complete 2025-08-14T21:25:13.5091751Z fc6b37d40530: Verifying Checksum 2025-08-14T21:25:13.5092065Z fc6b37d40530: Download complete 2025-08-14T21:25:13.5767414Z 2e1657907860: Download complete 2025-08-14T21:25:14.3571649Z 660ffc76f83b: Pull complete 2025-08-14T21:25:14.3716701Z c7b4a852a455: Pull complete 2025-08-14T21:25:14.4042602Z 2c414689d31d: Verifying Checksum 2025-08-14T21:25:14.4043558Z 2c414689d31d: Download 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539ded905736: Pull complete 2025-08-14T21:34:27.2964381Z 28d482062637: Pull complete 2025-08-14T21:34:27.7913369Z 3245316ff51b: Pull complete 2025-08-14T21:34:28.2285106Z b53167d1a6df: Pull complete 2025-08-14T21:34:28.6671578Z 7f5277f69167: Pull complete 2025-08-14T21:34:29.4520417Z 23dff10cdaa5: Pull complete 2025-08-14T21:34:32.0011152Z 9fb73296da6a: Pull complete 2025-08-14T21:34:32.6824959Z Digest: sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6 2025-08-14T21:34:32.7687156Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:34:32.7832943Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:34:32.7911204Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:34:32.7911787Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:34:32.7920082Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:32.7920336Z env: 2025-08-14T21:34:32.7920508Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:32.7920697Z ##[endgroup] 2025-08-14T21:34:32.7996975Z Prepare all required actions 2025-08-14T21:34:32.8039026Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-14T21:34:32.8039270Z with: 2025-08-14T21:34:32.8039835Z github-token: *** 2025-08-14T21:34:32.8040016Z env: 2025-08-14T21:34:32.8040190Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:32.8040396Z ##[endgroup] 2025-08-14T21:34:32.8177792Z ##[group]Run set -eux 2025-08-14T21:34:32.8178028Z set -eux 2025-08-14T21:34:32.8178351Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:34:32.8183697Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:32.8183979Z env: 2025-08-14T21:34:32.8184152Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:32.8184544Z GITHUB_TOKEN: *** 2025-08-14T21:34:32.8184717Z ##[endgroup] 2025-08-14T21:34:32.8208971Z + python3 .github/scripts/get_workflow_job_id.py 16976338999 i-0c68087759510ebf3 2025-08-14T21:34:34.3191729Z Setting output job-id=48128261063 2025-08-14T21:34:34.3192522Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:34:34.3304376Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:34:34.3304835Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:34:34.3305582Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-08-14T21:34:34.3306078Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:34:34.3310774Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:34.3311011Z env: 2025-08-14T21:34:34.3311168Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:34.3311345Z JOB_ID: 48128261063 2025-08-14T21:34:34.3311681Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:34:34.3312049Z WORKFLOW_NAME: inductor-periodic 2025-08-14T21:34:34.3312291Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T21:34:34.3312470Z MONITOR_LOG_INTERVAL: 5 2025-08-14T21:34:34.3312657Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-08-14T21:34:34.3312848Z ##[endgroup] 2025-08-14T21:34:34.9049379Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:34:35.2221881Z Collecting psutil==5.9.8 2025-08-14T21:34:35.2369378Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-08-14T21:34:35.3326285Z Collecting dataclasses_json==0.6.7 2025-08-14T21:34:35.3362204Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-08-14T21:34:35.3741822Z Collecting nvidia-ml-py==11.525.84 2025-08-14T21:34:35.3770959Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-08-14T21:34:35.4877158Z Collecting marshmallow<4.0.0,>=3.18.0 2025-08-14T21:34:35.4905661Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-08-14T21:34:35.5337311Z Collecting typing-inspect<1,>=0.4.0 2025-08-14T21:34:35.5369803Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-08-14T21:34:35.7596879Z Collecting packaging>=17.0 2025-08-14T21:34:35.7629927Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-08-14T21:34:35.9447614Z Collecting typing-extensions>=3.7.4 2025-08-14T21:34:35.9485219Z Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB) 2025-08-14T21:34:36.0074479Z Collecting mypy-extensions>=0.3.0 2025-08-14T21:34:36.0115375Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-08-14T21:34:36.1913038Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-08-14T21:34:37.3509544Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.14.1 typing-inspect-0.9.0 2025-08-14T21:34:37.5868954Z Prepare all required actions 2025-08-14T21:34:37.5869273Z Getting action download info 2025-08-14T21:34:37.7258866Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-14T21:34:37.9969790Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-14T21:34:38.2731575Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-14T21:34:38.2731892Z with: 2025-08-14T21:34:38.2732122Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:34:38.2732396Z s3-bucket: gha-artifacts 2025-08-14T21:34:38.2732616Z env: 2025-08-14T21:34:38.2732814Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:38.2733001Z ##[endgroup] 2025-08-14T21:34:38.2753230Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:34:38.2753475Z with: 2025-08-14T21:34:38.2753673Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:34:38.2753900Z s3-bucket: gha-artifacts 2025-08-14T21:34:38.2754145Z region: us-east-1 2025-08-14T21:34:38.2754302Z env: 2025-08-14T21:34:38.2754461Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:38.2754641Z ##[endgroup] 2025-08-14T21:34:38.6653727Z (node:47963) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:34:38.6654505Z 2025-08-14T21:34:38.6654647Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:34:38.6655034Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:34:38.6655413Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:34:38.9365583Z Found 1 objects with prefix pytorch/pytorch/16976338999/linux-jammy-py3.9-gcc11-build/ 2025-08-14T21:34:38.9366113Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:34:43.5639439Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:34:43.5646880Z Artifact download has finished successfully 2025-08-14T21:34:43.5841891Z ##[group]Run unzip -o artifacts.zip 2025-08-14T21:34:43.5842158Z unzip -o artifacts.zip 2025-08-14T21:34:43.5847352Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:43.5847611Z env: 2025-08-14T21:34:43.5847778Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:43.5847997Z 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##[group]Run rm artifacts.zip 2025-08-14T21:34:50.7820301Z rm artifacts.zip 2025-08-14T21:34:50.7826157Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:50.7826429Z env: 2025-08-14T21:34:50.7826602Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:50.7826789Z ##[endgroup] 2025-08-14T21:34:50.8164173Z ##[group]Run df -H 2025-08-14T21:34:50.8164372Z df -H 2025-08-14T21:34:50.8169182Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:50.8169439Z env: 2025-08-14T21:34:50.8169631Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:50.8169820Z ##[endgroup] 2025-08-14T21:34:50.8214807Z Filesystem Size Used Avail Use% Mounted on 2025-08-14T21:34:50.8215624Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-08-14T21:34:50.8215937Z tmpfs 67G 0 67G 0% /dev/shm 2025-08-14T21:34:50.8216193Z tmpfs 27G 791k 27G 1% /run 2025-08-14T21:34:50.8216541Z /dev/nvme0n1p1 215G 69G 146G 32% / 2025-08-14T21:34:50.8216778Z tmpfs 67G 13k 67G 1% /tmp 2025-08-14T21:34:50.8217027Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-08-14T21:34:50.8242924Z Prepare all required actions 2025-08-14T21:34:50.8243796Z Getting action download info 2025-08-14T21:34:50.9586003Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-14T21:34:50.9586295Z with: 2025-08-14T21:34:50.9586470Z env: 2025-08-14T21:34:50.9586647Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:50.9586860Z ##[endgroup] 2025-08-14T21:34:50.9737366Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:34:50.9737608Z with: 2025-08-14T21:34:50.9737807Z name: td_results 2025-08-14T21:34:50.9738000Z s3-bucket: gha-artifacts 2025-08-14T21:34:50.9738183Z region: us-east-1 2025-08-14T21:34:50.9738352Z env: 2025-08-14T21:34:50.9738513Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:50.9738688Z ##[endgroup] 2025-08-14T21:34:51.3371093Z (node:47984) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:34:51.3371475Z 2025-08-14T21:34:51.3371730Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:34:51.3372128Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:34:51.3372511Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:34:51.4199391Z Found 0 objects with prefix pytorch/pytorch/16976338999/td_results/ 2025-08-14T21:34:51.4200618Z Artifact download has finished successfully 2025-08-14T21:34:51.4372734Z ##[group]Run mkdir -p .additional_ci_files 2025-08-14T21:34:51.4373020Z mkdir -p .additional_ci_files 2025-08-14T21:34:51.4373314Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-14T21:34:51.4378773Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:51.4379027Z env: 2025-08-14T21:34:51.4379360Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:51.4379544Z ##[endgroup] 2025-08-14T21:34:51.4428663Z mv: cannot stat 'td_results.json': No such file or directory 2025-08-14T21:34:51.4495071Z ##[group]Run .github/scripts/parse_ref.py 2025-08-14T21:34:51.4495357Z .github/scripts/parse_ref.py 2025-08-14T21:34:51.4500180Z shell: /usr/bin/bash -e {0} 2025-08-14T21:34:51.4500369Z env: 2025-08-14T21:34:51.4500532Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:51.4500720Z ##[endgroup] 2025-08-14T21:34:51.5149801Z Setting output branch=main 2025-08-14T21:34:51.5242596Z Prepare all required actions 2025-08-14T21:34:51.5242944Z Getting action download info 2025-08-14T21:34:51.6349588Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-14T21:34:51.6349894Z with: 2025-08-14T21:34:51.6350311Z github-token: *** 2025-08-14T21:34:51.6355059Z test-matrix: {"include": [{"config": "cpu_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}]} 2025-08-14T21:34:51.6360078Z job-name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:34:51.6360501Z env: 2025-08-14T21:34:51.6360684Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:51.6360889Z ##[endgroup] 2025-08-14T21:34:51.6412760Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:34:51.6413024Z with: 2025-08-14T21:34:51.6413231Z shell: bash 2025-08-14T21:34:51.6413434Z timeout_minutes: 10 2025-08-14T21:34:51.6413635Z max_attempts: 5 2025-08-14T21:34:51.6413843Z retry_wait_seconds: 30 2025-08-14T21:34:51.6414455Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:34:51.6415034Z polling_interval_seconds: 1 2025-08-14T21:34:51.6415362Z warning_on_retry: true 2025-08-14T21:34:51.6415552Z continue_on_error: false 2025-08-14T21:34:51.6415740Z env: 2025-08-14T21:34:51.6415894Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:51.6416262Z GITHUB_TOKEN: *** 2025-08-14T21:34:51.6416434Z ##[endgroup] 2025-08-14T21:34:51.8088624Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:34:51.9961186Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:34:52.1038628Z Collecting requests==2.27.1 2025-08-14T21:34:52.1196912Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-14T21:34:52.3057645Z Collecting pyyaml==6.0.2 2025-08-14T21:34:52.3091859Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-08-14T21:34:52.3768360Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-08-14T21:34:52.3769012Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-08-14T21:34:52.4580210Z Collecting certifi>=2017.4.17 2025-08-14T21:34:52.4612502Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-14T21:34:52.8100619Z Collecting charset-normalizer~=2.0.0 2025-08-14T21:34:52.8135586Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-14T21:34:52.9276693Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-08-14T21:34:53.2955170Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-08-14T21:34:53.7081092Z Command completed after 1 attempt(s). 2025-08-14T21:34:53.7130642Z ##[group]Run set -x 2025-08-14T21:34:53.7130870Z set -x 2025-08-14T21:34:53.7131036Z  2025-08-14T21:34:53.7131314Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:34:53.7131645Z # in runner workspace 2025-08-14T21:34:53.7131923Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-14T21:34:53.7137197Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:53.7137442Z env: 2025-08-14T21:34:53.7137607Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:53.7137779Z ##[endgroup] 2025-08-14T21:34:53.7161847Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-14T21:34:53.7304581Z Setting output branch=main 2025-08-14T21:34:53.7354240Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:34:53.7354548Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:34:53.7354778Z echo "Job name: ${JOB_NAME}" 2025-08-14T21:34:53.7354969Z  2025-08-14T21:34:53.7355217Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:34:53.7355516Z # in runner workspace 2025-08-14T21:34:53.7355797Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-14T21:34:53.7356109Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-14T21:34:53.7356328Z  --job-name "${JOB_NAME}" \ 2025-08-14T21:34:53.7360573Z  --test-matrix "{"include": [{"config": "cpu_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}]}" \ 2025-08-14T21:34:53.7365141Z  --selected-test-configs "" \ 2025-08-14T21:34:53.7365418Z  --pr-number "${PR_NUMBER}" \ 2025-08-14T21:34:53.7365663Z  --tag "${TAG}" \ 2025-08-14T21:34:53.7365909Z  --event-name "${EVENT_NAME}" \ 2025-08-14T21:34:53.7366169Z  --schedule "${SCHEDULE}" \ 2025-08-14T21:34:53.7366416Z  --branch "${HEAD_BRANCH}" 2025-08-14T21:34:53.7371879Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:53.7372194Z env: 2025-08-14T21:34:53.7372397Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:53.7372927Z GITHUB_TOKEN: *** 2025-08-14T21:34:53.7373315Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:34:53.7373734Z PR_NUMBER: 2025-08-14T21:34:53.7373923Z TAG: 2025-08-14T21:34:53.7374093Z EVENT_NAME: schedule 2025-08-14T21:34:53.7374307Z SCHEDULE: 45 0,4,8,12,16,20 * * 1-5 2025-08-14T21:34:53.7374545Z HEAD_BRANCH: main 2025-08-14T21:34:53.7374739Z ##[endgroup] 2025-08-14T21:34:53.7396244Z Workflow: inductor-periodic 2025-08-14T21:34:53.7396716Z Job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:34:53.9011880Z Setting output keep-going=True 2025-08-14T21:34:53.9016671Z Setting output ci-verbose-test-logs=False 2025-08-14T21:34:53.9020561Z Setting output ci-test-showlocals=False 2025-08-14T21:34:53.9020862Z Setting output ci-no-test-timeout=False 2025-08-14T21:34:53.9021125Z Setting output ci-no-td=False 2025-08-14T21:34:53.9021349Z Setting output ci-td-distributed=False 2025-08-14T21:34:53.9021581Z Setting output is-unstable=False 2025-08-14T21:34:53.9021789Z Setting output reenabled-issues= 2025-08-14T21:34:53.9026505Z Setting output test-matrix={"include": [{"config": "cpu_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}]} 2025-08-14T21:34:53.9031180Z Setting output is-test-matrix-empty=False 2025-08-14T21:34:53.9138572Z ##[group]Run echo "Filtered matrix:" 2025-08-14T21:34:53.9138849Z echo "Filtered matrix:" 2025-08-14T21:34:53.9145574Z echo "{"include": [{"config": "cpu_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_aot_inductor_amp_freezing_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}]}" 2025-08-14T21:34:53.9150866Z  2025-08-14T21:34:53.9151053Z echo 2025-08-14T21:34:53.9151295Z echo "Is the current job unstable? False" 2025-08-14T21:34:53.9151562Z  2025-08-14T21:34:53.9151737Z echo 2025-08-14T21:34:53.9151949Z echo "Is keep-going label set? True" 2025-08-14T21:34:53.9152328Z  2025-08-14T21:34:53.9152517Z echo 2025-08-14T21:34:53.9152702Z echo "Reenabled issues? " 2025-08-14T21:34:53.9158429Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:53.9158733Z env: 2025-08-14T21:34:53.9158922Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:53.9159144Z ##[endgroup] 2025-08-14T21:34:53.9183140Z Filtered matrix: 2025-08-14T21:34:53.9188602Z {include: [{config: cpu_inductor_freezing_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: cpu_inductor_freezing_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_freezing_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_amp_freezing_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: cpu_inductor_amp_freezing_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_amp_freezing_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_amp_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_amp_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_freezing_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_freezing_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_freezing_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_amp_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_aot_inductor_amp_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_aot_inductor_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_aot_inductor_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_aot_inductor_amp_freezing_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_aot_inductor_amp_freezing_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}]} 2025-08-14T21:34:53.9193133Z 2025-08-14T21:34:53.9193259Z Is the current job unstable? False 2025-08-14T21:34:53.9193424Z 2025-08-14T21:34:53.9193523Z Is keep-going label set? True 2025-08-14T21:34:53.9193686Z 2025-08-14T21:34:53.9193770Z Reenabled issues? 2025-08-14T21:34:53.9228818Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:34:53.9229246Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:34:53.9234577Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:53.9234841Z env: 2025-08-14T21:34:53.9235022Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:53.9235218Z JOB_TIMEOUT: 240 2025-08-14T21:34:53.9235402Z ##[endgroup] 2025-08-14T21:34:53.9276560Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:34:53.9276918Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:34:53.9277214Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:34:53.9281507Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:34:53.9281760Z env: 2025-08-14T21:34:53.9281928Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:53.9282101Z ##[endgroup] 2025-08-14T21:34:53.9396717Z ##[group]Run set -x 2025-08-14T21:34:53.9396981Z set -x 2025-08-14T21:34:53.9397141Z  2025-08-14T21:34:53.9397334Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-14T21:34:53.9397617Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-14T21:34:53.9397885Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-14T21:34:53.9398142Z  TEST_COMMAND=.ci/onnx/test.sh 2025-08-14T21:34:53.9398358Z else 2025-08-14T21:34:53.9398553Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:34:53.9398761Z fi 2025-08-14T21:34:53.9398916Z  2025-08-14T21:34:53.9399108Z # Leaving 1GB for the runner and other things 2025-08-14T21:34:53.9399486Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-08-14T21:34:53.9400080Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-08-14T21:34:53.9400537Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-08-14T21:34:53.9400881Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-08-14T21:34:53.9401162Z  2025-08-14T21:34:53.9401359Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:34:53.9401591Z  SHM_OPTS= 2025-08-14T21:34:53.9401775Z  JENKINS_USER= 2025-08-14T21:34:53.9402025Z  # ensure that docker container cleanly exits in 12 hours 2025-08-14T21:34:53.9402335Z  # if for some reason cleanup action doesn't stop container 2025-08-14T21:34:53.9402607Z  # when job is cancelled 2025-08-14T21:34:53.9402831Z  DOCKER_SHELL_CMD="sleep 12h" 2025-08-14T21:34:53.9403046Z else 2025-08-14T21:34:53.9403231Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-08-14T21:34:53.9403470Z  JENKINS_USER="--user jenkins" 2025-08-14T21:34:53.9403697Z  DOCKER_SHELL_CMD= 2025-08-14T21:34:53.9403883Z fi 2025-08-14T21:34:53.9404039Z  2025-08-14T21:34:53.9404278Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-14T21:34:53.9404619Z # TODO: Stop building test binaries as part of the build phase 2025-08-14T21:34:53.9405010Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-08-14T21:34:53.9405358Z # shellcheck disable=SC2086,SC2090 2025-08-14T21:34:53.9405594Z container_name=$(docker run \ 2025-08-14T21:34:53.9405812Z  ${GPU_FLAG:-} \ 2025-08-14T21:34:53.9406037Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-08-14T21:34:53.9406284Z  -e BUILD_ENVIRONMENT \ 2025-08-14T21:34:53.9406497Z  -e PR_NUMBER \ 2025-08-14T21:34:53.9406702Z  -e GITHUB_ACTIONS \ 2025-08-14T21:34:53.9406911Z  -e GITHUB_REPOSITORY \ 2025-08-14T21:34:53.9407127Z  -e GITHUB_WORKFLOW \ 2025-08-14T21:34:53.9407326Z  -e GITHUB_JOB \ 2025-08-14T21:34:53.9407521Z  -e GITHUB_RUN_ID \ 2025-08-14T21:34:53.9407725Z  -e GITHUB_RUN_NUMBER \ 2025-08-14T21:34:53.9407932Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-14T21:34:53.9408146Z  -e JOB_ID \ 2025-08-14T21:34:53.9408339Z  -e JOB_NAME \ 2025-08-14T21:34:53.9408524Z  -e BASE_SHA \ 2025-08-14T21:34:53.9408715Z  -e BRANCH \ 2025-08-14T21:34:53.9408901Z  -e SHA1 \ 2025-08-14T21:34:53.9409085Z  -e AWS_DEFAULT_REGION \ 2025-08-14T21:34:53.9409300Z  -e IN_WHEEL_TEST \ 2025-08-14T21:34:53.9409505Z  -e SHARD_NUMBER \ 2025-08-14T21:34:53.9409710Z  -e TEST_CONFIG \ 2025-08-14T21:34:53.9410006Z  -e NUM_TEST_SHARDS \ 2025-08-14T21:34:53.9410216Z  -e REENABLED_ISSUES \ 2025-08-14T21:34:53.9410436Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-14T21:34:53.9411062Z  -e VERBOSE_TEST_LOGS \ 2025-08-14T21:34:53.9411291Z  -e TEST_SHOWLOCALS \ 2025-08-14T21:34:53.9411498Z  -e NO_TEST_TIMEOUT \ 2025-08-14T21:34:53.9411685Z  -e NO_TD \ 2025-08-14T21:34:53.9411876Z  -e TD_DISTRIBUTED \ 2025-08-14T21:34:53.9412081Z  -e PR_LABELS \ 2025-08-14T21:34:53.9412304Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-14T21:34:53.9412531Z  -e SCCACHE_BUCKET \ 2025-08-14T21:34:53.9412734Z  -e SCCACHE_REGION \ 2025-08-14T21:34:53.9412934Z  -e XLA_CUDA \ 2025-08-14T21:34:53.9413138Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-08-14T21:34:53.9413388Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-14T21:34:53.9413641Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-14T21:34:53.9413891Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-08-14T21:34:53.9414130Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-08-14T21:34:53.9414365Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-08-14T21:34:53.9414589Z  -e DASHBOARD_TAG \ 2025-08-14T21:34:53.9414792Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-08-14T21:34:53.9415051Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-08-14T21:34:53.9415337Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-08-14T21:34:53.9415613Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-08-14T21:34:53.9415886Z  --security-opt seccomp=unconfined \ 2025-08-14T21:34:53.9416123Z  --cap-add=SYS_PTRACE \ 2025-08-14T21:34:53.9416333Z  --ipc=host \ 2025-08-14T21:34:53.9416517Z  ${SHM_OPTS} \ 2025-08-14T21:34:53.9416709Z  --tty \ 2025-08-14T21:34:53.9416886Z  --detach \ 2025-08-14T21:34:53.9417101Z  --name="${container_name}" \ 2025-08-14T21:34:53.9417326Z  ${JENKINS_USER} \ 2025-08-14T21:34:53.9417573Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-14T21:34:53.9417843Z  -w /var/lib/jenkins/workspace \ 2025-08-14T21:34:53.9418066Z  "${DOCKER_IMAGE}" \ 2025-08-14T21:34:53.9418591Z  ${DOCKER_SHELL_CMD} 2025-08-14T21:34:53.9418779Z ) 2025-08-14T21:34:53.9419000Z # Propagate download.pytorch.org IP to container 2025-08-14T21:34:53.9419449Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-08-14T21:34:53.9419910Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-08-14T21:34:53.9420179Z  2025-08-14T21:34:53.9420378Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:34:53.9420765Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-08-14T21:34:53.9421109Z fi 2025-08-14T21:34:53.9421272Z  2025-08-14T21:34:53.9421604Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-08-14T21:34:53.9426098Z shell: /usr/bin/bash -e {0} 2025-08-14T21:34:53.9426283Z env: 2025-08-14T21:34:53.9426448Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:34:53.9426680Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-08-14T21:34:53.9426909Z PR_NUMBER: 2025-08-14T21:34:53.9427084Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-14T21:34:53.9427312Z GITHUB_WORKFLOW: inductor-periodic 2025-08-14T21:34:53.9427513Z GITHUB_JOB: test 2025-08-14T21:34:53.9427685Z GITHUB_RUN_ID: 16976338999 2025-08-14T21:34:53.9427874Z GITHUB_RUN_NUMBER: 66307 2025-08-14T21:34:53.9428052Z GITHUB_RUN_ATTEMPT: 1 2025-08-14T21:34:53.9428231Z JOB_ID: 48128261063 2025-08-14T21:34:53.9428582Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:34:53.9429019Z BRANCH: main 2025-08-14T21:34:53.9429202Z SHA1: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:34:53.9429547Z BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:34:53.9429796Z TEST_CONFIG: cpu_inductor_freezing_timm 2025-08-14T21:34:53.9430008Z SHARD_NUMBER: 2 2025-08-14T21:34:53.9430183Z NUM_TEST_SHARDS: 2 2025-08-14T21:34:53.9430362Z REENABLED_ISSUES: 2025-08-14T21:34:53.9430539Z CONTINUE_THROUGH_ERROR: True 2025-08-14T21:34:53.9430742Z VERBOSE_TEST_LOGS: False 2025-08-14T21:34:53.9430939Z TEST_SHOWLOCALS: False 2025-08-14T21:34:53.9431133Z NO_TEST_TIMEOUT: False 2025-08-14T21:34:53.9431315Z NO_TD: False 2025-08-14T21:34:53.9431492Z TD_DISTRIBUTED: False 2025-08-14T21:34:53.9431725Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-08-14T21:34:53.9431978Z SCCACHE_REGION: us-east-1 2025-08-14T21:34:53.9432178Z SHM_SIZE: 1g 2025-08-14T21:34:53.9432730Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:34:53.9433278Z XLA_CUDA: 2025-08-14T21:34:53.9433535Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:34:53.9433841Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-14T21:34:53.9434069Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-14T21:34:53.9434272Z DASHBOARD_TAG: 2025-08-14T21:34:53.9434611Z HUGGING_FACE_HUB_TOKEN: *** 2025-08-14T21:34:53.9434923Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-08-14T21:34:53.9435255Z ARTIFACTS_FILE_SUFFIX: test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063 2025-08-14T21:34:53.9435575Z ##[endgroup] 2025-08-14T21:34:53.9460494Z + [[ cpu_inductor_freezing_timm == \m\u\l\t\i\g\p\u ]] 2025-08-14T21:34:53.9460824Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-08-14T21:34:53.9461080Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:34:53.9461378Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-08-14T21:34:53.9481386Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 ' 2025-08-14T21:34:53.9481676Z + TOTAL_MEMORY_WITH_SWAP=125 2025-08-14T21:34:53.9481953Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:34:53.9482232Z + SHM_OPTS=--shm-size=1g 2025-08-14T21:34:53.9482465Z + JENKINS_USER='--user jenkins' 2025-08-14T21:34:53.9482712Z + DOCKER_SHELL_CMD= 2025-08-14T21:34:53.9489318Z +++ nproc --ignore=2 2025-08-14T21:34:53.9610750Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=30 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=122g --memory-swap=125g --env-file=/tmp/github_env_16976338999 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:05.6751991Z + container_name=d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:35:05.6756069Z + grep download.pytorch.org /etc/hosts 2025-08-14T21:35:05.6758342Z + docker exec -i d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a sudo bash -c '/bin/cat >> /etc/hosts' 2025-08-14T21:35:05.8117904Z + echo DOCKER_CONTAINER_ID=d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:35:05.8118800Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:35:05.8122916Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:05.8123749Z + docker exec -t d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-08-14T21:35:06.1748740Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c) 2025-08-14T21:35:06.4008171Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.18.0) 2025-08-14T21:35:06.4010074Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (4.14.1) 2025-08-14T21:35:06.4011190Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.13.3) 2025-08-14T21:35:06.4020298Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2.8.8) 2025-08-14T21:35:06.4024985Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.1.6) 2025-08-14T21:35:06.4029956Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2025.3.0) 2025-08-14T21:35:06.4038428Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.3.0) 2025-08-14T21:35:06.4336841Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.22.4) 2025-08-14T21:35:06.4351148Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.3.0) 2025-08-14T21:35:06.4399519Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.0.2) 2025-08-14T21:35:07.2370463Z Installing collected packages: torch 2025-08-14T21:35:14.6280682Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-08-14T21:35:14.6281291Z dall-e 0.1 requires torchvision, which is not installed. 2025-08-14T21:35:14.6281625Z effdet 0.4.1 requires torchvision, which is not installed. 2025-08-14T21:35:14.6282025Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-08-14T21:35:14.6282583Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-08-14T21:35:14.6283155Z timm 1.0.14 requires torchvision, which is not installed. 2025-08-14T21:35:14.6283559Z Successfully installed torch-2.9.0a0+git1fc683c 2025-08-14T21:35:14.7268292Z + export TERM=vt100 2025-08-14T21:35:14.7268607Z + TERM=vt100 2025-08-14T21:35:14.7269040Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:35:14.7281992Z + source .ci/pytorch/common.sh 2025-08-14T21:35:14.7282269Z +++ dirname .ci/pytorch/common.sh 2025-08-14T21:35:14.7285512Z ++ source .ci/pytorch/common_utils.sh 2025-08-14T21:35:14.7285773Z +++ declare -f -t trap_add 2025-08-14T21:35:14.7288210Z ++ set -ex -o pipefail 2025-08-14T21:35:14.7288444Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:35:14.7289202Z ++ BUILD_TEST_LIBTORCH=0 2025-08-14T21:35:14.7291561Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:35:14.7304728Z + source .ci/pytorch/common-build.sh 2025-08-14T21:35:14.7305437Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-08-14T21:35:14.7310219Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-14T21:35:14.7316256Z +++ cd .ci/pytorch 2025-08-14T21:35:14.7316519Z +++ pwd -P 2025-08-14T21:35:14.7316739Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-08-14T21:35:14.7317071Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-08-14T21:35:14.7317310Z ++ which sccache 2025-08-14T21:35:14.7342017Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-08-14T21:35:14.7348806Z ++ sccache --stop-server 2025-08-14T21:35:14.7363924Z ++ true 2025-08-14T21:35:14.7364658Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-14T21:35:14.7370414Z ++ trap_add sccache_epilogue EXIT 2025-08-14T21:35:14.7370901Z ++ trap_add_cmd=sccache_epilogue 2025-08-14T21:35:14.7371405Z ++ shift 2025-08-14T21:35:14.7371652Z ++ for trap_add_name in "$@" 2025-08-14T21:35:14.7380368Z ++++ trap -p EXIT 2025-08-14T21:35:14.7384135Z +++ eval 'extract_trap_cmd ' 2025-08-14T21:35:14.7384397Z ++++ extract_trap_cmd 2025-08-14T21:35:14.7384615Z ++++ printf '%s\n' '' 2025-08-14T21:35:14.7384816Z +++ printf '%s\n' sccache_epilogue 2025-08-14T21:35:14.7385069Z ++ trap -- ' 2025-08-14T21:35:14.7385292Z sccache_epilogue' EXIT 2025-08-14T21:35:14.7385490Z ++ [[ -n 1 ]] 2025-08-14T21:35:14.7385838Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-08-14T21:35:14.7386274Z Skipping sccache server initialization, setting environment variables 2025-08-14T21:35:14.7386608Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:14.7386840Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:14.7389557Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:14.7389900Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:14.7390212Z ++ export RUST_LOG=sccache::server=error 2025-08-14T21:35:14.7390472Z ++ RUST_LOG=sccache::server=error 2025-08-14T21:35:14.7390691Z ++ sccache --zero-stats 2025-08-14T21:35:14.8633582Z Statistics zeroed. 2025-08-14T21:35:14.8635765Z ++ which ccache 2025-08-14T21:35:14.8665007Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-08-14T21:35:14.8665337Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-08-14T21:35:14.8666009Z + [[ -d /var/lib/jenkins/workspace ]] 2025-08-14T21:35:14.8666285Z ++ stat -c %u /var/lib/jenkins/workspace 2025-08-14T21:35:14.8679395Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-08-14T21:35:14.8679697Z + trap_add cleanup_workspace EXIT 2025-08-14T21:35:14.8679972Z + trap_add_cmd=cleanup_workspace 2025-08-14T21:35:14.8680183Z + shift 2025-08-14T21:35:14.8680360Z + for trap_add_name in "$@" 2025-08-14T21:35:14.8684900Z +++ trap -p EXIT 2025-08-14T21:35:14.8686517Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-08-14T21:35:14.8686764Z sccache_epilogue'\'' EXIT' 2025-08-14T21:35:14.8686969Z +++ extract_trap_cmd trap -- ' 2025-08-14T21:35:14.8687184Z sccache_epilogue' EXIT 2025-08-14T21:35:14.8687363Z +++ printf '%s\n' ' 2025-08-14T21:35:14.8687537Z sccache_epilogue' 2025-08-14T21:35:14.8687729Z ++ printf '%s\n' cleanup_workspace 2025-08-14T21:35:14.8690688Z + trap -- ' 2025-08-14T21:35:14.8690926Z sccache_epilogue 2025-08-14T21:35:14.8691135Z cleanup_workspace' EXIT 2025-08-14T21:35:14.8691420Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-08-14T21:35:15.3046806Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-08-14T21:35:15.3064891Z + echo 'Environment variables:' 2025-08-14T21:35:15.3065275Z Environment variables: 2025-08-14T21:35:15.3065478Z + env 2025-08-14T21:35:15.3073736Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:35:15.3077878Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:35:15.3078559Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:15.3078817Z HOSTNAME=d29175f71304 2025-08-14T21:35:15.3079223Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_2d636abe-a5ba-4b86-8b03-68cd8e3e57e2 2025-08-14T21:35:15.3079993Z GITHUB_ACTION=__run_2 2025-08-14T21:35:15.3080184Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:35:15.3080520Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:35:15.3080725Z TEST_CONFIG=cpu_inductor_freezing_timm 2025-08-14T21:35:15.3080943Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:35:15.3081181Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:35:15.3081402Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:15.3081817Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:35:15.3082030Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:35:15.3082246Z GITHUB_REF_TYPE=branch 2025-08-14T21:35:15.3082488Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:35:15.3082713Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:15.3082930Z XLA_CUDA= 2025-08-14T21:35:15.3083100Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:35:15.3083415Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:35:15.3087087Z *** 2025-08-14T21:35:15.3087261Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:35:15.3087461Z GITHUB_ACTIONS=true 2025-08-14T21:35:15.3087673Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:15.3087934Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:15.3088182Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:15.3088553Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:35:15.3088881Z UCC_HOME=/usr 2025-08-14T21:35:15.3089051Z VERBOSE_TEST_LOGS=False 2025-08-14T21:35:15.3089239Z GITHUB_REF=refs/heads/main 2025-08-14T21:35:15.3089416Z SHARD_NUMBER=2 2025-08-14T21:35:15.3089588Z GITHUB_REF_PROTECTED=true 2025-08-14T21:35:15.3089773Z HOME=/var/lib/jenkins 2025-08-14T21:35:15.3089972Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:35:15.3090201Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:35:15.3090402Z UCX_COMMIT= 2025-08-14T21:35:15.3090550Z USE_SYSTEM_NCCL=1 2025-08-14T21:35:15.3090990Z NUM_TEST_SHARDS=2 2025-08-14T21:35:15.3091162Z UCX_HOME=/usr 2025-08-14T21:35:15.3091561Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_2d636abe-a5ba-4b86-8b03-68cd8e3e57e2 2025-08-14T21:35:15.3092150Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:35:15.3092719Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_2d636abe-a5ba-4b86-8b03-68cd8e3e57e2 2025-08-14T21:35:15.3093228Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:35:15.3093540Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:35:15.3093724Z DASHBOARD_TAG= 2025-08-14T21:35:15.3093886Z GITHUB_RUN_ID=16976338999 2025-08-14T21:35:15.3094063Z INSTALLED_OPENBLAS= 2025-08-14T21:35:15.3094424Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_2d636abe-a5ba-4b86-8b03-68cd8e3e57e2 2025-08-14T21:35:15.3094850Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:35:15.3095046Z PR_NUMBER= 2025-08-14T21:35:15.3095191Z DESIRED_CUDA= 2025-08-14T21:35:15.3095354Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:35:15.3095539Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:35:15.3095769Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:35:15.3096006Z TERM=vt100 2025-08-14T21:35:15.3096167Z INSTALLED_VISION=yes 2025-08-14T21:35:15.3096331Z BRANCH=main 2025-08-14T21:35:15.3096494Z SCCACHE_REGION=us-east-1 2025-08-14T21:35:15.3096689Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:35:15.3096878Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:35:15.3097215Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:35:15.3097601Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:35:15.3097807Z UCC_COMMIT= 2025-08-14T21:35:15.3097950Z REENABLED_ISSUES= 2025-08-14T21:35:15.3098107Z DOCS=yes 2025-08-14T21:35:15.3098251Z SHLVL=1 2025-08-14T21:35:15.3098388Z MAX_JOBS=30 2025-08-14T21:35:15.3098544Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:35:15.3098874Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:15.3099117Z GITHUB_REF_NAME=main 2025-08-14T21:35:15.3099450Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:35:15.3099739Z GITHUB_JOB=test 2025-08-14T21:35:15.3099900Z NO_TEST_TIMEOUT=False 2025-08-14T21:35:15.3100076Z TD_DISTRIBUTED=False 2025-08-14T21:35:15.3100267Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:35:15.3100471Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:35:15.3100658Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:35:15.3100846Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:35:15.3101334Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:35:15.3101824Z GITHUB_BASE_REF= 2025-08-14T21:35:15.3101992Z INSTALLED_ACL= 2025-08-14T21:35:15.3102285Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063 2025-08-14T21:35:15.3102598Z CI=true 2025-08-14T21:35:15.3102761Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:35:15.3103019Z RUST_LOG=sccache::server=error 2025-08-14T21:35:15.3103205Z JOB_ID=48128261063 2025-08-14T21:35:15.3103372Z GITHUB_HEAD_REF= 2025-08-14T21:35:15.3103540Z GITHUB_ACTION_REF= 2025-08-14T21:35:15.3103743Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:35:15.3103984Z TEST_SHOWLOCALS=False 2025-08-14T21:35:15.3104176Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:35:15.3104382Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:35:15.3104783Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_2d636abe-a5ba-4b86-8b03-68cd8e3e57e2 2025-08-14T21:35:15.3105180Z NO_TD=False 2025-08-14T21:35:15.3105348Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:35:15.3105552Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:35:15.3105766Z _=/usr/bin/env 2025-08-14T21:35:15.3105994Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-14T21:35:15.3365650Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-08-14T21:35:15.3366169Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-08-14T21:35:15.3366576Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-08-14T21:35:15.3366965Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-08-14T21:35:15.3367252Z + BUILD_DIR=build 2025-08-14T21:35:15.3367448Z + BUILD_RENAMED_DIR=build_renamed 2025-08-14T21:35:15.3367669Z + BUILD_BIN_DIR=build/bin 2025-08-14T21:35:15.3367853Z + SHARD_NUMBER=2 2025-08-14T21:35:15.3368026Z + NUM_TEST_SHARDS=2 2025-08-14T21:35:15.3368223Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:15.3368472Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:15.3368678Z + export VALGRIND=ON 2025-08-14T21:35:15.3368862Z + VALGRIND=ON 2025-08-14T21:35:15.3369066Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-08-14T21:35:15.3369342Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:35:15.3369616Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-08-14T21:35:15.3369864Z + [[ 0 == \1 ]] 2025-08-14T21:35:15.3370026Z + [[ True == \1 ]] 2025-08-14T21:35:15.3370232Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-08-14T21:35:15.3370493Z ++ realpath build/custom_test_artifacts 2025-08-14T21:35:15.3380664Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-08-14T21:35:15.3381058Z + [[ -n '' ]] 2025-08-14T21:35:15.3381249Z + echo 'Environment variables' 2025-08-14T21:35:15.3381481Z Environment variables 2025-08-14T21:35:15.3381660Z + env 2025-08-14T21:35:15.3402050Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:35:15.3405660Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:35:15.3405917Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:15.3406174Z HOSTNAME=d29175f71304 2025-08-14T21:35:15.3406581Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_2d636abe-a5ba-4b86-8b03-68cd8e3e57e2 2025-08-14T21:35:15.3407340Z GITHUB_ACTION=__run_2 2025-08-14T21:35:15.3407533Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:35:15.3407869Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:35:15.3408077Z TEST_CONFIG=cpu_inductor_freezing_timm 2025-08-14T21:35:15.3408306Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:35:15.3408555Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:35:15.3408789Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:15.3409197Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:35:15.3409444Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:35:15.3409673Z GITHUB_REF_TYPE=branch 2025-08-14T21:35:15.3409864Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:35:15.3410086Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:15.3410313Z XLA_CUDA= 2025-08-14T21:35:15.3410486Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:35:15.3411153Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:35:15.3411406Z *** 2025-08-14T21:35:15.3411567Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:35:15.3411773Z GITHUB_ACTIONS=true 2025-08-14T21:35:15.3411986Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:15.3412253Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:15.3412506Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:15.3412877Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:35:15.3413231Z UCC_HOME=/usr 2025-08-14T21:35:15.3413406Z TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:15.3413594Z VERBOSE_TEST_LOGS=False 2025-08-14T21:35:15.3413781Z GITHUB_REF=refs/heads/main 2025-08-14T21:35:15.3413969Z SHARD_NUMBER=2 2025-08-14T21:35:15.3414131Z GITHUB_REF_PROTECTED=true 2025-08-14T21:35:15.3414317Z HOME=/var/lib/jenkins 2025-08-14T21:35:15.3414562Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:35:15.3414795Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:35:15.3414996Z UCX_COMMIT= 2025-08-14T21:35:15.3415146Z USE_SYSTEM_NCCL=1 2025-08-14T21:35:15.3415314Z NUM_TEST_SHARDS=2 2025-08-14T21:35:15.3415478Z UCX_HOME=/usr 2025-08-14T21:35:15.3415846Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_2d636abe-a5ba-4b86-8b03-68cd8e3e57e2 2025-08-14T21:35:15.3416429Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:35:15.3416995Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_2d636abe-a5ba-4b86-8b03-68cd8e3e57e2 2025-08-14T21:35:15.3417505Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:35:15.3417822Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:35:15.3418005Z DASHBOARD_TAG= 2025-08-14T21:35:15.3418169Z GITHUB_RUN_ID=16976338999 2025-08-14T21:35:15.3418504Z INSTALLED_OPENBLAS= 2025-08-14T21:35:15.3418898Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_2d636abe-a5ba-4b86-8b03-68cd8e3e57e2 2025-08-14T21:35:15.3419332Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:35:15.3419519Z PR_NUMBER= 2025-08-14T21:35:15.3419675Z DESIRED_CUDA= 2025-08-14T21:35:15.3419840Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:35:15.3420010Z VALGRIND=ON 2025-08-14T21:35:15.3420179Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:35:15.3420417Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:35:15.3420646Z TERM=vt100 2025-08-14T21:35:15.3420807Z INSTALLED_VISION=yes 2025-08-14T21:35:15.3420977Z BRANCH=main 2025-08-14T21:35:15.3421130Z SCCACHE_REGION=us-east-1 2025-08-14T21:35:15.3421324Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:35:15.3421522Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:35:15.3421852Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:35:15.3422221Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:35:15.3422431Z UCC_COMMIT= 2025-08-14T21:35:15.3422580Z REENABLED_ISSUES= 2025-08-14T21:35:15.3422735Z DOCS=yes 2025-08-14T21:35:15.3422886Z SHLVL=1 2025-08-14T21:35:15.3423133Z MAX_JOBS=30 2025-08-14T21:35:15.3423284Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:35:15.3423519Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:15.3423857Z GITHUB_REF_NAME=main 2025-08-14T21:35:15.3424115Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:35:15.3424396Z GITHUB_JOB=test 2025-08-14T21:35:15.3424561Z NO_TEST_TIMEOUT=False 2025-08-14T21:35:15.3424725Z TD_DISTRIBUTED=False 2025-08-14T21:35:15.3424912Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:35:15.3425121Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:35:15.3425297Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:35:15.3425485Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:35:15.3425970Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:35:15.3426452Z GITHUB_BASE_REF= 2025-08-14T21:35:15.3426609Z INSTALLED_ACL= 2025-08-14T21:35:15.3426922Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063 2025-08-14T21:35:15.3427234Z CI=true 2025-08-14T21:35:15.3427387Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:35:15.3427642Z RUST_LOG=sccache::server=error 2025-08-14T21:35:15.3427832Z JOB_ID=48128261063 2025-08-14T21:35:15.3427984Z GITHUB_HEAD_REF= 2025-08-14T21:35:15.3428147Z GITHUB_ACTION_REF= 2025-08-14T21:35:15.3428348Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:35:15.3428577Z TEST_SHOWLOCALS=False 2025-08-14T21:35:15.3428769Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:35:15.3428982Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:35:15.3429372Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_2d636abe-a5ba-4b86-8b03-68cd8e3e57e2 2025-08-14T21:35:15.3429766Z NO_TD=False 2025-08-14T21:35:15.3429936Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:35:15.3430149Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:35:15.3430352Z _=/usr/bin/env 2025-08-14T21:35:15.3430520Z + echo 'Testing pytorch' 2025-08-14T21:35:15.3430701Z Testing pytorch 2025-08-14T21:35:15.3430884Z + export LANG=C.UTF-8 2025-08-14T21:35:15.3431054Z + LANG=C.UTF-8 2025-08-14T21:35:15.3431214Z + PR_NUMBER= 2025-08-14T21:35:15.3431400Z + [[ cpu_inductor_freezing_timm == \d\e\f\a\u\l\t ]] 2025-08-14T21:35:15.3431669Z + [[ cpu_inductor_freezing_timm == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-14T21:35:15.3431925Z + [[ cpu_inductor_freezing_timm == \s\l\o\w ]] 2025-08-14T21:35:15.3432185Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-08-14T21:35:15.3432459Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:35:15.3432703Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:35:15.3432941Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:35:15.3433174Z + [[ cpu_inductor_freezing_timm == *crossref* ]] 2025-08-14T21:35:15.3433413Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:35:15.3433650Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:35:15.3433893Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:35:15.3434130Z + pip_install ninja==1.10.2 2025-08-14T21:35:15.3434381Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:35:15.3434681Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-14T21:35:15.7254891Z Collecting ninja==1.10.2 2025-08-14T21:35:15.7363644Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-14T21:35:15.7481084Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-14T21:35:16.5173501Z Installing collected packages: ninja 2025-08-14T21:35:16.5174028Z Attempting uninstall: ninja 2025-08-14T21:35:16.5185693Z Found existing installation: ninja 1.11.1.3 2025-08-14T21:35:16.5205575Z Uninstalling ninja-1.11.1.3: 2025-08-14T21:35:16.5368662Z Successfully uninstalled ninja-1.11.1.3 2025-08-14T21:35:16.9089984Z Successfully installed ninja-1.10.2 2025-08-14T21:35:17.0101542Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:35:17.0104026Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:35:17.0104660Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:35:17.0104945Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-08-14T21:35:17.0105201Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-08-14T21:35:17.0105464Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:35:17.0105829Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-08-14T21:35:17.0106294Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-08-14T21:35:17.0106623Z + cd test 2025-08-14T21:35:17.0109700Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-14T21:35:18.2402415Z + [[ cpu_inductor_freezing_timm == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-14T21:35:18.2402828Z + [[ cpu_inductor_freezing_timm == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-14T21:35:18.2403236Z + [[ cpu_inductor_freezing_timm == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-14T21:35:18.2403609Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-14T21:35:18.2403861Z + [[ cpu_inductor_freezing_timm == *pr_time_benchmarks* ]] 2025-08-14T21:35:18.2404175Z + [[ cpu_inductor_freezing_timm == *dynamo_eager* ]] 2025-08-14T21:35:18.2404438Z + [[ cpu_inductor_freezing_timm == *aot_eager* ]] 2025-08-14T21:35:18.2404696Z + [[ cpu_inductor_freezing_timm == *aot_inductor* ]] 2025-08-14T21:35:18.2404967Z + [[ cpu_inductor_freezing_timm == *max_autotune_inductor* ]] 2025-08-14T21:35:18.2405253Z + [[ cpu_inductor_freezing_timm == *inductor* ]] 2025-08-14T21:35:18.2405505Z + [[ cpu_inductor_freezing_timm != *perf* ]] 2025-08-14T21:35:18.2405787Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-08-14T21:35:18.2406032Z + [[ cpu_inductor_freezing_timm == *dynamic* ]] 2025-08-14T21:35:18.2406278Z + [[ cpu_inductor_freezing_timm == *cpu* ]] 2025-08-14T21:35:18.2406514Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-08-14T21:35:18.2685311Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:35:18.2687410Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-08-14T21:35:18.2687680Z + cd test 2025-08-14T21:35:18.2687916Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-14T21:35:19.2692076Z PyTorch built with: 2025-08-14T21:35:19.2692353Z - GCC 11.4 2025-08-14T21:35:19.2692518Z - C++ Version: 201703 2025-08-14T21:35:19.2692890Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:35:19.2693395Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:35:19.2693715Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:35:19.2693978Z - LAPACK is enabled (usually provided by MKL) 2025-08-14T21:35:19.2694219Z - NNPACK is enabled 2025-08-14T21:35:19.2694403Z - CPU capability usage: AVX512 2025-08-14T21:35:19.2697590Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=1fc683cf17c8c673044538d10266c00f92987be2, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-08-14T21:35:19.2700620Z 2025-08-14T21:35:19.4833392Z + cd test 2025-08-14T21:35:19.4833773Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-14T21:35:20.4446470Z ATen/Parallel: 2025-08-14T21:35:20.4446780Z at::get_num_threads() : 16 2025-08-14T21:35:20.4447018Z at::get_num_interop_threads() : 16 2025-08-14T21:35:20.4447251Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:35:20.4447469Z omp_get_max_threads() : 16 2025-08-14T21:35:20.4447891Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:35:20.4448273Z mkl_get_max_threads() : 16 2025-08-14T21:35:20.4448594Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:35:20.4448901Z std::thread::hardware_concurrency() : 32 2025-08-14T21:35:20.4449142Z Environment variables: 2025-08-14T21:35:20.4449343Z OMP_NUM_THREADS : [not set] 2025-08-14T21:35:20.4449539Z MKL_NUM_THREADS : [not set] 2025-08-14T21:35:20.4449748Z ATen parallel backend: OpenMP 2025-08-14T21:35:20.4449879Z 2025-08-14T21:35:20.6537331Z + [[ cpu_inductor_freezing_timm == *numpy_2* ]] 2025-08-14T21:35:20.6537671Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:35:20.6537947Z + [[ cpu_inductor_freezing_timm == *backward* ]] 2025-08-14T21:35:20.6538214Z + [[ cpu_inductor_freezing_timm == *xla* ]] 2025-08-14T21:35:20.6538470Z + [[ cpu_inductor_freezing_timm == *executorch* ]] 2025-08-14T21:35:20.6538739Z + [[ cpu_inductor_freezing_timm == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-14T21:35:20.6539013Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:35:20.6539271Z + [[ cpu_inductor_freezing_timm == distributed ]] 2025-08-14T21:35:20.6539563Z + [[ cpu_inductor_freezing_timm == *operator_benchmark* ]] 2025-08-14T21:35:20.6539862Z + [[ cpu_inductor_freezing_timm == *inductor_distributed* ]] 2025-08-14T21:35:20.6540144Z + [[ cpu_inductor_freezing_timm == *inductor-halide* ]] 2025-08-14T21:35:20.6540422Z + [[ cpu_inductor_freezing_timm == *inductor-triton-cpu* ]] 2025-08-14T21:35:20.6540729Z + [[ cpu_inductor_freezing_timm == *inductor-micro-benchmark* ]] 2025-08-14T21:35:20.6541014Z + [[ cpu_inductor_freezing_timm == *huggingface* ]] 2025-08-14T21:35:20.6541248Z + [[ cpu_inductor_freezing_timm == *timm* ]] 2025-08-14T21:35:20.6541469Z + install_torchvision 2025-08-14T21:35:20.6541650Z + local orig_preload 2025-08-14T21:35:20.6541851Z + local commit 2025-08-14T21:35:20.6545641Z ++ get_pinned_commit vision 2025-08-14T21:35:20.6545868Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-14T21:35:20.6573179Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:35:20.6573486Z + orig_preload= 2025-08-14T21:35:20.6573671Z + '[' -n '' ']' 2025-08-14T21:35:20.6573870Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:35:20.6574345Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-14T21:35:20.6574902Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:35:20.6575268Z + local wheel_dir=dist/vision 2025-08-14T21:35:20.6575471Z + local found_whl=0 2025-08-14T21:35:20.6575652Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:35:20.6575972Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-08-14T21:35:20.6576270Z + found_whl=1 2025-08-14T21:35:20.6576419Z + break 2025-08-14T21:35:20.6576575Z + '[' 1 == 0 ']' 2025-08-14T21:35:20.6576751Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:35:20.6577072Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:20.6577822Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-08-14T21:35:20.6578126Z + local args 2025-08-14T21:35:20.6578520Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-08-14T21:35:20.6578840Z + for path in "${args[@]}" 2025-08-14T21:35:20.6579156Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-08-14T21:35:20.6579589Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:20.6580067Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:20.9535700Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:20.9610405Z Installing collected packages: torchvision 2025-08-14T21:35:21.3444284Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-14T21:35:21.3920354Z + '[' -n '' ']' 2025-08-14T21:35:21.3920602Z + id=1 2025-08-14T21:35:21.3920824Z + test_dynamo_benchmark timm_models 1 2025-08-14T21:35:21.3921051Z ++ pwd 2025-08-14T21:35:21.3924071Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:35:21.3924602Z + local suite=timm_models 2025-08-14T21:35:21.3924915Z + shift 2025-08-14T21:35:21.3925104Z + local shard_id=1 2025-08-14T21:35:21.3925280Z + shift 2025-08-14T21:35:21.3925620Z + [[ cpu_inductor_freezing_timm == *perf_compare* ]] 2025-08-14T21:35:21.3926565Z + [[ cpu_inductor_freezing_timm == *perf* ]] 2025-08-14T21:35:21.3926891Z + [[ cpu_inductor_freezing_timm == *cpu* ]] 2025-08-14T21:35:21.3927121Z + local dt=float32 2025-08-14T21:35:21.3927314Z + [[ cpu_inductor_freezing_timm == *amp* ]] 2025-08-14T21:35:21.3927561Z + [[ cpu_inductor_freezing_timm == *freezing* ]] 2025-08-14T21:35:21.3927932Z + test_single_dynamo_benchmark inference timm_models 1 --inference --float32 --freezing 2025-08-14T21:35:21.3928268Z ++ pwd 2025-08-14T21:35:21.3928527Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:35:21.3928867Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:35:21.3951616Z + local name=inference 2025-08-14T21:35:21.3951854Z + shift 2025-08-14T21:35:21.3952094Z + local suite=timm_models 2025-08-14T21:35:21.3952284Z + shift 2025-08-14T21:35:21.3952435Z + local shard_id=1 2025-08-14T21:35:21.3952595Z + shift 2025-08-14T21:35:21.3952746Z + partition_flags=() 2025-08-14T21:35:21.3952922Z + local partition_flags 2025-08-14T21:35:21.3953099Z + [[ -n 2 ]] 2025-08-14T21:35:21.3953258Z + [[ -n 1 ]] 2025-08-14T21:35:21.3953538Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-08-14T21:35:21.3953887Z + [[ cpu_inductor_freezing_timm == *perf_compare* ]] 2025-08-14T21:35:21.3954137Z + [[ cpu_inductor_freezing_timm == *perf* ]] 2025-08-14T21:35:21.3954363Z + [[ cpu_inductor_freezing_timm == *_avx2* ]] 2025-08-14T21:35:21.3954607Z + [[ cpu_inductor_freezing_timm == *_avx512* ]] 2025-08-14T21:35:21.3955419Z + python benchmarks/dynamo/timm_models.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cpu --inference --float32 --freezing --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inference_timm_models.csv 2025-08-14T21:35:28.3337147Z 2025-08-14T21:35:28.4684070Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:35:28.4686702Z 2025-08-14T21:35:28.5910450Z model.safetensors: 0% 0.00/29.6M [00:00 2025-08-14T21:35:49.2064423Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2064595Z 2025-08-14T21:35:49.2064717Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2065144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2065502Z return mod(*inputs) 2025-08-14T21:35:49.2065836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2066195Z x = self.forward_features(x) 2025-08-14T21:35:49.2066572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2066959Z x = self.blocks(x) 2025-08-14T21:35:49.2067317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2067711Z x = self.conv_pw(x) 2025-08-14T21:35:49.2068046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2068463Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2068879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2069281Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2069460Z 2025-08-14T21:35:49.2069571Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2069965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2070306Z return mod(*inputs) 2025-08-14T21:35:49.2070637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2070997Z x = self.forward_features(x) 2025-08-14T21:35:49.2071373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2071741Z x = self.blocks(x) 2025-08-14T21:35:49.2072091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2072461Z x = self.conv_pw(x) 2025-08-14T21:35:49.2072784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2073162Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2073559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2074007Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2074175Z 2025-08-14T21:35:49.2074328Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2074701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2075044Z return mod(*inputs) 2025-08-14T21:35:49.2075374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2075728Z x = self.forward_features(x) 2025-08-14T21:35:49.2076102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2076483Z x = self.blocks(x) 2025-08-14T21:35:49.2076819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2077191Z x = self.conv_pw(x) 2025-08-14T21:35:49.2077528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2077934Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2078323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2078718Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2078890Z 2025-08-14T21:35:49.2078975Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2079214Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2079464Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2079850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2080221Z return mod(*inputs) 2025-08-14T21:35:49.2080554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2080934Z x = self.forward_features(x) 2025-08-14T21:35:49.2081326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2081707Z x = self.blocks(x) 2025-08-14T21:35:49.2082055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2082436Z x = self.conv_pw(x) 2025-08-14T21:35:49.2082777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2083132Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2083263Z 2025-08-14T21:35:49.2083378Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2083783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2084132Z return mod(*inputs) 2025-08-14T21:35:49.2084464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2084838Z x = self.forward_features(x) 2025-08-14T21:35:49.2085228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2085612Z x = self.blocks(x) 2025-08-14T21:35:49.2085970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2086348Z x = self.bn1(x) 2025-08-14T21:35:49.2086669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2087010Z x = self.act(x) 2025-08-14T21:35:49.2087138Z 2025-08-14T21:35:49.2087231Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2087495Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2087888Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2088277Z return mod(*inputs) 2025-08-14T21:35:49.2088660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2089028Z x = self.forward_features(x) 2025-08-14T21:35:49.2089413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2089807Z x = self.blocks(x) 2025-08-14T21:35:49.2090161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2090536Z x = self.conv_dw(x) 2025-08-14T21:35:49.2090973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2091393Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2091814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2092228Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2092409Z 2025-08-14T21:35:49.2092527Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2092920Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2093263Z return mod(*inputs) 2025-08-14T21:35:49.2093610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2093988Z x = self.forward_features(x) 2025-08-14T21:35:49.2094381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2094762Z x = self.blocks(x) 2025-08-14T21:35:49.2095116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2095502Z x = self.conv_dw(x) 2025-08-14T21:35:49.2095830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2096240Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2096654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2097067Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2097238Z 2025-08-14T21:35:49.2097326Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2097587Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2097975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2098325Z return mod(*inputs) 2025-08-14T21:35:49.2098663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2099036Z x = self.forward_features(x) 2025-08-14T21:35:49.2099422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2099803Z x = self.blocks(x) 2025-08-14T21:35:49.2100171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2100545Z x = self.conv_dw(x) 2025-08-14T21:35:49.2100889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2101290Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2101691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2102089Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2102257Z 2025-08-14T21:35:49.2102367Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2102760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2103211Z return mod(*inputs) 2025-08-14T21:35:49.2103588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2103944Z x = self.forward_features(x) 2025-08-14T21:35:49.2104321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2104699Z x = self.blocks(x) 2025-08-14T21:35:49.2105038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2105413Z x = self.conv_dw(x) 2025-08-14T21:35:49.2105773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2106194Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2106603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2107037Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2107208Z 2025-08-14T21:35:49.2107303Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2107559Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2107944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2108332Z return mod(*inputs) 2025-08-14T21:35:49.2108668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2109022Z x = self.forward_features(x) 2025-08-14T21:35:49.2109397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2109785Z x = self.blocks(x) 2025-08-14T21:35:49.2110144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2110524Z x = self.conv_dw(x) 2025-08-14T21:35:49.2110874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2111280Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2111691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2112092Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2112266Z 2025-08-14T21:35:49.2112376Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2112752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2113088Z return mod(*inputs) 2025-08-14T21:35:49.2113435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2113820Z x = self.forward_features(x) 2025-08-14T21:35:49.2114197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2114606Z x = self.blocks(x) 2025-08-14T21:35:49.2114955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2115322Z x = self.conv_dw(x) 2025-08-14T21:35:49.2115643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2116032Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2116436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2116846Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2117024Z 2025-08-14T21:35:49.2117110Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2118628Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2118860Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2119109Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2119629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2119991Z return mod(*inputs) 2025-08-14T21:35:49.2120333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2120714Z x = self.forward_features(x) 2025-08-14T21:35:49.2121109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2121507Z x = self.blocks(x) 2025-08-14T21:35:49.2121861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2122248Z x = self.conv_dw(x) 2025-08-14T21:35:49.2122587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2122949Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2123082Z 2025-08-14T21:35:49.2123200Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2123589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2123944Z return mod(*inputs) 2025-08-14T21:35:49.2124280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2124655Z x = self.forward_features(x) 2025-08-14T21:35:49.2125041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2125422Z x = self.blocks(x) 2025-08-14T21:35:49.2125783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:35:49.2126163Z x = self.bn2(x) 2025-08-14T21:35:49.2126484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2126821Z x = self.act(x) 2025-08-14T21:35:49.2126932Z 2025-08-14T21:35:49.2127021Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2127284Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2127678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2128033Z return mod(*inputs) 2025-08-14T21:35:49.2128382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2128773Z x = self.forward_features(x) 2025-08-14T21:35:49.2129175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2129565Z x = self.blocks(x) 2025-08-14T21:35:49.2129924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2130308Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2130719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2131139Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2131555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2131965Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2132149Z 2025-08-14T21:35:49.2132264Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2132655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2133010Z return mod(*inputs) 2025-08-14T21:35:49.2133355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2133809Z x = self.forward_features(x) 2025-08-14T21:35:49.2134234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2134629Z x = self.blocks(x) 2025-08-14T21:35:49.2134982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2135367Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2135711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2136105Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2136524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2136928Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2137095Z 2025-08-14T21:35:49.2137180Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2137435Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2137832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2138186Z return mod(*inputs) 2025-08-14T21:35:49.2138523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2138925Z x = self.forward_features(x) 2025-08-14T21:35:49.2139300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2139685Z x = self.blocks(x) 2025-08-14T21:35:49.2140042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2140429Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2140767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2141165Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2141586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2142011Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2142172Z 2025-08-14T21:35:49.2142291Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2142658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2143000Z return mod(*inputs) 2025-08-14T21:35:49.2143335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2143689Z x = self.forward_features(x) 2025-08-14T21:35:49.2144067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2144448Z x = self.blocks(x) 2025-08-14T21:35:49.2144801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2145169Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2145515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2145913Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2146316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2146739Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2146918Z 2025-08-14T21:35:49.2147004Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2147235Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2147477Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2147858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2148245Z return mod(*inputs) 2025-08-14T21:35:49.2148575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2148990Z x = self.forward_features(x) 2025-08-14T21:35:49.2149368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2149747Z x = self.blocks(x) 2025-08-14T21:35:49.2150104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2150483Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2150816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2151167Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2151293Z 2025-08-14T21:35:49.2151399Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2151779Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2152128Z return mod(*inputs) 2025-08-14T21:35:49.2152455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2152816Z x = self.forward_features(x) 2025-08-14T21:35:49.2153187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2153574Z x = self.blocks(x) 2025-08-14T21:35:49.2153926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:35:49.2154309Z x = self.bn3(x) 2025-08-14T21:35:49.2154641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:35:49.2154977Z x = F.batch_norm( 2025-08-14T21:35:49.2155088Z 2025-08-14T21:35:49.2155196Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2155578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2155908Z return mod(*inputs) 2025-08-14T21:35:49.2156248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2156612Z x = self.forward_features(x) 2025-08-14T21:35:49.2156994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2157361Z x = self.blocks(x) 2025-08-14T21:35:49.2157704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2158089Z x = self.conv_pw(x) 2025-08-14T21:35:49.2158419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2158825Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2159241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2159645Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2159811Z 2025-08-14T21:35:49.2159922Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2160304Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2160645Z return mod(*inputs) 2025-08-14T21:35:49.2160980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2161337Z x = self.forward_features(x) 2025-08-14T21:35:49.2161711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2162090Z x = self.blocks(x) 2025-08-14T21:35:49.2162426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2162836Z x = self.conv_pw(x) 2025-08-14T21:35:49.2163189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2163582Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2163977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2164378Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2164544Z 2025-08-14T21:35:49.2164664Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2165064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2165415Z return mod(*inputs) 2025-08-14T21:35:49.2165766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2166145Z x = self.forward_features(x) 2025-08-14T21:35:49.2166526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2166933Z x = self.blocks(x) 2025-08-14T21:35:49.2167283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2167664Z x = self.conv_pw(x) 2025-08-14T21:35:49.2168000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2168399Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2168805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2169215Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2169392Z 2025-08-14T21:35:49.2169502Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2169896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2170261Z return mod(*inputs) 2025-08-14T21:35:49.2170684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2171099Z x = self.forward_features(x) 2025-08-14T21:35:49.2171504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2171904Z x = self.blocks(x) 2025-08-14T21:35:49.2172269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2172672Z x = self.conv_pw(x) 2025-08-14T21:35:49.2173022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2173425Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2173846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2174272Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2174451Z 2025-08-14T21:35:49.2174544Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2174786Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2175048Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2175445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2175797Z return mod(*inputs) 2025-08-14T21:35:49.2176146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2176523Z x = self.forward_features(x) 2025-08-14T21:35:49.2176910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2177307Z x = self.blocks(x) 2025-08-14T21:35:49.2177711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2178126Z x = self.conv_pw(x) 2025-08-14T21:35:49.2178465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2178837Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2178961Z 2025-08-14T21:35:49.2179082Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2179467Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2179820Z return mod(*inputs) 2025-08-14T21:35:49.2180161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2180533Z x = self.forward_features(x) 2025-08-14T21:35:49.2180911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2181303Z x = self.blocks(x) 2025-08-14T21:35:49.2181664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2182033Z x = self.bn1(x) 2025-08-14T21:35:49.2182356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2182705Z x = self.act(x) 2025-08-14T21:35:49.2182804Z 2025-08-14T21:35:49.2182922Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2183309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2183671Z return mod(*inputs) 2025-08-14T21:35:49.2184015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2184385Z x = self.forward_features(x) 2025-08-14T21:35:49.2184780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2185174Z x = self.blocks(x) 2025-08-14T21:35:49.2185538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:35:49.2185923Z x = self.bn2(x) 2025-08-14T21:35:49.2186244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2186587Z x = self.act(x) 2025-08-14T21:35:49.2186686Z 2025-08-14T21:35:49.2186797Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2187194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2187545Z return mod(*inputs) 2025-08-14T21:35:49.2187886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2188249Z x = self.forward_features(x) 2025-08-14T21:35:49.2188639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2189030Z x = self.blocks(x) 2025-08-14T21:35:49.2189380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:35:49.2189765Z x = self.bn2(x) 2025-08-14T21:35:49.2190113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2190465Z x = self.act(x) 2025-08-14T21:35:49.2190562Z 2025-08-14T21:35:49.2190673Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2191066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2191419Z return mod(*inputs) 2025-08-14T21:35:49.2191754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2192128Z x = self.forward_features(x) 2025-08-14T21:35:49.2192548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2192970Z x = self.blocks(x) 2025-08-14T21:35:49.2193326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2193715Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2194079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2194487Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2194910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2195336Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2195509Z 2025-08-14T21:35:49.2195632Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2196030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2196394Z return mod(*inputs) 2025-08-14T21:35:49.2196746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2197127Z x = self.forward_features(x) 2025-08-14T21:35:49.2197516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2197911Z x = self.blocks(x) 2025-08-14T21:35:49.2198279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2198669Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2199018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2199425Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2199845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2200261Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2200446Z 2025-08-14T21:35:49.2200557Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2200958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2201304Z return mod(*inputs) 2025-08-14T21:35:49.2201656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2202039Z x = self.forward_features(x) 2025-08-14T21:35:49.2202437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2202826Z x = self.blocks(x) 2025-08-14T21:35:49.2203192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2203593Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2203925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2204320Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2204727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2205153Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2205321Z 2025-08-14T21:35:49.2205434Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2205836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2206197Z return mod(*inputs) 2025-08-14T21:35:49.2206548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2206926Z x = self.forward_features(x) 2025-08-14T21:35:49.2207375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2207800Z x = self.blocks(x) 2025-08-14T21:35:49.2208140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2208558Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2208901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2209305Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2209715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2210127Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2210296Z 2025-08-14T21:35:49.2210391Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2210705Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2210999Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2211399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2211768Z return mod(*inputs) 2025-08-14T21:35:49.2212119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2212508Z x = self.forward_features(x) 2025-08-14T21:35:49.2212890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2213269Z x = self.blocks(x) 2025-08-14T21:35:49.2213627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2214008Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2214355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2214710Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2214838Z 2025-08-14T21:35:49.2214946Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2215344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2215683Z return mod(*inputs) 2025-08-14T21:35:49.2216018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2216380Z x = self.forward_features(x) 2025-08-14T21:35:49.2216759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2217132Z x = self.blocks(x) 2025-08-14T21:35:49.2217478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:35:49.2217860Z x = self.drop_path(x) + shortcut 2025-08-14T21:35:49.2217994Z 2025-08-14T21:35:49.2218107Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2218615Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2218969Z return mod(*inputs) 2025-08-14T21:35:49.2219308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2219665Z x = self.forward_features(x) 2025-08-14T21:35:49.2220049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2220442Z x = self.blocks(x) 2025-08-14T21:35:49.2220785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2221161Z x = self.bn1(x) 2025-08-14T21:35:49.2221480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2221824Z x = self.act(x) 2025-08-14T21:35:49.2222000Z 2025-08-14T21:35:49.2222108Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2222549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2222877Z return mod(*inputs) 2025-08-14T21:35:49.2223186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2223534Z x = self.forward_features(x) 2025-08-14T21:35:49.2223894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2224257Z x = self.blocks(x) 2025-08-14T21:35:49.2224578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2224929Z x = self.bn1(x) 2025-08-14T21:35:49.2225221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2225538Z x = self.act(x) 2025-08-14T21:35:49.2225644Z 2025-08-14T21:35:49.2225752Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2226141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2226484Z return mod(*inputs) 2025-08-14T21:35:49.2226815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2227179Z x = self.forward_features(x) 2025-08-14T21:35:49.2227553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2227934Z x = self.blocks(x) 2025-08-14T21:35:49.2228280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2228658Z x = self.conv_dw(x) 2025-08-14T21:35:49.2228985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2229355Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2229738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2230126Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2230283Z 2025-08-14T21:35:49.2230394Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2230752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2231075Z return mod(*inputs) 2025-08-14T21:35:49.2231387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2231722Z x = self.forward_features(x) 2025-08-14T21:35:49.2232077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2232442Z x = self.blocks(x) 2025-08-14T21:35:49.2232768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2233113Z x = self.conv_dw(x) 2025-08-14T21:35:49.2233420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2233795Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2234173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2234554Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2234718Z 2025-08-14T21:35:49.2234822Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2235184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2235560Z return mod(*inputs) 2025-08-14T21:35:49.2235935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2236303Z x = self.forward_features(x) 2025-08-14T21:35:49.2236692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2237078Z x = self.blocks(x) 2025-08-14T21:35:49.2237434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2237809Z x = self.conv_dw(x) 2025-08-14T21:35:49.2238135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2238539Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2238959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2239391Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2239576Z 2025-08-14T21:35:49.2239688Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2240086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2240453Z return mod(*inputs) 2025-08-14T21:35:49.2240798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2241178Z x = self.forward_features(x) 2025-08-14T21:35:49.2241567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2241961Z x = self.blocks(x) 2025-08-14T21:35:49.2242311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2242696Z x = self.conv_dw(x) 2025-08-14T21:35:49.2243037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2243435Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2243849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2244260Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2244430Z 2025-08-14T21:35:49.2244552Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2244943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2245298Z return mod(*inputs) 2025-08-14T21:35:49.2245643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2246010Z x = self.forward_features(x) 2025-08-14T21:35:49.2246397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2246794Z x = self.blocks(x) 2025-08-14T21:35:49.2247158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2247538Z x = self.conv_dw(x) 2025-08-14T21:35:49.2247877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2248282Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2248683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2249097Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2249276Z 2025-08-14T21:35:49.2249389Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2249788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2250128Z return mod(*inputs) 2025-08-14T21:35:49.2250475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2250990Z x = self.forward_features(x) 2025-08-14T21:35:49.2251416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2251813Z x = self.blocks(x) 2025-08-14T21:35:49.2252178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2252564Z x = self.conv_dw(x) 2025-08-14T21:35:49.2252894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2253297Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2253719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2254130Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2254306Z 2025-08-14T21:35:49.2254421Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2254803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2255132Z return mod(*inputs) 2025-08-14T21:35:49.2255463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2255841Z x = self.forward_features(x) 2025-08-14T21:35:49.2256196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2256556Z x = self.blocks(x) 2025-08-14T21:35:49.2256880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2257246Z x = self.conv_dw(x) 2025-08-14T21:35:49.2257574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2257972Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2258379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2258783Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2258956Z 2025-08-14T21:35:49.2259070Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2259422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2259751Z return mod(*inputs) 2025-08-14T21:35:49.2260069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2260405Z x = self.forward_features(x) 2025-08-14T21:35:49.2260768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2261148Z x = self.blocks(x) 2025-08-14T21:35:49.2261498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2261865Z x = self.conv_dw(x) 2025-08-14T21:35:49.2262194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2262595Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2262967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2263348Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2263510Z 2025-08-14T21:35:49.2263592Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2263812Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2264018Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2264227Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2264461Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2264873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2265229Z return mod(*inputs) 2025-08-14T21:35:49.2265550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2265887Z x = self.forward_features(x) 2025-08-14T21:35:49.2266234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2266587Z x = self.blocks(x) 2025-08-14T21:35:49.2266919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2267262Z x = self.conv_dw(x) 2025-08-14T21:35:49.2267577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2267923Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2268044Z 2025-08-14T21:35:49.2268158Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2268526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2268862Z return mod(*inputs) 2025-08-14T21:35:49.2269193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2269542Z x = self.forward_features(x) 2025-08-14T21:35:49.2269913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2270281Z x = self.blocks(x) 2025-08-14T21:35:49.2270605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:35:49.2270940Z x = self.bn2(x) 2025-08-14T21:35:49.2271234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:35:49.2271556Z x = F.batch_norm( 2025-08-14T21:35:49.2271652Z 2025-08-14T21:35:49.2271757Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2272138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2272488Z return mod(*inputs) 2025-08-14T21:35:49.2272820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2273172Z x = self.forward_features(x) 2025-08-14T21:35:49.2273549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2273925Z x = self.blocks(x) 2025-08-14T21:35:49.2274263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:35:49.2274627Z x = self.bn2(x) 2025-08-14T21:35:49.2274939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2275292Z x = self.act(x) 2025-08-14T21:35:49.2275387Z 2025-08-14T21:35:49.2275493Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2275873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2276232Z return mod(*inputs) 2025-08-14T21:35:49.2276552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2276909Z x = self.forward_features(x) 2025-08-14T21:35:49.2277282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2277657Z x = self.blocks(x) 2025-08-14T21:35:49.2277990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2278355Z x = self.se(x) 2025-08-14T21:35:49.2278694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2279100Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2279227Z 2025-08-14T21:35:49.2279374Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2279758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2280096Z return mod(*inputs) 2025-08-14T21:35:49.2280423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2280784Z x = self.forward_features(x) 2025-08-14T21:35:49.2281156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2281519Z x = self.blocks(x) 2025-08-14T21:35:49.2281861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2282227Z x = self.se(x) 2025-08-14T21:35:49.2282559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2282924Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2283048Z 2025-08-14T21:35:49.2283155Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2283533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2283869Z return mod(*inputs) 2025-08-14T21:35:49.2284197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2284553Z x = self.forward_features(x) 2025-08-14T21:35:49.2284926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2285294Z x = self.blocks(x) 2025-08-14T21:35:49.2285636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2286001Z x = self.se(x) 2025-08-14T21:35:49.2286327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2286698Z return x * self.gate(x_se) 2025-08-14T21:35:49.2286828Z 2025-08-14T21:35:49.2286935Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2287313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2287642Z return mod(*inputs) 2025-08-14T21:35:49.2287976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2288336Z x = self.forward_features(x) 2025-08-14T21:35:49.2288708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2289076Z x = self.blocks(x) 2025-08-14T21:35:49.2289431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2289798Z x = self.se(x) 2025-08-14T21:35:49.2290128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2290509Z return x * self.gate(x_se) 2025-08-14T21:35:49.2290709Z 2025-08-14T21:35:49.2290832Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2291219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2291578Z return mod(*inputs) 2025-08-14T21:35:49.2291916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2292283Z x = self.forward_features(x) 2025-08-14T21:35:49.2292647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2293145Z x = self.blocks(x) 2025-08-14T21:35:49.2293498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2293898Z x = self.se(x) 2025-08-14T21:35:49.2294232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2294607Z return x * self.gate(x_se) 2025-08-14T21:35:49.2294730Z 2025-08-14T21:35:49.2294847Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2295221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2295584Z return mod(*inputs) 2025-08-14T21:35:49.2295920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2296278Z x = self.forward_features(x) 2025-08-14T21:35:49.2296648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2297025Z x = self.blocks(x) 2025-08-14T21:35:49.2297372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2297734Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2297854Z 2025-08-14T21:35:49.2297960Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2298346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2298695Z return mod(*inputs) 2025-08-14T21:35:49.2299020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2299382Z x = self.forward_features(x) 2025-08-14T21:35:49.2299754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2300124Z x = self.blocks(x) 2025-08-14T21:35:49.2300473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2300847Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2300958Z 2025-08-14T21:35:49.2301075Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2301447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2301791Z return mod(*inputs) 2025-08-14T21:35:49.2302125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2302478Z x = self.forward_features(x) 2025-08-14T21:35:49.2302857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2303235Z x = self.blocks(x) 2025-08-14T21:35:49.2303580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2303926Z x = self.conv_pw(x) 2025-08-14T21:35:49.2304235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2304613Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2304989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2305385Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2305555Z 2025-08-14T21:35:49.2305661Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2306018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2306334Z return mod(*inputs) 2025-08-14T21:35:49.2306653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2306993Z x = self.forward_features(x) 2025-08-14T21:35:49.2307402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2307752Z x = self.blocks(x) 2025-08-14T21:35:49.2308110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2308466Z x = self.conv_pw(x) 2025-08-14T21:35:49.2308770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2309142Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2309521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2309902Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2310058Z 2025-08-14T21:35:49.2310163Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2310527Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2310859Z return mod(*inputs) 2025-08-14T21:35:49.2311168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2311517Z x = self.forward_features(x) 2025-08-14T21:35:49.2311876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2312235Z x = self.blocks(x) 2025-08-14T21:35:49.2312554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2312903Z x = self.conv_pw(x) 2025-08-14T21:35:49.2313212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2313581Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2313962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2314447Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2314602Z 2025-08-14T21:35:49.2314718Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2315062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2315385Z return mod(*inputs) 2025-08-14T21:35:49.2315703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2316046Z x = self.forward_features(x) 2025-08-14T21:35:49.2316393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2316748Z x = self.blocks(x) 2025-08-14T21:35:49.2317078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2317427Z x = self.conv_pw(x) 2025-08-14T21:35:49.2317750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2318141Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2318681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2319077Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2319251Z 2025-08-14T21:35:49.2319338Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2319569Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2319813Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2320209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2320552Z return mod(*inputs) 2025-08-14T21:35:49.2320885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2321348Z x = self.forward_features(x) 2025-08-14T21:35:49.2321779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2322162Z x = self.blocks(x) 2025-08-14T21:35:49.2322509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2323027Z x = self.conv_pw(x) 2025-08-14T21:35:49.2323375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2323729Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2323849Z 2025-08-14T21:35:49.2323989Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2324370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2324711Z return mod(*inputs) 2025-08-14T21:35:49.2325037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2325407Z x = self.forward_features(x) 2025-08-14T21:35:49.2325785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2326165Z x = self.blocks(x) 2025-08-14T21:35:49.2326511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2326877Z x = self.bn1(x) 2025-08-14T21:35:49.2327191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:35:49.2327519Z x = F.batch_norm( 2025-08-14T21:35:49.2327630Z 2025-08-14T21:35:49.2327738Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2328126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2328476Z return mod(*inputs) 2025-08-14T21:35:49.2328815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2329192Z x = self.forward_features(x) 2025-08-14T21:35:49.2329581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2329947Z x = self.blocks(x) 2025-08-14T21:35:49.2330290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2330714Z x = self.bn1(x) 2025-08-14T21:35:49.2331043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2331379Z x = self.act(x) 2025-08-14T21:35:49.2331485Z 2025-08-14T21:35:49.2331573Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2331830Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2332214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2332576Z return mod(*inputs) 2025-08-14T21:35:49.2332914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2333276Z x = self.forward_features(x) 2025-08-14T21:35:49.2333656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2334036Z x = self.blocks(x) 2025-08-14T21:35:49.2334388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2334749Z x = self.conv_dw(x) 2025-08-14T21:35:49.2335078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2335475Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2335876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2336345Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2336517Z 2025-08-14T21:35:49.2336657Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2337038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2337370Z return mod(*inputs) 2025-08-14T21:35:49.2337704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2338063Z x = self.forward_features(x) 2025-08-14T21:35:49.2338432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2338799Z x = self.blocks(x) 2025-08-14T21:35:49.2339146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2339519Z x = self.conv_dw(x) 2025-08-14T21:35:49.2339834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2340231Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2340625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2341023Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2341186Z 2025-08-14T21:35:49.2341270Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2341523Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2341897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2342229Z return mod(*inputs) 2025-08-14T21:35:49.2342563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2342927Z x = self.forward_features(x) 2025-08-14T21:35:49.2343300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2343669Z x = self.blocks(x) 2025-08-14T21:35:49.2344005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2344355Z x = self.conv_dw(x) 2025-08-14T21:35:49.2344670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2345062Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2345456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2345860Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2346022Z 2025-08-14T21:35:49.2346129Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2346507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2346828Z return mod(*inputs) 2025-08-14T21:35:49.2347143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2347479Z x = self.forward_features(x) 2025-08-14T21:35:49.2347832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2348185Z x = self.blocks(x) 2025-08-14T21:35:49.2348501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2348850Z x = self.conv_dw(x) 2025-08-14T21:35:49.2349160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2349524Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2349926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2350343Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2350501Z 2025-08-14T21:35:49.2350590Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2350797Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2351034Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2351389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2351713Z return mod(*inputs) 2025-08-14T21:35:49.2352041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2352405Z x = self.forward_features(x) 2025-08-14T21:35:49.2352778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2353148Z x = self.blocks(x) 2025-08-14T21:35:49.2353498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2353861Z x = self.conv_dw(x) 2025-08-14T21:35:49.2354171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2354516Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2354639Z 2025-08-14T21:35:49.2354722Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2354970Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2355339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2355675Z return mod(*inputs) 2025-08-14T21:35:49.2356003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2356360Z x = self.forward_features(x) 2025-08-14T21:35:49.2356726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2357104Z x = self.blocks(x) 2025-08-14T21:35:49.2357447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2357801Z x = self.se(x) 2025-08-14T21:35:49.2358138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:35:49.2358515Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:35:49.2358655Z 2025-08-14T21:35:49.2358771Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2359136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2359475Z return mod(*inputs) 2025-08-14T21:35:49.2359808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2360160Z x = self.forward_features(x) 2025-08-14T21:35:49.2360531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2360903Z x = self.blocks(x) 2025-08-14T21:35:49.2361248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2361604Z x = self.se(x) 2025-08-14T21:35:49.2361941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2362309Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2362424Z 2025-08-14T21:35:49.2362531Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2362905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2363243Z return mod(*inputs) 2025-08-14T21:35:49.2363575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2363972Z x = self.forward_features(x) 2025-08-14T21:35:49.2364389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2364772Z x = self.blocks(x) 2025-08-14T21:35:49.2365106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2365468Z x = self.se(x) 2025-08-14T21:35:49.2365806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2366172Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2366287Z 2025-08-14T21:35:49.2366394Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2366769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2367106Z return mod(*inputs) 2025-08-14T21:35:49.2367433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2367790Z x = self.forward_features(x) 2025-08-14T21:35:49.2368167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2368544Z x = self.blocks(x) 2025-08-14T21:35:49.2368875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2369241Z x = self.se(x) 2025-08-14T21:35:49.2369583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2369958Z return x * self.gate(x_se) 2025-08-14T21:35:49.2370092Z 2025-08-14T21:35:49.2370201Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2370669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2371043Z return mod(*inputs) 2025-08-14T21:35:49.2371381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2371759Z x = self.forward_features(x) 2025-08-14T21:35:49.2372148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2372546Z x = self.blocks(x) 2025-08-14T21:35:49.2372889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2373258Z x = self.se(x) 2025-08-14T21:35:49.2373604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2373967Z return x * self.gate(x_se) 2025-08-14T21:35:49.2374099Z 2025-08-14T21:35:49.2374207Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2374582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2374927Z return mod(*inputs) 2025-08-14T21:35:49.2375263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2375630Z x = self.forward_features(x) 2025-08-14T21:35:49.2376016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2376387Z x = self.blocks(x) 2025-08-14T21:35:49.2376733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2377104Z x = self.se(x) 2025-08-14T21:35:49.2377448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2377824Z return x * self.gate(x_se) 2025-08-14T21:35:49.2377950Z 2025-08-14T21:35:49.2378035Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2378334Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2378712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2379098Z return mod(*inputs) 2025-08-14T21:35:49.2379439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2379800Z x = self.forward_features(x) 2025-08-14T21:35:49.2380168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2380545Z x = self.blocks(x) 2025-08-14T21:35:49.2380892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2381260Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2381600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2381998Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2382403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2382818Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2382989Z 2025-08-14T21:35:49.2383099Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2383474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2383807Z return mod(*inputs) 2025-08-14T21:35:49.2384144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2384507Z x = self.forward_features(x) 2025-08-14T21:35:49.2384879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2385252Z x = self.blocks(x) 2025-08-14T21:35:49.2385600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2385983Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2386317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2386712Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2387116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2387526Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2387691Z 2025-08-14T21:35:49.2387777Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2388029Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2388412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2388746Z return mod(*inputs) 2025-08-14T21:35:49.2389085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2389450Z x = self.forward_features(x) 2025-08-14T21:35:49.2389828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2390200Z x = self.blocks(x) 2025-08-14T21:35:49.2390544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2390917Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2391248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2391643Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2392041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2392442Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2392646Z 2025-08-14T21:35:49.2392755Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2393170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2393512Z return mod(*inputs) 2025-08-14T21:35:49.2393848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2394202Z x = self.forward_features(x) 2025-08-14T21:35:49.2394575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2394953Z x = self.blocks(x) 2025-08-14T21:35:49.2395291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2395666Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2395999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2396388Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2396784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2397186Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2397351Z 2025-08-14T21:35:49.2397442Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2397658Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2397906Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2398276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2398615Z return mod(*inputs) 2025-08-14T21:35:49.2398941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2399307Z x = self.forward_features(x) 2025-08-14T21:35:49.2399683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2400057Z x = self.blocks(x) 2025-08-14T21:35:49.2400407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2400781Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2401115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2401462Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2401586Z 2025-08-14T21:35:49.2401694Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2402070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2402403Z return mod(*inputs) 2025-08-14T21:35:49.2402736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2403096Z x = self.forward_features(x) 2025-08-14T21:35:49.2403474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2403868Z x = self.blocks(x) 2025-08-14T21:35:49.2404211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:35:49.2404591Z x = self.drop_path(x) + shortcut 2025-08-14T21:35:49.2404724Z 2025-08-14T21:35:49.2404831Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2405204Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2405542Z return mod(*inputs) 2025-08-14T21:35:49.2405874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2406226Z x = self.forward_features(x) 2025-08-14T21:35:49.2406602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2407024Z x = self.blocks(x) 2025-08-14T21:35:49.2407403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2407787Z x = self.conv_pw(x) 2025-08-14T21:35:49.2408123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2408524Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2408931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2409342Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2409513Z 2025-08-14T21:35:49.2409633Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2410018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2410363Z return mod(*inputs) 2025-08-14T21:35:49.2410799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2411184Z x = self.forward_features(x) 2025-08-14T21:35:49.2411451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2411519Z x = self.blocks(x) 2025-08-14T21:35:49.2411774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2411844Z x = self.conv_pw(x) 2025-08-14T21:35:49.2412075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2412187Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2412420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2412540Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2412544Z 2025-08-14T21:35:49.2412657Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2412873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2412952Z return mod(*inputs) 2025-08-14T21:35:49.2413177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2413260Z x = self.forward_features(x) 2025-08-14T21:35:49.2413515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2413583Z x = self.blocks(x) 2025-08-14T21:35:49.2413841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2413910Z x = self.conv_pw(x) 2025-08-14T21:35:49.2414137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2414250Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2414483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2414599Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2414602Z 2025-08-14T21:35:49.2414715Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2414928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2415004Z return mod(*inputs) 2025-08-14T21:35:49.2415229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2415312Z x = self.forward_features(x) 2025-08-14T21:35:49.2415563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2415674Z x = self.blocks(x) 2025-08-14T21:35:49.2415974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2416044Z x = self.conv_pw(x) 2025-08-14T21:35:49.2416267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2416382Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2416612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2416729Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2416732Z 2025-08-14T21:35:49.2416818Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2416904Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2417022Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2417246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2417316Z return mod(*inputs) 2025-08-14T21:35:49.2417556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2417631Z x = self.forward_features(x) 2025-08-14T21:35:49.2417892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2417960Z x = self.blocks(x) 2025-08-14T21:35:49.2418203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2418394Z x = self.conv_pw(x) 2025-08-14T21:35:49.2418625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2418698Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2418711Z 2025-08-14T21:35:49.2418823Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2419048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2419128Z return mod(*inputs) 2025-08-14T21:35:49.2419362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2419439Z x = self.forward_features(x) 2025-08-14T21:35:49.2419708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2419775Z x = self.blocks(x) 2025-08-14T21:35:49.2420034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2420101Z x = self.bn1(x) 2025-08-14T21:35:49.2420324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:35:49.2420403Z x = F.batch_norm( 2025-08-14T21:35:49.2420409Z 2025-08-14T21:35:49.2420521Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2420740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2420821Z return mod(*inputs) 2025-08-14T21:35:49.2421053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2421138Z x = self.forward_features(x) 2025-08-14T21:35:49.2421397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2421465Z x = self.blocks(x) 2025-08-14T21:35:49.2421720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2421785Z x = self.bn1(x) 2025-08-14T21:35:49.2422007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2422151Z x = self.act(x) 2025-08-14T21:35:49.2422155Z 2025-08-14T21:35:49.2422240Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2422356Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2422626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2422695Z return mod(*inputs) 2025-08-14T21:35:49.2422931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2423005Z x = self.forward_features(x) 2025-08-14T21:35:49.2423255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2423329Z x = self.blocks(x) 2025-08-14T21:35:49.2423570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2423645Z x = self.conv_dw(x) 2025-08-14T21:35:49.2423865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2423979Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2424222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2424330Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2424334Z 2025-08-14T21:35:49.2424448Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2424658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2424726Z return mod(*inputs) 2025-08-14T21:35:49.2424954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2425026Z x = self.forward_features(x) 2025-08-14T21:35:49.2425277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2425354Z x = self.blocks(x) 2025-08-14T21:35:49.2425598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2425670Z x = self.conv_dw(x) 2025-08-14T21:35:49.2425892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2425996Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2426230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2426334Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2426337Z 2025-08-14T21:35:49.2426420Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2426536Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2426746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2426823Z return mod(*inputs) 2025-08-14T21:35:49.2427045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2427117Z x = self.forward_features(x) 2025-08-14T21:35:49.2427373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2427437Z x = self.blocks(x) 2025-08-14T21:35:49.2427680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2427755Z x = self.conv_dw(x) 2025-08-14T21:35:49.2427975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2428086Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2428312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2428449Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2428452Z 2025-08-14T21:35:49.2428595Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2428800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2428873Z return mod(*inputs) 2025-08-14T21:35:49.2429090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2429161Z x = self.forward_features(x) 2025-08-14T21:35:49.2429412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2429477Z x = self.blocks(x) 2025-08-14T21:35:49.2429712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2429784Z x = self.conv_dw(x) 2025-08-14T21:35:49.2429999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2430113Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2430336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2430438Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2430442Z 2025-08-14T21:35:49.2430533Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2430615Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2430721Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2430933Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2431000Z return mod(*inputs) 2025-08-14T21:35:49.2431225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2431300Z x = self.forward_features(x) 2025-08-14T21:35:49.2431543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2431617Z x = self.blocks(x) 2025-08-14T21:35:49.2431852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2431918Z x = self.conv_dw(x) 2025-08-14T21:35:49.2432139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2432208Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2432212Z 2025-08-14T21:35:49.2432301Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2432408Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2432610Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2432686Z return mod(*inputs) 2025-08-14T21:35:49.2432908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2432982Z x = self.forward_features(x) 2025-08-14T21:35:49.2433236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2433300Z x = self.blocks(x) 2025-08-14T21:35:49.2433542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2433602Z x = self.se(x) 2025-08-14T21:35:49.2433823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:35:49.2433908Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:35:49.2433912Z 2025-08-14T21:35:49.2434012Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2434223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2434326Z return mod(*inputs) 2025-08-14T21:35:49.2434586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2434665Z x = self.forward_features(x) 2025-08-14T21:35:49.2434907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2434973Z x = self.blocks(x) 2025-08-14T21:35:49.2435218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2435282Z x = self.se(x) 2025-08-14T21:35:49.2435522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2435593Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2435596Z 2025-08-14T21:35:49.2435702Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2435914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2435991Z return mod(*inputs) 2025-08-14T21:35:49.2436199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2436277Z x = self.forward_features(x) 2025-08-14T21:35:49.2436507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2436577Z x = self.blocks(x) 2025-08-14T21:35:49.2436800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2436861Z x = self.se(x) 2025-08-14T21:35:49.2437089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2437156Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2437159Z 2025-08-14T21:35:49.2437263Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2437466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2437531Z return mod(*inputs) 2025-08-14T21:35:49.2437749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2437817Z x = self.forward_features(x) 2025-08-14T21:35:49.2438047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2438117Z x = self.blocks(x) 2025-08-14T21:35:49.2438337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2438396Z x = self.se(x) 2025-08-14T21:35:49.2438623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2438692Z return x * self.gate(x_se) 2025-08-14T21:35:49.2438698Z 2025-08-14T21:35:49.2438806Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2439002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2439064Z return mod(*inputs) 2025-08-14T21:35:49.2439278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2439348Z x = self.forward_features(x) 2025-08-14T21:35:49.2439584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2439645Z x = self.blocks(x) 2025-08-14T21:35:49.2439870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2439935Z x = self.se(x) 2025-08-14T21:35:49.2440154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2440275Z return x * self.gate(x_se) 2025-08-14T21:35:49.2440279Z 2025-08-14T21:35:49.2440396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2440635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2440710Z return mod(*inputs) 2025-08-14T21:35:49.2440933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2441005Z x = self.forward_features(x) 2025-08-14T21:35:49.2441259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2441325Z x = self.blocks(x) 2025-08-14T21:35:49.2441572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2441637Z x = self.se(x) 2025-08-14T21:35:49.2441860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2441937Z return x * self.gate(x_se) 2025-08-14T21:35:49.2441940Z 2025-08-14T21:35:49.2442020Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2442120Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2442322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2442386Z return mod(*inputs) 2025-08-14T21:35:49.2442595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2442670Z x = self.forward_features(x) 2025-08-14T21:35:49.2442906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2442974Z x = self.blocks(x) 2025-08-14T21:35:49.2443197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2443267Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2443486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2443590Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2443808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2443918Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2443921Z 2025-08-14T21:35:49.2444020Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2444234Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2444298Z return mod(*inputs) 2025-08-14T21:35:49.2444515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2444597Z x = self.forward_features(x) 2025-08-14T21:35:49.2444860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2444936Z x = self.blocks(x) 2025-08-14T21:35:49.2445183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2445249Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2445466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2445569Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2445784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2445893Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2445896Z 2025-08-14T21:35:49.2445974Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2446080Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2446313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2446420Z return mod(*inputs) 2025-08-14T21:35:49.2446649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2446721Z x = self.forward_features(x) 2025-08-14T21:35:49.2446982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2447053Z x = self.blocks(x) 2025-08-14T21:35:49.2447291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2447366Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2447599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2447702Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2447949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2448053Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2448057Z 2025-08-14T21:35:49.2448170Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2448389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2448456Z return mod(*inputs) 2025-08-14T21:35:49.2448685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2448757Z x = self.forward_features(x) 2025-08-14T21:35:49.2449013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2449087Z x = self.blocks(x) 2025-08-14T21:35:49.2449322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2449402Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2449636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2449741Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2449978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2450083Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2450087Z 2025-08-14T21:35:49.2450172Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2450263Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2450369Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2450667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2450747Z return mod(*inputs) 2025-08-14T21:35:49.2450982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2451068Z x = self.forward_features(x) 2025-08-14T21:35:49.2451318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2451387Z x = self.blocks(x) 2025-08-14T21:35:49.2451639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2451708Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2451947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2452017Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2452021Z 2025-08-14T21:35:49.2452127Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2452339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2452450Z return mod(*inputs) 2025-08-14T21:35:49.2452710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2452791Z x = self.forward_features(x) 2025-08-14T21:35:49.2453048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2453119Z x = self.blocks(x) 2025-08-14T21:35:49.2453356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:35:49.2453433Z x = self.drop_path(x) + shortcut 2025-08-14T21:35:49.2453437Z 2025-08-14T21:35:49.2453549Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2453766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2453841Z return mod(*inputs) 2025-08-14T21:35:49.2454060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2454135Z x = self.forward_features(x) 2025-08-14T21:35:49.2454394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2454458Z x = self.blocks(x) 2025-08-14T21:35:49.2454692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2454770Z x = self.conv_pw(x) 2025-08-14T21:35:49.2454992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2480256Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2480703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2480837Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2480868Z 2025-08-14T21:35:49.2481003Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2481248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2481324Z return mod(*inputs) 2025-08-14T21:35:49.2481584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2481667Z x = self.forward_features(x) 2025-08-14T21:35:49.2481937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2482007Z x = self.blocks(x) 2025-08-14T21:35:49.2482254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2482332Z x = self.conv_pw(x) 2025-08-14T21:35:49.2482555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2482676Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2482921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2483028Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2483032Z 2025-08-14T21:35:49.2483154Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2483372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2483444Z return mod(*inputs) 2025-08-14T21:35:49.2483678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2483754Z x = self.forward_features(x) 2025-08-14T21:35:49.2484013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2484080Z x = self.blocks(x) 2025-08-14T21:35:49.2484452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2484531Z x = self.conv_pw(x) 2025-08-14T21:35:49.2484806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2484918Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2485157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2485264Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2485268Z 2025-08-14T21:35:49.2485389Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2485604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2485672Z return mod(*inputs) 2025-08-14T21:35:49.2485904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2485984Z x = self.forward_features(x) 2025-08-14T21:35:49.2486236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2486311Z x = self.blocks(x) 2025-08-14T21:35:49.2486551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2486627Z x = self.conv_pw(x) 2025-08-14T21:35:49.2486844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2486948Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2487181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2487284Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2487291Z 2025-08-14T21:35:49.2487386Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2487469Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2487582Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2487800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2487867Z return mod(*inputs) 2025-08-14T21:35:49.2488088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2488172Z x = self.forward_features(x) 2025-08-14T21:35:49.2488419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2488492Z x = self.blocks(x) 2025-08-14T21:35:49.2488729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2488796Z x = self.conv_pw(x) 2025-08-14T21:35:49.2489019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2489091Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2489098Z 2025-08-14T21:35:49.2489208Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2489424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2489492Z return mod(*inputs) 2025-08-14T21:35:49.2489717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2489790Z x = self.forward_features(x) 2025-08-14T21:35:49.2490040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2490115Z x = self.blocks(x) 2025-08-14T21:35:49.2490359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2490488Z x = self.bn1(x) 2025-08-14T21:35:49.2490807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:35:49.2490913Z x = F.batch_norm( 2025-08-14T21:35:49.2490918Z 2025-08-14T21:35:49.2491041Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2491255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2491327Z return mod(*inputs) 2025-08-14T21:35:49.2491559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2491636Z x = self.forward_features(x) 2025-08-14T21:35:49.2491896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2491974Z x = self.blocks(x) 2025-08-14T21:35:49.2492208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2492285Z x = self.bn1(x) 2025-08-14T21:35:49.2492498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2492563Z x = self.act(x) 2025-08-14T21:35:49.2492567Z 2025-08-14T21:35:49.2492661Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2492770Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2492974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2493052Z return mod(*inputs) 2025-08-14T21:35:49.2493269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2493353Z x = self.forward_features(x) 2025-08-14T21:35:49.2493595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2493665Z x = self.blocks(x) 2025-08-14T21:35:49.2493913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2493981Z x = self.conv_dw(x) 2025-08-14T21:35:49.2494182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2494292Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2494504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2494610Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2494614Z 2025-08-14T21:35:49.2494715Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2494908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2494984Z return mod(*inputs) 2025-08-14T21:35:49.2495189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2495271Z x = self.forward_features(x) 2025-08-14T21:35:49.2495502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2495566Z x = self.blocks(x) 2025-08-14T21:35:49.2495796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2495860Z x = self.conv_dw(x) 2025-08-14T21:35:49.2496060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2496169Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2496382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2496488Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2496521Z 2025-08-14T21:35:49.2496604Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2496709Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2496948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2497014Z return mod(*inputs) 2025-08-14T21:35:49.2497221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2497302Z x = self.forward_features(x) 2025-08-14T21:35:49.2497533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2497606Z x = self.blocks(x) 2025-08-14T21:35:49.2497830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2497894Z x = self.conv_dw(x) 2025-08-14T21:35:49.2498109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2498211Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2498424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2498528Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2498532Z 2025-08-14T21:35:49.2498634Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2498833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2498896Z return mod(*inputs) 2025-08-14T21:35:49.2499104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2499184Z x = self.forward_features(x) 2025-08-14T21:35:49.2499414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2499490Z x = self.blocks(x) 2025-08-14T21:35:49.2499717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2499781Z x = self.conv_dw(x) 2025-08-14T21:35:49.2499994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2500094Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2500306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2500415Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2500418Z 2025-08-14T21:35:49.2500499Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2500585Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2500686Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2500881Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2500955Z return mod(*inputs) 2025-08-14T21:35:49.2501163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2501233Z x = self.forward_features(x) 2025-08-14T21:35:49.2501467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2501540Z x = self.blocks(x) 2025-08-14T21:35:49.2501763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2501822Z x = self.conv_dw(x) 2025-08-14T21:35:49.2502029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2502095Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2502098Z 2025-08-14T21:35:49.2502184Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2502329Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2502556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2502629Z return mod(*inputs) 2025-08-14T21:35:49.2502837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2502913Z x = self.forward_features(x) 2025-08-14T21:35:49.2503144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2503205Z x = self.blocks(x) 2025-08-14T21:35:49.2503434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2503495Z x = self.se(x) 2025-08-14T21:35:49.2503717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:35:49.2503806Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:35:49.2503810Z 2025-08-14T21:35:49.2503910Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2504116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2504183Z return mod(*inputs) 2025-08-14T21:35:49.2504404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2504484Z x = self.forward_features(x) 2025-08-14T21:35:49.2504728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2504800Z x = self.blocks(x) 2025-08-14T21:35:49.2505029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2505091Z x = self.se(x) 2025-08-14T21:35:49.2505324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2505396Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2505400Z 2025-08-14T21:35:49.2505504Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2505711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2505774Z return mod(*inputs) 2025-08-14T21:35:49.2505985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2506062Z x = self.forward_features(x) 2025-08-14T21:35:49.2506292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2506358Z x = self.blocks(x) 2025-08-14T21:35:49.2506579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2506638Z x = self.se(x) 2025-08-14T21:35:49.2506865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2506931Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2506937Z 2025-08-14T21:35:49.2507045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2507239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2507302Z return mod(*inputs) 2025-08-14T21:35:49.2507516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2507585Z x = self.forward_features(x) 2025-08-14T21:35:49.2507812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2507880Z x = self.blocks(x) 2025-08-14T21:35:49.2508101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2508197Z x = self.se(x) 2025-08-14T21:35:49.2508420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2508533Z return x * self.gate(x_se) 2025-08-14T21:35:49.2508537Z 2025-08-14T21:35:49.2508644Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2508839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2508902Z return mod(*inputs) 2025-08-14T21:35:49.2509118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2509187Z x = self.forward_features(x) 2025-08-14T21:35:49.2509423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2509484Z x = self.blocks(x) 2025-08-14T21:35:49.2509705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2509774Z x = self.se(x) 2025-08-14T21:35:49.2509995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2510065Z return x * self.gate(x_se) 2025-08-14T21:35:49.2510069Z 2025-08-14T21:35:49.2510178Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2510377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2510447Z return mod(*inputs) 2025-08-14T21:35:49.2510654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2510723Z x = self.forward_features(x) 2025-08-14T21:35:49.2510959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2511020Z x = self.blocks(x) 2025-08-14T21:35:49.2511243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2511311Z x = self.se(x) 2025-08-14T21:35:49.2511532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2511606Z return x * self.gate(x_se) 2025-08-14T21:35:49.2511610Z 2025-08-14T21:35:49.2511687Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2511787Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2512024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2512087Z return mod(*inputs) 2025-08-14T21:35:49.2512292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2512368Z x = self.forward_features(x) 2025-08-14T21:35:49.2512596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2512666Z x = self.blocks(x) 2025-08-14T21:35:49.2512890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2512957Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2513168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2513281Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2513493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2513593Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2513596Z 2025-08-14T21:35:49.2513694Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2513892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2513993Z return mod(*inputs) 2025-08-14T21:35:49.2514236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2514316Z x = self.forward_features(x) 2025-08-14T21:35:49.2514551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2514620Z x = self.blocks(x) 2025-08-14T21:35:49.2514845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2514911Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2515120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2515222Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2515437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2515547Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2515550Z 2025-08-14T21:35:49.2515632Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2515740Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2515939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2516002Z return mod(*inputs) 2025-08-14T21:35:49.2516220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2516293Z x = self.forward_features(x) 2025-08-14T21:35:49.2516548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2516620Z x = self.blocks(x) 2025-08-14T21:35:49.2516857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2516939Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2517173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2517280Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2517513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2517618Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2517621Z 2025-08-14T21:35:49.2517735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2517953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2518031Z return mod(*inputs) 2025-08-14T21:35:49.2518503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2518582Z x = self.forward_features(x) 2025-08-14T21:35:49.2518823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2518897Z x = self.blocks(x) 2025-08-14T21:35:49.2519128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2519203Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2519407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2519508Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2519730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2519831Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2519835Z 2025-08-14T21:35:49.2519922Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2520003Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2520208Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2520463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2520530Z return mod(*inputs) 2025-08-14T21:35:49.2520741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2520820Z x = self.forward_features(x) 2025-08-14T21:35:49.2521050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2521114Z x = self.blocks(x) 2025-08-14T21:35:49.2521349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2521417Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2521629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2521700Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2521704Z 2025-08-14T21:35:49.2521807Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2522013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2522076Z return mod(*inputs) 2025-08-14T21:35:49.2522289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2522369Z x = self.forward_features(x) 2025-08-14T21:35:49.2522593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2522663Z x = self.blocks(x) 2025-08-14T21:35:49.2522880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:35:49.2522953Z x = self.drop_path(x) + shortcut 2025-08-14T21:35:49.2522956Z 2025-08-14T21:35:49.2523062Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2523254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2523326Z return mod(*inputs) 2025-08-14T21:35:49.2523526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2523593Z x = self.forward_features(x) 2025-08-14T21:35:49.2523823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2523883Z x = self.blocks(x) 2025-08-14T21:35:49.2524097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2524166Z x = self.bn1(x) 2025-08-14T21:35:49.2524363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2524430Z x = self.act(x) 2025-08-14T21:35:49.2524436Z 2025-08-14T21:35:49.2524534Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2524731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2524805Z return mod(*inputs) 2025-08-14T21:35:49.2525016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2525084Z x = self.forward_features(x) 2025-08-14T21:35:49.2525320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2525383Z x = self.blocks(x) 2025-08-14T21:35:49.2525611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2525671Z x = self.bn1(x) 2025-08-14T21:35:49.2525866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2525979Z x = self.act(x) 2025-08-14T21:35:49.2525982Z 2025-08-14T21:35:49.2526084Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2526315Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2526380Z return mod(*inputs) 2025-08-14T21:35:49.2526585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2526660Z x = self.forward_features(x) 2025-08-14T21:35:49.2526889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2526951Z x = self.blocks(x) 2025-08-14T21:35:49.2527180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2527243Z x = self.conv_dw(x) 2025-08-14T21:35:49.2527452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2527557Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2527770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2527877Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2527880Z 2025-08-14T21:35:49.2527980Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2528174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2528246Z return mod(*inputs) 2025-08-14T21:35:49.2528453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2528527Z x = self.forward_features(x) 2025-08-14T21:35:49.2528755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2528820Z x = self.blocks(x) 2025-08-14T21:35:49.2529048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2529113Z x = self.conv_dw(x) 2025-08-14T21:35:49.2529314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2529420Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2529643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2529753Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2529757Z 2025-08-14T21:35:49.2529864Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2530072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2530147Z return mod(*inputs) 2025-08-14T21:35:49.2530371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2530457Z x = self.forward_features(x) 2025-08-14T21:35:49.2530777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2530850Z x = self.blocks(x) 2025-08-14T21:35:49.2531100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2531169Z x = self.conv_dw(x) 2025-08-14T21:35:49.2531388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2531504Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2531735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2531854Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2531889Z 2025-08-14T21:35:49.2531993Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2532217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2532292Z return mod(*inputs) 2025-08-14T21:35:49.2532502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2532572Z x = self.forward_features(x) 2025-08-14T21:35:49.2532816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2532879Z x = self.blocks(x) 2025-08-14T21:35:49.2533111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2533175Z x = self.conv_dw(x) 2025-08-14T21:35:49.2533378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2533492Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2533710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2533808Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2533820Z 2025-08-14T21:35:49.2533924Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2534116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2534186Z return mod(*inputs) 2025-08-14T21:35:49.2534393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2534461Z x = self.forward_features(x) 2025-08-14T21:35:49.2534701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2534763Z x = self.blocks(x) 2025-08-14T21:35:49.2534997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2535063Z x = self.conv_dw(x) 2025-08-14T21:35:49.2535271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2535376Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2535586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2535685Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2535696Z 2025-08-14T21:35:49.2536393Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2536586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2536657Z return mod(*inputs) 2025-08-14T21:35:49.2536870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2536941Z x = self.forward_features(x) 2025-08-14T21:35:49.2537186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2537247Z x = self.blocks(x) 2025-08-14T21:35:49.2537476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2537540Z x = self.conv_dw(x) 2025-08-14T21:35:49.2537742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2537847Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2538058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2538153Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2538190Z 2025-08-14T21:35:49.2538276Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2538362Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2538464Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2538574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2538770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2538833Z return mod(*inputs) 2025-08-14T21:35:49.2539053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2539122Z x = self.forward_features(x) 2025-08-14T21:35:49.2539353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2539422Z x = self.blocks(x) 2025-08-14T21:35:49.2539644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2539716Z x = self.conv_dw(x) 2025-08-14T21:35:49.2539919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2539987Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2539990Z 2025-08-14T21:35:49.2540076Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2540181Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2540386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2540460Z return mod(*inputs) 2025-08-14T21:35:49.2540681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2540760Z x = self.forward_features(x) 2025-08-14T21:35:49.2541001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2541061Z x = self.blocks(x) 2025-08-14T21:35:49.2541298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2541358Z x = self.se(x) 2025-08-14T21:35:49.2541584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:35:49.2541667Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:35:49.2541670Z 2025-08-14T21:35:49.2541771Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2541974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2542037Z return mod(*inputs) 2025-08-14T21:35:49.2542246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2542322Z x = self.forward_features(x) 2025-08-14T21:35:49.2542555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2542631Z x = self.blocks(x) 2025-08-14T21:35:49.2542855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2542915Z x = self.se(x) 2025-08-14T21:35:49.2543147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2543212Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2543216Z 2025-08-14T21:35:49.2543316Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2543517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2543582Z return mod(*inputs) 2025-08-14T21:35:49.2543799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2543867Z x = self.forward_features(x) 2025-08-14T21:35:49.2544099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2544201Z x = self.blocks(x) 2025-08-14T21:35:49.2544467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2544525Z x = self.se(x) 2025-08-14T21:35:49.2544754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2544820Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2544823Z 2025-08-14T21:35:49.2544931Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2545124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2545188Z return mod(*inputs) 2025-08-14T21:35:49.2545404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2545471Z x = self.forward_features(x) 2025-08-14T21:35:49.2545705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2545778Z x = self.blocks(x) 2025-08-14T21:35:49.2546001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2546066Z x = self.se(x) 2025-08-14T21:35:49.2546285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2546353Z return x * self.gate(x_se) 2025-08-14T21:35:49.2546356Z 2025-08-14T21:35:49.2546465Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2546658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2546729Z return mod(*inputs) 2025-08-14T21:35:49.2546935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2547006Z x = self.forward_features(x) 2025-08-14T21:35:49.2547246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2547306Z x = self.blocks(x) 2025-08-14T21:35:49.2547528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2547595Z x = self.se(x) 2025-08-14T21:35:49.2547819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2547893Z return x * self.gate(x_se) 2025-08-14T21:35:49.2547896Z 2025-08-14T21:35:49.2547993Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2548186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2548256Z return mod(*inputs) 2025-08-14T21:35:49.2548465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2548536Z x = self.forward_features(x) 2025-08-14T21:35:49.2548787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2548853Z x = self.blocks(x) 2025-08-14T21:35:49.2549097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2549161Z x = self.se(x) 2025-08-14T21:35:49.2549392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2549469Z return x * self.gate(x_se) 2025-08-14T21:35:49.2549472Z 2025-08-14T21:35:49.2549588Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2549779Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2549849Z return mod(*inputs) 2025-08-14T21:35:49.2550824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2550944Z x = self.forward_features(x) 2025-08-14T21:35:49.2551194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2551260Z x = self.blocks(x) 2025-08-14T21:35:49.2551502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2551572Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2551575Z 2025-08-14T21:35:49.2551687Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2551892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2551960Z return mod(*inputs) 2025-08-14T21:35:49.2552186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2552263Z x = self.forward_features(x) 2025-08-14T21:35:49.2552509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2552583Z x = self.blocks(x) 2025-08-14T21:35:49.2552818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2552893Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2552896Z 2025-08-14T21:35:49.2553001Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2553205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2553278Z return mod(*inputs) 2025-08-14T21:35:49.2553498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2553568Z x = self.forward_features(x) 2025-08-14T21:35:49.2553818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2553885Z x = self.blocks(x) 2025-08-14T21:35:49.2554129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2554195Z x = self.conv_pw(x) 2025-08-14T21:35:49.2554411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2554525Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2554752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2554861Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2554872Z 2025-08-14T21:35:49.2554978Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2555182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2555258Z return mod(*inputs) 2025-08-14T21:35:49.2555480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2555551Z x = self.forward_features(x) 2025-08-14T21:35:49.2555805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2555869Z x = self.blocks(x) 2025-08-14T21:35:49.2556105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2556178Z x = self.conv_pw(x) 2025-08-14T21:35:49.2556394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2556508Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2556732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2556878Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2556882Z 2025-08-14T21:35:49.2557028Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2557233Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2557309Z return mod(*inputs) 2025-08-14T21:35:49.2557528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2557600Z x = self.forward_features(x) 2025-08-14T21:35:49.2557852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2557916Z x = self.blocks(x) 2025-08-14T21:35:49.2558151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2558224Z x = self.conv_pw(x) 2025-08-14T21:35:49.2558441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2558556Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2558778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2558881Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2558884Z 2025-08-14T21:35:49.2558997Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2559204Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2559278Z return mod(*inputs) 2025-08-14T21:35:49.2559496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2559568Z x = self.forward_features(x) 2025-08-14T21:35:49.2559820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2559887Z x = self.blocks(x) 2025-08-14T21:35:49.2560123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2560197Z x = self.conv_pw(x) 2025-08-14T21:35:49.2560409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2560519Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2560742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2560844Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2560847Z 2025-08-14T21:35:49.2560937Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2561020Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2561125Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2561341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2561409Z return mod(*inputs) 2025-08-14T21:35:49.2561638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2561711Z x = self.forward_features(x) 2025-08-14T21:35:49.2561952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2562025Z x = self.blocks(x) 2025-08-14T21:35:49.2562258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2562324Z x = self.conv_pw(x) 2025-08-14T21:35:49.2562547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2562617Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2562660Z 2025-08-14T21:35:49.2562775Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2563018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2563086Z return mod(*inputs) 2025-08-14T21:35:49.2563318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2563391Z x = self.forward_features(x) 2025-08-14T21:35:49.2563638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2563711Z x = self.blocks(x) 2025-08-14T21:35:49.2563947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2564022Z x = self.bn1(x) 2025-08-14T21:35:49.2564238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:35:49.2564309Z x = F.batch_norm( 2025-08-14T21:35:49.2564313Z 2025-08-14T21:35:49.2564431Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2564647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2564717Z return mod(*inputs) 2025-08-14T21:35:49.2564953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2565028Z x = self.forward_features(x) 2025-08-14T21:35:49.2565288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2565354Z x = self.blocks(x) 2025-08-14T21:35:49.2565598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2565670Z x = self.bn1(x) 2025-08-14T21:35:49.2565887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2565961Z x = self.act(x) 2025-08-14T21:35:49.2565965Z 2025-08-14T21:35:49.2566049Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2566160Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2566380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2566450Z return mod(*inputs) 2025-08-14T21:35:49.2566678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2566760Z x = self.forward_features(x) 2025-08-14T21:35:49.2567014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2567087Z x = self.blocks(x) 2025-08-14T21:35:49.2567333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2567403Z x = self.conv_dw(x) 2025-08-14T21:35:49.2567634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2567748Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2567981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2568097Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2568101Z 2025-08-14T21:35:49.2568210Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2568431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2568500Z return mod(*inputs) 2025-08-14T21:35:49.2568725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2568809Z x = self.forward_features(x) 2025-08-14T21:35:49.2569062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2569162Z x = self.blocks(x) 2025-08-14T21:35:49.2569456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2569528Z x = self.conv_dw(x) 2025-08-14T21:35:49.2569758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2569866Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2570098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2570216Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2570219Z 2025-08-14T21:35:49.2570306Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2570425Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2570724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2570799Z return mod(*inputs) 2025-08-14T21:35:49.2571041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2571116Z x = self.forward_features(x) 2025-08-14T21:35:49.2571370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2571447Z x = self.blocks(x) 2025-08-14T21:35:49.2571691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2571769Z x = self.conv_dw(x) 2025-08-14T21:35:49.2571999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2572104Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2572343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2572447Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2572454Z 2025-08-14T21:35:49.2572562Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2572775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2572844Z return mod(*inputs) 2025-08-14T21:35:49.2573071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2573151Z x = self.forward_features(x) 2025-08-14T21:35:49.2573404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2573468Z x = self.blocks(x) 2025-08-14T21:35:49.2573711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2573780Z x = self.conv_dw(x) 2025-08-14T21:35:49.2574003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2574114Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2574336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2574438Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2574449Z 2025-08-14T21:35:49.2574532Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2574640Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2574851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2574920Z return mod(*inputs) 2025-08-14T21:35:49.2575138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2575263Z x = self.forward_features(x) 2025-08-14T21:35:49.2575545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2575617Z x = self.blocks(x) 2025-08-14T21:35:49.2575853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2575920Z x = self.conv_dw(x) 2025-08-14T21:35:49.2576140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2576242Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2576468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2576582Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2576585Z 2025-08-14T21:35:49.2576693Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2576907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2576978Z return mod(*inputs) 2025-08-14T21:35:49.2577199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2577283Z x = self.forward_features(x) 2025-08-14T21:35:49.2577534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2577602Z x = self.blocks(x) 2025-08-14T21:35:49.2577867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2577933Z x = self.conv_dw(x) 2025-08-14T21:35:49.2578154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2578257Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2578484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2578599Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2578603Z 2025-08-14T21:35:49.2578686Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2578799Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2579006Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2579072Z return mod(*inputs) 2025-08-14T21:35:49.2579297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2579370Z x = self.forward_features(x) 2025-08-14T21:35:49.2579617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2579689Z x = self.blocks(x) 2025-08-14T21:35:49.2579929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2580000Z x = self.conv_dw(x) 2025-08-14T21:35:49.2580217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2580321Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2580560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2580663Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2580666Z 2025-08-14T21:35:49.2580772Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2581028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2581094Z return mod(*inputs) 2025-08-14T21:35:49.2581320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2581427Z x = self.forward_features(x) 2025-08-14T21:35:49.2581701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2581778Z x = self.blocks(x) 2025-08-14T21:35:49.2582015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2582082Z x = self.conv_dw(x) 2025-08-14T21:35:49.2582303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2582405Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2582643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2582746Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2582752Z 2025-08-14T21:35:49.2582834Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2582925Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2583004Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2583085Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2583198Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2583413Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2583488Z return mod(*inputs) 2025-08-14T21:35:49.2583708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2583780Z x = self.forward_features(x) 2025-08-14T21:35:49.2584038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2584103Z x = self.blocks(x) 2025-08-14T21:35:49.2584340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2584417Z x = self.conv_dw(x) 2025-08-14T21:35:49.2584634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2584712Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2584716Z 2025-08-14T21:35:49.2584797Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2584904Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2585119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2585186Z return mod(*inputs) 2025-08-14T21:35:49.2585417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2585489Z x = self.forward_features(x) 2025-08-14T21:35:49.2585735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2585813Z x = self.blocks(x) 2025-08-14T21:35:49.2586052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2586120Z x = self.se(x) 2025-08-14T21:35:49.2586366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:35:49.2586445Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:35:49.2586448Z 2025-08-14T21:35:49.2586561Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2586776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2586841Z return mod(*inputs) 2025-08-14T21:35:49.2587069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2587142Z x = self.forward_features(x) 2025-08-14T21:35:49.2587384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2587518Z x = self.blocks(x) 2025-08-14T21:35:49.2587794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2587876Z x = self.se(x) 2025-08-14T21:35:49.2588096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2588163Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2588166Z 2025-08-14T21:35:49.2588273Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2588466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2588530Z return mod(*inputs) 2025-08-14T21:35:49.2588747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2588814Z x = self.forward_features(x) 2025-08-14T21:35:49.2589056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2589117Z x = self.blocks(x) 2025-08-14T21:35:49.2589345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2589413Z x = self.se(x) 2025-08-14T21:35:49.2589633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2589701Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2589712Z 2025-08-14T21:35:49.2589813Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2590006Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2590077Z return mod(*inputs) 2025-08-14T21:35:49.2590285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2590358Z x = self.forward_features(x) 2025-08-14T21:35:49.2590596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2590661Z x = self.blocks(x) 2025-08-14T21:35:49.2590890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2590949Z x = self.se(x) 2025-08-14T21:35:49.2591170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2591247Z return x * self.gate(x_se) 2025-08-14T21:35:49.2591250Z 2025-08-14T21:35:49.2591349Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2591541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2591612Z return mod(*inputs) 2025-08-14T21:35:49.2591826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2591903Z x = self.forward_features(x) 2025-08-14T21:35:49.2592135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2592196Z x = self.blocks(x) 2025-08-14T21:35:49.2592426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2592483Z x = self.se(x) 2025-08-14T21:35:49.2592701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2592776Z return x * self.gate(x_se) 2025-08-14T21:35:49.2592779Z 2025-08-14T21:35:49.2592878Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2593077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2593141Z return mod(*inputs) 2025-08-14T21:35:49.2593388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2593464Z x = self.forward_features(x) 2025-08-14T21:35:49.2593721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2593783Z x = self.blocks(x) 2025-08-14T21:35:49.2594016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2594077Z x = self.se(x) 2025-08-14T21:35:49.2594311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2594381Z return x * self.gate(x_se) 2025-08-14T21:35:49.2594385Z 2025-08-14T21:35:49.2594467Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2594578Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2594781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2594850Z return mod(*inputs) 2025-08-14T21:35:49.2595080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2595151Z x = self.forward_features(x) 2025-08-14T21:35:49.2595401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2595465Z x = self.blocks(x) 2025-08-14T21:35:49.2595699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2595779Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2595996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2596111Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2596328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2596431Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2596438Z 2025-08-14T21:35:49.2596546Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2596747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2596813Z return mod(*inputs) 2025-08-14T21:35:49.2597040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2597111Z x = self.forward_features(x) 2025-08-14T21:35:49.2597361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2597429Z x = self.blocks(x) 2025-08-14T21:35:49.2597664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2597745Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2597967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2598070Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2598290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2598389Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2598393Z 2025-08-14T21:35:49.2598479Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2598580Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2598772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2598844Z return mod(*inputs) 2025-08-14T21:35:49.2599051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2599149Z x = self.forward_features(x) 2025-08-14T21:35:49.2599397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2599488Z x = self.blocks(x) 2025-08-14T21:35:49.2599720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2599787Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2599991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2600100Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2600312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2600417Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2600420Z 2025-08-14T21:35:49.2600520Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2600717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2600788Z return mod(*inputs) 2025-08-14T21:35:49.2600997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2601065Z x = self.forward_features(x) 2025-08-14T21:35:49.2601303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2601365Z x = self.blocks(x) 2025-08-14T21:35:49.2601593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2601656Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2601859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2601964Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2602181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2602280Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2602291Z 2025-08-14T21:35:49.2602371Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2602448Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2602555Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2602748Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2602812Z return mod(*inputs) 2025-08-14T21:35:49.2603028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2603098Z x = self.forward_features(x) 2025-08-14T21:35:49.2603324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2603397Z x = self.blocks(x) 2025-08-14T21:35:49.2603620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2603696Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2603900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2603966Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2603969Z 2025-08-14T21:35:49.2604075Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2604269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2604340Z return mod(*inputs) 2025-08-14T21:35:49.2604548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2604620Z x = self.forward_features(x) 2025-08-14T21:35:49.2604871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2604967Z x = self.blocks(x) 2025-08-14T21:35:49.2605275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:35:49.2605363Z x = self.drop_path(x) + shortcut 2025-08-14T21:35:49.2605367Z 2025-08-14T21:35:49.2605470Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2605685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2605752Z return mod(*inputs) 2025-08-14T21:35:49.2605974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2606052Z x = self.forward_features(x) 2025-08-14T21:35:49.2606298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2606361Z x = self.blocks(x) 2025-08-14T21:35:49.2606611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2606676Z x = self.conv_pw(x) 2025-08-14T21:35:49.2606902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2607008Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2607239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2607352Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2607356Z 2025-08-14T21:35:49.2607461Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2607677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2607746Z return mod(*inputs) 2025-08-14T21:35:49.2607966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2608049Z x = self.forward_features(x) 2025-08-14T21:35:49.2608302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2608368Z x = self.blocks(x) 2025-08-14T21:35:49.2608613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2608680Z x = self.conv_pw(x) 2025-08-14T21:35:49.2608901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2609006Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2609232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2609342Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2609345Z 2025-08-14T21:35:49.2609454Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2609656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2609735Z return mod(*inputs) 2025-08-14T21:35:49.2609954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2610034Z x = self.forward_features(x) 2025-08-14T21:35:49.2610279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2610344Z x = self.blocks(x) 2025-08-14T21:35:49.2610859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2610940Z x = self.conv_pw(x) 2025-08-14T21:35:49.2611163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2611326Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2611559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2611711Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2611715Z 2025-08-14T21:35:49.2611826Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2612039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2612119Z return mod(*inputs) 2025-08-14T21:35:49.2612345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2612440Z x = self.forward_features(x) 2025-08-14T21:35:49.2612684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2612747Z x = self.blocks(x) 2025-08-14T21:35:49.2613001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2613067Z x = self.conv_pw(x) 2025-08-14T21:35:49.2613284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2613397Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2613622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2613733Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2613737Z 2025-08-14T21:35:49.2613819Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2613901Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2614014Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2614216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2614285Z return mod(*inputs) 2025-08-14T21:35:49.2614515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2614590Z x = self.forward_features(x) 2025-08-14T21:35:49.2614840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2614905Z x = self.blocks(x) 2025-08-14T21:35:49.2615141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2615214Z x = self.conv_pw(x) 2025-08-14T21:35:49.2615427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2615495Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2615499Z 2025-08-14T21:35:49.2615612Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2615817Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2615892Z return mod(*inputs) 2025-08-14T21:35:49.2616113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2616187Z x = self.forward_features(x) 2025-08-14T21:35:49.2616439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2616505Z x = self.blocks(x) 2025-08-14T21:35:49.2616743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2616813Z x = self.bn1(x) 2025-08-14T21:35:49.2617023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:35:49.2617097Z x = F.batch_norm( 2025-08-14T21:35:49.2617101Z 2025-08-14T21:35:49.2617206Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2617458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2617534Z return mod(*inputs) 2025-08-14T21:35:49.2617793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2617875Z x = self.forward_features(x) 2025-08-14T21:35:49.2618122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2618187Z x = self.blocks(x) 2025-08-14T21:35:49.2618578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2618648Z x = self.bn1(x) 2025-08-14T21:35:49.2618860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2618934Z x = self.act(x) 2025-08-14T21:35:49.2618938Z 2025-08-14T21:35:49.2619021Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2619139Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2619350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2619418Z return mod(*inputs) 2025-08-14T21:35:49.2619646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2619719Z x = self.forward_features(x) 2025-08-14T21:35:49.2619964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2620039Z x = self.blocks(x) 2025-08-14T21:35:49.2620272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2620347Z x = self.conv_dw(x) 2025-08-14T21:35:49.2620566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2620678Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2620914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2621019Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2621022Z 2025-08-14T21:35:49.2621126Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2621351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2621417Z return mod(*inputs) 2025-08-14T21:35:49.2621640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2621712Z x = self.forward_features(x) 2025-08-14T21:35:49.2621958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2622029Z x = self.blocks(x) 2025-08-14T21:35:49.2622264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2622329Z x = self.conv_dw(x) 2025-08-14T21:35:49.2622553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2622656Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2622887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2622988Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2622991Z 2025-08-14T21:35:49.2623072Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2623186Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2623400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2623473Z return mod(*inputs) 2025-08-14T21:35:49.2623774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2623848Z x = self.forward_features(x) 2025-08-14T21:35:49.2624149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2624217Z x = self.blocks(x) 2025-08-14T21:35:49.2624467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2624543Z x = self.conv_dw(x) 2025-08-14T21:35:49.2624759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2624875Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2625102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2625206Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2625212Z 2025-08-14T21:35:49.2625329Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2625545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2625613Z return mod(*inputs) 2025-08-14T21:35:49.2625839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2625912Z x = self.forward_features(x) 2025-08-14T21:35:49.2626174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2626237Z x = self.blocks(x) 2025-08-14T21:35:49.2626461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2626534Z x = self.conv_dw(x) 2025-08-14T21:35:49.2626736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2626836Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2627057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2627155Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2627159Z 2025-08-14T21:35:49.2627246Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2627348Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2627542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2627616Z return mod(*inputs) 2025-08-14T21:35:49.2627821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2627900Z x = self.forward_features(x) 2025-08-14T21:35:49.2628131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2628197Z x = self.blocks(x) 2025-08-14T21:35:49.2628439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2628501Z x = self.conv_dw(x) 2025-08-14T21:35:49.2628702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2628810Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2629020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2629124Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2629127Z 2025-08-14T21:35:49.2629228Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2629422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2629529Z return mod(*inputs) 2025-08-14T21:35:49.2629742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2629841Z x = self.forward_features(x) 2025-08-14T21:35:49.2630092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2630158Z x = self.blocks(x) 2025-08-14T21:35:49.2630405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2630470Z x = self.conv_dw(x) 2025-08-14T21:35:49.2630682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2630794Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2631024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2631137Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2631140Z 2025-08-14T21:35:49.2631222Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2631331Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2631545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2631611Z return mod(*inputs) 2025-08-14T21:35:49.2631829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2631909Z x = self.forward_features(x) 2025-08-14T21:35:49.2632152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2632224Z x = self.blocks(x) 2025-08-14T21:35:49.2632458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2632528Z x = self.conv_dw(x) 2025-08-14T21:35:49.2632747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2632852Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2633077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2633188Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2633192Z 2025-08-14T21:35:49.2633296Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2633506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2633581Z return mod(*inputs) 2025-08-14T21:35:49.2633786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2633860Z x = self.forward_features(x) 2025-08-14T21:35:49.2634089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2634154Z x = self.blocks(x) 2025-08-14T21:35:49.2634382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2634444Z x = self.conv_dw(x) 2025-08-14T21:35:49.2634650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2634749Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2634959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2635063Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2635066Z 2025-08-14T21:35:49.2635143Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2635224Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2635333Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2635409Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2635517Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2635747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2635813Z return mod(*inputs) 2025-08-14T21:35:49.2636029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2636099Z x = self.forward_features(x) 2025-08-14T21:35:49.2636337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2636398Z x = self.blocks(x) 2025-08-14T21:35:49.2636619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2636689Z x = self.conv_dw(x) 2025-08-14T21:35:49.2636888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2636957Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2636960Z 2025-08-14T21:35:49.2637046Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2637145Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2637343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2637406Z return mod(*inputs) 2025-08-14T21:35:49.2637613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2637691Z x = self.forward_features(x) 2025-08-14T21:35:49.2637921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2637982Z x = self.blocks(x) 2025-08-14T21:35:49.2638211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2638274Z x = self.se(x) 2025-08-14T21:35:49.2638505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:35:49.2638579Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:35:49.2638583Z 2025-08-14T21:35:49.2638683Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2638884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2638947Z return mod(*inputs) 2025-08-14T21:35:49.2639151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2639229Z x = self.forward_features(x) 2025-08-14T21:35:49.2639459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2639528Z x = self.blocks(x) 2025-08-14T21:35:49.2639749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2639816Z x = self.se(x) 2025-08-14T21:35:49.2640046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2640113Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2640116Z 2025-08-14T21:35:49.2640215Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2640419Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2640483Z return mod(*inputs) 2025-08-14T21:35:49.2640698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2640770Z x = self.forward_features(x) 2025-08-14T21:35:49.2641013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2641123Z x = self.blocks(x) 2025-08-14T21:35:49.2641372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2641460Z x = self.se(x) 2025-08-14T21:35:49.2641685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2641750Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2641754Z 2025-08-14T21:35:49.2641860Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2642064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2642130Z return mod(*inputs) 2025-08-14T21:35:49.2642356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2642426Z x = self.forward_features(x) 2025-08-14T21:35:49.2642673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2642740Z x = self.blocks(x) 2025-08-14T21:35:49.2642982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2643052Z x = self.se(x) 2025-08-14T21:35:49.2643290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2643362Z return x * self.gate(x_se) 2025-08-14T21:35:49.2643366Z 2025-08-14T21:35:49.2643480Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2643692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2643765Z return mod(*inputs) 2025-08-14T21:35:49.2643981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2644053Z x = self.forward_features(x) 2025-08-14T21:35:49.2644301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2644369Z x = self.blocks(x) 2025-08-14T21:35:49.2644612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2644684Z x = self.se(x) 2025-08-14T21:35:49.2644915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2644993Z return x * self.gate(x_se) 2025-08-14T21:35:49.2644997Z 2025-08-14T21:35:49.2645100Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2645311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2645385Z return mod(*inputs) 2025-08-14T21:35:49.2645603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2645676Z x = self.forward_features(x) 2025-08-14T21:35:49.2645937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2646005Z x = self.blocks(x) 2025-08-14T21:35:49.2646252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2646315Z x = self.se(x) 2025-08-14T21:35:49.2646551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2646632Z return x * self.gate(x_se) 2025-08-14T21:35:49.2646636Z 2025-08-14T21:35:49.2646719Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2646833Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2647050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2647118Z return mod(*inputs) 2025-08-14T21:35:49.2647351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2647463Z x = self.forward_features(x) 2025-08-14T21:35:49.2647754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2647828Z x = self.blocks(x) 2025-08-14T21:35:49.2648078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2648157Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2648378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2648488Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2648728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2648837Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2648844Z 2025-08-14T21:35:49.2648951Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2649178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2649246Z return mod(*inputs) 2025-08-14T21:35:49.2649476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2649550Z x = self.forward_features(x) 2025-08-14T21:35:49.2649797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2649871Z x = self.blocks(x) 2025-08-14T21:35:49.2650118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2650188Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2650417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2650531Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2650858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2650970Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2650975Z 2025-08-14T21:35:49.2651059Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2651176Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2651387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2651466Z return mod(*inputs) 2025-08-14T21:35:49.2651701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2651774Z x = self.forward_features(x) 2025-08-14T21:35:49.2652025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2652095Z x = self.blocks(x) 2025-08-14T21:35:49.2652334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2652413Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2652627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2652740Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2652963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2653068Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2653071Z 2025-08-14T21:35:49.2653184Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2653389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2653458Z return mod(*inputs) 2025-08-14T21:35:49.2653731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2653840Z x = self.forward_features(x) 2025-08-14T21:35:49.2654095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2654162Z x = self.blocks(x) 2025-08-14T21:35:49.2654405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2654487Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2654706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2654814Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2655051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2655161Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2655164Z 2025-08-14T21:35:49.2655259Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2655345Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2655457Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2655676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2655746Z return mod(*inputs) 2025-08-14T21:35:49.2655977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2656053Z x = self.forward_features(x) 2025-08-14T21:35:49.2656303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2656379Z x = self.blocks(x) 2025-08-14T21:35:49.2656617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2656691Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2656914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2656988Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2656992Z 2025-08-14T21:35:49.2657108Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2657313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2657383Z return mod(*inputs) 2025-08-14T21:35:49.2657610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2657686Z x = self.forward_features(x) 2025-08-14T21:35:49.2657935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2658010Z x = self.blocks(x) 2025-08-14T21:35:49.2658247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:35:49.2658338Z x = self.drop_path(x) + shortcut 2025-08-14T21:35:49.2658342Z 2025-08-14T21:35:49.2658454Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2658663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2658741Z return mod(*inputs) 2025-08-14T21:35:49.2658962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2659037Z x = self.forward_features(x) 2025-08-14T21:35:49.2659291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2659360Z x = self.blocks(x) 2025-08-14T21:35:49.2659603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2659671Z x = self.conv_pw(x) 2025-08-14T21:35:49.2659921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2660080Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2660307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2660411Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2660423Z 2025-08-14T21:35:49.2660528Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2660732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2660807Z return mod(*inputs) 2025-08-14T21:35:49.2661029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2661096Z x = self.forward_features(x) 2025-08-14T21:35:49.2661333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2661397Z x = self.blocks(x) 2025-08-14T21:35:49.2661626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2661688Z x = self.conv_pw(x) 2025-08-14T21:35:49.2661887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2661991Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2662203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2662298Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2662301Z 2025-08-14T21:35:49.2662408Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2662605Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2662678Z return mod(*inputs) 2025-08-14T21:35:49.2662886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2662955Z x = self.forward_features(x) 2025-08-14T21:35:49.2663193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2663256Z x = self.blocks(x) 2025-08-14T21:35:49.2663477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2663549Z x = self.conv_pw(x) 2025-08-14T21:35:49.2663750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2663855Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2664066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2664166Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2664170Z 2025-08-14T21:35:49.2664280Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2664470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2664541Z return mod(*inputs) 2025-08-14T21:35:49.2664745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2664814Z x = self.forward_features(x) 2025-08-14T21:35:49.2665049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2665111Z x = self.blocks(x) 2025-08-14T21:35:49.2665331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2665402Z x = self.conv_pw(x) 2025-08-14T21:35:49.2665640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2665781Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2665994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2666092Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2666096Z 2025-08-14T21:35:49.2666182Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2666260Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2666360Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2666587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2666656Z return mod(*inputs) 2025-08-14T21:35:49.2666887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2666963Z x = self.forward_features(x) 2025-08-14T21:35:49.2667213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2667286Z x = self.blocks(x) 2025-08-14T21:35:49.2667533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2667599Z x = self.conv_pw(x) 2025-08-14T21:35:49.2667824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2667892Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2667896Z 2025-08-14T21:35:49.2668008Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2668222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2668289Z return mod(*inputs) 2025-08-14T21:35:49.2668518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2668593Z x = self.forward_features(x) 2025-08-14T21:35:49.2668846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2668911Z x = self.blocks(x) 2025-08-14T21:35:49.2669156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2669228Z x = self.bn1(x) 2025-08-14T21:35:49.2669438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:35:49.2669504Z x = F.batch_norm( 2025-08-14T21:35:49.2669508Z 2025-08-14T21:35:49.2669623Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2669826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2669899Z return mod(*inputs) 2025-08-14T21:35:49.2670121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2670192Z x = self.forward_features(x) 2025-08-14T21:35:49.2670449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2670514Z x = self.blocks(x) 2025-08-14T21:35:49.2670755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2670827Z x = self.bn1(x) 2025-08-14T21:35:49.2671043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2671117Z x = self.act(x) 2025-08-14T21:35:49.2671120Z 2025-08-14T21:35:49.2671201Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2671304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2671520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2671620Z return mod(*inputs) 2025-08-14T21:35:49.2671876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2671960Z x = self.forward_features(x) 2025-08-14T21:35:49.2672205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2672272Z x = self.blocks(x) 2025-08-14T21:35:49.2672496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2672558Z x = self.conv_dw(x) 2025-08-14T21:35:49.2672767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2672870Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2673081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2673189Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2673193Z 2025-08-14T21:35:49.2673296Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2673495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2673558Z return mod(*inputs) 2025-08-14T21:35:49.2673764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2673842Z x = self.forward_features(x) 2025-08-14T21:35:49.2674075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2674143Z x = self.blocks(x) 2025-08-14T21:35:49.2674363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2674425Z x = self.conv_dw(x) 2025-08-14T21:35:49.2674638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2674737Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2674949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2675056Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2675059Z 2025-08-14T21:35:49.2675137Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2675243Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2675436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2675499Z return mod(*inputs) 2025-08-14T21:35:49.2675719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2675790Z x = self.forward_features(x) 2025-08-14T21:35:49.2676038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2676112Z x = self.blocks(x) 2025-08-14T21:35:49.2676348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2676419Z x = self.conv_dw(x) 2025-08-14T21:35:49.2676631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2676735Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2676967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2677069Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2677073Z 2025-08-14T21:35:49.2677185Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2677422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2677501Z return mod(*inputs) 2025-08-14T21:35:49.2677774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2677844Z x = self.forward_features(x) 2025-08-14T21:35:49.2678081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2678152Z x = self.blocks(x) 2025-08-14T21:35:49.2678394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2678468Z x = self.conv_dw(x) 2025-08-14T21:35:49.2678691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2678794Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2679033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2679140Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2679146Z 2025-08-14T21:35:49.2679231Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2679344Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2679550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2679625Z return mod(*inputs) 2025-08-14T21:35:49.2679844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2679916Z x = self.forward_features(x) 2025-08-14T21:35:49.2680169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2680235Z x = self.blocks(x) 2025-08-14T21:35:49.2680473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2680553Z x = self.conv_dw(x) 2025-08-14T21:35:49.2680772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2680886Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2681113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2681219Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2681222Z 2025-08-14T21:35:49.2681335Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2681540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2681614Z return mod(*inputs) 2025-08-14T21:35:49.2681835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2681912Z x = self.forward_features(x) 2025-08-14T21:35:49.2682168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2682235Z x = self.blocks(x) 2025-08-14T21:35:49.2682473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2682550Z x = self.conv_dw(x) 2025-08-14T21:35:49.2682765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2682883Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2683111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2683213Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2683217Z 2025-08-14T21:35:49.2683306Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2683482Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2683721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2683798Z return mod(*inputs) 2025-08-14T21:35:49.2684017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2684097Z x = self.forward_features(x) 2025-08-14T21:35:49.2684340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2684405Z x = self.blocks(x) 2025-08-14T21:35:49.2684648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2684714Z x = self.conv_dw(x) 2025-08-14T21:35:49.2684928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2685042Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2685270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2685379Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2685383Z 2025-08-14T21:35:49.2685487Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2685698Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2685773Z return mod(*inputs) 2025-08-14T21:35:49.2685991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2686070Z x = self.forward_features(x) 2025-08-14T21:35:49.2686310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2686375Z x = self.blocks(x) 2025-08-14T21:35:49.2686620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2686685Z x = self.conv_dw(x) 2025-08-14T21:35:49.2686900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2687011Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2687234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2687341Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2687345Z 2025-08-14T21:35:49.2687426Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2687506Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2687595Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2687673Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2687778Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2687995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2688062Z return mod(*inputs) 2025-08-14T21:35:49.2688288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2688361Z x = self.forward_features(x) 2025-08-14T21:35:49.2688605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2688676Z x = self.blocks(x) 2025-08-14T21:35:49.2688917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2688982Z x = self.conv_dw(x) 2025-08-14T21:35:49.2689202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2689272Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2689275Z 2025-08-14T21:35:49.2689394Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2689501Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2689739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2689816Z return mod(*inputs) 2025-08-14T21:35:49.2690034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2690107Z x = self.forward_features(x) 2025-08-14T21:35:49.2690357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2690421Z x = self.blocks(x) 2025-08-14T21:35:49.2690743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2690813Z x = self.se(x) 2025-08-14T21:35:49.2691047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:35:49.2691139Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:35:49.2691143Z 2025-08-14T21:35:49.2691255Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2691468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2691545Z return mod(*inputs) 2025-08-14T21:35:49.2691769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2691851Z x = self.forward_features(x) 2025-08-14T21:35:49.2692100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2692169Z x = self.blocks(x) 2025-08-14T21:35:49.2692420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2692485Z x = self.se(x) 2025-08-14T21:35:49.2692739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2692818Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2692824Z 2025-08-14T21:35:49.2692931Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2693143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2693216Z return mod(*inputs) 2025-08-14T21:35:49.2693436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2693518Z x = self.forward_features(x) 2025-08-14T21:35:49.2693763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2693838Z x = self.blocks(x) 2025-08-14T21:35:49.2694073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2694139Z x = self.se(x) 2025-08-14T21:35:49.2694377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2694449Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2694452Z 2025-08-14T21:35:49.2694559Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2694768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2694836Z return mod(*inputs) 2025-08-14T21:35:49.2695062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2695134Z x = self.forward_features(x) 2025-08-14T21:35:49.2695374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2695446Z x = self.blocks(x) 2025-08-14T21:35:49.2695690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2695786Z x = self.se(x) 2025-08-14T21:35:49.2696043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2696114Z return x * self.gate(x_se) 2025-08-14T21:35:49.2696117Z 2025-08-14T21:35:49.2696225Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2696432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2696499Z return mod(*inputs) 2025-08-14T21:35:49.2696728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2696799Z x = self.forward_features(x) 2025-08-14T21:35:49.2697050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2697122Z x = self.blocks(x) 2025-08-14T21:35:49.2697360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2697428Z x = self.se(x) 2025-08-14T21:35:49.2697663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2697732Z return x * self.gate(x_se) 2025-08-14T21:35:49.2697735Z 2025-08-14T21:35:49.2697841Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2698035Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2698105Z return mod(*inputs) 2025-08-14T21:35:49.2698311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2698381Z x = self.forward_features(x) 2025-08-14T21:35:49.2698617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2698681Z x = self.blocks(x) 2025-08-14T21:35:49.2698907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2698977Z x = self.se(x) 2025-08-14T21:35:49.2699196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2699271Z return x * self.gate(x_se) 2025-08-14T21:35:49.2699275Z 2025-08-14T21:35:49.2699354Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2699460Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2699672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2699739Z return mod(*inputs) 2025-08-14T21:35:49.2699959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2700040Z x = self.forward_features(x) 2025-08-14T21:35:49.2700286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2700359Z x = self.blocks(x) 2025-08-14T21:35:49.2700596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2700665Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2700890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2700998Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2701229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2701336Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2701340Z 2025-08-14T21:35:49.2701438Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2701637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2701740Z return mod(*inputs) 2025-08-14T21:35:49.2701994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2702072Z x = self.forward_features(x) 2025-08-14T21:35:49.2702306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2702367Z x = self.blocks(x) 2025-08-14T21:35:49.2702599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2702663Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2702872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2702974Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2703188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2703296Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2703299Z 2025-08-14T21:35:49.2703378Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2703484Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2703679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2703741Z return mod(*inputs) 2025-08-14T21:35:49.2703954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2704022Z x = self.forward_features(x) 2025-08-14T21:35:49.2704251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2704318Z x = self.blocks(x) 2025-08-14T21:35:49.2704544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2704618Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2704822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2704921Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2705140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2705238Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2705241Z 2025-08-14T21:35:49.2705339Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2705541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2705605Z return mod(*inputs) 2025-08-14T21:35:49.2705820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2705891Z x = self.forward_features(x) 2025-08-14T21:35:49.2706124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2706198Z x = self.blocks(x) 2025-08-14T21:35:49.2706424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2706490Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2706700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2706800Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2707021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2707120Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2707124Z 2025-08-14T21:35:49.2707201Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2707328Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2707428Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2707659Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2707724Z return mod(*inputs) 2025-08-14T21:35:49.2707930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2708007Z x = self.forward_features(x) 2025-08-14T21:35:49.2708236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2708299Z x = self.blocks(x) 2025-08-14T21:35:49.2708541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2708609Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2708829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2708902Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2708906Z 2025-08-14T21:35:49.2709017Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2709221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2709284Z return mod(*inputs) 2025-08-14T21:35:49.2709489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2709565Z x = self.forward_features(x) 2025-08-14T21:35:49.2709798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2709866Z x = self.blocks(x) 2025-08-14T21:35:49.2710099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:35:49.2710173Z x = self.drop_path(x) + shortcut 2025-08-14T21:35:49.2710181Z 2025-08-14T21:35:49.2710294Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2710504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2710571Z return mod(*inputs) 2025-08-14T21:35:49.2710797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2710869Z x = self.forward_features(x) 2025-08-14T21:35:49.2711118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2711182Z x = self.blocks(x) 2025-08-14T21:35:49.2711428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2711497Z x = self.bn1(x) 2025-08-14T21:35:49.2711693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2711757Z x = self.act(x) 2025-08-14T21:35:49.2711767Z 2025-08-14T21:35:49.2711865Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2712059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2712129Z return mod(*inputs) 2025-08-14T21:35:49.2712334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2712402Z x = self.forward_features(x) 2025-08-14T21:35:49.2712646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2712711Z x = self.blocks(x) 2025-08-14T21:35:49.2712963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2713027Z x = self.bn1(x) 2025-08-14T21:35:49.2713241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2713344Z x = self.act(x) 2025-08-14T21:35:49.2713348Z 2025-08-14T21:35:49.2713456Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2713697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2713774Z return mod(*inputs) 2025-08-14T21:35:49.2713993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2714074Z x = self.forward_features(x) 2025-08-14T21:35:49.2714317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2714382Z x = self.blocks(x) 2025-08-14T21:35:49.2714624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:35:49.2714688Z x = self.bn2(x) 2025-08-14T21:35:49.2714899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2714972Z x = self.act(x) 2025-08-14T21:35:49.2714976Z 2025-08-14T21:35:49.2715086Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2715301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2715367Z return mod(*inputs) 2025-08-14T21:35:49.2715586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2715664Z x = self.forward_features(x) 2025-08-14T21:35:49.2715907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2715972Z x = self.blocks(x) 2025-08-14T21:35:49.2716214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:35:49.2716276Z x = self.bn2(x) 2025-08-14T21:35:49.2716502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2716563Z x = self.act(x) 2025-08-14T21:35:49.2716566Z 2025-08-14T21:35:49.2716651Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2716763Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2716970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2717036Z return mod(*inputs) 2025-08-14T21:35:49.2717263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2717334Z x = self.forward_features(x) 2025-08-14T21:35:49.2717584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2717648Z x = self.blocks(x) 2025-08-14T21:35:49.2717881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2717954Z x = self.se(x) 2025-08-14T21:35:49.2718190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:35:49.2718456Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:35:49.2718470Z 2025-08-14T21:35:49.2718581Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2718789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2718863Z return mod(*inputs) 2025-08-14T21:35:49.2719083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2719156Z x = self.forward_features(x) 2025-08-14T21:35:49.2719408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2719475Z x = self.blocks(x) 2025-08-14T21:35:49.2719791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2719854Z x = self.se(x) 2025-08-14T21:35:49.2720136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2720214Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2720218Z 2025-08-14T21:35:49.2720324Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2720530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2720608Z return mod(*inputs) 2025-08-14T21:35:49.2720826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2720906Z x = self.forward_features(x) 2025-08-14T21:35:49.2721151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2721220Z x = self.blocks(x) 2025-08-14T21:35:49.2721463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2721531Z x = self.se(x) 2025-08-14T21:35:49.2721766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2721845Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2721848Z 2025-08-14T21:35:49.2721952Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2722167Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2722234Z return mod(*inputs) 2025-08-14T21:35:49.2722454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2722536Z x = self.forward_features(x) 2025-08-14T21:35:49.2722780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2722849Z x = self.blocks(x) 2025-08-14T21:35:49.2723098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2723160Z x = self.se(x) 2025-08-14T21:35:49.2723401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2723474Z return x * self.gate(x_se) 2025-08-14T21:35:49.2723477Z 2025-08-14T21:35:49.2723592Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2723790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2723853Z return mod(*inputs) 2025-08-14T21:35:49.2724066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2724134Z x = self.forward_features(x) 2025-08-14T21:35:49.2724368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2724436Z x = self.blocks(x) 2025-08-14T21:35:49.2724660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2724719Z x = self.se(x) 2025-08-14T21:35:49.2724948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2725016Z return x * self.gate(x_se) 2025-08-14T21:35:49.2725020Z 2025-08-14T21:35:49.2725126Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2725318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2725383Z return mod(*inputs) 2025-08-14T21:35:49.2725604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2725716Z x = self.forward_features(x) 2025-08-14T21:35:49.2725969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2726083Z x = self.blocks(x) 2025-08-14T21:35:49.2726317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2726386Z x = self.se(x) 2025-08-14T21:35:49.2726617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2726689Z return x * self.gate(x_se) 2025-08-14T21:35:49.2726692Z 2025-08-14T21:35:49.2726804Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2727016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2727082Z return mod(*inputs) 2025-08-14T21:35:49.2727306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2727381Z x = self.forward_features(x) 2025-08-14T21:35:49.2727633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2727698Z x = self.blocks(x) 2025-08-14T21:35:49.2727936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2728012Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2728016Z 2025-08-14T21:35:49.2728121Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2728324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2728397Z return mod(*inputs) 2025-08-14T21:35:49.2728614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2728692Z x = self.forward_features(x) 2025-08-14T21:35:49.2728935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2728999Z x = self.blocks(x) 2025-08-14T21:35:49.2729239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2729306Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2729310Z 2025-08-14T21:35:49.2729418Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2729630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2729696Z return mod(*inputs) 2025-08-14T21:35:49.2729919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2729988Z x = self.forward_features(x) 2025-08-14T21:35:49.2730226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2730299Z x = self.blocks(x) 2025-08-14T21:35:49.2730547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2730677Z x = self.conv_pw(x) 2025-08-14T21:35:49.2730911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2731022Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2731267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2731378Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2731382Z 2025-08-14T21:35:49.2731490Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2731727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2731791Z return mod(*inputs) 2025-08-14T21:35:49.2732061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2732136Z x = self.forward_features(x) 2025-08-14T21:35:49.2732459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2732532Z x = self.blocks(x) 2025-08-14T21:35:49.2732755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2732819Z x = self.conv_pw(x) 2025-08-14T21:35:49.2733031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2733132Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2733354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2733454Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2733460Z 2025-08-14T21:35:49.2733561Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2733767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2733831Z return mod(*inputs) 2025-08-14T21:35:49.2734049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2734119Z x = self.forward_features(x) 2025-08-14T21:35:49.2734350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2734420Z x = self.blocks(x) 2025-08-14T21:35:49.2734639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2734703Z x = self.conv_pw(x) 2025-08-14T21:35:49.2734913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2735014Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2735235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2735333Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2735337Z 2025-08-14T21:35:49.2735436Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2735637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2735700Z return mod(*inputs) 2025-08-14T21:35:49.2735903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2735980Z x = self.forward_features(x) 2025-08-14T21:35:49.2736210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2736282Z x = self.blocks(x) 2025-08-14T21:35:49.2736503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2736570Z x = self.conv_pw(x) 2025-08-14T21:35:49.2736780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2736878Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2737097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2737193Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2737197Z 2025-08-14T21:35:49.2737276Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2737368Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2737468Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2737658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2737768Z return mod(*inputs) 2025-08-14T21:35:49.2738007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2738084Z x = self.forward_features(x) 2025-08-14T21:35:49.2738316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2738377Z x = self.blocks(x) 2025-08-14T21:35:49.2738606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2738668Z x = self.conv_pw(x) 2025-08-14T21:35:49.2738871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2738948Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2738952Z 2025-08-14T21:35:49.2739054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2739260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2739322Z return mod(*inputs) 2025-08-14T21:35:49.2739532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2739608Z x = self.forward_features(x) 2025-08-14T21:35:49.2739839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2739901Z x = self.blocks(x) 2025-08-14T21:35:49.2740132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2740191Z x = self.bn1(x) 2025-08-14T21:35:49.2740394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:35:49.2740456Z x = F.batch_norm( 2025-08-14T21:35:49.2740459Z 2025-08-14T21:35:49.2740561Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2740766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2740832Z return mod(*inputs) 2025-08-14T21:35:49.2741040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2741116Z x = self.forward_features(x) 2025-08-14T21:35:49.2741345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2741413Z x = self.blocks(x) 2025-08-14T21:35:49.2741636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2741695Z x = self.bn1(x) 2025-08-14T21:35:49.2741899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2741959Z x = self.act(x) 2025-08-14T21:35:49.2741965Z 2025-08-14T21:35:49.2742050Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2742150Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2742350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2742420Z return mod(*inputs) 2025-08-14T21:35:49.2742623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2742690Z x = self.forward_features(x) 2025-08-14T21:35:49.2742925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2742989Z x = self.blocks(x) 2025-08-14T21:35:49.2743217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2743279Z x = self.conv_dw(x) 2025-08-14T21:35:49.2743479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2743624Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2743864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2743964Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2743967Z 2025-08-14T21:35:49.2744074Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2744269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2744338Z return mod(*inputs) 2025-08-14T21:35:49.2744542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2744610Z x = self.forward_features(x) 2025-08-14T21:35:49.2744845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2744908Z x = self.blocks(x) 2025-08-14T21:35:49.2745131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2745199Z x = self.conv_dw(x) 2025-08-14T21:35:49.2745399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2745506Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2745717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2745814Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2745818Z 2025-08-14T21:35:49.2745904Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2746005Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2746206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2746272Z return mod(*inputs) 2025-08-14T21:35:49.2746482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2746559Z x = self.forward_features(x) 2025-08-14T21:35:49.2746791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2746851Z x = self.blocks(x) 2025-08-14T21:35:49.2747086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2747148Z x = self.conv_dw(x) 2025-08-14T21:35:49.2747362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2747460Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2747671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2747778Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2747781Z 2025-08-14T21:35:49.2747883Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2748074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2748144Z return mod(*inputs) 2025-08-14T21:35:49.2748349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2748426Z x = self.forward_features(x) 2025-08-14T21:35:49.2748658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2748720Z x = self.blocks(x) 2025-08-14T21:35:49.2748962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2749027Z x = self.conv_dw(x) 2025-08-14T21:35:49.2749278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2749431Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2749656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2749767Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2749770Z 2025-08-14T21:35:49.2749854Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2749961Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2750190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2750255Z return mod(*inputs) 2025-08-14T21:35:49.2750482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2750554Z x = self.forward_features(x) 2025-08-14T21:35:49.2750799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2750866Z x = self.blocks(x) 2025-08-14T21:35:49.2751092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2751153Z x = self.conv_dw(x) 2025-08-14T21:35:49.2751363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2751461Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2751728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2751837Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2751840Z 2025-08-14T21:35:49.2751946Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2752163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2752233Z return mod(*inputs) 2025-08-14T21:35:49.2752463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2752546Z x = self.forward_features(x) 2025-08-14T21:35:49.2752800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2752873Z x = self.blocks(x) 2025-08-14T21:35:49.2753108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2753174Z x = self.conv_dw(x) 2025-08-14T21:35:49.2753396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2753499Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2753730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2753845Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2753848Z 2025-08-14T21:35:49.2753933Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2754050Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2754264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2754331Z return mod(*inputs) 2025-08-14T21:35:49.2754558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2754631Z x = self.forward_features(x) 2025-08-14T21:35:49.2754889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2754953Z x = self.blocks(x) 2025-08-14T21:35:49.2755191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2755298Z x = self.conv_dw(x) 2025-08-14T21:35:49.2755557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2755661Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2755894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2755996Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2755999Z 2025-08-14T21:35:49.2756113Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2756317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2756384Z return mod(*inputs) 2025-08-14T21:35:49.2756610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2756684Z x = self.forward_features(x) 2025-08-14T21:35:49.2756929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2757003Z x = self.blocks(x) 2025-08-14T21:35:49.2757239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2757310Z x = self.conv_dw(x) 2025-08-14T21:35:49.2757523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2757625Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2757853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2757952Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2757956Z 2025-08-14T21:35:49.2758045Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2758127Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2758207Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2758290Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2758399Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2758604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2758679Z return mod(*inputs) 2025-08-14T21:35:49.2758895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2758967Z x = self.forward_features(x) 2025-08-14T21:35:49.2759218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2759280Z x = self.blocks(x) 2025-08-14T21:35:49.2759524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2759593Z x = self.conv_dw(x) 2025-08-14T21:35:49.2759805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2759885Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2759889Z 2025-08-14T21:35:49.2759969Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2760082Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2760287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2760352Z return mod(*inputs) 2025-08-14T21:35:49.2760579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2760651Z x = self.forward_features(x) 2025-08-14T21:35:49.2760895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2760969Z x = self.blocks(x) 2025-08-14T21:35:49.2761207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2761331Z x = self.se(x) 2025-08-14T21:35:49.2761586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:35:49.2761662Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:35:49.2761666Z 2025-08-14T21:35:49.2761775Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2761971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2762035Z return mod(*inputs) 2025-08-14T21:35:49.2762246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2762316Z x = self.forward_features(x) 2025-08-14T21:35:49.2762551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2762617Z x = self.blocks(x) 2025-08-14T21:35:49.2762836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2762905Z x = self.se(x) 2025-08-14T21:35:49.2763125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2763191Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2763194Z 2025-08-14T21:35:49.2763301Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2763497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2763572Z return mod(*inputs) 2025-08-14T21:35:49.2763782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2763854Z x = self.forward_features(x) 2025-08-14T21:35:49.2764104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2764172Z x = self.blocks(x) 2025-08-14T21:35:49.2764407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2764478Z x = self.se(x) 2025-08-14T21:35:49.2764710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2764786Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2764790Z 2025-08-14T21:35:49.2764896Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2765100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2765175Z return mod(*inputs) 2025-08-14T21:35:49.2765391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2765471Z x = self.forward_features(x) 2025-08-14T21:35:49.2765715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2765784Z x = self.blocks(x) 2025-08-14T21:35:49.2766029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2766093Z x = self.se(x) 2025-08-14T21:35:49.2766326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2766405Z return x * self.gate(x_se) 2025-08-14T21:35:49.2766409Z 2025-08-14T21:35:49.2766514Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2766726Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2766794Z return mod(*inputs) 2025-08-14T21:35:49.2767012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2767130Z x = self.forward_features(x) 2025-08-14T21:35:49.2767373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2767467Z x = self.blocks(x) 2025-08-14T21:35:49.2767708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2767771Z x = self.se(x) 2025-08-14T21:35:49.2768011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2768083Z return x * self.gate(x_se) 2025-08-14T21:35:49.2768086Z 2025-08-14T21:35:49.2768190Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2768404Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2768470Z return mod(*inputs) 2025-08-14T21:35:49.2768687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2768769Z x = self.forward_features(x) 2025-08-14T21:35:49.2769015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2769088Z x = self.blocks(x) 2025-08-14T21:35:49.2769328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2769392Z x = self.se(x) 2025-08-14T21:35:49.2769638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2769710Z return x * self.gate(x_se) 2025-08-14T21:35:49.2769714Z 2025-08-14T21:35:49.2769798Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2769914Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2770124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2770203Z return mod(*inputs) 2025-08-14T21:35:49.2770430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2770507Z x = self.forward_features(x) 2025-08-14T21:35:49.2770843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2770917Z x = self.blocks(x) 2025-08-14T21:35:49.2771160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2771241Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2771461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2771580Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2771814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2771929Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2771932Z 2025-08-14T21:35:49.2772050Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2772270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2772342Z return mod(*inputs) 2025-08-14T21:35:49.2772548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2772617Z x = self.forward_features(x) 2025-08-14T21:35:49.2772855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2772917Z x = self.blocks(x) 2025-08-14T21:35:49.2773137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2773211Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2773412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2773602Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2773876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2773976Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2773980Z 2025-08-14T21:35:49.2774067Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2774167Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2774361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2774436Z return mod(*inputs) 2025-08-14T21:35:49.2774641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2774717Z x = self.forward_features(x) 2025-08-14T21:35:49.2774947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2775013Z x = self.blocks(x) 2025-08-14T21:35:49.2775246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2775311Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2775512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2775619Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2775831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2775937Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2775940Z 2025-08-14T21:35:49.2776044Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2776238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2776313Z return mod(*inputs) 2025-08-14T21:35:49.2776533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2776614Z x = self.forward_features(x) 2025-08-14T21:35:49.2776858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2776924Z x = self.blocks(x) 2025-08-14T21:35:49.2777167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2777238Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2777453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2777566Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2777789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2777900Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2777904Z 2025-08-14T21:35:49.2777989Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2778071Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2778183Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2778398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2778461Z return mod(*inputs) 2025-08-14T21:35:49.2778672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2778741Z x = self.forward_features(x) 2025-08-14T21:35:49.2778980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2779044Z x = self.blocks(x) 2025-08-14T21:35:49.2779278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2779385Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2779803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2779876Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2779889Z 2025-08-14T21:35:49.2779997Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2780204Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2780279Z return mod(*inputs) 2025-08-14T21:35:49.2780501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2780573Z x = self.forward_features(x) 2025-08-14T21:35:49.2780828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2780893Z x = self.blocks(x) 2025-08-14T21:35:49.2781144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:35:49.2781224Z x = self.drop_path(x) + shortcut 2025-08-14T21:35:49.2781227Z 2025-08-14T21:35:49.2781334Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2781550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2781617Z return mod(*inputs) 2025-08-14T21:35:49.2781840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2781921Z x = self.forward_features(x) 2025-08-14T21:35:49.2782168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2782242Z x = self.blocks(x) 2025-08-14T21:35:49.2782481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2782550Z x = self.conv_pw(x) 2025-08-14T21:35:49.2782778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2782884Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2783108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2783220Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2783223Z 2025-08-14T21:35:49.2783329Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2783543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2783608Z return mod(*inputs) 2025-08-14T21:35:49.2783830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2783911Z x = self.forward_features(x) 2025-08-14T21:35:49.2784160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2784236Z x = self.blocks(x) 2025-08-14T21:35:49.2784480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2784545Z x = self.conv_pw(x) 2025-08-14T21:35:49.2784765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2784868Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2785095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2785207Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2785210Z 2025-08-14T21:35:49.2785315Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2785567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2785632Z return mod(*inputs) 2025-08-14T21:35:49.2785886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2785968Z x = self.forward_features(x) 2025-08-14T21:35:49.2786219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2786284Z x = self.blocks(x) 2025-08-14T21:35:49.2786534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2786602Z x = self.conv_pw(x) 2025-08-14T21:35:49.2786830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2786933Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2787164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2787276Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2787280Z 2025-08-14T21:35:49.2787393Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2787600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2787665Z return mod(*inputs) 2025-08-14T21:35:49.2787876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2787951Z x = self.forward_features(x) 2025-08-14T21:35:49.2788186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2788248Z x = self.blocks(x) 2025-08-14T21:35:49.2788484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2788551Z x = self.conv_pw(x) 2025-08-14T21:35:49.2788766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2788864Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2789085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2789192Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2789195Z 2025-08-14T21:35:49.2789275Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2789353Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2789461Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2789657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2789729Z return mod(*inputs) 2025-08-14T21:35:49.2789942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2790017Z x = self.forward_features(x) 2025-08-14T21:35:49.2790269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2790330Z x = self.blocks(x) 2025-08-14T21:35:49.2790559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2790628Z x = self.conv_pw(x) 2025-08-14T21:35:49.2790833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2790907Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2790910Z 2025-08-14T21:35:49.2791013Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2791208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2791280Z return mod(*inputs) 2025-08-14T21:35:49.2791523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2791621Z x = self.forward_features(x) 2025-08-14T21:35:49.2791874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2791936Z x = self.blocks(x) 2025-08-14T21:35:49.2792163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2792222Z x = self.bn1(x) 2025-08-14T21:35:49.2792421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:35:49.2792491Z x = F.batch_norm( 2025-08-14T21:35:49.2792494Z 2025-08-14T21:35:49.2792593Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2792793Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2792858Z return mod(*inputs) 2025-08-14T21:35:49.2793063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2793142Z x = self.forward_features(x) 2025-08-14T21:35:49.2793372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2793433Z x = self.blocks(x) 2025-08-14T21:35:49.2793663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2793724Z x = self.bn1(x) 2025-08-14T21:35:49.2793925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2793985Z x = self.act(x) 2025-08-14T21:35:49.2793988Z 2025-08-14T21:35:49.2794066Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2794172Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2794368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2794431Z return mod(*inputs) 2025-08-14T21:35:49.2794650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2794719Z x = self.forward_features(x) 2025-08-14T21:35:49.2794955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2795016Z x = self.blocks(x) 2025-08-14T21:35:49.2795239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2795310Z x = self.conv_dw(x) 2025-08-14T21:35:49.2795516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2795618Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2795840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2795942Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2795945Z 2025-08-14T21:35:49.2796052Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2796248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2796311Z return mod(*inputs) 2025-08-14T21:35:49.2796525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2796593Z x = self.forward_features(x) 2025-08-14T21:35:49.2796821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2796888Z x = self.blocks(x) 2025-08-14T21:35:49.2797108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2797215Z x = self.conv_dw(x) 2025-08-14T21:35:49.2797457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2797558Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2797777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2797874Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2797878Z 2025-08-14T21:35:49.2797963Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2798062Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2798256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2798326Z return mod(*inputs) 2025-08-14T21:35:49.2798530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2798600Z x = self.forward_features(x) 2025-08-14T21:35:49.2798841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2798903Z x = self.blocks(x) 2025-08-14T21:35:49.2799132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2799195Z x = self.conv_dw(x) 2025-08-14T21:35:49.2799397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2799502Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2799713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2799810Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2799820Z 2025-08-14T21:35:49.2799924Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2800118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2800192Z return mod(*inputs) 2025-08-14T21:35:49.2800411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2800482Z x = self.forward_features(x) 2025-08-14T21:35:49.2800734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2800796Z x = self.blocks(x) 2025-08-14T21:35:49.2801033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2801102Z x = self.conv_dw(x) 2025-08-14T21:35:49.2801305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2801411Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2801625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2801726Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2801730Z 2025-08-14T21:35:49.2801815Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2801916Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2802121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2802188Z return mod(*inputs) 2025-08-14T21:35:49.2802408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2802489Z x = self.forward_features(x) 2025-08-14T21:35:49.2802736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2802801Z x = self.blocks(x) 2025-08-14T21:35:49.2803085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2803179Z x = self.conv_dw(x) 2025-08-14T21:35:49.2803414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2803513Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2803726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2803830Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2803833Z 2025-08-14T21:35:49.2803934Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2804132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2804203Z return mod(*inputs) 2025-08-14T21:35:49.2804410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2804489Z x = self.forward_features(x) 2025-08-14T21:35:49.2804731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2804796Z x = self.blocks(x) 2025-08-14T21:35:49.2805045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2805111Z x = self.conv_dw(x) 2025-08-14T21:35:49.2805334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2805437Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2805663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2805772Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2805778Z 2025-08-14T21:35:49.2805862Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2805967Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2806187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2806254Z return mod(*inputs) 2025-08-14T21:35:49.2806479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2806553Z x = self.forward_features(x) 2025-08-14T21:35:49.2806799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2806871Z x = self.blocks(x) 2025-08-14T21:35:49.2807109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2807175Z x = self.conv_dw(x) 2025-08-14T21:35:49.2807397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2807503Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2807739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2807843Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2807847Z 2025-08-14T21:35:49.2807954Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2808171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2808239Z return mod(*inputs) 2025-08-14T21:35:49.2808469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2808542Z x = self.forward_features(x) 2025-08-14T21:35:49.2808786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2808893Z x = self.blocks(x) 2025-08-14T21:35:49.2809163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2809230Z x = self.conv_dw(x) 2025-08-14T21:35:49.2809452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2809556Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2809783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2809886Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2809889Z 2025-08-14T21:35:49.2809970Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2810057Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2810138Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2810215Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2810331Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2810538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2810701Z return mod(*inputs) 2025-08-14T21:35:49.2810936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2811011Z x = self.forward_features(x) 2025-08-14T21:35:49.2811271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2811339Z x = self.blocks(x) 2025-08-14T21:35:49.2811584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2811660Z x = self.conv_dw(x) 2025-08-14T21:35:49.2811880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2811975Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2811979Z 2025-08-14T21:35:49.2812060Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2812169Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2812380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2812448Z return mod(*inputs) 2025-08-14T21:35:49.2812665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2812747Z x = self.forward_features(x) 2025-08-14T21:35:49.2812993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2813068Z x = self.blocks(x) 2025-08-14T21:35:49.2813302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2813364Z x = self.se(x) 2025-08-14T21:35:49.2813609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:35:49.2813686Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:35:49.2813693Z 2025-08-14T21:35:49.2813798Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2814007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2814074Z return mod(*inputs) 2025-08-14T21:35:49.2814301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2814373Z x = self.forward_features(x) 2025-08-14T21:35:49.2814613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2814687Z x = self.blocks(x) 2025-08-14T21:35:49.2814920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2815021Z x = self.se(x) 2025-08-14T21:35:49.2815274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2815386Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2815390Z 2025-08-14T21:35:49.2815508Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2815713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2815780Z return mod(*inputs) 2025-08-14T21:35:49.2816011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2816085Z x = self.forward_features(x) 2025-08-14T21:35:49.2816336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2816402Z x = self.blocks(x) 2025-08-14T21:35:49.2816636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2816711Z x = self.se(x) 2025-08-14T21:35:49.2816950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2817018Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2817021Z 2025-08-14T21:35:49.2817136Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2817341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2817416Z return mod(*inputs) 2025-08-14T21:35:49.2817646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2817719Z x = self.forward_features(x) 2025-08-14T21:35:49.2817979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2818044Z x = self.blocks(x) 2025-08-14T21:35:49.2818477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2818556Z x = self.se(x) 2025-08-14T21:35:49.2818795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2818877Z return x * self.gate(x_se) 2025-08-14T21:35:49.2818881Z 2025-08-14T21:35:49.2818991Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2819200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2819279Z return mod(*inputs) 2025-08-14T21:35:49.2819503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2819575Z x = self.forward_features(x) 2025-08-14T21:35:49.2819831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2819900Z x = self.blocks(x) 2025-08-14T21:35:49.2820146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2820210Z x = self.se(x) 2025-08-14T21:35:49.2820443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2820524Z return x * self.gate(x_se) 2025-08-14T21:35:49.2820528Z 2025-08-14T21:35:49.2820634Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2820843Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2820923Z return mod(*inputs) 2025-08-14T21:35:49.2821141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2821232Z x = self.forward_features(x) 2025-08-14T21:35:49.2821461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2821589Z x = self.blocks(x) 2025-08-14T21:35:49.2821873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2821934Z x = self.se(x) 2025-08-14T21:35:49.2822155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2822230Z return x * self.gate(x_se) 2025-08-14T21:35:49.2822233Z 2025-08-14T21:35:49.2822311Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2822419Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2822612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2822676Z return mod(*inputs) 2025-08-14T21:35:49.2822890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2822962Z x = self.forward_features(x) 2025-08-14T21:35:49.2823201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2823263Z x = self.blocks(x) 2025-08-14T21:35:49.2823482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2823552Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2823755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2823857Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2824076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2824178Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2824181Z 2025-08-14T21:35:49.2824290Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2824483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2824549Z return mod(*inputs) 2025-08-14T21:35:49.2824764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2824830Z x = self.forward_features(x) 2025-08-14T21:35:49.2825059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2825127Z x = self.blocks(x) 2025-08-14T21:35:49.2825347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2825417Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2825618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2825716Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2825938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2826036Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2826040Z 2025-08-14T21:35:49.2826122Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2826224Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2826414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2826484Z return mod(*inputs) 2025-08-14T21:35:49.2826688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2826755Z x = self.forward_features(x) 2025-08-14T21:35:49.2826989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2827050Z x = self.blocks(x) 2025-08-14T21:35:49.2827316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2827382Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2827613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2827718Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2827931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2828027Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2828030Z 2025-08-14T21:35:49.2828139Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2828330Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2828401Z return mod(*inputs) 2025-08-14T21:35:49.2828605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2828676Z x = self.forward_features(x) 2025-08-14T21:35:49.2828915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2828976Z x = self.blocks(x) 2025-08-14T21:35:49.2829198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2829272Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2829473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2829579Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2829792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2829890Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2829896Z 2025-08-14T21:35:49.2829982Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2830058Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2830167Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2830358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2830423Z return mod(*inputs) 2025-08-14T21:35:49.2830635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2830703Z x = self.forward_features(x) 2025-08-14T21:35:49.2830931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2831001Z x = self.blocks(x) 2025-08-14T21:35:49.2831224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2831296Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2831500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2831565Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2831568Z 2025-08-14T21:35:49.2831678Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2831871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2831935Z return mod(*inputs) 2025-08-14T21:35:49.2832149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2832218Z x = self.forward_features(x) 2025-08-14T21:35:49.2832452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2832513Z x = self.blocks(x) 2025-08-14T21:35:49.2832734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:35:49.2832847Z x = self.drop_path(x) + shortcut 2025-08-14T21:35:49.2832851Z 2025-08-14T21:35:49.2832951Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2833177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2833251Z return mod(*inputs) 2025-08-14T21:35:49.2833457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2833532Z x = self.forward_features(x) 2025-08-14T21:35:49.2833762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2833824Z x = self.blocks(x) 2025-08-14T21:35:49.2834053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2834117Z x = self.conv_pw(x) 2025-08-14T21:35:49.2834318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2834427Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2834640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2834747Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2834751Z 2025-08-14T21:35:49.2834850Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2835047Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2835120Z return mod(*inputs) 2025-08-14T21:35:49.2835324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2835402Z x = self.forward_features(x) 2025-08-14T21:35:49.2835631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2835698Z x = self.blocks(x) 2025-08-14T21:35:49.2835927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2835992Z x = self.conv_pw(x) 2025-08-14T21:35:49.2836196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2836302Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2836514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2836618Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2836621Z 2025-08-14T21:35:49.2836722Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2836914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2836985Z return mod(*inputs) 2025-08-14T21:35:49.2837196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2837263Z x = self.forward_features(x) 2025-08-14T21:35:49.2837511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2837576Z x = self.blocks(x) 2025-08-14T21:35:49.2837825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2837890Z x = self.conv_pw(x) 2025-08-14T21:35:49.2838109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2838212Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2838422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2838526Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2838558Z 2025-08-14T21:35:49.2838667Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2838917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2838991Z return mod(*inputs) 2025-08-14T21:35:49.2839212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2839284Z x = self.forward_features(x) 2025-08-14T21:35:49.2839543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2839607Z x = self.blocks(x) 2025-08-14T21:35:49.2839915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2839980Z x = self.conv_pw(x) 2025-08-14T21:35:49.2840194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2840307Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2840535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2840637Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2840649Z 2025-08-14T21:35:49.2840732Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2840815Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2840930Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2841134Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2841200Z return mod(*inputs) 2025-08-14T21:35:49.2841429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2841506Z x = self.forward_features(x) 2025-08-14T21:35:49.2841755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2841827Z x = self.blocks(x) 2025-08-14T21:35:49.2842069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:35:49.2842143Z x = self.conv_pw(x) 2025-08-14T21:35:49.2842357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2842426Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2842429Z 2025-08-14T21:35:49.2842543Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2842745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2842819Z return mod(*inputs) 2025-08-14T21:35:49.2843039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2843115Z x = self.forward_features(x) 2025-08-14T21:35:49.2843368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2843436Z x = self.blocks(x) 2025-08-14T21:35:49.2843672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2843747Z x = self.bn1(x) 2025-08-14T21:35:49.2843958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:35:49.2844031Z x = F.batch_norm( 2025-08-14T21:35:49.2844035Z 2025-08-14T21:35:49.2844140Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2844345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2844419Z return mod(*inputs) 2025-08-14T21:35:49.2844638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2844746Z x = self.forward_features(x) 2025-08-14T21:35:49.2845033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2845099Z x = self.blocks(x) 2025-08-14T21:35:49.2845344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2845408Z x = self.bn1(x) 2025-08-14T21:35:49.2845620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2845690Z x = self.act(x) 2025-08-14T21:35:49.2845694Z 2025-08-14T21:35:49.2845782Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2845890Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2846103Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2846169Z return mod(*inputs) 2025-08-14T21:35:49.2846404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2846479Z x = self.forward_features(x) 2025-08-14T21:35:49.2846728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2846800Z x = self.blocks(x) 2025-08-14T21:35:49.2847036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2847100Z x = self.conv_dw(x) 2025-08-14T21:35:49.2847324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2847430Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2847665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2847772Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2847780Z 2025-08-14T21:35:49.2847886Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2848105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2848173Z return mod(*inputs) 2025-08-14T21:35:49.2848406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2848480Z x = self.forward_features(x) 2025-08-14T21:35:49.2848728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2848801Z x = self.blocks(x) 2025-08-14T21:35:49.2849041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2849108Z x = self.conv_dw(x) 2025-08-14T21:35:49.2849333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2849441Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2849679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2849785Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2849789Z 2025-08-14T21:35:49.2849871Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2849983Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2850190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2850256Z return mod(*inputs) 2025-08-14T21:35:49.2850489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2850563Z x = self.forward_features(x) 2025-08-14T21:35:49.2850903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2851017Z x = self.blocks(x) 2025-08-14T21:35:49.2851301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2851378Z x = self.conv_dw(x) 2025-08-14T21:35:49.2851601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2851709Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2851959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2852062Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2852066Z 2025-08-14T21:35:49.2852182Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2852390Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2852461Z return mod(*inputs) 2025-08-14T21:35:49.2852689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2852764Z x = self.forward_features(x) 2025-08-14T21:35:49.2853018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2853083Z x = self.blocks(x) 2025-08-14T21:35:49.2853321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2853394Z x = self.conv_dw(x) 2025-08-14T21:35:49.2853606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2853708Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2853950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2854055Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2854058Z 2025-08-14T21:35:49.2854148Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2854260Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2854464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2854539Z return mod(*inputs) 2025-08-14T21:35:49.2854761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2854834Z x = self.forward_features(x) 2025-08-14T21:35:49.2855085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2855150Z x = self.blocks(x) 2025-08-14T21:35:49.2855395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2855464Z x = self.conv_dw(x) 2025-08-14T21:35:49.2855678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2855793Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2856018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2856120Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2856131Z 2025-08-14T21:35:49.2856239Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2856442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2856517Z return mod(*inputs) 2025-08-14T21:35:49.2856737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2856810Z x = self.forward_features(x) 2025-08-14T21:35:49.2857097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2857164Z x = self.blocks(x) 2025-08-14T21:35:49.2857442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2857509Z x = self.conv_dw(x) 2025-08-14T21:35:49.2857726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2857838Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2858061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2858163Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2858166Z 2025-08-14T21:35:49.2858256Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2858363Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2858576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2858642Z return mod(*inputs) 2025-08-14T21:35:49.2858859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2858940Z x = self.forward_features(x) 2025-08-14T21:35:49.2859182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2859246Z x = self.blocks(x) 2025-08-14T21:35:49.2859491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2859557Z x = self.conv_dw(x) 2025-08-14T21:35:49.2859777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2859879Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2860104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2860216Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2860220Z 2025-08-14T21:35:49.2860325Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2860535Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2860602Z return mod(*inputs) 2025-08-14T21:35:49.2860818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2860898Z x = self.forward_features(x) 2025-08-14T21:35:49.2861142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2861206Z x = self.blocks(x) 2025-08-14T21:35:49.2861447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2861516Z x = self.conv_dw(x) 2025-08-14T21:35:49.2861740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2861842Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2862063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2862173Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2862176Z 2025-08-14T21:35:49.2862259Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2862339Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2862425Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2862503Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2862616Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2862818Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2862932Z return mod(*inputs) 2025-08-14T21:35:49.2863192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2863266Z x = self.forward_features(x) 2025-08-14T21:35:49.2863514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2863587Z x = self.blocks(x) 2025-08-14T21:35:49.2863825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2863898Z x = self.conv_dw(x) 2025-08-14T21:35:49.2864113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2864184Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2864188Z 2025-08-14T21:35:49.2864276Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2864386Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2864589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2864668Z return mod(*inputs) 2025-08-14T21:35:49.2864887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2864966Z x = self.forward_features(x) 2025-08-14T21:35:49.2865210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2865275Z x = self.blocks(x) 2025-08-14T21:35:49.2865515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2865578Z x = self.se(x) 2025-08-14T21:35:49.2865811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:35:49.2865895Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:35:49.2865903Z 2025-08-14T21:35:49.2866010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2866228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2866297Z return mod(*inputs) 2025-08-14T21:35:49.2866528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2866603Z x = self.forward_features(x) 2025-08-14T21:35:49.2866834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2866896Z x = self.blocks(x) 2025-08-14T21:35:49.2867131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2867191Z x = self.se(x) 2025-08-14T21:35:49.2867420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2867487Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2867490Z 2025-08-14T21:35:49.2867589Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2867797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2867866Z return mod(*inputs) 2025-08-14T21:35:49.2868092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2868164Z x = self.forward_features(x) 2025-08-14T21:35:49.2868421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2868488Z x = self.blocks(x) 2025-08-14T21:35:49.2868710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2868770Z x = self.se(x) 2025-08-14T21:35:49.2868999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2869122Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2869126Z 2025-08-14T21:35:49.2869262Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2869462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2869526Z return mod(*inputs) 2025-08-14T21:35:49.2869741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2869809Z x = self.forward_features(x) 2025-08-14T21:35:49.2870040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2870111Z x = self.blocks(x) 2025-08-14T21:35:49.2870335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2870406Z x = self.se(x) 2025-08-14T21:35:49.2870627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2870700Z return x * self.gate(x_se) 2025-08-14T21:35:49.2870704Z 2025-08-14T21:35:49.2870811Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2871016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2871085Z return mod(*inputs) 2025-08-14T21:35:49.2871315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2871387Z x = self.forward_features(x) 2025-08-14T21:35:49.2871637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2871703Z x = self.blocks(x) 2025-08-14T21:35:49.2871938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2872012Z x = self.se(x) 2025-08-14T21:35:49.2872254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2872324Z return x * self.gate(x_se) 2025-08-14T21:35:49.2872334Z 2025-08-14T21:35:49.2872435Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2872630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2872701Z return mod(*inputs) 2025-08-14T21:35:49.2872909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2872978Z x = self.forward_features(x) 2025-08-14T21:35:49.2873220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2873283Z x = self.blocks(x) 2025-08-14T21:35:49.2873514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2873576Z x = self.se(x) 2025-08-14T21:35:49.2873799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2873874Z return x * self.gate(x_se) 2025-08-14T21:35:49.2873878Z 2025-08-14T21:35:49.2873955Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2874053Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2874262Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2874326Z return mod(*inputs) 2025-08-14T21:35:49.2874544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2874615Z x = self.forward_features(x) 2025-08-14T21:35:49.2874846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2874944Z x = self.blocks(x) 2025-08-14T21:35:49.2875195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2875265Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2875493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2875601Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2875846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2875948Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2875951Z 2025-08-14T21:35:49.2876050Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2876253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2876320Z return mod(*inputs) 2025-08-14T21:35:49.2876529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2876609Z x = self.forward_features(x) 2025-08-14T21:35:49.2876840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2876908Z x = self.blocks(x) 2025-08-14T21:35:49.2877137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2877205Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2877430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2877536Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2877771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2877877Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2877880Z 2025-08-14T21:35:49.2877962Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2878076Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2878280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2878347Z return mod(*inputs) 2025-08-14T21:35:49.2878578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2878649Z x = self.forward_features(x) 2025-08-14T21:35:49.2878899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2878964Z x = self.blocks(x) 2025-08-14T21:35:49.2879199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2879273Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2879495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2879601Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2879836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2879939Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2879942Z 2025-08-14T21:35:49.2880055Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2880257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2880324Z return mod(*inputs) 2025-08-14T21:35:49.2880550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2880622Z x = self.forward_features(x) 2025-08-14T21:35:49.2880873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2880974Z x = self.blocks(x) 2025-08-14T21:35:49.2881230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2881302Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2881503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2881600Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2881821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2881917Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2881920Z 2025-08-14T21:35:49.2882007Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2882085Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2882183Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2882388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2882455Z return mod(*inputs) 2025-08-14T21:35:49.2882662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2882742Z x = self.forward_features(x) 2025-08-14T21:35:49.2882972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2883039Z x = self.blocks(x) 2025-08-14T21:35:49.2883273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2883337Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2883557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2883624Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2883633Z 2025-08-14T21:35:49.2883736Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2883943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2884007Z return mod(*inputs) 2025-08-14T21:35:49.2884217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2884286Z x = self.forward_features(x) 2025-08-14T21:35:49.2884518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2884588Z x = self.blocks(x) 2025-08-14T21:35:49.2884810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:35:49.2884882Z x = self.drop_path(x) + shortcut 2025-08-14T21:35:49.2884893Z 2025-08-14T21:35:49.2884992Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2885190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2885261Z return mod(*inputs) 2025-08-14T21:35:49.2885471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2885541Z x = self.forward_features(x) 2025-08-14T21:35:49.2885778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2885838Z x = self.blocks(x) 2025-08-14T21:35:49.2886068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2886130Z x = self.bn1(x) 2025-08-14T21:35:49.2886329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2886396Z x = self.act(x) 2025-08-14T21:35:49.2886399Z 2025-08-14T21:35:49.2886498Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2886731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2886833Z return mod(*inputs) 2025-08-14T21:35:49.2887049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2887127Z x = self.forward_features(x) 2025-08-14T21:35:49.2887371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2887436Z x = self.blocks(x) 2025-08-14T21:35:49.2887674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2887738Z x = self.bn1(x) 2025-08-14T21:35:49.2887945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2888017Z x = self.act(x) 2025-08-14T21:35:49.2888023Z 2025-08-14T21:35:49.2888130Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2888342Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2888411Z return mod(*inputs) 2025-08-14T21:35:49.2888630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2888712Z x = self.forward_features(x) 2025-08-14T21:35:49.2888956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2889021Z x = self.blocks(x) 2025-08-14T21:35:49.2889263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2889329Z x = self.conv_dw(x) 2025-08-14T21:35:49.2889549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2889660Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2889889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2890001Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2890005Z 2025-08-14T21:35:49.2890111Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2890318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2890386Z return mod(*inputs) 2025-08-14T21:35:49.2890674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2890767Z x = self.forward_features(x) 2025-08-14T21:35:49.2891019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2891087Z x = self.blocks(x) 2025-08-14T21:35:49.2891347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2891417Z x = self.conv_dw(x) 2025-08-14T21:35:49.2891661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2891767Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2891994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2892106Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2892110Z 2025-08-14T21:35:49.2892216Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2892425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2892503Z return mod(*inputs) 2025-08-14T21:35:49.2892724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2892849Z x = self.forward_features(x) 2025-08-14T21:35:49.2893129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2893195Z x = self.blocks(x) 2025-08-14T21:35:49.2893438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2893504Z x = self.conv_dw(x) 2025-08-14T21:35:49.2893720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2893829Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2894051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2894159Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2894162Z 2025-08-14T21:35:49.2894271Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2894478Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2894555Z return mod(*inputs) 2025-08-14T21:35:49.2894773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2894853Z x = self.forward_features(x) 2025-08-14T21:35:49.2895096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2895161Z x = self.blocks(x) 2025-08-14T21:35:49.2895402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2895468Z x = self.conv_dw(x) 2025-08-14T21:35:49.2895681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2895794Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2896017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2896130Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2896133Z 2025-08-14T21:35:49.2896239Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2896445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2896521Z return mod(*inputs) 2025-08-14T21:35:49.2896737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2896809Z x = self.forward_features(x) 2025-08-14T21:35:49.2897059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2897124Z x = self.blocks(x) 2025-08-14T21:35:49.2897371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2897437Z x = self.conv_dw(x) 2025-08-14T21:35:49.2897654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2897768Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2897989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2898100Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2898103Z 2025-08-14T21:35:49.2898208Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2898409Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2898484Z return mod(*inputs) 2025-08-14T21:35:49.2898700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2898812Z x = self.forward_features(x) 2025-08-14T21:35:49.2899107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2899173Z x = self.blocks(x) 2025-08-14T21:35:49.2899415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2899490Z x = self.conv_dw(x) 2025-08-14T21:35:49.2899692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2899796Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2900008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2900105Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2900116Z 2025-08-14T21:35:49.2900219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2900411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2900486Z return mod(*inputs) 2025-08-14T21:35:49.2900694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2900770Z x = self.forward_features(x) 2025-08-14T21:35:49.2901007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2901068Z x = self.blocks(x) 2025-08-14T21:35:49.2901295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2901357Z x = self.conv_dw(x) 2025-08-14T21:35:49.2901557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2901660Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2901872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2901970Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2901973Z 2025-08-14T21:35:49.2902079Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2902270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2902340Z return mod(*inputs) 2025-08-14T21:35:49.2902544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2902613Z x = self.forward_features(x) 2025-08-14T21:35:49.2902848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2902909Z x = self.blocks(x) 2025-08-14T21:35:49.2903133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2903205Z x = self.conv_dw(x) 2025-08-14T21:35:49.2903409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2903515Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2903725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2903821Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2903824Z 2025-08-14T21:35:49.2903911Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2903989Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2904065Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2904147Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2904247Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2904480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2904543Z return mod(*inputs) 2025-08-14T21:35:49.2904793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2904872Z x = self.forward_features(x) 2025-08-14T21:35:49.2905104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2905163Z x = self.blocks(x) 2025-08-14T21:35:49.2905394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2905455Z x = self.conv_dw(x) 2025-08-14T21:35:49.2905664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2905729Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2905732Z 2025-08-14T21:35:49.2905809Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2905919Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2906123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2906185Z return mod(*inputs) 2025-08-14T21:35:49.2906400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2906469Z x = self.forward_features(x) 2025-08-14T21:35:49.2906703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2906765Z x = self.blocks(x) 2025-08-14T21:35:49.2906987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2907054Z x = self.se(x) 2025-08-14T21:35:49.2907274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:35:49.2907351Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:35:49.2907361Z 2025-08-14T21:35:49.2907459Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2907654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2907725Z return mod(*inputs) 2025-08-14T21:35:49.2907933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2907999Z x = self.forward_features(x) 2025-08-14T21:35:49.2908237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2908298Z x = self.blocks(x) 2025-08-14T21:35:49.2908525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2908583Z x = self.se(x) 2025-08-14T21:35:49.2908806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2908882Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2908885Z 2025-08-14T21:35:49.2908988Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2909181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2909252Z return mod(*inputs) 2025-08-14T21:35:49.2909457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2909532Z x = self.forward_features(x) 2025-08-14T21:35:49.2909760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2909821Z x = self.blocks(x) 2025-08-14T21:35:49.2910048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2910106Z x = self.se(x) 2025-08-14T21:35:49.2910359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2910460Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2910464Z 2025-08-14T21:35:49.2910566Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2910767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2910832Z return mod(*inputs) 2025-08-14T21:35:49.2911039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2911116Z x = self.forward_features(x) 2025-08-14T21:35:49.2911347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2911409Z x = self.blocks(x) 2025-08-14T21:35:49.2911638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2911700Z x = self.se(x) 2025-08-14T21:35:49.2911927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2911995Z return x * self.gate(x_se) 2025-08-14T21:35:49.2911999Z 2025-08-14T21:35:49.2912097Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2912296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2912360Z return mod(*inputs) 2025-08-14T21:35:49.2912584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2912650Z x = self.forward_features(x) 2025-08-14T21:35:49.2912872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2912938Z x = self.blocks(x) 2025-08-14T21:35:49.2913151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2913211Z x = self.se(x) 2025-08-14T21:35:49.2913433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2913498Z return x * self.gate(x_se) 2025-08-14T21:35:49.2913502Z 2025-08-14T21:35:49.2913603Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2913788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2913850Z return mod(*inputs) 2025-08-14T21:35:49.2914059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2914124Z x = self.forward_features(x) 2025-08-14T21:35:49.2914347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2914417Z x = self.blocks(x) 2025-08-14T21:35:49.2914632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2914697Z x = self.se(x) 2025-08-14T21:35:49.2914910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2914975Z return x * self.gate(x_se) 2025-08-14T21:35:49.2914978Z 2025-08-14T21:35:49.2915081Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2915271Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2915334Z return mod(*inputs) 2025-08-14T21:35:49.2915544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2915609Z x = self.forward_features(x) 2025-08-14T21:35:49.2915838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2915929Z x = self.blocks(x) 2025-08-14T21:35:49.2916179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2916252Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2916256Z 2025-08-14T21:35:49.2916353Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2916555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2916617Z return mod(*inputs) 2025-08-14T21:35:49.2916824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2916900Z x = self.forward_features(x) 2025-08-14T21:35:49.2917129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2917189Z x = self.blocks(x) 2025-08-14T21:35:49.2917417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2917484Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2917487Z 2025-08-14T21:35:49.2917593Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2917785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2917850Z return mod(*inputs) 2025-08-14T21:35:49.2918063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2918131Z x = self.forward_features(x) 2025-08-14T21:35:49.2918477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2918550Z x = self.blocks(x) 2025-08-14T21:35:49.2918765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2918838Z x = self.bn1(x) 2025-08-14T21:35:49.2919032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2919094Z x = self.act(x) 2025-08-14T21:35:49.2919097Z 2025-08-14T21:35:49.2919203Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2919391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2919453Z return mod(*inputs) 2025-08-14T21:35:49.2919666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2919734Z x = self.forward_features(x) 2025-08-14T21:35:49.2919965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2920026Z x = self.blocks(x) 2025-08-14T21:35:49.2920240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2920312Z x = self.bn1(x) 2025-08-14T21:35:49.2920506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2920565Z x = self.act(x) 2025-08-14T21:35:49.2920568Z 2025-08-14T21:35:49.2920673Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2920865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2920935Z return mod(*inputs) 2025-08-14T21:35:49.2921141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2921208Z x = self.forward_features(x) 2025-08-14T21:35:49.2921445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2921505Z x = self.blocks(x) 2025-08-14T21:35:49.2921730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2921866Z x = self.conv_dw(x) 2025-08-14T21:35:49.2922122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2922234Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2922447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2922548Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2922551Z 2025-08-14T21:35:49.2922659Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2922865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2922935Z return mod(*inputs) 2025-08-14T21:35:49.2923141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2923212Z x = self.forward_features(x) 2025-08-14T21:35:49.2923447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2923509Z x = self.blocks(x) 2025-08-14T21:35:49.2923725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2923795Z x = self.conv_dw(x) 2025-08-14T21:35:49.2923993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2924099Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2924312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2924411Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2924414Z 2025-08-14T21:35:49.2924522Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2924722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2924785Z return mod(*inputs) 2025-08-14T21:35:49.2925004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2925073Z x = self.forward_features(x) 2025-08-14T21:35:49.2925316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2925380Z x = self.blocks(x) 2025-08-14T21:35:49.2925613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2925686Z x = self.conv_dw(x) 2025-08-14T21:35:49.2925898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2926009Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2926235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2926340Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2926343Z 2025-08-14T21:35:49.2926456Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2926659Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2926726Z return mod(*inputs) 2025-08-14T21:35:49.2926951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2927023Z x = self.forward_features(x) 2025-08-14T21:35:49.2927273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2927337Z x = self.blocks(x) 2025-08-14T21:35:49.2927572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2927682Z x = self.conv_dw(x) 2025-08-14T21:35:49.2927936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2928042Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2928275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2928376Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2928380Z 2025-08-14T21:35:49.2928493Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2928700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2928768Z return mod(*inputs) 2025-08-14T21:35:49.2928994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2929068Z x = self.forward_features(x) 2025-08-14T21:35:49.2929320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2929387Z x = self.blocks(x) 2025-08-14T21:35:49.2929625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2929698Z x = self.conv_dw(x) 2025-08-14T21:35:49.2929912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2930013Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2930245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2930348Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2930351Z 2025-08-14T21:35:49.2930465Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2930738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2930812Z return mod(*inputs) 2025-08-14T21:35:49.2931054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2931129Z x = self.forward_features(x) 2025-08-14T21:35:49.2931378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2931454Z x = self.blocks(x) 2025-08-14T21:35:49.2931695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2931770Z x = self.conv_dw(x) 2025-08-14T21:35:49.2931991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2932097Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2932340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2932448Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2932452Z 2025-08-14T21:35:49.2932570Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2932789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2932868Z return mod(*inputs) 2025-08-14T21:35:49.2933097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2933173Z x = self.forward_features(x) 2025-08-14T21:35:49.2933418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2933493Z x = self.blocks(x) 2025-08-14T21:35:49.2933729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2933846Z x = self.conv_dw(x) 2025-08-14T21:35:49.2934095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2934197Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2934428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2934529Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2934532Z 2025-08-14T21:35:49.2934637Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2934859Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2934925Z return mod(*inputs) 2025-08-14T21:35:49.2935149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2935224Z x = self.forward_features(x) 2025-08-14T21:35:49.2935467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2935542Z x = self.blocks(x) 2025-08-14T21:35:49.2935775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2935841Z x = self.conv_dw(x) 2025-08-14T21:35:49.2936060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2936163Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2936392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2936494Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2936497Z 2025-08-14T21:35:49.2936583Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2936679Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2936759Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2936846Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2936954Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2937156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2937230Z return mod(*inputs) 2025-08-14T21:35:49.2937446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2937518Z x = self.forward_features(x) 2025-08-14T21:35:49.2937768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2937834Z x = self.blocks(x) 2025-08-14T21:35:49.2938077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2938143Z x = self.conv_dw(x) 2025-08-14T21:35:49.2938359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2938439Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2938443Z 2025-08-14T21:35:49.2938524Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2938630Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2938860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2938928Z return mod(*inputs) 2025-08-14T21:35:49.2939154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2939227Z x = self.forward_features(x) 2025-08-14T21:35:49.2939463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2939530Z x = self.blocks(x) 2025-08-14T21:35:49.2939744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2939835Z x = self.se(x) 2025-08-14T21:35:49.2940093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:35:49.2940166Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:35:49.2940169Z 2025-08-14T21:35:49.2940273Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2940462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2940524Z return mod(*inputs) 2025-08-14T21:35:49.2940729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2940795Z x = self.forward_features(x) 2025-08-14T21:35:49.2941014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2941087Z x = self.blocks(x) 2025-08-14T21:35:49.2941301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2941366Z x = self.se(x) 2025-08-14T21:35:49.2941579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2941642Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2941646Z 2025-08-14T21:35:49.2941750Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2941936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2942000Z return mod(*inputs) 2025-08-14T21:35:49.2942210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2942278Z x = self.forward_features(x) 2025-08-14T21:35:49.2942513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2942578Z x = self.blocks(x) 2025-08-14T21:35:49.2942798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2942866Z x = self.se(x) 2025-08-14T21:35:49.2943083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2943147Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2943158Z 2025-08-14T21:35:49.2943258Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2943450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2943520Z return mod(*inputs) 2025-08-14T21:35:49.2943726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2943804Z x = self.forward_features(x) 2025-08-14T21:35:49.2944034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2944096Z x = self.blocks(x) 2025-08-14T21:35:49.2944319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2944377Z x = self.se(x) 2025-08-14T21:35:49.2944587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2944660Z return x * self.gate(x_se) 2025-08-14T21:35:49.2944664Z 2025-08-14T21:35:49.2944760Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2944942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2945012Z return mod(*inputs) 2025-08-14T21:35:49.2945210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2945315Z x = self.forward_features(x) 2025-08-14T21:35:49.2945544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2945638Z x = self.blocks(x) 2025-08-14T21:35:49.2945860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2945916Z x = self.se(x) 2025-08-14T21:35:49.2946129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2946203Z return x * self.gate(x_se) 2025-08-14T21:35:49.2946206Z 2025-08-14T21:35:49.2946301Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2946494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2946557Z return mod(*inputs) 2025-08-14T21:35:49.2946757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2946834Z x = self.forward_features(x) 2025-08-14T21:35:49.2947058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2947116Z x = self.blocks(x) 2025-08-14T21:35:49.2947334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2947390Z x = self.se(x) 2025-08-14T21:35:49.2947606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2947670Z return x * self.gate(x_se) 2025-08-14T21:35:49.2947673Z 2025-08-14T21:35:49.2947747Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2947849Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2948033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2948097Z return mod(*inputs) 2025-08-14T21:35:49.2948302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2948369Z x = self.forward_features(x) 2025-08-14T21:35:49.2948599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2948657Z x = self.blocks(x) 2025-08-14T21:35:49.2948869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2948941Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2949137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2949242Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2949447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2949548Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2949551Z 2025-08-14T21:35:49.2949655Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2949844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2949907Z return mod(*inputs) 2025-08-14T21:35:49.2950116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2950182Z x = self.forward_features(x) 2025-08-14T21:35:49.2950415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2950474Z x = self.blocks(x) 2025-08-14T21:35:49.2950688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2950760Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2950954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2951091Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2951339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2951435Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2951438Z 2025-08-14T21:35:49.2951522Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2951619Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2951810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2951881Z return mod(*inputs) 2025-08-14T21:35:49.2952082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2952157Z x = self.forward_features(x) 2025-08-14T21:35:49.2952382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2952445Z x = self.blocks(x) 2025-08-14T21:35:49.2952670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2952734Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2952930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2953033Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2953239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2953353Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2953356Z 2025-08-14T21:35:49.2953453Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2953640Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2953712Z return mod(*inputs) 2025-08-14T21:35:49.2953916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2953984Z x = self.forward_features(x) 2025-08-14T21:35:49.2954215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2954276Z x = self.blocks(x) 2025-08-14T21:35:49.2954498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2954560Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2954759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2954863Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2955070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2955167Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2955178Z 2025-08-14T21:35:49.2955256Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2955331Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2955436Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2955623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2955685Z return mod(*inputs) 2025-08-14T21:35:49.2955893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2955960Z x = self.forward_features(x) 2025-08-14T21:35:49.2956191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2956251Z x = self.blocks(x) 2025-08-14T21:35:49.2956468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2956573Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2956804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2956871Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2956875Z 2025-08-14T21:35:49.2956982Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2957173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2957242Z return mod(*inputs) 2025-08-14T21:35:49.2957442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2957510Z x = self.forward_features(x) 2025-08-14T21:35:49.2957743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2957802Z x = self.blocks(x) 2025-08-14T21:35:49.2958024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:35:49.2958106Z x = self.drop_path(x) + shortcut 2025-08-14T21:35:49.2958109Z 2025-08-14T21:35:49.2958206Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2958405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2958468Z return mod(*inputs) 2025-08-14T21:35:49.2958671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2958745Z x = self.forward_features(x) 2025-08-14T21:35:49.2958969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2959028Z x = self.blocks(x) 2025-08-14T21:35:49.2959251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2959311Z x = self.bn1(x) 2025-08-14T21:35:49.2959513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2959571Z x = self.act(x) 2025-08-14T21:35:49.2959574Z 2025-08-14T21:35:49.2959671Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2959867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2959930Z return mod(*inputs) 2025-08-14T21:35:49.2960129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2960202Z x = self.forward_features(x) 2025-08-14T21:35:49.2960425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2960491Z x = self.blocks(x) 2025-08-14T21:35:49.2960708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2960769Z x = self.bn1(x) 2025-08-14T21:35:49.2960972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2961031Z x = self.act(x) 2025-08-14T21:35:49.2961034Z 2025-08-14T21:35:49.2961136Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2961328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2961391Z return mod(*inputs) 2025-08-14T21:35:49.2961601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2961667Z x = self.forward_features(x) 2025-08-14T21:35:49.2961897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2961965Z x = self.blocks(x) 2025-08-14T21:35:49.2962244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2962315Z x = self.conv_dw(x) 2025-08-14T21:35:49.2962545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2962647Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2962869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2962968Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2962972Z 2025-08-14T21:35:49.2963070Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2963274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2963338Z return mod(*inputs) 2025-08-14T21:35:49.2963555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2963626Z x = self.forward_features(x) 2025-08-14T21:35:49.2963858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2963928Z x = self.blocks(x) 2025-08-14T21:35:49.2964152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2964216Z x = self.conv_dw(x) 2025-08-14T21:35:49.2964426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2964526Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2964747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2964846Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2964849Z 2025-08-14T21:35:49.2964953Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2965159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2965227Z return mod(*inputs) 2025-08-14T21:35:49.2965441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2965509Z x = self.forward_features(x) 2025-08-14T21:35:49.2965740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2965810Z x = self.blocks(x) 2025-08-14T21:35:49.2966032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2966093Z x = self.conv_dw(x) 2025-08-14T21:35:49.2966304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2966402Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2966622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2966720Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2966723Z 2025-08-14T21:35:49.2966823Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2967023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2967087Z return mod(*inputs) 2025-08-14T21:35:49.2967294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2967370Z x = self.forward_features(x) 2025-08-14T21:35:49.2967603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2967671Z x = self.blocks(x) 2025-08-14T21:35:49.2967933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2967996Z x = self.conv_dw(x) 2025-08-14T21:35:49.2968241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2968347Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2968581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2968682Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2968685Z 2025-08-14T21:35:49.2968792Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2969011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2969079Z return mod(*inputs) 2025-08-14T21:35:49.2969296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2969380Z x = self.forward_features(x) 2025-08-14T21:35:49.2969627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2969698Z x = self.blocks(x) 2025-08-14T21:35:49.2969934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2970000Z x = self.conv_dw(x) 2025-08-14T21:35:49.2970237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2970338Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2970563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2970758Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2970763Z 2025-08-14T21:35:49.2970875Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2971090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2971159Z return mod(*inputs) 2025-08-14T21:35:49.2971379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2971459Z x = self.forward_features(x) 2025-08-14T21:35:49.2971700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2971773Z x = self.blocks(x) 2025-08-14T21:35:49.2972016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2972079Z x = self.conv_dw(x) 2025-08-14T21:35:49.2972288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2972385Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2972598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2972705Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2972708Z 2025-08-14T21:35:49.2972810Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2973011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2973075Z return mod(*inputs) 2025-08-14T21:35:49.2973280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2973358Z x = self.forward_features(x) 2025-08-14T21:35:49.2973588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2973652Z x = self.blocks(x) 2025-08-14T21:35:49.2973899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2974013Z x = self.conv_dw(x) 2025-08-14T21:35:49.2974263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2974367Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2974596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2974700Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2974703Z 2025-08-14T21:35:49.2974802Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2975005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2975069Z return mod(*inputs) 2025-08-14T21:35:49.2975277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2975356Z x = self.forward_features(x) 2025-08-14T21:35:49.2975586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2975647Z x = self.blocks(x) 2025-08-14T21:35:49.2975873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2975934Z x = self.conv_dw(x) 2025-08-14T21:35:49.2976144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2976241Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2976450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2976557Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2976560Z 2025-08-14T21:35:49.2976638Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2976720Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2976805Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2976883Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2976991Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2977184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2977247Z return mod(*inputs) 2025-08-14T21:35:49.2977461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2977530Z x = self.forward_features(x) 2025-08-14T21:35:49.2977759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2977829Z x = self.blocks(x) 2025-08-14T21:35:49.2978050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.2978124Z x = self.conv_dw(x) 2025-08-14T21:35:49.2978327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2978394Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2978397Z 2025-08-14T21:35:49.2978482Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2978581Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2978776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2978847Z return mod(*inputs) 2025-08-14T21:35:49.2979049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2979125Z x = self.forward_features(x) 2025-08-14T21:35:49.2979353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2979415Z x = self.blocks(x) 2025-08-14T21:35:49.2979679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2979738Z x = self.se(x) 2025-08-14T21:35:49.2979987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:35:49.2980071Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:35:49.2980075Z 2025-08-14T21:35:49.2980173Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2980377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2980441Z return mod(*inputs) 2025-08-14T21:35:49.2980645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2980721Z x = self.forward_features(x) 2025-08-14T21:35:49.2980948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2981012Z x = self.blocks(x) 2025-08-14T21:35:49.2981242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2981302Z x = self.se(x) 2025-08-14T21:35:49.2981538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2981603Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2981606Z 2025-08-14T21:35:49.2981707Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2981910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2981974Z return mod(*inputs) 2025-08-14T21:35:49.2982186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2982255Z x = self.forward_features(x) 2025-08-14T21:35:49.2982483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2982554Z x = self.blocks(x) 2025-08-14T21:35:49.2982777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2982836Z x = self.se(x) 2025-08-14T21:35:49.2983061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.2983126Z x_se = self.act1(x_se) 2025-08-14T21:35:49.2983129Z 2025-08-14T21:35:49.2983236Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2983431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2983493Z return mod(*inputs) 2025-08-14T21:35:49.2983706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2983775Z x = self.forward_features(x) 2025-08-14T21:35:49.2984016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2984086Z x = self.blocks(x) 2025-08-14T21:35:49.2984297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2984362Z x = self.se(x) 2025-08-14T21:35:49.2984572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2984638Z return x * self.gate(x_se) 2025-08-14T21:35:49.2984641Z 2025-08-14T21:35:49.2984744Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2984936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2984997Z return mod(*inputs) 2025-08-14T21:35:49.2985211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2985313Z x = self.forward_features(x) 2025-08-14T21:35:49.2985619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2985682Z x = self.blocks(x) 2025-08-14T21:35:49.2985906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2985972Z x = self.se(x) 2025-08-14T21:35:49.2986192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2986260Z return x * self.gate(x_se) 2025-08-14T21:35:49.2986270Z 2025-08-14T21:35:49.2986369Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2986561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2986629Z return mod(*inputs) 2025-08-14T21:35:49.2986835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2986907Z x = self.forward_features(x) 2025-08-14T21:35:49.2987145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2987205Z x = self.blocks(x) 2025-08-14T21:35:49.2987440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.2987497Z x = self.se(x) 2025-08-14T21:35:49.2987710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.2987782Z return x * self.gate(x_se) 2025-08-14T21:35:49.2987785Z 2025-08-14T21:35:49.2987861Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2987960Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2988157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2988223Z return mod(*inputs) 2025-08-14T21:35:49.2988434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2988500Z x = self.forward_features(x) 2025-08-14T21:35:49.2988724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2988791Z x = self.blocks(x) 2025-08-14T21:35:49.2989010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2989074Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2989286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2989388Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2989611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2989716Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2989719Z 2025-08-14T21:35:49.2989820Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2990025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2990089Z return mod(*inputs) 2025-08-14T21:35:49.2990297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2990375Z x = self.forward_features(x) 2025-08-14T21:35:49.2990604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2990674Z x = self.blocks(x) 2025-08-14T21:35:49.2990896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2990960Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2991210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2991347Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2991571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2991669Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2991672Z 2025-08-14T21:35:49.2991751Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2991859Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2992063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2992125Z return mod(*inputs) 2025-08-14T21:35:49.2992335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2992402Z x = self.forward_features(x) 2025-08-14T21:35:49.2992636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2992699Z x = self.blocks(x) 2025-08-14T21:35:49.2992913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2992982Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2993178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2993273Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2993488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2993580Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2993583Z 2025-08-14T21:35:49.2993689Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2993880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2993943Z return mod(*inputs) 2025-08-14T21:35:49.2994152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2994218Z x = self.forward_features(x) 2025-08-14T21:35:49.2994439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2994505Z x = self.blocks(x) 2025-08-14T21:35:49.2994720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2994789Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2994987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.2995082Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2995293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.2995391Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.2995396Z 2025-08-14T21:35:49.2995481Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2995555Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.2995653Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2995846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2995907Z return mod(*inputs) 2025-08-14T21:35:49.2996107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2996182Z x = self.forward_features(x) 2025-08-14T21:35:49.2996406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2996473Z x = self.blocks(x) 2025-08-14T21:35:49.2996730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.2996792Z x = self.conv_pwl(x) 2025-08-14T21:35:49.2997028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.2997093Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.2997096Z 2025-08-14T21:35:49.2997193Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2997389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2997450Z return mod(*inputs) 2025-08-14T21:35:49.2997658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2997726Z x = self.forward_features(x) 2025-08-14T21:35:49.2997952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2998023Z x = self.blocks(x) 2025-08-14T21:35:49.2998243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:35:49.2998313Z x = self.drop_path(x) + shortcut 2025-08-14T21:35:49.2998323Z 2025-08-14T21:35:49.2998420Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.2998615Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.2998684Z return mod(*inputs) 2025-08-14T21:35:49.2998898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.2998962Z x = self.forward_features(x) 2025-08-14T21:35:49.2999194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.2999252Z x = self.blocks(x) 2025-08-14T21:35:49.2999468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.2999537Z x = self.bn1(x) 2025-08-14T21:35:49.2999732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.2999796Z x = self.act(x) 2025-08-14T21:35:49.2999799Z 2025-08-14T21:35:49.2999897Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3000081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3000150Z return mod(*inputs) 2025-08-14T21:35:49.3000353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3000429Z x = self.forward_features(x) 2025-08-14T21:35:49.3000656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3000716Z x = self.blocks(x) 2025-08-14T21:35:49.3000946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:35:49.3001004Z x = self.bn1(x) 2025-08-14T21:35:49.3001198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.3001263Z x = self.act(x) 2025-08-14T21:35:49.3001266Z 2025-08-14T21:35:49.3001364Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3001561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3001623Z return mod(*inputs) 2025-08-14T21:35:49.3001826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3001902Z x = self.forward_features(x) 2025-08-14T21:35:49.3002141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3002236Z x = self.blocks(x) 2025-08-14T21:35:49.3002455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.3002542Z x = self.conv_dw(x) 2025-08-14T21:35:49.3002745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.3002856Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3003058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.3003161Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3003166Z 2025-08-14T21:35:49.3003260Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3003442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3003510Z return mod(*inputs) 2025-08-14T21:35:49.3003706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3003778Z x = self.forward_features(x) 2025-08-14T21:35:49.3004004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3004064Z x = self.blocks(x) 2025-08-14T21:35:49.3004288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.3004349Z x = self.conv_dw(x) 2025-08-14T21:35:49.3004543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.3004647Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3004852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.3004954Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3004959Z 2025-08-14T21:35:49.3005058Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3005252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3005333Z return mod(*inputs) 2025-08-14T21:35:49.3005538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3005612Z x = self.forward_features(x) 2025-08-14T21:35:49.3005841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3005901Z x = self.blocks(x) 2025-08-14T21:35:49.3006130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.3006192Z x = self.conv_dw(x) 2025-08-14T21:35:49.3006392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.3006500Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3006712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.3006816Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3006819Z 2025-08-14T21:35:49.3006923Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3007127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3007204Z return mod(*inputs) 2025-08-14T21:35:49.3007418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3007497Z x = self.forward_features(x) 2025-08-14T21:35:49.3007740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3007840Z x = self.blocks(x) 2025-08-14T21:35:49.3008084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.3008194Z x = self.conv_dw(x) 2025-08-14T21:35:49.3008408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.3008519Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3008742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.3008853Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3008856Z 2025-08-14T21:35:49.3008963Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3009169Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3009244Z return mod(*inputs) 2025-08-14T21:35:49.3009464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3009540Z x = self.forward_features(x) 2025-08-14T21:35:49.3009799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3009864Z x = self.blocks(x) 2025-08-14T21:35:49.3010105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.3010169Z x = self.conv_dw(x) 2025-08-14T21:35:49.3010380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.3010489Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3010784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.3010893Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3010909Z 2025-08-14T21:35:49.3011017Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3011228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3011305Z return mod(*inputs) 2025-08-14T21:35:49.3011524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3011598Z x = self.forward_features(x) 2025-08-14T21:35:49.3011859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3011920Z x = self.blocks(x) 2025-08-14T21:35:49.3012153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.3012216Z x = self.conv_dw(x) 2025-08-14T21:35:49.3012415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.3012523Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3012750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.3012853Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3012857Z 2025-08-14T21:35:49.3012972Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3013174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3013249Z return mod(*inputs) 2025-08-14T21:35:49.3013466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3013539Z x = self.forward_features(x) 2025-08-14T21:35:49.3013790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3013856Z x = self.blocks(x) 2025-08-14T21:35:49.3014138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.3014250Z x = self.conv_dw(x) 2025-08-14T21:35:49.3014467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.3014577Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3014798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.3014901Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3014904Z 2025-08-14T21:35:49.3015019Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3015230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3015300Z return mod(*inputs) 2025-08-14T21:35:49.3015508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3015579Z x = self.forward_features(x) 2025-08-14T21:35:49.3015818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3015879Z x = self.blocks(x) 2025-08-14T21:35:49.3016102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.3016171Z x = self.conv_dw(x) 2025-08-14T21:35:49.3016375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.3016481Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3016691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.3016790Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3016795Z 2025-08-14T21:35:49.3016884Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.3016962Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.3017042Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.3017124Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.3017224Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3017430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3017493Z return mod(*inputs) 2025-08-14T21:35:49.3017699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3017776Z x = self.forward_features(x) 2025-08-14T21:35:49.3018007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3018068Z x = self.blocks(x) 2025-08-14T21:35:49.3018447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:35:49.3018519Z x = self.conv_dw(x) 2025-08-14T21:35:49.3018732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.3018799Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.3018803Z 2025-08-14T21:35:49.3018883Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.3018995Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3019192Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3019257Z return mod(*inputs) 2025-08-14T21:35:49.3019474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3019544Z x = self.forward_features(x) 2025-08-14T21:35:49.3019785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3019910Z x = self.blocks(x) 2025-08-14T21:35:49.3020184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.3020255Z x = self.se(x) 2025-08-14T21:35:49.3020478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:35:49.3020554Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:35:49.3020567Z 2025-08-14T21:35:49.3020668Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3020860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3020934Z return mod(*inputs) 2025-08-14T21:35:49.3021144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3021214Z x = self.forward_features(x) 2025-08-14T21:35:49.3021458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3021524Z x = self.blocks(x) 2025-08-14T21:35:49.3021762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.3021823Z x = self.se(x) 2025-08-14T21:35:49.3022049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.3022123Z x_se = self.act1(x_se) 2025-08-14T21:35:49.3022126Z 2025-08-14T21:35:49.3022226Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3022422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3022496Z return mod(*inputs) 2025-08-14T21:35:49.3022706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3022782Z x = self.forward_features(x) 2025-08-14T21:35:49.3023018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3023084Z x = self.blocks(x) 2025-08-14T21:35:49.3023318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.3023376Z x = self.se(x) 2025-08-14T21:35:49.3023600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:35:49.3023674Z x_se = self.act1(x_se) 2025-08-14T21:35:49.3023677Z 2025-08-14T21:35:49.3023779Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3023978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3024040Z return mod(*inputs) 2025-08-14T21:35:49.3024256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3024339Z x = self.forward_features(x) 2025-08-14T21:35:49.3024592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3024656Z x = self.blocks(x) 2025-08-14T21:35:49.3024902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.3024964Z x = self.se(x) 2025-08-14T21:35:49.3025207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.3025279Z return x * self.gate(x_se) 2025-08-14T21:35:49.3025283Z 2025-08-14T21:35:49.3025388Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3025598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3025661Z return mod(*inputs) 2025-08-14T21:35:49.3025870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3025987Z x = self.forward_features(x) 2025-08-14T21:35:49.3026243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3026311Z x = self.blocks(x) 2025-08-14T21:35:49.3026533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.3026591Z x = self.se(x) 2025-08-14T21:35:49.3026821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.3026888Z return x * self.gate(x_se) 2025-08-14T21:35:49.3026891Z 2025-08-14T21:35:49.3026997Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3027237Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3027305Z return mod(*inputs) 2025-08-14T21:35:49.3027536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3027612Z x = self.forward_features(x) 2025-08-14T21:35:49.3027869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3027938Z x = self.blocks(x) 2025-08-14T21:35:49.3028160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:35:49.3028225Z x = self.se(x) 2025-08-14T21:35:49.3028444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:35:49.3028509Z return x * self.gate(x_se) 2025-08-14T21:35:49.3028513Z 2025-08-14T21:35:49.3028599Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.3028699Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3028893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3028966Z return mod(*inputs) 2025-08-14T21:35:49.3029232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3029310Z x = self.forward_features(x) 2025-08-14T21:35:49.3029542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3029603Z x = self.blocks(x) 2025-08-14T21:35:49.3029833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.3029897Z x = self.conv_pwl(x) 2025-08-14T21:35:49.3030103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.3030216Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3030429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.3030542Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3030547Z 2025-08-14T21:35:49.3030649Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3030844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3030915Z return mod(*inputs) 2025-08-14T21:35:49.3031122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3031195Z x = self.forward_features(x) 2025-08-14T21:35:49.3031425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3031487Z x = self.blocks(x) 2025-08-14T21:35:49.3031716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.3031817Z x = self.conv_pwl(x) 2025-08-14T21:35:49.3032022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.3032171Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3032381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.3032484Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3032487Z 2025-08-14T21:35:49.3032563Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.3032659Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3032857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3032919Z return mod(*inputs) 2025-08-14T21:35:49.3033121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3033199Z x = self.forward_features(x) 2025-08-14T21:35:49.3033427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3033496Z x = self.blocks(x) 2025-08-14T21:35:49.3033720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.3033784Z x = self.conv_pwl(x) 2025-08-14T21:35:49.3033994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.3034092Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3034304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.3034408Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3034412Z 2025-08-14T21:35:49.3034510Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3034716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3034780Z return mod(*inputs) 2025-08-14T21:35:49.3034991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3035067Z x = self.forward_features(x) 2025-08-14T21:35:49.3035298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3035366Z x = self.blocks(x) 2025-08-14T21:35:49.3035590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.3035654Z x = self.conv_pwl(x) 2025-08-14T21:35:49.3035865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:35:49.3035962Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3036180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:35:49.3036288Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:35:49.3036291Z 2025-08-14T21:35:49.3036369Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.3036455Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.3036556Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3036763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3036833Z return mod(*inputs) 2025-08-14T21:35:49.3037033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3037101Z x = self.forward_features(x) 2025-08-14T21:35:49.3037338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3037444Z x = self.blocks(x) 2025-08-14T21:35:49.3037670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:35:49.3037767Z x = self.conv_pwl(x) 2025-08-14T21:35:49.3037978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:35:49.3038054Z x = torch.cat(x_out, 1) 2025-08-14T21:35:49.3038058Z 2025-08-14T21:35:49.3038163Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3038386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3038462Z return mod(*inputs) 2025-08-14T21:35:49.3038679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3038755Z x = self.forward_features(x) 2025-08-14T21:35:49.3039001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:35:49.3039071Z x = self.blocks(x) 2025-08-14T21:35:49.3039317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:35:49.3039394Z x = self.drop_path(x) + shortcut 2025-08-14T21:35:49.3039397Z 2025-08-14T21:35:49.3039508Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3039722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3039789Z return mod(*inputs) 2025-08-14T21:35:49.3040012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3040082Z x = self.forward_features(x) 2025-08-14T21:35:49.3040326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-08-14T21:35:49.3040397Z x = self.bn2(x) 2025-08-14T21:35:49.3040610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.3040677Z x = self.act(x) 2025-08-14T21:35:49.3040683Z 2025-08-14T21:35:49.3040783Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3040978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3041050Z return mod(*inputs) 2025-08-14T21:35:49.3041256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:35:49.3041323Z x = self.forward_features(x) 2025-08-14T21:35:49.3041561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-08-14T21:35:49.3041622Z x = self.bn2(x) 2025-08-14T21:35:49.3041827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:35:49.3041889Z x = self.act(x) 2025-08-14T21:35:49.3041892Z 2025-08-14T21:35:49.3041970Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.3042082Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:49.3042273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:49.3042337Z return mod(*inputs) 2025-08-14T21:35:49.3042554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T21:35:49.3042622Z x = self.forward_head(x) 2025-08-14T21:35:49.3042852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-08-14T21:35:49.3042920Z x = self.global_pool(x) 2025-08-14T21:35:49.3043149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-14T21:35:49.3043220Z x = self.pool(x) 2025-08-14T21:35:49.3043223Z 2025-08-14T21:35:49.3043335Z cudagraph partition due to non gpu ops 2025-08-14T21:35:49.3043411Z cudagraph partition due to non gpu ops 2025-08-14T21:36:10.7156824Z Compilation time (from dynamo_timed): 38.464667542 2025-08-14T21:36:10.7157188Z pass 2025-08-14T21:36:10.7157474Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:36:10.7158259Z TIMING: _recursive_pre_grad_passes:0.06287 _recursive_joint_graph_passes:0.51152 _recursive_post_grad_passes:0.09147 async_compile.wait:0.79183 code_gen:19.63928 inductor_compile:22.38765 backend_compile:31.6953 gc:0.00053 entire_frame_compile:38.46467 total_wall_time:38.46467 2025-08-14T21:36:10.7159151Z STATS: call_* op count: 521 | FakeTensorMode.__torch_dispatch__:38696 | FakeTensor.__torch_dispatch__:6303 | ProxyTorchDispatchMode.__torch_dispatch__:7397 2025-08-14T21:36:10.7159652Z Dynamo produced 1 graphs covering 521 ops with 0 graph breaks (0 unique) 2025-08-14T21:36:15.9393155Z 2025-08-14T21:36:16.0414058Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:36:16.0414280Z 2025-08-14T21:36:16.1789243Z model.safetensors: 0% 0.00/17.7M [00:00 2025-08-14T21:50:59.5355353Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5355545Z 2025-08-14T21:50:59.5355659Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5356074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5356426Z return mod(*inputs) 2025-08-14T21:50:59.5356759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5357121Z x = self.forward_features(x) 2025-08-14T21:50:59.5357494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5357861Z x = self.blocks(x) 2025-08-14T21:50:59.5358209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5358583Z x = self.conv_pw(x) 2025-08-14T21:50:59.5358911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5359299Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5359705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5360102Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5360265Z 2025-08-14T21:50:59.5360374Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5360751Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5361089Z return mod(*inputs) 2025-08-14T21:50:59.5361420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5361788Z x = self.forward_features(x) 2025-08-14T21:50:59.5362158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5362519Z x = self.blocks(x) 2025-08-14T21:50:59.5362876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5363227Z x = self.conv_pw(x) 2025-08-14T21:50:59.5363541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5363924Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5364364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5364772Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5364944Z 2025-08-14T21:50:59.5365053Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5365434Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5365772Z return mod(*inputs) 2025-08-14T21:50:59.5366108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5366481Z x = self.forward_features(x) 2025-08-14T21:50:59.5366863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5367257Z x = self.blocks(x) 2025-08-14T21:50:59.5367606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5367978Z x = self.conv_pw(x) 2025-08-14T21:50:59.5368297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5368886Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5369337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5369765Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5369960Z 2025-08-14T21:50:59.5370050Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5370287Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5370565Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5371100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5371462Z return mod(*inputs) 2025-08-14T21:50:59.5371809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5372174Z x = self.forward_features(x) 2025-08-14T21:50:59.5372566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5372957Z x = self.blocks(x) 2025-08-14T21:50:59.5373296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5373654Z x = self.conv_pw(x) 2025-08-14T21:50:59.5373978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5374333Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5374450Z 2025-08-14T21:50:59.5374561Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5374951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5375301Z return mod(*inputs) 2025-08-14T21:50:59.5375639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5375999Z x = self.forward_features(x) 2025-08-14T21:50:59.5376381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5376781Z x = self.blocks(x) 2025-08-14T21:50:59.5377117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5377491Z x = self.conv_dw(x) 2025-08-14T21:50:59.5377832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5378215Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5378605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5379001Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5379397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5379750Z return conv2d_same( 2025-08-14T21:50:59.5380093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:59.5380510Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:59.5380890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:59.5381321Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:59.5381735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:59.5382111Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:59.5382273Z 2025-08-14T21:50:59.5382391Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5382765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5383109Z return mod(*inputs) 2025-08-14T21:50:59.5383454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5383824Z x = self.forward_features(x) 2025-08-14T21:50:59.5384240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5384663Z x = self.blocks(x) 2025-08-14T21:50:59.5385033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5385425Z x = self.conv_dw(x) 2025-08-14T21:50:59.5385766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5386157Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5386554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5386951Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5387336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5387688Z return conv2d_same( 2025-08-14T21:50:59.5388016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5388453Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5388645Z 2025-08-14T21:50:59.5388765Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5389149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5389482Z return mod(*inputs) 2025-08-14T21:50:59.5389818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5390183Z x = self.forward_features(x) 2025-08-14T21:50:59.5390552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5390935Z x = self.blocks(x) 2025-08-14T21:50:59.5391290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5391662Z x = self.conv_dw(x) 2025-08-14T21:50:59.5391998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5392391Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5392791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5393191Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5393591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5393941Z return conv2d_same( 2025-08-14T21:50:59.5394272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5394689Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5394890Z 2025-08-14T21:50:59.5395002Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5395384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5395726Z return mod(*inputs) 2025-08-14T21:50:59.5396052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5396415Z x = self.forward_features(x) 2025-08-14T21:50:59.5396791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5397167Z x = self.blocks(x) 2025-08-14T21:50:59.5397518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5397897Z x = self.conv_dw(x) 2025-08-14T21:50:59.5398226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5398635Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5399036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5399458Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5399852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5400205Z return conv2d_same( 2025-08-14T21:50:59.5400546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:59.5400946Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:59.5401316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:59.5401742Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:59.5402158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:59.5402532Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:59.5402697Z 2025-08-14T21:50:59.5402815Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5403202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5403554Z return mod(*inputs) 2025-08-14T21:50:59.5403886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5404252Z x = self.forward_features(x) 2025-08-14T21:50:59.5404634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5405040Z x = self.blocks(x) 2025-08-14T21:50:59.5405396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5405787Z x = self.conv_dw(x) 2025-08-14T21:50:59.5406164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5406567Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5406983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5407414Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5407826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5408177Z return conv2d_same( 2025-08-14T21:50:59.5408523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5408966Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5409164Z 2025-08-14T21:50:59.5409286Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5409669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5410025Z return mod(*inputs) 2025-08-14T21:50:59.5410368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5410846Z x = self.forward_features(x) 2025-08-14T21:50:59.5411249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5411654Z x = self.blocks(x) 2025-08-14T21:50:59.5412022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5412406Z x = self.conv_dw(x) 2025-08-14T21:50:59.5412743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5413180Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5413592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5414022Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5415258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5415639Z return conv2d_same( 2025-08-14T21:50:59.5415980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5416421Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5416617Z 2025-08-14T21:50:59.5416737Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5417121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5417493Z return mod(*inputs) 2025-08-14T21:50:59.5417840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5418414Z x = self.forward_features(x) 2025-08-14T21:50:59.5418816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5419214Z x = self.blocks(x) 2025-08-14T21:50:59.5419585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5419964Z x = self.conv_dw(x) 2025-08-14T21:50:59.5420305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5420724Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5421137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5421544Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5421943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5422376Z return conv2d_same( 2025-08-14T21:50:59.5422726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:59.5423135Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:59.5423524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:59.5423964Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:59.5424380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:59.5424769Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:59.5424943Z 2025-08-14T21:50:59.5425057Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5425448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5425793Z return mod(*inputs) 2025-08-14T21:50:59.5426144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5426519Z x = self.forward_features(x) 2025-08-14T21:50:59.5426896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5427285Z x = self.blocks(x) 2025-08-14T21:50:59.5427642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5428023Z x = self.conv_dw(x) 2025-08-14T21:50:59.5428349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5428753Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5429196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5429644Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5430060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5430418Z return conv2d_same( 2025-08-14T21:50:59.5430764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5431206Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5431416Z 2025-08-14T21:50:59.5431530Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5431920Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5432273Z return mod(*inputs) 2025-08-14T21:50:59.5432610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5432987Z x = self.forward_features(x) 2025-08-14T21:50:59.5433378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5433770Z x = self.blocks(x) 2025-08-14T21:50:59.5434132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5434516Z x = self.conv_dw(x) 2025-08-14T21:50:59.5434848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5435238Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5435661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5436083Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5436474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5436847Z return conv2d_same( 2025-08-14T21:50:59.5437216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5437666Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5437858Z 2025-08-14T21:50:59.5437949Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5438186Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5438416Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5438660Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5439060Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5439411Z return mod(*inputs) 2025-08-14T21:50:59.5439759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5440125Z x = self.forward_features(x) 2025-08-14T21:50:59.5440518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5440905Z x = self.blocks(x) 2025-08-14T21:50:59.5441258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5441644Z x = self.conv_dw(x) 2025-08-14T21:50:59.5441976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5442349Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5442471Z 2025-08-14T21:50:59.5442581Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5442964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5443311Z return mod(*inputs) 2025-08-14T21:50:59.5443666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5444037Z x = self.forward_features(x) 2025-08-14T21:50:59.5444450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5444842Z x = self.blocks(x) 2025-08-14T21:50:59.5445208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:50:59.5445593Z x = self.bn2(x) 2025-08-14T21:50:59.5445918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.5446257Z x = self.act(x) 2025-08-14T21:50:59.5446373Z 2025-08-14T21:50:59.5446460Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5446720Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5447109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5447453Z return mod(*inputs) 2025-08-14T21:50:59.5447791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5448170Z x = self.forward_features(x) 2025-08-14T21:50:59.5448554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5448941Z x = self.blocks(x) 2025-08-14T21:50:59.5449298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5449690Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5450025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5450431Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5450927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5451364Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5451533Z 2025-08-14T21:50:59.5451672Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5452064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5452420Z return mod(*inputs) 2025-08-14T21:50:59.5452758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5453134Z x = self.forward_features(x) 2025-08-14T21:50:59.5453531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5453937Z x = self.blocks(x) 2025-08-14T21:50:59.5454290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5454683Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5455032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5455436Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5455847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5456257Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5456427Z 2025-08-14T21:50:59.5456519Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5456771Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5457164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5457509Z return mod(*inputs) 2025-08-14T21:50:59.5457829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5458193Z x = self.forward_features(x) 2025-08-14T21:50:59.5458599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5459026Z x = self.blocks(x) 2025-08-14T21:50:59.5459377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5459794Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5460150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5460549Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5460946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5461347Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5461518Z 2025-08-14T21:50:59.5461634Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5462004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5462347Z return mod(*inputs) 2025-08-14T21:50:59.5462692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5463073Z x = self.forward_features(x) 2025-08-14T21:50:59.5463456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5463843Z x = self.blocks(x) 2025-08-14T21:50:59.5464200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5464573Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5464922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5465331Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5465745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5466129Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5466305Z 2025-08-14T21:50:59.5466411Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5466648Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5466902Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5467294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5467654Z return mod(*inputs) 2025-08-14T21:50:59.5468011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5468388Z x = self.forward_features(x) 2025-08-14T21:50:59.5468783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5469177Z x = self.blocks(x) 2025-08-14T21:50:59.5469540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5469932Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5470286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5470656Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5470782Z 2025-08-14T21:50:59.5470898Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5471288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5471641Z return mod(*inputs) 2025-08-14T21:50:59.5471986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5472362Z x = self.forward_features(x) 2025-08-14T21:50:59.5472753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5473169Z x = self.blocks(x) 2025-08-14T21:50:59.5473526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:50:59.5473934Z x = self.bn3(x) 2025-08-14T21:50:59.5474282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:59.5474634Z x = F.batch_norm( 2025-08-14T21:50:59.5474751Z 2025-08-14T21:50:59.5474863Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5475256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5475608Z return mod(*inputs) 2025-08-14T21:50:59.5475945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5476320Z x = self.forward_features(x) 2025-08-14T21:50:59.5476708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5477092Z x = self.blocks(x) 2025-08-14T21:50:59.5477453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5477851Z x = self.conv_pw(x) 2025-08-14T21:50:59.5478192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5478591Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5479005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5479416Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5479585Z 2025-08-14T21:50:59.5479706Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5480086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5480442Z return mod(*inputs) 2025-08-14T21:50:59.5480784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5481184Z x = self.forward_features(x) 2025-08-14T21:50:59.5481574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5481968Z x = self.blocks(x) 2025-08-14T21:50:59.5482326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5482707Z x = self.conv_pw(x) 2025-08-14T21:50:59.5483044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5483442Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5483843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5484248Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5484423Z 2025-08-14T21:50:59.5484534Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5484921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5485264Z return mod(*inputs) 2025-08-14T21:50:59.5485604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5485979Z x = self.forward_features(x) 2025-08-14T21:50:59.5486355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5486745Z x = self.blocks(x) 2025-08-14T21:50:59.5487103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5487494Z x = self.conv_pw(x) 2025-08-14T21:50:59.5487823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5488250Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5488692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5489116Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5489286Z 2025-08-14T21:50:59.5489395Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5489785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5490154Z return mod(*inputs) 2025-08-14T21:50:59.5490483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5490944Z x = self.forward_features(x) 2025-08-14T21:50:59.5491334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5491733Z x = self.blocks(x) 2025-08-14T21:50:59.5492085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5492467Z x = self.conv_pw(x) 2025-08-14T21:50:59.5492811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5493203Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5493612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5494019Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5494188Z 2025-08-14T21:50:59.5494283Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5494509Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5494765Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5495158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5495492Z return mod(*inputs) 2025-08-14T21:50:59.5495860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5496239Z x = self.forward_features(x) 2025-08-14T21:50:59.5496620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5496998Z x = self.blocks(x) 2025-08-14T21:50:59.5497365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5497744Z x = self.conv_pw(x) 2025-08-14T21:50:59.5498061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5498412Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5498538Z 2025-08-14T21:50:59.5498648Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5499026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5499363Z return mod(*inputs) 2025-08-14T21:50:59.5499700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5500065Z x = self.forward_features(x) 2025-08-14T21:50:59.5500439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5500818Z x = self.blocks(x) 2025-08-14T21:50:59.5501164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.5501530Z x = self.bn1(x) 2025-08-14T21:50:59.5501837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.5502174Z x = self.act(x) 2025-08-14T21:50:59.5502293Z 2025-08-14T21:50:59.5502407Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5502772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5503131Z return mod(*inputs) 2025-08-14T21:50:59.5503496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5503854Z x = self.forward_features(x) 2025-08-14T21:50:59.5504224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5504606Z x = self.blocks(x) 2025-08-14T21:50:59.5504962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:50:59.5505327Z x = self.bn2(x) 2025-08-14T21:50:59.5505648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.5505989Z x = self.act(x) 2025-08-14T21:50:59.5506089Z 2025-08-14T21:50:59.5506207Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5506591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5506938Z return mod(*inputs) 2025-08-14T21:50:59.5507279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5507639Z x = self.forward_features(x) 2025-08-14T21:50:59.5508031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5508409Z x = self.blocks(x) 2025-08-14T21:50:59.5508759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:50:59.5509129Z x = self.bn2(x) 2025-08-14T21:50:59.5509452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.5509809Z x = self.act(x) 2025-08-14T21:50:59.5509907Z 2025-08-14T21:50:59.5510015Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5510424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5510768Z return mod(*inputs) 2025-08-14T21:50:59.5511098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5511451Z x = self.forward_features(x) 2025-08-14T21:50:59.5511821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5512207Z x = self.blocks(x) 2025-08-14T21:50:59.5512544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5512927Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5513262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5513658Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5514053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5514450Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5514616Z 2025-08-14T21:50:59.5514732Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5515106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5515440Z return mod(*inputs) 2025-08-14T21:50:59.5515774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5516133Z x = self.forward_features(x) 2025-08-14T21:50:59.5516500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5516910Z x = self.blocks(x) 2025-08-14T21:50:59.5517257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5517665Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5518024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5518560Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5518963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5519352Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5519529Z 2025-08-14T21:50:59.5519638Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5520015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5520358Z return mod(*inputs) 2025-08-14T21:50:59.5520685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5521034Z x = self.forward_features(x) 2025-08-14T21:50:59.5521409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5521779Z x = self.blocks(x) 2025-08-14T21:50:59.5522132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5522504Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5522838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5523230Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5523628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5524028Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5524189Z 2025-08-14T21:50:59.5524308Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5524779Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5525126Z return mod(*inputs) 2025-08-14T21:50:59.5525458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5525812Z x = self.forward_features(x) 2025-08-14T21:50:59.5526184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5526560Z x = self.blocks(x) 2025-08-14T21:50:59.5526907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5527279Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5527617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5528003Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5528393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5528787Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5528970Z 2025-08-14T21:50:59.5529058Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5529293Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5529541Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5529925Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5530276Z return mod(*inputs) 2025-08-14T21:50:59.5530612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5531052Z x = self.forward_features(x) 2025-08-14T21:50:59.5531495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5531915Z x = self.blocks(x) 2025-08-14T21:50:59.5532275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5532679Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5533013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5533359Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5533488Z 2025-08-14T21:50:59.5533597Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5533980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5534324Z return mod(*inputs) 2025-08-14T21:50:59.5534658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5535031Z x = self.forward_features(x) 2025-08-14T21:50:59.5535419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5535803Z x = self.blocks(x) 2025-08-14T21:50:59.5536172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:59.5536548Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:59.5536680Z 2025-08-14T21:50:59.5536795Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5537159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5537495Z return mod(*inputs) 2025-08-14T21:50:59.5537825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5538185Z x = self.forward_features(x) 2025-08-14T21:50:59.5538575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5538958Z x = self.blocks(x) 2025-08-14T21:50:59.5539345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.5539708Z x = self.bn1(x) 2025-08-14T21:50:59.5540025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.5540362Z x = self.act(x) 2025-08-14T21:50:59.5540463Z 2025-08-14T21:50:59.5540578Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5540949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5541291Z return mod(*inputs) 2025-08-14T21:50:59.5541624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5541979Z x = self.forward_features(x) 2025-08-14T21:50:59.5542367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5542746Z x = self.blocks(x) 2025-08-14T21:50:59.5543087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.5543475Z x = self.bn1(x) 2025-08-14T21:50:59.5543784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.5544124Z x = self.act(x) 2025-08-14T21:50:59.5544219Z 2025-08-14T21:50:59.5544328Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5544707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5545046Z return mod(*inputs) 2025-08-14T21:50:59.5545377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5545767Z x = self.forward_features(x) 2025-08-14T21:50:59.5546160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5546560Z x = self.blocks(x) 2025-08-14T21:50:59.5546917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5547286Z x = self.conv_dw(x) 2025-08-14T21:50:59.5547613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5548026Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5548419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5548816Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5549204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5549543Z return conv2d_same( 2025-08-14T21:50:59.5549877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:59.5550277Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:59.5550652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:59.5551072Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:59.5551483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:59.5551849Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:59.5552014Z 2025-08-14T21:50:59.5552121Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5552497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5552840Z return mod(*inputs) 2025-08-14T21:50:59.5553174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5553560Z x = self.forward_features(x) 2025-08-14T21:50:59.5553943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5554321Z x = self.blocks(x) 2025-08-14T21:50:59.5554661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5555031Z x = self.conv_dw(x) 2025-08-14T21:50:59.5555359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5555751Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5556141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5556544Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5556926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5557291Z return conv2d_same( 2025-08-14T21:50:59.5557629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5558060Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5558247Z 2025-08-14T21:50:59.5558365Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5558733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5559085Z return mod(*inputs) 2025-08-14T21:50:59.5559414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5559774Z x = self.forward_features(x) 2025-08-14T21:50:59.5560164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5560564Z x = self.blocks(x) 2025-08-14T21:50:59.5560917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5561313Z x = self.conv_dw(x) 2025-08-14T21:50:59.5561641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5562030Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5562427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5562819Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5563208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5563560Z return conv2d_same( 2025-08-14T21:50:59.5563887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5564312Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5564509Z 2025-08-14T21:50:59.5564623Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5565014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5565357Z return mod(*inputs) 2025-08-14T21:50:59.5565697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5566070Z x = self.forward_features(x) 2025-08-14T21:50:59.5566455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5566834Z x = self.blocks(x) 2025-08-14T21:50:59.5567192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5567571Z x = self.conv_dw(x) 2025-08-14T21:50:59.5567916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5568321Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5568733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5569141Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5569530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5569895Z return conv2d_same( 2025-08-14T21:50:59.5570234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:59.5570638Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:59.5571112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:59.5571554Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:59.5571981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:59.5572349Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:59.5572523Z 2025-08-14T21:50:59.5572636Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5573026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5573378Z return mod(*inputs) 2025-08-14T21:50:59.5573716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5574093Z x = self.forward_features(x) 2025-08-14T21:50:59.5574484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5574907Z x = self.blocks(x) 2025-08-14T21:50:59.5575292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5575677Z x = self.conv_dw(x) 2025-08-14T21:50:59.5576032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5576428Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5576840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5577247Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5577635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5577996Z return conv2d_same( 2025-08-14T21:50:59.5578345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5578780Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5578978Z 2025-08-14T21:50:59.5579091Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5579479Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5579831Z return mod(*inputs) 2025-08-14T21:50:59.5580162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5580534Z x = self.forward_features(x) 2025-08-14T21:50:59.5580925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5581301Z x = self.blocks(x) 2025-08-14T21:50:59.5581641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5582014Z x = self.conv_dw(x) 2025-08-14T21:50:59.5582336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5582736Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5583137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5583533Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5583914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5584248Z return conv2d_same( 2025-08-14T21:50:59.5584583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5585022Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5585218Z 2025-08-14T21:50:59.5585339Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5585729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5586071Z return mod(*inputs) 2025-08-14T21:50:59.5586411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5586768Z x = self.forward_features(x) 2025-08-14T21:50:59.5587149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5587528Z x = self.blocks(x) 2025-08-14T21:50:59.5587878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5588240Z x = self.conv_dw(x) 2025-08-14T21:50:59.5588566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5588981Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5589370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5589791Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5590192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5590538Z return conv2d_same( 2025-08-14T21:50:59.5590867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:59.5591263Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:59.5591645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:59.5592060Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:59.5592472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:59.5592846Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:59.5593008Z 2025-08-14T21:50:59.5593127Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5593497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5593845Z return mod(*inputs) 2025-08-14T21:50:59.5594181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5594544Z x = self.forward_features(x) 2025-08-14T21:50:59.5594914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5595297Z x = self.blocks(x) 2025-08-14T21:50:59.5595648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5596024Z x = self.conv_dw(x) 2025-08-14T21:50:59.5596373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5596785Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5597183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5597575Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5597951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5598319Z return conv2d_same( 2025-08-14T21:50:59.5598664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5599109Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5599309Z 2025-08-14T21:50:59.5599420Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5599809Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5600151Z return mod(*inputs) 2025-08-14T21:50:59.5600500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5600871Z x = self.forward_features(x) 2025-08-14T21:50:59.5601246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5601640Z x = self.blocks(x) 2025-08-14T21:50:59.5601997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5602372Z x = self.conv_dw(x) 2025-08-14T21:50:59.5602695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5603091Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5603531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5603960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5604346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5604731Z return conv2d_same( 2025-08-14T21:50:59.5605084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5605521Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5605724Z 2025-08-14T21:50:59.5605836Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5606228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5606581Z return mod(*inputs) 2025-08-14T21:50:59.5606925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5607306Z x = self.forward_features(x) 2025-08-14T21:50:59.5607701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5608082Z x = self.blocks(x) 2025-08-14T21:50:59.5608448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5608830Z x = self.conv_dw(x) 2025-08-14T21:50:59.5609168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5609572Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5609980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5610397Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5610865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5611233Z return conv2d_same( 2025-08-14T21:50:59.5611613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:59.5612044Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:59.5612427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:59.5612863Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:59.5613283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:59.5613660Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:59.5613825Z 2025-08-14T21:50:59.5613937Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5614321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5614670Z return mod(*inputs) 2025-08-14T21:50:59.5615009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5615381Z x = self.forward_features(x) 2025-08-14T21:50:59.5615768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5616157Z x = self.blocks(x) 2025-08-14T21:50:59.5616507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5616887Z x = self.conv_dw(x) 2025-08-14T21:50:59.5617225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5617623Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5618021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5618601Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5619057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5619409Z return conv2d_same( 2025-08-14T21:50:59.5619789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5620218Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5620410Z 2025-08-14T21:50:59.5620530Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5620907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5639729Z return mod(*inputs) 2025-08-14T21:50:59.5640359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5640801Z x = self.forward_features(x) 2025-08-14T21:50:59.5641215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5641633Z x = self.blocks(x) 2025-08-14T21:50:59.5642014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5642402Z x = self.conv_dw(x) 2025-08-14T21:50:59.5642756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5643180Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5643609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5644019Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5644430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5644795Z return conv2d_same( 2025-08-14T21:50:59.5645289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5645754Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5645971Z 2025-08-14T21:50:59.5646067Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5646315Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5646534Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5646753Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5647014Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5647411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5647774Z return mod(*inputs) 2025-08-14T21:50:59.5648134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5648510Z x = self.forward_features(x) 2025-08-14T21:50:59.5648908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5649306Z x = self.blocks(x) 2025-08-14T21:50:59.5649677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5650060Z x = self.conv_dw(x) 2025-08-14T21:50:59.5650402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5650866Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5650991Z 2025-08-14T21:50:59.5651115Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5651504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5651858Z return mod(*inputs) 2025-08-14T21:50:59.5652277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5652636Z x = self.forward_features(x) 2025-08-14T21:50:59.5653054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5653436Z x = self.blocks(x) 2025-08-14T21:50:59.5653814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:50:59.5654183Z x = self.bn2(x) 2025-08-14T21:50:59.5654504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:59.5654854Z x = F.batch_norm( 2025-08-14T21:50:59.5654962Z 2025-08-14T21:50:59.5655076Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5655468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5655828Z return mod(*inputs) 2025-08-14T21:50:59.5656180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5656536Z x = self.forward_features(x) 2025-08-14T21:50:59.5656913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5657290Z x = self.blocks(x) 2025-08-14T21:50:59.5657633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:50:59.5658011Z x = self.bn2(x) 2025-08-14T21:50:59.5658335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.5658680Z x = self.act(x) 2025-08-14T21:50:59.5658780Z 2025-08-14T21:50:59.5658891Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5659286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5659632Z return mod(*inputs) 2025-08-14T21:50:59.5659961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5660344Z x = self.forward_features(x) 2025-08-14T21:50:59.5660723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5661103Z x = self.blocks(x) 2025-08-14T21:50:59.5661442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5661806Z x = self.se(x) 2025-08-14T21:50:59.5662149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.5662514Z x_se = self.act1(x_se) 2025-08-14T21:50:59.5662641Z 2025-08-14T21:50:59.5662751Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5663128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5663468Z return mod(*inputs) 2025-08-14T21:50:59.5663800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5664164Z x = self.forward_features(x) 2025-08-14T21:50:59.5664538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5664900Z x = self.blocks(x) 2025-08-14T21:50:59.5665252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5665609Z x = self.se(x) 2025-08-14T21:50:59.5665940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.5666307Z x_se = self.act1(x_se) 2025-08-14T21:50:59.5666419Z 2025-08-14T21:50:59.5666534Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5666922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5667277Z return mod(*inputs) 2025-08-14T21:50:59.5667610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5667985Z x = self.forward_features(x) 2025-08-14T21:50:59.5668377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5668751Z x = self.blocks(x) 2025-08-14T21:50:59.5669094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5669460Z x = self.se(x) 2025-08-14T21:50:59.5669800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5670184Z return x * self.gate(x_se) 2025-08-14T21:50:59.5670315Z 2025-08-14T21:50:59.5670425Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5670814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5671159Z return mod(*inputs) 2025-08-14T21:50:59.5671496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5671847Z x = self.forward_features(x) 2025-08-14T21:50:59.5672219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5672606Z x = self.blocks(x) 2025-08-14T21:50:59.5672941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5673313Z x = self.se(x) 2025-08-14T21:50:59.5673648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5674021Z return x * self.gate(x_se) 2025-08-14T21:50:59.5674145Z 2025-08-14T21:50:59.5674252Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5674646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5674988Z return mod(*inputs) 2025-08-14T21:50:59.5675317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5675677Z x = self.forward_features(x) 2025-08-14T21:50:59.5676052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5676427Z x = self.blocks(x) 2025-08-14T21:50:59.5676760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5677122Z x = self.se(x) 2025-08-14T21:50:59.5677453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5677815Z return x * self.gate(x_se) 2025-08-14T21:50:59.5677944Z 2025-08-14T21:50:59.5678055Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5678430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5678773Z return mod(*inputs) 2025-08-14T21:50:59.5679097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5679456Z x = self.forward_features(x) 2025-08-14T21:50:59.5679825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5680199Z x = self.blocks(x) 2025-08-14T21:50:59.5680542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5680911Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5681048Z 2025-08-14T21:50:59.5681161Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5681550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5681912Z return mod(*inputs) 2025-08-14T21:50:59.5682276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5682645Z x = self.forward_features(x) 2025-08-14T21:50:59.5683029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5683421Z x = self.blocks(x) 2025-08-14T21:50:59.5683772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5684144Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5684266Z 2025-08-14T21:50:59.5684377Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5684766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5685105Z return mod(*inputs) 2025-08-14T21:50:59.5685462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5685835Z x = self.forward_features(x) 2025-08-14T21:50:59.5686219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5686605Z x = self.blocks(x) 2025-08-14T21:50:59.5686960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5687337Z x = self.conv_pw(x) 2025-08-14T21:50:59.5687664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5688071Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5688491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5688906Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5689079Z 2025-08-14T21:50:59.5689210Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5689601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5689953Z return mod(*inputs) 2025-08-14T21:50:59.5690294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5690654Z x = self.forward_features(x) 2025-08-14T21:50:59.5691137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5691530Z x = self.blocks(x) 2025-08-14T21:50:59.5691885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5692274Z x = self.conv_pw(x) 2025-08-14T21:50:59.5692613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5693017Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5693419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5693828Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5693999Z 2025-08-14T21:50:59.5694120Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5694504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5694853Z return mod(*inputs) 2025-08-14T21:50:59.5695194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5695572Z x = self.forward_features(x) 2025-08-14T21:50:59.5695981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5696404Z x = self.blocks(x) 2025-08-14T21:50:59.5696766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5697164Z x = self.conv_pw(x) 2025-08-14T21:50:59.5697504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5697906Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5698314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5698738Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5698916Z 2025-08-14T21:50:59.5699909Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5700296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5700647Z return mod(*inputs) 2025-08-14T21:50:59.5700990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5701351Z x = self.forward_features(x) 2025-08-14T21:50:59.5701724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5702094Z x = self.blocks(x) 2025-08-14T21:50:59.5702442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5702813Z x = self.conv_pw(x) 2025-08-14T21:50:59.5703139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5703519Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5703917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5704320Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5704486Z 2025-08-14T21:50:59.5704597Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5704831Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5705084Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5705460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5705808Z return mod(*inputs) 2025-08-14T21:50:59.5706136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5706493Z x = self.forward_features(x) 2025-08-14T21:50:59.5706869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5707245Z x = self.blocks(x) 2025-08-14T21:50:59.5707587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5707968Z x = self.conv_pw(x) 2025-08-14T21:50:59.5708308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5708660Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5708793Z 2025-08-14T21:50:59.5708906Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5709294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5709641Z return mod(*inputs) 2025-08-14T21:50:59.5709975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5710357Z x = self.forward_features(x) 2025-08-14T21:50:59.5710730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5711121Z x = self.blocks(x) 2025-08-14T21:50:59.5711470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.5711866Z x = self.bn1(x) 2025-08-14T21:50:59.5712188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:59.5712545Z x = F.batch_norm( 2025-08-14T21:50:59.5712661Z 2025-08-14T21:50:59.5712768Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5713156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5713497Z return mod(*inputs) 2025-08-14T21:50:59.5713840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5714218Z x = self.forward_features(x) 2025-08-14T21:50:59.5714601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5714979Z x = self.blocks(x) 2025-08-14T21:50:59.5715335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.5715709Z x = self.bn1(x) 2025-08-14T21:50:59.5716029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.5716371Z x = self.act(x) 2025-08-14T21:50:59.5716478Z 2025-08-14T21:50:59.5716564Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5716821Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5717197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5717546Z return mod(*inputs) 2025-08-14T21:50:59.5717886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5718414Z x = self.forward_features(x) 2025-08-14T21:50:59.5718819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5719224Z x = self.blocks(x) 2025-08-14T21:50:59.5719640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5720015Z x = self.conv_dw(x) 2025-08-14T21:50:59.5720351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5720762Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5721169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5721583Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5721769Z 2025-08-14T21:50:59.5721883Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5722271Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5722617Z return mod(*inputs) 2025-08-14T21:50:59.5722966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5723337Z x = self.forward_features(x) 2025-08-14T21:50:59.5723724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5724101Z x = self.blocks(x) 2025-08-14T21:50:59.5724458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5724838Z x = self.conv_dw(x) 2025-08-14T21:50:59.5725163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5725565Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5725798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5725954Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5725984Z 2025-08-14T21:50:59.5726072Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5726188Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5726436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5726506Z return mod(*inputs) 2025-08-14T21:50:59.5726740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5726811Z x = self.forward_features(x) 2025-08-14T21:50:59.5727074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5727139Z x = self.blocks(x) 2025-08-14T21:50:59.5727385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5727460Z x = self.conv_dw(x) 2025-08-14T21:50:59.5727692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5727800Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5728049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5728158Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5728162Z 2025-08-14T21:50:59.5728282Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5728493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5728564Z return mod(*inputs) 2025-08-14T21:50:59.5728800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5728877Z x = self.forward_features(x) 2025-08-14T21:50:59.5729133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5729227Z x = self.blocks(x) 2025-08-14T21:50:59.5729478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5729548Z x = self.conv_dw(x) 2025-08-14T21:50:59.5729769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5729873Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5730106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5730211Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5730214Z 2025-08-14T21:50:59.5730305Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5730389Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5730496Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5730794Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5730872Z return mod(*inputs) 2025-08-14T21:50:59.5731106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5731188Z x = self.forward_features(x) 2025-08-14T21:50:59.5731439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5731508Z x = self.blocks(x) 2025-08-14T21:50:59.5731751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5731816Z x = self.conv_dw(x) 2025-08-14T21:50:59.5732044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5732147Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5732152Z 2025-08-14T21:50:59.5732233Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5732364Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5732598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5732678Z return mod(*inputs) 2025-08-14T21:50:59.5732910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5732985Z x = self.forward_features(x) 2025-08-14T21:50:59.5733247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5733316Z x = self.blocks(x) 2025-08-14T21:50:59.5733566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5733642Z x = self.se(x) 2025-08-14T21:50:59.5733888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:59.5733977Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:59.5733981Z 2025-08-14T21:50:59.5734093Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5734310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5734393Z return mod(*inputs) 2025-08-14T21:50:59.5734623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5734813Z x = self.forward_features(x) 2025-08-14T21:50:59.5735082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5735147Z x = self.blocks(x) 2025-08-14T21:50:59.5735400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5735468Z x = self.se(x) 2025-08-14T21:50:59.5735729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.5735815Z x_se = self.act1(x_se) 2025-08-14T21:50:59.5735820Z 2025-08-14T21:50:59.5735933Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5736148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5736228Z return mod(*inputs) 2025-08-14T21:50:59.5736457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5736537Z x = self.forward_features(x) 2025-08-14T21:50:59.5736790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5736859Z x = self.blocks(x) 2025-08-14T21:50:59.5737116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5737181Z x = self.se(x) 2025-08-14T21:50:59.5737429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.5737514Z x_se = self.act1(x_se) 2025-08-14T21:50:59.5737517Z 2025-08-14T21:50:59.5737627Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5737850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5737922Z return mod(*inputs) 2025-08-14T21:50:59.5738153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5738237Z x = self.forward_features(x) 2025-08-14T21:50:59.5738493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5738602Z x = self.blocks(x) 2025-08-14T21:50:59.5738852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5738936Z x = self.se(x) 2025-08-14T21:50:59.5739203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5739281Z return x * self.gate(x_se) 2025-08-14T21:50:59.5739285Z 2025-08-14T21:50:59.5739394Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5739618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5739688Z return mod(*inputs) 2025-08-14T21:50:59.5739923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5739997Z x = self.forward_features(x) 2025-08-14T21:50:59.5740262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5740340Z x = self.blocks(x) 2025-08-14T21:50:59.5740587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5740652Z x = self.se(x) 2025-08-14T21:50:59.5740904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5740979Z return x * self.gate(x_se) 2025-08-14T21:50:59.5740982Z 2025-08-14T21:50:59.5741099Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5741311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5741380Z return mod(*inputs) 2025-08-14T21:50:59.5741618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5741693Z x = self.forward_features(x) 2025-08-14T21:50:59.5741949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5742029Z x = self.blocks(x) 2025-08-14T21:50:59.5742298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5742373Z x = self.se(x) 2025-08-14T21:50:59.5742616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5742691Z return x * self.gate(x_se) 2025-08-14T21:50:59.5742695Z 2025-08-14T21:50:59.5742789Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5742900Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5743136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5743208Z return mod(*inputs) 2025-08-14T21:50:59.5743439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5743521Z x = self.forward_features(x) 2025-08-14T21:50:59.5743776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5743845Z x = self.blocks(x) 2025-08-14T21:50:59.5744098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5744171Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5744404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5744518Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5744755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5744874Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5744899Z 2025-08-14T21:50:59.5745010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5745221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5745317Z return mod(*inputs) 2025-08-14T21:50:59.5745564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5745646Z x = self.forward_features(x) 2025-08-14T21:50:59.5745900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5745964Z x = self.blocks(x) 2025-08-14T21:50:59.5746208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5746277Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5746502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5746622Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5746859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5746977Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5746980Z 2025-08-14T21:50:59.5747068Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5747178Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5747398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5747467Z return mod(*inputs) 2025-08-14T21:50:59.5747710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5747784Z x = self.forward_features(x) 2025-08-14T21:50:59.5748034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5748110Z x = self.blocks(x) 2025-08-14T21:50:59.5748352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5748448Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5748683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5748791Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5749036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5749143Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5749147Z 2025-08-14T21:50:59.5749258Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5749478Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5749549Z return mod(*inputs) 2025-08-14T21:50:59.5749784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5749866Z x = self.forward_features(x) 2025-08-14T21:50:59.5750121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5750200Z x = self.blocks(x) 2025-08-14T21:50:59.5750443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5750515Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5750753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5750856Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5751080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5751191Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5751214Z 2025-08-14T21:50:59.5751299Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5751390Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5751549Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5751776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5751854Z return mod(*inputs) 2025-08-14T21:50:59.5752076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5752158Z x = self.forward_features(x) 2025-08-14T21:50:59.5752402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5752467Z x = self.blocks(x) 2025-08-14T21:50:59.5752708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5752779Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5752998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5753077Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5753082Z 2025-08-14T21:50:59.5753189Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5753405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5753471Z return mod(*inputs) 2025-08-14T21:50:59.5753693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5753772Z x = self.forward_features(x) 2025-08-14T21:50:59.5754016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5754081Z x = self.blocks(x) 2025-08-14T21:50:59.5754326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:59.5754406Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:59.5754409Z 2025-08-14T21:50:59.5754525Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5754748Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5754819Z return mod(*inputs) 2025-08-14T21:50:59.5755054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5755127Z x = self.forward_features(x) 2025-08-14T21:50:59.5755374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5755447Z x = self.blocks(x) 2025-08-14T21:50:59.5755684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5755757Z x = self.conv_pw(x) 2025-08-14T21:50:59.5755975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5756083Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5756332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5756444Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5756448Z 2025-08-14T21:50:59.5756563Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5756773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5756844Z return mod(*inputs) 2025-08-14T21:50:59.5757079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5757152Z x = self.forward_features(x) 2025-08-14T21:50:59.5757404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5757502Z x = self.blocks(x) 2025-08-14T21:50:59.5757750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5757844Z x = self.conv_pw(x) 2025-08-14T21:50:59.5758081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5758191Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5758428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5758535Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5758539Z 2025-08-14T21:50:59.5758649Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5758868Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5758939Z return mod(*inputs) 2025-08-14T21:50:59.5759172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5759248Z x = self.forward_features(x) 2025-08-14T21:50:59.5759500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5759575Z x = self.blocks(x) 2025-08-14T21:50:59.5759819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5759889Z x = self.conv_pw(x) 2025-08-14T21:50:59.5760115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5760220Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5760461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5760568Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5760572Z 2025-08-14T21:50:59.5760679Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5760938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5761008Z return mod(*inputs) 2025-08-14T21:50:59.5761236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5761308Z x = self.forward_features(x) 2025-08-14T21:50:59.5761556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5761629Z x = self.blocks(x) 2025-08-14T21:50:59.5761865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5761932Z x = self.conv_pw(x) 2025-08-14T21:50:59.5762155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5762262Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5762501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5762609Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5762612Z 2025-08-14T21:50:59.5762696Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5762784Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5762892Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5763101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5763177Z return mod(*inputs) 2025-08-14T21:50:59.5763407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5763514Z x = self.forward_features(x) 2025-08-14T21:50:59.5763770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5763855Z x = self.blocks(x) 2025-08-14T21:50:59.5764122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5764191Z x = self.conv_pw(x) 2025-08-14T21:50:59.5764407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5764484Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5764488Z 2025-08-14T21:50:59.5764593Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5764808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5764877Z return mod(*inputs) 2025-08-14T21:50:59.5765098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5765180Z x = self.forward_features(x) 2025-08-14T21:50:59.5765426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5765500Z x = self.blocks(x) 2025-08-14T21:50:59.5765740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.5765806Z x = self.bn1(x) 2025-08-14T21:50:59.5766029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:59.5766099Z x = F.batch_norm( 2025-08-14T21:50:59.5766102Z 2025-08-14T21:50:59.5766219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5766452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5766520Z return mod(*inputs) 2025-08-14T21:50:59.5766754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5766829Z x = self.forward_features(x) 2025-08-14T21:50:59.5767105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5767178Z x = self.blocks(x) 2025-08-14T21:50:59.5767425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.5767490Z x = self.bn1(x) 2025-08-14T21:50:59.5767722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.5767789Z x = self.act(x) 2025-08-14T21:50:59.5767793Z 2025-08-14T21:50:59.5767885Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5767993Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5768220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5768300Z return mod(*inputs) 2025-08-14T21:50:59.5768532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5768611Z x = self.forward_features(x) 2025-08-14T21:50:59.5768873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5768940Z x = self.blocks(x) 2025-08-14T21:50:59.5769194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5769262Z x = self.conv_dw(x) 2025-08-14T21:50:59.5769491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5769610Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5769851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5769985Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5769996Z 2025-08-14T21:50:59.5770123Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5770344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5770439Z return mod(*inputs) 2025-08-14T21:50:59.5770733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5770823Z x = self.forward_features(x) 2025-08-14T21:50:59.5771092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5771161Z x = self.blocks(x) 2025-08-14T21:50:59.5771418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5771487Z x = self.conv_dw(x) 2025-08-14T21:50:59.5771716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5771832Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5772076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5772192Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5772196Z 2025-08-14T21:50:59.5772291Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5772403Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5772629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5772700Z return mod(*inputs) 2025-08-14T21:50:59.5772931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5773015Z x = self.forward_features(x) 2025-08-14T21:50:59.5773274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5773342Z x = self.blocks(x) 2025-08-14T21:50:59.5773626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5773696Z x = self.conv_dw(x) 2025-08-14T21:50:59.5773927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5774036Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5774267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5774379Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5774383Z 2025-08-14T21:50:59.5774493Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5774711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5774781Z return mod(*inputs) 2025-08-14T21:50:59.5775009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5775090Z x = self.forward_features(x) 2025-08-14T21:50:59.5775346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5775414Z x = self.blocks(x) 2025-08-14T21:50:59.5775667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5775735Z x = self.conv_dw(x) 2025-08-14T21:50:59.5775974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5776085Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5776326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5776462Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5776487Z 2025-08-14T21:50:59.5776575Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5776660Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5776801Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5777015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5777091Z return mod(*inputs) 2025-08-14T21:50:59.5777314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5777387Z x = self.forward_features(x) 2025-08-14T21:50:59.5777645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5777712Z x = self.blocks(x) 2025-08-14T21:50:59.5777954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5778031Z x = self.conv_dw(x) 2025-08-14T21:50:59.5778254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5778335Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5778340Z 2025-08-14T21:50:59.5778425Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5778533Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5778747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5778816Z return mod(*inputs) 2025-08-14T21:50:59.5779040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5779122Z x = self.forward_features(x) 2025-08-14T21:50:59.5779373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5779452Z x = self.blocks(x) 2025-08-14T21:50:59.5779716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5779785Z x = self.se(x) 2025-08-14T21:50:59.5780040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:59.5780123Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:59.5780127Z 2025-08-14T21:50:59.5780237Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5780456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5780525Z return mod(*inputs) 2025-08-14T21:50:59.5780758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5780831Z x = self.forward_features(x) 2025-08-14T21:50:59.5781092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5781164Z x = self.blocks(x) 2025-08-14T21:50:59.5781406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5781475Z x = self.se(x) 2025-08-14T21:50:59.5781708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.5781778Z x_se = self.act1(x_se) 2025-08-14T21:50:59.5781781Z 2025-08-14T21:50:59.5781894Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5782097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5782163Z return mod(*inputs) 2025-08-14T21:50:59.5782393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5782489Z x = self.forward_features(x) 2025-08-14T21:50:59.5782746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5782834Z x = self.blocks(x) 2025-08-14T21:50:59.5783101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5783172Z x = self.se(x) 2025-08-14T21:50:59.5783406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.5783476Z x_se = self.act1(x_se) 2025-08-14T21:50:59.5783480Z 2025-08-14T21:50:59.5783594Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5783802Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5783876Z return mod(*inputs) 2025-08-14T21:50:59.5784098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5784172Z x = self.forward_features(x) 2025-08-14T21:50:59.5784424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5784491Z x = self.blocks(x) 2025-08-14T21:50:59.5784728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5784799Z x = self.se(x) 2025-08-14T21:50:59.5785032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5785110Z return x * self.gate(x_se) 2025-08-14T21:50:59.5785114Z 2025-08-14T21:50:59.5785219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5785427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5785501Z return mod(*inputs) 2025-08-14T21:50:59.5785723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5785796Z x = self.forward_features(x) 2025-08-14T21:50:59.5786073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5786142Z x = self.blocks(x) 2025-08-14T21:50:59.5786386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5786448Z x = self.se(x) 2025-08-14T21:50:59.5786682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5786767Z return x * self.gate(x_se) 2025-08-14T21:50:59.5786771Z 2025-08-14T21:50:59.5786878Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5787095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5787167Z return mod(*inputs) 2025-08-14T21:50:59.5787403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5787483Z x = self.forward_features(x) 2025-08-14T21:50:59.5787734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5787799Z x = self.blocks(x) 2025-08-14T21:50:59.5788041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5788103Z x = self.se(x) 2025-08-14T21:50:59.5788345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5788415Z return x * self.gate(x_se) 2025-08-14T21:50:59.5788418Z 2025-08-14T21:50:59.5788497Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5788608Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5788839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5788908Z return mod(*inputs) 2025-08-14T21:50:59.5789161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5789251Z x = self.forward_features(x) 2025-08-14T21:50:59.5789513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5789578Z x = self.blocks(x) 2025-08-14T21:50:59.5789813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5789890Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5790107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5790216Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5790451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5790561Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5790566Z 2025-08-14T21:50:59.5790682Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5790887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5790956Z return mod(*inputs) 2025-08-14T21:50:59.5791183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5791256Z x = self.forward_features(x) 2025-08-14T21:50:59.5791507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5791571Z x = self.blocks(x) 2025-08-14T21:50:59.5791807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5791889Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5792136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5792251Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5792496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5792607Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5792611Z 2025-08-14T21:50:59.5792707Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5792818Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5793032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5793117Z return mod(*inputs) 2025-08-14T21:50:59.5793446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5793530Z x = self.forward_features(x) 2025-08-14T21:50:59.5793786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5793853Z x = self.blocks(x) 2025-08-14T21:50:59.5794096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5794166Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5794380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5794491Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5794715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5794822Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5794833Z 2025-08-14T21:50:59.5794967Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5795174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5795276Z return mod(*inputs) 2025-08-14T21:50:59.5795523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5795596Z x = self.forward_features(x) 2025-08-14T21:50:59.5795851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5795916Z x = self.blocks(x) 2025-08-14T21:50:59.5796159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5796229Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5796442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5796555Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5796782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5796891Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5796895Z 2025-08-14T21:50:59.5796987Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5797068Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5797180Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5797386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5797453Z return mod(*inputs) 2025-08-14T21:50:59.5797680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5797754Z x = self.forward_features(x) 2025-08-14T21:50:59.5797999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5798074Z x = self.blocks(x) 2025-08-14T21:50:59.5798335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5798416Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5798632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5798701Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5798705Z 2025-08-14T21:50:59.5798814Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5799019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5799087Z return mod(*inputs) 2025-08-14T21:50:59.5799311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5799382Z x = self.forward_features(x) 2025-08-14T21:50:59.5799635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5799701Z x = self.blocks(x) 2025-08-14T21:50:59.5799954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:59.5800061Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:59.5800067Z 2025-08-14T21:50:59.5800178Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5800389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5800455Z return mod(*inputs) 2025-08-14T21:50:59.5800675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5800752Z x = self.forward_features(x) 2025-08-14T21:50:59.5801001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5801092Z x = self.blocks(x) 2025-08-14T21:50:59.5801349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5801442Z x = self.conv_pw(x) 2025-08-14T21:50:59.5801676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5801806Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5802041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5802156Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5802159Z 2025-08-14T21:50:59.5802266Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5802487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5802561Z return mod(*inputs) 2025-08-14T21:50:59.5802782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5802862Z x = self.forward_features(x) 2025-08-14T21:50:59.5803116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5803184Z x = self.blocks(x) 2025-08-14T21:50:59.5803451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5803519Z x = self.conv_pw(x) 2025-08-14T21:50:59.5803759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5803878Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5804135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5804250Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5804256Z 2025-08-14T21:50:59.5804364Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5804610Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5804692Z return mod(*inputs) 2025-08-14T21:50:59.5804931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5805014Z x = self.forward_features(x) 2025-08-14T21:50:59.5805284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5805350Z x = self.blocks(x) 2025-08-14T21:50:59.5805613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5805683Z x = self.conv_pw(x) 2025-08-14T21:50:59.5805916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5806034Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5806293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5806413Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5806418Z 2025-08-14T21:50:59.5806530Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5806758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5806836Z return mod(*inputs) 2025-08-14T21:50:59.5807073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5807148Z x = self.forward_features(x) 2025-08-14T21:50:59.5807406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5807493Z x = self.blocks(x) 2025-08-14T21:50:59.5807756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5807853Z x = self.conv_pw(x) 2025-08-14T21:50:59.5808095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5808231Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5808472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5808588Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5808592Z 2025-08-14T21:50:59.5808678Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5808763Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5808881Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5809093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5809165Z return mod(*inputs) 2025-08-14T21:50:59.5809397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5809475Z x = self.forward_features(x) 2025-08-14T21:50:59.5809736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5809801Z x = self.blocks(x) 2025-08-14T21:50:59.5810044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5810120Z x = self.conv_pw(x) 2025-08-14T21:50:59.5810352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5810422Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5810426Z 2025-08-14T21:50:59.5810541Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5810872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5810954Z return mod(*inputs) 2025-08-14T21:50:59.5811209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5811287Z x = self.forward_features(x) 2025-08-14T21:50:59.5811565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5811634Z x = self.blocks(x) 2025-08-14T21:50:59.5811887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.5811960Z x = self.bn1(x) 2025-08-14T21:50:59.5812173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:59.5812248Z x = F.batch_norm( 2025-08-14T21:50:59.5812252Z 2025-08-14T21:50:59.5812364Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5812575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5812656Z return mod(*inputs) 2025-08-14T21:50:59.5812881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5812957Z x = self.forward_features(x) 2025-08-14T21:50:59.5813218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5813286Z x = self.blocks(x) 2025-08-14T21:50:59.5813539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.5813606Z x = self.bn1(x) 2025-08-14T21:50:59.5813820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.5813892Z x = self.act(x) 2025-08-14T21:50:59.5813915Z 2025-08-14T21:50:59.5814000Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5814106Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5814350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5814420Z return mod(*inputs) 2025-08-14T21:50:59.5814669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5814747Z x = self.forward_features(x) 2025-08-14T21:50:59.5814998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5815072Z x = self.blocks(x) 2025-08-14T21:50:59.5815316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5815383Z x = self.conv_dw(x) 2025-08-14T21:50:59.5815611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5815722Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5815969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5816082Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5816087Z 2025-08-14T21:50:59.5816198Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5816412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5816479Z return mod(*inputs) 2025-08-14T21:50:59.5816711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5816784Z x = self.forward_features(x) 2025-08-14T21:50:59.5817034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5817111Z x = self.blocks(x) 2025-08-14T21:50:59.5817357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5817445Z x = self.conv_dw(x) 2025-08-14T21:50:59.5817673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5817784Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5818022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5818129Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5818132Z 2025-08-14T21:50:59.5818347Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5818477Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5818689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5818763Z return mod(*inputs) 2025-08-14T21:50:59.5819005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5819081Z x = self.forward_features(x) 2025-08-14T21:50:59.5819335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5819400Z x = self.blocks(x) 2025-08-14T21:50:59.5819638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5819714Z x = self.conv_dw(x) 2025-08-14T21:50:59.5819927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5820033Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5820268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5820468Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5820472Z 2025-08-14T21:50:59.5820585Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5820828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5820922Z return mod(*inputs) 2025-08-14T21:50:59.5821154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5821228Z x = self.forward_features(x) 2025-08-14T21:50:59.5821485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5821553Z x = self.blocks(x) 2025-08-14T21:50:59.5821792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5821868Z x = self.conv_dw(x) 2025-08-14T21:50:59.5822086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5822191Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5822428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5822536Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5822539Z 2025-08-14T21:50:59.5822634Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5822716Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5822823Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5823056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5823123Z return mod(*inputs) 2025-08-14T21:50:59.5823344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5823425Z x = self.forward_features(x) 2025-08-14T21:50:59.5823667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5823754Z x = self.blocks(x) 2025-08-14T21:50:59.5824023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5824092Z x = self.conv_dw(x) 2025-08-14T21:50:59.5824316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5824386Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5824390Z 2025-08-14T21:50:59.5824479Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5824584Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5824793Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5824869Z return mod(*inputs) 2025-08-14T21:50:59.5825094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5825167Z x = self.forward_features(x) 2025-08-14T21:50:59.5825427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5825492Z x = self.blocks(x) 2025-08-14T21:50:59.5825741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5825804Z x = self.se(x) 2025-08-14T21:50:59.5826043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:59.5826128Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:59.5826132Z 2025-08-14T21:50:59.5826239Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5826447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5826547Z return mod(*inputs) 2025-08-14T21:50:59.5826779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5826883Z x = self.forward_features(x) 2025-08-14T21:50:59.5827147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5827213Z x = self.blocks(x) 2025-08-14T21:50:59.5827459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5827522Z x = self.se(x) 2025-08-14T21:50:59.5827754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.5827832Z x_se = self.act1(x_se) 2025-08-14T21:50:59.5827836Z 2025-08-14T21:50:59.5827941Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5828151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5828220Z return mod(*inputs) 2025-08-14T21:50:59.5828440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5828522Z x = self.forward_features(x) 2025-08-14T21:50:59.5828770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5828833Z x = self.blocks(x) 2025-08-14T21:50:59.5829079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5829141Z x = self.se(x) 2025-08-14T21:50:59.5829378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.5829448Z x_se = self.act1(x_se) 2025-08-14T21:50:59.5829452Z 2025-08-14T21:50:59.5829556Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5829769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5829835Z return mod(*inputs) 2025-08-14T21:50:59.5830074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5830156Z x = self.forward_features(x) 2025-08-14T21:50:59.5830400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5830471Z x = self.blocks(x) 2025-08-14T21:50:59.5830705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5830767Z x = self.se(x) 2025-08-14T21:50:59.5831006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5831077Z return x * self.gate(x_se) 2025-08-14T21:50:59.5831080Z 2025-08-14T21:50:59.5831193Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5831398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5831469Z return mod(*inputs) 2025-08-14T21:50:59.5831704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5831775Z x = self.forward_features(x) 2025-08-14T21:50:59.5832018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5832090Z x = self.blocks(x) 2025-08-14T21:50:59.5832326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5832394Z x = self.se(x) 2025-08-14T21:50:59.5832626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5832728Z return x * self.gate(x_se) 2025-08-14T21:50:59.5832732Z 2025-08-14T21:50:59.5832845Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5833054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5833141Z return mod(*inputs) 2025-08-14T21:50:59.5833387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5833460Z x = self.forward_features(x) 2025-08-14T21:50:59.5833717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5833781Z x = self.blocks(x) 2025-08-14T21:50:59.5834020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5834088Z x = self.se(x) 2025-08-14T21:50:59.5834325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5834397Z return x * self.gate(x_se) 2025-08-14T21:50:59.5834408Z 2025-08-14T21:50:59.5834491Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5834601Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5834817Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5834885Z return mod(*inputs) 2025-08-14T21:50:59.5835111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5835191Z x = self.forward_features(x) 2025-08-14T21:50:59.5835438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5835503Z x = self.blocks(x) 2025-08-14T21:50:59.5835749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5835821Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5836049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5836178Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5836410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5836526Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5836530Z 2025-08-14T21:50:59.5836638Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5836855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5836925Z return mod(*inputs) 2025-08-14T21:50:59.5837149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5837232Z x = self.forward_features(x) 2025-08-14T21:50:59.5837480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5837548Z x = self.blocks(x) 2025-08-14T21:50:59.5837798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5837870Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5838098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5838208Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5838437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5838552Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5838555Z 2025-08-14T21:50:59.5838642Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5838751Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5838986Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5839054Z return mod(*inputs) 2025-08-14T21:50:59.5839305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5839378Z x = self.forward_features(x) 2025-08-14T21:50:59.5839643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5839718Z x = self.blocks(x) 2025-08-14T21:50:59.5839952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5840020Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5840240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5840346Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5840584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5840688Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5840695Z 2025-08-14T21:50:59.5840801Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5841019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5841089Z return mod(*inputs) 2025-08-14T21:50:59.5841317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5841390Z x = self.forward_features(x) 2025-08-14T21:50:59.5841637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5841710Z x = self.blocks(x) 2025-08-14T21:50:59.5841946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5842018Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5842239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5842368Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5842603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5842708Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5842712Z 2025-08-14T21:50:59.5842794Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5842884Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5842988Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5843195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5843270Z return mod(*inputs) 2025-08-14T21:50:59.5843489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5843569Z x = self.forward_features(x) 2025-08-14T21:50:59.5843815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5843880Z x = self.blocks(x) 2025-08-14T21:50:59.5844124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5844193Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5844406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5844480Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5844484Z 2025-08-14T21:50:59.5844588Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5844800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5844891Z return mod(*inputs) 2025-08-14T21:50:59.5845111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5845882Z x = self.forward_features(x) 2025-08-14T21:50:59.5846135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5846231Z x = self.blocks(x) 2025-08-14T21:50:59.5846471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:59.5846547Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:59.5846551Z 2025-08-14T21:50:59.5846662Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5846865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5846932Z return mod(*inputs) 2025-08-14T21:50:59.5847164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5847238Z x = self.forward_features(x) 2025-08-14T21:50:59.5847498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5847567Z x = self.blocks(x) 2025-08-14T21:50:59.5847812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.5847884Z x = self.bn1(x) 2025-08-14T21:50:59.5848104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.5848169Z x = self.act(x) 2025-08-14T21:50:59.5848173Z 2025-08-14T21:50:59.5848290Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5848512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5848588Z return mod(*inputs) 2025-08-14T21:50:59.5848815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5848891Z x = self.forward_features(x) 2025-08-14T21:50:59.5849177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5849247Z x = self.blocks(x) 2025-08-14T21:50:59.5849494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.5849567Z x = self.bn1(x) 2025-08-14T21:50:59.5849786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.5849859Z x = self.act(x) 2025-08-14T21:50:59.5849863Z 2025-08-14T21:50:59.5849970Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5850196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5853708Z return mod(*inputs) 2025-08-14T21:50:59.5853970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5854053Z x = self.forward_features(x) 2025-08-14T21:50:59.5854342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5854415Z x = self.blocks(x) 2025-08-14T21:50:59.5854672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5854755Z x = self.conv_dw(x) 2025-08-14T21:50:59.5854988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5855118Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5855359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5855510Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5855744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5855853Z return conv2d_same( 2025-08-14T21:50:59.5856090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:59.5856239Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:59.5856461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:59.5856631Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:59.5856847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:59.5856960Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:59.5856965Z 2025-08-14T21:50:59.5857091Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5857319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5857391Z return mod(*inputs) 2025-08-14T21:50:59.5857635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5857714Z x = self.forward_features(x) 2025-08-14T21:50:59.5857977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5858046Z x = self.blocks(x) 2025-08-14T21:50:59.5858294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5858371Z x = self.conv_dw(x) 2025-08-14T21:50:59.5858595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5858707Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5858952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5859103Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5859335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5859405Z return conv2d_same( 2025-08-14T21:50:59.5859636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5859790Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5859795Z 2025-08-14T21:50:59.5859909Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5860134Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5860211Z return mod(*inputs) 2025-08-14T21:50:59.5860449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5860609Z x = self.forward_features(x) 2025-08-14T21:50:59.5860880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5860950Z x = self.blocks(x) 2025-08-14T21:50:59.5861218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5861287Z x = self.conv_dw(x) 2025-08-14T21:50:59.5861536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5861647Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5861880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5861996Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5862221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5862290Z return conv2d_same( 2025-08-14T21:50:59.5862547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5862702Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5862707Z 2025-08-14T21:50:59.5862825Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5863037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5863104Z return mod(*inputs) 2025-08-14T21:50:59.5863334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5863407Z x = self.forward_features(x) 2025-08-14T21:50:59.5863653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5863726Z x = self.blocks(x) 2025-08-14T21:50:59.5863968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5864045Z x = self.conv_dw(x) 2025-08-14T21:50:59.5864272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5864382Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5864620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5864727Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5864953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5865020Z return conv2d_same( 2025-08-14T21:50:59.5865251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:59.5865375Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:59.5865617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:59.5865779Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:59.5865996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:59.5866104Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:59.5866108Z 2025-08-14T21:50:59.5866226Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5866438Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5866508Z return mod(*inputs) 2025-08-14T21:50:59.5866743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5866858Z x = self.forward_features(x) 2025-08-14T21:50:59.5867114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5867202Z x = self.blocks(x) 2025-08-14T21:50:59.5867442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5867515Z x = self.conv_dw(x) 2025-08-14T21:50:59.5867737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5867843Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5868076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5868181Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5868402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5868472Z return conv2d_same( 2025-08-14T21:50:59.5868701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5868867Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5868892Z 2025-08-14T21:50:59.5869001Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5869210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5869288Z return mod(*inputs) 2025-08-14T21:50:59.5869513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5869593Z x = self.forward_features(x) 2025-08-14T21:50:59.5869837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5869903Z x = self.blocks(x) 2025-08-14T21:50:59.5870146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5870214Z x = self.conv_dw(x) 2025-08-14T21:50:59.5870430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5870547Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5870771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5870881Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5871096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5871162Z return conv2d_same( 2025-08-14T21:50:59.5871389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5871525Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5871529Z 2025-08-14T21:50:59.5871643Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5871871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5871942Z return mod(*inputs) 2025-08-14T21:50:59.5872173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5872246Z x = self.forward_features(x) 2025-08-14T21:50:59.5872489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5872564Z x = self.blocks(x) 2025-08-14T21:50:59.5872798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5872871Z x = self.conv_dw(x) 2025-08-14T21:50:59.5873107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5873212Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5873446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5873552Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5873763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5873836Z return conv2d_same( 2025-08-14T21:50:59.5874058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:59.5874173Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:59.5874382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:59.5874534Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:59.5874741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:59.5874870Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:59.5874874Z 2025-08-14T21:50:59.5875008Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5875220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5875289Z return mod(*inputs) 2025-08-14T21:50:59.5875519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5875590Z x = self.forward_features(x) 2025-08-14T21:50:59.5875837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5875911Z x = self.blocks(x) 2025-08-14T21:50:59.5876153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5876223Z x = self.conv_dw(x) 2025-08-14T21:50:59.5876443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5876549Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5876780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5876886Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5877098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5877173Z return conv2d_same( 2025-08-14T21:50:59.5877398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5877538Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5877542Z 2025-08-14T21:50:59.5877648Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5877879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5877956Z return mod(*inputs) 2025-08-14T21:50:59.5878179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5878249Z x = self.forward_features(x) 2025-08-14T21:50:59.5878500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5878566Z x = self.blocks(x) 2025-08-14T21:50:59.5878808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5878872Z x = self.conv_dw(x) 2025-08-14T21:50:59.5879084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5879219Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5879448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5879561Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5879771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.5879837Z return conv2d_same( 2025-08-14T21:50:59.5880063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.5880191Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.5880195Z 2025-08-14T21:50:59.5880283Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5880377Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5880460Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5880575Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5880781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5880871Z return mod(*inputs) 2025-08-14T21:50:59.5881139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5881216Z x = self.forward_features(x) 2025-08-14T21:50:59.5881461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5881534Z x = self.blocks(x) 2025-08-14T21:50:59.5881771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5881842Z x = self.conv_dw(x) 2025-08-14T21:50:59.5882054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5882128Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5882132Z 2025-08-14T21:50:59.5882221Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5882333Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5882539Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5882616Z return mod(*inputs) 2025-08-14T21:50:59.5882835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5882912Z x = self.forward_features(x) 2025-08-14T21:50:59.5883155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5883220Z x = self.blocks(x) 2025-08-14T21:50:59.5883462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5883525Z x = self.se(x) 2025-08-14T21:50:59.5883763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:59.5883851Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:59.5883856Z 2025-08-14T21:50:59.5883980Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5884196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5884262Z return mod(*inputs) 2025-08-14T21:50:59.5884483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5884562Z x = self.forward_features(x) 2025-08-14T21:50:59.5884806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5884871Z x = self.blocks(x) 2025-08-14T21:50:59.5885126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5885214Z x = self.se(x) 2025-08-14T21:50:59.5885459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.5885535Z x_se = self.act1(x_se) 2025-08-14T21:50:59.5885539Z 2025-08-14T21:50:59.5885648Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5885866Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5885932Z return mod(*inputs) 2025-08-14T21:50:59.5886158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5886232Z x = self.forward_features(x) 2025-08-14T21:50:59.5886477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5886549Z x = self.blocks(x) 2025-08-14T21:50:59.5886786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5886850Z x = self.se(x) 2025-08-14T21:50:59.5887099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.5887191Z x_se = self.act1(x_se) 2025-08-14T21:50:59.5887195Z 2025-08-14T21:50:59.5887330Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5887538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5887606Z return mod(*inputs) 2025-08-14T21:50:59.5887834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5887906Z x = self.forward_features(x) 2025-08-14T21:50:59.5888149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5888225Z x = self.blocks(x) 2025-08-14T21:50:59.5888461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5888534Z x = self.se(x) 2025-08-14T21:50:59.5888767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5888842Z return x * self.gate(x_se) 2025-08-14T21:50:59.5888846Z 2025-08-14T21:50:59.5888959Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5889166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5889233Z return mod(*inputs) 2025-08-14T21:50:59.5889460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5889532Z x = self.forward_features(x) 2025-08-14T21:50:59.5889781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5889848Z x = self.blocks(x) 2025-08-14T21:50:59.5890084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5890178Z x = self.se(x) 2025-08-14T21:50:59.5890417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5890491Z return x * self.gate(x_se) 2025-08-14T21:50:59.5890501Z 2025-08-14T21:50:59.5890608Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5891095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5891181Z return mod(*inputs) 2025-08-14T21:50:59.5891409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5891485Z x = self.forward_features(x) 2025-08-14T21:50:59.5891776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5891844Z x = self.blocks(x) 2025-08-14T21:50:59.5892098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5892163Z x = self.se(x) 2025-08-14T21:50:59.5892404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5892487Z return x * self.gate(x_se) 2025-08-14T21:50:59.5892492Z 2025-08-14T21:50:59.5892600Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5892807Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5892892Z return mod(*inputs) 2025-08-14T21:50:59.5893110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5893192Z x = self.forward_features(x) 2025-08-14T21:50:59.5893435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5893524Z x = self.blocks(x) 2025-08-14T21:50:59.5893770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5893862Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5893867Z 2025-08-14T21:50:59.5893973Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5894187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5894256Z return mod(*inputs) 2025-08-14T21:50:59.5894499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5894573Z x = self.forward_features(x) 2025-08-14T21:50:59.5894824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5894899Z x = self.blocks(x) 2025-08-14T21:50:59.5895144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5895221Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5895232Z 2025-08-14T21:50:59.5895343Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5895551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5895627Z return mod(*inputs) 2025-08-14T21:50:59.5895853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5895927Z x = self.forward_features(x) 2025-08-14T21:50:59.5896195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5896261Z x = self.blocks(x) 2025-08-14T21:50:59.5896507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5896574Z x = self.conv_pw(x) 2025-08-14T21:50:59.5896812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5896934Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5897160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5897271Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5897274Z 2025-08-14T21:50:59.5897386Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5897591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5897668Z return mod(*inputs) 2025-08-14T21:50:59.5897891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5897986Z x = self.forward_features(x) 2025-08-14T21:50:59.5898239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5898305Z x = self.blocks(x) 2025-08-14T21:50:59.5898543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5898617Z x = self.conv_pw(x) 2025-08-14T21:50:59.5898838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5898956Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5899197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5899303Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5899307Z 2025-08-14T21:50:59.5899421Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5899630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5899735Z return mod(*inputs) 2025-08-14T21:50:59.5899955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5900048Z x = self.forward_features(x) 2025-08-14T21:50:59.5900300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5900365Z x = self.blocks(x) 2025-08-14T21:50:59.5900602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5900677Z x = self.conv_pw(x) 2025-08-14T21:50:59.5900893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5901003Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5901229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5901336Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5901339Z 2025-08-14T21:50:59.5901455Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5901660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5901726Z return mod(*inputs) 2025-08-14T21:50:59.5901953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5902025Z x = self.forward_features(x) 2025-08-14T21:50:59.5902278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5902344Z x = self.blocks(x) 2025-08-14T21:50:59.5902576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5902655Z x = self.conv_pw(x) 2025-08-14T21:50:59.5902893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5903001Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5903236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5903340Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5903343Z 2025-08-14T21:50:59.5903437Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5903520Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5903624Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5903835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5903924Z return mod(*inputs) 2025-08-14T21:50:59.5904162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5904236Z x = self.forward_features(x) 2025-08-14T21:50:59.5904487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5904560Z x = self.blocks(x) 2025-08-14T21:50:59.5904799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5904865Z x = self.conv_pw(x) 2025-08-14T21:50:59.5905094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5905165Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5905169Z 2025-08-14T21:50:59.5905283Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5905504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5905576Z return mod(*inputs) 2025-08-14T21:50:59.5905814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5905923Z x = self.forward_features(x) 2025-08-14T21:50:59.5906198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5906277Z x = self.blocks(x) 2025-08-14T21:50:59.5906531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.5906602Z x = self.bn1(x) 2025-08-14T21:50:59.5906824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:59.5906889Z x = F.batch_norm( 2025-08-14T21:50:59.5906893Z 2025-08-14T21:50:59.5907007Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5907217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5907284Z return mod(*inputs) 2025-08-14T21:50:59.5907524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5907598Z x = self.forward_features(x) 2025-08-14T21:50:59.5907857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5907922Z x = self.blocks(x) 2025-08-14T21:50:59.5908162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.5908233Z x = self.bn1(x) 2025-08-14T21:50:59.5908451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.5908515Z x = self.act(x) 2025-08-14T21:50:59.5908525Z 2025-08-14T21:50:59.5908609Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5908717Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5908930Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5909018Z return mod(*inputs) 2025-08-14T21:50:59.5909242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5909322Z x = self.forward_features(x) 2025-08-14T21:50:59.5909570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5909635Z x = self.blocks(x) 2025-08-14T21:50:59.5909885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5909951Z x = self.conv_dw(x) 2025-08-14T21:50:59.5910183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5910313Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5910547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5910666Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5910669Z 2025-08-14T21:50:59.5910777Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5910994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5911062Z return mod(*inputs) 2025-08-14T21:50:59.5911291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5911371Z x = self.forward_features(x) 2025-08-14T21:50:59.5911613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5911678Z x = self.blocks(x) 2025-08-14T21:50:59.5911922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5911990Z x = self.conv_dw(x) 2025-08-14T21:50:59.5912238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5912360Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5912596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5912712Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5912715Z 2025-08-14T21:50:59.5912798Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5912904Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5913127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5913194Z return mod(*inputs) 2025-08-14T21:50:59.5913424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5913496Z x = self.forward_features(x) 2025-08-14T21:50:59.5913755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5913823Z x = self.blocks(x) 2025-08-14T21:50:59.5914047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5914111Z x = self.conv_dw(x) 2025-08-14T21:50:59.5914322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5914421Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5914655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5914759Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5914764Z 2025-08-14T21:50:59.5914871Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5915108Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5915180Z return mod(*inputs) 2025-08-14T21:50:59.5915411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5915484Z x = self.forward_features(x) 2025-08-14T21:50:59.5915728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5915802Z x = self.blocks(x) 2025-08-14T21:50:59.5916038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5916104Z x = self.conv_dw(x) 2025-08-14T21:50:59.5916327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5916455Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5916689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5916794Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5916798Z 2025-08-14T21:50:59.5916883Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5917008Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5917202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5917266Z return mod(*inputs) 2025-08-14T21:50:59.5917483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5917553Z x = self.forward_features(x) 2025-08-14T21:50:59.5917791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5917853Z x = self.blocks(x) 2025-08-14T21:50:59.5918076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5918169Z x = self.conv_dw(x) 2025-08-14T21:50:59.5918600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5918722Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5918946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5919052Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5919056Z 2025-08-14T21:50:59.5919171Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5919377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5919447Z return mod(*inputs) 2025-08-14T21:50:59.5919674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5919746Z x = self.forward_features(x) 2025-08-14T21:50:59.5919995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5920062Z x = self.blocks(x) 2025-08-14T21:50:59.5920298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5920373Z x = self.conv_dw(x) 2025-08-14T21:50:59.5920584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5920689Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5920920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5921028Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5921031Z 2025-08-14T21:50:59.5921124Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5921232Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5921472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5921550Z return mod(*inputs) 2025-08-14T21:50:59.5921777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5921848Z x = self.forward_features(x) 2025-08-14T21:50:59.5922105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5922170Z x = self.blocks(x) 2025-08-14T21:50:59.5922417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5922482Z x = self.conv_dw(x) 2025-08-14T21:50:59.5922732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5922844Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5923069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5923180Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5923184Z 2025-08-14T21:50:59.5923293Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5923498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5923572Z return mod(*inputs) 2025-08-14T21:50:59.5923799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5923867Z x = self.forward_features(x) 2025-08-14T21:50:59.5924106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5924170Z x = self.blocks(x) 2025-08-14T21:50:59.5924408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5924507Z x = self.conv_dw(x) 2025-08-14T21:50:59.5924748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5924864Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5925094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5925197Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5925208Z 2025-08-14T21:50:59.5925293Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5925376Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5925465Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5925546Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5925653Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5925871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5925941Z return mod(*inputs) 2025-08-14T21:50:59.5926174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5926255Z x = self.forward_features(x) 2025-08-14T21:50:59.5926502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5926575Z x = self.blocks(x) 2025-08-14T21:50:59.5926846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5926911Z x = self.conv_dw(x) 2025-08-14T21:50:59.5927138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5927211Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5927215Z 2025-08-14T21:50:59.5927296Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5927432Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5927643Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5927721Z return mod(*inputs) 2025-08-14T21:50:59.5927955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5928030Z x = self.forward_features(x) 2025-08-14T21:50:59.5928289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5928356Z x = self.blocks(x) 2025-08-14T21:50:59.5928602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5928706Z x = self.se(x) 2025-08-14T21:50:59.5928955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:59.5929047Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:59.5929050Z 2025-08-14T21:50:59.5929161Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5929390Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5929468Z return mod(*inputs) 2025-08-14T21:50:59.5929703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5929784Z x = self.forward_features(x) 2025-08-14T21:50:59.5930033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5930099Z x = self.blocks(x) 2025-08-14T21:50:59.5930348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5930414Z x = self.se(x) 2025-08-14T21:50:59.5930658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.5930834Z x_se = self.act1(x_se) 2025-08-14T21:50:59.5930840Z 2025-08-14T21:50:59.5930977Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5931201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5931270Z return mod(*inputs) 2025-08-14T21:50:59.5931497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5931580Z x = self.forward_features(x) 2025-08-14T21:50:59.5931829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5931897Z x = self.blocks(x) 2025-08-14T21:50:59.5932148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5932212Z x = self.se(x) 2025-08-14T21:50:59.5932462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.5932535Z x_se = self.act1(x_se) 2025-08-14T21:50:59.5932539Z 2025-08-14T21:50:59.5932649Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5932869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5932938Z return mod(*inputs) 2025-08-14T21:50:59.5933164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5933246Z x = self.forward_features(x) 2025-08-14T21:50:59.5933496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5933572Z x = self.blocks(x) 2025-08-14T21:50:59.5933812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5933901Z x = self.se(x) 2025-08-14T21:50:59.5934153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5934227Z return x * self.gate(x_se) 2025-08-14T21:50:59.5934231Z 2025-08-14T21:50:59.5934344Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5934565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5934634Z return mod(*inputs) 2025-08-14T21:50:59.5934866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5934941Z x = self.forward_features(x) 2025-08-14T21:50:59.5935199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5935296Z x = self.blocks(x) 2025-08-14T21:50:59.5935540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5935612Z x = self.se(x) 2025-08-14T21:50:59.5935857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5935932Z return x * self.gate(x_se) 2025-08-14T21:50:59.5935936Z 2025-08-14T21:50:59.5936052Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5936265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5936333Z return mod(*inputs) 2025-08-14T21:50:59.5936567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5936641Z x = self.forward_features(x) 2025-08-14T21:50:59.5936910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5937000Z x = self.blocks(x) 2025-08-14T21:50:59.5937245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5937332Z x = self.se(x) 2025-08-14T21:50:59.5937578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5937650Z return x * self.gate(x_se) 2025-08-14T21:50:59.5937654Z 2025-08-14T21:50:59.5937746Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5937854Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5938070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5938140Z return mod(*inputs) 2025-08-14T21:50:59.5938368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5938452Z x = self.forward_features(x) 2025-08-14T21:50:59.5938707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5938776Z x = self.blocks(x) 2025-08-14T21:50:59.5939029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5939102Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5939328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5939439Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5939670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5939789Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5939794Z 2025-08-14T21:50:59.5939903Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5940118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5940209Z return mod(*inputs) 2025-08-14T21:50:59.5940443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5940525Z x = self.forward_features(x) 2025-08-14T21:50:59.5940779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5940848Z x = self.blocks(x) 2025-08-14T21:50:59.5941103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5941175Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5941407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5941543Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5941773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5941902Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5941906Z 2025-08-14T21:50:59.5941993Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5942102Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5942320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5942389Z return mod(*inputs) 2025-08-14T21:50:59.5942621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5942695Z x = self.forward_features(x) 2025-08-14T21:50:59.5942945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5943021Z x = self.blocks(x) 2025-08-14T21:50:59.5943265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5943364Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5943620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5943730Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5943967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5944074Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5944078Z 2025-08-14T21:50:59.5944187Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5944408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5944477Z return mod(*inputs) 2025-08-14T21:50:59.5944712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5944786Z x = self.forward_features(x) 2025-08-14T21:50:59.5945046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5945121Z x = self.blocks(x) 2025-08-14T21:50:59.5945359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5945429Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5945655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5945762Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5945999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5946106Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5946112Z 2025-08-14T21:50:59.5946197Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5946291Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5946422Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5946642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5946720Z return mod(*inputs) 2025-08-14T21:50:59.5946957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5947050Z x = self.forward_features(x) 2025-08-14T21:50:59.5947298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5947365Z x = self.blocks(x) 2025-08-14T21:50:59.5947611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5947704Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5947922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5948002Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5948007Z 2025-08-14T21:50:59.5948115Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5948334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5948400Z return mod(*inputs) 2025-08-14T21:50:59.5948621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5948699Z x = self.forward_features(x) 2025-08-14T21:50:59.5948945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5949011Z x = self.blocks(x) 2025-08-14T21:50:59.5949258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:59.5949337Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:59.5949340Z 2025-08-14T21:50:59.5949474Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5949683Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5949772Z return mod(*inputs) 2025-08-14T21:50:59.5950003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5950073Z x = self.forward_features(x) 2025-08-14T21:50:59.5950324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5950388Z x = self.blocks(x) 2025-08-14T21:50:59.5950626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5950700Z x = self.conv_pw(x) 2025-08-14T21:50:59.5950916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5951022Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5951260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5951368Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5951371Z 2025-08-14T21:50:59.5951486Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5951692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5951759Z return mod(*inputs) 2025-08-14T21:50:59.5951986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5952056Z x = self.forward_features(x) 2025-08-14T21:50:59.5952303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5952379Z x = self.blocks(x) 2025-08-14T21:50:59.5952653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5952733Z x = self.conv_pw(x) 2025-08-14T21:50:59.5952951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5953057Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5953294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5953399Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5953403Z 2025-08-14T21:50:59.5953519Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5953725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5953818Z return mod(*inputs) 2025-08-14T21:50:59.5954047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5954124Z x = self.forward_features(x) 2025-08-14T21:50:59.5954370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5954443Z x = self.blocks(x) 2025-08-14T21:50:59.5954680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5954756Z x = self.conv_pw(x) 2025-08-14T21:50:59.5954970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5955075Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5955306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5955411Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5955414Z 2025-08-14T21:50:59.5955519Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5955764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5955850Z return mod(*inputs) 2025-08-14T21:50:59.5956082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5956154Z x = self.forward_features(x) 2025-08-14T21:50:59.5956397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5956469Z x = self.blocks(x) 2025-08-14T21:50:59.5956705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5956780Z x = self.conv_pw(x) 2025-08-14T21:50:59.5956996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5957101Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5957337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5957442Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5957446Z 2025-08-14T21:50:59.5957530Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5957620Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5957724Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5957940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5958009Z return mod(*inputs) 2025-08-14T21:50:59.5958232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5958317Z x = self.forward_features(x) 2025-08-14T21:50:59.5958563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5958651Z x = self.blocks(x) 2025-08-14T21:50:59.5958902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.5958969Z x = self.conv_pw(x) 2025-08-14T21:50:59.5959196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5959266Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5959269Z 2025-08-14T21:50:59.5959377Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5959591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5959657Z return mod(*inputs) 2025-08-14T21:50:59.5959879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5960007Z x = self.forward_features(x) 2025-08-14T21:50:59.5960259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5960335Z x = self.blocks(x) 2025-08-14T21:50:59.5960570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.5960634Z x = self.bn1(x) 2025-08-14T21:50:59.5960852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:59.5960917Z x = F.batch_norm( 2025-08-14T21:50:59.5960920Z 2025-08-14T21:50:59.5961028Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5961241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5961307Z return mod(*inputs) 2025-08-14T21:50:59.5961536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5961607Z x = self.forward_features(x) 2025-08-14T21:50:59.5961876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5961949Z x = self.blocks(x) 2025-08-14T21:50:59.5962205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.5962271Z x = self.bn1(x) 2025-08-14T21:50:59.5962482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.5962546Z x = self.act(x) 2025-08-14T21:50:59.5962550Z 2025-08-14T21:50:59.5962638Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5962744Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5962948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5963023Z return mod(*inputs) 2025-08-14T21:50:59.5963241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5963316Z x = self.forward_features(x) 2025-08-14T21:50:59.5963567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5963632Z x = self.blocks(x) 2025-08-14T21:50:59.5963875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5963941Z x = self.conv_dw(x) 2025-08-14T21:50:59.5964156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5964276Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5964500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5964615Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5964618Z 2025-08-14T21:50:59.5964725Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5964949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5965027Z return mod(*inputs) 2025-08-14T21:50:59.5965252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5965324Z x = self.forward_features(x) 2025-08-14T21:50:59.5965577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5965642Z x = self.blocks(x) 2025-08-14T21:50:59.5965885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5965951Z x = self.conv_dw(x) 2025-08-14T21:50:59.5966186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5966301Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5966528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5966636Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5966647Z 2025-08-14T21:50:59.5966729Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5966835Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5967046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5967113Z return mod(*inputs) 2025-08-14T21:50:59.5967332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5967412Z x = self.forward_features(x) 2025-08-14T21:50:59.5967657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5967730Z x = self.blocks(x) 2025-08-14T21:50:59.5967999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5968086Z x = self.conv_dw(x) 2025-08-14T21:50:59.5968314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5968420Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5968659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5968773Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5968776Z 2025-08-14T21:50:59.5968882Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5969096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5969163Z return mod(*inputs) 2025-08-14T21:50:59.5969388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5969467Z x = self.forward_features(x) 2025-08-14T21:50:59.5969722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5969787Z x = self.blocks(x) 2025-08-14T21:50:59.5970030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5970096Z x = self.conv_dw(x) 2025-08-14T21:50:59.5970326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5970430Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5970657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5970857Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5970867Z 2025-08-14T21:50:59.5970979Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5971101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5971317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5971386Z return mod(*inputs) 2025-08-14T21:50:59.5971623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5971699Z x = self.forward_features(x) 2025-08-14T21:50:59.5971956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5972033Z x = self.blocks(x) 2025-08-14T21:50:59.5972277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5972385Z x = self.conv_dw(x) 2025-08-14T21:50:59.5972608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5972717Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5972957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5973062Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5973065Z 2025-08-14T21:50:59.5973172Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5973392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5973459Z return mod(*inputs) 2025-08-14T21:50:59.5973694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5973769Z x = self.forward_features(x) 2025-08-14T21:50:59.5974020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5974115Z x = self.blocks(x) 2025-08-14T21:50:59.5974384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5974451Z x = self.conv_dw(x) 2025-08-14T21:50:59.5974683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5974788Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5975028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5975131Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5975134Z 2025-08-14T21:50:59.5975217Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5975334Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5975540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5975616Z return mod(*inputs) 2025-08-14T21:50:59.5975843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5975916Z x = self.forward_features(x) 2025-08-14T21:50:59.5976173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5976237Z x = self.blocks(x) 2025-08-14T21:50:59.5976479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5976551Z x = self.conv_dw(x) 2025-08-14T21:50:59.5976773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5976884Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5977120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5977242Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5977246Z 2025-08-14T21:50:59.5977360Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5977567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5977633Z return mod(*inputs) 2025-08-14T21:50:59.5977861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5977933Z x = self.forward_features(x) 2025-08-14T21:50:59.5978183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5978248Z x = self.blocks(x) 2025-08-14T21:50:59.5978503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5978578Z x = self.conv_dw(x) 2025-08-14T21:50:59.5978793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5978897Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5979127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5979231Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5979234Z 2025-08-14T21:50:59.5979327Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5979408Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5979488Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5979573Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5979679Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5979888Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5979962Z return mod(*inputs) 2025-08-14T21:50:59.5980238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5980318Z x = self.forward_features(x) 2025-08-14T21:50:59.5980593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5980662Z x = self.blocks(x) 2025-08-14T21:50:59.5980907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.5980973Z x = self.conv_dw(x) 2025-08-14T21:50:59.5981189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.5981267Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.5981270Z 2025-08-14T21:50:59.5981353Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5981466Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5981675Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5981745Z return mod(*inputs) 2025-08-14T21:50:59.5981977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5982049Z x = self.forward_features(x) 2025-08-14T21:50:59.5982304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5982368Z x = self.blocks(x) 2025-08-14T21:50:59.5982606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5982677Z x = self.se(x) 2025-08-14T21:50:59.5982915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:59.5982996Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:59.5982999Z 2025-08-14T21:50:59.5983113Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5983341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5983418Z return mod(*inputs) 2025-08-14T21:50:59.5983640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5983711Z x = self.forward_features(x) 2025-08-14T21:50:59.5983966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5984032Z x = self.blocks(x) 2025-08-14T21:50:59.5984269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5984340Z x = self.se(x) 2025-08-14T21:50:59.5984600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.5984680Z x_se = self.act1(x_se) 2025-08-14T21:50:59.5984686Z 2025-08-14T21:50:59.5984797Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5985011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5985089Z return mod(*inputs) 2025-08-14T21:50:59.5985330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5985402Z x = self.forward_features(x) 2025-08-14T21:50:59.5985660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5985724Z x = self.blocks(x) 2025-08-14T21:50:59.5985970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5986034Z x = self.se(x) 2025-08-14T21:50:59.5986272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.5986368Z x_se = self.act1(x_se) 2025-08-14T21:50:59.5986373Z 2025-08-14T21:50:59.5986480Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5986704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5986782Z return mod(*inputs) 2025-08-14T21:50:59.5987001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5987080Z x = self.forward_features(x) 2025-08-14T21:50:59.5987326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5987391Z x = self.blocks(x) 2025-08-14T21:50:59.5987635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5987698Z x = self.se(x) 2025-08-14T21:50:59.5987940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5988018Z return x * self.gate(x_se) 2025-08-14T21:50:59.5988022Z 2025-08-14T21:50:59.5988128Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5988343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5988411Z return mod(*inputs) 2025-08-14T21:50:59.5988631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5988711Z x = self.forward_features(x) 2025-08-14T21:50:59.5988956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5989027Z x = self.blocks(x) 2025-08-14T21:50:59.5989263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5989323Z x = self.se(x) 2025-08-14T21:50:59.5989581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5989653Z return x * self.gate(x_se) 2025-08-14T21:50:59.5989658Z 2025-08-14T21:50:59.5989764Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5989990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5990057Z return mod(*inputs) 2025-08-14T21:50:59.5990286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5990355Z x = self.forward_features(x) 2025-08-14T21:50:59.5990603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5990690Z x = self.blocks(x) 2025-08-14T21:50:59.5990931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.5990994Z x = self.se(x) 2025-08-14T21:50:59.5991239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.5991311Z return x * self.gate(x_se) 2025-08-14T21:50:59.5991315Z 2025-08-14T21:50:59.5991401Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5991506Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5991724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5991796Z return mod(*inputs) 2025-08-14T21:50:59.5992017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5992089Z x = self.forward_features(x) 2025-08-14T21:50:59.5992344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5992408Z x = self.blocks(x) 2025-08-14T21:50:59.5992674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5992744Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5992987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5993105Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5993336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5993449Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5993452Z 2025-08-14T21:50:59.5993559Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5993764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5993839Z return mod(*inputs) 2025-08-14T21:50:59.5994059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5994134Z x = self.forward_features(x) 2025-08-14T21:50:59.5994389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5994454Z x = self.blocks(x) 2025-08-14T21:50:59.5994697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5994767Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5994990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5995106Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5995337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5995445Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5995457Z 2025-08-14T21:50:59.5995560Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5995668Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5995890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5995959Z return mod(*inputs) 2025-08-14T21:50:59.5996182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5996261Z x = self.forward_features(x) 2025-08-14T21:50:59.5996507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5996580Z x = self.blocks(x) 2025-08-14T21:50:59.5996814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5996899Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5997109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5997214Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5997437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5997550Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5997553Z 2025-08-14T21:50:59.5997659Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5997878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.5997951Z return mod(*inputs) 2025-08-14T21:50:59.5998157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.5998235Z x = self.forward_features(x) 2025-08-14T21:50:59.5998468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.5998555Z x = self.blocks(x) 2025-08-14T21:50:59.5998790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.5998874Z x = self.conv_pwl(x) 2025-08-14T21:50:59.5999088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.5999186Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5999398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.5999505Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.5999509Z 2025-08-14T21:50:59.5999588Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5999666Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.5999776Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.5999970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6000044Z return mod(*inputs) 2025-08-14T21:50:59.6000256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6000324Z x = self.forward_features(x) 2025-08-14T21:50:59.6000567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6000629Z x = self.blocks(x) 2025-08-14T21:50:59.6000853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6000926Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6001129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6001202Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6001205Z 2025-08-14T21:50:59.6001304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6001514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6001589Z return mod(*inputs) 2025-08-14T21:50:59.6001798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6001874Z x = self.forward_features(x) 2025-08-14T21:50:59.6002106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6002168Z x = self.blocks(x) 2025-08-14T21:50:59.6002397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:59.6002471Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:59.6002474Z 2025-08-14T21:50:59.6002592Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6002796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6002861Z return mod(*inputs) 2025-08-14T21:50:59.6003077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6003146Z x = self.forward_features(x) 2025-08-14T21:50:59.6003375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6003443Z x = self.blocks(x) 2025-08-14T21:50:59.6003667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6003729Z x = self.conv_pw(x) 2025-08-14T21:50:59.6003940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6004042Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6004261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6004381Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6004384Z 2025-08-14T21:50:59.6004501Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6004706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6004769Z return mod(*inputs) 2025-08-14T21:50:59.6004994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6005065Z x = self.forward_features(x) 2025-08-14T21:50:59.6005310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6005380Z x = self.blocks(x) 2025-08-14T21:50:59.6005617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6005683Z x = self.conv_pw(x) 2025-08-14T21:50:59.6005913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6006021Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6006252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6006357Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6006360Z 2025-08-14T21:50:59.6006465Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6006676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6006743Z return mod(*inputs) 2025-08-14T21:50:59.6006968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6007050Z x = self.forward_features(x) 2025-08-14T21:50:59.6007292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6007385Z x = self.blocks(x) 2025-08-14T21:50:59.6007629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6007697Z x = self.conv_pw(x) 2025-08-14T21:50:59.6007926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6008032Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6008259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6008373Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6008376Z 2025-08-14T21:50:59.6008501Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6008711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6008780Z return mod(*inputs) 2025-08-14T21:50:59.6009003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6009086Z x = self.forward_features(x) 2025-08-14T21:50:59.6009330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6009401Z x = self.blocks(x) 2025-08-14T21:50:59.6009635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6009703Z x = self.conv_pw(x) 2025-08-14T21:50:59.6009924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6010029Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6010253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6010385Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6010388Z 2025-08-14T21:50:59.6010474Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6010584Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6010778Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6011000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6011080Z return mod(*inputs) 2025-08-14T21:50:59.6011307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6011383Z x = self.forward_features(x) 2025-08-14T21:50:59.6011645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6011716Z x = self.blocks(x) 2025-08-14T21:50:59.6011969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6012042Z x = self.conv_pw(x) 2025-08-14T21:50:59.6012273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6012354Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6012358Z 2025-08-14T21:50:59.6012464Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6012669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6012745Z return mod(*inputs) 2025-08-14T21:50:59.6012971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6013052Z x = self.forward_features(x) 2025-08-14T21:50:59.6013302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6013372Z x = self.blocks(x) 2025-08-14T21:50:59.6013646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6013715Z x = self.bn1(x) 2025-08-14T21:50:59.6013937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:59.6014013Z x = F.batch_norm( 2025-08-14T21:50:59.6014016Z 2025-08-14T21:50:59.6014126Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6014346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6014414Z return mod(*inputs) 2025-08-14T21:50:59.6014643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6014727Z x = self.forward_features(x) 2025-08-14T21:50:59.6014996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6015071Z x = self.blocks(x) 2025-08-14T21:50:59.6015319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6015386Z x = self.bn1(x) 2025-08-14T21:50:59.6015608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6015674Z x = self.act(x) 2025-08-14T21:50:59.6015678Z 2025-08-14T21:50:59.6015762Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6015878Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6016095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6016172Z return mod(*inputs) 2025-08-14T21:50:59.6016396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6016472Z x = self.forward_features(x) 2025-08-14T21:50:59.6016733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6016816Z x = self.blocks(x) 2025-08-14T21:50:59.6017077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6017155Z x = self.conv_dw(x) 2025-08-14T21:50:59.6017373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6017493Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6017723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6017832Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6017836Z 2025-08-14T21:50:59.6017955Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6018166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6018351Z return mod(*inputs) 2025-08-14T21:50:59.6018598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6018674Z x = self.forward_features(x) 2025-08-14T21:50:59.6018934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6019000Z x = self.blocks(x) 2025-08-14T21:50:59.6019242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6019319Z x = self.conv_dw(x) 2025-08-14T21:50:59.6019540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6019651Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6019892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6020050Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6020055Z 2025-08-14T21:50:59.6020149Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6020262Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6020476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6020554Z return mod(*inputs) 2025-08-14T21:50:59.6020780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6020860Z x = self.forward_features(x) 2025-08-14T21:50:59.6021111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6021218Z x = self.blocks(x) 2025-08-14T21:50:59.6021480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6021550Z x = self.conv_dw(x) 2025-08-14T21:50:59.6021779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6021899Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6022133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6022251Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6022254Z 2025-08-14T21:50:59.6022363Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6022581Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6022659Z return mod(*inputs) 2025-08-14T21:50:59.6022890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6022966Z x = self.forward_features(x) 2025-08-14T21:50:59.6023262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6023329Z x = self.blocks(x) 2025-08-14T21:50:59.6023616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6023686Z x = self.conv_dw(x) 2025-08-14T21:50:59.6023909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6024024Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6024255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6024372Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6024377Z 2025-08-14T21:50:59.6024464Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6024572Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6024797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6024867Z return mod(*inputs) 2025-08-14T21:50:59.6025094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6025177Z x = self.forward_features(x) 2025-08-14T21:50:59.6025428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6025503Z x = self.blocks(x) 2025-08-14T21:50:59.6025747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6025814Z x = self.conv_dw(x) 2025-08-14T21:50:59.6026042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6026152Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6026404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6026523Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6026527Z 2025-08-14T21:50:59.6026637Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6026861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6026935Z return mod(*inputs) 2025-08-14T21:50:59.6027176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6027261Z x = self.forward_features(x) 2025-08-14T21:50:59.6027511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6027593Z x = self.blocks(x) 2025-08-14T21:50:59.6027845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6027913Z x = self.conv_dw(x) 2025-08-14T21:50:59.6028142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6028246Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6028480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6028592Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6028596Z 2025-08-14T21:50:59.6028677Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6028790Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6028999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6029069Z return mod(*inputs) 2025-08-14T21:50:59.6029304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6029396Z x = self.forward_features(x) 2025-08-14T21:50:59.6029665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6029740Z x = self.blocks(x) 2025-08-14T21:50:59.6029976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6030050Z x = self.conv_dw(x) 2025-08-14T21:50:59.6030280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6030386Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6030617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6030722Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6030726Z 2025-08-14T21:50:59.6030835Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6031052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6031121Z return mod(*inputs) 2025-08-14T21:50:59.6031350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6031421Z x = self.forward_features(x) 2025-08-14T21:50:59.6031665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6031738Z x = self.blocks(x) 2025-08-14T21:50:59.6031977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6032042Z x = self.conv_dw(x) 2025-08-14T21:50:59.6032267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6032372Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6032622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6032727Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6032731Z 2025-08-14T21:50:59.6032814Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6032901Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6032980Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6033065Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6033172Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6033375Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6033447Z return mod(*inputs) 2025-08-14T21:50:59.6033687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6033760Z x = self.forward_features(x) 2025-08-14T21:50:59.6034019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6034088Z x = self.blocks(x) 2025-08-14T21:50:59.6034334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6034403Z x = self.conv_dw(x) 2025-08-14T21:50:59.6034623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6034702Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6034706Z 2025-08-14T21:50:59.6034787Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6034895Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6035114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6035186Z return mod(*inputs) 2025-08-14T21:50:59.6035419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6035511Z x = self.forward_features(x) 2025-08-14T21:50:59.6035775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6035849Z x = self.blocks(x) 2025-08-14T21:50:59.6036086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6036148Z x = self.se(x) 2025-08-14T21:50:59.6036395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:59.6036474Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:59.6036478Z 2025-08-14T21:50:59.6036593Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6036801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6036870Z return mod(*inputs) 2025-08-14T21:50:59.6037098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6037173Z x = self.forward_features(x) 2025-08-14T21:50:59.6037420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6037492Z x = self.blocks(x) 2025-08-14T21:50:59.6037728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6037798Z x = self.se(x) 2025-08-14T21:50:59.6038030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6038100Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6038106Z 2025-08-14T21:50:59.6038219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6038437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6038524Z return mod(*inputs) 2025-08-14T21:50:59.6038757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6038829Z x = self.forward_features(x) 2025-08-14T21:50:59.6039085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6039150Z x = self.blocks(x) 2025-08-14T21:50:59.6039382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6039453Z x = self.se(x) 2025-08-14T21:50:59.6039684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6039773Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6039784Z 2025-08-14T21:50:59.6039890Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6040104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6040178Z return mod(*inputs) 2025-08-14T21:50:59.6040400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6040473Z x = self.forward_features(x) 2025-08-14T21:50:59.6040723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6040788Z x = self.blocks(x) 2025-08-14T21:50:59.6041031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6041096Z x = self.se(x) 2025-08-14T21:50:59.6041329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6041405Z return x * self.gate(x_se) 2025-08-14T21:50:59.6041408Z 2025-08-14T21:50:59.6041525Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6041722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6041809Z return mod(*inputs) 2025-08-14T21:50:59.6042017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6042092Z x = self.forward_features(x) 2025-08-14T21:50:59.6042320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6042381Z x = self.blocks(x) 2025-08-14T21:50:59.6042609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6042669Z x = self.se(x) 2025-08-14T21:50:59.6042889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6042967Z return x * self.gate(x_se) 2025-08-14T21:50:59.6042971Z 2025-08-14T21:50:59.6043073Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6043276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6043340Z return mod(*inputs) 2025-08-14T21:50:59.6043555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6043636Z x = self.forward_features(x) 2025-08-14T21:50:59.6043878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6043943Z x = self.blocks(x) 2025-08-14T21:50:59.6044184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6044248Z x = self.se(x) 2025-08-14T21:50:59.6044489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6044587Z return x * self.gate(x_se) 2025-08-14T21:50:59.6044592Z 2025-08-14T21:50:59.6044675Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6044790Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6044996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6045069Z return mod(*inputs) 2025-08-14T21:50:59.6045292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6045365Z x = self.forward_features(x) 2025-08-14T21:50:59.6045617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6045683Z x = self.blocks(x) 2025-08-14T21:50:59.6045937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6046015Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6046239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6046359Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6046592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6046701Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6046705Z 2025-08-14T21:50:59.6046820Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6047030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6047099Z return mod(*inputs) 2025-08-14T21:50:59.6047332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6047407Z x = self.forward_features(x) 2025-08-14T21:50:59.6047668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6047755Z x = self.blocks(x) 2025-08-14T21:50:59.6048018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6048102Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6048327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6048438Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6048682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6048790Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6048795Z 2025-08-14T21:50:59.6048890Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6048997Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6049214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6049295Z return mod(*inputs) 2025-08-14T21:50:59.6049528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6049612Z x = self.forward_features(x) 2025-08-14T21:50:59.6049869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6049938Z x = self.blocks(x) 2025-08-14T21:50:59.6050194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6050265Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6050495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6050615Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6050980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6051104Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6051110Z 2025-08-14T21:50:59.6051221Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6051437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6051515Z return mod(*inputs) 2025-08-14T21:50:59.6051752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6051827Z x = self.forward_features(x) 2025-08-14T21:50:59.6052092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6052185Z x = self.blocks(x) 2025-08-14T21:50:59.6052437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6052512Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6052737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6052855Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6053084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6053192Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6053204Z 2025-08-14T21:50:59.6053289Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6053371Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6053487Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6053701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6053775Z return mod(*inputs) 2025-08-14T21:50:59.6054012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6054114Z x = self.forward_features(x) 2025-08-14T21:50:59.6054403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6054472Z x = self.blocks(x) 2025-08-14T21:50:59.6054718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6054795Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6055025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6055097Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6055101Z 2025-08-14T21:50:59.6055216Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6055431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6055507Z return mod(*inputs) 2025-08-14T21:50:59.6055737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6055812Z x = self.forward_features(x) 2025-08-14T21:50:59.6056072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6056138Z x = self.blocks(x) 2025-08-14T21:50:59.6056380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:59.6056467Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:59.6056470Z 2025-08-14T21:50:59.6056577Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6056796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6056867Z return mod(*inputs) 2025-08-14T21:50:59.6057092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6057195Z x = self.forward_features(x) 2025-08-14T21:50:59.6057467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6057534Z x = self.blocks(x) 2025-08-14T21:50:59.6057790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6057858Z x = self.bn1(x) 2025-08-14T21:50:59.6058083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6058148Z x = self.act(x) 2025-08-14T21:50:59.6058152Z 2025-08-14T21:50:59.6058259Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6058480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6058575Z return mod(*inputs) 2025-08-14T21:50:59.6058813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6058897Z x = self.forward_features(x) 2025-08-14T21:50:59.6059153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6059226Z x = self.blocks(x) 2025-08-14T21:50:59.6059473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6059539Z x = self.bn1(x) 2025-08-14T21:50:59.6059764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6059827Z x = self.act(x) 2025-08-14T21:50:59.6059831Z 2025-08-14T21:50:59.6059946Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6060164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6060233Z return mod(*inputs) 2025-08-14T21:50:59.6060490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6060564Z x = self.forward_features(x) 2025-08-14T21:50:59.6060840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6060914Z x = self.blocks(x) 2025-08-14T21:50:59.6061160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:50:59.6061231Z x = self.bn2(x) 2025-08-14T21:50:59.6061444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6061510Z x = self.act(x) 2025-08-14T21:50:59.6061513Z 2025-08-14T21:50:59.6061628Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6061840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6061912Z return mod(*inputs) 2025-08-14T21:50:59.6062148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6062221Z x = self.forward_features(x) 2025-08-14T21:50:59.6062481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6062547Z x = self.blocks(x) 2025-08-14T21:50:59.6062793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:50:59.6062863Z x = self.bn2(x) 2025-08-14T21:50:59.6063082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6063145Z x = self.act(x) 2025-08-14T21:50:59.6063150Z 2025-08-14T21:50:59.6063243Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6063350Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6063590Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6063661Z return mod(*inputs) 2025-08-14T21:50:59.6063887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6063970Z x = self.forward_features(x) 2025-08-14T21:50:59.6064222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6064289Z x = self.blocks(x) 2025-08-14T21:50:59.6064536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6064602Z x = self.se(x) 2025-08-14T21:50:59.6064851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:59.6064954Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:59.6064958Z 2025-08-14T21:50:59.6065068Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6065293Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6065364Z return mod(*inputs) 2025-08-14T21:50:59.6065596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6065681Z x = self.forward_features(x) 2025-08-14T21:50:59.6065938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6066012Z x = self.blocks(x) 2025-08-14T21:50:59.6066259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6066323Z x = self.se(x) 2025-08-14T21:50:59.6066577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6066649Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6066674Z 2025-08-14T21:50:59.6066793Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6067028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6067099Z return mod(*inputs) 2025-08-14T21:50:59.6067332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6067407Z x = self.forward_features(x) 2025-08-14T21:50:59.6067661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6067736Z x = self.blocks(x) 2025-08-14T21:50:59.6067981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6068053Z x = self.se(x) 2025-08-14T21:50:59.6068299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6068370Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6068374Z 2025-08-14T21:50:59.6068484Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6068687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6068754Z return mod(*inputs) 2025-08-14T21:50:59.6068982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6069053Z x = self.forward_features(x) 2025-08-14T21:50:59.6069306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6069370Z x = self.blocks(x) 2025-08-14T21:50:59.6069603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6069674Z x = self.se(x) 2025-08-14T21:50:59.6069923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6070000Z return x * self.gate(x_se) 2025-08-14T21:50:59.6070003Z 2025-08-14T21:50:59.6070117Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6070325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6070400Z return mod(*inputs) 2025-08-14T21:50:59.6070621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6070692Z x = self.forward_features(x) 2025-08-14T21:50:59.6070946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6071012Z x = self.blocks(x) 2025-08-14T21:50:59.6071270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6071343Z x = self.se(x) 2025-08-14T21:50:59.6071581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6071663Z return x * self.gate(x_se) 2025-08-14T21:50:59.6071667Z 2025-08-14T21:50:59.6071772Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6071978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6072055Z return mod(*inputs) 2025-08-14T21:50:59.6072277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6072358Z x = self.forward_features(x) 2025-08-14T21:50:59.6072604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6072669Z x = self.blocks(x) 2025-08-14T21:50:59.6072916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6073001Z x = self.se(x) 2025-08-14T21:50:59.6073256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6073336Z return x * self.gate(x_se) 2025-08-14T21:50:59.6073339Z 2025-08-14T21:50:59.6073445Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6073658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6073725Z return mod(*inputs) 2025-08-14T21:50:59.6073946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6074024Z x = self.forward_features(x) 2025-08-14T21:50:59.6074268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6074334Z x = self.blocks(x) 2025-08-14T21:50:59.6074575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6074644Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6074648Z 2025-08-14T21:50:59.6074759Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6074962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6075028Z return mod(*inputs) 2025-08-14T21:50:59.6075254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6075326Z x = self.forward_features(x) 2025-08-14T21:50:59.6075571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6075643Z x = self.blocks(x) 2025-08-14T21:50:59.6075878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6075952Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6075956Z 2025-08-14T21:50:59.6076081Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6076289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6076362Z return mod(*inputs) 2025-08-14T21:50:59.6076582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6076660Z x = self.forward_features(x) 2025-08-14T21:50:59.6076905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6076970Z x = self.blocks(x) 2025-08-14T21:50:59.6077210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6077332Z x = self.conv_pw(x) 2025-08-14T21:50:59.6077555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6077678Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6077911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6078027Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6078031Z 2025-08-14T21:50:59.6078134Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6078343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6078420Z return mod(*inputs) 2025-08-14T21:50:59.6078645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6078716Z x = self.forward_features(x) 2025-08-14T21:50:59.6078977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6079060Z x = self.blocks(x) 2025-08-14T21:50:59.6079304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6079386Z x = self.conv_pw(x) 2025-08-14T21:50:59.6079604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6079720Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6079949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6080054Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6080065Z 2025-08-14T21:50:59.6080171Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6080381Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6080458Z return mod(*inputs) 2025-08-14T21:50:59.6080687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6080764Z x = self.forward_features(x) 2025-08-14T21:50:59.6081026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6081094Z x = self.blocks(x) 2025-08-14T21:50:59.6081345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6081414Z x = self.conv_pw(x) 2025-08-14T21:50:59.6081636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6081751Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6081983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6082090Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6082096Z 2025-08-14T21:50:59.6082235Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6082446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6082519Z return mod(*inputs) 2025-08-14T21:50:59.6082739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6082810Z x = self.forward_features(x) 2025-08-14T21:50:59.6083063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6083126Z x = self.blocks(x) 2025-08-14T21:50:59.6083361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6083452Z x = self.conv_pw(x) 2025-08-14T21:50:59.6083665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6083781Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6084007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6084111Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6084114Z 2025-08-14T21:50:59.6084205Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6084289Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6084404Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6084612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6084678Z return mod(*inputs) 2025-08-14T21:50:59.6084904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6084978Z x = self.forward_features(x) 2025-08-14T21:50:59.6085221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6085313Z x = self.blocks(x) 2025-08-14T21:50:59.6085562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6085638Z x = self.conv_pw(x) 2025-08-14T21:50:59.6085853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6085922Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6085926Z 2025-08-14T21:50:59.6086042Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6086251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6086319Z return mod(*inputs) 2025-08-14T21:50:59.6086550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6086622Z x = self.forward_features(x) 2025-08-14T21:50:59.6086878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6086944Z x = self.blocks(x) 2025-08-14T21:50:59.6087179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6087250Z x = self.bn1(x) 2025-08-14T21:50:59.6087457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:59.6087522Z x = F.batch_norm( 2025-08-14T21:50:59.6087525Z 2025-08-14T21:50:59.6087638Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6087843Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6087919Z return mod(*inputs) 2025-08-14T21:50:59.6088138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6088210Z x = self.forward_features(x) 2025-08-14T21:50:59.6088487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6088553Z x = self.blocks(x) 2025-08-14T21:50:59.6088789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6088860Z x = self.bn1(x) 2025-08-14T21:50:59.6089068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6089138Z x = self.act(x) 2025-08-14T21:50:59.6089142Z 2025-08-14T21:50:59.6089223Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6089327Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6089831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6089900Z return mod(*inputs) 2025-08-14T21:50:59.6090122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6090203Z x = self.forward_features(x) 2025-08-14T21:50:59.6090447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6090521Z x = self.blocks(x) 2025-08-14T21:50:59.6090853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6090927Z x = self.conv_dw(x) 2025-08-14T21:50:59.6091158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6091270Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6091506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6091627Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6091662Z 2025-08-14T21:50:59.6091773Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6092017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6092089Z return mod(*inputs) 2025-08-14T21:50:59.6092314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6092406Z x = self.forward_features(x) 2025-08-14T21:50:59.6092647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6092720Z x = self.blocks(x) 2025-08-14T21:50:59.6092957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6093026Z x = self.conv_dw(x) 2025-08-14T21:50:59.6093250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6093362Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6093589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6093703Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6093706Z 2025-08-14T21:50:59.6093790Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6093905Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6094114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6094181Z return mod(*inputs) 2025-08-14T21:50:59.6094406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6094482Z x = self.forward_features(x) 2025-08-14T21:50:59.6094727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6094821Z x = self.blocks(x) 2025-08-14T21:50:59.6095063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6095136Z x = self.conv_dw(x) 2025-08-14T21:50:59.6095353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6095457Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6095690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6095792Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6095796Z 2025-08-14T21:50:59.6095908Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6096138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6096207Z return mod(*inputs) 2025-08-14T21:50:59.6096440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6096514Z x = self.forward_features(x) 2025-08-14T21:50:59.6096760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6096833Z x = self.blocks(x) 2025-08-14T21:50:59.6097075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6097145Z x = self.conv_dw(x) 2025-08-14T21:50:59.6097362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6097467Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6097707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6097831Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6097835Z 2025-08-14T21:50:59.6097918Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6098052Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6098248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6098319Z return mod(*inputs) 2025-08-14T21:50:59.6098530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6098598Z x = self.forward_features(x) 2025-08-14T21:50:59.6098836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6098897Z x = self.blocks(x) 2025-08-14T21:50:59.6099122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6099190Z x = self.conv_dw(x) 2025-08-14T21:50:59.6099396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6099502Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6099711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6099811Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6099814Z 2025-08-14T21:50:59.6099923Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6100116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6100186Z return mod(*inputs) 2025-08-14T21:50:59.6100392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6100462Z x = self.forward_features(x) 2025-08-14T21:50:59.6100716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6100780Z x = self.blocks(x) 2025-08-14T21:50:59.6101005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6101076Z x = self.conv_dw(x) 2025-08-14T21:50:59.6101279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6101384Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6101595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6101693Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6101714Z 2025-08-14T21:50:59.6101799Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6101899Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6102102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6102173Z return mod(*inputs) 2025-08-14T21:50:59.6102383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6102458Z x = self.forward_features(x) 2025-08-14T21:50:59.6102688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6102749Z x = self.blocks(x) 2025-08-14T21:50:59.6102978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6103039Z x = self.conv_dw(x) 2025-08-14T21:50:59.6103245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6103351Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6103564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6103687Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6103712Z 2025-08-14T21:50:59.6103811Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6104011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6104081Z return mod(*inputs) 2025-08-14T21:50:59.6104289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6104362Z x = self.forward_features(x) 2025-08-14T21:50:59.6104594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6104656Z x = self.blocks(x) 2025-08-14T21:50:59.6104884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6104948Z x = self.conv_dw(x) 2025-08-14T21:50:59.6105150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6105258Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6105476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6105580Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6105584Z 2025-08-14T21:50:59.6105663Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6105740Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6105825Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6105900Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6106000Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6106200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6106286Z return mod(*inputs) 2025-08-14T21:50:59.6106513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6106586Z x = self.forward_features(x) 2025-08-14T21:50:59.6106831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6106905Z x = self.blocks(x) 2025-08-14T21:50:59.6107140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6107205Z x = self.conv_dw(x) 2025-08-14T21:50:59.6107427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6107519Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6107523Z 2025-08-14T21:50:59.6107613Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6107720Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6107928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6108003Z return mod(*inputs) 2025-08-14T21:50:59.6108223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6108297Z x = self.forward_features(x) 2025-08-14T21:50:59.6108556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6108616Z x = self.blocks(x) 2025-08-14T21:50:59.6108846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6108904Z x = self.se(x) 2025-08-14T21:50:59.6109129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:59.6109210Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:59.6109231Z 2025-08-14T21:50:59.6109334Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6109553Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6109618Z return mod(*inputs) 2025-08-14T21:50:59.6109832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6109908Z x = self.forward_features(x) 2025-08-14T21:50:59.6110140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6110200Z x = self.blocks(x) 2025-08-14T21:50:59.6110433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6110496Z x = self.se(x) 2025-08-14T21:50:59.6110729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6110797Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6110802Z 2025-08-14T21:50:59.6110906Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6111116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6111180Z return mod(*inputs) 2025-08-14T21:50:59.6111394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6111472Z x = self.forward_features(x) 2025-08-14T21:50:59.6111712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6111782Z x = self.blocks(x) 2025-08-14T21:50:59.6112010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6112073Z x = self.se(x) 2025-08-14T21:50:59.6112324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6112393Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6112396Z 2025-08-14T21:50:59.6112502Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6112710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6112775Z return mod(*inputs) 2025-08-14T21:50:59.6113009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6113082Z x = self.forward_features(x) 2025-08-14T21:50:59.6113331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6113403Z x = self.blocks(x) 2025-08-14T21:50:59.6113663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6113723Z x = self.se(x) 2025-08-14T21:50:59.6113966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6114045Z return x * self.gate(x_se) 2025-08-14T21:50:59.6114050Z 2025-08-14T21:50:59.6114154Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6114350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6114412Z return mod(*inputs) 2025-08-14T21:50:59.6114621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6114686Z x = self.forward_features(x) 2025-08-14T21:50:59.6114918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6114978Z x = self.blocks(x) 2025-08-14T21:50:59.6115196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6115275Z x = self.se(x) 2025-08-14T21:50:59.6115491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6115574Z return x * self.gate(x_se) 2025-08-14T21:50:59.6115578Z 2025-08-14T21:50:59.6115682Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6115871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6115938Z return mod(*inputs) 2025-08-14T21:50:59.6116139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6116206Z x = self.forward_features(x) 2025-08-14T21:50:59.6116433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6116494Z x = self.blocks(x) 2025-08-14T21:50:59.6116710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6116777Z x = self.se(x) 2025-08-14T21:50:59.6116989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6117062Z return x * self.gate(x_se) 2025-08-14T21:50:59.6117065Z 2025-08-14T21:50:59.6117140Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6117238Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6117439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6117499Z return mod(*inputs) 2025-08-14T21:50:59.6117702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6117777Z x = self.forward_features(x) 2025-08-14T21:50:59.6118001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6118086Z x = self.blocks(x) 2025-08-14T21:50:59.6118487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6118558Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6118767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6118870Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6119088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6119199Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6119203Z 2025-08-14T21:50:59.6119303Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6119553Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6119617Z return mod(*inputs) 2025-08-14T21:50:59.6119831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6119909Z x = self.forward_features(x) 2025-08-14T21:50:59.6120144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6120212Z x = self.blocks(x) 2025-08-14T21:50:59.6120437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6120502Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6120721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6120824Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6121041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6121152Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6121185Z 2025-08-14T21:50:59.6121267Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6121405Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6121603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6121667Z return mod(*inputs) 2025-08-14T21:50:59.6121883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6121951Z x = self.forward_features(x) 2025-08-14T21:50:59.6122182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6122252Z x = self.blocks(x) 2025-08-14T21:50:59.6122477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6122548Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6122756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6122859Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6123079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6123179Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6123182Z 2025-08-14T21:50:59.6123287Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6123484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6123557Z return mod(*inputs) 2025-08-14T21:50:59.6123768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6123836Z x = self.forward_features(x) 2025-08-14T21:50:59.6124088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6124160Z x = self.blocks(x) 2025-08-14T21:50:59.6124378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6124450Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6124647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6124743Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6124958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6125055Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6125058Z 2025-08-14T21:50:59.6125152Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6125235Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6125334Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6125543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6125606Z return mod(*inputs) 2025-08-14T21:50:59.6125817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6125893Z x = self.forward_features(x) 2025-08-14T21:50:59.6126126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6126188Z x = self.blocks(x) 2025-08-14T21:50:59.6126422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6126487Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6126700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6126765Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6126786Z 2025-08-14T21:50:59.6126889Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6127117Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6127184Z return mod(*inputs) 2025-08-14T21:50:59.6127396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6127472Z x = self.forward_features(x) 2025-08-14T21:50:59.6127704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6127771Z x = self.blocks(x) 2025-08-14T21:50:59.6127996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:59.6128070Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:59.6128073Z 2025-08-14T21:50:59.6128179Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6128381Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6128456Z return mod(*inputs) 2025-08-14T21:50:59.6128677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6128747Z x = self.forward_features(x) 2025-08-14T21:50:59.6129000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6129063Z x = self.blocks(x) 2025-08-14T21:50:59.6129300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6129374Z x = self.conv_pw(x) 2025-08-14T21:50:59.6129589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6129703Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6129950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6130063Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6130067Z 2025-08-14T21:50:59.6130182Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6130387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6130454Z return mod(*inputs) 2025-08-14T21:50:59.6130742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6130824Z x = self.forward_features(x) 2025-08-14T21:50:59.6131086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6131178Z x = self.blocks(x) 2025-08-14T21:50:59.6131427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6131506Z x = self.conv_pw(x) 2025-08-14T21:50:59.6131737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6131847Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6132101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6132207Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6132210Z 2025-08-14T21:50:59.6132325Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6132538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6132606Z return mod(*inputs) 2025-08-14T21:50:59.6132843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6132916Z x = self.forward_features(x) 2025-08-14T21:50:59.6133200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6133267Z x = self.blocks(x) 2025-08-14T21:50:59.6133524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6133603Z x = self.conv_pw(x) 2025-08-14T21:50:59.6133823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6133930Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6134174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6134279Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6134284Z 2025-08-14T21:50:59.6134398Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6134610Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6134679Z return mod(*inputs) 2025-08-14T21:50:59.6134911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6134984Z x = self.forward_features(x) 2025-08-14T21:50:59.6135250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6135315Z x = self.blocks(x) 2025-08-14T21:50:59.6135555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6135628Z x = self.conv_pw(x) 2025-08-14T21:50:59.6135843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6135948Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6136221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6136328Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6136332Z 2025-08-14T21:50:59.6136425Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6136507Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6136612Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6136827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6136894Z return mod(*inputs) 2025-08-14T21:50:59.6137117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6137198Z x = self.forward_features(x) 2025-08-14T21:50:59.6137467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6137540Z x = self.blocks(x) 2025-08-14T21:50:59.6137782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6137849Z x = self.conv_pw(x) 2025-08-14T21:50:59.6138076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6138144Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6138148Z 2025-08-14T21:50:59.6138253Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6138476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6138542Z return mod(*inputs) 2025-08-14T21:50:59.6138773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6138847Z x = self.forward_features(x) 2025-08-14T21:50:59.6139095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6139185Z x = self.blocks(x) 2025-08-14T21:50:59.6139428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6139509Z x = self.bn1(x) 2025-08-14T21:50:59.6139728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:59.6139793Z x = F.batch_norm( 2025-08-14T21:50:59.6139797Z 2025-08-14T21:50:59.6139911Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6140116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6140184Z return mod(*inputs) 2025-08-14T21:50:59.6140410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6140484Z x = self.forward_features(x) 2025-08-14T21:50:59.6140724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6140797Z x = self.blocks(x) 2025-08-14T21:50:59.6141015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6141081Z x = self.bn1(x) 2025-08-14T21:50:59.6141271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6141330Z x = self.act(x) 2025-08-14T21:50:59.6141333Z 2025-08-14T21:50:59.6141417Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6141513Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6141708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6141770Z return mod(*inputs) 2025-08-14T21:50:59.6141974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6142046Z x = self.forward_features(x) 2025-08-14T21:50:59.6142285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6142349Z x = self.blocks(x) 2025-08-14T21:50:59.6142580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6142639Z x = self.conv_dw(x) 2025-08-14T21:50:59.6142843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6142941Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6143146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6143250Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6143269Z 2025-08-14T21:50:59.6143366Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6143557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6143627Z return mod(*inputs) 2025-08-14T21:50:59.6143829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6143901Z x = self.forward_features(x) 2025-08-14T21:50:59.6144124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6144185Z x = self.blocks(x) 2025-08-14T21:50:59.6144415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6144477Z x = self.conv_dw(x) 2025-08-14T21:50:59.6144677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6144786Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6144999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6145126Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6145144Z 2025-08-14T21:50:59.6145225Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6145326Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6145537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6145598Z return mod(*inputs) 2025-08-14T21:50:59.6145814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6145881Z x = self.forward_features(x) 2025-08-14T21:50:59.6146111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6146183Z x = self.blocks(x) 2025-08-14T21:50:59.6146409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6146473Z x = self.conv_dw(x) 2025-08-14T21:50:59.6146685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6146784Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6147004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6147102Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6147106Z 2025-08-14T21:50:59.6147207Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6147410Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6147474Z return mod(*inputs) 2025-08-14T21:50:59.6147682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6147759Z x = self.forward_features(x) 2025-08-14T21:50:59.6148009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6148081Z x = self.blocks(x) 2025-08-14T21:50:59.6148306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6148369Z x = self.conv_dw(x) 2025-08-14T21:50:59.6148592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6148690Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6148897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6149021Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6149024Z 2025-08-14T21:50:59.6149100Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6149209Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6149400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6149462Z return mod(*inputs) 2025-08-14T21:50:59.6149671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6149739Z x = self.forward_features(x) 2025-08-14T21:50:59.6149974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6150035Z x = self.blocks(x) 2025-08-14T21:50:59.6150255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6150326Z x = self.conv_dw(x) 2025-08-14T21:50:59.6150536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6150662Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6150893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6150989Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6150993Z 2025-08-14T21:50:59.6151097Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6151286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6151348Z return mod(*inputs) 2025-08-14T21:50:59.6151563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6151632Z x = self.forward_features(x) 2025-08-14T21:50:59.6151864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6151932Z x = self.blocks(x) 2025-08-14T21:50:59.6152160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6152228Z x = self.conv_dw(x) 2025-08-14T21:50:59.6152432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6152530Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6152750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6152847Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6152850Z 2025-08-14T21:50:59.6152935Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6153035Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6153233Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6153304Z return mod(*inputs) 2025-08-14T21:50:59.6153531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6153600Z x = self.forward_features(x) 2025-08-14T21:50:59.6153840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6153901Z x = self.blocks(x) 2025-08-14T21:50:59.6154132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6154194Z x = self.conv_dw(x) 2025-08-14T21:50:59.6154398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6154505Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6154746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6154844Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6154849Z 2025-08-14T21:50:59.6154960Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6155158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6155228Z return mod(*inputs) 2025-08-14T21:50:59.6155438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6155506Z x = self.forward_features(x) 2025-08-14T21:50:59.6155741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6155802Z x = self.blocks(x) 2025-08-14T21:50:59.6156024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6156095Z x = self.conv_dw(x) 2025-08-14T21:50:59.6156301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6156426Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6156663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6156763Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6156767Z 2025-08-14T21:50:59.6156850Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6156929Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6157014Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6157090Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6157192Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6157396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6157465Z return mod(*inputs) 2025-08-14T21:50:59.6157676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6157758Z x = self.forward_features(x) 2025-08-14T21:50:59.6157994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6158059Z x = self.blocks(x) 2025-08-14T21:50:59.6158291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6158357Z x = self.conv_dw(x) 2025-08-14T21:50:59.6158571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6158641Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6158644Z 2025-08-14T21:50:59.6158723Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6158832Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6159030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6159107Z return mod(*inputs) 2025-08-14T21:50:59.6159337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6159409Z x = self.forward_features(x) 2025-08-14T21:50:59.6159649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6159710Z x = self.blocks(x) 2025-08-14T21:50:59.6159936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6160005Z x = self.se(x) 2025-08-14T21:50:59.6160229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:59.6160310Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:59.6160331Z 2025-08-14T21:50:59.6160431Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6160625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6160699Z return mod(*inputs) 2025-08-14T21:50:59.6160908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6160976Z x = self.forward_features(x) 2025-08-14T21:50:59.6161216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6161278Z x = self.blocks(x) 2025-08-14T21:50:59.6161507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6161566Z x = self.se(x) 2025-08-14T21:50:59.6161789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6161863Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6161866Z 2025-08-14T21:50:59.6161964Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6162179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6162250Z return mod(*inputs) 2025-08-14T21:50:59.6162476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6162553Z x = self.forward_features(x) 2025-08-14T21:50:59.6162788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6162848Z x = self.blocks(x) 2025-08-14T21:50:59.6163077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6163136Z x = self.se(x) 2025-08-14T21:50:59.6163369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6163445Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6163448Z 2025-08-14T21:50:59.6163550Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6163755Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6163820Z return mod(*inputs) 2025-08-14T21:50:59.6164028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6164104Z x = self.forward_features(x) 2025-08-14T21:50:59.6164337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6164406Z x = self.blocks(x) 2025-08-14T21:50:59.6164628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6164686Z x = self.se(x) 2025-08-14T21:50:59.6164919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6164987Z return x * self.gate(x_se) 2025-08-14T21:50:59.6164992Z 2025-08-14T21:50:59.6165109Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6165314Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6165378Z return mod(*inputs) 2025-08-14T21:50:59.6165594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6165663Z x = self.forward_features(x) 2025-08-14T21:50:59.6165895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6165964Z x = self.blocks(x) 2025-08-14T21:50:59.6166216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6166298Z x = self.se(x) 2025-08-14T21:50:59.6166540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6166615Z return x * self.gate(x_se) 2025-08-14T21:50:59.6166618Z 2025-08-14T21:50:59.6166732Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6166953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6167019Z return mod(*inputs) 2025-08-14T21:50:59.6167249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6167321Z x = self.forward_features(x) 2025-08-14T21:50:59.6167565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6167637Z x = self.blocks(x) 2025-08-14T21:50:59.6167872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6167944Z x = self.se(x) 2025-08-14T21:50:59.6168179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6168268Z return x * self.gate(x_se) 2025-08-14T21:50:59.6168272Z 2025-08-14T21:50:59.6168379Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6168486Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6168724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6168798Z return mod(*inputs) 2025-08-14T21:50:59.6169020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6169098Z x = self.forward_features(x) 2025-08-14T21:50:59.6169344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6169409Z x = self.blocks(x) 2025-08-14T21:50:59.6169650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6169722Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6169947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6170065Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6170289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6170403Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6170406Z 2025-08-14T21:50:59.6170509Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6170798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6170887Z return mod(*inputs) 2025-08-14T21:50:59.6171142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6171227Z x = self.forward_features(x) 2025-08-14T21:50:59.6171549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6171622Z x = self.blocks(x) 2025-08-14T21:50:59.6171889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6171961Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6172179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6172295Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6172537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6172665Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6172669Z 2025-08-14T21:50:59.6172746Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6172847Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6173052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6173115Z return mod(*inputs) 2025-08-14T21:50:59.6173323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6173400Z x = self.forward_features(x) 2025-08-14T21:50:59.6173631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6173700Z x = self.blocks(x) 2025-08-14T21:50:59.6173922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6173988Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6174202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6174304Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6174544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6174660Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6174664Z 2025-08-14T21:50:59.6174766Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6174971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6175037Z return mod(*inputs) 2025-08-14T21:50:59.6175245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6175322Z x = self.forward_features(x) 2025-08-14T21:50:59.6175556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6175627Z x = self.blocks(x) 2025-08-14T21:50:59.6175851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6175918Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6176130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6176232Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6176445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6176552Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6176556Z 2025-08-14T21:50:59.6176635Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6176720Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6176819Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6177016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6177090Z return mod(*inputs) 2025-08-14T21:50:59.6177314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6177387Z x = self.forward_features(x) 2025-08-14T21:50:59.6177630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6177692Z x = self.blocks(x) 2025-08-14T21:50:59.6177922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6177986Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6178191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6178264Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6178285Z 2025-08-14T21:50:59.6178388Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6178591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6178659Z return mod(*inputs) 2025-08-14T21:50:59.6178869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6178944Z x = self.forward_features(x) 2025-08-14T21:50:59.6179174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6179235Z x = self.blocks(x) 2025-08-14T21:50:59.6179466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:59.6179538Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:59.6179541Z 2025-08-14T21:50:59.6179647Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6179842Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6179906Z return mod(*inputs) 2025-08-14T21:50:59.6180147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6180214Z x = self.forward_features(x) 2025-08-14T21:50:59.6180457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6180528Z x = self.blocks(x) 2025-08-14T21:50:59.6180750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6180819Z x = self.conv_pw(x) 2025-08-14T21:50:59.6181025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6181125Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6181344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6181443Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6181447Z 2025-08-14T21:50:59.6181556Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6181752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6181817Z return mod(*inputs) 2025-08-14T21:50:59.6182030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6182097Z x = self.forward_features(x) 2025-08-14T21:50:59.6182326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6182421Z x = self.blocks(x) 2025-08-14T21:50:59.6182644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6182716Z x = self.conv_pw(x) 2025-08-14T21:50:59.6182921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6183036Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6183259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6183358Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6183362Z 2025-08-14T21:50:59.6183463Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6183667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6183732Z return mod(*inputs) 2025-08-14T21:50:59.6183950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6184020Z x = self.forward_features(x) 2025-08-14T21:50:59.6184282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6184353Z x = self.blocks(x) 2025-08-14T21:50:59.6184582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6184651Z x = self.conv_pw(x) 2025-08-14T21:50:59.6184868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6184977Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6185217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6185325Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6185328Z 2025-08-14T21:50:59.6185438Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6185657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6185729Z return mod(*inputs) 2025-08-14T21:50:59.6185962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6186053Z x = self.forward_features(x) 2025-08-14T21:50:59.6186319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6186394Z x = self.blocks(x) 2025-08-14T21:50:59.6186631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6186697Z x = self.conv_pw(x) 2025-08-14T21:50:59.6186928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6187028Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6187248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6187348Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6187353Z 2025-08-14T21:50:59.6187435Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6187524Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6187634Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6187843Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6187919Z return mod(*inputs) 2025-08-14T21:50:59.6188139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6188219Z x = self.forward_features(x) 2025-08-14T21:50:59.6188464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6188529Z x = self.blocks(x) 2025-08-14T21:50:59.6188779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:50:59.6188845Z x = self.conv_pw(x) 2025-08-14T21:50:59.6189080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6189160Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6189166Z 2025-08-14T21:50:59.6189273Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6189487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6189553Z return mod(*inputs) 2025-08-14T21:50:59.6189774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6189855Z x = self.forward_features(x) 2025-08-14T21:50:59.6190095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6190180Z x = self.blocks(x) 2025-08-14T21:50:59.6190426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6190494Z x = self.bn1(x) 2025-08-14T21:50:59.6190714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:50:59.6190780Z x = F.batch_norm( 2025-08-14T21:50:59.6190784Z 2025-08-14T21:50:59.6190890Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6191105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6191172Z return mod(*inputs) 2025-08-14T21:50:59.6191404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6191475Z x = self.forward_features(x) 2025-08-14T21:50:59.6191723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6191796Z x = self.blocks(x) 2025-08-14T21:50:59.6192033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6192117Z x = self.bn1(x) 2025-08-14T21:50:59.6192353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6192417Z x = self.act(x) 2025-08-14T21:50:59.6192421Z 2025-08-14T21:50:59.6192510Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6192615Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6192818Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6192892Z return mod(*inputs) 2025-08-14T21:50:59.6193116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6193189Z x = self.forward_features(x) 2025-08-14T21:50:59.6193442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6193508Z x = self.blocks(x) 2025-08-14T21:50:59.6193753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6193820Z x = self.conv_dw(x) 2025-08-14T21:50:59.6194039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6194157Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6194381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6194490Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6194494Z 2025-08-14T21:50:59.6194609Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6194815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6194892Z return mod(*inputs) 2025-08-14T21:50:59.6195131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6195204Z x = self.forward_features(x) 2025-08-14T21:50:59.6195511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6195578Z x = self.blocks(x) 2025-08-14T21:50:59.6195816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6195889Z x = self.conv_dw(x) 2025-08-14T21:50:59.6196112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6196227Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6196471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6196576Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6196581Z 2025-08-14T21:50:59.6196673Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6196779Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6196997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6197066Z return mod(*inputs) 2025-08-14T21:50:59.6197284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6197362Z x = self.forward_features(x) 2025-08-14T21:50:59.6197605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6197669Z x = self.blocks(x) 2025-08-14T21:50:59.6197917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6197978Z x = self.conv_dw(x) 2025-08-14T21:50:59.6198188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6198305Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6198526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6198632Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6198636Z 2025-08-14T21:50:59.6198734Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6198928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6199001Z return mod(*inputs) 2025-08-14T21:50:59.6199207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6199285Z x = self.forward_features(x) 2025-08-14T21:50:59.6199511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6199576Z x = self.blocks(x) 2025-08-14T21:50:59.6199806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6199868Z x = self.conv_dw(x) 2025-08-14T21:50:59.6200070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6200179Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6200388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6200495Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6200498Z 2025-08-14T21:50:59.6200577Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6200679Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6200879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6200967Z return mod(*inputs) 2025-08-14T21:50:59.6201178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6201245Z x = self.forward_features(x) 2025-08-14T21:50:59.6201478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6201548Z x = self.blocks(x) 2025-08-14T21:50:59.6201774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6201836Z x = self.conv_dw(x) 2025-08-14T21:50:59.6202047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6202173Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6202401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6202502Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6202505Z 2025-08-14T21:50:59.6202607Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6202817Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6202879Z return mod(*inputs) 2025-08-14T21:50:59.6203081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6203155Z x = self.forward_features(x) 2025-08-14T21:50:59.6203379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6203446Z x = self.blocks(x) 2025-08-14T21:50:59.6203666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6203727Z x = self.conv_dw(x) 2025-08-14T21:50:59.6203961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6204079Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6204301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6204400Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6204403Z 2025-08-14T21:50:59.6204482Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6204588Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6204785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6204849Z return mod(*inputs) 2025-08-14T21:50:59.6205065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6205131Z x = self.forward_features(x) 2025-08-14T21:50:59.6205372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6205435Z x = self.blocks(x) 2025-08-14T21:50:59.6205658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6205730Z x = self.conv_dw(x) 2025-08-14T21:50:59.6205932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6206032Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6206253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6206353Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6206358Z 2025-08-14T21:50:59.6206464Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6206680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6206748Z return mod(*inputs) 2025-08-14T21:50:59.6206972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6207043Z x = self.forward_features(x) 2025-08-14T21:50:59.6207276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6207346Z x = self.blocks(x) 2025-08-14T21:50:59.6207583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6207656Z x = self.conv_dw(x) 2025-08-14T21:50:59.6207874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6207998Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6208235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6208342Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6208347Z 2025-08-14T21:50:59.6208437Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6208518Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6208598Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6208686Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6208795Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6209003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6209077Z return mod(*inputs) 2025-08-14T21:50:59.6209299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6209378Z x = self.forward_features(x) 2025-08-14T21:50:59.6209628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6209714Z x = self.blocks(x) 2025-08-14T21:50:59.6209976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6210043Z x = self.conv_dw(x) 2025-08-14T21:50:59.6210260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6210339Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6210343Z 2025-08-14T21:50:59.6210423Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6210535Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6210826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6210904Z return mod(*inputs) 2025-08-14T21:50:59.6211142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6211221Z x = self.forward_features(x) 2025-08-14T21:50:59.6211475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6211554Z x = self.blocks(x) 2025-08-14T21:50:59.6211797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6211869Z x = self.se(x) 2025-08-14T21:50:59.6212109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:59.6212185Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:59.6212189Z 2025-08-14T21:50:59.6212298Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6212492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6212557Z return mod(*inputs) 2025-08-14T21:50:59.6212790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6212863Z x = self.forward_features(x) 2025-08-14T21:50:59.6213107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6213169Z x = self.blocks(x) 2025-08-14T21:50:59.6213392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6213460Z x = self.se(x) 2025-08-14T21:50:59.6213683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6213750Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6213761Z 2025-08-14T21:50:59.6213863Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6214078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6214148Z return mod(*inputs) 2025-08-14T21:50:59.6214367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6214435Z x = self.forward_features(x) 2025-08-14T21:50:59.6214677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6214738Z x = self.blocks(x) 2025-08-14T21:50:59.6214961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6215027Z x = self.se(x) 2025-08-14T21:50:59.6215247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6215318Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6215324Z 2025-08-14T21:50:59.6215424Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6215616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6215709Z return mod(*inputs) 2025-08-14T21:50:59.6215941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6216018Z x = self.forward_features(x) 2025-08-14T21:50:59.6216251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6216312Z x = self.blocks(x) 2025-08-14T21:50:59.6216544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6216603Z x = self.se(x) 2025-08-14T21:50:59.6216823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6216902Z return x * self.gate(x_se) 2025-08-14T21:50:59.6216905Z 2025-08-14T21:50:59.6217008Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6217233Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6217300Z return mod(*inputs) 2025-08-14T21:50:59.6217521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6217614Z x = self.forward_features(x) 2025-08-14T21:50:59.6217846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6217905Z x = self.blocks(x) 2025-08-14T21:50:59.6218133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6218190Z x = self.se(x) 2025-08-14T21:50:59.6218624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6218701Z return x * self.gate(x_se) 2025-08-14T21:50:59.6218705Z 2025-08-14T21:50:59.6218804Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6219063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6219130Z return mod(*inputs) 2025-08-14T21:50:59.6219349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6219424Z x = self.forward_features(x) 2025-08-14T21:50:59.6219657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6219725Z x = self.blocks(x) 2025-08-14T21:50:59.6219952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6220010Z x = self.se(x) 2025-08-14T21:50:59.6220269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6220338Z return x * self.gate(x_se) 2025-08-14T21:50:59.6220342Z 2025-08-14T21:50:59.6220430Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6220531Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6220728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6220801Z return mod(*inputs) 2025-08-14T21:50:59.6221008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6221078Z x = self.forward_features(x) 2025-08-14T21:50:59.6221318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6221379Z x = self.blocks(x) 2025-08-14T21:50:59.6221607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6221675Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6221881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6222017Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6222260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6222366Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6222370Z 2025-08-14T21:50:59.6222477Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6222672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6222743Z return mod(*inputs) 2025-08-14T21:50:59.6222948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6223020Z x = self.forward_features(x) 2025-08-14T21:50:59.6223254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6223317Z x = self.blocks(x) 2025-08-14T21:50:59.6223542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6223615Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6223816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6223921Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6224131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6224229Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6224232Z 2025-08-14T21:50:59.6224318Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6224421Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6224618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6224713Z return mod(*inputs) 2025-08-14T21:50:59.6224921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6224997Z x = self.forward_features(x) 2025-08-14T21:50:59.6225228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6225289Z x = self.blocks(x) 2025-08-14T21:50:59.6225517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6225582Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6225791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6225911Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6226122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6226230Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6226234Z 2025-08-14T21:50:59.6226335Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6226530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6226600Z return mod(*inputs) 2025-08-14T21:50:59.6226807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6226882Z x = self.forward_features(x) 2025-08-14T21:50:59.6227112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6227172Z x = self.blocks(x) 2025-08-14T21:50:59.6227404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6227470Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6227695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6227825Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6228048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6228159Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6228162Z 2025-08-14T21:50:59.6228247Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6228328Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6228448Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6228644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6228718Z return mod(*inputs) 2025-08-14T21:50:59.6228927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6228999Z x = self.forward_features(x) 2025-08-14T21:50:59.6229236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6229300Z x = self.blocks(x) 2025-08-14T21:50:59.6229523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6229597Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6229799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6229874Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6229877Z 2025-08-14T21:50:59.6229975Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6230168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6230241Z return mod(*inputs) 2025-08-14T21:50:59.6230446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6230531Z x = self.forward_features(x) 2025-08-14T21:50:59.6230771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6230832Z x = self.blocks(x) 2025-08-14T21:50:59.6231062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:59.6231134Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:59.6231137Z 2025-08-14T21:50:59.6231236Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6231433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6231495Z return mod(*inputs) 2025-08-14T21:50:59.6231722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6231800Z x = self.forward_features(x) 2025-08-14T21:50:59.6232033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6232102Z x = self.blocks(x) 2025-08-14T21:50:59.6232326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6232387Z x = self.bn1(x) 2025-08-14T21:50:59.6232591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6232651Z x = self.act(x) 2025-08-14T21:50:59.6232654Z 2025-08-14T21:50:59.6232752Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6232952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6233018Z return mod(*inputs) 2025-08-14T21:50:59.6233238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6233324Z x = self.forward_features(x) 2025-08-14T21:50:59.6233560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6233644Z x = self.blocks(x) 2025-08-14T21:50:59.6233869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6233930Z x = self.bn1(x) 2025-08-14T21:50:59.6234135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6234196Z x = self.act(x) 2025-08-14T21:50:59.6234199Z 2025-08-14T21:50:59.6234307Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6234503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6234570Z return mod(*inputs) 2025-08-14T21:50:59.6234784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6234857Z x = self.forward_features(x) 2025-08-14T21:50:59.6235096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6235157Z x = self.blocks(x) 2025-08-14T21:50:59.6235380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6235450Z x = self.conv_dw(x) 2025-08-14T21:50:59.6235653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6235755Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6235975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6236079Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6236308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.6236377Z return conv2d_same( 2025-08-14T21:50:59.6236591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:59.6236703Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:59.6236904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:59.6237055Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:59.6237255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:59.6237359Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:59.6237381Z 2025-08-14T21:50:59.6237490Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6237695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6237761Z return mod(*inputs) 2025-08-14T21:50:59.6237972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6238039Z x = self.forward_features(x) 2025-08-14T21:50:59.6238271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6238331Z x = self.blocks(x) 2025-08-14T21:50:59.6238553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6238622Z x = self.conv_dw(x) 2025-08-14T21:50:59.6238823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6238926Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6239144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6239262Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6239498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.6239562Z return conv2d_same( 2025-08-14T21:50:59.6239771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.6239907Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.6239910Z 2025-08-14T21:50:59.6240011Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6240204Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6240275Z return mod(*inputs) 2025-08-14T21:50:59.6240482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6240559Z x = self.forward_features(x) 2025-08-14T21:50:59.6240785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6240846Z x = self.blocks(x) 2025-08-14T21:50:59.6241072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6241135Z x = self.conv_dw(x) 2025-08-14T21:50:59.6241333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6241441Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6241651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6241759Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6241956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.6242035Z return conv2d_same( 2025-08-14T21:50:59.6242256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.6242382Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.6242386Z 2025-08-14T21:50:59.6242491Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6242683Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6242745Z return mod(*inputs) 2025-08-14T21:50:59.6242957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6243025Z x = self.forward_features(x) 2025-08-14T21:50:59.6243279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6243349Z x = self.blocks(x) 2025-08-14T21:50:59.6243576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6243648Z x = self.conv_dw(x) 2025-08-14T21:50:59.6243852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6243953Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6244171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6244275Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6244486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.6244558Z return conv2d_same( 2025-08-14T21:50:59.6244781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:59.6244896Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:59.6245125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:59.6245308Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:59.6245520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:59.6245625Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:59.6245628Z 2025-08-14T21:50:59.6245741Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6245946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6246013Z return mod(*inputs) 2025-08-14T21:50:59.6246245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6246317Z x = self.forward_features(x) 2025-08-14T21:50:59.6246566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6246638Z x = self.blocks(x) 2025-08-14T21:50:59.6246876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6246949Z x = self.conv_dw(x) 2025-08-14T21:50:59.6247164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6247270Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6247503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6247608Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6247826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.6247903Z return conv2d_same( 2025-08-14T21:50:59.6248149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.6248295Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.6248299Z 2025-08-14T21:50:59.6248407Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6248617Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6248693Z return mod(*inputs) 2025-08-14T21:50:59.6248913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6248992Z x = self.forward_features(x) 2025-08-14T21:50:59.6249236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6249345Z x = self.blocks(x) 2025-08-14T21:50:59.6249593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6249660Z x = self.conv_dw(x) 2025-08-14T21:50:59.6249876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6249992Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6250216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6250326Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6250539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.6250604Z return conv2d_same( 2025-08-14T21:50:59.6250917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.6251059Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.6251088Z 2025-08-14T21:50:59.6251207Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6251435Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6251504Z return mod(*inputs) 2025-08-14T21:50:59.6251736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6251809Z x = self.forward_features(x) 2025-08-14T21:50:59.6252058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6252132Z x = self.blocks(x) 2025-08-14T21:50:59.6252369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6252443Z x = self.conv_dw(x) 2025-08-14T21:50:59.6252662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6252772Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6253007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6253114Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6253329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.6253405Z return conv2d_same( 2025-08-14T21:50:59.6253630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:59.6253744Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:59.6253956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:59.6254106Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:59.6254336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:59.6254441Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:59.6254446Z 2025-08-14T21:50:59.6254561Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6254771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6254839Z return mod(*inputs) 2025-08-14T21:50:59.6255067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6255139Z x = self.forward_features(x) 2025-08-14T21:50:59.6255387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6255479Z x = self.blocks(x) 2025-08-14T21:50:59.6255718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6255794Z x = self.conv_dw(x) 2025-08-14T21:50:59.6256014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6256120Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6256359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6256465Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6256680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.6256755Z return conv2d_same( 2025-08-14T21:50:59.6256985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.6257128Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.6257131Z 2025-08-14T21:50:59.6257263Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6257474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6257567Z return mod(*inputs) 2025-08-14T21:50:59.6257794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6257867Z x = self.forward_features(x) 2025-08-14T21:50:59.6258123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6258189Z x = self.blocks(x) 2025-08-14T21:50:59.6258437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6258503Z x = self.conv_dw(x) 2025-08-14T21:50:59.6258723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6258836Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6259064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6259178Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6259395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.6259460Z return conv2d_same( 2025-08-14T21:50:59.6259701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.6259835Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.6259839Z 2025-08-14T21:50:59.6259946Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6260167Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6260235Z return mod(*inputs) 2025-08-14T21:50:59.6260488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6260564Z x = self.forward_features(x) 2025-08-14T21:50:59.6260823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6260896Z x = self.blocks(x) 2025-08-14T21:50:59.6261134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6261199Z x = self.conv_dw(x) 2025-08-14T21:50:59.6261423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6261530Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6261780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6261884Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6262097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.6262172Z return conv2d_same( 2025-08-14T21:50:59.6262396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:50:59.6262501Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:50:59.6262717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:50:59.6262866Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:50:59.6263074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:50:59.6263177Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:50:59.6263181Z 2025-08-14T21:50:59.6263290Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6263531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6263604Z return mod(*inputs) 2025-08-14T21:50:59.6263880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6263957Z x = self.forward_features(x) 2025-08-14T21:50:59.6264210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6264281Z x = self.blocks(x) 2025-08-14T21:50:59.6264521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6264588Z x = self.conv_dw(x) 2025-08-14T21:50:59.6264813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6264921Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6265160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6265269Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6265482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.6265556Z return conv2d_same( 2025-08-14T21:50:59.6265788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.6265923Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.6265934Z 2025-08-14T21:50:59.6266041Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6266250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6266327Z return mod(*inputs) 2025-08-14T21:50:59.6266569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6266645Z x = self.forward_features(x) 2025-08-14T21:50:59.6266901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6266965Z x = self.blocks(x) 2025-08-14T21:50:59.6267215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6267281Z x = self.conv_dw(x) 2025-08-14T21:50:59.6267505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6267618Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6267848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6267976Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6268198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:50:59.6268267Z return conv2d_same( 2025-08-14T21:50:59.6268507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:50:59.6268643Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:50:59.6268647Z 2025-08-14T21:50:59.6268736Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6268833Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6268918Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6269001Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6269120Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6269335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6269416Z return mod(*inputs) 2025-08-14T21:50:59.6269647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6269746Z x = self.forward_features(x) 2025-08-14T21:50:59.6270018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6270083Z x = self.blocks(x) 2025-08-14T21:50:59.6270323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6270398Z x = self.conv_dw(x) 2025-08-14T21:50:59.6270614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6270692Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6270695Z 2025-08-14T21:50:59.6270775Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6270882Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6271096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6271167Z return mod(*inputs) 2025-08-14T21:50:59.6271396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6271473Z x = self.forward_features(x) 2025-08-14T21:50:59.6271708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6271778Z x = self.blocks(x) 2025-08-14T21:50:59.6272011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6272074Z x = self.se(x) 2025-08-14T21:50:59.6272317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:59.6272398Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:59.6272402Z 2025-08-14T21:50:59.6272516Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6272747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6272816Z return mod(*inputs) 2025-08-14T21:50:59.6273045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6273118Z x = self.forward_features(x) 2025-08-14T21:50:59.6273365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6273444Z x = self.blocks(x) 2025-08-14T21:50:59.6273679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6273750Z x = self.se(x) 2025-08-14T21:50:59.6273984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6274074Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6274078Z 2025-08-14T21:50:59.6274190Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6274401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6274469Z return mod(*inputs) 2025-08-14T21:50:59.6274698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6274770Z x = self.forward_features(x) 2025-08-14T21:50:59.6275022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6275086Z x = self.blocks(x) 2025-08-14T21:50:59.6275320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6275390Z x = self.se(x) 2025-08-14T21:50:59.6275624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6275693Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6275714Z 2025-08-14T21:50:59.6275829Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6276056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6276133Z return mod(*inputs) 2025-08-14T21:50:59.6276353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6276425Z x = self.forward_features(x) 2025-08-14T21:50:59.6276683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6276747Z x = self.blocks(x) 2025-08-14T21:50:59.6276995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6277065Z x = self.se(x) 2025-08-14T21:50:59.6277290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6277369Z return x * self.gate(x_se) 2025-08-14T21:50:59.6277374Z 2025-08-14T21:50:59.6277477Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6277677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6277750Z return mod(*inputs) 2025-08-14T21:50:59.6277965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6278043Z x = self.forward_features(x) 2025-08-14T21:50:59.6278292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6278354Z x = self.blocks(x) 2025-08-14T21:50:59.6278605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6278667Z x = self.se(x) 2025-08-14T21:50:59.6278913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6278993Z return x * self.gate(x_se) 2025-08-14T21:50:59.6278997Z 2025-08-14T21:50:59.6279101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6279308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6279373Z return mod(*inputs) 2025-08-14T21:50:59.6279592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6279670Z x = self.forward_features(x) 2025-08-14T21:50:59.6279919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6279980Z x = self.blocks(x) 2025-08-14T21:50:59.6280236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6280294Z x = self.se(x) 2025-08-14T21:50:59.6280520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6280586Z return x * self.gate(x_se) 2025-08-14T21:50:59.6280590Z 2025-08-14T21:50:59.6280688Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6280890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6280952Z return mod(*inputs) 2025-08-14T21:50:59.6281158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6281231Z x = self.forward_features(x) 2025-08-14T21:50:59.6281462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6281529Z x = self.blocks(x) 2025-08-14T21:50:59.6281748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6281834Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6281838Z 2025-08-14T21:50:59.6281943Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6282154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6282220Z return mod(*inputs) 2025-08-14T21:50:59.6282434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6282503Z x = self.forward_features(x) 2025-08-14T21:50:59.6282742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6282803Z x = self.blocks(x) 2025-08-14T21:50:59.6283026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6283103Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6283106Z 2025-08-14T21:50:59.6283206Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6283414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6283480Z return mod(*inputs) 2025-08-14T21:50:59.6283693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6283768Z x = self.forward_features(x) 2025-08-14T21:50:59.6283996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6284059Z x = self.blocks(x) 2025-08-14T21:50:59.6284302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6284367Z x = self.bn1(x) 2025-08-14T21:50:59.6284586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6284649Z x = self.act(x) 2025-08-14T21:50:59.6284655Z 2025-08-14T21:50:59.6284776Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6284993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6285061Z return mod(*inputs) 2025-08-14T21:50:59.6285281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6285361Z x = self.forward_features(x) 2025-08-14T21:50:59.6285605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6285677Z x = self.blocks(x) 2025-08-14T21:50:59.6285913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6285997Z x = self.bn1(x) 2025-08-14T21:50:59.6286215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6286280Z x = self.act(x) 2025-08-14T21:50:59.6286285Z 2025-08-14T21:50:59.6286390Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6286617Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6286684Z return mod(*inputs) 2025-08-14T21:50:59.6286912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6286985Z x = self.forward_features(x) 2025-08-14T21:50:59.6287232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6287304Z x = self.blocks(x) 2025-08-14T21:50:59.6287539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6287607Z x = self.conv_dw(x) 2025-08-14T21:50:59.6287883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6288014Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6288268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6288378Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6288382Z 2025-08-14T21:50:59.6288485Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6288699Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6288766Z return mod(*inputs) 2025-08-14T21:50:59.6288989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6289064Z x = self.forward_features(x) 2025-08-14T21:50:59.6289308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6289383Z x = self.blocks(x) 2025-08-14T21:50:59.6289626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6289696Z x = self.conv_dw(x) 2025-08-14T21:50:59.6289933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6290042Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6290279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6290387Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6290390Z 2025-08-14T21:50:59.6290497Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6290794Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6290872Z return mod(*inputs) 2025-08-14T21:50:59.6291128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6291213Z x = self.forward_features(x) 2025-08-14T21:50:59.6291474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6291552Z x = self.blocks(x) 2025-08-14T21:50:59.6291799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6291867Z x = self.conv_dw(x) 2025-08-14T21:50:59.6292102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6292227Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6292496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6292602Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6292607Z 2025-08-14T21:50:59.6292715Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6292932Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6292999Z return mod(*inputs) 2025-08-14T21:50:59.6293219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6293298Z x = self.forward_features(x) 2025-08-14T21:50:59.6293542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6293611Z x = self.blocks(x) 2025-08-14T21:50:59.6293848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6293914Z x = self.conv_dw(x) 2025-08-14T21:50:59.6294133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6294260Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6294501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6294614Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6294617Z 2025-08-14T21:50:59.6294723Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6294931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6294999Z return mod(*inputs) 2025-08-14T21:50:59.6295215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6295298Z x = self.forward_features(x) 2025-08-14T21:50:59.6295541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6295614Z x = self.blocks(x) 2025-08-14T21:50:59.6295852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6295918Z x = self.conv_dw(x) 2025-08-14T21:50:59.6296135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6296239Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6296460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6296572Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6296576Z 2025-08-14T21:50:59.6296681Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6296893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6296960Z return mod(*inputs) 2025-08-14T21:50:59.6297194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6297278Z x = self.forward_features(x) 2025-08-14T21:50:59.6297532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6297598Z x = self.blocks(x) 2025-08-14T21:50:59.6297846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6297912Z x = self.conv_dw(x) 2025-08-14T21:50:59.6298138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6298245Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6298492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6298604Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6298609Z 2025-08-14T21:50:59.6298718Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6298937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6299004Z return mod(*inputs) 2025-08-14T21:50:59.6299227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6299306Z x = self.forward_features(x) 2025-08-14T21:50:59.6299561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6299626Z x = self.blocks(x) 2025-08-14T21:50:59.6299871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6299939Z x = self.conv_dw(x) 2025-08-14T21:50:59.6300161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6300286Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6300526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6300640Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6300644Z 2025-08-14T21:50:59.6300751Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6300960Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6301035Z return mod(*inputs) 2025-08-14T21:50:59.6301254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6301332Z x = self.forward_features(x) 2025-08-14T21:50:59.6301578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6301643Z x = self.blocks(x) 2025-08-14T21:50:59.6301890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6301956Z x = self.conv_dw(x) 2025-08-14T21:50:59.6302170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6302282Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6302506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6302616Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6302619Z 2025-08-14T21:50:59.6302703Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6302784Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6302873Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6302951Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6303055Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6303290Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6303361Z return mod(*inputs) 2025-08-14T21:50:59.6303590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6303660Z x = self.forward_features(x) 2025-08-14T21:50:59.6303922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6303997Z x = self.blocks(x) 2025-08-14T21:50:59.6304236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6304303Z x = self.conv_dw(x) 2025-08-14T21:50:59.6304547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6304617Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6304622Z 2025-08-14T21:50:59.6304712Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6304819Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6305037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6305112Z return mod(*inputs) 2025-08-14T21:50:59.6305333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6305413Z x = self.forward_features(x) 2025-08-14T21:50:59.6305671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6305736Z x = self.blocks(x) 2025-08-14T21:50:59.6306031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6306095Z x = self.se(x) 2025-08-14T21:50:59.6306339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:59.6306448Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:59.6306452Z 2025-08-14T21:50:59.6306574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6306789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6306857Z return mod(*inputs) 2025-08-14T21:50:59.6307079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6307163Z x = self.forward_features(x) 2025-08-14T21:50:59.6307421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6307488Z x = self.blocks(x) 2025-08-14T21:50:59.6307739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6307808Z x = self.se(x) 2025-08-14T21:50:59.6308057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6308130Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6308135Z 2025-08-14T21:50:59.6308243Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6308464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6308534Z return mod(*inputs) 2025-08-14T21:50:59.6308758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6308843Z x = self.forward_features(x) 2025-08-14T21:50:59.6309132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6309210Z x = self.blocks(x) 2025-08-14T21:50:59.6309448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6309533Z x = self.se(x) 2025-08-14T21:50:59.6309781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6309849Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6309853Z 2025-08-14T21:50:59.6309965Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6310171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6310249Z return mod(*inputs) 2025-08-14T21:50:59.6310464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6310532Z x = self.forward_features(x) 2025-08-14T21:50:59.6310765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6310852Z x = self.blocks(x) 2025-08-14T21:50:59.6311077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6311144Z x = self.se(x) 2025-08-14T21:50:59.6311366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6311434Z return x * self.gate(x_se) 2025-08-14T21:50:59.6311438Z 2025-08-14T21:50:59.6311556Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6311747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6311811Z return mod(*inputs) 2025-08-14T21:50:59.6312021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6312088Z x = self.forward_features(x) 2025-08-14T21:50:59.6312323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6312383Z x = self.blocks(x) 2025-08-14T21:50:59.6312620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6312686Z x = self.se(x) 2025-08-14T21:50:59.6312917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6312986Z return x * self.gate(x_se) 2025-08-14T21:50:59.6312989Z 2025-08-14T21:50:59.6313094Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6313283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6313352Z return mod(*inputs) 2025-08-14T21:50:59.6313556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6313624Z x = self.forward_features(x) 2025-08-14T21:50:59.6313857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6313921Z x = self.blocks(x) 2025-08-14T21:50:59.6314146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6314212Z x = self.se(x) 2025-08-14T21:50:59.6314430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6314504Z return x * self.gate(x_se) 2025-08-14T21:50:59.6314507Z 2025-08-14T21:50:59.6314584Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6314684Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6314884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6314948Z return mod(*inputs) 2025-08-14T21:50:59.6315158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6315233Z x = self.forward_features(x) 2025-08-14T21:50:59.6315493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6315564Z x = self.blocks(x) 2025-08-14T21:50:59.6315787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6315853Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6316069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6316174Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6316398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6316503Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6316523Z 2025-08-14T21:50:59.6316623Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6316830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6316893Z return mod(*inputs) 2025-08-14T21:50:59.6317099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6317176Z x = self.forward_features(x) 2025-08-14T21:50:59.6317405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6317475Z x = self.blocks(x) 2025-08-14T21:50:59.6317698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6317764Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6317972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6318076Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6318434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6318599Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6318635Z 2025-08-14T21:50:59.6318722Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6318845Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6319042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6319106Z return mod(*inputs) 2025-08-14T21:50:59.6319323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6319392Z x = self.forward_features(x) 2025-08-14T21:50:59.6319624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6319696Z x = self.blocks(x) 2025-08-14T21:50:59.6319922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6319996Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6320203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6320306Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6320526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6320625Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6320628Z 2025-08-14T21:50:59.6320735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6320930Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6320994Z return mod(*inputs) 2025-08-14T21:50:59.6321205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6321313Z x = self.forward_features(x) 2025-08-14T21:50:59.6321548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6321617Z x = self.blocks(x) 2025-08-14T21:50:59.6321840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6321910Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6322119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6322219Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6322432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6322558Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6322561Z 2025-08-14T21:50:59.6322643Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6322721Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6322819Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6323017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6323079Z return mod(*inputs) 2025-08-14T21:50:59.6323284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6323359Z x = self.forward_features(x) 2025-08-14T21:50:59.6323587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6323648Z x = self.blocks(x) 2025-08-14T21:50:59.6323879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6323944Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6324154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6324239Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6324243Z 2025-08-14T21:50:59.6324356Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6324560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6324625Z return mod(*inputs) 2025-08-14T21:50:59.6324840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6324910Z x = self.forward_features(x) 2025-08-14T21:50:59.6325155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6325227Z x = self.blocks(x) 2025-08-14T21:50:59.6325466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:59.6325544Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:59.6325549Z 2025-08-14T21:50:59.6325665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6325874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6325947Z return mod(*inputs) 2025-08-14T21:50:59.6326166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6326237Z x = self.forward_features(x) 2025-08-14T21:50:59.6326489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6326555Z x = self.blocks(x) 2025-08-14T21:50:59.6326789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6326862Z x = self.bn1(x) 2025-08-14T21:50:59.6327073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6327146Z x = self.act(x) 2025-08-14T21:50:59.6327169Z 2025-08-14T21:50:59.6327276Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6327485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6327560Z return mod(*inputs) 2025-08-14T21:50:59.6327779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6327850Z x = self.forward_features(x) 2025-08-14T21:50:59.6328099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6328164Z x = self.blocks(x) 2025-08-14T21:50:59.6328407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6328496Z x = self.bn1(x) 2025-08-14T21:50:59.6328708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6328779Z x = self.act(x) 2025-08-14T21:50:59.6328783Z 2025-08-14T21:50:59.6328889Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6329102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6329168Z return mod(*inputs) 2025-08-14T21:50:59.6329386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6329464Z x = self.forward_features(x) 2025-08-14T21:50:59.6329707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6329771Z x = self.blocks(x) 2025-08-14T21:50:59.6330014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6330081Z x = self.conv_dw(x) 2025-08-14T21:50:59.6330321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6330429Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6330727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6330859Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6330863Z 2025-08-14T21:50:59.6330972Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6331184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6331262Z return mod(*inputs) 2025-08-14T21:50:59.6331486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6331570Z x = self.forward_features(x) 2025-08-14T21:50:59.6331820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6331891Z x = self.blocks(x) 2025-08-14T21:50:59.6332162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6332229Z x = self.conv_dw(x) 2025-08-14T21:50:59.6332444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6332558Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6332781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6332895Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6332899Z 2025-08-14T21:50:59.6333007Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6333214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6333293Z return mod(*inputs) 2025-08-14T21:50:59.6333532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6333614Z x = self.forward_features(x) 2025-08-14T21:50:59.6333859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6333923Z x = self.blocks(x) 2025-08-14T21:50:59.6334172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6334238Z x = self.conv_dw(x) 2025-08-14T21:50:59.6334455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6334567Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6334812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6334925Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6334929Z 2025-08-14T21:50:59.6335034Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6335243Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6335317Z return mod(*inputs) 2025-08-14T21:50:59.6335539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6335609Z x = self.forward_features(x) 2025-08-14T21:50:59.6335859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6335923Z x = self.blocks(x) 2025-08-14T21:50:59.6336165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6336233Z x = self.conv_dw(x) 2025-08-14T21:50:59.6336448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6336581Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6336833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6336947Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6336951Z 2025-08-14T21:50:59.6337056Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6337260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6337335Z return mod(*inputs) 2025-08-14T21:50:59.6337553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6337626Z x = self.forward_features(x) 2025-08-14T21:50:59.6337877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6337945Z x = self.blocks(x) 2025-08-14T21:50:59.6338190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6338254Z x = self.conv_dw(x) 2025-08-14T21:50:59.6338469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6338582Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6338806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6338909Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6338920Z 2025-08-14T21:50:59.6339025Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6339232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6339307Z return mod(*inputs) 2025-08-14T21:50:59.6339544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6339620Z x = self.forward_features(x) 2025-08-14T21:50:59.6339875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6339939Z x = self.blocks(x) 2025-08-14T21:50:59.6340180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6340253Z x = self.conv_dw(x) 2025-08-14T21:50:59.6340469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6340585Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6340833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6340943Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6340947Z 2025-08-14T21:50:59.6341062Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6341274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6341349Z return mod(*inputs) 2025-08-14T21:50:59.6341570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6341641Z x = self.forward_features(x) 2025-08-14T21:50:59.6341897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6341960Z x = self.blocks(x) 2025-08-14T21:50:59.6342194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6342271Z x = self.conv_dw(x) 2025-08-14T21:50:59.6342488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6342619Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6342866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6342971Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6342975Z 2025-08-14T21:50:59.6343088Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6343295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6343379Z return mod(*inputs) 2025-08-14T21:50:59.6343591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6343662Z x = self.forward_features(x) 2025-08-14T21:50:59.6343904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6343968Z x = self.blocks(x) 2025-08-14T21:50:59.6344194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6344265Z x = self.conv_dw(x) 2025-08-14T21:50:59.6344467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6344572Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6344786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6344884Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6344887Z 2025-08-14T21:50:59.6344973Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6345052Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6345129Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6345213Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6345333Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6345540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6345604Z return mod(*inputs) 2025-08-14T21:50:59.6345816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6345893Z x = self.forward_features(x) 2025-08-14T21:50:59.6346127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6346189Z x = self.blocks(x) 2025-08-14T21:50:59.6346420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6346505Z x = self.conv_dw(x) 2025-08-14T21:50:59.6346721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6346790Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6346795Z 2025-08-14T21:50:59.6346871Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6346979Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6347178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6347241Z return mod(*inputs) 2025-08-14T21:50:59.6347465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6347533Z x = self.forward_features(x) 2025-08-14T21:50:59.6347779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6347840Z x = self.blocks(x) 2025-08-14T21:50:59.6348070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6348134Z x = self.se(x) 2025-08-14T21:50:59.6348383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:59.6348457Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:59.6348480Z 2025-08-14T21:50:59.6348588Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6348781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6348850Z return mod(*inputs) 2025-08-14T21:50:59.6349057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6349125Z x = self.forward_features(x) 2025-08-14T21:50:59.6349365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6349428Z x = self.blocks(x) 2025-08-14T21:50:59.6349647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6349714Z x = self.se(x) 2025-08-14T21:50:59.6349937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6350007Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6350010Z 2025-08-14T21:50:59.6350110Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6350303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6350374Z return mod(*inputs) 2025-08-14T21:50:59.6350580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6350656Z x = self.forward_features(x) 2025-08-14T21:50:59.6350889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6350952Z x = self.blocks(x) 2025-08-14T21:50:59.6351199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6351261Z x = self.se(x) 2025-08-14T21:50:59.6351486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6351560Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6351563Z 2025-08-14T21:50:59.6351662Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6351866Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6351929Z return mod(*inputs) 2025-08-14T21:50:59.6352142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6352219Z x = self.forward_features(x) 2025-08-14T21:50:59.6352469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6352530Z x = self.blocks(x) 2025-08-14T21:50:59.6352765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6352824Z x = self.se(x) 2025-08-14T21:50:59.6353050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6353119Z return x * self.gate(x_se) 2025-08-14T21:50:59.6353122Z 2025-08-14T21:50:59.6353220Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6353420Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6353484Z return mod(*inputs) 2025-08-14T21:50:59.6353691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6353769Z x = self.forward_features(x) 2025-08-14T21:50:59.6353999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6354091Z x = self.blocks(x) 2025-08-14T21:50:59.6354334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6354395Z x = self.se(x) 2025-08-14T21:50:59.6354624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6354692Z return x * self.gate(x_se) 2025-08-14T21:50:59.6354696Z 2025-08-14T21:50:59.6354794Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6354998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6355062Z return mod(*inputs) 2025-08-14T21:50:59.6355280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6355350Z x = self.forward_features(x) 2025-08-14T21:50:59.6355582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6355652Z x = self.blocks(x) 2025-08-14T21:50:59.6355878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6355944Z x = self.se(x) 2025-08-14T21:50:59.6356164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6356232Z return x * self.gate(x_se) 2025-08-14T21:50:59.6356235Z 2025-08-14T21:50:59.6356321Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6356421Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6356615Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6356688Z return mod(*inputs) 2025-08-14T21:50:59.6356896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6356989Z x = self.forward_features(x) 2025-08-14T21:50:59.6357226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6357288Z x = self.blocks(x) 2025-08-14T21:50:59.6357518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6357585Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6357799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6357907Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6358119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6358244Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6358248Z 2025-08-14T21:50:59.6358344Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6358535Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6358606Z return mod(*inputs) 2025-08-14T21:50:59.6358807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6358873Z x = self.forward_features(x) 2025-08-14T21:50:59.6359103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6359162Z x = self.blocks(x) 2025-08-14T21:50:59.6359385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6359449Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6359647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6359754Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6360024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6360143Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6360147Z 2025-08-14T21:50:59.6360224Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6360319Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6360522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6360585Z return mod(*inputs) 2025-08-14T21:50:59.6360791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6360865Z x = self.forward_features(x) 2025-08-14T21:50:59.6361092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6361157Z x = self.blocks(x) 2025-08-14T21:50:59.6361377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6361441Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6361645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6361741Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6361943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6362045Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6362048Z 2025-08-14T21:50:59.6362143Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6362339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6362402Z return mod(*inputs) 2025-08-14T21:50:59.6362617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6362697Z x = self.forward_features(x) 2025-08-14T21:50:59.6362921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6362979Z x = self.blocks(x) 2025-08-14T21:50:59.6363207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6363269Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6363472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6363570Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6363777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6363898Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6363903Z 2025-08-14T21:50:59.6363982Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6364065Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6364164Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6364358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6364429Z return mod(*inputs) 2025-08-14T21:50:59.6364632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6364699Z x = self.forward_features(x) 2025-08-14T21:50:59.6364937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6365003Z x = self.blocks(x) 2025-08-14T21:50:59.6365254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6365323Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6365559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6365637Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6365681Z 2025-08-14T21:50:59.6365789Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6365998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6366075Z return mod(*inputs) 2025-08-14T21:50:59.6366294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6366376Z x = self.forward_features(x) 2025-08-14T21:50:59.6366620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6366687Z x = self.blocks(x) 2025-08-14T21:50:59.6366929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:59.6367009Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:59.6367014Z 2025-08-14T21:50:59.6367120Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6367334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6367401Z return mod(*inputs) 2025-08-14T21:50:59.6367632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6367705Z x = self.forward_features(x) 2025-08-14T21:50:59.6367948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6368024Z x = self.blocks(x) 2025-08-14T21:50:59.6368260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6368326Z x = self.bn1(x) 2025-08-14T21:50:59.6368544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6368630Z x = self.act(x) 2025-08-14T21:50:59.6368634Z 2025-08-14T21:50:59.6368751Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6368960Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6369029Z return mod(*inputs) 2025-08-14T21:50:59.6369261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6369335Z x = self.forward_features(x) 2025-08-14T21:50:59.6369590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6369657Z x = self.blocks(x) 2025-08-14T21:50:59.6369910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:50:59.6369980Z x = self.bn1(x) 2025-08-14T21:50:59.6370190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6370254Z x = self.act(x) 2025-08-14T21:50:59.6370258Z 2025-08-14T21:50:59.6370371Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6370578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6370652Z return mod(*inputs) 2025-08-14T21:50:59.6370954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6371032Z x = self.forward_features(x) 2025-08-14T21:50:59.6371293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6371364Z x = self.blocks(x) 2025-08-14T21:50:59.6371616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6371716Z x = self.conv_dw(x) 2025-08-14T21:50:59.6371940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6372080Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6372316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6372429Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6372433Z 2025-08-14T21:50:59.6372552Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6372770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6372840Z return mod(*inputs) 2025-08-14T21:50:59.6373077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6373151Z x = self.forward_features(x) 2025-08-14T21:50:59.6373407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6373473Z x = self.blocks(x) 2025-08-14T21:50:59.6373718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6373793Z x = self.conv_dw(x) 2025-08-14T21:50:59.6374008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6374116Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6374351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6374457Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6374462Z 2025-08-14T21:50:59.6374574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6374780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6374869Z return mod(*inputs) 2025-08-14T21:50:59.6375102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6375175Z x = self.forward_features(x) 2025-08-14T21:50:59.6375427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6375491Z x = self.blocks(x) 2025-08-14T21:50:59.6375728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6375802Z x = self.conv_dw(x) 2025-08-14T21:50:59.6376015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6376142Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6376374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6376483Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6376486Z 2025-08-14T21:50:59.6376600Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6376804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6376871Z return mod(*inputs) 2025-08-14T21:50:59.6377097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6377168Z x = self.forward_features(x) 2025-08-14T21:50:59.6377419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6377483Z x = self.blocks(x) 2025-08-14T21:50:59.6377724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6377796Z x = self.conv_dw(x) 2025-08-14T21:50:59.6378033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6378154Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6378389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6378496Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6378499Z 2025-08-14T21:50:59.6378613Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6378821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6378890Z return mod(*inputs) 2025-08-14T21:50:59.6379117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6379192Z x = self.forward_features(x) 2025-08-14T21:50:59.6379437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6379512Z x = self.blocks(x) 2025-08-14T21:50:59.6379753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6379827Z x = self.conv_dw(x) 2025-08-14T21:50:59.6380040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6380145Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6380377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6380480Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6380485Z 2025-08-14T21:50:59.6380598Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6380804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6380893Z return mod(*inputs) 2025-08-14T21:50:59.6381123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6381197Z x = self.forward_features(x) 2025-08-14T21:50:59.6381438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6381512Z x = self.blocks(x) 2025-08-14T21:50:59.6381745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6381817Z x = self.conv_dw(x) 2025-08-14T21:50:59.6382030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6382164Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6382393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6382504Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6382508Z 2025-08-14T21:50:59.6382615Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6382831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6382898Z return mod(*inputs) 2025-08-14T21:50:59.6383123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6383197Z x = self.forward_features(x) 2025-08-14T21:50:59.6383447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6383519Z x = self.blocks(x) 2025-08-14T21:50:59.6383760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6383825Z x = self.conv_dw(x) 2025-08-14T21:50:59.6384068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6384189Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6384417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6384522Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6384526Z 2025-08-14T21:50:59.6384636Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6384840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6384902Z return mod(*inputs) 2025-08-14T21:50:59.6385116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6385187Z x = self.forward_features(x) 2025-08-14T21:50:59.6385435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6385508Z x = self.blocks(x) 2025-08-14T21:50:59.6385744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6385809Z x = self.conv_dw(x) 2025-08-14T21:50:59.6386034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6386134Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6386353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6386452Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6386457Z 2025-08-14T21:50:59.6386537Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6386623Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6386698Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6386796Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6386907Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6387103Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6387174Z return mod(*inputs) 2025-08-14T21:50:59.6387385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6387453Z x = self.forward_features(x) 2025-08-14T21:50:59.6387696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6387758Z x = self.blocks(x) 2025-08-14T21:50:59.6387990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:50:59.6388080Z x = self.conv_dw(x) 2025-08-14T21:50:59.6388285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6388360Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6388364Z 2025-08-14T21:50:59.6388442Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6388542Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6388744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6388808Z return mod(*inputs) 2025-08-14T21:50:59.6389021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6389098Z x = self.forward_features(x) 2025-08-14T21:50:59.6389331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6389401Z x = self.blocks(x) 2025-08-14T21:50:59.6389625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6389703Z x = self.se(x) 2025-08-14T21:50:59.6389937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:50:59.6399809Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:50:59.6399830Z 2025-08-14T21:50:59.6400009Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6400241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6400313Z return mod(*inputs) 2025-08-14T21:50:59.6400572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6400650Z x = self.forward_features(x) 2025-08-14T21:50:59.6400909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6400980Z x = self.blocks(x) 2025-08-14T21:50:59.6401219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6401293Z x = self.se(x) 2025-08-14T21:50:59.6401525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6401597Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6401601Z 2025-08-14T21:50:59.6401719Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6401921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6401997Z return mod(*inputs) 2025-08-14T21:50:59.6402210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6402293Z x = self.forward_features(x) 2025-08-14T21:50:59.6402532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6402593Z x = self.blocks(x) 2025-08-14T21:50:59.6402841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6402912Z x = self.se(x) 2025-08-14T21:50:59.6403136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:50:59.6403211Z x_se = self.act1(x_se) 2025-08-14T21:50:59.6403215Z 2025-08-14T21:50:59.6403320Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6403532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6403604Z return mod(*inputs) 2025-08-14T21:50:59.6403812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6403909Z x = self.forward_features(x) 2025-08-14T21:50:59.6404154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6404218Z x = self.blocks(x) 2025-08-14T21:50:59.6404449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6404511Z x = self.se(x) 2025-08-14T21:50:59.6404740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6404821Z return x * self.gate(x_se) 2025-08-14T21:50:59.6404825Z 2025-08-14T21:50:59.6404930Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6405144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6405210Z return mod(*inputs) 2025-08-14T21:50:59.6405441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6405526Z x = self.forward_features(x) 2025-08-14T21:50:59.6405776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6405873Z x = self.blocks(x) 2025-08-14T21:50:59.6406136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6406201Z x = self.se(x) 2025-08-14T21:50:59.6406442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6406514Z return x * self.gate(x_se) 2025-08-14T21:50:59.6406517Z 2025-08-14T21:50:59.6406624Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6406838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6406905Z return mod(*inputs) 2025-08-14T21:50:59.6407128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6407209Z x = self.forward_features(x) 2025-08-14T21:50:59.6407454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6407531Z x = self.blocks(x) 2025-08-14T21:50:59.6407771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:50:59.6407833Z x = self.se(x) 2025-08-14T21:50:59.6408071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:50:59.6408142Z return x * self.gate(x_se) 2025-08-14T21:50:59.6408145Z 2025-08-14T21:50:59.6408232Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6408347Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6408550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6408625Z return mod(*inputs) 2025-08-14T21:50:59.6408861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6408936Z x = self.forward_features(x) 2025-08-14T21:50:59.6409189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6409254Z x = self.blocks(x) 2025-08-14T21:50:59.6409489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6409567Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6409782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6409910Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6410140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6410273Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6410278Z 2025-08-14T21:50:59.6410395Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6410609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6410790Z return mod(*inputs) 2025-08-14T21:50:59.6411032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6411109Z x = self.forward_features(x) 2025-08-14T21:50:59.6411373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6411441Z x = self.blocks(x) 2025-08-14T21:50:59.6411687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6411774Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6412003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6412147Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6412384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6412488Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6412492Z 2025-08-14T21:50:59.6412583Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6412684Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6412885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6412959Z return mod(*inputs) 2025-08-14T21:50:59.6413167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6413246Z x = self.forward_features(x) 2025-08-14T21:50:59.6413477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6413541Z x = self.blocks(x) 2025-08-14T21:50:59.6413773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6413838Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6414053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6414169Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6414397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6414508Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6414512Z 2025-08-14T21:50:59.6414617Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6414828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6414903Z return mod(*inputs) 2025-08-14T21:50:59.6415153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6415236Z x = self.forward_features(x) 2025-08-14T21:50:59.6415486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6415554Z x = self.blocks(x) 2025-08-14T21:50:59.6415808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6415873Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6416079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:50:59.6416187Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6416430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:50:59.6416544Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:50:59.6416549Z 2025-08-14T21:50:59.6416636Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6416720Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6416835Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6417044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6417111Z return mod(*inputs) 2025-08-14T21:50:59.6417343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6417415Z x = self.forward_features(x) 2025-08-14T21:50:59.6417668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6417735Z x = self.blocks(x) 2025-08-14T21:50:59.6417971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:50:59.6418068Z x = self.conv_pwl(x) 2025-08-14T21:50:59.6418441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:50:59.6418563Z x = torch.cat(x_out, 1) 2025-08-14T21:50:59.6418567Z 2025-08-14T21:50:59.6418679Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6418885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6418956Z return mod(*inputs) 2025-08-14T21:50:59.6419159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6419227Z x = self.forward_features(x) 2025-08-14T21:50:59.6419469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:50:59.6419536Z x = self.blocks(x) 2025-08-14T21:50:59.6419771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:50:59.6419863Z x = self.drop_path(x) + shortcut 2025-08-14T21:50:59.6419867Z 2025-08-14T21:50:59.6419976Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6420191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6420258Z return mod(*inputs) 2025-08-14T21:50:59.6420481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6420563Z x = self.forward_features(x) 2025-08-14T21:50:59.6420813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-08-14T21:50:59.6420887Z x = self.bn2(x) 2025-08-14T21:50:59.6421101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6421176Z x = self.act(x) 2025-08-14T21:50:59.6421182Z 2025-08-14T21:50:59.6421315Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6421533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6421601Z return mod(*inputs) 2025-08-14T21:50:59.6421822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:50:59.6421900Z x = self.forward_features(x) 2025-08-14T21:50:59.6422148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-08-14T21:50:59.6422211Z x = self.bn2(x) 2025-08-14T21:50:59.6422431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:50:59.6422494Z x = self.act(x) 2025-08-14T21:50:59.6422526Z 2025-08-14T21:50:59.6422619Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6422725Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:50:59.6422939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:50:59.6423016Z return mod(*inputs) 2025-08-14T21:50:59.6423239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T21:50:59.6423311Z x = self.forward_head(x) 2025-08-14T21:50:59.6423556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-08-14T21:50:59.6423631Z x = self.global_pool(x) 2025-08-14T21:50:59.6423882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-14T21:50:59.6423948Z x = self.pool(x) 2025-08-14T21:50:59.6423951Z 2025-08-14T21:50:59.6424035Z cudagraph partition due to non gpu ops 2025-08-14T21:50:59.6424125Z cudagraph partition due to non gpu ops 2025-08-14T21:51:13.6086006Z Compilation time (from dynamo_timed): 31.341808218 2025-08-14T21:51:13.6086632Z pass 2025-08-14T21:51:13.6086950Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:51:13.6087929Z TIMING: _recursive_pre_grad_passes:0.06358 _recursive_joint_graph_passes:0.51673 _recursive_post_grad_passes:0.08927 async_compile.wait:0.47184 code_gen:12.50463 inductor_compile:15.29588 backend_compile:24.57091 gc:0.00031 entire_frame_compile:31.34181 total_wall_time:31.34181 2025-08-14T21:51:13.6089064Z STATS: call_* op count: 551 | FakeTensorMode.__torch_dispatch__:38996 | FakeTensor.__torch_dispatch__:6348 | ProxyTorchDispatchMode.__torch_dispatch__:7472 2025-08-14T21:51:13.6089625Z Dynamo produced 1 graphs covering 551 ops with 0 graph breaks (0 unique) 2025-08-14T21:51:18.7437561Z 2025-08-14T21:51:18.8737832Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:51:18.8738169Z 2025-08-14T21:51:18.9437560Z model.safetensors: 0% 0.00/25.0M [00:00 B,H,W,C 2025-08-14T21:54:21.9798327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:54:21.9798675Z x = self.conv(x) 2025-08-14T21:54:21.9798782Z 2025-08-14T21:54:21.9798897Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9799282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9799646Z return mod(*inputs) 2025-08-14T21:54:21.9799951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9800284Z x = self.forward_features(x) 2025-08-14T21:54:21.9800649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:54:21.9801075Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:54:21.9801467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:54:21.9801836Z x = self.conv(x) 2025-08-14T21:54:21.9801945Z 2025-08-14T21:54:21.9802066Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9802452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9802796Z return mod(*inputs) 2025-08-14T21:54:21.9803110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9803455Z x = self.forward_features(x) 2025-08-14T21:54:21.9803812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:54:21.9804237Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:54:21.9804618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:54:21.9804957Z x = self.conv(x) 2025-08-14T21:54:21.9805065Z 2025-08-14T21:54:21.9805178Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9805568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9805929Z return mod(*inputs) 2025-08-14T21:54:21.9806262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9806609Z x = self.forward_features(x) 2025-08-14T21:54:21.9806992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:54:21.9807442Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:54:21.9807819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:54:21.9808168Z x = self.conv(x) 2025-08-14T21:54:21.9808271Z 2025-08-14T21:54:21.9808392Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9808801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9809162Z return mod(*inputs) 2025-08-14T21:54:21.9809482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9809830Z x = self.forward_features(x) 2025-08-14T21:54:21.9810196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:54:21.9810617Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:54:21.9811182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:54:21.9811518Z x = self.conv(x) 2025-08-14T21:54:21.9811637Z 2025-08-14T21:54:21.9811751Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9812161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9812521Z return mod(*inputs) 2025-08-14T21:54:21.9812834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9813186Z x = self.forward_features(x) 2025-08-14T21:54:21.9813556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:54:21.9813977Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:54:21.9814366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:54:21.9814708Z x = self.conv(x) 2025-08-14T21:54:21.9814817Z 2025-08-14T21:54:21.9814938Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9815323Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9815696Z return mod(*inputs) 2025-08-14T21:54:21.9816015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9816399Z x = self.forward_features(x) 2025-08-14T21:54:21.9816760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:54:21.9817194Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:54:21.9817582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 368, in forward 2025-08-14T21:54:21.9817931Z x = self.proj(x) # B, C, H, W 2025-08-14T21:54:21.9818077Z 2025-08-14T21:54:21.9818189Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9818762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9819129Z return mod(*inputs) 2025-08-14T21:54:21.9819440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9819784Z x = self.forward_features(x) 2025-08-14T21:54:21.9820148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:54:21.9820564Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:54:21.9821022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 368, in forward 2025-08-14T21:54:21.9821390Z x = self.proj(x) # B, C, H, W 2025-08-14T21:54:21.9821526Z 2025-08-14T21:54:21.9821676Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9822139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9822493Z return mod(*inputs) 2025-08-14T21:54:21.9822818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9823146Z x = self.forward_features(x) 2025-08-14T21:54:21.9823505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9823880Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9824234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9824586Z x = block(x) 2025-08-14T21:54:21.9824894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9825263Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9825622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:54:21.9826026Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:54:21.9826220Z 2025-08-14T21:54:21.9826311Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9826548Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9826806Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9827200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9827549Z return mod(*inputs) 2025-08-14T21:54:21.9827851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9828195Z x = self.forward_features(x) 2025-08-14T21:54:21.9828548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9828922Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9829268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9829625Z x = block(x) 2025-08-14T21:54:21.9829932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9830292Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9830656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T21:54:21.9831018Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T21:54:21.9831213Z 2025-08-14T21:54:21.9831333Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9831727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9832083Z return mod(*inputs) 2025-08-14T21:54:21.9832397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9832740Z x = self.forward_features(x) 2025-08-14T21:54:21.9833114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9833492Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9833855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9834210Z x = block(x) 2025-08-14T21:54:21.9834519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9834897Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9835260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:21.9835722Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:21.9835958Z 2025-08-14T21:54:21.9836087Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9836478Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9836860Z return mod(*inputs) 2025-08-14T21:54:21.9837172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9837511Z x = self.forward_features(x) 2025-08-14T21:54:21.9837874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9838247Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9838606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9838975Z x = block(x) 2025-08-14T21:54:21.9839271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9839645Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9840007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:21.9840433Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:21.9840658Z 2025-08-14T21:54:21.9840772Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9841162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9841514Z return mod(*inputs) 2025-08-14T21:54:21.9841825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9842170Z x = self.forward_features(x) 2025-08-14T21:54:21.9842536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9842914Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9843265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9843624Z x = block(x) 2025-08-14T21:54:21.9843926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9844281Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9844644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:21.9845073Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:21.9845294Z 2025-08-14T21:54:21.9845414Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9845648Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9845906Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9846299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9846676Z return mod(*inputs) 2025-08-14T21:54:21.9846996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9847344Z x = self.forward_features(x) 2025-08-14T21:54:21.9847735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9848101Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9848461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9848839Z x = block(x) 2025-08-14T21:54:21.9849134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9849506Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9849891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:54:21.9850293Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:54:21.9850437Z 2025-08-14T21:54:21.9850570Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9851098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9851503Z return mod(*inputs) 2025-08-14T21:54:21.9851811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9852172Z x = self.forward_features(x) 2025-08-14T21:54:21.9852535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9852933Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9853280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9853652Z x = block(x) 2025-08-14T21:54:21.9853971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9854341Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9854703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:54:21.9855081Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:54:21.9855226Z 2025-08-14T21:54:21.9855571Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9855827Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9856216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9856599Z return mod(*inputs) 2025-08-14T21:54:21.9856906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9857250Z x = self.forward_features(x) 2025-08-14T21:54:21.9857612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9857988Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9858341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9858699Z x = block(x) 2025-08-14T21:54:21.9859010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:54:21.9859365Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:21.9859755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:21.9860090Z x = self.act(x) 2025-08-14T21:54:21.9860193Z 2025-08-14T21:54:21.9860286Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9860564Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9860963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9861322Z return mod(*inputs) 2025-08-14T21:54:21.9861640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9861993Z x = self.forward_features(x) 2025-08-14T21:54:21.9862369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9862748Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9863101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9863461Z x = block(x) 2025-08-14T21:54:21.9863768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9864134Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9864506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:54:21.9864901Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:54:21.9865106Z 2025-08-14T21:54:21.9865200Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9865447Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9865704Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9866118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9866461Z return mod(*inputs) 2025-08-14T21:54:21.9866777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9867114Z x = self.forward_features(x) 2025-08-14T21:54:21.9867476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9867931Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9868378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9868816Z x = block(x) 2025-08-14T21:54:21.9869419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9869871Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9870335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T21:54:21.9870788Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T21:54:21.9871010Z 2025-08-14T21:54:21.9871147Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9871596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9872069Z return mod(*inputs) 2025-08-14T21:54:21.9872433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9872852Z x = self.forward_features(x) 2025-08-14T21:54:21.9873323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9873742Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9874165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9874632Z x = block(x) 2025-08-14T21:54:21.9875032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9886751Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9887327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:21.9887797Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:21.9888030Z 2025-08-14T21:54:21.9888298Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9888715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9889086Z return mod(*inputs) 2025-08-14T21:54:21.9889425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9889788Z x = self.forward_features(x) 2025-08-14T21:54:21.9890157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9890546Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9891013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9891366Z x = block(x) 2025-08-14T21:54:21.9891673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9892051Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9892422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:21.9892842Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:21.9893119Z 2025-08-14T21:54:21.9893235Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9893667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9894026Z return mod(*inputs) 2025-08-14T21:54:21.9894383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9894730Z x = self.forward_features(x) 2025-08-14T21:54:21.9895094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9895458Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9895811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9896166Z x = block(x) 2025-08-14T21:54:21.9896464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9896836Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9897202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:21.9897623Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:21.9897841Z 2025-08-14T21:54:21.9897934Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9898173Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9898435Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9898816Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9899165Z return mod(*inputs) 2025-08-14T21:54:21.9899488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9899833Z x = self.forward_features(x) 2025-08-14T21:54:21.9900192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9900561Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9900921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9901265Z x = block(x) 2025-08-14T21:54:21.9901569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9901932Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9902301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:54:21.9902633Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:54:21.9902782Z 2025-08-14T21:54:21.9902915Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9903303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9903635Z return mod(*inputs) 2025-08-14T21:54:21.9903943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9904287Z x = self.forward_features(x) 2025-08-14T21:54:21.9904653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9905028Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9905383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9905739Z x = block(x) 2025-08-14T21:54:21.9906044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9906399Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9906754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:54:21.9907097Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:54:21.9907259Z 2025-08-14T21:54:21.9907343Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9907602Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9908010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9908347Z return mod(*inputs) 2025-08-14T21:54:21.9908682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9909017Z x = self.forward_features(x) 2025-08-14T21:54:21.9909371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9909734Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9910078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9910429Z x = block(x) 2025-08-14T21:54:21.9910712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:54:21.9911071Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:21.9911421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:21.9911756Z x = self.act(x) 2025-08-14T21:54:21.9911865Z 2025-08-14T21:54:21.9911949Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9912201Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9912570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9912907Z return mod(*inputs) 2025-08-14T21:54:21.9913209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9913537Z x = self.forward_features(x) 2025-08-14T21:54:21.9913893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9914257Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9914604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9914949Z x = block(x) 2025-08-14T21:54:21.9915248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9915612Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9915965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:54:21.9916355Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:54:21.9916543Z 2025-08-14T21:54:21.9916629Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9916859Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9917130Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9917517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9917868Z return mod(*inputs) 2025-08-14T21:54:21.9918182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9918710Z x = self.forward_features(x) 2025-08-14T21:54:21.9919078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9919442Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9919782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9920141Z x = block(x) 2025-08-14T21:54:21.9920454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9920803Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9921160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T21:54:21.9921593Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T21:54:21.9921751Z 2025-08-14T21:54:21.9921869Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9922287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9922644Z return mod(*inputs) 2025-08-14T21:54:21.9922994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9923330Z x = self.forward_features(x) 2025-08-14T21:54:21.9923697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9924064Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9924415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9924761Z x = block(x) 2025-08-14T21:54:21.9925063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9925430Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9925782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:21.9926206Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:21.9926433Z 2025-08-14T21:54:21.9926545Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9926934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9927274Z return mod(*inputs) 2025-08-14T21:54:21.9927588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9927936Z x = self.forward_features(x) 2025-08-14T21:54:21.9928295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9928664Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9929011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9929364Z x = block(x) 2025-08-14T21:54:21.9929651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9930011Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9930367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:21.9930844Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:21.9931080Z 2025-08-14T21:54:21.9931196Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9931628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9931983Z return mod(*inputs) 2025-08-14T21:54:21.9932291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9932640Z x = self.forward_features(x) 2025-08-14T21:54:21.9933009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9933380Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9933723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9934079Z x = block(x) 2025-08-14T21:54:21.9934383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9934737Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9935096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:21.9935520Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:21.9935761Z 2025-08-14T21:54:21.9935856Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9936082Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9936373Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9936763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9937124Z return mod(*inputs) 2025-08-14T21:54:21.9937433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9937766Z x = self.forward_features(x) 2025-08-14T21:54:21.9938118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9938467Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9938807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9939148Z x = block(x) 2025-08-14T21:54:21.9939434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9939783Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9940131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:54:21.9940465Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:54:21.9940603Z 2025-08-14T21:54:21.9940711Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9941085Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9941424Z return mod(*inputs) 2025-08-14T21:54:21.9941719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9942054Z x = self.forward_features(x) 2025-08-14T21:54:21.9942404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9942762Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9943093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9943430Z x = block(x) 2025-08-14T21:54:21.9943717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9944058Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9944401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:54:21.9944733Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:54:21.9944870Z 2025-08-14T21:54:21.9944960Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9945202Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9945596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9945937Z return mod(*inputs) 2025-08-14T21:54:21.9946236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9946566Z x = self.forward_features(x) 2025-08-14T21:54:21.9946918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9947276Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9947607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9947950Z x = block(x) 2025-08-14T21:54:21.9948239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:54:21.9948588Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:21.9948944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:21.9949271Z x = self.act(x) 2025-08-14T21:54:21.9949373Z 2025-08-14T21:54:21.9949464Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9949727Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9950121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9950466Z return mod(*inputs) 2025-08-14T21:54:21.9950782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9951119Z x = self.forward_features(x) 2025-08-14T21:54:21.9951474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9951815Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9952138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9952454Z x = block(x) 2025-08-14T21:54:21.9952729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9953065Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9953396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:54:21.9953750Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:54:21.9953927Z 2025-08-14T21:54:21.9954006Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9954220Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9954451Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9954811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9955138Z return mod(*inputs) 2025-08-14T21:54:21.9955432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9955760Z x = self.forward_features(x) 2025-08-14T21:54:21.9956121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9956484Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9956819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9957160Z x = block(x) 2025-08-14T21:54:21.9957463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9957792Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9958125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T21:54:21.9958457Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T21:54:21.9958600Z 2025-08-14T21:54:21.9958712Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9959081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9959439Z return mod(*inputs) 2025-08-14T21:54:21.9959742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9960073Z x = self.forward_features(x) 2025-08-14T21:54:21.9960418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9960772Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9961107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9961438Z x = block(x) 2025-08-14T21:54:21.9961729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9962082Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9962427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:21.9962835Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:21.9963077Z 2025-08-14T21:54:21.9963184Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9963591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9963925Z return mod(*inputs) 2025-08-14T21:54:21.9964238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9964599Z x = self.forward_features(x) 2025-08-14T21:54:21.9964950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9965318Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9965655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9965998Z x = block(x) 2025-08-14T21:54:21.9966281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9966633Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9966985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:21.9967391Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:21.9967598Z 2025-08-14T21:54:21.9967707Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9968083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9968419Z return mod(*inputs) 2025-08-14T21:54:21.9968713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9969040Z x = self.forward_features(x) 2025-08-14T21:54:21.9969387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9969745Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9970082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9970436Z x = block(x) 2025-08-14T21:54:21.9970836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9971202Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9971564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:54:21.9971997Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:54:21.9972221Z 2025-08-14T21:54:21.9972315Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9972537Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9972790Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9973198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9973545Z return mod(*inputs) 2025-08-14T21:54:21.9973852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9974192Z x = self.forward_features(x) 2025-08-14T21:54:21.9974550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9974909Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9975261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9975617Z x = block(x) 2025-08-14T21:54:21.9975905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9976266Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9976631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:54:21.9976974Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:54:21.9977133Z 2025-08-14T21:54:21.9977241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9977643Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9977994Z return mod(*inputs) 2025-08-14T21:54:21.9978305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9978643Z x = self.forward_features(x) 2025-08-14T21:54:21.9979002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9979371Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9979715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9980067Z x = block(x) 2025-08-14T21:54:21.9980360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:54:21.9980705Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:21.9981058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:54:21.9981399Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:54:21.9981536Z 2025-08-14T21:54:21.9981626Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9981871Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9982253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9982592Z return mod(*inputs) 2025-08-14T21:54:21.9982895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9983228Z x = self.forward_features(x) 2025-08-14T21:54:21.9983576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9983935Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9984270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9984604Z x = block(x) 2025-08-14T21:54:21.9984899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:54:21.9985249Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:21.9985607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:21.9985929Z x = self.act(x) 2025-08-14T21:54:21.9986029Z 2025-08-14T21:54:21.9986120Z cudagraph partition due to non gpu ops 2025-08-14T21:54:21.9986365Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9986745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9987110Z return mod(*inputs) 2025-08-14T21:54:21.9987405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9987739Z x = self.forward_features(x) 2025-08-14T21:54:21.9988090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9988445Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9988775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9989116Z x = block(x) 2025-08-14T21:54:21.9989406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:54:21.9989750Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:21.9989909Z 2025-08-14T21:54:21.9990017Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9990387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9990725Z return mod(*inputs) 2025-08-14T21:54:21.9991021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9991392Z x = self.forward_features(x) 2025-08-14T21:54:21.9991763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9992111Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9992472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9992812Z x = block(x) 2025-08-14T21:54:21.9993102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 382, in forward 2025-08-14T21:54:21.9993428Z x = self.proj(x) # B, C, H, W 2025-08-14T21:54:21.9993567Z 2025-08-14T21:54:21.9993674Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9994060Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9994394Z return mod(*inputs) 2025-08-14T21:54:21.9994700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9995031Z x = self.forward_features(x) 2025-08-14T21:54:21.9995383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9995734Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9996057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9996378Z x = block(x) 2025-08-14T21:54:21.9996647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 382, in forward 2025-08-14T21:54:21.9996962Z x = self.proj(x) # B, C, H, W 2025-08-14T21:54:21.9997091Z 2025-08-14T21:54:21.9997193Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:21.9997549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:21.9997862Z return mod(*inputs) 2025-08-14T21:54:21.9998147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:21.9998462Z x = self.forward_features(x) 2025-08-14T21:54:21.9998786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:21.9999132Z x = self.forward_tokens(x) 2025-08-14T21:54:21.9999452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:21.9999774Z x = block(x) 2025-08-14T21:54:22.0000052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0000408Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0000833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:54:22.0001261Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:54:22.0001501Z 2025-08-14T21:54:22.0001586Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0001812Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0002039Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0002237Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0002476Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0002859Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0003194Z return mod(*inputs) 2025-08-14T21:54:22.0003508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0003842Z x = self.forward_features(x) 2025-08-14T21:54:22.0004197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0004548Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0004910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0005246Z x = block(x) 2025-08-14T21:54:22.0005540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0005893Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0006260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:22.0006600Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:22.0006740Z 2025-08-14T21:54:22.0006822Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0007042Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0007286Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0007660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0008003Z return mod(*inputs) 2025-08-14T21:54:22.0008307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0008640Z x = self.forward_features(x) 2025-08-14T21:54:22.0008987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0009345Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0009687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0010021Z x = block(x) 2025-08-14T21:54:22.0010312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:54:22.0010741Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:22.0011118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:22.0011449Z x = self.act(x) 2025-08-14T21:54:22.0011559Z 2025-08-14T21:54:22.0011644Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0011905Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0012297Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0012639Z return mod(*inputs) 2025-08-14T21:54:22.0012952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0013301Z x = self.forward_features(x) 2025-08-14T21:54:22.0013655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0014023Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0014379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0014767Z x = block(x) 2025-08-14T21:54:22.0015070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:54:22.0015441Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:22.0015599Z 2025-08-14T21:54:22.0015717Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0016101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0016452Z return mod(*inputs) 2025-08-14T21:54:22.0016773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0017113Z x = self.forward_features(x) 2025-08-14T21:54:22.0017481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0017866Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0018440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0018809Z x = block(x) 2025-08-14T21:54:22.0019120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0019563Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0019946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:54:22.0020384Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:54:22.0020658Z 2025-08-14T21:54:22.0020747Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0020982Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0021201Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0021421Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0021672Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0022065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0022417Z return mod(*inputs) 2025-08-14T21:54:22.0022732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0023068Z x = self.forward_features(x) 2025-08-14T21:54:22.0023430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0023799Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0024151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0024495Z x = block(x) 2025-08-14T21:54:22.0024793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0025157Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0025509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:22.0025865Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:22.0026013Z 2025-08-14T21:54:22.0026095Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0026316Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0026554Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0026932Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0027275Z return mod(*inputs) 2025-08-14T21:54:22.0027574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0027908Z x = self.forward_features(x) 2025-08-14T21:54:22.0028257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0028615Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0028948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0029323Z x = block(x) 2025-08-14T21:54:22.0029611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:54:22.0029958Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:22.0030311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:22.0030631Z x = self.act(x) 2025-08-14T21:54:22.0030730Z 2025-08-14T21:54:22.0030817Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0031060Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0031436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0031775Z return mod(*inputs) 2025-08-14T21:54:22.0032071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0032403Z x = self.forward_features(x) 2025-08-14T21:54:22.0032754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0033120Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0033491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0033842Z x = block(x) 2025-08-14T21:54:22.0034153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0034511Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0034883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:54:22.0035320Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:54:22.0035543Z 2025-08-14T21:54:22.0035632Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0035845Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0036064Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0036279Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0036513Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0036891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0037245Z return mod(*inputs) 2025-08-14T21:54:22.0037560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0037886Z x = self.forward_features(x) 2025-08-14T21:54:22.0038245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0038616Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0038956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0039317Z x = block(x) 2025-08-14T21:54:22.0039618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0039986Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0040343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:22.0040682Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:22.0040820Z 2025-08-14T21:54:22.0040913Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0041125Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0041372Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0041753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0042085Z return mod(*inputs) 2025-08-14T21:54:22.0042392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0042726Z x = self.forward_features(x) 2025-08-14T21:54:22.0043075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0043467Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0043810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0044158Z x = block(x) 2025-08-14T21:54:22.0044450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:54:22.0044802Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:22.0045153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:22.0045475Z x = self.act(x) 2025-08-14T21:54:22.0045575Z 2025-08-14T21:54:22.0045658Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0045914Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0046303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0046653Z return mod(*inputs) 2025-08-14T21:54:22.0046969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0047336Z x = self.forward_features(x) 2025-08-14T21:54:22.0047700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0048099Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0048457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0048846Z x = block(x) 2025-08-14T21:54:22.0049148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0049521Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0049886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:54:22.0050331Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:54:22.0050566Z 2025-08-14T21:54:22.0050731Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0050981Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0051206Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0051422Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0051678Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0052077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0052429Z return mod(*inputs) 2025-08-14T21:54:22.0052741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0053088Z x = self.forward_features(x) 2025-08-14T21:54:22.0053452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0053816Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0054175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0054526Z x = block(x) 2025-08-14T21:54:22.0054827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0055188Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0055555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:22.0055907Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:22.0056051Z 2025-08-14T21:54:22.0056134Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0056364Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0056622Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0057017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0057392Z return mod(*inputs) 2025-08-14T21:54:22.0057708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0058050Z x = self.forward_features(x) 2025-08-14T21:54:22.0058408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0058780Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0059128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0059483Z x = block(x) 2025-08-14T21:54:22.0059776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:54:22.0060141Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:22.0060499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:22.0060823Z x = self.act(x) 2025-08-14T21:54:22.0060932Z 2025-08-14T21:54:22.0061030Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0061276Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0061653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0062012Z return mod(*inputs) 2025-08-14T21:54:22.0062340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0062676Z x = self.forward_features(x) 2025-08-14T21:54:22.0063067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0063433Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0063774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0064112Z x = block(x) 2025-08-14T21:54:22.0064406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0064765Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0065120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:54:22.0065536Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:54:22.0065768Z 2025-08-14T21:54:22.0065853Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0066081Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0066302Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0066513Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0066752Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0067127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0067457Z return mod(*inputs) 2025-08-14T21:54:22.0067764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0068101Z x = self.forward_features(x) 2025-08-14T21:54:22.0068444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0068809Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0069150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0069493Z x = block(x) 2025-08-14T21:54:22.0069779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0070135Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0070487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:22.0070822Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:22.0070970Z 2025-08-14T21:54:22.0071051Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0071268Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0071544Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0071914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0072255Z return mod(*inputs) 2025-08-14T21:54:22.0072566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0072898Z x = self.forward_features(x) 2025-08-14T21:54:22.0073254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0073617Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0073940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0074259Z x = block(x) 2025-08-14T21:54:22.0074535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:54:22.0074869Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:22.0075202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:22.0075528Z x = self.act(x) 2025-08-14T21:54:22.0075630Z 2025-08-14T21:54:22.0075708Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0075960Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0076329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0076670Z return mod(*inputs) 2025-08-14T21:54:22.0076992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0077319Z x = self.forward_features(x) 2025-08-14T21:54:22.0077685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0078055Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0078407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0078748Z x = block(x) 2025-08-14T21:54:22.0079024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0079363Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0079689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:54:22.0080091Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:54:22.0080306Z 2025-08-14T21:54:22.0080383Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0080590Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0080789Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0080991Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0081219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0081568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0081890Z return mod(*inputs) 2025-08-14T21:54:22.0082180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0082493Z x = self.forward_features(x) 2025-08-14T21:54:22.0082823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0083173Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0083524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0083870Z x = block(x) 2025-08-14T21:54:22.0084158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0084512Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0084862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:22.0085235Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:22.0085386Z 2025-08-14T21:54:22.0085471Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0085698Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0085945Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0086334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0086694Z return mod(*inputs) 2025-08-14T21:54:22.0087003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0087344Z x = self.forward_features(x) 2025-08-14T21:54:22.0087708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0088090Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0088435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0088794Z x = block(x) 2025-08-14T21:54:22.0089092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:54:22.0089475Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:22.0089857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:22.0090191Z x = self.act(x) 2025-08-14T21:54:22.0090292Z 2025-08-14T21:54:22.0090412Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0090746Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0091153Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0091506Z return mod(*inputs) 2025-08-14T21:54:22.0091812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0092166Z x = self.forward_features(x) 2025-08-14T21:54:22.0092528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0092902Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0093242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0093595Z x = block(x) 2025-08-14T21:54:22.0093896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0094252Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0094611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:54:22.0095044Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:54:22.0095273Z 2025-08-14T21:54:22.0095365Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0095583Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0095807Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0096027Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0096268Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0096646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0096993Z return mod(*inputs) 2025-08-14T21:54:22.0097305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0097640Z x = self.forward_features(x) 2025-08-14T21:54:22.0098005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0098374Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0098713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0099064Z x = block(x) 2025-08-14T21:54:22.0099394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0099757Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0100111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:22.0100459Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:22.0100605Z 2025-08-14T21:54:22.0100703Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0100923Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0101177Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0101570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0101919Z return mod(*inputs) 2025-08-14T21:54:22.0102228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0102561Z x = self.forward_features(x) 2025-08-14T21:54:22.0102916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0103272Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0103664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0104009Z x = block(x) 2025-08-14T21:54:22.0104309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:54:22.0104675Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:22.0105049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:22.0105371Z x = self.act(x) 2025-08-14T21:54:22.0105471Z 2025-08-14T21:54:22.0105551Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0105796Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0106172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0106507Z return mod(*inputs) 2025-08-14T21:54:22.0106806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0107139Z x = self.forward_features(x) 2025-08-14T21:54:22.0107486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0107835Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0108174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0108516Z x = block(x) 2025-08-14T21:54:22.0108802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0109154Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0109500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:54:22.0109918Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:54:22.0110137Z 2025-08-14T21:54:22.0110226Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0110449Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0110667Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0110873Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0111118Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0111493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0111827Z return mod(*inputs) 2025-08-14T21:54:22.0112121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0112452Z x = self.forward_features(x) 2025-08-14T21:54:22.0112803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0113180Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0113521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0113865Z x = block(x) 2025-08-14T21:54:22.0114152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0114497Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0114848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:22.0115181Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:22.0115321Z 2025-08-14T21:54:22.0115401Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0115622Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0115866Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0116246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0116580Z return mod(*inputs) 2025-08-14T21:54:22.0116882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0117238Z x = self.forward_features(x) 2025-08-14T21:54:22.0117608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0117979Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0119415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0119792Z x = block(x) 2025-08-14T21:54:22.0120081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:54:22.0120584Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:22.0120940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:22.0121266Z x = self.act(x) 2025-08-14T21:54:22.0121377Z 2025-08-14T21:54:22.0121459Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0121713Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0122100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0122440Z return mod(*inputs) 2025-08-14T21:54:22.0122750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0123091Z x = self.forward_features(x) 2025-08-14T21:54:22.0123441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0123801Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0124145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0124485Z x = block(x) 2025-08-14T21:54:22.0124767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0125128Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0125488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:54:22.0125925Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:54:22.0126161Z 2025-08-14T21:54:22.0126246Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0126476Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0126703Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0126918Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0127173Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0127557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0127900Z return mod(*inputs) 2025-08-14T21:54:22.0128217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0128607Z x = self.forward_features(x) 2025-08-14T21:54:22.0128967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0129338Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0129683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0130029Z x = block(x) 2025-08-14T21:54:22.0130319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0130737Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0131110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:22.0131451Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:22.0131602Z 2025-08-14T21:54:22.0131685Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0131914Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0132168Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0132586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0132667Z return mod(*inputs) 2025-08-14T21:54:22.0132890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0132966Z x = self.forward_features(x) 2025-08-14T21:54:22.0133223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0133299Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0133523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0133586Z x = block(x) 2025-08-14T21:54:22.0133776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:54:22.0133883Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:22.0134075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:22.0134141Z x = self.act(x) 2025-08-14T21:54:22.0134145Z 2025-08-14T21:54:22.0134234Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0134344Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0134563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0134635Z return mod(*inputs) 2025-08-14T21:54:22.0134826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0134908Z x = self.forward_features(x) 2025-08-14T21:54:22.0135130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0135202Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0135426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0135489Z x = block(x) 2025-08-14T21:54:22.0135686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0135782Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0135972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:54:22.0136145Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:54:22.0136149Z 2025-08-14T21:54:22.0136231Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0136327Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0136405Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0136483Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0136596Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0136830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0136900Z return mod(*inputs) 2025-08-14T21:54:22.0137106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0137179Z x = self.forward_features(x) 2025-08-14T21:54:22.0137402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0137482Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0137698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0137766Z x = block(x) 2025-08-14T21:54:22.0137959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0138052Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0138252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:22.0138332Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:22.0138352Z 2025-08-14T21:54:22.0138442Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0138524Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0138662Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0138879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0138964Z return mod(*inputs) 2025-08-14T21:54:22.0139159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0139237Z x = self.forward_features(x) 2025-08-14T21:54:22.0139472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0139543Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0139765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0139825Z x = block(x) 2025-08-14T21:54:22.0140026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:54:22.0140119Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:22.0140324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:22.0140397Z x = self.act(x) 2025-08-14T21:54:22.0140400Z 2025-08-14T21:54:22.0140482Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0140588Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0140801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0140868Z return mod(*inputs) 2025-08-14T21:54:22.0141064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0141138Z x = self.forward_features(x) 2025-08-14T21:54:22.0141367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0141446Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0141675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0141735Z x = block(x) 2025-08-14T21:54:22.0141931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0142024Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0142216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:54:22.0142376Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:54:22.0142379Z 2025-08-14T21:54:22.0142460Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0142567Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0142645Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0142729Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0142836Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0143044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0143118Z return mod(*inputs) 2025-08-14T21:54:22.0143312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0143383Z x = self.forward_features(x) 2025-08-14T21:54:22.0143609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0143678Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0143908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0143971Z x = block(x) 2025-08-14T21:54:22.0144160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0144285Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0144474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:22.0144570Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:22.0144575Z 2025-08-14T21:54:22.0144663Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0144762Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0144876Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0145083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0145151Z return mod(*inputs) 2025-08-14T21:54:22.0145351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0145425Z x = self.forward_features(x) 2025-08-14T21:54:22.0145657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0145739Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0145970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0146040Z x = block(x) 2025-08-14T21:54:22.0146231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:54:22.0146327Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:22.0146525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:22.0146590Z x = self.act(x) 2025-08-14T21:54:22.0146594Z 2025-08-14T21:54:22.0146673Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0146786Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0146990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0147064Z return mod(*inputs) 2025-08-14T21:54:22.0147255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0147328Z x = self.forward_features(x) 2025-08-14T21:54:22.0147563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0147637Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0147863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0147935Z x = block(x) 2025-08-14T21:54:22.0148132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0148241Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0148430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:54:22.0148617Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:54:22.0148623Z 2025-08-14T21:54:22.0148711Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0148792Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0148873Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0148959Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0149065Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0149281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0149350Z return mod(*inputs) 2025-08-14T21:54:22.0149543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0149622Z x = self.forward_features(x) 2025-08-14T21:54:22.0149845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0149919Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0150140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0150220Z x = block(x) 2025-08-14T21:54:22.0150438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0150534Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0150742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:22.0150832Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:22.0150836Z 2025-08-14T21:54:22.0150916Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0150995Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0151110Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0151318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0151394Z return mod(*inputs) 2025-08-14T21:54:22.0151585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0151658Z x = self.forward_features(x) 2025-08-14T21:54:22.0151889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0151960Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0152177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0152246Z x = block(x) 2025-08-14T21:54:22.0152438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:54:22.0152538Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:22.0152729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:22.0152794Z x = self.act(x) 2025-08-14T21:54:22.0152797Z 2025-08-14T21:54:22.0152883Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0152990Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0153193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0153269Z return mod(*inputs) 2025-08-14T21:54:22.0153462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0153539Z x = self.forward_features(x) 2025-08-14T21:54:22.0153760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0153830Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0154053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0154113Z x = block(x) 2025-08-14T21:54:22.0154327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0154429Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0154621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:54:22.0154791Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:54:22.0154795Z 2025-08-14T21:54:22.0154877Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0154959Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0155044Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0155121Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0155226Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0155436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0155505Z return mod(*inputs) 2025-08-14T21:54:22.0155704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0155777Z x = self.forward_features(x) 2025-08-14T21:54:22.0156016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0156093Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0156326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0156389Z x = block(x) 2025-08-14T21:54:22.0156605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0156699Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0156894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:22.0156974Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:22.0156977Z 2025-08-14T21:54:22.0157058Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0157145Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0157251Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0157460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0157534Z return mod(*inputs) 2025-08-14T21:54:22.0157725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0157804Z x = self.forward_features(x) 2025-08-14T21:54:22.0158026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0158097Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0158319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0158379Z x = block(x) 2025-08-14T21:54:22.0158571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:54:22.0158675Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:22.0158865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:22.0158938Z x = self.act(x) 2025-08-14T21:54:22.0158942Z 2025-08-14T21:54:22.0159024Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0159129Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0159342Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0159410Z return mod(*inputs) 2025-08-14T21:54:22.0159600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0159678Z x = self.forward_features(x) 2025-08-14T21:54:22.0159899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0160001Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0160222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0160284Z x = block(x) 2025-08-14T21:54:22.0160486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0160580Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0160774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:54:22.0160944Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:54:22.0160948Z 2025-08-14T21:54:22.0161028Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0161115Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0161194Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0161273Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0161388Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0161599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0161696Z return mod(*inputs) 2025-08-14T21:54:22.0161898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0161986Z x = self.forward_features(x) 2025-08-14T21:54:22.0162234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0162307Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0162527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0162597Z x = block(x) 2025-08-14T21:54:22.0162796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:54:22.0162891Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0163098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:54:22.0163181Z x = F.scaled_dot_product_attention( 2025-08-14T21:54:22.0163185Z 2025-08-14T21:54:22.0163274Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0163355Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0163464Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0163684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0163755Z return mod(*inputs) 2025-08-14T21:54:22.0163952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0164034Z x = self.forward_features(x) 2025-08-14T21:54:22.0164264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:54:22.0164346Z x = self.forward_tokens(x) 2025-08-14T21:54:22.0164568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:54:22.0164633Z x = block(x) 2025-08-14T21:54:22.0164836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:54:22.0164934Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:54:22.0165131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:22.0165205Z x = self.act(x) 2025-08-14T21:54:22.0165209Z 2025-08-14T21:54:22.0165291Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0165382Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0165490Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0165699Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0165776Z return mod(*inputs) 2025-08-14T21:54:22.0165995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0166067Z x = self.forward_features(x) 2025-08-14T21:54:22.0166306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:22.0166379Z x = self.forward_cls(x) 2025-08-14T21:54:22.0166603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 651, in forward_cls 2025-08-14T21:54:22.0166688Z x = torch.cat([cls_tokens, x], dim=1) 2025-08-14T21:54:22.0166692Z 2025-08-14T21:54:22.0166800Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0167022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0167090Z return mod(*inputs) 2025-08-14T21:54:22.0167296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0167371Z x = self.forward_features(x) 2025-08-14T21:54:22.0167597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:22.0167697Z x = self.forward_cls(x) 2025-08-14T21:54:22.0167908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:22.0167990Z x = block(x) 2025-08-14T21:54:22.0168195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:54:22.0168350Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0168557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 244, in forward 2025-08-14T21:54:22.0168719Z kv = self.kv(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:54:22.0168723Z 2025-08-14T21:54:22.0168831Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0169057Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0169125Z return mod(*inputs) 2025-08-14T21:54:22.0169328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0169409Z x = self.forward_features(x) 2025-08-14T21:54:22.0169641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:22.0169726Z x = self.forward_cls(x) 2025-08-14T21:54:22.0169944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:22.0170010Z x = block(x) 2025-08-14T21:54:22.0170220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:54:22.0170357Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0170560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-08-14T21:54:22.0170801Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-08-14T21:54:22.0170812Z 2025-08-14T21:54:22.0170926Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0171152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0171222Z return mod(*inputs) 2025-08-14T21:54:22.0171421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0171503Z x = self.forward_features(x) 2025-08-14T21:54:22.0171732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:22.0171814Z x = self.forward_cls(x) 2025-08-14T21:54:22.0172028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:22.0172122Z x = block(x) 2025-08-14T21:54:22.0172331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:54:22.0172467Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0172672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-08-14T21:54:22.0172846Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-08-14T21:54:22.0172853Z 2025-08-14T21:54:22.0172940Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0173033Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0173142Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0173355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0173432Z return mod(*inputs) 2025-08-14T21:54:22.0173633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0173709Z x = self.forward_features(x) 2025-08-14T21:54:22.0173948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:22.0174044Z x = self.forward_cls(x) 2025-08-14T21:54:22.0174283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:22.0174348Z x = block(x) 2025-08-14T21:54:22.0174559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:54:22.0174714Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:54:22.0174914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:22.0174979Z x = self.act(x) 2025-08-14T21:54:22.0174983Z 2025-08-14T21:54:22.0175076Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0175187Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0175408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0175479Z return mod(*inputs) 2025-08-14T21:54:22.0175678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0175761Z x = self.forward_features(x) 2025-08-14T21:54:22.0175992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:22.0176066Z x = self.forward_cls(x) 2025-08-14T21:54:22.0176288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:22.0176351Z x = block(x) 2025-08-14T21:54:22.0176553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:54:22.0176697Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:54:22.0176703Z 2025-08-14T21:54:22.0176784Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0176902Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0177118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0177189Z return mod(*inputs) 2025-08-14T21:54:22.0177396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0177471Z x = self.forward_features(x) 2025-08-14T21:54:22.0177706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:22.0177776Z x = self.forward_cls(x) 2025-08-14T21:54:22.0177987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:22.0178058Z x = block(x) 2025-08-14T21:54:22.0178254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-08-14T21:54:22.0178379Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-08-14T21:54:22.0178392Z 2025-08-14T21:54:22.0178501Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0178714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0178790Z return mod(*inputs) 2025-08-14T21:54:22.0178990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0179066Z x = self.forward_features(x) 2025-08-14T21:54:22.0179303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:22.0179374Z x = self.forward_cls(x) 2025-08-14T21:54:22.0179614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:22.0179676Z x = block(x) 2025-08-14T21:54:22.0179873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:54:22.0180008Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0180221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 244, in forward 2025-08-14T21:54:22.0180399Z kv = self.kv(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:54:22.0180404Z 2025-08-14T21:54:22.0180538Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0180758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0180831Z return mod(*inputs) 2025-08-14T21:54:22.0181024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0181096Z x = self.forward_features(x) 2025-08-14T21:54:22.0181332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:22.0181402Z x = self.forward_cls(x) 2025-08-14T21:54:22.0181605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:22.0181673Z x = block(x) 2025-08-14T21:54:22.0181863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:54:22.0181994Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0182185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-08-14T21:54:22.0182323Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-08-14T21:54:22.0182327Z 2025-08-14T21:54:22.0182439Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0182695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0182770Z return mod(*inputs) 2025-08-14T21:54:22.0182960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0183036Z x = self.forward_features(x) 2025-08-14T21:54:22.0183269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:22.0183339Z x = self.forward_cls(x) 2025-08-14T21:54:22.0183545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:22.0183615Z x = block(x) 2025-08-14T21:54:22.0183804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:54:22.0183933Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:54:22.0184121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-08-14T21:54:22.0184308Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-08-14T21:54:22.0184312Z 2025-08-14T21:54:22.0184401Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0184483Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0184590Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0184815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0184882Z return mod(*inputs) 2025-08-14T21:54:22.0185082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0185155Z x = self.forward_features(x) 2025-08-14T21:54:22.0185389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:22.0185467Z x = self.forward_cls(x) 2025-08-14T21:54:22.0185681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:22.0185744Z x = block(x) 2025-08-14T21:54:22.0185945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:54:22.0186108Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:54:22.0186325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:54:22.0186391Z x = self.act(x) 2025-08-14T21:54:22.0186394Z 2025-08-14T21:54:22.0186674Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0186816Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0187028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0187096Z return mod(*inputs) 2025-08-14T21:54:22.0187296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0187369Z x = self.forward_features(x) 2025-08-14T21:54:22.0187601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:22.0187671Z x = self.forward_cls(x) 2025-08-14T21:54:22.0187877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:22.0187948Z x = block(x) 2025-08-14T21:54:22.0188142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:54:22.0188280Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:54:22.0188293Z 2025-08-14T21:54:22.0188377Z cudagraph partition due to non gpu ops 2025-08-14T21:54:22.0188491Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0188707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0188777Z return mod(*inputs) 2025-08-14T21:54:22.0188971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:54:22.0189056Z x = self.forward_features(x) 2025-08-14T21:54:22.0189288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:54:22.0189359Z x = self.forward_cls(x) 2025-08-14T21:54:22.0189581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:54:22.0189641Z x = block(x) 2025-08-14T21:54:22.0189839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-08-14T21:54:22.0189937Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-08-14T21:54:22.0189941Z 2025-08-14T21:54:22.0190045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0190257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0190323Z return mod(*inputs) 2025-08-14T21:54:22.0190543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:54:22.0190615Z x = self.forward_head(x) 2025-08-14T21:54:22.0190829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-08-14T21:54:22.0190913Z aux = self.aux_head(x[:, 1:]) 2025-08-14T21:54:22.0190918Z 2025-08-14T21:54:22.0191021Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:54:22.0191228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:54:22.0191303Z return mod(*inputs) 2025-08-14T21:54:22.0191492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:54:22.0191570Z x = self.forward_head(x) 2025-08-14T21:54:22.0191779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-08-14T21:54:22.0191857Z aux = self.aux_head(x[:, 1:]) 2025-08-14T21:54:22.0191861Z 2025-08-14T21:54:22.0191951Z cudagraph partition due to non gpu ops 2025-08-14T21:54:34.0697305Z Compilation time (from dynamo_timed): 27.55184933 2025-08-14T21:54:34.0698858Z pass 2025-08-14T21:54:34.0711161Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:54:34.0712181Z TIMING: _recursive_pre_grad_passes:0.05063 _recursive_joint_graph_passes:0.47049 _recursive_post_grad_passes:0.14858 async_compile.wait:0.70061 code_gen:12.8797 inductor_compile:15.56318 backend_compile:24.26381 gc:0.00077 entire_frame_compile:27.55185 total_wall_time:27.55185 2025-08-14T21:54:34.0713262Z STATS: call_* op count: 505 | FakeTensorMode.__torch_dispatch__:47476 | FakeTensor.__torch_dispatch__:7017 | ProxyTorchDispatchMode.__torch_dispatch__:6988 2025-08-14T21:54:34.0713802Z Dynamo produced 1 graphs covering 505 ops with 0 graph breaks (0 unique) 2025-08-14T21:54:39.4096304Z 2025-08-14T21:54:40.9093387Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:54:40.9097550Z 2025-08-14T21:54:41.0658716Z model.safetensors: 0% 0.00/756M [00:00> $GITHUB_ENV 2025-08-14T21:56:12.9161145Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-14T21:56:12.9169781Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:12.9170057Z env: 2025-08-14T21:56:12.9170229Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:12.9170551Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:12.9171047Z ##[endgroup] 2025-08-14T21:56:12.9200788Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T21:56:13.1081852Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:56:13.8857830Z Collecting boto3==1.35.33 2025-08-14T21:56:13.9014336Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-14T21:56:14.1357698Z Collecting psutil==7.0.0 2025-08-14T21:56:14.1412845Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-08-14T21:56:14.1628466Z Collecting pynvml==12.0.0 2025-08-14T21:56:14.1658974Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-14T21:56:14.1729136Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-08-14T21:56:14.2023955Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-14T21:56:14.2086499Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-14T21:56:15.0293600Z Collecting botocore<1.36.0,>=1.35.33 2025-08-14T21:56:15.0329137Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-14T21:56:15.1636620Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-14T21:56:15.1687220Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-14T21:56:15.1768625Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-08-14T21:56:15.1772532Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-08-14T21:56:15.3344536Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-08-14T21:56:15.4413365Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-08-14T21:56:15.7967053Z Attempting uninstall: nvidia-ml-py 2025-08-14T21:56:15.7968254Z Found existing installation: nvidia-ml-py 11.525.84 2025-08-14T21:56:15.7978658Z Uninstalling nvidia-ml-py-11.525.84: 2025-08-14T21:56:15.8114062Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-08-14T21:56:15.8652552Z Attempting uninstall: psutil 2025-08-14T21:56:15.8653147Z Found existing installation: psutil 5.9.8 2025-08-14T21:56:15.8699886Z Uninstalling psutil-5.9.8: 2025-08-14T21:56:15.8708009Z Successfully uninstalled psutil-5.9.8 2025-08-14T21:56:16.0054108Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-08-14T21:56:16.1162455Z + DEVICE_NAME= 2025-08-14T21:56:16.1162748Z + DEVICE_TYPE= 2025-08-14T21:56:16.1162979Z + command -v nvidia-smi 2025-08-14T21:56:16.1163179Z + command -v rocminfo 2025-08-14T21:56:16.1163373Z + echo DEVICE_NAME= 2025-08-14T21:56:16.1163608Z + echo DEVICE_TYPE= 2025-08-14T21:56:16.1182872Z ##[group]Run set -eux 2025-08-14T21:56:16.1183079Z set -eux 2025-08-14T21:56:16.1183243Z  2025-08-14T21:56:16.1183418Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-14T21:56:16.1183676Z  echo "Missing github-token input" 2025-08-14T21:56:16.1183892Z  exit 1 2025-08-14T21:56:16.1184058Z fi 2025-08-14T21:56:16.1189824Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:16.1190082Z env: 2025-08-14T21:56:16.1190241Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:16.1190557Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:16.1190886Z DEVICE_NAME: 2025-08-14T21:56:16.1191057Z DEVICE_TYPE: 2025-08-14T21:56:16.1191462Z GITHUB_TOKEN: *** 2025-08-14T21:56:16.1191626Z ##[endgroup] 2025-08-14T21:56:16.1220332Z + [[ -z *** ]] 2025-08-14T21:56:16.1257606Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-14T21:56:16.1257929Z with: 2025-08-14T21:56:16.1258266Z github-token: *** 2025-08-14T21:56:16.1258463Z env: 2025-08-14T21:56:16.1258643Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:16.1259005Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:16.1259482Z DEVICE_NAME: 2025-08-14T21:56:16.1259675Z DEVICE_TYPE: 2025-08-14T21:56:16.1259882Z ##[endgroup] 2025-08-14T21:56:16.1270813Z ##[group]Run set -eux 2025-08-14T21:56:16.1271087Z set -eux 2025-08-14T21:56:16.1271254Z  2025-08-14T21:56:16.1271591Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:56:16.1276361Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:16.1276643Z env: 2025-08-14T21:56:16.1276807Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:16.1277116Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:16.1277441Z DEVICE_NAME: 2025-08-14T21:56:16.1277608Z DEVICE_TYPE: 2025-08-14T21:56:16.1277909Z GITHUB_TOKEN: *** 2025-08-14T21:56:16.1278082Z ##[endgroup] 2025-08-14T21:56:16.1299355Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976338999 i-0c68087759510ebf3 2025-08-14T21:56:17.6663567Z setting job-id=48128261063 2025-08-14T21:56:17.6664393Z setting job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:56:17.6757178Z ##[group]Run set -eux 2025-08-14T21:56:17.6757387Z set -eux 2025-08-14T21:56:17.6757585Z  2025-08-14T21:56:17.6757857Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-14T21:56:17.6758204Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-14T21:56:17.6758436Z  --repo "${REPO}" \ 2025-08-14T21:56:17.6758656Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-14T21:56:17.6758885Z  --head-sha "${HEAD_SHA}" \ 2025-08-14T21:56:17.6759108Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-14T21:56:17.6759348Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-14T21:56:17.6759580Z  --job-id "${JOB_ID}" \ 2025-08-14T21:56:17.6759790Z  --job-name "${JOB_NAME}" 2025-08-14T21:56:17.6764532Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:17.6764809Z env: 2025-08-14T21:56:17.6764992Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:17.6765305Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:17.6765631Z DEVICE_NAME: 2025-08-14T21:56:17.6765797Z DEVICE_TYPE: 2025-08-14T21:56:17.6765956Z SCHEMA_VERSION: v3 2025-08-14T21:56:17.6766144Z REPO: pytorch/pytorch 2025-08-14T21:56:17.6766330Z HEAD_BRANCH: refs/heads/main 2025-08-14T21:56:17.6766546Z HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:56:17.6766777Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T21:56:17.6766963Z RUN_ATTEMPT: 1 2025-08-14T21:56:17.6767131Z JOB_ID: 48128261063 2025-08-14T21:56:17.6767478Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:56:17.6767844Z ##[endgroup] 2025-08-14T21:56:17.6796683Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 1fc683cf17c8c673044538d10266c00f92987be2 --workflow-id 16976338999 --run-attempt 1 --job-id 48128261063 --job-name 'linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx)' 2025-08-14T21:56:17.7076790Z ##[group]Run set -eux 2025-08-14T21:56:17.7076987Z set -eux 2025-08-14T21:56:17.7077136Z  2025-08-14T21:56:17.7077379Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-14T21:56:17.7081808Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:17.7082046Z env: 2025-08-14T21:56:17.7082197Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:17.7082569Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:17.7082870Z DEVICE_NAME: 2025-08-14T21:56:17.7083042Z DEVICE_TYPE: 2025-08-14T21:56:17.7083187Z ##[endgroup] 2025-08-14T21:56:17.7105143Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-14T21:56:17.7452560Z INFO:root:Fail to import torch to get the device name 2025-08-14T21:56:17.7544163Z ##[group]Run set -eux 2025-08-14T21:56:17.7544371Z set -eux 2025-08-14T21:56:17.7544526Z  2025-08-14T21:56:17.7544701Z # TODO (huydhn): Implement this part 2025-08-14T21:56:17.7545061Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:56:17.7549613Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:17.7549848Z env: 2025-08-14T21:56:17.7550008Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:17.7550301Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:17.7550607Z DEVICE_NAME: 2025-08-14T21:56:17.7550898Z DEVICE_TYPE: 2025-08-14T21:56:17.7551109Z ##[endgroup] 2025-08-14T21:56:17.7571108Z + echo 'dependencies={}' 2025-08-14T21:56:17.7590309Z ##[group]Run set -eux 2025-08-14T21:56:17.7590514Z set -eux 2025-08-14T21:56:17.7590670Z  2025-08-14T21:56:17.7590851Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-14T21:56:17.7591134Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-14T21:56:17.7591440Z  # We don't want the job to fail if the directory doesn't exist 2025-08-14T21:56:17.7591682Z  exit 0 2025-08-14T21:56:17.7591829Z fi 2025-08-14T21:56:17.7591972Z  2025-08-14T21:56:17.7592133Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-14T21:56:17.7592426Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T21:56:17.7592780Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T21:56:17.7593058Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T21:56:17.7593280Z  --runners "${RUNNER_INFO}" \ 2025-08-14T21:56:17.7593504Z  --dependencies "${DEPENDENCIES}" \ 2025-08-14T21:56:17.7593715Z  --dry-run 2025-08-14T21:56:17.7593876Z else 2025-08-14T21:56:17.7594109Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T21:56:17.7594436Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T21:56:17.7594693Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T21:56:17.7594904Z  --runners "${RUNNER_INFO}" \ 2025-08-14T21:56:17.7595121Z  --dependencies "${DEPENDENCIES}" 2025-08-14T21:56:17.7595321Z fi 2025-08-14T21:56:17.7599188Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:17.7599418Z env: 2025-08-14T21:56:17.7599572Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:17.7599873Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:17.7600186Z DEVICE_NAME: 2025-08-14T21:56:17.7600340Z DEVICE_TYPE: 2025-08-14T21:56:17.7600518Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-14T21:56:17.7600710Z DRY_RUN: false 2025-08-14T21:56:17.7601502Z BENCHMARK_METADATA: {"timestamp": 1755208577, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976338999, "run_attempt": 1, "job_id": 48128261063} 2025-08-14T21:56:17.7602483Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-34-97.ec2.internal"}, "name": "", "type": ""}] 2025-08-14T21:56:17.7602917Z DEPENDENCIES: {} 2025-08-14T21:56:17.7603078Z ##[endgroup] 2025-08-14T21:56:17.7623542Z + [[ ! -d test/test-reports ]] 2025-08-14T21:56:17.7624018Z + [[ false == \t\r\u\e ]] 2025-08-14T21:56:17.7625992Z + 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": 1755208577, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976338999, "run_attempt": 1, "job_id": 48128261063}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-34-97.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-08-14T21:56:17.8802867Z INFO:root:Upload test/test-reports/inference_timm_models.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976338999/48128261063/inference_timm_models.json 2025-08-14T21:56:17.9076062Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-08-14T21:56:18.1164050Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-14T21:56:18.1164316Z cat test/**/*_toprint.log || true 2025-08-14T21:56:18.1168891Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:18.1169147Z env: 2025-08-14T21:56:18.1169316Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:18.1169622Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:18.1169954Z DEVICE_NAME: 2025-08-14T21:56:18.1170120Z DEVICE_TYPE: 2025-08-14T21:56:18.1170282Z ##[endgroup] 2025-08-14T21:56:18.1242896Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-14T21:56:18.1263458Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-08-14T21:56:18.1263735Z kill "$MONITOR_SCRIPT_PID" 2025-08-14T21:56:18.1268001Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:18.1268258Z env: 2025-08-14T21:56:18.1268426Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:18.1268737Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:18.1269063Z DEVICE_NAME: 2025-08-14T21:56:18.1269233Z DEVICE_TYPE: 2025-08-14T21:56:18.1269403Z MONITOR_SCRIPT_PID: 47950 2025-08-14T21:56:18.1269584Z ##[endgroup] 2025-08-14T21:56:18.1371013Z Prepare all required actions 2025-08-14T21:56:18.1375253Z Getting action download info 2025-08-14T21:56:18.2623084Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:56:18.4737121Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T21:56:18.8490292Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-14T21:56:18.8490586Z with: 2025-08-14T21:56:18.8491054Z file-suffix: test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063 2025-08-14T21:56:18.8491419Z s3-bucket: gha-artifacts 2025-08-14T21:56:18.8491641Z env: 2025-08-14T21:56:18.8491829Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:18.8492213Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:18.8492585Z DEVICE_NAME: 2025-08-14T21:56:18.8492776Z DEVICE_TYPE: 2025-08-14T21:56:18.8492963Z ##[endgroup] 2025-08-14T21:56:18.8510466Z ##[group]Run # Remove any previous test jsons if they exist 2025-08-14T21:56:18.8510796Z # Remove any previous test jsons if they exist 2025-08-14T21:56:18.8511043Z rm -f test-jsons-*.zip 2025-08-14T21:56:18.8511331Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-08-14T21:56:18.8516030Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:18.8516277Z env: 2025-08-14T21:56:18.8516445Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:18.8516843Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:18.8517166Z DEVICE_NAME: 2025-08-14T21:56:18.8517343Z DEVICE_TYPE: 2025-08-14T21:56:18.8517626Z FILE_SUFFIX: test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063 2025-08-14T21:56:18.8517933Z ##[endgroup] 2025-08-14T21:56:18.8687708Z adding: test/test-reports/inference_timm_models.json (deflated 99%) 2025-08-14T21:56:18.8704514Z ##[group]Run # Remove any previous test reports if they exist 2025-08-14T21:56:18.8704859Z # Remove any previous test reports if they exist 2025-08-14T21:56:18.8705123Z rm -f test-reports-*.zip 2025-08-14T21:56:18.8705439Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-08-14T21:56:18.8709935Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:18.8710172Z env: 2025-08-14T21:56:18.8710327Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:18.8710622Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:18.8710926Z DEVICE_NAME: 2025-08-14T21:56:18.8711083Z DEVICE_TYPE: 2025-08-14T21:56:18.8711393Z FILE_SUFFIX: test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063 2025-08-14T21:56:18.8711675Z ##[endgroup] 2025-08-14T21:56:18.8760334Z adding: test/test-reports/inference_timm_models.csv (deflated 62%) 2025-08-14T21:56:18.8781084Z ##[group]Run # Remove any previous usage logs if they exist 2025-08-14T21:56:18.8781396Z # Remove any previous usage logs if they exist 2025-08-14T21:56:18.8781640Z rm -f logs-*.zip 2025-08-14T21:56:18.8781873Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-08-14T21:56:18.8782184Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-08-14T21:56:18.8786216Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:18.8786451Z env: 2025-08-14T21:56:18.8786610Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:18.8786898Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:18.8787205Z DEVICE_NAME: 2025-08-14T21:56:18.8787368Z DEVICE_TYPE: 2025-08-14T21:56:18.8787618Z FILE_SUFFIX: test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063 2025-08-14T21:56:18.8787891Z ##[endgroup] 2025-08-14T21:56:18.8848035Z adding: usage_log.txt (deflated 96%) 2025-08-14T21:56:18.8857849Z 2025-08-14T21:56:18.8858570Z zip error: Nothing to do! (logs-test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063.zip) 2025-08-14T21:56:18.8874854Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-08-14T21:56:18.8875176Z # Remove any previous debugging artifacts if they exist 2025-08-14T21:56:18.8875419Z rm -f debug-*.zip 2025-08-14T21:56:18.8875610Z if [ -d 'test/debug' ]; then 2025-08-14T21:56:18.8875867Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-08-14T21:56:18.8876089Z fi 2025-08-14T21:56:18.8880036Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:18.8880286Z env: 2025-08-14T21:56:18.8880461Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:18.8880761Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:18.8881085Z DEVICE_NAME: 2025-08-14T21:56:18.8881252Z DEVICE_TYPE: 2025-08-14T21:56:18.8881528Z FILE_SUFFIX: test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063 2025-08-14T21:56:18.8881813Z ##[endgroup] 2025-08-14T21:56:18.8942936Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:56:18.8943171Z with: 2025-08-14T21:56:18.8943350Z s3-bucket: gha-artifacts 2025-08-14T21:56:18.8943591Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:56:18.8943827Z retention-days: 14 2025-08-14T21:56:18.8944018Z if-no-files-found: warn 2025-08-14T21:56:18.8944219Z path: test-jsons-*.zip 2025-08-14T21:56:18.8944462Z name: artifact 2025-08-14T21:56:18.8944633Z region: us-east-1 2025-08-14T21:56:18.8944799Z env: 2025-08-14T21:56:18.8944949Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:18.8945260Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:18.8945591Z DEVICE_NAME: 2025-08-14T21:56:18.8945756Z DEVICE_TYPE: 2025-08-14T21:56:18.8945909Z ##[endgroup] 2025-08-14T21:56:19.1690097Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:56:19.1690468Z With the provided path, there will be 1 file uploaded 2025-08-14T21:56:19.1690830Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:56:19.1724778Z Starting upload of test-jsons-test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063.zip 2025-08-14T21:56:19.3129920Z Finished upload of test-jsons-test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063.zip 2025-08-14T21:56:19.3276331Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:56:19.3276582Z with: 2025-08-14T21:56:19.3276767Z s3-bucket: gha-artifacts 2025-08-14T21:56:19.3276998Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:56:19.3277229Z retention-days: 14 2025-08-14T21:56:19.3277502Z if-no-files-found: error 2025-08-14T21:56:19.3277700Z path: test-reports-*.zip 2025-08-14T21:56:19.3277872Z name: artifact 2025-08-14T21:56:19.3278042Z region: us-east-1 2025-08-14T21:56:19.3278209Z env: 2025-08-14T21:56:19.3278359Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:19.3278683Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:19.3279013Z DEVICE_NAME: 2025-08-14T21:56:19.3279186Z DEVICE_TYPE: 2025-08-14T21:56:19.3279344Z ##[endgroup] 2025-08-14T21:56:19.5897777Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:56:19.5898148Z With the provided path, there will be 1 file uploaded 2025-08-14T21:56:19.5898434Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:56:19.5930441Z Starting upload of test-reports-test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063.zip 2025-08-14T21:56:19.7085995Z Finished upload of test-reports-test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063.zip 2025-08-14T21:56:19.7241216Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:56:19.7241463Z with: 2025-08-14T21:56:19.7241643Z s3-bucket: gha-artifacts 2025-08-14T21:56:19.7241871Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:56:19.7242249Z retention-days: 14 2025-08-14T21:56:19.7242444Z if-no-files-found: ignore 2025-08-14T21:56:19.7242640Z path: logs-*.zip 2025-08-14T21:56:19.7242819Z name: artifact 2025-08-14T21:56:19.7243001Z region: us-east-1 2025-08-14T21:56:19.7243170Z env: 2025-08-14T21:56:19.7243337Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:19.7243673Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:19.7244011Z DEVICE_NAME: 2025-08-14T21:56:19.7244192Z DEVICE_TYPE: 2025-08-14T21:56:19.7244376Z ##[endgroup] 2025-08-14T21:56:19.9823047Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:56:19.9823570Z With the provided path, there will be 1 file uploaded 2025-08-14T21:56:19.9824062Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:56:19.9855603Z Starting upload of logs-test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063.zip 2025-08-14T21:56:20.1162236Z Finished upload of logs-test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063.zip 2025-08-14T21:56:20.1308772Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:56:20.1309011Z with: 2025-08-14T21:56:20.1309186Z s3-bucket: gha-artifacts 2025-08-14T21:56:20.1309421Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:56:20.1309650Z retention-days: 14 2025-08-14T21:56:20.1309835Z if-no-files-found: ignore 2025-08-14T21:56:20.1310027Z path: debug-*.zip 2025-08-14T21:56:20.1310188Z name: artifact 2025-08-14T21:56:20.1310464Z region: us-east-1 2025-08-14T21:56:20.1310631Z env: 2025-08-14T21:56:20.1310792Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:20.1311119Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:20.1311460Z DEVICE_NAME: 2025-08-14T21:56:20.1311632Z DEVICE_TYPE: 2025-08-14T21:56:20.1311799Z ##[endgroup] 2025-08-14T21:56:20.3832459Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-08-14T21:56:20.3994778Z ##[group]Run # shellcheck disable=SC2156 2025-08-14T21:56:20.3995040Z # shellcheck disable=SC2156 2025-08-14T21:56:20.3995423Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-14T21:56:20.4000786Z shell: /usr/bin/bash -e {0} 2025-08-14T21:56:20.4000993Z env: 2025-08-14T21:56:20.4001170Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:20.4001483Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:20.4001831Z DEVICE_NAME: 2025-08-14T21:56:20.4002002Z DEVICE_TYPE: 2025-08-14T21:56:20.4002158Z ##[endgroup] 2025-08-14T21:56:20.5775545Z Prepare all required actions 2025-08-14T21:56:20.5775978Z Getting action download info 2025-08-14T21:56:20.6811278Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-08-14T21:56:20.6811587Z with: 2025-08-14T21:56:20.6811787Z job_id: 48128261063 2025-08-14T21:56:20.6812209Z job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:56:20.6812636Z workflow_name: inductor-periodic 2025-08-14T21:56:20.6812880Z workflow_run_id: 16976338999 2025-08-14T21:56:20.6813099Z workflow_attempt: 1 2025-08-14T21:56:20.6813285Z env: 2025-08-14T21:56:20.6813463Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:20.6813818Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:20.6814180Z DEVICE_NAME: 2025-08-14T21:56:20.6814359Z DEVICE_TYPE: 2025-08-14T21:56:20.6814557Z ##[endgroup] 2025-08-14T21:56:20.6828355Z ##[group]Run echo "workflow_id: 16976338999" 2025-08-14T21:56:20.6828674Z echo "workflow_id: 16976338999" 2025-08-14T21:56:20.6828918Z echo "workflow_attempt: 1" 2025-08-14T21:56:20.6829146Z echo "workflow_Name: inductor-periodic" 2025-08-14T21:56:20.6829379Z echo "job_id: 48128261063" 2025-08-14T21:56:20.6829774Z echo "job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx)" 2025-08-14T21:56:20.6830161Z echo "artifact_prefix: " 2025-08-14T21:56:20.6830375Z python3 --version 2025-08-14T21:56:20.6834983Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:20.6835236Z env: 2025-08-14T21:56:20.6835392Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:20.6835699Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:20.6836016Z DEVICE_NAME: 2025-08-14T21:56:20.6836184Z DEVICE_TYPE: 2025-08-14T21:56:20.6836354Z ##[endgroup] 2025-08-14T21:56:20.6858229Z workflow_id: 16976338999 2025-08-14T21:56:20.6858661Z workflow_attempt: 1 2025-08-14T21:56:20.6858980Z workflow_Name: inductor-periodic 2025-08-14T21:56:20.6859315Z job_id: 48128261063 2025-08-14T21:56:20.6859786Z job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:56:20.6860168Z artifact_prefix: 2025-08-14T21:56:20.6871367Z Python 3.9.23 2025-08-14T21:56:20.6899155Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:56:20.6899382Z with: 2025-08-14T21:56:20.6899543Z shell: bash 2025-08-14T21:56:20.6899703Z timeout_minutes: 5 2025-08-14T21:56:20.6899883Z max_attempts: 5 2025-08-14T21:56:20.6900057Z retry_wait_seconds: 30 2025-08-14T21:56:20.6900428Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-08-14T21:56:20.6900826Z polling_interval_seconds: 1 2025-08-14T21:56:20.6901105Z warning_on_retry: true 2025-08-14T21:56:20.6901289Z continue_on_error: false 2025-08-14T21:56:20.6901490Z env: 2025-08-14T21:56:20.6901654Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:20.6901968Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:20.6902449Z DEVICE_NAME: 2025-08-14T21:56:20.6902618Z DEVICE_TYPE: 2025-08-14T21:56:20.6902779Z ##[endgroup] 2025-08-14T21:56:20.9592503Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:56:21.0244178Z Collecting python-dateutil==2.8.2 2025-08-14T21:56:21.0412492Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-08-14T21:56:21.7587514Z Collecting boto3==1.35.42 2025-08-14T21:56:21.7632172Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-08-14T21:56:22.1483477Z Collecting pandas==2.1.3 2025-08-14T21:56:22.1533889Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-08-14T21:56:22.2803481Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-08-14T21:56:22.2820068Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-08-14T21:56:22.2853692Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0) 2025-08-14T21:56:22.2861269Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4) 2025-08-14T21:56:22.2861984Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99) 2025-08-14T21:56:22.3575520Z Collecting tzdata>=2022.1 2025-08-14T21:56:22.3613144Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-08-14T21:56:22.9843236Z Collecting numpy<2,>=1.22.4 2025-08-14T21:56:22.9889337Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-08-14T21:56:23.1145228Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-08-14T21:56:23.1170497Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-08-14T21:56:23.1171565Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-08-14T21:56:23.1221474Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10) 2025-08-14T21:56:23.1314828Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-08-14T21:56:23.1392537Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.14.1) 2025-08-14T21:56:23.1393401Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-08-14T21:56:23.2595482Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-08-14T21:56:27.4305252Z Attempting uninstall: boto3 2025-08-14T21:56:27.4305557Z Found existing installation: boto3 1.35.33 2025-08-14T21:56:27.4377387Z Uninstalling boto3-1.35.33: 2025-08-14T21:56:27.4387417Z Successfully uninstalled boto3-1.35.33 2025-08-14T21:56:27.4843272Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-08-14T21:56:27.7597025Z Command completed after 1 attempt(s). 2025-08-14T21:56:27.7647723Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T21:56:27.7648340Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T21:56:27.7648696Z  --workflow-run-id "16976338999" \ 2025-08-14T21:56:27.7648970Z  --workflow-name "inductor-periodic" \ 2025-08-14T21:56:27.7649232Z  --workflow-run-attempt "1" \ 2025-08-14T21:56:27.7649457Z  --job-id "48128261063" \ 2025-08-14T21:56:27.7649874Z  --job-name "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx)" \ 2025-08-14T21:56:27.7650287Z  --local-path "" \ 2025-08-14T21:56:27.7650502Z  --artifact-prefix "" 2025-08-14T21:56:27.7656004Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:27.7656260Z env: 2025-08-14T21:56:27.7656433Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:27.7656742Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:27.7657072Z DEVICE_NAME: 2025-08-14T21:56:27.7657240Z DEVICE_TYPE: 2025-08-14T21:56:27.7657396Z ##[endgroup] 2025-08-14T21:56:28.6009525Z repo: pytorch/pytorch 2025-08-14T21:56:28.6010133Z Search for test log in s3 bucket: ossci-utilization 2025-08-14T21:56:28.6010622Z Downloading logs-test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063.zip 2025-08-14T21:56:28.6011497Z extracting usage_log.txt from zip file logs-test-cpu_inductor_freezing_timm-2-2-linux.8xlarge.amx_48128261063.zip 2025-08-14T21:56:28.6011915Z Converted Log Model: UtilizationMetadata: 2025-08-14T21:56:28.6012857Z UtilizationMetadata(level='metadata', workflow_id='16976338999', job_id='48128261063', workflow_name='inductor-periodic', job_name='linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755207277, gpu_count=0, cpu_count=32, gpu_type=None, error=None) 2025-08-14T21:56:28.6013880Z [Db Segments] detected pytest cmd: 9, generated segments: 9 2025-08-14T21:56:28.6014161Z [db model] Peek db timeseries 2025-08-14T21:56:28.6014346Z :{ 2025-08-14T21:56:28.6014514Z "created_at": 1755208588, 2025-08-14T21:56:28.6014720Z "type": "utilization", 2025-08-14T21:56:28.6014904Z "tags": [ 2025-08-14T21:56:28.6015055Z "record" 2025-08-14T21:56:28.6015214Z ], 2025-08-14T21:56:28.6015370Z "time_stamp": 1755207277, 2025-08-14T21:56:28.6015569Z "repo": "pytorch/pytorch", 2025-08-14T21:56:28.6015783Z "workflow_id": 16976338999, 2025-08-14T21:56:28.6015977Z "run_attempt": 1, 2025-08-14T21:56:28.6016143Z "job_id": 48128261063, 2025-08-14T21:56:28.6016344Z "workflow_name": "inductor-periodic", 2025-08-14T21:56:28.6016738Z "job_name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_freezing_timm, 2, 2, linux.8xlarge.amx)", 2025-08-14T21:56:28.6017096Z "json_data": "{}" 2025-08-14T21:56:28.6017302Z } 2025-08-14T21:56:28.6017634Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128261063/metadata 2025-08-14T21:56:28.6018192Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128261063/metadata 2025-08-14T21:56:28.6019043Z Writing 259 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128261063/time_series 2025-08-14T21:56:28.6019639Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128261063/time_series 2025-08-14T21:56:28.7053469Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-08-14T21:56:28.7053829Z with: 2025-08-14T21:56:28.7054015Z env: 2025-08-14T21:56:28.7054198Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:28.7054577Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:28.7054962Z DEVICE_NAME: 2025-08-14T21:56:28.7055146Z DEVICE_TYPE: 2025-08-14T21:56:28.7055336Z ##[endgroup] 2025-08-14T21:56:28.7067932Z ##[group]Run set -eou pipefail 2025-08-14T21:56:28.7068177Z set -eou pipefail 2025-08-14T21:56:28.7068365Z  2025-08-14T21:56:28.7068620Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-08-14T21:56:28.7068977Z for _ in $(seq 1440); do 2025-08-14T21:56:28.7069243Z  # Break if no ssh session exists anymore 2025-08-14T21:56:28.7069510Z  if [ "$(who)" = "" ]; then 2025-08-14T21:56:28.7069742Z  break 2025-08-14T21:56:28.7069979Z  fi 2025-08-14T21:56:28.7070162Z  echo "." 2025-08-14T21:56:28.7070360Z  sleep 5 2025-08-14T21:56:28.7070551Z done 2025-08-14T21:56:28.7075651Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:28.7075932Z env: 2025-08-14T21:56:28.7076110Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:28.7076466Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:28.7076833Z DEVICE_NAME: 2025-08-14T21:56:28.7077016Z DEVICE_TYPE: 2025-08-14T21:56:28.7077198Z ##[endgroup] 2025-08-14T21:56:28.7101173Z Holding runner for 2 hours until all ssh sessions have logged out 2025-08-14T21:56:28.7179451Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:56:28.7179995Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:56:28.7180272Z # shellcheck disable=SC2046 2025-08-14T21:56:28.7180521Z docker stop $(docker ps -q) || true 2025-08-14T21:56:28.7180746Z # Prune all of the docker images 2025-08-14T21:56:28.7180973Z docker system prune -af 2025-08-14T21:56:28.7185284Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:28.7185512Z env: 2025-08-14T21:56:28.7185668Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:56:28.7185993Z DOCKER_CONTAINER_ID: d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:28.7186302Z DEVICE_NAME: 2025-08-14T21:56:28.7186467Z DEVICE_TYPE: 2025-08-14T21:56:28.7186628Z ##[endgroup] 2025-08-14T21:56:39.6167810Z d29175f71304 2025-08-14T21:56:40.1170906Z Deleted Containers: 2025-08-14T21:56:40.1171482Z d29175f71304a6a7a602f80c2c26e1aac8eecf8c643d678c763c240bb90a6a7a 2025-08-14T21:56:40.1177824Z 2025-08-14T21:56:47.3718012Z Deleted Images: 2025-08-14T21:56:47.3719084Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 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2025-08-14T21:56:47.4730405Z git version 2.47.1 2025-08-14T21:56:47.4764948Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/65e8bc14-4fd3-43e2-8a23-f62ebff29e3e/.gitconfig' 2025-08-14T21:56:47.4779976Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/65e8bc14-4fd3-43e2-8a23-f62ebff29e3e' before making global git config changes 2025-08-14T21:56:47.4780949Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:56:47.4785938Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:56:47.4832030Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:56:47.4863496Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-08-14T21:56:47.5193358Z Entering 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2025-08-14T21:56:48.5315712Z Entering 'third_party/sleef' 2025-08-14T21:56:48.5352280Z http.https://github.com/.extraheader 2025-08-14T21:56:48.5383769Z Entering 'third_party/tensorpipe' 2025-08-14T21:56:48.5423245Z http.https://github.com/.extraheader 2025-08-14T21:56:48.5459297Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:56:48.5492212Z http.https://github.com/.extraheader 2025-08-14T21:56:48.5527920Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:56:48.5561135Z http.https://github.com/.extraheader 2025-08-14T21:56:48.5600173Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:56:48.5634579Z http.https://github.com/.extraheader 2025-08-14T21:56:48.5672483Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:56:48.5706026Z http.https://github.com/.extraheader 2025-08-14T21:56:48.5740574Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:56:48.5772017Z http.https://github.com/.extraheader 2025-08-14T21:56:48.5946107Z A job completed hook has been configured by the self-hosted runner administrator 2025-08-14T21:56:48.5958772Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-08-14T21:56:48.5961946Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:56:48.5962189Z ##[endgroup] 2025-08-14T21:56:48.6044978Z [!ALERT!] Swap in detected! [!ALERT!] 2025-08-14T21:56:57.7506643Z [!ALERT!] Swap out detected [!ALERT!] 2025-08-14T21:57:13.3300772Z Cleaning up orphan processes