2025-12-04T09:19:23.4552882Z Current runner version: '2.330.0' 2025-12-04T09:19:23.4558328Z Runner name: 'i-08ccd78ef7edeaec7' 2025-12-04T09:19:23.4559036Z Runner group name: 'default' 2025-12-04T09:19:23.4560012Z Machine name: 'ip-10-0-7-121' 2025-12-04T09:19:23.4562902Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T09:19:23.4565030Z Contents: read 2025-12-04T09:19:23.4565653Z Metadata: read 2025-12-04T09:19:23.4566259Z ##[endgroup] 2025-12-04T09:19:23.4568237Z Secret source: Actions 2025-12-04T09:19:23.4568949Z Prepare workflow directory 2025-12-04T09:19:23.5035509Z Prepare all required actions 2025-12-04T09:19:23.5068165Z Getting action download info 2025-12-04T09:19:23.8627162Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T09:19:26.5192813Z Download action repository 'pytorch/pytorch@main' (SHA:7716da9fb23f27a65b41f9f016a2afadf281c18f) 2025-12-04T09:19:43.6897535Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T09:19:44.0656921Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T09:19:44.3535135Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T09:19:44.5450324Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:19:44.7795997Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:19:45.0709807Z Getting action download info 2025-12-04T09:19:45.2125936Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T09:19:45.7547786Z Getting action download info 2025-12-04T09:19:45.8852310Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T09:19:46.1367637Z Getting action download info 2025-12-04T09:19:46.2716533Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T09:19:46.4689977Z Getting action download info 2025-12-04T09:19:46.6195145Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T09:19:46.6198611Z ##[group] Inputs 2025-12-04T09:19:46.6198916Z build-environment: linux-jammy-cuda12.8-py3.12-gcc11 2025-12-04T09:19:46.6205059Z test-matrix: {"include": [{"config": "vllm_basic_correctness_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_basic_models_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_entrypoints_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_regression_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_multi_model_processor_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_pytorch_compilation_unit_tests", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_multi_model_test_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_language_model_test_extended_generation_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_distributed_test_2_gpu_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 0, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 1, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 2, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 3, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_tp_test_distributed", "shard": 1, "num_shards": 1, "runner": "linux.g6.12xlarge.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_distributed_test_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.12xlarge.nvidia.gpu", "unstable": "unstable"}]} 2025-12-04T09:19:46.6211497Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:46.6212133Z sync-tag: 2025-12-04T09:19:46.6212961Z timeout-minutes: 240 2025-12-04T09:19:46.6213181Z use-gha: 2025-12-04T09:19:46.6213538Z dashboard-tag: 2025-12-04T09:19:46.6213720Z s3-bucket: gha-artifacts 2025-12-04T09:19:46.6213919Z aws-role-to-assume: 2025-12-04T09:19:46.6214458Z disable-monitor: false 2025-12-04T09:19:46.6214702Z monitor-log-interval: 5 2025-12-04T09:19:46.6214930Z monitor-data-collect-interval: 1 2025-12-04T09:19:46.6215171Z ##[endgroup] 2025-12-04T09:19:46.6215581Z Complete job name: ci-vllm-test / test (vllm_distributed_test_28_failure_test, 1, 1, linux.g6.12xlarge.nvidia.gpu, unstable) 2025-12-04T09:19:46.7072427Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T09:19:46.7170700Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T09:19:46.7181084Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:19:46.7181628Z ##[endgroup] 2025-12-04T09:19:48.1290084Z Runner Type: linux.g6.12xlarge.nvidia.gpu 2025-12-04T09:19:48.1290723Z Instance Type: g6.12xlarge 2025-12-04T09:19:48.1291006Z AMI Name: unknown 2025-12-04T09:19:48.1343459Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T09:19:53.2262659Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T09:19:53.2263021Z with: 2025-12-04T09:19:53.2263535Z github-secret: *** 2025-12-04T09:19:53.2264067Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T09:19:53.2264612Z activate-with-label: false 2025-12-04T09:19:53.2264819Z label: with-ssh 2025-12-04T09:19:53.2265003Z remove-existing-keys: true 2025-12-04T09:19:53.2265208Z fail-silently: true 2025-12-04T09:19:53.2265390Z env: 2025-12-04T09:19:53.2265558Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:53.2265755Z ##[endgroup] 2025-12-04T09:19:53.3655129Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T09:19:53.3656869Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T09:19:53.3822837Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T09:19:53.3823217Z with: 2025-12-04T09:19:53.3823379Z no-sudo: true 2025-12-04T09:19:53.3823565Z submodules: recursive 2025-12-04T09:19:53.3823817Z fetch-depth: 0 2025-12-04T09:19:53.3846254Z env: 2025-12-04T09:19:53.3846492Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:53.3846713Z ##[endgroup] 2025-12-04T09:19:53.3919339Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:19:53.3920087Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:19:53.3933263Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:19:53.3933566Z env: 2025-12-04T09:19:53.3933761Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:53.3933991Z ##[endgroup] 2025-12-04T09:19:53.4025948Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T09:19:53.4026290Z # Use all available CPUs for fetching 2025-12-04T09:19:53.4026555Z cd "${GITHUB_WORKSPACE}" 2025-12-04T09:19:53.4026815Z git config --global fetch.parallel 0 2025-12-04T09:19:53.4027106Z git config --global submodule.fetchJobs 0 2025-12-04T09:19:53.4027360Z  2025-12-04T09:19:53.4027683Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T09:19:53.4028069Z # do it here as well just in case 2025-12-04T09:19:53.4028317Z if [[ -d .git ]]; then 2025-12-04T09:19:53.4028535Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T09:19:53.4028777Z  sudo git clean -ffdx 2025-12-04T09:19:53.4028988Z  else 2025-12-04T09:19:53.4029164Z  git clean -ffdx 2025-12-04T09:19:53.4029362Z  fi 2025-12-04T09:19:53.4029524Z fi 2025-12-04T09:19:53.4037831Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:19:53.4038119Z env: 2025-12-04T09:19:53.4038287Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:53.4038501Z NO_SUDO: true 2025-12-04T09:19:53.4038661Z ##[endgroup] 2025-12-04T09:19:53.4170761Z ##[group]Run actions/checkout@v4 2025-12-04T09:19:53.4171003Z with: 2025-12-04T09:19:53.4171200Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:19:53.4171448Z fetch-depth: 0 2025-12-04T09:19:53.4171630Z submodules: recursive 2025-12-04T09:19:53.4171832Z show-progress: false 2025-12-04T09:19:53.4172035Z repository: pytorch/pytorch 2025-12-04T09:19:53.4172418Z token: *** 2025-12-04T09:19:53.4172596Z ssh-strict: true 2025-12-04T09:19:53.4172799Z ssh-user: git 2025-12-04T09:19:53.4172985Z persist-credentials: true 2025-12-04T09:19:53.4173199Z clean: true 2025-12-04T09:19:53.4173389Z sparse-checkout-cone-mode: true 2025-12-04T09:19:53.4173607Z fetch-tags: false 2025-12-04T09:19:53.4173804Z lfs: false 2025-12-04T09:19:53.4173983Z set-safe-directory: true 2025-12-04T09:19:53.4174188Z env: 2025-12-04T09:19:53.4174356Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:53.4174553Z ##[endgroup] 2025-12-04T09:19:53.5188061Z Syncing repository: pytorch/pytorch 2025-12-04T09:19:53.5189214Z ##[group]Getting Git version info 2025-12-04T09:19:53.5189611Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T09:19:53.5190114Z [command]/usr/bin/git version 2025-12-04T09:19:53.5409398Z git version 2.50.1 2025-12-04T09:19:53.5437483Z ##[endgroup] 2025-12-04T09:19:53.5447012Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/3f57306d-320f-4fe0-b99e-b3750c2145fb/.gitconfig' 2025-12-04T09:19:53.5468685Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/3f57306d-320f-4fe0-b99e-b3750c2145fb' before making global git config changes 2025-12-04T09:19:53.5470406Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T09:19:53.5473508Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:19:53.5540657Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T09:19:53.5544197Z ##[group]Initializing the repository 2025-12-04T09:19:53.5547417Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:19:53.5641639Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T09:19:53.5642217Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T09:19:53.5642729Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T09:19:53.5643388Z hint: 2025-12-04T09:19:53.5643708Z hint: git config --global init.defaultBranch 2025-12-04T09:19:53.5644050Z hint: 2025-12-04T09:19:53.5644355Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T09:19:53.5644844Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T09:19:53.5645161Z hint: 2025-12-04T09:19:53.5645335Z hint: git branch -m 2025-12-04T09:19:53.5645529Z hint: 2025-12-04T09:19:53.5645795Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T09:19:53.5651819Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T09:19:53.5664145Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T09:19:53.5728103Z ##[endgroup] 2025-12-04T09:19:53.5728935Z ##[group]Disabling automatic garbage collection 2025-12-04T09:19:53.5730423Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T09:19:53.5768194Z ##[endgroup] 2025-12-04T09:19:53.5768905Z ##[group]Setting up auth 2025-12-04T09:19:53.5773376Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T09:19:53.5809869Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-12-04T09:19:53.6336520Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T09:19:53.6366819Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-12-04T09:19:53.6830905Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T09:19:53.6866056Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T09:19:53.7300621Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T09:19:53.7362235Z ##[endgroup] 2025-12-04T09:19:53.7362642Z ##[group]Fetching the repository 2025-12-04T09:19:53.7369417Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T09:20:34.3918517Z From https://github.com/pytorch/pytorch 2025-12-04T09:20:34.3919676Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T09:20:34.3920762Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T09:20:34.3921826Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T09:20:34.3922924Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T09:20:34.3923834Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T09:20:34.3924256Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T09:20:34.3924650Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T09:20:34.3925463Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T09:20:34.3927500Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T09:20:34.3929434Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T09:20:34.3931208Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T09:20:34.3933535Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T09:20:34.3935282Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T09:20:34.3937070Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T09:20:34.3938969Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T09:20:34.3940893Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T09:20:34.3942558Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T09:20:34.3945186Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T09:20:34.3947020Z * [new branch] adi/test -> origin/adi/test 2025-12-04T09:20:34.3948921Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T09:20:34.3950685Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T09:20:34.3952807Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T09:20:34.3954663Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T09:20:34.3956403Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T09:20:34.3958154Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T09:20:34.3960410Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T09:20:34.3963515Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T09:20:34.3965356Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T09:20:34.3967908Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T09:20:34.3969029Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T09:20:34.3971803Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T09:20:34.3973668Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T09:20:34.3975422Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T09:20:34.3977228Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T09:20:34.3978913Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T09:20:34.3980770Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T09:20:34.3982439Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T09:20:34.3984692Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T09:20:34.3986955Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T09:20:34.3988835Z * [new branch] angelayi/side_eff -> 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origin/zhxchen17/precompile/inductor_guards 2025-12-04T09:20:35.3595621Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-12-04T09:20:35.3597356Z * [new branch] zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update 2025-12-04T09:20:35.3599796Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-12-04T09:20:35.3602229Z * [new branch] zxiiro/build-times -> origin/zxiiro/build-times 2025-12-04T09:20:35.3604664Z * [new branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T09:20:35.3606252Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T09:20:35.3608003Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T09:20:35.3609836Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T09:20:35.3611725Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T09:20:35.3613772Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T09:20:35.3614796Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T09:20:35.3616564Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T09:20:35.3617753Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T09:20:35.3618902Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T09:20:35.3620082Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T09:20:35.3621372Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T09:20:35.3622575Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T09:20:35.3623845Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T09:20:35.3625154Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T09:20:35.3626499Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T09:20:35.3627714Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T09:20:35.3628984Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T09:20:35.3630776Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T09:20:35.3632461Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T09:20:35.3633939Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T09:20:35.3635208Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T09:20:35.3636401Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T09:20:35.3637910Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T09:20:35.3639190Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T09:20:35.3640841Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T09:20:35.3641978Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T09:20:35.3643530Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T09:20:35.3644912Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T09:20:35.3646102Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T09:20:35.3647532Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T09:20:35.3648979Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T09:20:35.3650110Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T09:20:35.3651400Z * [new tag] ciflow/dynamo/169525 -> ciflow/dynamo/169525 2025-12-04T09:20:35.3652893Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T09:20:35.3654133Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T09:20:35.3655612Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T09:20:35.3656966Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T09:20:35.3658133Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T09:20:35.3659329Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T09:20:35.3660721Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T09:20:35.3661896Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T09:20:35.3663102Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T09:20:35.3664251Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T09:20:35.3665545Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T09:20:35.3666688Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T09:20:35.3668069Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T09:20:35.3669267Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T09:20:35.3670851Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T09:20:35.3672048Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T09:20:35.3673199Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T09:20:35.3674569Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T09:20:35.3675434Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T09:20:35.3676762Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T09:20:35.3677917Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T09:20:35.3679245Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T09:20:35.3680503Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T09:20:35.3682091Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T09:20:35.3683678Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T09:20:35.3685316Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T09:20:35.3686568Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T09:20:35.3687806Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T09:20:35.3689081Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T09:20:35.3690304Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T09:20:35.3691557Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T09:20:35.3692995Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T09:20:35.3694819Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T09:20:35.3696243Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T09:20:35.3697371Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T09:20:35.3698923Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T09:20:35.3700775Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T09:20:35.3701790Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T09:20:35.3703223Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T09:20:35.3704687Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T09:20:35.3706106Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T09:20:35.3707503Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T09:20:35.3708601Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T09:20:35.3709974Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T09:20:35.3711666Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T09:20:35.3712905Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T09:20:35.3714178Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T09:20:35.3715563Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T09:20:35.3716771Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T09:20:35.3718351Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T09:20:35.3719236Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T09:20:35.3720817Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T09:20:35.3721894Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T09:20:35.3723516Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T09:20:35.3724685Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T09:20:35.3726163Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T09:20:35.3727566Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T09:20:35.3728697Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T09:20:35.3729854Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T09:20:35.3731145Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T09:20:35.3732307Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T09:20:35.3733954Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T09:20:35.3735118Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T09:20:35.3736299Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T09:20:35.3737483Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T09:20:35.3738631Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T09:20:35.3739850Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T09:20:35.3741312Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T09:20:35.3742965Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T09:20:35.3744423Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T09:20:35.3745681Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T09:20:35.3746945Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T09:20:35.3748264Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T09:20:35.3749518Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T09:20:35.3750796Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T09:20:35.3752258Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T09:20:35.3753483Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T09:20:35.3754716Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T09:20:35.3755969Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T09:20:35.3757380Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T09:20:35.3758670Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T09:20:35.3760013Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T09:20:35.3761241Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T09:20:35.3762516Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T09:20:35.3763793Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T09:20:35.3765210Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T09:20:35.3766552Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T09:20:35.3767827Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T09:20:35.3769048Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T09:20:35.3770272Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T09:20:35.3771525Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T09:20:35.3772969Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T09:20:35.3774252Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T09:20:35.3775479Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T09:20:35.3776851Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T09:20:35.3778157Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T09:20:35.3779407Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T09:20:35.3780736Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T09:20:35.3781966Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T09:20:35.3783206Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T09:20:35.3784384Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T09:20:35.3785624Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T09:20:35.3786878Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T09:20:35.3788124Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T09:20:35.3789453Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T09:20:35.3790900Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T09:20:35.3792217Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T09:20:35.3793463Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T09:20:35.3794789Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T09:20:35.3796018Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T09:20:35.3797265Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T09:20:35.3798511Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T09:20:35.3799781Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T09:20:35.3801054Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T09:20:35.3802318Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T09:20:35.3803589Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T09:20:35.3804759Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T09:20:35.3806009Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T09:20:35.3807459Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T09:20:35.3808715Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T09:20:35.3809946Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T09:20:35.3811187Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T09:20:35.3812533Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T09:20:35.3813717Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T09:20:35.3815268Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T09:20:35.3816949Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T09:20:35.3818188Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T09:20:35.3819466Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T09:20:35.3820868Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T09:20:35.3822129Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T09:20:35.3823380Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T09:20:35.3824657Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T09:20:35.3825907Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T09:20:35.3827168Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T09:20:35.3828437Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T09:20:35.3829698Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T09:20:35.3831015Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T09:20:35.3832295Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T09:20:35.3833596Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T09:20:35.3834766Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T09:20:35.3836006Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T09:20:35.3837385Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T09:20:35.3838708Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T09:20:35.3840133Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T09:20:35.3841351Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T09:20:35.3842681Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T09:20:35.3843963Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T09:20:35.3845182Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T09:20:35.3846446Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T09:20:35.3847683Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T09:20:35.3849020Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T09:20:35.3850233Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T09:20:35.3851496Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T09:20:35.3852760Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T09:20:35.3854079Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T09:20:35.3855427Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T09:20:35.3856674Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T09:20:35.3858079Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T09:20:35.3859911Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T09:20:35.3860597Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T09:20:35.3862008Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T09:20:35.3863257Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T09:20:35.3864486Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T09:20:35.3865743Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T09:20:35.3867016Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T09:20:35.3868484Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T09:20:35.3869750Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T09:20:35.3871002Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T09:20:35.3872446Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T09:20:35.3873701Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T09:20:35.3874996Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T09:20:35.3876272Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T09:20:35.3877628Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T09:20:35.3879286Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T09:20:35.3880629Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T09:20:35.3881873Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T09:20:35.3883141Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T09:20:35.3884356Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T09:20:35.3885630Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T09:20:35.3887072Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T09:20:35.3888352Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T09:20:35.3889654Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T09:20:35.3890952Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T09:20:35.3892248Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T09:20:35.3893608Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T09:20:35.3895270Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T09:20:35.3896519Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T09:20:35.3897778Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T09:20:35.3899425Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T09:20:35.3901144Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T09:20:35.3902433Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T09:20:35.3903682Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T09:20:35.3904997Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T09:20:35.3906476Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T09:20:35.3907743Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T09:20:35.3909151Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T09:20:35.3910340Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T09:20:35.3911773Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T09:20:35.3913045Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T09:20:35.3915577Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T09:20:35.3917051Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T09:20:35.3918360Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T09:20:35.3919975Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T09:20:35.3921094Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T09:20:35.3922524Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T09:20:35.3923869Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T09:20:35.3925285Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T09:20:35.3926586Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T09:20:35.3927949Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T09:20:35.3929373Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T09:20:35.3930621Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T09:20:35.3931869Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T09:20:35.3933166Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T09:20:35.3934379Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T09:20:35.3935640Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T09:20:35.3936889Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T09:20:35.3938357Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T09:20:35.3939980Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T09:20:35.3941233Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T09:20:35.3942588Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T09:20:35.3943922Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T09:20:35.3945216Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T09:20:35.3946433Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T09:20:35.3947691Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T09:20:35.3948953Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T09:20:35.3950225Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T09:20:35.3951471Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T09:20:35.3952749Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T09:20:35.3954015Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T09:20:35.3955391Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T09:20:35.3956631Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T09:20:35.3957908Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T09:20:35.3959449Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T09:20:35.3960681Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T09:20:35.3961908Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T09:20:35.3963174Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T09:20:35.3964376Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T09:20:35.3965645Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T09:20:35.3966927Z * [new tag] ciflow/inductor/169557 -> ciflow/inductor/169557 2025-12-04T09:20:35.3968421Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T09:20:35.3969843Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T09:20:35.3971251Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T09:20:35.3972718Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T09:20:35.3973962Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T09:20:35.3975135Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T09:20:35.3976329Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T09:20:35.3977733Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T09:20:35.3978916Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T09:20:35.3980191Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T09:20:35.3981438Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T09:20:35.3982912Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T09:20:35.3984094Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T09:20:35.3985004Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T09:20:35.3986816Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T09:20:35.3988116Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T09:20:35.3989202Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T09:20:35.3990543Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T09:20:35.3991969Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T09:20:35.3993058Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T09:20:35.3994391Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T09:20:35.3996027Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T09:20:35.3997201Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T09:20:35.3998556Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T09:20:35.3999863Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T09:20:35.4001099Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T09:20:35.4002387Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T09:20:35.4003789Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T09:20:35.4005215Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T09:20:35.4006570Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T09:20:35.4008502Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T09:20:35.4010065Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T09:20:35.4011812Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T09:20:35.4013262Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T09:20:35.4014889Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T09:20:35.4016332Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T09:20:35.4017844Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T09:20:35.4019440Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T09:20:35.4020871Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T09:20:35.4022524Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T09:20:35.4023904Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T09:20:35.4025112Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T09:20:35.4026264Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T09:20:35.4027581Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T09:20:35.4028751Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T09:20:35.4030555Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T09:20:35.4031736Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T09:20:35.4033270Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T09:20:35.4034579Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T09:20:35.4035744Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T09:20:35.4036955Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T09:20:35.4038128Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T09:20:35.4039656Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T09:20:35.4040966Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T09:20:35.4042132Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T09:20:35.4043611Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T09:20:35.4044778Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T09:20:35.4046235Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T09:20:35.4047383Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T09:20:35.4048588Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T09:20:35.4049757Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T09:20:35.4050935Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T09:20:35.4052115Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T09:20:35.4053433Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T09:20:35.4054285Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T09:20:35.4055679Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T09:20:35.4056823Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T09:20:35.4057963Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T09:20:35.4059470Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T09:20:35.4061041Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T09:20:35.4062540Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T09:20:35.4063816Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T09:20:35.4065090Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T09:20:35.4066339Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T09:20:35.4067572Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T09:20:35.4068910Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T09:20:35.4070180Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T09:20:35.4071417Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T09:20:35.4072661Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T09:20:35.4073932Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T09:20:35.4075193Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T09:20:35.4076573Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T09:20:35.4077912Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T09:20:35.4079163Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T09:20:35.4080992Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T09:20:35.4082257Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T09:20:35.4083901Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T09:20:35.4085058Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T09:20:35.4086260Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T09:20:35.4087424Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T09:20:35.4088735Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T09:20:35.4090242Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T09:20:35.4091910Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T09:20:35.4093569Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T09:20:35.4095118Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T09:20:35.4096529Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T09:20:35.4097912Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T09:20:35.4099347Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T09:20:35.4101097Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T09:20:35.4102256Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T09:20:35.4103786Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T09:20:35.4105093Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T09:20:35.4106495Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T09:20:35.4107883Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T09:20:35.4109694Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T09:20:35.4111026Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T09:20:35.4112472Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T09:20:35.4113806Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T09:20:35.4115271Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T09:20:35.4116057Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T09:20:35.4117433Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T09:20:35.4118587Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T09:20:35.4119808Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T09:20:35.4120969Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T09:20:35.4122164Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T09:20:35.4123322Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T09:20:35.4124449Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T09:20:35.4126395Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T09:20:35.4128035Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T09:20:35.4129523Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T09:20:35.4130815Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T09:20:35.4132077Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T09:20:35.4133311Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T09:20:35.4134704Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T09:20:35.4135999Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T09:20:35.4137233Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T09:20:35.4138481Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T09:20:35.4139770Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T09:20:35.4141007Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T09:20:35.4142746Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T09:20:35.4144009Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T09:20:35.4145392Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T09:20:35.4146689Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T09:20:35.4147943Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T09:20:35.4149340Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T09:20:35.4150607Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T09:20:35.4151943Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T09:20:35.4153426Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T09:20:35.4154486Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T09:20:35.4155797Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T09:20:35.4157042Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T09:20:35.4158290Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T09:20:35.4159614Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T09:20:35.4160956Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T09:20:35.4162272Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T09:20:35.4163620Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T09:20:35.4164907Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T09:20:35.4166201Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T09:20:35.4167759Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T09:20:35.4169055Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T09:20:35.4170306Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T09:20:35.4171581Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T09:20:35.4173040Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T09:20:35.4174251Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T09:20:35.4175535Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T09:20:35.4176988Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T09:20:35.4178223Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T09:20:35.4179433Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T09:20:35.4180695Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T09:20:35.4181985Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T09:20:35.4183165Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T09:20:35.4184385Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T09:20:35.4185672Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T09:20:35.4186955Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T09:20:35.4188314Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T09:20:35.4189668Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T09:20:35.4191085Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T09:20:35.4192374Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T09:20:35.4193725Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T09:20:35.4195117Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T09:20:35.4196389Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T09:20:35.4197660Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T09:20:35.4198907Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T09:20:35.4200463Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T09:20:35.4201803Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T09:20:35.4203294Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T09:20:35.4204479Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T09:20:35.4205701Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T09:20:35.4207075Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T09:20:35.4208554Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T09:20:35.4209787Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T09:20:35.4211053Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T09:20:35.4212296Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T09:20:35.4213834Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T09:20:35.4215326Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T09:20:35.4216596Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T09:20:35.4217849Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T09:20:35.4219143Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T09:20:35.4220567Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T09:20:35.4221843Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T09:20:35.4223143Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T09:20:35.4224432Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T09:20:35.4225793Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T09:20:35.4227455Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T09:20:35.4228730Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T09:20:35.4230019Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T09:20:35.4231231Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T09:20:35.4232570Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T09:20:35.4233867Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T09:20:35.4235164Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T09:20:35.4236478Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T09:20:35.4237763Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T09:20:35.4239016Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T09:20:35.4240541Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T09:20:35.4241819Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T09:20:35.4243080Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T09:20:35.4244501Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T09:20:35.4245801Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T09:20:35.4247061Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T09:20:35.4248325Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T09:20:35.4249581Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T09:20:35.4250887Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T09:20:35.4252267Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T09:20:35.4253346Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T09:20:35.4254665Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T09:20:35.4256031Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T09:20:35.4257470Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T09:20:35.4259152Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T09:20:35.4260608Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T09:20:35.4261864Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T09:20:35.4262999Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T09:20:35.4264173Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T09:20:35.4265354Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T09:20:35.4266848Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T09:20:35.4267996Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T09:20:35.4269184Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T09:20:35.4270440Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T09:20:35.4271651Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T09:20:35.4272803Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T09:20:35.4274036Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T09:20:35.4275198Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T09:20:35.4276412Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T09:20:35.4277582Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T09:20:35.4278758Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T09:20:35.4280405Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T09:20:35.4282103Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T09:20:35.4283566Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T09:20:35.4284801Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T09:20:35.4286038Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T09:20:35.4287282Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T09:20:35.4288609Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T09:20:35.4289846Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T09:20:35.4291100Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T09:20:35.4292502Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T09:20:35.4293754Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T09:20:35.4295083Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T09:20:35.4296412Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T09:20:35.4297692Z * [new tag] cslpull75 -> cslpull75 2025-12-04T09:20:35.4298931Z * [new tag] cslpull76 -> cslpull76 2025-12-04T09:20:35.4300163Z * [new tag] cslpull77 -> cslpull77 2025-12-04T09:20:35.4301500Z * [new tag] cslpull78 -> cslpull78 2025-12-04T09:20:35.4302990Z * [new tag] cslpull79 -> cslpull79 2025-12-04T09:20:35.4304535Z * [new tag] cslpull80 -> cslpull80 2025-12-04T09:20:35.4306303Z * [new tag] cslpull81 -> cslpull81 2025-12-04T09:20:35.4307629Z * [new tag] cslpull82 -> cslpull82 2025-12-04T09:20:35.4309030Z * [new tag] cslpull83 -> cslpull83 2025-12-04T09:20:35.4310352Z * [new tag] cslpull84 -> cslpull84 2025-12-04T09:20:35.4311644Z * [new tag] cslpull85 -> cslpull85 2025-12-04T09:20:35.4313041Z * [new tag] cslpull86 -> cslpull86 2025-12-04T09:20:35.4315667Z * [new tag] cslpull87 -> cslpull87 2025-12-04T09:20:35.4317037Z * [new tag] cslpull88 -> cslpull88 2025-12-04T09:20:35.4318388Z * [new tag] cslpull89 -> cslpull89 2025-12-04T09:20:35.4319628Z * [new tag] cslpull90 -> cslpull90 2025-12-04T09:20:35.4321333Z * [new tag] cslpull91 -> cslpull91 2025-12-04T09:20:35.4322583Z * [new tag] cslpull92 -> cslpull92 2025-12-04T09:20:35.4324053Z * [new tag] flight_5 -> flight_5 2025-12-04T09:20:35.4325568Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T09:20:35.4326860Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T09:20:35.4328373Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T09:20:35.4329745Z * [new tag] forpull1 -> forpull1 2025-12-04T09:20:35.4331334Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T09:20:35.4332633Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T09:20:35.4333912Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T09:20:35.4335306Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T09:20:35.4336669Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T09:20:35.4338177Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T09:20:35.4339881Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T09:20:35.4341203Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T09:20:35.4342877Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T09:20:35.4344461Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T09:20:35.4345866Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T09:20:35.4347206Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T09:20:35.4348672Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T09:20:35.4350178Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T09:20:35.4351784Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T09:20:35.4353370Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T09:20:35.4354582Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T09:20:35.4355990Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T09:20:35.4357344Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T09:20:35.4358801Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T09:20:35.4360447Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T09:20:35.4361944Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T09:20:35.4363289Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T09:20:35.4364641Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T09:20:35.4365988Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T09:20:35.4367316Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T09:20:35.4368721Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T09:20:35.4370133Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T09:20:35.4371310Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T09:20:35.4372748Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T09:20:35.4374240Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T09:20:35.4375647Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T09:20:35.4377086Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T09:20:35.4378487Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T09:20:35.4380005Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T09:20:35.4381296Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T09:20:35.4382650Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T09:20:35.4384022Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T09:20:35.4385432Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T09:20:35.4386863Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T09:20:35.4388019Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T09:20:35.4389526Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T09:20:35.4390967Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T09:20:35.4392351Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T09:20:35.4393734Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T09:20:35.4395153Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T09:20:35.4396549Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T09:20:35.4397971Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T09:20:35.4399358Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T09:20:35.4400819Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T09:20:35.4402199Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T09:20:35.4403632Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T09:20:35.4405024Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T09:20:35.4406812Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T09:20:35.4408261Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T09:20:35.4409637Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T09:20:35.4410979Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T09:20:35.4412365Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T09:20:35.4413946Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T09:20:35.4415395Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T09:20:35.4416693Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T09:20:35.4418366Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T09:20:35.4419634Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T09:20:35.4421064Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T09:20:35.4422469Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T09:20:35.4423856Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T09:20:35.4425020Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T09:20:35.4426605Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T09:20:35.4428129Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T09:20:35.4429824Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T09:20:35.4431232Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T09:20:35.4432592Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T09:20:35.4433979Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T09:20:35.4435494Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T09:20:35.4436852Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T09:20:35.4438273Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T09:20:35.4439900Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T09:20:35.4441278Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T09:20:35.4442438Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T09:20:35.4444071Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T09:20:35.4445525Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T09:20:35.4446693Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T09:20:35.4448386Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T09:20:35.4449763Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T09:20:35.4451185Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T09:20:35.4452509Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T09:20:35.4453848Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T09:20:35.4455315Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T09:20:35.4456738Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T09:20:35.4458098Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T09:20:35.4459459Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T09:20:35.4460842Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T09:20:35.4462265Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T09:20:35.4463727Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T09:20:35.4465109Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T09:20:35.4466605Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T09:20:35.4467909Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T09:20:35.4469259Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T09:20:35.4470666Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T09:20:35.4472142Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T09:20:35.4473359Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T09:20:35.4474895Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T09:20:35.4476301Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T09:20:35.4477743Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T09:20:35.4479168Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T09:20:35.4480638Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T09:20:35.4482012Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T09:20:35.4483444Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T09:20:35.4484922Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T09:20:35.4485967Z * [new tag] trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f -> trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f 2025-12-04T09:20:35.4487581Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T09:20:35.4489052Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T09:20:35.4490438Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T09:20:35.4491611Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T09:20:35.4493112Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T09:20:35.4494503Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T09:20:35.4495888Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T09:20:35.4497925Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T09:20:35.4499204Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T09:20:35.4501139Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T09:20:35.4502562Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T09:20:35.4503632Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T09:20:35.4504960Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T09:20:35.4505784Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T09:20:35.4507342Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T09:20:35.4508927Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T09:20:35.4510614Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T09:20:35.4511925Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T09:20:35.4513219Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T09:20:35.4514992Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T09:20:35.4516372Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T09:20:35.4517778Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T09:20:35.4519364Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T09:20:35.4520851Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T09:20:35.4522301Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T09:20:35.4523518Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T09:20:35.4524825Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T09:20:35.4526333Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T09:20:35.4527889Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T09:20:35.4529266Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T09:20:35.4530676Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T09:20:35.4532146Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T09:20:35.4533527Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T09:20:35.4534935Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T09:20:35.4536333Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T09:20:35.4537830Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T09:20:35.4539453Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T09:20:35.4540821Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T09:20:35.4542557Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T09:20:35.4543961Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T09:20:35.4545437Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T09:20:35.4546869Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T09:20:35.4548156Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T09:20:35.4549703Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T09:20:35.4551124Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T09:20:35.4552488Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T09:20:35.4553869Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T09:20:35.4555156Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T09:20:35.4556632Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T09:20:35.4558125Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T09:20:35.4559631Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T09:20:35.4561099Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T09:20:35.4562558Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T09:20:35.4564014Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T09:20:35.4565538Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T09:20:35.4566941Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T09:20:35.4568455Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T09:20:35.4569891Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T09:20:35.4571427Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T09:20:35.4572749Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T09:20:35.4574309Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T09:20:35.4575775Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T09:20:35.4577285Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T09:20:35.4578706Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T09:20:35.4580345Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T09:20:35.4581780Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T09:20:35.4583168Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T09:20:35.4584806Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T09:20:35.4586279Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T09:20:35.4587816Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T09:20:35.4589227Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T09:20:35.4591046Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T09:20:35.4592683Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T09:20:35.4594334Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T09:20:35.4595647Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T09:20:35.4597162Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T09:20:35.4598638Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T09:20:35.4600142Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T09:20:35.4601554Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T09:20:35.4602971Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T09:20:35.4604524Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T09:20:35.4605984Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T09:20:35.4607346Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T09:20:35.4608831Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T09:20:35.4610305Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T09:20:35.4611755Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T09:20:35.4613180Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T09:20:35.4614919Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T09:20:35.4616413Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T09:20:35.4617857Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T09:20:35.4619370Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T09:20:35.4620813Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T09:20:35.4622213Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T09:20:35.4623864Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T09:20:35.4625316Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T09:20:35.4626663Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T09:20:35.4628270Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T09:20:35.4629734Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T09:20:35.4631191Z * [new tag] trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 2025-12-04T09:20:35.4632679Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T09:20:35.4634159Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T09:20:35.4635594Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T09:20:35.4637407Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T09:20:35.4639117Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T09:20:35.4640645Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T09:20:35.4642050Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T09:20:35.4643459Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T09:20:35.4644920Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T09:20:35.4646368Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T09:20:35.4647716Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T09:20:35.4649162Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T09:20:35.4650619Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T09:20:35.4651957Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T09:20:35.4653418Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T09:20:35.4654966Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T09:20:35.4656802Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T09:20:35.4658270Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T09:20:35.4660023Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:20:35.4660777Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T09:20:35.4662365Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T09:20:35.4663670Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T09:20:35.4665062Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T09:20:35.4666410Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T09:20:35.4667780Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T09:20:35.4669071Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T09:20:35.4670399Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T09:20:35.4671756Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T09:20:35.4673075Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T09:20:35.4674286Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T09:20:35.4675589Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T09:20:35.4676951Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T09:20:35.4678371Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T09:20:35.4679872Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T09:20:35.4681252Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T09:20:35.4682568Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T09:20:35.4683970Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T09:20:35.4685340Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T09:20:35.4686711Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T09:20:35.4688122Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T09:20:35.4689286Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T09:20:35.4690666Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T09:20:35.4692054Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T09:20:35.4693569Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T09:20:35.4695011Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T09:20:35.4696349Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T09:20:35.4697519Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T09:20:35.4698919Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T09:20:35.4700075Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T09:20:35.4701254Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T09:20:35.4702394Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T09:20:35.4703785Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T09:20:35.4705396Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T09:20:35.4706808Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T09:20:35.4708216Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T09:20:35.4709649Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T09:20:35.4711063Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T09:20:35.4712213Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T09:20:35.4713536Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T09:20:35.4716639Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T09:20:35.4717845Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T09:20:35.4719259Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T09:20:35.4720664Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T09:20:35.4722480Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T09:20:35.4723849Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T09:20:35.4725423Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T09:20:35.4726593Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T09:20:35.4727614Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T09:20:35.4729048Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T09:20:35.4730483Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T09:20:35.4731861Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T09:20:35.4733842Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T09:20:35.4735243Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T09:20:35.4736381Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T09:20:35.4737853Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T09:20:35.4739236Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T09:20:35.4740555Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T09:20:35.4741865Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T09:20:35.4743363Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T09:20:35.4744500Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T09:20:35.4745716Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T09:20:35.4747097Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T09:20:35.4748254Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T09:20:35.4749603Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T09:20:35.4751007Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T09:20:35.4752343Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T09:20:35.4753697Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T09:20:35.4754932Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T09:20:35.4756305Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T09:20:35.4757665Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T09:20:35.4758823Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T09:20:35.4760383Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T09:20:35.4761760Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T09:20:35.4763136Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T09:20:35.4764553Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T09:20:35.4765832Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T09:20:35.4767033Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T09:20:35.4768417Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T09:20:35.4769621Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T09:20:35.4770783Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T09:20:35.4772285Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T09:20:35.4773792Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T09:20:35.4775149Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T09:20:35.4776445Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T09:20:35.4777828Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T09:20:35.4779174Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T09:20:35.4780331Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T09:20:35.4781756Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T09:20:35.4783156Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T09:20:35.4784572Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T09:20:35.4785940Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T09:20:35.4787151Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T09:20:35.4788541Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T09:20:35.4790032Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T09:20:35.4791443Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T09:20:35.4792643Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T09:20:35.4794056Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T09:20:35.4795225Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T09:20:35.4796648Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T09:20:35.4798025Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T09:20:35.4799394Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T09:20:35.4800601Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T09:20:35.4801746Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T09:20:35.4803154Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T09:20:35.4804324Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T09:20:35.4805497Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T09:20:35.4807319Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T09:20:35.4808940Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T09:20:35.4810378Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T09:20:35.4811740Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T09:20:35.4813182Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T09:20:35.4814835Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T09:20:35.4816088Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T09:20:35.4817503Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T09:20:35.4819034Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T09:20:35.4820236Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T09:20:35.4821653Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T09:20:35.4822996Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T09:20:35.4824393Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T09:20:35.4825963Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T09:20:35.4827314Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T09:20:35.4828700Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T09:20:35.4830049Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T09:20:35.4831344Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T09:20:35.4832767Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T09:20:35.4833933Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T09:20:35.4835239Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T09:20:35.4836439Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T09:20:35.4838240Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T09:20:35.4839663Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T09:20:35.4841117Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T09:20:35.4842571Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T09:20:35.4844012Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T09:20:35.4845386Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T09:20:35.4846571Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T09:20:35.4848058Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T09:20:35.4849549Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T09:20:35.4850935Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T09:20:35.4852402Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T09:20:35.4853892Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T09:20:35.4855197Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T09:20:35.4856377Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T09:20:35.4857729Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T09:20:35.4859184Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T09:20:35.4860693Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T09:20:35.4861841Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T09:20:35.4863254Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T09:20:35.4864592Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T09:20:35.4865874Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T09:20:35.4867241Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T09:20:35.4868615Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T09:20:35.4869997Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T09:20:35.4871417Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T09:20:35.4872609Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T09:20:35.4873795Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T09:20:35.4875246Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T09:20:35.4876641Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T09:20:35.4877798Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T09:20:35.4878961Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T09:20:35.4880299Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T09:20:35.4885959Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T09:20:35.4886210Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T09:20:35.4886343Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T09:20:35.4886577Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T09:20:35.4886753Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T09:20:35.4888445Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T09:20:35.4889787Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T09:20:35.4890989Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T09:20:35.4892379Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T09:20:35.4893812Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T09:20:35.4895210Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T09:20:35.4896964Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T09:20:35.4898183Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T09:20:35.4899560Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T09:20:35.4900902Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T09:20:35.4902141Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T09:20:35.4903359Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T09:20:35.4904747Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T09:20:35.4906114Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T09:20:35.4907566Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T09:20:35.4908911Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T09:20:35.4910298Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T09:20:35.4911647Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T09:20:35.4913027Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T09:20:35.4914576Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T09:20:35.4915998Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T09:20:35.4917593Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T09:20:35.4919063Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T09:20:35.4920529Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T09:20:35.4921952Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T09:20:35.4923132Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T09:20:35.4924604Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T09:20:35.4925998Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T09:20:35.4927366Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T09:20:35.4928815Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T09:20:35.4930167Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T09:20:35.4931323Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T09:20:35.4932661Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T09:20:35.4934011Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T09:20:35.4935447Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T09:20:35.4936805Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T09:20:35.4938322Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T09:20:35.4939661Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T09:20:35.4941084Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T09:20:35.4942635Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T09:20:35.4943525Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T09:20:35.4944851Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T09:20:35.4946034Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T09:20:35.4947510Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T09:20:35.4948901Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T09:20:35.4950340Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T09:20:35.4951734Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T09:20:35.4953245Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T09:20:35.4954635Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T09:20:35.4956068Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T09:20:35.4957648Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T09:20:35.4959034Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T09:20:35.4960713Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T09:20:35.4962030Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T09:20:35.4963237Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T09:20:35.4964704Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T09:20:35.4966122Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T09:20:35.4967550Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T09:20:35.4968941Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T09:20:35.4970254Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T09:20:35.4971696Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T09:20:35.4973091Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T09:20:35.4974540Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T09:20:35.4975705Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T09:20:35.4977146Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T09:20:35.4978552Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T09:20:35.4980008Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T09:20:35.4981416Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T09:20:35.4982805Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T09:20:35.4984053Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T09:20:35.4986005Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T09:20:35.4987343Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T09:20:35.4988953Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T09:20:35.4990376Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T09:20:35.4991860Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T09:20:35.4993331Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T09:20:35.4994657Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T09:20:35.4996093Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T09:20:35.4997570Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T09:20:35.4998924Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T09:20:35.5000659Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T09:20:35.5001995Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T09:20:35.5003649Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T09:20:35.5005045Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T09:20:35.5006458Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T09:20:35.5007893Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T09:20:35.5009518Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T09:20:35.5010944Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T09:20:35.5012551Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T09:20:35.5014113Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T09:20:35.5015404Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T09:20:35.5016810Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T09:20:35.5018295Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T09:20:35.5020557Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T09:20:35.5021998Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T09:20:35.5023271Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T09:20:35.5024583Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T09:20:35.5025915Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T09:20:35.5027217Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T09:20:35.5028527Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T09:20:35.5029851Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T09:20:35.5031181Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T09:20:35.5032804Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T09:20:35.5034495Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T09:20:35.5035900Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T09:20:35.5037405Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T09:20:35.5038830Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T09:20:35.5040297Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T09:20:35.5041804Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T09:20:35.5043191Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T09:20:35.5044663Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T09:20:35.5046253Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T09:20:35.5047405Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T09:20:35.5049028Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T09:20:35.5050455Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T09:20:35.5051761Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T09:20:35.5053218Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T09:20:35.5054563Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T09:20:35.5056128Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T09:20:35.5057378Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T09:20:35.5058738Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T09:20:35.5060187Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T09:20:35.5061640Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T09:20:35.5063019Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T09:20:35.5064528Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T09:20:35.5065956Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T09:20:35.5067487Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T09:20:35.5068881Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T09:20:35.5070256Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T09:20:35.5071749Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T09:20:35.5073156Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T09:20:35.5074550Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T09:20:35.5075963Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T09:20:35.5077333Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T09:20:35.5078729Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T09:20:35.5080270Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T09:20:35.5081664Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T09:20:35.5083159Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T09:20:35.5084711Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T09:20:35.5086131Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T09:20:35.5087536Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T09:20:35.5089022Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T09:20:35.5090394Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T09:20:35.5091795Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T09:20:35.5093175Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T09:20:35.5094715Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T09:20:35.5096102Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T09:20:35.5097478Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T09:20:35.5098876Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T09:20:35.5100346Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T09:20:35.5101666Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T09:20:35.5103198Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T09:20:35.5104616Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T09:20:35.5105934Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T09:20:35.5107462Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T09:20:35.5108780Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T09:20:35.5110351Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T09:20:35.5112267Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T09:20:35.5113804Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T09:20:35.5116762Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T09:20:35.5118227Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T09:20:35.5119744Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T09:20:35.5120998Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T09:20:35.5122413Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T09:20:35.5123927Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T09:20:35.5125402Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T09:20:35.5126892Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T09:20:35.5128304Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T09:20:35.5129569Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T09:20:35.5131038Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T09:20:35.5132436Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T09:20:35.5133886Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T09:20:35.5135319Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T09:20:35.5136707Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T09:20:35.5138103Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T09:20:35.5139533Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T09:20:35.5140921Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T09:20:35.5142478Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T09:20:35.5143890Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T09:20:35.5145269Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T09:20:35.5146646Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T09:20:35.5148120Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T09:20:35.5149478Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T09:20:35.5150903Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T09:20:35.5152548Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T09:20:35.5153940Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T09:20:35.5155375Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T09:20:35.5156782Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T09:20:35.5158020Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T09:20:35.5159475Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T09:20:35.5161108Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T09:20:35.5162404Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T09:20:35.5163778Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T09:20:35.5165203Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T09:20:35.5166756Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T09:20:35.5168174Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T09:20:35.5169595Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T09:20:35.5170874Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T09:20:35.5172362Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T09:20:35.5173783Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T09:20:35.5175279Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T09:20:35.5176766Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T09:20:35.5178209Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T09:20:35.5179675Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T09:20:35.5181095Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T09:20:35.5182451Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T09:20:35.5183844Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T09:20:35.5185277Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T09:20:35.5186771Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T09:20:35.5188180Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T09:20:35.5189553Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T09:20:35.5190991Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T09:20:35.5192554Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T09:20:35.5193934Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T09:20:35.5195321Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T09:20:35.5196722Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T09:20:35.5198146Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T09:20:35.5199746Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T09:20:35.5201193Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T09:20:35.5202547Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T09:20:35.5203995Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T09:20:35.5205853Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T09:20:35.5207272Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T09:20:35.5208856Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T09:20:35.5210150Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T09:20:35.5211389Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T09:20:35.5213071Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T09:20:35.5214567Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T09:20:35.5215953Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T09:20:35.5217402Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T09:20:35.5218854Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T09:20:35.5220260Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T09:20:35.5221819Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T09:20:35.5223296Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T09:20:35.5224733Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T09:20:35.5226445Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T09:20:35.5227853Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T09:20:35.5229317Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T09:20:35.5230740Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T09:20:35.5232217Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T09:20:35.5234068Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T09:20:35.5235453Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T09:20:35.5236728Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T09:20:35.5238155Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T09:20:35.5239711Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T09:20:35.5241089Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T09:20:35.5242358Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T09:20:35.5243798Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T09:20:35.5245247Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T09:20:35.5246671Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T09:20:35.5248099Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T09:20:35.5249504Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T09:20:35.5250899Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T09:20:35.5252299Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T09:20:35.5253724Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T09:20:35.5255234Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T09:20:35.5256611Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T09:20:35.5258021Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T09:20:35.5260492Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T09:20:35.5261941Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T09:20:35.5263361Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T09:20:35.5264693Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T09:20:35.5266251Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T09:20:35.5267618Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T09:20:35.5269015Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T09:20:35.5270566Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T09:20:35.5271955Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T09:20:35.5273426Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T09:20:35.5274783Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T09:20:35.5276169Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T09:20:35.5277592Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T09:20:35.5279219Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T09:20:35.5280675Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T09:20:35.5282159Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T09:20:35.5283511Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T09:20:35.5284936Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T09:20:35.5286335Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T09:20:35.5287815Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T09:20:35.5289220Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T09:20:35.5290649Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T09:20:35.5292139Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T09:20:35.5293543Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T09:20:35.5294993Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T09:20:35.5296393Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T09:20:35.5297777Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T09:20:35.5299618Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T09:20:35.5301021Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T09:20:35.5302544Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T09:20:35.5304001Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T09:20:35.5305463Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T09:20:35.5307072Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T09:20:35.5308548Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T09:20:35.5309952Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T09:20:35.5311404Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T09:20:35.5312792Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T09:20:35.5314420Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T09:20:35.5315814Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T09:20:35.5317396Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T09:20:35.5318944Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T09:20:35.5320373Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T09:20:35.5322108Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T09:20:35.5323522Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T09:20:35.5324893Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T09:20:35.5326322Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T09:20:35.5327740Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T09:20:35.5329104Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T09:20:35.5330478Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T09:20:35.5331927Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T09:20:35.5333373Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T09:20:35.5334765Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T09:20:35.5336157Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T09:20:35.5337647Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T09:20:35.5339056Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T09:20:35.5340548Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T09:20:35.5342077Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T09:20:35.5343445Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T09:20:35.5344965Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T09:20:35.5346406Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T09:20:35.5347861Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T09:20:35.5349343Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T09:20:35.5350969Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T09:20:35.5352398Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T09:20:35.5353865Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T09:20:35.5355279Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T09:20:35.5356760Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T09:20:35.5358161Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T09:20:35.5359702Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T09:20:35.5361081Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T09:20:35.5362587Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T09:20:35.5364094Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T09:20:35.5365524Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T09:20:35.5366935Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T09:20:35.5368341Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T09:20:35.5369974Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T09:20:35.5371325Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T09:20:35.5372707Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T09:20:35.5374182Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T09:20:35.5375604Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T09:20:35.5377080Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T09:20:35.5378507Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T09:20:35.5379913Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T09:20:35.5381304Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T09:20:35.5382752Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T09:20:35.5384171Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T09:20:35.5385726Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T09:20:35.5387124Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T09:20:35.5388637Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T09:20:35.5390073Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T09:20:35.5391615Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T09:20:35.5393634Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T09:20:35.5395173Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T09:20:35.5396872Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T09:20:35.5398339Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T09:20:35.5399889Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T09:20:35.5401535Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T09:20:35.5403294Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T09:20:35.5404744Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T09:20:35.5406403Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T09:20:35.5407849Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T09:20:35.5409350Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T09:20:35.5410678Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T09:20:35.5412296Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T09:20:35.5413971Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T09:20:35.5415618Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T09:20:35.5417152Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T09:20:35.5418661Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T09:20:35.5420172Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T09:20:35.5421609Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T09:20:35.5423050Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T09:20:35.5424528Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T09:20:35.5425840Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T09:20:35.5427343Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T09:20:35.5428758Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T09:20:35.5430270Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T09:20:35.5431649Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T09:20:35.5433073Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T09:20:35.5434547Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T09:20:35.5436065Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T09:20:35.5437540Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T09:20:35.5439005Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T09:20:35.5440567Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T09:20:35.5442071Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T09:20:35.5443352Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T09:20:35.5444624Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T09:20:35.5446081Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T09:20:35.5447564Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T09:20:35.5448978Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T09:20:35.5450570Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T09:20:35.5452083Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T09:20:35.5453539Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T09:20:35.5454935Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T09:20:35.5456432Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T09:20:35.5457899Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T09:20:35.5459516Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T09:20:35.5461030Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T09:20:35.5462536Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T09:20:35.5464135Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T09:20:35.5465685Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T09:20:35.5467161Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T09:20:35.5468644Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T09:20:35.5470156Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T09:20:35.5471723Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T09:20:35.5473315Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T09:20:35.5474667Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T09:20:35.5476183Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T09:20:35.5477755Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T09:20:35.5479213Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T09:20:35.5480793Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T09:20:35.5482610Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T09:20:35.5484116Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T09:20:35.5485577Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T09:20:35.5487100Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T09:20:35.5488650Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T09:20:35.5490533Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T09:20:35.5492038Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T09:20:35.5493528Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T09:20:35.5495205Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T09:20:35.5496652Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T09:20:35.5498124Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T09:20:35.5499612Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T09:20:35.5501114Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T09:20:35.5502601Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T09:20:35.5504035Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T09:20:35.5505708Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T09:20:35.5507382Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T09:20:35.5508980Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T09:20:35.5510463Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T09:20:35.5511985Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T09:20:35.5513632Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T09:20:35.5516602Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T09:20:35.5518145Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T09:20:35.5519695Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T09:20:35.5521290Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T09:20:35.5522765Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T09:20:35.5524288Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T09:20:35.5525836Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T09:20:35.5527356Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T09:20:35.5528886Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T09:20:35.5530382Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T09:20:35.5531855Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T09:20:35.5533424Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T09:20:35.5535023Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T09:20:35.5536438Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T09:20:35.5537896Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T09:20:35.5539512Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T09:20:35.5540990Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T09:20:35.5542455Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T09:20:35.5544081Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T09:20:35.5545667Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T09:20:35.5547177Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T09:20:35.5548692Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T09:20:35.5550191Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T09:20:35.5551695Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T09:20:35.5553132Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T09:20:35.5554618Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T09:20:35.5556155Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T09:20:35.5557690Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T09:20:35.5559234Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T09:20:35.5560753Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T09:20:35.5562099Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T09:20:35.5563920Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T09:20:35.5565432Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T09:20:35.5566878Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T09:20:35.5568349Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T09:20:35.5570034Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T09:20:35.5571331Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T09:20:35.5572851Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T09:20:35.5574303Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T09:20:35.5575802Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T09:20:35.5577277Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T09:20:35.5578761Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T09:20:35.5580261Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T09:20:35.5581777Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T09:20:35.5583468Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T09:20:35.5585030Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T09:20:35.5586392Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T09:20:35.5587882Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T09:20:35.5590003Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T09:20:35.5591313Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T09:20:35.5592899Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T09:20:35.5594403Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T09:20:35.5595897Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T09:20:35.5597614Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T09:20:35.5599020Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T09:20:35.5600713Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T09:20:35.5602163Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T09:20:35.5603733Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T09:20:35.5605209Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T09:20:35.5606706Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T09:20:35.5608153Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T09:20:35.5609508Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T09:20:35.5610906Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T09:20:35.5612538Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T09:20:35.5614294Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T09:20:35.5615627Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T09:20:35.5617463Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T09:20:35.5618922Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T09:20:35.5620403Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T09:20:35.5622061Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T09:20:35.5623615Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T09:20:35.5625029Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T09:20:35.5626503Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T09:20:35.5628039Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T09:20:35.5629887Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T09:20:35.5631433Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T09:20:35.5632939Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T09:20:35.5634515Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T09:20:35.5636078Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T09:20:35.5637572Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T09:20:35.5639139Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T09:20:35.5640700Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T09:20:35.5642311Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T09:20:35.5643786Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T09:20:35.5645381Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T09:20:35.5646763Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T09:20:35.5648345Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T09:20:35.5649836Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T09:20:35.5651462Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T09:20:35.5653027Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T09:20:35.5654619Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T09:20:35.5656278Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T09:20:35.5657841Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T09:20:35.5659348Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T09:20:35.5660845Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T09:20:35.5662387Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T09:20:35.5663723Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T09:20:35.5665213Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T09:20:35.5666688Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T09:20:35.5668078Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T09:20:35.5669560Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T09:20:35.5671065Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T09:20:35.5672490Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T09:20:35.5674402Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T09:20:35.5676033Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T09:20:35.5677714Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T09:20:35.5678590Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T09:20:35.5680067Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T09:20:35.5681583Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T09:20:35.5683080Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T09:20:35.5684589Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T09:20:35.5686148Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T09:20:35.5688022Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T09:20:35.5689582Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T09:20:35.5691090Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T09:20:35.5692546Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T09:20:35.5694070Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T09:20:35.5695609Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T09:20:35.5697136Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T09:20:35.5698591Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T09:20:35.5700184Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T09:20:35.5701688Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T09:20:35.5703275Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T09:20:35.5704803Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T09:20:35.5706399Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T09:20:35.5707893Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T09:20:35.5709492Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T09:20:35.5711089Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T09:20:35.5712669Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T09:20:35.5714428Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T09:20:35.5716126Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T09:20:35.5717608Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T09:20:35.5719209Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T09:20:35.5720748Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T09:20:35.5722417Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T09:20:35.5723903Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T09:20:35.5725606Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T09:20:35.5726976Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T09:20:35.5728551Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T09:20:35.5730055Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T09:20:35.5731536Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T09:20:35.5733059Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T09:20:35.5734567Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T09:20:35.5736587Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T09:20:35.5738076Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T09:20:35.5739550Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T09:20:35.5740940Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T09:20:35.5742445Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T09:20:35.5743968Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T09:20:35.5745482Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T09:20:35.5747045Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T09:20:35.5748380Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T09:20:35.5749876Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T09:20:35.5751433Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T09:20:35.5752800Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T09:20:35.5754275Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T09:20:35.5756026Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T09:20:35.5757568Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T09:20:35.5759064Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T09:20:35.5760675Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T09:20:35.5762352Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T09:20:35.5763826Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T09:20:35.5765466Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T09:20:35.5766753Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T09:20:35.5768303Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T09:20:35.5769841Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T09:20:35.5771313Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T09:20:35.5772828Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T09:20:35.5774376Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T09:20:35.5775972Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T09:20:35.5777441Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T09:20:35.5778982Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T09:20:35.5780485Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T09:20:35.5782024Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T09:20:35.5783579Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T09:20:35.5785077Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T09:20:35.5786845Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T09:20:35.5788381Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T09:20:35.5789855Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T09:20:35.5791466Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T09:20:35.5793022Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T09:20:35.5794594Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T09:20:35.5796037Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T09:20:35.5797509Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T09:20:35.5799192Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T09:20:35.5800867Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T09:20:35.5802362Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T09:20:35.5803918Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T09:20:35.5805515Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T09:20:35.5807097Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T09:20:35.5808598Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T09:20:35.5810078Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T09:20:35.5811550Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T09:20:35.5812867Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T09:20:35.5814551Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T09:20:35.5816033Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T09:20:35.5817531Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T09:20:35.5819216Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T09:20:35.5820773Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T09:20:35.5822260Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T09:20:35.5823798Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T09:20:35.5825346Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T09:20:35.5827314Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T09:20:35.5828822Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T09:20:35.5830414Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T09:20:35.5831691Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T09:20:35.5833333Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T09:20:35.5834834Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T09:20:35.5836285Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T09:20:35.5837675Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T09:20:35.5839241Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T09:20:35.5840821Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T09:20:35.5842871Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T09:20:35.5844395Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T09:20:35.5845953Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T09:20:35.5847421Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T09:20:35.5848902Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T09:20:35.5850507Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T09:20:35.5852133Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T09:20:35.5853721Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T09:20:35.5855305Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T09:20:35.5856693Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T09:20:35.5858203Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T09:20:35.5859700Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T09:20:35.5861229Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T09:20:35.5862794Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T09:20:35.5864144Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T09:20:35.5865675Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T09:20:35.5867331Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T09:20:35.5868722Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T09:20:35.5870276Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T09:20:35.5871857Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T09:20:35.5873479Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T09:20:35.5874960Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T09:20:35.5876485Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T09:20:35.5877857Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T09:20:35.5879430Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T09:20:35.5881025Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T09:20:35.5882373Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T09:20:35.5883772Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T09:20:35.5885572Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T09:20:35.5887071Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T09:20:35.5888629Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T09:20:35.5890118Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T09:20:35.5891709Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T09:20:35.5893302Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T09:20:35.5894867Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T09:20:35.5896396Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T09:20:35.5897977Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T09:20:35.5899467Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T09:20:35.5900988Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T09:20:35.5902325Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T09:20:35.5904058Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T09:20:35.5905464Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T09:20:35.5907029Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T09:20:35.5908531Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T09:20:35.5910075Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T09:20:35.5911522Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T09:20:35.5913113Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T09:20:35.5916323Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T09:20:35.5917851Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T09:20:35.5919401Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T09:20:35.5920911Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T09:20:35.5922504Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T09:20:35.5924353Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T09:20:35.5925709Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T09:20:35.5927218Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T09:20:35.5928865Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T09:20:35.5930363Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T09:20:35.5931959Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T09:20:35.5933275Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T09:20:35.5934852Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T09:20:35.5936320Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T09:20:35.5937850Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T09:20:35.5939173Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T09:20:35.5940702Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T09:20:35.5942209Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T09:20:35.5943776Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T09:20:35.5945300Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T09:20:35.5946834Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T09:20:35.5948282Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T09:20:35.5949779Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T09:20:35.5951235Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T09:20:35.5952747Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T09:20:35.5954308Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T09:20:35.5955804Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T09:20:35.5957286Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T09:20:35.5958801Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T09:20:35.5960476Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T09:20:35.5961947Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T09:20:35.5963438Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T09:20:35.5965025Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T09:20:35.5966526Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T09:20:35.5967983Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T09:20:35.5969323Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T09:20:35.5970842Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T09:20:35.5972456Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T09:20:35.5973945Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T09:20:35.5975412Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T09:20:35.5977130Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T09:20:35.5978558Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T09:20:35.5979970Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T09:20:35.5981508Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T09:20:35.5983078Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T09:20:35.5984952Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T09:20:35.5986442Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T09:20:35.5988136Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T09:20:35.5989635Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T09:20:35.5991106Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T09:20:35.5992614Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T09:20:35.5994135Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T09:20:35.5995623Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T09:20:35.5997131Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T09:20:35.5998641Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T09:20:35.6000108Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T09:20:35.6001705Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T09:20:35.6003237Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T09:20:35.6004590Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T09:20:35.6006095Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T09:20:35.6007616Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T09:20:35.6009050Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T09:20:35.6010564Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T09:20:35.6012033Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T09:20:35.6013594Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T09:20:35.6015271Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T09:20:35.6016604Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T09:20:35.6018111Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T09:20:35.6019792Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T09:20:35.6021355Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T09:20:35.6022714Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T09:20:35.6024111Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T09:20:35.6025624Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T09:20:35.6027074Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T09:20:35.6028421Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T09:20:35.6029763Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T09:20:35.6031136Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T09:20:35.6032606Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T09:20:35.6033856Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T09:20:35.6035155Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T09:20:35.6036563Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T09:20:35.6037883Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T09:20:35.6039267Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T09:20:35.6040716Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T09:20:35.6042059Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T09:20:35.6043369Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T09:20:35.6044682Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T09:20:35.6045997Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T09:20:35.6047318Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T09:20:35.6048749Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T09:20:35.6050109Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T09:20:35.6051440Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T09:20:35.6052786Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T09:20:35.6054192Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T09:20:35.6055655Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T09:20:35.6057166Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T09:20:35.6058702Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T09:20:35.7118463Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T09:20:35.7150260Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:20:35.7155349Z ##[endgroup] 2025-12-04T09:20:35.7155769Z ##[group]Determining the checkout info 2025-12-04T09:20:35.7156870Z ##[endgroup] 2025-12-04T09:20:35.7161399Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T09:20:35.7208699Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T09:20:35.7246555Z ##[group]Checking out the ref 2025-12-04T09:20:35.7249693Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:20:36.7469285Z Updating files: 70% (14281/20121) 2025-12-04T09:20:36.7535709Z Updating files: 71% (14286/20121) 2025-12-04T09:20:36.7626653Z Updating files: 72% (14488/20121) 2025-12-04T09:20:36.7832745Z 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HEAD' state. You can look around, make experimental 2025-12-04T09:20:37.3641331Z changes and commit them, and you can discard any commits you make in this 2025-12-04T09:20:37.3642249Z state without impacting any branches by switching back to a branch. 2025-12-04T09:20:37.3642787Z 2025-12-04T09:20:37.3643134Z If you want to create a new branch to retain commits you create, you may 2025-12-04T09:20:37.3644008Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T09:20:37.3644536Z 2025-12-04T09:20:37.3644774Z git switch -c 2025-12-04T09:20:37.3645184Z 2025-12-04T09:20:37.3645419Z Or undo this operation with: 2025-12-04T09:20:37.3645790Z 2025-12-04T09:20:37.3645980Z git switch - 2025-12-04T09:20:37.3646251Z 2025-12-04T09:20:37.3646558Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T09:20:37.3646855Z 2025-12-04T09:20:37.3647073Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T09:20:37.3775636Z ##[endgroup] 2025-12-04T09:20:37.3776382Z ##[group]Setting up auth for fetching submodules 2025-12-04T09:20:37.3783043Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T09:20:37.3846904Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T09:20:37.3886950Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T09:20:37.3927254Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T09:20:37.3956418Z ##[endgroup] 2025-12-04T09:20:37.3957146Z ##[group]Fetching submodules 2025-12-04T09:20:37.3959249Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T09:20:37.4433973Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T09:20:37.4901734Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T09:20:37.4903783Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T09:20:37.4906634Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T09:20:37.4910288Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T09:20:37.4914208Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T09:20:37.4918804Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T09:20:37.4922590Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T09:20:37.4926691Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T09:20:37.4930661Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T09:20:37.4935299Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T09:20:37.4940072Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T09:20:37.4944468Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T09:20:37.4948196Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T09:20:37.4952637Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T09:20:37.4957265Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T09:20:37.4964009Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T09:20:37.4972684Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T09:20:37.4976767Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T09:20:37.4981984Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:20:37.4987010Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T09:20:37.4992376Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T09:20:37.4997538Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T09:20:37.5002976Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T09:20:37.5008215Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T09:20:37.5013839Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T09:20:37.5020639Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T09:20:37.5025811Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T09:20:37.5030747Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T09:20:37.5037558Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T09:20:37.5043379Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T09:20:37.5050281Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T09:20:37.5054431Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T09:20:37.5061190Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T09:20:37.5069494Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T09:20:37.5076986Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T09:20:37.5082966Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T09:20:37.5088561Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T09:20:37.5130407Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T09:20:37.7206793Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T09:20:37.7207508Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T09:20:37.7208465Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T09:20:37.7328875Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T09:20:37.7349195Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T09:20:38.0190002Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T09:20:38.0190929Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T09:20:38.0191797Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T09:20:38.0192352Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T09:20:38.0192897Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T09:20:38.0193860Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T09:20:38.0194844Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T09:20:38.0195776Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T09:20:38.0196661Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T09:20:38.0265285Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T09:20:39.0666335Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T09:20:39.0667350Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T09:20:39.0668439Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T09:20:39.0669969Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T09:20:39.0670963Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T09:20:39.0672160Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T09:20:39.0673162Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T09:20:39.0674056Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T09:20:39.0674914Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T09:20:39.0675787Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T09:20:39.0676733Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T09:20:39.0677632Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T09:20:39.1668068Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T09:20:51.2268767Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T09:20:51.2271430Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T09:20:51.2272775Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T09:20:51.2274042Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T09:20:51.2275220Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T09:20:51.2275761Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T09:20:51.2276266Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T09:20:51.3268760Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T09:20:52.1416898Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T09:20:52.1607371Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T09:20:52.1760404Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T09:20:52.2118582Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T09:20:52.3101293Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T09:20:52.3747723Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T09:20:53.3252401Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T09:20:53.5309164Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T09:20:53.5342327Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:20:53.5380531Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T09:20:58.1387972Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T09:20:58.1722775Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T09:20:58.6147220Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T09:20:58.6741074Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T09:20:58.7809959Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T09:20:58.8368951Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T09:20:59.5971218Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T09:20:59.7875429Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T09:20:59.7907226Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T09:20:59.7910815Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:20:59.7912564Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:20:59.7916955Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T09:20:59.7922130Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T09:20:59.7926495Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:20:59.7930713Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T09:20:59.7973603Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T09:21:00.8226104Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T09:21:00.8227297Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T09:21:00.8228397Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T09:21:00.9226631Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T09:21:04.1225472Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T09:21:04.2225757Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T09:21:05.5272926Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T09:21:05.9735346Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T09:21:06.0856526Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T09:21:06.8283538Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T09:21:06.8822358Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T09:21:06.8993515Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T09:21:07.0242331Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T09:21:07.1163051Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T09:21:07.1189335Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:21:07.1191453Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:21:07.1230243Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T09:21:11.4392156Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T09:21:11.7621687Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T09:21:12.4161848Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T09:21:12.5921505Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T09:21:12.6283806Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T09:21:12.6740717Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T09:21:12.7104299Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T09:21:12.7624731Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T09:21:12.7823809Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T09:21:12.7851221Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T09:21:12.7893801Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T09:21:27.6848291Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T09:21:27.7134243Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T09:21:27.8051790Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T09:21:27.8083425Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:21:27.8085696Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:21:27.8088860Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:21:27.8131013Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T09:21:28.4332633Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T09:21:28.7951005Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T09:21:28.8966649Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T09:21:28.8992749Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:21:28.8995064Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:21:28.8998495Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:21:28.9002477Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:21:28.9006487Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:21:28.9010683Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:21:28.9016525Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:21:28.9020193Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:21:28.9024534Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:21:28.9069618Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T09:21:30.9675750Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T09:21:30.9677918Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T09:21:30.9680302Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T09:21:30.9682351Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T09:21:30.9683638Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T09:21:30.9684514Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T09:21:30.9685377Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T09:21:31.0675504Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T09:21:35.0032739Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T09:21:35.0297729Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T09:21:35.0748243Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T09:21:35.0944896Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T09:21:35.0977795Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 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'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:21:55.5569745Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:21:55.5649992Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:21:55.5717178Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:21:55.5795558Z Entering 'third_party/kleidiai' 2025-12-04T09:21:55.5866541Z Entering 'third_party/mimalloc' 2025-12-04T09:21:55.5935272Z Entering 'third_party/nlohmann' 2025-12-04T09:21:55.6006561Z Entering 'third_party/onnx' 2025-12-04T09:21:55.6088390Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:21:55.6165155Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:21:55.6222013Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:21:55.6286258Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:21:55.6349312Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:21:55.6415333Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:21:55.6472824Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:21:55.6530767Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:21:55.6595315Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:21:55.6660575Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:21:55.6729351Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:21:55.6793959Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:21:55.6878503Z Entering 'third_party/pocketfft' 2025-12-04T09:21:55.6942450Z Entering 'third_party/protobuf' 2025-12-04T09:21:55.7007005Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:21:55.7067940Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:21:55.7134628Z Entering 'third_party/psimd' 2025-12-04T09:21:55.7197623Z Entering 'third_party/pthreadpool' 2025-12-04T09:21:55.7269780Z Entering 'third_party/pybind11' 2025-12-04T09:21:55.7338857Z Entering 'third_party/python-peachpy' 2025-12-04T09:21:55.7409321Z Entering 'third_party/sleef' 2025-12-04T09:21:55.7473039Z Entering 'third_party/tensorpipe' 2025-12-04T09:21:55.7536075Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:21:55.7596231Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:21:55.7662706Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:21:55.7718867Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:21:55.7785767Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:21:55.7885663Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T09:21:55.8349484Z Entering 'android/libs/fbjni' 2025-12-04T09:21:55.8423936Z Entering 'third_party/FP16' 2025-12-04T09:21:55.8488141Z Entering 'third_party/FXdiv' 2025-12-04T09:21:55.8557107Z Entering 'third_party/NNPACK' 2025-12-04T09:21:55.8625263Z Entering 'third_party/NVTX' 2025-12-04T09:21:55.8682531Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:21:55.8746259Z Entering 'third_party/XNNPACK' 2025-12-04T09:21:55.8826054Z Entering 'third_party/aiter' 2025-12-04T09:21:55.8894674Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:21:55.8968204Z Entering 'third_party/benchmark' 2025-12-04T09:21:55.9036255Z Entering 'third_party/composable_kernel' 2025-12-04T09:21:55.9114144Z Entering 'third_party/cpp-httplib' 2025-12-04T09:21:55.9178624Z Entering 'third_party/cpuinfo' 2025-12-04T09:21:55.9246382Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:21:55.9316195Z Entering 'third_party/cutlass' 2025-12-04T09:21:55.9392527Z Entering 'third_party/fbgemm' 2025-12-04T09:21:55.9457499Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:21:55.9519833Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:21:55.9596038Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:21:55.9657223Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:21:55.9734406Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:21:55.9796234Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:21:55.9859299Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:21:55.9924995Z Entering 'third_party/flash-attention' 2025-12-04T09:21:55.9987525Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:21:56.0062443Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:21:56.0126995Z Entering 'third_party/flatbuffers' 2025-12-04T09:21:56.0191830Z Entering 'third_party/fmt' 2025-12-04T09:21:56.0260449Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:21:56.0330278Z Entering 'third_party/gloo' 2025-12-04T09:21:56.0396396Z Entering 'third_party/googletest' 2025-12-04T09:21:56.0456991Z Entering 'third_party/ideep' 2025-12-04T09:21:56.0523181Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:21:56.0601443Z Entering 'third_party/ittapi' 2025-12-04T09:21:56.0661005Z Entering 'third_party/kineto' 2025-12-04T09:21:56.0724067Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:21:56.0782430Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:21:56.0842490Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:21:56.0909381Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:21:56.0980817Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:21:56.1042987Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:21:56.1113630Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:21:56.1178008Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:21:56.1246914Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:21:56.1314993Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:21:56.1378220Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:21:56.1436038Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:21:56.1501145Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:21:56.1573928Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:21:56.1636523Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:21:56.1712669Z Entering 'third_party/kleidiai' 2025-12-04T09:21:56.1779249Z Entering 'third_party/mimalloc' 2025-12-04T09:21:56.1839286Z Entering 'third_party/nlohmann' 2025-12-04T09:21:56.1906284Z Entering 'third_party/onnx' 2025-12-04T09:21:56.1989452Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:21:56.2063541Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:21:56.2126457Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:21:56.2187856Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:21:56.2256581Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:21:56.2318690Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:21:56.2379587Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:21:56.2446535Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:21:56.2507615Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:21:56.2571913Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:21:56.2632321Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:21:56.2700716Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:21:56.2789583Z Entering 'third_party/pocketfft' 2025-12-04T09:21:56.2851535Z Entering 'third_party/protobuf' 2025-12-04T09:21:56.2913263Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:21:56.2979266Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:21:56.3052417Z Entering 'third_party/psimd' 2025-12-04T09:21:56.3115242Z Entering 'third_party/pthreadpool' 2025-12-04T09:21:56.3171468Z Entering 'third_party/pybind11' 2025-12-04T09:21:56.3229536Z Entering 'third_party/python-peachpy' 2025-12-04T09:21:56.3295943Z Entering 'third_party/sleef' 2025-12-04T09:21:56.3365463Z Entering 'third_party/tensorpipe' 2025-12-04T09:21:56.3427591Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:21:56.3493848Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:21:56.3554805Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:21:56.3619373Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:21:56.3679307Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:21:56.3782111Z ##[endgroup] 2025-12-04T09:21:56.3831174Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T09:21:56.3859429Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:21:56.3979720Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T09:21:56.3980050Z cd "${GITHUB_WORKSPACE}" 2025-12-04T09:21:56.3980312Z # Clean stale submodule dirs 2025-12-04T09:21:56.3980582Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T09:21:56.3980922Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T09:21:56.3981531Z else 2025-12-04T09:21:56.3981767Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T09:21:56.3982222Z fi 2025-12-04T09:21:56.3991903Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:21:56.3992203Z env: 2025-12-04T09:21:56.3999623Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:21:56.3999835Z NO_SUDO: true 2025-12-04T09:21:56.4000012Z ##[endgroup] 2025-12-04T09:21:56.4488937Z Entering 'android/libs/fbjni' 2025-12-04T09:21:56.4545925Z Entering 'third_party/FP16' 2025-12-04T09:21:56.4599312Z Entering 'third_party/FXdiv' 2025-12-04T09:21:56.4655090Z Entering 'third_party/NNPACK' 2025-12-04T09:21:56.4706135Z Entering 'third_party/NVTX' 2025-12-04T09:21:56.4769475Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:21:56.4825592Z Entering 'third_party/XNNPACK' 2025-12-04T09:21:56.4983765Z Entering 'third_party/aiter' 2025-12-04T09:21:56.5045173Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:21:56.5195325Z Entering 'third_party/benchmark' 2025-12-04T09:21:56.5248999Z Entering 'third_party/composable_kernel' 2025-12-04T09:21:56.5403924Z Entering 'third_party/cpp-httplib' 2025-12-04T09:21:56.5458306Z Entering 'third_party/cpuinfo' 2025-12-04T09:21:56.5517415Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:21:56.5574515Z Entering 'third_party/cutlass' 2025-12-04T09:21:56.5710394Z Entering 'third_party/fbgemm' 2025-12-04T09:21:56.5794721Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:21:56.5846755Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:21:56.6048145Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:21:56.6107203Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:21:56.6244143Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:21:56.6303424Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:21:56.6343043Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:21:56.6408201Z Entering 'third_party/flash-attention' 2025-12-04T09:21:56.6467320Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:21:56.6600077Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:21:56.6721560Z Entering 'third_party/flatbuffers' 2025-12-04T09:21:56.6818595Z Entering 'third_party/fmt' 2025-12-04T09:21:56.6876166Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:21:56.6926668Z Entering 'third_party/gloo' 2025-12-04T09:21:56.6985068Z Entering 'third_party/googletest' 2025-12-04T09:21:56.7031938Z Entering 'third_party/ideep' 2025-12-04T09:21:56.7081321Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:21:56.7200002Z Entering 'third_party/ittapi' 2025-12-04T09:21:56.7257635Z Entering 'third_party/kineto' 2025-12-04T09:21:56.7309592Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:21:56.7374624Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:21:56.7441593Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:21:56.7491726Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:21:56.7534717Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:21:56.7582979Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:21:56.7634141Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:21:56.7690111Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:21:56.7747371Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:21:56.7807742Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:21:56.7857477Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:21:56.7905732Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:21:56.7972136Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:21:56.8041416Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:21:56.8092327Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:21:56.8146619Z Entering 'third_party/kleidiai' 2025-12-04T09:21:56.8217400Z Entering 'third_party/mimalloc' 2025-12-04T09:21:56.8279321Z Entering 'third_party/nlohmann' 2025-12-04T09:21:56.8344345Z Entering 'third_party/onnx' 2025-12-04T09:21:56.8788820Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:21:56.8853591Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:21:56.8930977Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:21:56.8985850Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:21:56.9037919Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:21:56.9088564Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:21:56.9157451Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:21:56.9213845Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:21:56.9266454Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:21:56.9314109Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:21:56.9388608Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:21:56.9439810Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:21:56.9790475Z Entering 'third_party/pocketfft' 2025-12-04T09:21:56.9846528Z Entering 'third_party/protobuf' 2025-12-04T09:21:56.9960014Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:21:57.0017243Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:21:57.0083693Z Entering 'third_party/psimd' 2025-12-04T09:21:57.0137142Z Entering 'third_party/pthreadpool' 2025-12-04T09:21:57.0187611Z Entering 'third_party/pybind11' 2025-12-04T09:21:57.0245335Z Entering 'third_party/python-peachpy' 2025-12-04T09:21:57.0292909Z Entering 'third_party/sleef' 2025-12-04T09:21:57.0342896Z Entering 'third_party/tensorpipe' 2025-12-04T09:21:57.0392839Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:21:57.0436808Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:21:57.0488646Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:21:57.0537529Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:21:57.0586200Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:21:57.0758496Z Prepare all required actions 2025-12-04T09:21:57.0759091Z Getting action download info 2025-12-04T09:21:57.2278661Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T09:21:57.2278894Z env: 2025-12-04T09:21:57.2279136Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:21:57.2279336Z ##[endgroup] 2025-12-04T09:21:57.2314965Z ##[group]Run set -euo pipefail 2025-12-04T09:21:57.2315223Z set -euo pipefail 2025-12-04T09:21:57.2315454Z function get_ec2_metadata() { 2025-12-04T09:21:57.2315734Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T09:21:57.2316187Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T09:21:57.2316591Z  category=$1 2025-12-04T09:21:57.2316851Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T09:21:57.2317159Z  runner_name_str=i-08ccd78ef7edeaec7 2025-12-04T09:21:57.2317448Z  if [[ -f /.inarc ]]; then 2025-12-04T09:21:57.2317713Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T09:21:57.2317992Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T09:21:57.2318326Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T09:21:57.2318635Z  else 2025-12-04T09:21:57.2319291Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-12-04T09:21:57.2320176Z  fi 2025-12-04T09:21:57.2320373Z } 2025-12-04T09:21:57.2320621Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T09:21:57.2320978Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T09:21:57.2321377Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T09:21:57.2321727Z echo "system info $(uname -a)" 2025-12-04T09:21:57.2330760Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:21:57.2331058Z env: 2025-12-04T09:21:57.2331234Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:21:57.2331420Z ##[endgroup] 2025-12-04T09:21:57.2519484Z ami-id: ami-08982f1c5bf93d976 2025-12-04T09:21:57.2648607Z instance-id: i-08ccd78ef7edeaec7 2025-12-04T09:21:57.2775342Z instance-type: g6.12xlarge 2025-12-04T09:21:57.2790763Z system info Linux ip-10-0-7-121.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T09:21:57.2813584Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T09:21:57.2813959Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T09:21:57.2822519Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:21:57.2822805Z env: 2025-12-04T09:21:57.2822963Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:21:57.2823161Z ##[endgroup] 2025-12-04T09:21:59.5868352Z Thu Dec 4 09:21:59 2025 2025-12-04T09:21:59.5868816Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:21:59.5869315Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:21:59.5869763Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:21:59.5870246Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:21:59.5870775Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:21:59.5871163Z | | | MIG M. | 2025-12-04T09:21:59.5871464Z |=========================================+========================+======================| 2025-12-04T09:21:59.6154575Z | 0 NVIDIA L4 Off | 00000000:38:00.0 Off | 0 | 2025-12-04T09:21:59.6155377Z | N/A 45C P0 28W / 72W | 0MiB / 23034MiB | 0% Default | 2025-12-04T09:21:59.6155771Z | | | N/A | 2025-12-04T09:21:59.6156143Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:21:59.6156543Z | 1 NVIDIA L4 Off | 00000000:3A:00.0 Off | 0 | 2025-12-04T09:21:59.6156942Z | N/A 43C P0 28W / 72W | 0MiB / 23034MiB | 0% Default | 2025-12-04T09:21:59.6157278Z | | | N/A | 2025-12-04T09:21:59.6157649Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:21:59.6158048Z | 2 NVIDIA L4 Off | 00000000:3C:00.0 Off | 0 | 2025-12-04T09:21:59.6158439Z | N/A 45C P0 27W / 72W | 0MiB / 23034MiB | 0% Default | 2025-12-04T09:21:59.6158771Z | | | N/A | 2025-12-04T09:21:59.6159200Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:21:59.6159598Z | 3 NVIDIA L4 Off | 00000000:3E:00.0 Off | 0 | 2025-12-04T09:21:59.6159967Z | N/A 44C P0 28W / 72W | 0MiB / 23034MiB | 3% Default | 2025-12-04T09:21:59.6160559Z | | | N/A | 2025-12-04T09:21:59.6160914Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:21:59.6161293Z 2025-12-04T09:21:59.6161473Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:21:59.6161876Z | Processes: | 2025-12-04T09:21:59.6162260Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:21:59.6162564Z | ID ID Usage | 2025-12-04T09:21:59.6162812Z |=========================================================================================| 2025-12-04T09:21:59.6179257Z | No running processes found | 2025-12-04T09:21:59.6179739Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:22:00.9049971Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:22:00.9050665Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:22:00.9062388Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:00.9062694Z env: 2025-12-04T09:22:00.9062863Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:00.9063053Z ##[endgroup] 2025-12-04T09:22:00.9131226Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T09:22:00.9131572Z if systemctl is-active --quiet docker; then 2025-12-04T09:22:00.9131858Z  echo "Docker daemon is running..."; 2025-12-04T09:22:00.9132105Z else 2025-12-04T09:22:00.9132377Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T09:22:00.9132690Z fi 2025-12-04T09:22:00.9143024Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:00.9143319Z env: 2025-12-04T09:22:00.9143475Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:00.9143665Z ##[endgroup] 2025-12-04T09:22:00.9254363Z Docker daemon is running... 2025-12-04T09:22:00.9295063Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:22:00.9295296Z with: 2025-12-04T09:22:00.9295448Z shell: bash 2025-12-04T09:22:00.9295822Z timeout_minutes: 5 2025-12-04T09:22:00.9296028Z max_attempts: 3 2025-12-04T09:22:00.9296206Z retry_wait_seconds: 30 2025-12-04T09:22:00.9309905Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-12-04T09:22:00.9312156Z polling_interval_seconds: 1 2025-12-04T09:22:00.9312378Z warning_on_retry: true 2025-12-04T09:22:00.9312573Z continue_on_error: false 2025-12-04T09:22:00.9312754Z env: 2025-12-04T09:22:00.9312907Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:00.9313097Z AWS_RETRY_MODE: standard 2025-12-04T09:22:00.9313488Z AWS_MAX_ATTEMPTS: 5 2025-12-04T09:22:00.9313707Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T09:22:00.9313913Z ##[endgroup] 2025-12-04T09:22:01.9915296Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:22:01.9916391Z Configure a credential helper to remove this warning. See 2025-12-04T09:22:01.9917945Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:22:01.9918638Z 2025-12-04T09:22:01.9918816Z Login Succeeded 2025-12-04T09:22:02.0094951Z Command completed after 1 attempt(s). 2025-12-04T09:22:02.0167516Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:22:02.0167910Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:22:02.0168237Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:22:02.0176172Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:02.0176464Z env: 2025-12-04T09:22:02.0176621Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:02.0176827Z ##[endgroup] 2025-12-04T09:22:02.0283094Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:22:02.0283511Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:22:02.0283838Z # shellcheck disable=SC2046 2025-12-04T09:22:02.0284132Z docker stop $(docker ps -q) || true 2025-12-04T09:22:02.0284387Z # Prune all of the docker images 2025-12-04T09:22:02.0284620Z docker system prune -af 2025-12-04T09:22:02.0293613Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:02.0293959Z env: 2025-12-04T09:22:02.0294146Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:02.0294376Z ##[endgroup] 2025-12-04T09:22:02.0596127Z "docker stop" requires at least 1 argument. 2025-12-04T09:22:02.0596819Z See 'docker stop --help'. 2025-12-04T09:22:02.0597180Z 2025-12-04T09:22:02.0597496Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T09:22:02.0597957Z 2025-12-04T09:22:02.0598159Z Stop one or more running containers 2025-12-04T09:22:02.0808945Z Total reclaimed space: 0B 2025-12-04T09:22:02.0963051Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T09:22:02.0963454Z with: 2025-12-04T09:22:02.0964080Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:02.0964772Z use-custom-docker-registry: true 2025-12-04T09:22:02.0965005Z docker-build-dir: .ci/docker 2025-12-04T09:22:02.0965224Z docker-build-script: ./build.sh 2025-12-04T09:22:02.0965438Z working-directory: . 2025-12-04T09:22:02.0965694Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:22:02.0965985Z force-push: false 2025-12-04T09:22:02.0966151Z env: 2025-12-04T09:22:02.0966303Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:02.0966488Z ##[endgroup] 2025-12-04T09:22:02.0983375Z ##[group]Run set -ex 2025-12-04T09:22:02.0983606Z set -ex 2025-12-04T09:22:02.0983771Z  2025-12-04T09:22:02.0984091Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T09:22:02.0984560Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T09:22:02.0984972Z # job could then download the pre-built image as usual 2025-12-04T09:22:02.0985458Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T09:22:02.0985904Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T09:22:02.0986139Z else 2025-12-04T09:22:02.0986330Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:22:02.0986648Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:22:02.0986933Z  2025-12-04T09:22:02.0987331Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T09:22:02.0987789Z  exit 0 2025-12-04T09:22:02.0987942Z fi 2025-12-04T09:22:02.0988096Z  2025-12-04T09:22:02.0988343Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T09:22:02.0988950Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T09:22:02.0989328Z  # use it as it is, but first let's extract the tag 2025-12-04T09:22:02.0989676Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T09:22:02.0990038Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:22:02.0990377Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:22:02.0990677Z else 2025-12-04T09:22:02.0990873Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T09:22:02.0991146Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T09:22:02.0991426Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T09:22:02.0991659Z  fi 2025-12-04T09:22:02.0991979Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T09:22:02.0992410Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:22:02.0992875Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:22:02.0993371Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:22:02.0993673Z fi 2025-12-04T09:22:02.1001825Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:02.1002112Z env: 2025-12-04T09:22:02.1002295Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:02.1002492Z REPO_NAME: pytorch 2025-12-04T09:22:02.1003241Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:02.1003894Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T09:22:02.1004105Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T09:22:02.1004381Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:22:02.1004677Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T09:22:02.1004895Z CUSTOM_TAG_PREFIX: 2025-12-04T09:22:02.1005068Z ##[endgroup] 2025-12-04T09:22:02.1035772Z + [[ -d .ci/docker ]] 2025-12-04T09:22:02.1036301Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T09:22:02.1036813Z + [[ true == \t\r\u\e ]] 2025-12-04T09:22:02.1037251Z + echo skip=false 2025-12-04T09:22:02.1039399Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-12-04T09:22:02.1043596Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:02.1044838Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T09:22:02.1073163Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:02.1074913Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:02.1077580Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:02.1101366Z ##[group]Run set +e 2025-12-04T09:22:02.1101589Z set +e 2025-12-04T09:22:02.1101751Z set -x 2025-12-04T09:22:02.1101912Z  2025-12-04T09:22:02.1102068Z login() { 2025-12-04T09:22:02.1102418Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T09:22:02.1102791Z } 2025-12-04T09:22:02.1102943Z  2025-12-04T09:22:02.1103088Z retry () { 2025-12-04T09:22:02.1103293Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T09:22:02.1103712Z } 2025-12-04T09:22:02.1103862Z  2025-12-04T09:22:02.1104033Z retry login "${DOCKER_REGISTRY}" 2025-12-04T09:22:02.1104259Z  2025-12-04T09:22:02.1104415Z START_TIME=$(date +%s) 2025-12-04T09:22:02.1104624Z # Wait up to 120 minutes 2025-12-04T09:22:02.1104905Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T09:22:02.1105273Z  # Check if image already exists, if it does then skip building it 2025-12-04T09:22:02.1105614Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T09:22:02.1105876Z  exit 0 2025-12-04T09:22:02.1106048Z  fi 2025-12-04T09:22:02.1106195Z  2025-12-04T09:22:02.1106475Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T09:22:02.1106939Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T09:22:02.1107403Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T09:22:02.1107762Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T09:22:02.1108055Z  # It's a Docker build job, let's build the image 2025-12-04T09:22:02.1108300Z  break 2025-12-04T09:22:02.1108462Z  else 2025-12-04T09:22:02.1108698Z  # It's a regular build job, wait for the image to become available 2025-12-04T09:22:02.1108987Z  sleep 300 2025-12-04T09:22:02.1109162Z  fi 2025-12-04T09:22:02.1109312Z done 2025-12-04T09:22:02.1109460Z  2025-12-04T09:22:02.1109873Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T09:22:02.1110295Z # be empty. The default action would be to continue rebuild the image 2025-12-04T09:22:02.1110666Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T09:22:02.1110994Z  # if we're on the base branch then use the parent commit 2025-12-04T09:22:02.1111279Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T09:22:02.1111497Z else 2025-12-04T09:22:02.1111729Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T09:22:02.1112063Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T09:22:02.1112327Z fi 2025-12-04T09:22:02.1112482Z  2025-12-04T09:22:02.1112650Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T09:22:02.1112914Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:22:02.1113144Z  2025-12-04T09:22:02.1113747Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T09:22:02.1114140Z  exit 0 2025-12-04T09:22:02.1114296Z fi 2025-12-04T09:22:02.1114476Z  2025-12-04T09:22:02.1114695Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T09:22:02.1115185Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T09:22:02.1115595Z  exit 1 2025-12-04T09:22:02.1115747Z fi 2025-12-04T09:22:02.1115898Z  2025-12-04T09:22:02.1116159Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T09:22:02.1116629Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T09:22:02.1117040Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T09:22:02.1117526Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T09:22:02.1118073Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T09:22:02.1118400Z fi 2025-12-04T09:22:02.1118698Z  2025-12-04T09:22:02.1118883Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:22:02.1126221Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:02.1126498Z env: 2025-12-04T09:22:02.1126658Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:02.1126857Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T09:22:02.1127099Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:22:02.1127792Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:02.1128635Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:02.1129143Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:22:02.1129416Z DOCKER_PUSH: 2025-12-04T09:22:02.1129585Z ##[endgroup] 2025-12-04T09:22:02.1157864Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:22:02.1158333Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:22:02.1163049Z + aws ecr get-login-password --region us-east-1 2025-12-04T09:22:02.1163553Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:22:02.5855063Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:22:02.5855682Z Configure a credential helper to remove this warning. See 2025-12-04T09:22:02.5856217Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:22:02.5856591Z 2025-12-04T09:22:02.5858506Z Login Succeeded 2025-12-04T09:22:02.5884937Z ++ date +%s 2025-12-04T09:22:02.5897811Z + START_TIME=1764840122 2025-12-04T09:22:02.5905180Z ++ date +%s 2025-12-04T09:22:02.5919262Z + [[ 1764832922 -lt 1764840122 ]] 2025-12-04T09:22:02.5921041Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:02.8295405Z { 2025-12-04T09:22:02.8295951Z "schemaVersion": 2, 2025-12-04T09:22:02.8296716Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T09:22:02.8297127Z "config": { 2025-12-04T09:22:02.8297447Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T09:22:02.8297830Z "size": 34884, 2025-12-04T09:22:02.8298204Z "digest": "sha256:0ccbf4fab5f55e557ff63d66607494707567ca363d0460db6f3a59a889b43505" 2025-12-04T09:22:02.8298632Z }, 2025-12-04T09:22:02.8298808Z "layers": [ 2025-12-04T09:22:02.8298990Z { 2025-12-04T09:22:02.8299294Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:22:02.8299681Z "size": 30447951, 2025-12-04T09:22:02.8300086Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T09:22:02.8300507Z }, 2025-12-04T09:22:02.8300672Z { 2025-12-04T09:22:02.8300976Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:22:02.8301341Z "size": 1554, 2025-12-04T09:22:02.8301717Z "digest": "sha256:67c41d48b15893f99e19b54d49f8def5cf3e2624cc0befd35b66c832ba60cfb5" 2025-12-04T09:22:02.8302133Z }, 2025-12-04T09:22:02.8302302Z { 2025-12-04T09:22:02.8302592Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:22:02.8302969Z "size": 313275557, 2025-12-04T09:22:02.8303351Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:22:02.8420250Z } 2025-12-04T09:22:02.8420383Z ] 2025-12-04T09:22:02.8420509Z } 2025-12-04T09:22:02.8420663Z + exit 0 2025-12-04T09:22:02.8459757Z ##[group]Run set -eux 2025-12-04T09:22:02.8459966Z set -eux 2025-12-04T09:22:02.8460261Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T09:22:02.8461242Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-12-04T09:22:02.8469870Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:02.8470152Z env: 2025-12-04T09:22:02.8470316Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:02.8470501Z ##[endgroup] 2025-12-04T09:22:02.8509436Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T09:22:02.8509979Z + jq -r .docker_hub_readonly_token 2025-12-04T09:22:02.8510285Z + jq --raw-output .SecretString 2025-12-04T09:22:02.8512716Z + docker login --username pytorchbot --password-stdin 2025-12-04T09:22:03.3982227Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:22:03.3983368Z Configure a credential helper to remove this warning. See 2025-12-04T09:22:03.3984470Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:22:03.3985257Z 2025-12-04T09:22:03.3985476Z Login Succeeded 2025-12-04T09:22:03.4068617Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T09:22:03.4068986Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T09:22:03.4069305Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T09:22:03.4077300Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:03.4077584Z env: 2025-12-04T09:22:03.4077751Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:03.4078381Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:03.4079105Z ##[endgroup] 2025-12-04T09:22:03.4117133Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:03.4158296Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T09:22:03.4158653Z with: 2025-12-04T09:22:03.4159327Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:03.4160226Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:22:03.4160501Z env: 2025-12-04T09:22:03.4160653Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:03.4160839Z ##[endgroup] 2025-12-04T09:22:03.4174354Z ##[group]Run set -x 2025-12-04T09:22:03.4174557Z set -x 2025-12-04T09:22:03.4174711Z set +e 2025-12-04T09:22:03.4174866Z  2025-12-04T09:22:03.4175018Z login() { 2025-12-04T09:22:03.4175362Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T09:22:03.4175742Z } 2025-12-04T09:22:03.4175892Z  2025-12-04T09:22:03.4176063Z retry () { 2025-12-04T09:22:03.4176250Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T09:22:03.4176492Z } 2025-12-04T09:22:03.4176639Z  2025-12-04T09:22:03.4176804Z retry login "${DOCKER_REGISTRY}" 2025-12-04T09:22:03.4177022Z  2025-12-04T09:22:03.4177368Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T09:22:03.4177837Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T09:22:03.4178104Z  2025-12-04T09:22:03.4178258Z set -e 2025-12-04T09:22:03.4178507Z # ignore output since only exit code is used for conditional 2025-12-04T09:22:03.4178850Z # only pull docker image if it's not available locally 2025-12-04T09:22:03.4179241Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T09:22:03.4179612Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T09:22:03.4179843Z fi 2025-12-04T09:22:03.4186783Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:03.4187077Z env: 2025-12-04T09:22:03.4187241Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:03.4187854Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:03.4188568Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:22:03.4188852Z ##[endgroup] 2025-12-04T09:22:03.4220084Z + set +e 2025-12-04T09:22:03.4220674Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:22:03.4221429Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:22:03.4225714Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:22:03.4226164Z + aws ecr get-login-password --region us-east-1 2025-12-04T09:22:03.8966724Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:22:03.8967616Z Configure a credential helper to remove this warning. See 2025-12-04T09:22:03.8968340Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:22:03.8968761Z 2025-12-04T09:22:03.8968896Z Login Succeeded 2025-12-04T09:22:03.8997810Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:03.8998901Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T09:22:04.1005924Z + IMAGE_SIZE=15313.830066680908 2025-12-04T09:22:04.1006508Z + echo 'Compressed size of image in MB: 15313.830066680908' 2025-12-04T09:22:04.1007006Z + set -e 2025-12-04T09:22:04.1007362Z Compressed size of image in MB: 15313.830066680908 2025-12-04T09:22:04.1009172Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:04.1153217Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:04.1154545Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:04.2910004Z pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T09:22:04.2910722Z 63e5bc7682b8: Pulling fs layer 2025-12-04T09:22:04.2910987Z 67c41d48b158: Pulling fs layer 2025-12-04T09:22:04.2911256Z de0c40fd6dde: Pulling fs layer 2025-12-04T09:22:04.2911516Z 64b33a2ca109: Pulling fs layer 2025-12-04T09:22:04.2915620Z cc25ea4b715b: Pulling fs layer 2025-12-04T09:22:04.2915980Z 490bde020ad4: Pulling fs layer 2025-12-04T09:22:04.2916278Z 7790282ab43d: Pulling fs layer 2025-12-04T09:22:04.2916571Z 0c05eb2fa7ac: Pulling fs layer 2025-12-04T09:22:04.2916823Z af4393706f6e: Pulling fs layer 2025-12-04T09:22:04.2917075Z 5629cd1d11b1: Pulling fs layer 2025-12-04T09:22:04.2917324Z 91d2c6dd679e: Pulling fs layer 2025-12-04T09:22:04.2917616Z d2df3c6e9a42: Pulling fs layer 2025-12-04T09:22:04.2917879Z a45940460693: Pulling fs layer 2025-12-04T09:22:04.2918133Z 709dbb1dbcab: Pulling fs layer 2025-12-04T09:22:04.2918381Z 4f4fb700ef54: Pulling fs layer 2025-12-04T09:22:04.2918639Z 1e5e1c867d5e: Pulling fs layer 2025-12-04T09:22:04.2918877Z 708b34a8f89e: Pulling fs layer 2025-12-04T09:22:04.2919202Z 7fffbfcfa7b1: Pulling fs layer 2025-12-04T09:22:04.2919445Z 06d4791ec6fd: Pulling fs layer 2025-12-04T09:22:04.2919687Z 3ba143c6c643: Pulling fs layer 2025-12-04T09:22:04.2919928Z c55c8138d4dc: Pulling fs layer 2025-12-04T09:22:04.2920174Z 105744735602: Pulling fs layer 2025-12-04T09:22:04.2920410Z a6ad19e5160a: Pulling fs layer 2025-12-04T09:22:04.2920660Z 7ef54e5262c5: Pulling fs layer 2025-12-04T09:22:04.2920888Z 293e877559f8: Pulling fs layer 2025-12-04T09:22:04.2921122Z 336ce7e0d0b4: Pulling fs layer 2025-12-04T09:22:04.2921363Z c428e36fc1f0: Pulling fs layer 2025-12-04T09:22:04.2921593Z abaaf10a9939: Pulling fs layer 2025-12-04T09:22:04.2921838Z ce1510c422ec: Pulling fs layer 2025-12-04T09:22:04.2922080Z da37c5f3fb22: Pulling fs layer 2025-12-04T09:22:04.2922313Z e9a896e1b061: Pulling fs layer 2025-12-04T09:22:04.2922563Z 7aaa1f2fb91e: Pulling fs layer 2025-12-04T09:22:04.2922804Z 73403aa2879a: Pulling fs layer 2025-12-04T09:22:04.2923038Z c63beb86e833: Pulling fs layer 2025-12-04T09:22:04.2923269Z 5b35e7308c16: Pulling fs layer 2025-12-04T09:22:04.2923509Z bc6cea873c9d: Pulling fs layer 2025-12-04T09:22:04.2923746Z aff4f7c12757: Pulling fs layer 2025-12-04T09:22:04.2923975Z 789ad9f01b04: Pulling fs layer 2025-12-04T09:22:04.2924221Z 5518eeaaad5c: Pulling fs layer 2025-12-04T09:22:04.2924486Z 19bc2afaa008: Pulling fs layer 2025-12-04T09:22:04.2924730Z 8f2d412983fc: Pulling fs layer 2025-12-04T09:22:04.2924973Z 4105c5fe8cd8: Pulling fs layer 2025-12-04T09:22:04.2925221Z 3e9cb2b1435d: Pulling fs layer 2025-12-04T09:22:04.2925430Z c6a8abfd84c7: Pulling fs layer 2025-12-04T09:22:04.2925630Z 3c675c8f3264: Pulling fs layer 2025-12-04T09:22:04.2925840Z 6710b1677220: Pulling fs layer 2025-12-04T09:22:04.2926024Z 4e207476a41b: Pulling fs layer 2025-12-04T09:22:04.2926234Z 6ff8104d1ed7: Pulling fs layer 2025-12-04T09:22:04.2926453Z ff02d54c9496: Pulling fs layer 2025-12-04T09:22:04.2926646Z 0fa03eca92d7: Pulling fs layer 2025-12-04T09:22:04.2926868Z a0d9f0995a5c: Pulling fs layer 2025-12-04T09:22:04.2927070Z a5f869eb36f8: Pulling fs layer 2025-12-04T09:22:04.2927266Z 9a06093e8554: Pulling fs layer 2025-12-04T09:22:04.2927484Z 8ebd7ec5382a: Pulling fs layer 2025-12-04T09:22:04.2927705Z 332b6399906c: Pulling fs layer 2025-12-04T09:22:04.2927897Z cc25ea4b715b: Waiting 2025-12-04T09:22:04.2928077Z 1e5e1c867d5e: Waiting 2025-12-04T09:22:04.2928503Z 490bde020ad4: Waiting 2025-12-04T09:22:04.2928697Z 708b34a8f89e: Waiting 2025-12-04T09:22:04.2928898Z 102a81f67e13: Pulling fs layer 2025-12-04T09:22:04.2929095Z 8f2d412983fc: Waiting 2025-12-04T09:22:04.2929273Z 3e9cb2b1435d: Waiting 2025-12-04T09:22:04.2929445Z bf7f6de84512: Pulling fs layer 2025-12-04T09:22:04.2929793Z 6ff8104d1ed7: Waiting 2025-12-04T09:22:04.2929961Z 64b33a2ca109: Waiting 2025-12-04T09:22:04.2930126Z d2df3c6e9a42: Waiting 2025-12-04T09:22:04.2930285Z c6a8abfd84c7: Waiting 2025-12-04T09:22:04.2930448Z ff02d54c9496: Waiting 2025-12-04T09:22:04.2930616Z aff4f7c12757: Waiting 2025-12-04T09:22:04.2930774Z 5518eeaaad5c: Waiting 2025-12-04T09:22:04.2930942Z 789ad9f01b04: Waiting 2025-12-04T09:22:04.2931135Z 7790282ab43d: Waiting 2025-12-04T09:22:04.2931291Z c55c8138d4dc: Waiting 2025-12-04T09:22:04.2931451Z 5629cd1d11b1: Waiting 2025-12-04T09:22:04.2931615Z 3ba143c6c643: Waiting 2025-12-04T09:22:04.2931769Z af4393706f6e: Waiting 2025-12-04T09:22:04.2931931Z 6710b1677220: Waiting 2025-12-04T09:22:04.2932097Z 19bc2afaa008: Waiting 2025-12-04T09:22:04.2932258Z 4e207476a41b: Waiting 2025-12-04T09:22:04.2932422Z 0c05eb2fa7ac: Waiting 2025-12-04T09:22:04.2932587Z 332b6399906c: Waiting 2025-12-04T09:22:04.2932738Z 06d4791ec6fd: Waiting 2025-12-04T09:22:04.2932903Z a5f869eb36f8: Waiting 2025-12-04T09:22:04.2933067Z 102a81f67e13: Waiting 2025-12-04T09:22:04.2933223Z a0d9f0995a5c: Waiting 2025-12-04T09:22:04.2933392Z a6ad19e5160a: Waiting 2025-12-04T09:22:04.2933558Z bf7f6de84512: Waiting 2025-12-04T09:22:04.2933728Z 4f4fb700ef54: Waiting 2025-12-04T09:22:04.2933900Z 293e877559f8: Waiting 2025-12-04T09:22:04.2934067Z bc6cea873c9d: Waiting 2025-12-04T09:22:04.2934238Z a45940460693: Waiting 2025-12-04T09:22:04.2934400Z 9d62555d6be4: Pulling fs layer 2025-12-04T09:22:04.2934597Z d706fba33095: Pulling fs layer 2025-12-04T09:22:04.2934786Z abaaf10a9939: Waiting 2025-12-04T09:22:04.2934945Z 73403aa2879a: Waiting 2025-12-04T09:22:04.2935126Z 709dbb1dbcab: Waiting 2025-12-04T09:22:04.2935293Z 8ebd7ec5382a: Waiting 2025-12-04T09:22:04.2935454Z e9a896e1b061: Waiting 2025-12-04T09:22:04.2935615Z 9d62555d6be4: Waiting 2025-12-04T09:22:04.2935781Z d706fba33095: Waiting 2025-12-04T09:22:04.2935945Z f365fe2c419a: Pulling fs layer 2025-12-04T09:22:04.2936139Z 91d2c6dd679e: Waiting 2025-12-04T09:22:04.2936329Z 0a14b6f13535: Pulling fs layer 2025-12-04T09:22:04.2936529Z bb9b293d51e0: Pulling fs layer 2025-12-04T09:22:04.2936717Z 85127fd9e56d: Pulling fs layer 2025-12-04T09:22:04.2936922Z 2ead80154665: Pulling fs layer 2025-12-04T09:22:04.2937107Z 0a14b6f13535: Waiting 2025-12-04T09:22:04.2937269Z 14cec286c62b: Pulling fs layer 2025-12-04T09:22:04.2937477Z bb9b293d51e0: Waiting 2025-12-04T09:22:04.2937653Z 651b4d5ecb71: Pulling fs layer 2025-12-04T09:22:04.2937832Z 2ead80154665: Waiting 2025-12-04T09:22:04.2937996Z 14cec286c62b: Waiting 2025-12-04T09:22:04.2938167Z 4f0169281f2b: Pulling fs layer 2025-12-04T09:22:04.2938347Z 651b4d5ecb71: Waiting 2025-12-04T09:22:04.2938517Z 105744735602: Waiting 2025-12-04T09:22:04.2938683Z 3c675c8f3264: Waiting 2025-12-04T09:22:04.2938848Z c331724bcc8a: Pulling fs layer 2025-12-04T09:22:04.2939035Z c63beb86e833: Waiting 2025-12-04T09:22:04.2939197Z 4f0169281f2b: Waiting 2025-12-04T09:22:04.2939354Z da37c5f3fb22: Waiting 2025-12-04T09:22:04.2939527Z bf53fea04ea2: Pulling fs layer 2025-12-04T09:22:04.2939724Z ce1510c422ec: Waiting 2025-12-04T09:22:04.2939890Z f659d4ac3583: Pulling fs layer 2025-12-04T09:22:04.2940076Z c331724bcc8a: Waiting 2025-12-04T09:22:04.2940240Z 85127fd9e56d: Waiting 2025-12-04T09:22:04.2940401Z bf53fea04ea2: Waiting 2025-12-04T09:22:04.2940558Z f659d4ac3583: Waiting 2025-12-04T09:22:04.2940722Z 7aaa1f2fb91e: Waiting 2025-12-04T09:22:04.2940887Z 336ce7e0d0b4: Waiting 2025-12-04T09:22:04.2941044Z c428e36fc1f0: Waiting 2025-12-04T09:22:04.2941206Z 7ef54e5262c5: Waiting 2025-12-04T09:22:04.2941368Z 9a06093e8554: Waiting 2025-12-04T09:22:04.2941523Z 4105c5fe8cd8: Waiting 2025-12-04T09:22:04.2941693Z 7fffbfcfa7b1: Waiting 2025-12-04T09:22:04.3885033Z 67c41d48b158: Download complete 2025-12-04T09:22:04.4728327Z 64b33a2ca109: Download complete 2025-12-04T09:22:04.5451166Z cc25ea4b715b: Download complete 2025-12-04T09:22:04.6224614Z 490bde020ad4: Verifying Checksum 2025-12-04T09:22:04.6225148Z 490bde020ad4: Download complete 2025-12-04T09:22:04.6387688Z 63e5bc7682b8: Verifying Checksum 2025-12-04T09:22:04.6388272Z 63e5bc7682b8: Download complete 2025-12-04T09:22:04.6956496Z 7790282ab43d: Verifying Checksum 2025-12-04T09:22:04.6956858Z 7790282ab43d: Download complete 2025-12-04T09:22:04.7120119Z 0c05eb2fa7ac: Download complete 2025-12-04T09:22:04.7817999Z 5629cd1d11b1: Verifying Checksum 2025-12-04T09:22:04.7818321Z 5629cd1d11b1: Download complete 2025-12-04T09:22:04.8671534Z 91d2c6dd679e: Verifying Checksum 2025-12-04T09:22:04.8671926Z 91d2c6dd679e: Download complete 2025-12-04T09:22:04.9498461Z d2df3c6e9a42: Download complete 2025-12-04T09:22:05.0382711Z 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2025-12-04T09:26:12.5548289Z 2ead80154665: Pull complete 2025-12-04T09:26:12.8503880Z 14cec286c62b: Pull complete 2025-12-04T09:26:13.1874204Z 651b4d5ecb71: Pull complete 2025-12-04T09:26:13.5700270Z 4f0169281f2b: Pull complete 2025-12-04T09:26:15.6351378Z c331724bcc8a: Pull complete 2025-12-04T09:26:16.1779351Z bf53fea04ea2: Pull complete 2025-12-04T09:26:17.9778400Z f659d4ac3583: Pull complete 2025-12-04T09:26:18.7861404Z Digest: sha256:26aca0736a4ce89ce91ccedb1f5d90ce14b0dd6252f01598064e66377063a214 2025-12-04T09:26:18.8929705Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:26:18.9288093Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:26:18.9376331Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:26:18.9377225Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:26:18.9386676Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:26:18.9386961Z env: 2025-12-04T09:26:18.9387117Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:26:18.9387324Z ##[endgroup] 2025-12-04T09:26:18.9544271Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T09:26:18.9544610Z with: 2025-12-04T09:26:18.9544789Z driver-version: 580.82.07 2025-12-04T09:26:18.9544988Z env: 2025-12-04T09:26:18.9545140Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:26:18.9545328Z ##[endgroup] 2025-12-04T09:26:18.9639225Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:26:18.9639883Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:26:18.9647336Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:26:18.9647631Z env: 2025-12-04T09:26:18.9647798Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:26:18.9647984Z ##[endgroup] 2025-12-04T09:26:18.9789194Z ##[group]Run set -euo pipefail 2025-12-04T09:26:18.9789456Z set -euo pipefail 2025-12-04T09:26:18.9789692Z  2025-12-04T09:26:18.9789850Z has_gpu=false 2025-12-04T09:26:18.9790034Z devices="" 2025-12-04T09:26:18.9790200Z  2025-12-04T09:26:18.9790396Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T09:26:18.9790731Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:26:18.9791035Z  has_gpu=true 2025-12-04T09:26:18.9791253Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:26:18.9791477Z  fi 2025-12-04T09:26:18.9791639Z fi 2025-12-04T09:26:18.9791792Z  2025-12-04T09:26:18.9791951Z if [ "$has_gpu" = false ]; then 2025-12-04T09:26:18.9792240Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:26:18.9792521Z  has_gpu=true 2025-12-04T09:26:18.9792729Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:26:18.9792968Z  fi 2025-12-04T09:26:18.9793124Z fi 2025-12-04T09:26:18.9793274Z  2025-12-04T09:26:18.9793497Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T09:26:18.9793861Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:26:18.9794155Z  has_gpu=true 2025-12-04T09:26:18.9794363Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:26:18.9794595Z  fi 2025-12-04T09:26:18.9794747Z fi 2025-12-04T09:26:18.9794888Z  2025-12-04T09:26:18.9795109Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T09:26:18.9795506Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T09:26:18.9803840Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:26:18.9804120Z env: 2025-12-04T09:26:18.9804281Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:26:18.9804504Z ##[endgroup] 2025-12-04T09:26:22.3872070Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:26:22.3872405Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:26:22.3872680Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T09:26:22.3873051Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T09:26:22.3873371Z else 2025-12-04T09:26:22.3873591Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T09:26:22.3873839Z fi 2025-12-04T09:26:22.3883068Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:26:22.3883353Z env: 2025-12-04T09:26:22.3883518Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:26:22.3883719Z HAS_NVIDIA: true 2025-12-04T09:26:22.3883891Z ##[endgroup] 2025-12-04T09:26:22.3972864Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2025-12-04T09:26:22.3973182Z with: 2025-12-04T09:26:22.3973499Z timeout_minutes: 10 2025-12-04T09:26:22.3973678Z max_attempts: 3 2025-12-04T09:26:22.3993118Z command: # Is it disgusting to have a full shell script here in this github action? Sure # But is it the best way to make it so that this action relies on nothing else? Absolutely set -eou pipefail DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID) DRIVER_FN="NVIDIA-Linux-x86_64-${DRIVER_VERSION}.run" install_nvidia_docker2_amzn2() { ( set -x # Needed for yum-config-manager sudo yum install -y yum-utils if [[ "${DISTRIBUTION}" == "amzn2023" ]] ; then YUM_REPO_URL="https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo" else # Amazon Linux 2 YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo" fi sudo yum-config-manager --add-repo "${YUM_REPO_URL}" sudo yum install -y \ nvidia-container-toolkit-1.17.8 \ libnvidia-container-tools-1.17.8 \ libnvidia-container1-1.17.8 \ nvidia-container-toolkit-base-1.17.8 sudo systemctl restart docker ) } install_nvidia_docker2_ubuntu20() { ( set -x # Install nvidia-driver package if not installed status="$(dpkg-query -W --showformat='${db:Status-Status}' nvidia-docker2 2>&1)" if [ ! $? = 0 ] || [ ! "$status" = installed ]; then sudo apt-get install -y nvidia-container-toolkit-1.17.8 sudo systemctl restart docker fi ) } pre_install_nvidia_driver_amzn2() { ( # Purge any nvidia driver installed from RHEL repo sudo yum remove -y nvidia-driver-latest-dkms ) } install_nvidia_driver_common() { ( # Try to gather more information about the runner and its existing NVIDIA driver if any echo "Before installing NVIDIA driver" lspci lsmod modinfo nvidia || true HAS_NVIDIA_DRIVER=0 # Check if NVIDIA driver has already been installed if [ -x "$(command -v nvidia-smi)" ]; then set +e # The driver exists, check its version next. Also check only the first GPU if there are more than one of them # so that the same driver version is not print over multiple lines INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0) NVIDIA_SMI_STATUS=$? if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then echo "Failed to get NVIDIA driver version ($INSTALLED_DRIVER_VERSION). Continuing" elif [ "$INSTALLED_DRIVER_VERSION" != "$DRIVER_VERSION" ]; then echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has been installed, but we expect to have $DRIVER_VERSION instead. Continuing" # Turn off persistent mode so that the installation script can unload the kernel module sudo killall nvidia-persistenced || true else HAS_NVIDIA_DRIVER=1 echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has already been installed. Skipping NVIDIA driver installation" fi set -e fi if [ "$HAS_NVIDIA_DRIVER" -eq 0 ]; then # CAUTION: this may need to be updated in future if [ "${DISTRIBUTION}" != ubuntu20.04 ]; then sudo yum groupinstall -y "Development Tools" # ensure our kernel install is the same as our underlying kernel, # groupinstall "Development Tools" has a habit of mismatching kernel headers sudo yum install -y "kernel-devel-uname-r == $(uname -r)" sudo modprobe backlight fi sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN" set +e sudo /bin/bash /tmp/nvidia_driver -s --no-drm NVIDIA_INSTALLATION_STATUS=$? RESET_GPU=0 if [ "$NVIDIA_INSTALLATION_STATUS" -ne 0 ]; then sudo cat /var/log/nvidia-installer.log # Fail to install NVIDIA driver, try to reset the GPU RESET_GPU=1 elif [ -x "$(command -v nvidia-smi)" ]; then # Check again if nvidia-smi works even if the driver installation completes successfully INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0) NVIDIA_SMI_STATUS=$? if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then RESET_GPU=1 fi fi if [ "$RESET_GPU" -eq 1 ]; then NVIDIA_DEVICES=$(lspci -D | grep -i NVIDIA | cut -d' ' -f1) # The GPU can get stuck in a failure state if somehow the test crashs the GPU microcode. When this # happens, we'll try to reset all NVIDIA devices https://github.com/pytorch/pytorch/issues/88388 for PCI_ID in $NVIDIA_DEVICES; do DEVICE_ENABLED=$(cat /sys/bus/pci/devices/$PCI_ID/enable) echo "Reseting $PCI_ID (enabled state: $DEVICE_ENABLED)" # This requires sudo permission of course echo "1" | sudo tee /sys/bus/pci/devices/$PCI_ID/reset sleep 1 done fi sudo rm -fv /tmp/nvidia_driver set -e fi ) } post_install_nvidia_driver_common() { ( sudo modprobe nvidia || true echo "After installing NVIDIA driver" lspci lsmod modinfo nvidia || true ( set +e nvidia-smi # NB: Annoyingly, nvidia-smi command returns successfully with return code 0 even in # the case where the driver has already crashed as it still can get the driver version # and some basic information like the bus ID. However, the rest of the information # would be missing (ERR!), for example: # # +-----------------------------------------------------------------------------+ # | NVIDIA-SMI 525.89.02 Driver Version: 525.89.02 CUDA Version: 12.0 | # |-------------------------------+----------------------+----------------------+ # | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | # | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | # | | | MIG M. | # |===============================+======================+======================| # | 0 ERR! Off | 00000000:00:1E.0 Off | ERR! | # |ERR! ERR! ERR! ERR! / ERR! | 4184MiB / 23028MiB | ERR! Default | # | | | ERR! | # +-------------------------------+----------------------+----------------------+ # # +-----------------------------------------------------------------------------+ # | Processes: | # | GPU GI CI PID Type Process name GPU Memory | # | ID ID Usage | # |=============================================================================| # +-----------------------------------------------------------------------------+ # # This should be reported as a failure instead as it will guarantee to fail when # Docker tries to run with --gpus all # # So, the correct check here is to query one of the missing piece of info like # GPU name, so that the command can fail accordingly nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 NVIDIA_SMI_STATUS=$? # Allowable exit statuses for nvidia-smi, see: https://github.com/NVIDIA/gpu-operator/issues/285 if [ "$NVIDIA_SMI_STATUS" -eq 0 ] || [ "$NVIDIA_SMI_STATUS" -eq 14 ]; then echo "INFO: Ignoring allowed status ${NVIDIA_SMI_STATUS}" else echo "ERROR: nvidia-smi exited with unresolved status ${NVIDIA_SMI_STATUS}" exit ${NVIDIA_SMI_STATUS} fi set -e ) ) } install_nvidia_driver_amzn2() { ( set -x pre_install_nvidia_driver_amzn2 install_nvidia_driver_common post_install_nvidia_driver_common ) } install_nvidia_driver_ubuntu20() { ( set -x install_nvidia_driver_common post_install_nvidia_driver_common ) } echo "== Installing nvidia driver ${DRIVER_FN} ==" case "${DISTRIBUTION}" in amzn*) install_nvidia_driver_amzn2 ;; ubuntu20.04) install_nvidia_driver_ubuntu20 ;; *) echo "ERROR: Unknown distribution ${DISTRIBUTION}" exit 1 ;; esac # Install container toolkit based on distribution echo "== Installing nvidia container toolkit for ${DISTRIBUTION} ==" case "${DISTRIBUTION}" in amzn*) install_nvidia_docker2_amzn2 ;; ubuntu20.04) install_nvidia_docker2_ubuntu20 ;; *) echo "ERROR: Unknown distribution ${DISTRIBUTION}" exit 1 ;; esac # Fix https://github.com/NVIDIA/nvidia-docker/issues/1648 on runners with # more than one GPUs. This just needs to be run once. The command fails # on subsequent runs and complains that the mode is already on, but that's # ok sudo nvidia-persistenced || true # This should show persistence mode ON nvidia-smi # check if the container-toolkit is correctly installed and CUDA is available inside a container docker run --rm -t --gpus=all public.ecr.aws/docker/library/python:3.13 nvidia-smi 2025-12-04T09:26:22.4013651Z retry_wait_seconds: 10 2025-12-04T09:26:22.4013867Z polling_interval_seconds: 1 2025-12-04T09:26:22.4014077Z warning_on_retry: true 2025-12-04T09:26:22.4014280Z continue_on_error: false 2025-12-04T09:26:22.4014469Z env: 2025-12-04T09:26:22.4014625Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:26:22.4014815Z HAS_NVIDIA_GPU: true 2025-12-04T09:26:22.4015049Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:26:22.4015314Z DRIVER_VERSION: 580.82.07 2025-12-04T09:26:22.4015510Z ##[endgroup] 2025-12-04T09:26:22.5420321Z == Installing nvidia driver NVIDIA-Linux-x86_64-580.82.07.run == 2025-12-04T09:26:22.5426039Z + pre_install_nvidia_driver_amzn2 2025-12-04T09:26:22.5432212Z + sudo yum remove -y nvidia-driver-latest-dkms 2025-12-04T09:26:23.2079983Z No match for argument: nvidia-driver-latest-dkms 2025-12-04T09:26:23.2080710Z No packages marked for removal. 2025-12-04T09:26:23.2137400Z Dependencies resolved. 2025-12-04T09:26:23.2146468Z Nothing to do. 2025-12-04T09:26:23.2147511Z Complete! 2025-12-04T09:26:23.2861754Z + install_nvidia_driver_common 2025-12-04T09:26:23.2865759Z + echo 'Before installing NVIDIA driver' 2025-12-04T09:26:23.2866360Z + lspci 2025-12-04T09:26:23.2867195Z Before installing NVIDIA driver 2025-12-04T09:26:23.3877382Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T09:26:23.3877900Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T09:26:23.3878445Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T09:26:23.3878986Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T09:26:23.3879506Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T09:26:23.3879935Z 01:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3880257Z 02:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3880577Z 03:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3880880Z 03:00.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3881180Z 03:00.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3881761Z 03:00.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3882114Z 03:00.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3882411Z 03:00.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3882710Z 03:00.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3883011Z 03:00.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3883452Z 03:01.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3883749Z 03:01.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3884048Z 03:01.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3884338Z 03:01.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3884634Z 03:01.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3884934Z 03:01.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3885279Z 03:01.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3885627Z 03:01.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3886006Z 03:02.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3886361Z 03:02.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3886678Z 03:02.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3886966Z 03:02.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3887252Z 03:02.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3887517Z 03:02.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3887758Z 03:02.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3887998Z 03:02.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3888257Z 03:03.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3888496Z 03:03.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3888734Z 03:03.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3888975Z 03:03.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3889208Z 03:03.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3889453Z 03:03.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3889690Z 03:03.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3889928Z 03:03.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3890164Z 24:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3890404Z 25:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3890660Z 26:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3890901Z 26:00.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3891154Z 26:00.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3891395Z 26:00.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3891627Z 26:00.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3891869Z 26:00.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3892106Z 26:00.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3892348Z 26:00.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3892586Z 26:01.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3892908Z 27:00.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T09:26:23.3893264Z 30:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3893513Z 31:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3893758Z 32:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3894008Z 32:00.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3894245Z 32:00.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3894488Z 32:00.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3894812Z 33:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:26:23.3895212Z 34:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:26:23.3895596Z 35:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:26:23.3895974Z 36:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:26:23.3896381Z 37:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3896667Z 38:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1) 2025-12-04T09:26:23.3896958Z 39:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3897232Z 3a:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1) 2025-12-04T09:26:23.3897582Z 3b:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3897848Z 3c:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1) 2025-12-04T09:26:23.3898118Z 3d:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:23.3898397Z 3e:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1) 2025-12-04T09:26:23.3898648Z + lsmod 2025-12-04T09:26:23.3942756Z Module Size Used by 2025-12-04T09:26:23.3943350Z nvidia_uvm 1925120 0 2025-12-04T09:26:23.3943862Z nvidia 14286848 1 nvidia_uvm 2025-12-04T09:26:23.3944417Z drm 602112 1 nvidia 2025-12-04T09:26:23.3944983Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T09:26:23.3945537Z backlight 24576 1 drm 2025-12-04T09:26:23.3945981Z i2c_core 110592 2 nvidia,drm 2025-12-04T09:26:23.3946414Z xt_conntrack 16384 1 2025-12-04T09:26:23.3946787Z nft_chain_nat 16384 3 2025-12-04T09:26:23.3947154Z xt_MASQUERADE 20480 1 2025-12-04T09:26:23.3947620Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T09:26:23.3948109Z nf_conntrack_netlink 57344 0 2025-12-04T09:26:23.3948698Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T09:26:23.3949356Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T09:26:23.3949809Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T09:26:23.3950222Z xfrm_user 57344 1 2025-12-04T09:26:23.3950606Z xfrm_algo 16384 1 xfrm_user 2025-12-04T09:26:23.3951024Z xt_addrtype 16384 2 2025-12-04T09:26:23.3951375Z nft_compat 20480 4 2025-12-04T09:26:23.3951826Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T09:26:23.3952433Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T09:26:23.3952975Z br_netfilter 36864 0 2025-12-04T09:26:23.3953366Z bridge 323584 1 br_netfilter 2025-12-04T09:26:23.3953822Z stp 16384 1 bridge 2025-12-04T09:26:23.3954236Z llc 16384 2 bridge,stp 2025-12-04T09:26:23.3954650Z overlay 167936 0 2025-12-04T09:26:23.3954999Z tls 139264 0 2025-12-04T09:26:23.3955340Z nls_ascii 16384 1 2025-12-04T09:26:23.3955706Z nls_cp437 20480 1 2025-12-04T09:26:23.3956053Z vfat 24576 1 2025-12-04T09:26:23.3956273Z sunrpc 700416 1 2025-12-04T09:26:23.3956451Z fat 86016 1 vfat 2025-12-04T09:26:23.3956652Z ghash_clmulni_intel 16384 0 2025-12-04T09:26:23.3956842Z i8042 45056 0 2025-12-04T09:26:23.3957018Z ena 184320 0 2025-12-04T09:26:23.3957205Z serio 28672 3 i8042 2025-12-04T09:26:23.3957418Z button 24576 0 2025-12-04T09:26:23.3957599Z sch_fq_codel 20480 9 2025-12-04T09:26:23.3957786Z dm_mod 188416 0 2025-12-04T09:26:23.3957966Z fuse 184320 1 2025-12-04T09:26:23.3958143Z loop 36864 0 2025-12-04T09:26:23.3958323Z configfs 57344 1 2025-12-04T09:26:23.3958507Z dmi_sysfs 20480 0 2025-12-04T09:26:23.3958694Z crc32_pclmul 16384 0 2025-12-04T09:26:23.3958883Z crc32c_intel 24576 0 2025-12-04T09:26:23.3959068Z efivarfs 24576 1 2025-12-04T09:26:23.3959320Z + modinfo nvidia 2025-12-04T09:26:23.3970090Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T09:26:23.3971000Z import_ns: DMA_BUF 2025-12-04T09:26:23.3971477Z alias: char-major-195-* 2025-12-04T09:26:23.3972332Z version: 580.82.07 2025-12-04T09:26:23.3972795Z supported: external 2025-12-04T09:26:23.3973240Z license: Dual MIT/GPL 2025-12-04T09:26:23.3973751Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-12-04T09:26:23.3974329Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-12-04T09:26:23.3974889Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-12-04T09:26:23.3975858Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-12-04T09:26:23.3976453Z alias: of:N*T*Cnvidia,tegra264-display 2025-12-04T09:26:23.3976755Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-12-04T09:26:23.3977006Z alias: of:N*T*Cnvidia,tegra234-display 2025-12-04T09:26:23.3977254Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T09:26:23.3977493Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T09:26:23.3977735Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T09:26:23.3977967Z depends: i2c-core,drm 2025-12-04T09:26:23.3978152Z retpoline: Y 2025-12-04T09:26:23.3978319Z name: nvidia 2025-12-04T09:26:23.3978592Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T09:26:23.3978943Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T09:26:23.3979280Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T09:26:23.3979596Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T09:26:23.3979826Z parm: NVreg_RmLogonRC:int 2025-12-04T09:26:23.3980043Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T09:26:23.3980289Z parm: NVreg_DeviceFileUID:int 2025-12-04T09:26:23.3980510Z parm: NVreg_DeviceFileGID:int 2025-12-04T09:26:23.3980728Z parm: NVreg_DeviceFileMode:int 2025-12-04T09:26:23.3980995Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T09:26:23.3981284Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T09:26:23.3981522Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T09:26:23.3981749Z parm: NVreg_EnableMSI:int 2025-12-04T09:26:23.3981977Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T09:26:23.3982241Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T09:26:23.3982538Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T09:26:23.3982822Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T09:26:23.3983133Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T09:26:23.3983429Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T09:26:23.3983743Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T09:26:23.3984051Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T09:26:23.3984293Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T09:26:23.3984578Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T09:26:23.3984856Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T09:26:23.3985113Z parm: NVreg_MemoryPoolSize:int 2025-12-04T09:26:23.3985350Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T09:26:23.3985593Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T09:26:23.3985831Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T09:26:23.3986055Z parm: NVreg_NvLinkDisable:int 2025-12-04T09:26:23.3986310Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T09:26:23.3986581Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T09:26:23.3986834Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-12-04T09:26:23.3987101Z parm: NVreg_EnableResizableBar:int 2025-12-04T09:26:23.3987352Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T09:26:23.3987600Z parm: NVreg_EnableNonblockingOpen:int 2025-12-04T09:26:23.3987861Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-12-04T09:26:23.3988112Z parm: NVreg_RegistryDwords:charp 2025-12-04T09:26:23.3988360Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T09:26:23.3988701Z parm: NVreg_RmMsg:charp 2025-12-04T09:26:23.3988919Z parm: NVreg_GpuBlacklist:charp 2025-12-04T09:26:23.3989155Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T09:26:23.3989386Z parm: NVreg_ExcludedGpus:charp 2025-12-04T09:26:23.3989614Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T09:26:23.3989973Z parm: NVreg_RmNvlinkBandwidth:charp 2025-12-04T09:26:23.3990233Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-12-04T09:26:23.3990490Z parm: NVreg_ImexChannelCount:int 2025-12-04T09:26:23.3990729Z parm: NVreg_CreateImexChannel0:int 2025-12-04T09:26:23.3990982Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-12-04T09:26:23.3991225Z parm: rm_firmware_active:charp 2025-12-04T09:26:23.3991455Z + HAS_NVIDIA_DRIVER=0 2025-12-04T09:26:23.3991634Z ++ command -v nvidia-smi 2025-12-04T09:26:23.3991821Z + '[' -x /usr/bin/nvidia-smi ']' 2025-12-04T09:26:23.3992012Z + set +e 2025-12-04T09:26:23.3992250Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-12-04T09:26:26.7631853Z + INSTALLED_DRIVER_VERSION=580.82.07 2025-12-04T09:26:26.7632473Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:26:26.7632957Z + '[' 0 -ne 0 ']' 2025-12-04T09:26:26.7633611Z + '[' 580.82.07 '!=' 580.82.07 ']' 2025-12-04T09:26:26.7634391Z + HAS_NVIDIA_DRIVER=1 2025-12-04T09:26:26.7635698Z + echo 'NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation' 2025-12-04T09:26:26.7637136Z + set -e 2025-12-04T09:26:26.7637707Z + '[' 1 -eq 0 ']' 2025-12-04T09:26:26.7638618Z NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation 2025-12-04T09:26:26.7639305Z + post_install_nvidia_driver_common 2025-12-04T09:26:26.7642853Z + sudo modprobe nvidia 2025-12-04T09:26:26.9018358Z + echo 'After installing NVIDIA driver' 2025-12-04T09:26:26.9018708Z + lspci 2025-12-04T09:26:26.9018949Z After installing NVIDIA driver 2025-12-04T09:26:26.9229132Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T09:26:26.9230169Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T09:26:26.9231228Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T09:26:26.9232236Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T09:26:26.9233131Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T09:26:26.9233965Z 01:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9234589Z 02:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9235233Z 03:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9235833Z 03:00.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9236406Z 03:00.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9237258Z 03:00.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9237968Z 03:00.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9238556Z 03:00.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9238983Z 03:00.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9239299Z 03:00.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9239548Z 03:01.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9239789Z 03:01.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9240043Z 03:01.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9240292Z 03:01.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9240543Z 03:01.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9240792Z 03:01.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9241055Z 03:01.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9241300Z 03:01.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9241555Z 03:02.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9241799Z 03:02.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9242268Z 03:02.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9242548Z 03:02.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9242793Z 03:02.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9243042Z 03:02.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9243294Z 03:02.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9243712Z 03:02.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9243971Z 03:03.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9244212Z 03:03.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9244457Z 03:03.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9244700Z 03:03.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9244950Z 03:03.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9245202Z 03:03.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9245446Z 03:03.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9245700Z 03:03.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9245954Z 24:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9246201Z 25:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9246443Z 26:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9246684Z 26:00.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9246952Z 26:00.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9247199Z 26:00.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9247439Z 26:00.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9247687Z 26:00.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9247957Z 26:00.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9248207Z 26:00.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9248465Z 26:01.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9248792Z 27:00.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T09:26:26.9249128Z 30:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9249369Z 31:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9249614Z 32:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9249860Z 32:00.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9250098Z 32:00.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9250353Z 32:00.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9250681Z 33:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:26:26.9251074Z 34:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:26:26.9251457Z 35:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:26:26.9251839Z 36:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:26:26.9252163Z 37:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9252446Z 38:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1) 2025-12-04T09:26:26.9252740Z 39:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9253026Z 3a:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1) 2025-12-04T09:26:26.9253302Z 3b:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9253577Z 3c:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1) 2025-12-04T09:26:26.9253857Z 3d:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:26:26.9254126Z 3e:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1) 2025-12-04T09:26:26.9254378Z + lsmod 2025-12-04T09:26:26.9268247Z Module Size Used by 2025-12-04T09:26:26.9268799Z nvidia_uvm 1925120 0 2025-12-04T09:26:26.9269017Z nvidia 14286848 1 nvidia_uvm 2025-12-04T09:26:26.9269251Z drm 602112 1 nvidia 2025-12-04T09:26:26.9269488Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T09:26:26.9269731Z backlight 24576 1 drm 2025-12-04T09:26:26.9269957Z i2c_core 110592 2 nvidia,drm 2025-12-04T09:26:26.9270304Z xt_conntrack 16384 1 2025-12-04T09:26:26.9270524Z nft_chain_nat 16384 3 2025-12-04T09:26:26.9270728Z xt_MASQUERADE 20480 1 2025-12-04T09:26:26.9270960Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T09:26:26.9271216Z nf_conntrack_netlink 57344 0 2025-12-04T09:26:26.9271604Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T09:26:26.9271952Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T09:26:26.9272190Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T09:26:26.9272408Z xfrm_user 57344 1 2025-12-04T09:26:26.9272607Z xfrm_algo 16384 1 xfrm_user 2025-12-04T09:26:26.9272824Z xt_addrtype 16384 2 2025-12-04T09:26:26.9273012Z nft_compat 20480 4 2025-12-04T09:26:26.9273235Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T09:26:26.9273558Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T09:26:26.9273857Z br_netfilter 36864 0 2025-12-04T09:26:26.9274061Z bridge 323584 1 br_netfilter 2025-12-04T09:26:26.9274284Z stp 16384 1 bridge 2025-12-04T09:26:26.9274505Z llc 16384 2 bridge,stp 2025-12-04T09:26:26.9274712Z overlay 167936 0 2025-12-04T09:26:26.9274907Z tls 139264 0 2025-12-04T09:26:26.9275092Z nls_ascii 16384 1 2025-12-04T09:26:26.9275278Z nls_cp437 20480 1 2025-12-04T09:26:26.9275456Z vfat 24576 1 2025-12-04T09:26:26.9275652Z sunrpc 700416 1 2025-12-04T09:26:26.9275847Z fat 86016 1 vfat 2025-12-04T09:26:26.9276049Z ghash_clmulni_intel 16384 0 2025-12-04T09:26:26.9276237Z i8042 45056 0 2025-12-04T09:26:26.9276413Z ena 184320 0 2025-12-04T09:26:26.9276591Z serio 28672 3 i8042 2025-12-04T09:26:26.9276803Z button 24576 0 2025-12-04T09:26:26.9276990Z sch_fq_codel 20480 9 2025-12-04T09:26:26.9277175Z dm_mod 188416 0 2025-12-04T09:26:26.9277353Z fuse 184320 1 2025-12-04T09:26:26.9277543Z loop 36864 0 2025-12-04T09:26:26.9277716Z configfs 57344 1 2025-12-04T09:26:26.9277909Z dmi_sysfs 20480 0 2025-12-04T09:26:26.9278094Z crc32_pclmul 16384 0 2025-12-04T09:26:26.9278277Z crc32c_intel 24576 0 2025-12-04T09:26:26.9278453Z efivarfs 24576 1 2025-12-04T09:26:26.9278642Z + modinfo nvidia 2025-12-04T09:26:26.9286919Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T09:26:26.9287318Z import_ns: DMA_BUF 2025-12-04T09:26:26.9287508Z alias: char-major-195-* 2025-12-04T09:26:26.9287731Z version: 580.82.07 2025-12-04T09:26:26.9287928Z supported: external 2025-12-04T09:26:26.9288300Z license: Dual MIT/GPL 2025-12-04T09:26:26.9288821Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-12-04T09:26:26.9289445Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-12-04T09:26:26.9290023Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-12-04T09:26:26.9290622Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-12-04T09:26:26.9291271Z alias: of:N*T*Cnvidia,tegra264-display 2025-12-04T09:26:26.9291887Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-12-04T09:26:26.9292503Z alias: of:N*T*Cnvidia,tegra234-display 2025-12-04T09:26:26.9293089Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T09:26:26.9293659Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T09:26:26.9294241Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T09:26:26.9294800Z depends: i2c-core,drm 2025-12-04T09:26:26.9295251Z retpoline: Y 2025-12-04T09:26:26.9295631Z name: nvidia 2025-12-04T09:26:26.9296300Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T09:26:26.9298922Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T09:26:26.9299413Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T09:26:26.9299731Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T09:26:26.9299969Z parm: NVreg_RmLogonRC:int 2025-12-04T09:26:26.9300307Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T09:26:26.9300548Z parm: NVreg_DeviceFileUID:int 2025-12-04T09:26:26.9300773Z parm: NVreg_DeviceFileGID:int 2025-12-04T09:26:26.9301007Z parm: NVreg_DeviceFileMode:int 2025-12-04T09:26:26.9301271Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T09:26:26.9301559Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T09:26:26.9301806Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T09:26:26.9302020Z parm: NVreg_EnableMSI:int 2025-12-04T09:26:26.9302257Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T09:26:26.9302530Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T09:26:26.9302837Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T09:26:26.9303113Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T09:26:26.9303424Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T09:26:26.9303735Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T09:26:26.9304047Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T09:26:26.9304353Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T09:26:26.9304605Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T09:26:26.9304876Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T09:26:26.9305169Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T09:26:26.9305417Z parm: NVreg_MemoryPoolSize:int 2025-12-04T09:26:26.9305652Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T09:26:26.9305894Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T09:26:26.9306145Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T09:26:26.9306381Z parm: NVreg_NvLinkDisable:int 2025-12-04T09:26:26.9306631Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T09:26:26.9306896Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T09:26:26.9307155Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-12-04T09:26:26.9307419Z parm: NVreg_EnableResizableBar:int 2025-12-04T09:26:26.9307669Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T09:26:26.9307939Z parm: NVreg_EnableNonblockingOpen:int 2025-12-04T09:26:26.9308200Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-12-04T09:26:26.9308446Z parm: NVreg_RegistryDwords:charp 2025-12-04T09:26:26.9308696Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T09:26:26.9308943Z parm: NVreg_RmMsg:charp 2025-12-04T09:26:26.9309162Z parm: NVreg_GpuBlacklist:charp 2025-12-04T09:26:26.9309411Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T09:26:26.9309651Z parm: NVreg_ExcludedGpus:charp 2025-12-04T09:26:26.9309891Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T09:26:26.9310133Z parm: NVreg_RmNvlinkBandwidth:charp 2025-12-04T09:26:26.9310394Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-12-04T09:26:26.9310653Z parm: NVreg_ImexChannelCount:int 2025-12-04T09:26:26.9310892Z parm: NVreg_CreateImexChannel0:int 2025-12-04T09:26:26.9311169Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-12-04T09:26:26.9311423Z parm: rm_firmware_active:charp 2025-12-04T09:26:26.9311640Z + set +e 2025-12-04T09:26:26.9311790Z + nvidia-smi 2025-12-04T09:26:29.5563839Z Thu Dec 4 09:26:29 2025 2025-12-04T09:26:29.5564694Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:26:29.5565656Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:26:29.5567161Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:26:29.5568091Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:26:29.5569065Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:26:29.5570152Z | | | MIG M. | 2025-12-04T09:26:29.5570661Z |=========================================+========================+======================| 2025-12-04T09:26:29.5839301Z | 0 NVIDIA L4 Off | 00000000:38:00.0 Off | 0 | 2025-12-04T09:26:29.5840158Z | N/A 43C P0 28W / 72W | 0MiB / 23034MiB | 0% Default | 2025-12-04T09:26:29.5840856Z | | | N/A | 2025-12-04T09:26:29.5841554Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:26:29.5842321Z | 1 NVIDIA L4 Off | 00000000:3A:00.0 Off | 0 | 2025-12-04T09:26:29.5843059Z | N/A 42C P0 28W / 72W | 0MiB / 23034MiB | 0% Default | 2025-12-04T09:26:29.5843715Z | | | N/A | 2025-12-04T09:26:29.5844400Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:26:29.5845163Z | 2 NVIDIA L4 Off | 00000000:3C:00.0 Off | 0 | 2025-12-04T09:26:29.5845890Z | N/A 44C P0 27W / 72W | 0MiB / 23034MiB | 0% Default | 2025-12-04T09:26:29.5846539Z | | | N/A | 2025-12-04T09:26:29.5847199Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:26:29.5847987Z | 3 NVIDIA L4 Off | 00000000:3E:00.0 Off | 0 | 2025-12-04T09:26:29.5848710Z | N/A 43C P0 28W / 72W | 0MiB / 23034MiB | 3% Default | 2025-12-04T09:26:29.5849345Z | | | N/A | 2025-12-04T09:26:29.5850033Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:26:29.5850546Z 2025-12-04T09:26:29.5850766Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:26:29.5851083Z | Processes: | 2025-12-04T09:26:29.5851404Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:26:29.5851706Z | ID ID Usage | 2025-12-04T09:26:29.5851965Z |=========================================================================================| 2025-12-04T09:26:29.5864069Z | No running processes found | 2025-12-04T09:26:29.5864936Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:26:30.8689805Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 2025-12-04T09:26:33.4996884Z NVIDIA L4 2025-12-04T09:26:34.2339856Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:26:34.2340152Z + '[' 0 -eq 0 ']' 2025-12-04T09:26:34.2340350Z + echo 'INFO: Ignoring allowed status 0' 2025-12-04T09:26:34.2340576Z + set -e 2025-12-04T09:26:34.2340739Z INFO: Ignoring allowed status 0 2025-12-04T09:26:34.2352198Z == Installing nvidia container toolkit for amzn2023 == 2025-12-04T09:26:34.2356711Z + sudo yum install -y yum-utils 2025-12-04T09:26:34.6492444Z Last metadata expiration check: 0:11:49 ago on Thu Dec 4 09:14:45 2025. 2025-12-04T09:26:34.6741289Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed. 2025-12-04T09:26:34.7166534Z Dependencies resolved. 2025-12-04T09:26:34.7406149Z Nothing to do. 2025-12-04T09:26:34.7406427Z Complete! 2025-12-04T09:26:34.8156991Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]] 2025-12-04T09:26:34.8174883Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:26:34.8175932Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:26:35.1318862Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:26:35.1809509Z + sudo yum install -y nvidia-container-toolkit-1.17.8 libnvidia-container-tools-1.17.8 libnvidia-container1-1.17.8 nvidia-container-toolkit-base-1.17.8 2025-12-04T09:26:35.6704201Z nvidia-container-toolkit 19 kB/s | 833 B 00:00 2025-12-04T09:26:35.7418670Z Dependencies resolved. 2025-12-04T09:26:35.7647900Z ================================================================================ 2025-12-04T09:26:35.7648741Z Package Arch Version Repository Size 2025-12-04T09:26:35.7649439Z ================================================================================ 2025-12-04T09:26:35.7649980Z Downgrading: 2025-12-04T09:26:35.7650653Z libnvidia-container-tools x86_64 1.17.8-1 nvidia-container-toolkit 40 k 2025-12-04T09:26:35.7651685Z libnvidia-container1 x86_64 1.17.8-1 nvidia-container-toolkit 1.0 M 2025-12-04T09:26:35.7652690Z nvidia-container-toolkit x86_64 1.17.8-1 nvidia-container-toolkit 1.2 M 2025-12-04T09:26:35.7653689Z nvidia-container-toolkit-base x86_64 1.17.8-1 nvidia-container-toolkit 5.8 M 2025-12-04T09:26:35.7654318Z 2025-12-04T09:26:35.7654482Z Transaction Summary 2025-12-04T09:26:35.7654915Z ================================================================================ 2025-12-04T09:26:35.7655252Z Downgrade 4 Packages 2025-12-04T09:26:35.7655370Z 2025-12-04T09:26:35.7655455Z Total download size: 8.0 M 2025-12-04T09:26:35.7655657Z Downloading Packages: 2025-12-04T09:26:36.0600674Z (1/4): libnvidia-container-tools-1.17.8-1.x86_6 138 kB/s | 40 kB 00:00 2025-12-04T09:26:36.1545552Z (2/4): libnvidia-container1-1.17.8-1.x86_64.rpm 2.5 MB/s | 1.0 MB 00:00 2025-12-04T09:26:36.2151983Z (3/4): nvidia-container-toolkit-1.17.8-1.x86_64 2.8 MB/s | 1.2 MB 00:00 2025-12-04T09:26:36.4013719Z (4/4): nvidia-container-toolkit-base-1.17.8-1.x 17 MB/s | 5.8 MB 00:00 2025-12-04T09:26:36.4029611Z -------------------------------------------------------------------------------- 2025-12-04T09:26:36.4034036Z Total 13 MB/s | 8.0 MB 00:00 2025-12-04T09:26:36.4037205Z Running transaction check 2025-12-04T09:26:36.4164495Z Transaction check succeeded. 2025-12-04T09:26:36.4165187Z Running transaction test 2025-12-04T09:26:36.4604148Z Transaction test succeeded. 2025-12-04T09:26:36.4607749Z Running transaction 2025-12-04T09:26:37.1047910Z Preparing : 1/1 2025-12-04T09:26:37.3371982Z Downgrading : nvidia-container-toolkit-base-1.17.8-1.x86_64 1/8 2025-12-04T09:26:37.3904267Z Downgrading : libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T09:26:37.5514318Z Running scriptlet: libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T09:26:37.6616802Z Downgrading : libnvidia-container-tools-1.17.8-1.x86_64 3/8 2025-12-04T09:26:37.7174734Z Downgrading : nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T09:26:37.8114530Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T09:26:37.8185715Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:26:37.8186749Z Cleanup : nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:26:37.8770733Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:26:37.8846287Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:26:37.8848592Z Cleanup : libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:26:37.9308713Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:26:37.9382479Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:26:37.9383584Z Cleanup : libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:26:37.9764273Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:26:37.9832746Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:26:37.9833884Z Cleanup : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:26:38.0634104Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:26:38.1162765Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 8/8 2025-12-04T09:27:57.2293455Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:27:57.2294625Z Verifying : libnvidia-container-tools-1.17.8-1.x86_64 1/8 2025-12-04T09:27:57.2295690Z Verifying : libnvidia-container-tools-1.18.1-1.x86_64 2/8 2025-12-04T09:27:57.2296656Z Verifying : libnvidia-container1-1.17.8-1.x86_64 3/8 2025-12-04T09:27:57.2297572Z Verifying : libnvidia-container1-1.18.1-1.x86_64 4/8 2025-12-04T09:27:57.2298470Z Verifying : nvidia-container-toolkit-1.17.8-1.x86_64 5/8 2025-12-04T09:27:57.2299413Z Verifying : nvidia-container-toolkit-1.18.1-1.x86_64 6/8 2025-12-04T09:27:57.2300342Z Verifying : nvidia-container-toolkit-base-1.17.8-1.x86_64 7/8 2025-12-04T09:27:57.3680415Z Verifying : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8================================================================================ 2025-12-04T09:27:57.3681514Z WARNING: 2025-12-04T09:27:57.3681977Z A newer release of "Amazon Linux" is available. 2025-12-04T09:27:57.3682429Z 2025-12-04T09:27:57.3682602Z Available Versions: 2025-12-04T09:27:57.3682909Z 2025-12-04T09:27:57.3683079Z Version 2023.9.20250929: 2025-12-04T09:27:57.3683651Z Run the following command to upgrade to 2023.9.20250929: 2025-12-04T09:27:57.3684120Z 2025-12-04T09:27:57.3684362Z dnf upgrade --releasever=2023.9.20250929 2025-12-04T09:27:57.3684745Z 2025-12-04T09:27:57.3684926Z Release notes: 2025-12-04T09:27:57.3685678Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20250929.html 2025-12-04T09:27:57.3686375Z 2025-12-04T09:27:57.3686535Z Version 2023.9.20251014: 2025-12-04T09:27:57.3687100Z Run the following command to upgrade to 2023.9.20251014: 2025-12-04T09:27:57.3687559Z 2025-12-04T09:27:57.3687768Z dnf upgrade --releasever=2023.9.20251014 2025-12-04T09:27:57.3688153Z 2025-12-04T09:27:57.3688302Z Release notes: 2025-12-04T09:27:57.3689016Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251014.html 2025-12-04T09:27:57.3689687Z 2025-12-04T09:27:57.3689849Z Version 2023.9.20251020: 2025-12-04T09:27:57.3690381Z Run the following command to upgrade to 2023.9.20251020: 2025-12-04T09:27:57.3690830Z 2025-12-04T09:27:57.3691034Z dnf upgrade --releasever=2023.9.20251020 2025-12-04T09:27:57.3691321Z 2025-12-04T09:27:57.3691393Z Release notes: 2025-12-04T09:27:57.3691684Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251020.html 2025-12-04T09:27:57.3691968Z 2025-12-04T09:27:57.3692041Z Version 2023.9.20251027: 2025-12-04T09:27:57.3692273Z Run the following command to upgrade to 2023.9.20251027: 2025-12-04T09:27:57.3692711Z 2025-12-04T09:27:57.3692821Z dnf upgrade --releasever=2023.9.20251027 2025-12-04T09:27:57.3692989Z 2025-12-04T09:27:57.3693054Z Release notes: 2025-12-04T09:27:57.3693385Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251027.html 2025-12-04T09:27:57.3693689Z 2025-12-04T09:27:57.3693942Z Version 2023.9.20251105: 2025-12-04T09:27:57.3694184Z Run the following command to upgrade to 2023.9.20251105: 2025-12-04T09:27:57.3694378Z 2025-12-04T09:27:57.3694467Z dnf upgrade --releasever=2023.9.20251105 2025-12-04T09:27:57.3694636Z 2025-12-04T09:27:57.3694702Z Release notes: 2025-12-04T09:27:57.3695005Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251105.html 2025-12-04T09:27:57.3695282Z 2025-12-04T09:27:57.3695348Z Version 2023.9.20251110: 2025-12-04T09:27:57.3695577Z Run the following command to upgrade to 2023.9.20251110: 2025-12-04T09:27:57.3695767Z 2025-12-04T09:27:57.3695865Z dnf upgrade --releasever=2023.9.20251110 2025-12-04T09:27:57.3696023Z 2025-12-04T09:27:57.3696093Z Release notes: 2025-12-04T09:27:57.3696379Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251110.html 2025-12-04T09:27:57.3696664Z 2025-12-04T09:27:57.3696727Z Version 2023.9.20251117: 2025-12-04T09:27:57.3696957Z Run the following command to upgrade to 2023.9.20251117: 2025-12-04T09:27:57.3697141Z 2025-12-04T09:27:57.3697227Z dnf upgrade --releasever=2023.9.20251117 2025-12-04T09:27:57.3697382Z 2025-12-04T09:27:57.3697444Z Release notes: 2025-12-04T09:27:57.3697733Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251117.html 2025-12-04T09:27:57.3698006Z 2025-12-04T09:27:57.3698100Z ================================================================================ 2025-12-04T09:27:57.4147514Z 2025-12-04T09:27:57.4147764Z 2025-12-04T09:27:57.4147920Z Downgraded: 2025-12-04T09:27:57.4148600Z libnvidia-container-tools-1.17.8-1.x86_64 2025-12-04T09:27:57.4149596Z libnvidia-container1-1.17.8-1.x86_64 2025-12-04T09:27:57.4150583Z nvidia-container-toolkit-1.17.8-1.x86_64 2025-12-04T09:27:57.4151572Z nvidia-container-toolkit-base-1.17.8-1.x86_64 2025-12-04T09:27:57.4151857Z 2025-12-04T09:27:57.4151927Z Complete! 2025-12-04T09:27:57.4616566Z + sudo systemctl restart docker 2025-12-04T09:28:10.8160027Z Thu Dec 4 09:28:10 2025 2025-12-04T09:28:10.8160836Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:28:10.8161657Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:28:10.8162407Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:28:10.8163184Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:28:10.8163988Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:28:10.8164623Z | | | MIG M. | 2025-12-04T09:28:10.8165107Z |=========================================+========================+======================| 2025-12-04T09:28:10.8444657Z | 0 NVIDIA L4 On | 00000000:38:00.0 Off | 0 | 2025-12-04T09:28:10.8445535Z | N/A 43C P0 28W / 72W | 0MiB / 23034MiB | 0% Default | 2025-12-04T09:28:10.8446220Z | | | N/A | 2025-12-04T09:28:10.8446912Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:28:10.8447694Z | 1 NVIDIA L4 On | 00000000:3A:00.0 Off | 0 | 2025-12-04T09:28:10.8449082Z | N/A 41C P0 27W / 72W | 0MiB / 23034MiB | 0% Default | 2025-12-04T09:28:10.8449870Z | | | N/A | 2025-12-04T09:28:10.8450581Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:28:10.8451222Z | 2 NVIDIA L4 On | 00000000:3C:00.0 Off | 0 | 2025-12-04T09:28:10.8451545Z | N/A 44C P0 27W / 72W | 0MiB / 23034MiB | 0% Default | 2025-12-04T09:28:10.8451844Z | | | N/A | 2025-12-04T09:28:10.8452145Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:28:10.8452466Z | 3 NVIDIA L4 On | 00000000:3E:00.0 Off | 0 | 2025-12-04T09:28:10.8452778Z | N/A 43C P0 30W / 72W | 0MiB / 23034MiB | 4% Default | 2025-12-04T09:28:10.8453055Z | | | N/A | 2025-12-04T09:28:10.8453337Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:28:10.8453550Z 2025-12-04T09:28:10.8453673Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:28:10.8453996Z | Processes: | 2025-12-04T09:28:10.8454323Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:28:10.8454622Z | ID ID Usage | 2025-12-04T09:28:10.8454876Z |=========================================================================================| 2025-12-04T09:28:10.8469834Z | No running processes found | 2025-12-04T09:28:10.8470699Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:28:11.4423679Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally 2025-12-04T09:28:11.6981478Z 3.13: Pulling from docker/library/python 2025-12-04T09:28:11.7901296Z 53c88f1dfeb7: Pulling fs layer 2025-12-04T09:28:11.7902015Z eae668646f44: Pulling fs layer 2025-12-04T09:28:11.7902636Z ff2e6e687b6c: Pulling fs layer 2025-12-04T09:28:11.7903201Z 7c40a3faff76: Pulling fs layer 2025-12-04T09:28:11.7903773Z 967a3b1c8fef: Pulling fs layer 2025-12-04T09:28:11.7904312Z a64e1a44f22a: Pulling fs layer 2025-12-04T09:28:11.7904880Z 52655f8a5bcc: Pulling fs layer 2025-12-04T09:28:11.7905387Z a64e1a44f22a: Waiting 2025-12-04T09:28:11.7905872Z 52655f8a5bcc: Waiting 2025-12-04T09:28:11.7906334Z 7c40a3faff76: Waiting 2025-12-04T09:28:11.7906600Z 967a3b1c8fef: Waiting 2025-12-04T09:28:11.9052607Z eae668646f44: Verifying Checksum 2025-12-04T09:28:11.9052992Z eae668646f44: Download complete 2025-12-04T09:28:12.0218544Z 53c88f1dfeb7: Verifying Checksum 2025-12-04T09:28:12.0218866Z 53c88f1dfeb7: Download complete 2025-12-04T09:28:12.0583020Z ff2e6e687b6c: Verifying Checksum 2025-12-04T09:28:12.0583335Z ff2e6e687b6c: Download complete 2025-12-04T09:28:12.0801690Z 967a3b1c8fef: Verifying Checksum 2025-12-04T09:28:12.0801997Z 967a3b1c8fef: Download complete 2025-12-04T09:28:12.1281916Z 52655f8a5bcc: Verifying Checksum 2025-12-04T09:28:12.1282318Z 52655f8a5bcc: Download complete 2025-12-04T09:28:12.1781673Z a64e1a44f22a: Verifying Checksum 2025-12-04T09:28:12.1781987Z a64e1a44f22a: Download complete 2025-12-04T09:28:12.5875197Z 7c40a3faff76: Verifying Checksum 2025-12-04T09:28:12.5875556Z 7c40a3faff76: Download complete 2025-12-04T09:28:13.4391283Z 53c88f1dfeb7: Pull complete 2025-12-04T09:28:14.0447203Z eae668646f44: Pull complete 2025-12-04T09:28:16.0926576Z ff2e6e687b6c: Pull complete 2025-12-04T09:28:21.5406669Z 7c40a3faff76: Pull complete 2025-12-04T09:28:21.7705265Z 967a3b1c8fef: Pull complete 2025-12-04T09:28:22.4057260Z a64e1a44f22a: Pull complete 2025-12-04T09:28:22.4319618Z 52655f8a5bcc: Pull complete 2025-12-04T09:28:22.4473502Z Digest: sha256:3f986299a7b8b44b0d8cf9bda2b22361ce5c3058ef5d7cb17fb7452506680ab0 2025-12-04T09:28:22.4524152Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13 2025-12-04T09:28:31.5723229Z Thu Dec 4 09:28:31 2025 2025-12-04T09:28:31.5724063Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:28:31.5724999Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:28:31.5725548Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:28:31.5725926Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:28:31.5726327Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:28:31.5726665Z | | | MIG M. | 2025-12-04T09:28:31.5726917Z |=========================================+========================+======================| 2025-12-04T09:28:31.6159833Z | 0 NVIDIA L4 On | 00000000:38:00.0 Off | 0 | 2025-12-04T09:28:31.6160794Z | N/A 41C P8 13W / 72W | 0MiB / 23034MiB | 0% Default | 2025-12-04T09:28:31.6161510Z | | | N/A | 2025-12-04T09:28:31.6162231Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:28:31.6162995Z | 1 NVIDIA L4 On | 00000000:3A:00.0 Off | 0 | 2025-12-04T09:28:31.6163723Z | N/A 39C P8 13W / 72W | 0MiB / 23034MiB | 0% Default | 2025-12-04T09:28:31.6164367Z | | | N/A | 2025-12-04T09:28:31.6165055Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:28:31.6165487Z | 2 NVIDIA L4 On | 00000000:3C:00.0 Off | 0 | 2025-12-04T09:28:31.6165811Z | N/A 42C P8 12W / 72W | 0MiB / 23034MiB | 0% Default | 2025-12-04T09:28:31.6166101Z | | | N/A | 2025-12-04T09:28:31.6166391Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:28:31.6166726Z | 3 NVIDIA L4 On | 00000000:3E:00.0 Off | 0 | 2025-12-04T09:28:31.6167030Z | N/A 41C P8 13W / 72W | 0MiB / 23034MiB | 0% Default | 2025-12-04T09:28:31.6167303Z | | | N/A | 2025-12-04T09:28:31.6167590Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:28:31.6180819Z 2025-12-04T09:28:31.6181232Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:28:31.6182052Z | Processes: | 2025-12-04T09:28:31.6182862Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:28:31.6183580Z | ID ID Usage | 2025-12-04T09:28:31.6184158Z |=========================================================================================| 2025-12-04T09:28:31.6212780Z | No running processes found | 2025-12-04T09:28:31.6213978Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:28:33.6170969Z Command completed after 1 attempt(s). 2025-12-04T09:28:33.6262465Z Prepare all required actions 2025-12-04T09:28:33.6286628Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T09:28:33.6286876Z with: 2025-12-04T09:28:33.6287411Z github-token: *** 2025-12-04T09:28:33.6287591Z env: 2025-12-04T09:28:33.6287744Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:33.6288139Z HAS_NVIDIA_GPU: true 2025-12-04T09:28:33.6288380Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:28:33.6288640Z ##[endgroup] 2025-12-04T09:28:33.6301481Z ##[group]Run set -eux 2025-12-04T09:28:33.6301685Z set -eux 2025-12-04T09:28:33.6302006Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:28:33.6315521Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:28:33.6315796Z env: 2025-12-04T09:28:33.6315963Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:33.6316156Z HAS_NVIDIA_GPU: true 2025-12-04T09:28:33.6316418Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:28:33.6316792Z GITHUB_TOKEN: *** 2025-12-04T09:28:33.6316963Z ##[endgroup] 2025-12-04T09:28:33.6356456Z + python3 .github/scripts/get_workflow_job_id.py 19922031852 i-08ccd78ef7edeaec7 2025-12-04T09:28:34.4591392Z Setting output job-id=57118543793 2025-12-04T09:28:34.4592115Z Setting output job-name=ci-vllm-test / test (vllm_distributed_test_28_failure_test, 1, 1, linux.g6.12xlarge.nvidia.gpu, unstable) 2025-12-04T09:28:34.4702922Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:28:34.4703507Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:28:34.4704208Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T09:28:34.4704831Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:28:34.4712755Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:28:34.4713034Z env: 2025-12-04T09:28:34.4713198Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:34.4713636Z HAS_NVIDIA_GPU: true 2025-12-04T09:28:34.4713875Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:28:34.4714144Z JOB_ID: 57118543793 2025-12-04T09:28:34.4714566Z JOB_NAME: ci-vllm-test / test (vllm_distributed_test_28_failure_test, 1, 1, linux.g6.12xlarge.nvidia.gpu, unstable) 2025-12-04T09:28:34.4714988Z WORKFLOW_NAME: vllm-test 2025-12-04T09:28:34.4715180Z WORKFLOW_RUN_ID: 19922031852 2025-12-04T09:28:34.4715382Z MONITOR_LOG_INTERVAL: 5 2025-12-04T09:28:34.4715597Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T09:28:34.4715808Z ##[endgroup] 2025-12-04T09:28:34.7689736Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:28:35.1136315Z Collecting psutil==5.9.8 2025-12-04T09:28:35.1303056Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-12-04T09:28:35.2005875Z Collecting dataclasses_json==0.6.7 2025-12-04T09:28:35.2042250Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T09:28:35.2324432Z Collecting nvidia-ml-py==11.525.84 2025-12-04T09:28:35.2361167Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T09:28:35.3441705Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T09:28:35.3478614Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T09:28:35.3715507Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T09:28:35.3752653Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T09:28:35.4268613Z Collecting packaging>=17.0 2025-12-04T09:28:35.4303244Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T09:28:35.4550350Z Collecting mypy-extensions>=0.3.0 2025-12-04T09:28:35.4587382Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T09:28:35.5046932Z Collecting typing-extensions>=3.7.4 2025-12-04T09:28:35.5083574Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T09:28:35.6010581Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T09:28:35.8546711Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-12-04T09:28:36.0247277Z Prepare all required actions 2025-12-04T09:28:36.0247647Z Getting action download info 2025-12-04T09:28:36.2021524Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:28:36.4575912Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T09:28:36.8710513Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T09:28:36.8710812Z with: 2025-12-04T09:28:36.8711001Z name: linux-jammy-cuda12.8-py3.12-gcc11 2025-12-04T09:28:36.8711242Z s3-bucket: gha-artifacts 2025-12-04T09:28:36.8711435Z env: 2025-12-04T09:28:36.8711588Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:36.8711767Z HAS_NVIDIA_GPU: true 2025-12-04T09:28:36.8712044Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:28:36.8712469Z ##[endgroup] 2025-12-04T09:28:36.8738156Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:28:36.8738408Z with: 2025-12-04T09:28:36.8738621Z name: linux-jammy-cuda12.8-py3.12-gcc11 2025-12-04T09:28:36.8738865Z s3-bucket: gha-artifacts 2025-12-04T09:28:36.8739070Z region: us-east-1 2025-12-04T09:28:36.8739237Z env: 2025-12-04T09:28:36.8739386Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:36.8739574Z HAS_NVIDIA_GPU: true 2025-12-04T09:28:36.8739801Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:28:36.8740055Z ##[endgroup] 2025-12-04T09:28:37.3158771Z (node:66827) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:28:37.3159793Z 2025-12-04T09:28:37.3160142Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:28:37.3161079Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:28:37.3162094Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:28:37.6130510Z Found 1 objects with prefix pytorch/pytorch/19922031852/linux-jammy-cuda12.8-py3.12-gcc11/ 2025-12-04T09:28:37.6131863Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:28:56.4510002Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:28:56.4516027Z Artifact download has finished successfully 2025-12-04T09:28:56.4790025Z ##[group]Run unzip -o artifacts.zip 2025-12-04T09:28:56.4790303Z unzip -o artifacts.zip 2025-12-04T09:28:56.4799382Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:28:56.4799674Z env: 2025-12-04T09:28:56.4799841Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:56.4800037Z HAS_NVIDIA_GPU: true 2025-12-04T09:28:56.4800275Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:28:56.4800530Z ##[endgroup] 2025-12-04T09:28:56.4888298Z Archive: artifacts.zip 2025-12-04T09:28:56.4890156Z creating: dist/ 2025-12-04T09:28:58.9972357Z inflating: dist/torch-2.10.0a0+gitffd9b0f-cp312-cp312-linux_x86_64.whl 2025-12-04T09:28:58.9972885Z creating: dist/vision/ 2025-12-04T09:28:59.0103029Z inflating: dist/vision/torchvision-0.25.0a0+617079d-cp312-cp312-linux_x86_64.whl 2025-12-04T09:28:59.0104137Z creating: dist/audio/ 2025-12-04T09:28:59.0175309Z inflating: dist/audio/torchaudio-2.10.0a0+e90a398-cp312-cp312-linux_x86_64.whl 2025-12-04T09:28:59.0294321Z inflating: dist/.ninja_log 2025-12-04T09:28:59.0294893Z creating: dist/external/ 2025-12-04T09:28:59.0295368Z creating: dist/external/vllm/ 2025-12-04T09:28:59.0295878Z creating: dist/external/vllm/wheels/ 2025-12-04T09:28:59.0296948Z inflating: dist/external/vllm/wheels/build_summary.txt 2025-12-04T09:28:59.0297658Z creating: dist/external/vllm/wheels/vllm/ 2025-12-04T09:29:01.6911266Z inflating: dist/external/vllm/wheels/vllm/vllm-0.11.0rc2.dev389+ge51928192.d20251204-cp38-abi3-linux_x86_64.whl 2025-12-04T09:29:01.6913170Z creating: dist/external/vllm/wheels/xformers/ 2025-12-04T09:29:03.3131056Z inflating: 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build/bin/cuda_reportMemoryUsage_test 2025-12-04T09:29:13.1160876Z inflating: build/bin/cuda_stream_test 2025-12-04T09:29:13.1212043Z inflating: build/bin/cuda_vectorized_test 2025-12-04T09:29:13.1263470Z inflating: build/bin/cuda_packedtensoraccessor_test 2025-12-04T09:29:13.1312159Z inflating: build/bin/cuda_allocatorTraceTracker_test 2025-12-04T09:29:13.1627220Z inflating: build/bin/test_lazy 2025-12-04T09:29:13.1680528Z inflating: build/bin/test_dist_autograd 2025-12-04T09:29:13.1745818Z inflating: build/bin/test_cpp_rpc 2025-12-04T09:29:13.2790802Z inflating: build/bin/test_api 2025-12-04T09:29:13.2839637Z inflating: build/bin/cuda_cudnn_test 2025-12-04T09:29:13.2841824Z inflating: build/bin/parallel_benchmark 2025-12-04T09:29:13.3819153Z inflating: build/bin/test_jit 2025-12-04T09:29:13.3819773Z creating: .additional_ci_files/ 2025-12-04T09:29:13.3876328Z inflating: .additional_ci_files/test-times.json 2025-12-04T09:29:13.4080702Z inflating: .additional_ci_files/test-class-times.json 2025-12-04T09:29:13.4113537Z ##[group]Run rm artifacts.zip 2025-12-04T09:29:13.4113786Z rm artifacts.zip 2025-12-04T09:29:13.4122328Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:29:13.4122617Z env: 2025-12-04T09:29:13.4122778Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:29:13.4122998Z HAS_NVIDIA_GPU: true 2025-12-04T09:29:13.4123232Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:29:13.4123500Z ##[endgroup] 2025-12-04T09:29:13.6016196Z ##[group]Run df -H 2025-12-04T09:29:13.6016403Z df -H 2025-12-04T09:29:13.6023701Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:29:13.6023996Z env: 2025-12-04T09:29:13.6024207Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:29:13.6024421Z HAS_NVIDIA_GPU: true 2025-12-04T09:29:13.6024670Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:29:13.6024989Z ##[endgroup] 2025-12-04T09:29:13.6080860Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T09:29:13.6081261Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T09:29:13.6081573Z tmpfs 98G 0 98G 0% /dev/shm 2025-12-04T09:29:13.6081888Z tmpfs 40G 984k 40G 1% /run 2025-12-04T09:29:13.6082249Z /dev/nvme0n1p1 161G 56G 106G 35% / 2025-12-04T09:29:13.6082568Z tmpfs 98G 17k 98G 1% /tmp 2025-12-04T09:29:13.6082873Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T09:29:13.6083202Z tmpfs 20G 0 20G 0% /run/user/0 2025-12-04T09:29:13.6114925Z Prepare all required actions 2025-12-04T09:29:13.6115858Z Getting action download info 2025-12-04T09:29:13.7924612Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T09:29:13.7924885Z with: 2025-12-04T09:29:13.7925028Z env: 2025-12-04T09:29:13.7925172Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:29:13.7925363Z HAS_NVIDIA_GPU: true 2025-12-04T09:29:13.7925591Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:29:13.7925839Z ##[endgroup] 2025-12-04T09:29:13.7948929Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:29:13.7949177Z with: 2025-12-04T09:29:13.7949351Z name: td_results 2025-12-04T09:29:13.7949541Z s3-bucket: gha-artifacts 2025-12-04T09:29:13.7949732Z region: us-east-1 2025-12-04T09:29:13.7949894Z env: 2025-12-04T09:29:13.7950040Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:29:13.7950236Z HAS_NVIDIA_GPU: true 2025-12-04T09:29:13.7950467Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:29:13.7950770Z ##[endgroup] 2025-12-04T09:29:14.2387569Z (node:66857) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:29:14.2388439Z 2025-12-04T09:29:14.2388787Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:29:14.2389705Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:29:14.2390656Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:29:14.3316447Z Found 0 objects with prefix pytorch/pytorch/19922031852/td_results/ 2025-12-04T09:29:14.3322435Z Artifact download has finished successfully 2025-12-04T09:29:14.3571570Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T09:29:14.3571876Z mkdir -p .additional_ci_files 2025-12-04T09:29:14.3572197Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T09:29:14.3581886Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:29:14.3582162Z env: 2025-12-04T09:29:14.3582362Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:29:14.3582570Z HAS_NVIDIA_GPU: true 2025-12-04T09:29:14.3582804Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:29:14.3583065Z ##[endgroup] 2025-12-04T09:29:14.3653132Z mv: cannot stat 'td_results.json': No such file or directory 2025-12-04T09:29:14.3697700Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T09:29:14.3698025Z .github/scripts/parse_ref.py 2025-12-04T09:29:14.3705685Z shell: /usr/bin/bash -e {0} 2025-12-04T09:29:14.3705889Z env: 2025-12-04T09:29:14.3706057Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:29:14.3706248Z HAS_NVIDIA_GPU: true 2025-12-04T09:29:14.3706483Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:29:14.3706744Z ##[endgroup] 2025-12-04T09:29:14.3936830Z Setting output branch=main 2025-12-04T09:29:14.4034073Z Prepare all required actions 2025-12-04T09:29:14.4034414Z Getting action download info 2025-12-04T09:29:14.5472887Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T09:29:14.5473144Z with: 2025-12-04T09:29:14.5473478Z github-token: *** 2025-12-04T09:29:14.5479464Z test-matrix: {"include": [{"config": "vllm_basic_correctness_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_basic_models_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_entrypoints_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_regression_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_multi_model_processor_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_pytorch_compilation_unit_tests", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_multi_model_test_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_language_model_test_extended_generation_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_distributed_test_2_gpu_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 0, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 1, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 2, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 3, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_tp_test_distributed", "shard": 1, "num_shards": 1, "runner": "linux.g6.12xlarge.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_distributed_test_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.12xlarge.nvidia.gpu", "unstable": "unstable"}]} 2025-12-04T09:29:14.5485439Z job-name: ci-vllm-test / test (vllm_distributed_test_28_failure_test, 1, 1, linux.g6.12xlarge.nvidia.gpu, unstable) 2025-12-04T09:29:14.5486039Z env: 2025-12-04T09:29:14.5486218Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:29:14.5486416Z HAS_NVIDIA_GPU: true 2025-12-04T09:29:14.5486672Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:29:14.5486949Z ##[endgroup] 2025-12-04T09:29:14.5515664Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:29:14.5515880Z with: 2025-12-04T09:29:14.5516025Z shell: bash 2025-12-04T09:29:14.5516185Z timeout_minutes: 10 2025-12-04T09:29:14.5516354Z max_attempts: 5 2025-12-04T09:29:14.5516514Z retry_wait_seconds: 30 2025-12-04T09:29:14.5517081Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:29:14.5517665Z polling_interval_seconds: 1 2025-12-04T09:29:14.5517862Z warning_on_retry: true 2025-12-04T09:29:14.5518058Z continue_on_error: false 2025-12-04T09:29:14.5518237Z env: 2025-12-04T09:29:14.5518391Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:29:14.5518576Z HAS_NVIDIA_GPU: true 2025-12-04T09:29:14.5518796Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:29:14.5519402Z GITHUB_TOKEN: *** 2025-12-04T09:29:14.5519590Z ##[endgroup] 2025-12-04T09:29:14.6595076Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:29:14.8744160Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:29:14.9858011Z Collecting requests==2.27.1 2025-12-04T09:29:15.0041833Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T09:29:15.1581524Z Collecting pyyaml==6.0.2 2025-12-04T09:29:15.1650498Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T09:29:15.1892967Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T09:29:15.1895106Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T09:29:15.5333513Z Collecting charset-normalizer~=2.0.0 2025-12-04T09:29:15.5375086Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T09:29:15.5861629Z Collecting certifi>=2017.4.17 2025-12-04T09:29:15.5901863Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T09:29:15.6686680Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T09:29:15.7844625Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T09:29:16.6305672Z Command completed after 1 attempt(s). 2025-12-04T09:29:16.6372497Z ##[group]Run set -x 2025-12-04T09:29:16.6372717Z set -x 2025-12-04T09:29:16.6372884Z  2025-12-04T09:29:16.6373162Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:29:16.6373505Z # in runner workspace 2025-12-04T09:29:16.6373785Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T09:29:16.6382627Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:29:16.6382919Z env: 2025-12-04T09:29:16.6383101Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:29:16.6383301Z HAS_NVIDIA_GPU: true 2025-12-04T09:29:16.6383538Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:29:16.6383798Z ##[endgroup] 2025-12-04T09:29:16.6419902Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T09:29:16.6603528Z Setting output branch=main 2025-12-04T09:29:16.6653443Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:29:16.6653752Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:29:16.6653989Z echo "Job name: ${JOB_NAME}" 2025-12-04T09:29:16.6654199Z  2025-12-04T09:29:16.6654545Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:29:16.6656270Z # in runner workspace 2025-12-04T09:29:16.6656580Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T09:29:16.6656947Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T09:29:16.6657250Z  --job-name "${JOB_NAME}" \ 2025-12-04T09:29:16.6663193Z  --test-matrix "{"include": [{"config": "vllm_basic_correctness_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_basic_models_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_entrypoints_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_regression_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_multi_model_processor_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_pytorch_compilation_unit_tests", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_multi_model_test_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_language_model_test_extended_generation_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_distributed_test_2_gpu_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 0, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 1, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 2, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 3, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_tp_test_distributed", "shard": 1, "num_shards": 1, "runner": "linux.g6.12xlarge.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_distributed_test_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.12xlarge.nvidia.gpu", "unstable": "unstable"}]}" \ 2025-12-04T09:29:16.6669114Z  --selected-test-configs "" \ 2025-12-04T09:29:16.6669364Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T09:29:16.6669598Z  --tag "${TAG}" \ 2025-12-04T09:29:16.6669856Z  --event-name "${EVENT_NAME}" \ 2025-12-04T09:29:16.6670233Z  --schedule "${SCHEDULE}" \ 2025-12-04T09:29:16.6670610Z  --branch "${HEAD_BRANCH}" 2025-12-04T09:29:16.6678803Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:29:16.6679334Z env: 2025-12-04T09:29:16.6679506Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:29:16.6679702Z HAS_NVIDIA_GPU: true 2025-12-04T09:29:16.6679933Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:29:16.6680397Z GITHUB_TOKEN: *** 2025-12-04T09:29:16.6680784Z JOB_NAME: ci-vllm-test / test (vllm_distributed_test_28_failure_test, 1, 1, linux.g6.12xlarge.nvidia.gpu, unstable) 2025-12-04T09:29:16.6681185Z PR_NUMBER: 2025-12-04T09:29:16.6681357Z TAG: 2025-12-04T09:29:16.6681520Z EVENT_NAME: schedule 2025-12-04T09:29:16.6681705Z SCHEDULE: 0 */8 * * * 2025-12-04T09:29:16.6681879Z HEAD_BRANCH: main 2025-12-04T09:29:16.6682045Z ##[endgroup] 2025-12-04T09:29:16.6716020Z Workflow: vllm-test 2025-12-04T09:29:16.6716462Z Job name: ci-vllm-test / test (vllm_distributed_test_28_failure_test, 1, 1, linux.g6.12xlarge.nvidia.gpu, unstable) 2025-12-04T09:29:16.8443822Z INFO:root:Issue https://github.com/pytorch/pytorch/issues/169298 created by huydhn has unstable all the test jobs for vllm-test / ci-vllm-test / test (vllm_distributed_test_28_failure_test, 1, 1, linux.g6.12xlarge.nvidia.gpu, unstable) 2025-12-04T09:29:16.8503758Z Setting output keep-going=True 2025-12-04T09:29:16.8504418Z Setting output ci-verbose-test-logs=False 2025-12-04T09:29:16.8505028Z Setting output ci-test-showlocals=False 2025-12-04T09:29:16.8505655Z Setting output ci-no-test-timeout=False 2025-12-04T09:29:16.8506318Z Setting output ci-no-td=False 2025-12-04T09:29:16.8506928Z Setting output ci-td-distributed=False 2025-12-04T09:29:16.8507438Z Setting output is-unstable=True 2025-12-04T09:29:16.8507702Z Setting output reenabled-issues= 2025-12-04T09:29:16.8513900Z Setting output test-matrix={"include": [{"config": "vllm_basic_correctness_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_basic_models_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_entrypoints_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_regression_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_multi_model_processor_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_pytorch_compilation_unit_tests", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_multi_model_test_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_language_model_test_extended_generation_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_distributed_test_2_gpu_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 0, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 1, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 2, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 3, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_tp_test_distributed", "shard": 1, "num_shards": 1, "runner": "linux.g6.12xlarge.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_distributed_test_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.12xlarge.nvidia.gpu", "unstable": "unstable"}]} 2025-12-04T09:29:16.8519849Z Setting output is-test-matrix-empty=False 2025-12-04T09:29:16.8619543Z ##[group]Run echo "Filtered matrix:" 2025-12-04T09:29:16.8619832Z echo "Filtered matrix:" 2025-12-04T09:29:16.8625675Z echo "{"include": [{"config": "vllm_basic_correctness_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_basic_models_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_entrypoints_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_regression_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_multi_model_processor_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_pytorch_compilation_unit_tests", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_multi_model_test_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_language_model_test_extended_generation_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_distributed_test_2_gpu_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 0, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 1, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 2, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_test", "shard": 3, "num_shards": 4, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_lora_tp_test_distributed", "shard": 1, "num_shards": 1, "runner": "linux.g6.12xlarge.nvidia.gpu", "unstable": "unstable"}, {"config": "vllm_distributed_test_28_failure_test", "shard": 1, "num_shards": 1, "runner": "linux.g6.12xlarge.nvidia.gpu", "unstable": "unstable"}]}" 2025-12-04T09:29:16.8631587Z  2025-12-04T09:29:16.8631743Z echo 2025-12-04T09:29:16.8631943Z echo "Is the current job unstable? True" 2025-12-04T09:29:16.8632175Z  2025-12-04T09:29:16.8632329Z echo 2025-12-04T09:29:16.8632510Z echo "Is keep-going label set? True" 2025-12-04T09:29:16.8632731Z  2025-12-04T09:29:16.8632881Z echo 2025-12-04T09:29:16.8633055Z echo "Reenabled issues? " 2025-12-04T09:29:16.8640571Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:29:16.8640847Z env: 2025-12-04T09:29:16.8641007Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:29:16.8641194Z HAS_NVIDIA_GPU: true 2025-12-04T09:29:16.8641427Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:29:16.8641688Z ##[endgroup] 2025-12-04T09:29:16.8674730Z Filtered matrix: 2025-12-04T09:29:16.8687843Z {include: [{config: vllm_basic_correctness_test, shard: 1, num_shards: 1, runner: linux.g6.4xlarge.experimental.nvidia.gpu, unstable: unstable}, {config: vllm_basic_models_test, shard: 1, num_shards: 1, runner: linux.g6.4xlarge.experimental.nvidia.gpu, unstable: unstable}, {config: vllm_entrypoints_test, shard: 1, num_shards: 1, runner: linux.g6.4xlarge.experimental.nvidia.gpu, unstable: unstable}, {config: vllm_regression_test, shard: 1, num_shards: 1, runner: linux.g6.4xlarge.experimental.nvidia.gpu, unstable: unstable}, {config: vllm_multi_model_processor_test, shard: 1, num_shards: 1, runner: linux.g6.4xlarge.experimental.nvidia.gpu, unstable: unstable}, {config: vllm_pytorch_compilation_unit_tests, shard: 1, num_shards: 1, runner: linux.g6.4xlarge.experimental.nvidia.gpu, unstable: unstable}, {config: vllm_lora_28_failure_test, shard: 1, num_shards: 1, runner: linux.g6.4xlarge.experimental.nvidia.gpu, unstable: unstable}, {config: vllm_multi_model_test_28_failure_test, shard: 1, num_shards: 1, runner: linux.g6.4xlarge.experimental.nvidia.gpu, unstable: unstable}, {config: vllm_language_model_test_extended_generation_28_failure_test, shard: 1, num_shards: 1, runner: linux.g6.4xlarge.experimental.nvidia.gpu, unstable: unstable}, {config: vllm_distributed_test_2_gpu_28_failure_test, shard: 1, num_shards: 1, runner: linux.g6.4xlarge.experimental.nvidia.gpu, unstable: unstable}, {config: vllm_lora_test, shard: 0, num_shards: 4, runner: linux.g6.4xlarge.experimental.nvidia.gpu, unstable: unstable}, {config: vllm_lora_test, shard: 1, num_shards: 4, runner: linux.g6.4xlarge.experimental.nvidia.gpu, unstable: unstable}, {config: vllm_lora_test, shard: 2, num_shards: 4, runner: linux.g6.4xlarge.experimental.nvidia.gpu, unstable: unstable}, {config: vllm_lora_test, shard: 3, num_shards: 4, runner: linux.g6.4xlarge.experimental.nvidia.gpu, unstable: unstable}, {config: vllm_lora_tp_test_distributed, shard: 1, num_shards: 1, runner: linux.g6.12xlarge.nvidia.gpu, unstable: unstable}, {config: vllm_distributed_test_28_failure_test, shard: 1, num_shards: 1, runner: linux.g6.12xlarge.nvidia.gpu, unstable: unstable}]} 2025-12-04T09:29:16.8693828Z 2025-12-04T09:29:16.8693934Z Is the current job unstable? True 2025-12-04T09:29:16.8694092Z 2025-12-04T09:29:16.8694179Z Is keep-going label set? True 2025-12-04T09:29:16.8694318Z 2025-12-04T09:29:16.8694389Z Reenabled issues? 2025-12-04T09:29:16.8722951Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:29:16.8723382Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:29:16.8730437Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:29:16.8730711Z env: 2025-12-04T09:29:16.8730871Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:29:16.8731075Z HAS_NVIDIA_GPU: true 2025-12-04T09:29:16.8731300Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:29:16.8731559Z JOB_TIMEOUT: 240 2025-12-04T09:29:16.8731727Z ##[endgroup] 2025-12-04T09:29:16.8792404Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:29:16.8792838Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:29:16.8793168Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:29:16.8800683Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:29:16.8800989Z env: 2025-12-04T09:29:16.8801160Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:29:16.8801352Z HAS_NVIDIA_GPU: true 2025-12-04T09:29:16.8801591Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:29:16.8801861Z ##[endgroup] 2025-12-04T09:29:16.8932865Z ##[group]Run set -x 2025-12-04T09:29:16.8933156Z set -x 2025-12-04T09:29:16.8933335Z  2025-12-04T09:29:16.8933533Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T09:29:16.8933822Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T09:29:16.8934109Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T09:29:16.8934636Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T09:29:16.8934861Z else 2025-12-04T09:29:16.8935052Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:29:16.8935284Z fi 2025-12-04T09:29:16.8935440Z  2025-12-04T09:29:16.8935632Z # Leaving 1GB for the runner and other things 2025-12-04T09:29:16.8936076Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T09:29:16.8936704Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T09:29:16.8937211Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T09:29:16.8937595Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T09:29:16.8937881Z  2025-12-04T09:29:16.8938065Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:29:16.8938311Z  SHM_OPTS= 2025-12-04T09:29:16.8938490Z  JENKINS_USER= 2025-12-04T09:29:16.8938735Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T09:29:16.8939075Z  # if for some reason cleanup action doesn't stop container 2025-12-04T09:29:16.8939360Z  # when job is cancelled 2025-12-04T09:29:16.8940247Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T09:29:16.8940481Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T09:29:16.8940699Z else 2025-12-04T09:29:16.8940875Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T09:29:16.8941112Z  JENKINS_USER="--user jenkins" 2025-12-04T09:29:16.8941332Z  DOCKER_SHELL_CMD= 2025-12-04T09:29:16.8941534Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T09:29:16.8941735Z fi 2025-12-04T09:29:16.8941882Z  2025-12-04T09:29:16.8942124Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T09:29:16.8942494Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T09:29:16.8942921Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T09:29:16.8943296Z # shellcheck disable=SC2086,SC2090 2025-12-04T09:29:16.8943532Z container_name=$(docker run \ 2025-12-04T09:29:16.8943751Z  ${GPU_FLAG:-} \ 2025-12-04T09:29:16.8943966Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T09:29:16.8944218Z  -e BUILD_ENVIRONMENT \ 2025-12-04T09:29:16.8944431Z  -e PR_NUMBER \ 2025-12-04T09:29:16.8944623Z  -e GITHUB_ACTIONS \ 2025-12-04T09:29:16.8944829Z  -e GITHUB_REPOSITORY \ 2025-12-04T09:29:16.8945043Z  -e GITHUB_WORKFLOW \ 2025-12-04T09:29:16.8945237Z  -e GITHUB_JOB \ 2025-12-04T09:29:16.8945429Z  -e GITHUB_RUN_ID \ 2025-12-04T09:29:16.8945637Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T09:29:16.8945837Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T09:29:16.8946049Z  -e JOB_ID \ 2025-12-04T09:29:16.8946229Z  -e JOB_NAME \ 2025-12-04T09:29:16.8946415Z  -e BASE_SHA \ 2025-12-04T09:29:16.8946586Z  -e BRANCH \ 2025-12-04T09:29:16.8946757Z  -e SHA1 \ 2025-12-04T09:29:16.8946947Z  -e AWS_DEFAULT_REGION \ 2025-12-04T09:29:16.8947152Z  -e IN_WHEEL_TEST \ 2025-12-04T09:29:16.8947351Z  -e SHARD_NUMBER \ 2025-12-04T09:29:16.8947542Z  -e TEST_CONFIG \ 2025-12-04T09:29:16.8947729Z  -e NUM_TEST_SHARDS \ 2025-12-04T09:29:16.8948050Z  -e REENABLED_ISSUES \ 2025-12-04T09:29:16.8948278Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T09:29:16.8948491Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T09:29:16.8948696Z  -e TEST_SHOWLOCALS \ 2025-12-04T09:29:16.8948894Z  -e NO_TEST_TIMEOUT \ 2025-12-04T09:29:16.8949083Z  -e NO_TD \ 2025-12-04T09:29:16.8949253Z  -e TD_DISTRIBUTED \ 2025-12-04T09:29:16.8949445Z  -e PR_LABELS \ 2025-12-04T09:29:16.8949662Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T09:29:16.8949892Z  -e SCCACHE_BUCKET \ 2025-12-04T09:29:16.8950088Z  -e SCCACHE_REGION \ 2025-12-04T09:29:16.8950281Z  -e XLA_CUDA \ 2025-12-04T09:29:16.8950481Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T09:29:16.8950732Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T09:29:16.8950992Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T09:29:16.8951253Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T09:29:16.8951492Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T09:29:16.8951721Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T09:29:16.8951962Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T09:29:16.8952186Z  -e DASHBOARD_TAG \ 2025-12-04T09:29:16.8952389Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T09:29:16.8952648Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T09:29:16.8952939Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T09:29:16.8953238Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T09:29:16.8953532Z  --security-opt seccomp=unconfined \ 2025-12-04T09:29:16.8953861Z  --cap-add=SYS_PTRACE \ 2025-12-04T09:29:16.8954063Z  --ipc=host \ 2025-12-04T09:29:16.8954251Z  ${SHM_OPTS} \ 2025-12-04T09:29:16.8954427Z  --tty \ 2025-12-04T09:29:16.8954588Z  --detach \ 2025-12-04T09:29:16.8954779Z  --name="${container_name}" \ 2025-12-04T09:29:16.8955002Z  ${JENKINS_USER} \ 2025-12-04T09:29:16.8955247Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T09:29:16.8965451Z  -w /var/lib/jenkins/workspace \ 2025-12-04T09:29:16.8965735Z  "${USED_IMAGE}" \ 2025-12-04T09:29:16.8965948Z  ${DOCKER_SHELL_CMD} 2025-12-04T09:29:16.8966151Z ) 2025-12-04T09:29:16.8966406Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T09:29:16.8966708Z  2025-12-04T09:29:16.8966908Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:29:16.8967350Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T09:29:16.8967743Z fi 2025-12-04T09:29:16.8967892Z  2025-12-04T09:29:16.8968248Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T09:29:16.8976279Z shell: /usr/bin/bash -e {0} 2025-12-04T09:29:16.8976482Z env: 2025-12-04T09:29:16.8976651Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:29:16.8976849Z HAS_NVIDIA_GPU: true 2025-12-04T09:29:16.8977088Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:29:16.8977400Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.12-gcc11 2025-12-04T09:29:16.8977659Z PR_NUMBER: 2025-12-04T09:29:16.8977840Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T09:29:16.8978066Z GITHUB_WORKFLOW: vllm-test 2025-12-04T09:29:16.8978265Z GITHUB_JOB: test 2025-12-04T09:29:16.8978441Z GITHUB_RUN_ID: 19922031852 2025-12-04T09:29:16.8978628Z GITHUB_RUN_NUMBER: 4606 2025-12-04T09:29:16.8978831Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T09:29:16.8979008Z JOB_ID: 57118543793 2025-12-04T09:29:16.8979381Z JOB_NAME: ci-vllm-test / test (vllm_distributed_test_28_failure_test, 1, 1, linux.g6.12xlarge.nvidia.gpu, unstable) 2025-12-04T09:29:16.8979898Z BRANCH: main 2025-12-04T09:29:16.8980106Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:29:16.8980391Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:29:16.8980668Z TEST_CONFIG: vllm_distributed_test_28_failure_test 2025-12-04T09:29:16.8980909Z SHARD_NUMBER: 1 2025-12-04T09:29:16.8981080Z NUM_TEST_SHARDS: 1 2025-12-04T09:29:16.8981245Z EXTRA_FLAGS: 2025-12-04T09:29:16.8981417Z OP_BENCHMARK_TESTS: 2025-12-04T09:29:16.8981596Z REENABLED_ISSUES: 2025-12-04T09:29:16.8981769Z CONTINUE_THROUGH_ERROR: True 2025-12-04T09:29:16.8981964Z VERBOSE_TEST_LOGS: False 2025-12-04T09:29:16.8982155Z TEST_SHOWLOCALS: False 2025-12-04T09:29:16.8982336Z NO_TEST_TIMEOUT: False 2025-12-04T09:29:16.8982499Z NO_TD: False 2025-12-04T09:29:16.8982658Z TD_DISTRIBUTED: False 2025-12-04T09:29:16.8982878Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T09:29:16.8983126Z SCCACHE_REGION: us-east-1 2025-12-04T09:29:16.8983304Z SHM_SIZE: 2g 2025-12-04T09:29:16.8983884Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:29:16.8984918Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:29:16.8985534Z XLA_CUDA: 2025-12-04T09:29:16.8985785Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:29:16.8986107Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T09:29:16.8986327Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-12-04T09:29:16.8986536Z DASHBOARD_TAG: 2025-12-04T09:29:16.8986870Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T09:29:16.8987301Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T09:29:16.8987594Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T09:29:16.8988004Z ARTIFACTS_FILE_SUFFIX: test-vllm_distributed_test_28_failure_test-1-1-linux.g6.12xlarge.nvidia.gpu_57118543793 2025-12-04T09:29:16.8988414Z ##[endgroup] 2025-12-04T09:29:16.9018822Z + [[ vllm_distributed_test_28_failure_test == \m\u\l\t\i\g\p\u ]] 2025-12-04T09:29:16.9019654Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *onnx* ]] 2025-12-04T09:29:16.9020320Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:29:16.9024794Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T09:29:16.9056816Z + TOTAL_AVAILABLE_MEMORY_IN_GB='180.760 ' 2025-12-04T09:29:16.9057426Z + TOTAL_MEMORY_WITH_SWAP=183 2025-12-04T09:29:16.9058001Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *\s\3\9\0\x* ]] 2025-12-04T09:29:16.9058642Z + SHM_OPTS=--shm-size=2g 2025-12-04T09:29:16.9059109Z + JENKINS_USER='--user jenkins' 2025-12-04T09:29:16.9059592Z + DOCKER_SHELL_CMD= 2025-12-04T09:29:16.9060992Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:29:16.9071302Z +++ nproc --ignore=2 2025-12-04T09:29:16.9110691Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -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=46 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=180g --memory-swap=183g --env-file=/tmp/github_env_19922031852 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --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-cuda12.8-cudnn9-py3.12-gcc11-vllm-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:29:38.1649338Z + container_name=f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T09:29:38.1650045Z + echo DOCKER_CONTAINER_ID=f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T09:29:38.1651121Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *\s\3\9\0\x* ]] 2025-12-04T09:29:38.1659635Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp312-cp312-linux_x86_64.whl 2025-12-04T09:29:38.1661384Z + docker exec -t f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp312-cp312-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T09:29:38.6139602Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp312-cp312-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T09:29:39.0145273Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.18.0) 2025-12-04T09:29:39.0147317Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (4.12.2) 2025-12-04T09:29:39.0151823Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (78.1.1) 2025-12-04T09:29:39.0154552Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.13.3) 2025-12-04T09:29:39.0156571Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.8.8) 2025-12-04T09:29:39.0159709Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.1.6) 2025-12-04T09:29:39.0162595Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2025.10.0) 2025-12-04T09:29:39.0175378Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.3.0) 2025-12-04T09:29:39.0270995Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.26.2) 2025-12-04T09:29:39.0309136Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from sympy>=1.13.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.3.0) 2025-12-04T09:29:39.0352109Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from jinja2->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.0.3) 2025-12-04T09:29:39.2316933Z Installing collected packages: torch 2025-12-04T09:29:51.5171249Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T09:29:51.5955719Z + export TERM=vt100 2025-12-04T09:29:51.5956217Z + TERM=vt100 2025-12-04T09:29:51.5957708Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:29:51.5966580Z + source .ci/pytorch/common.sh 2025-12-04T09:29:51.5970693Z +++ dirname .ci/pytorch/common.sh 2025-12-04T09:29:51.5984471Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T09:29:51.5985107Z +++ declare -f -t trap_add 2025-12-04T09:29:51.5990505Z ++ set -ex -o pipefail 2025-12-04T09:29:51.5990868Z ++ [[ linux-jammy-cuda12.8-py3.12-gcc11 == *rocm* ]] 2025-12-04T09:29:51.5991130Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T09:29:51.5994503Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:29:51.6003935Z + source .ci/pytorch/common-build.sh 2025-12-04T09:29:51.6004954Z ++ [[ linux-jammy-cuda12.8-py3.12-gcc11 != *win-* ]] 2025-12-04T09:29:51.6014263Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T09:29:51.6024940Z +++ cd .ci/pytorch 2025-12-04T09:29:51.6025451Z +++ pwd -P 2025-12-04T09:29:51.6322925Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T09:29:51.6323765Z ++ [[ linux-jammy-cuda12.8-py3.12-gcc11 == *-pch* ]] 2025-12-04T09:29:51.6324375Z ++ which sccache 2025-12-04T09:29:51.6549543Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T09:29:51.6550212Z ++ sccache --stop-server 2025-12-04T09:29:51.6584237Z ++ true 2025-12-04T09:29:51.6584508Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T09:29:51.6599751Z ++ trap_add sccache_epilogue EXIT 2025-12-04T09:29:51.6600067Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T09:29:51.6600653Z ++ shift 2025-12-04T09:29:51.6601090Z ++ for trap_add_name in "$@" 2025-12-04T09:29:51.6609152Z ++++ trap -p EXIT 2025-12-04T09:29:51.6615131Z +++ eval 'extract_trap_cmd ' 2025-12-04T09:29:51.6615452Z ++++ extract_trap_cmd 2025-12-04T09:29:51.6615680Z ++++ printf '%s\n' '' 2025-12-04T09:29:51.6616604Z +++ printf '%s\n' sccache_epilogue 2025-12-04T09:29:51.6621002Z ++ trap -- ' 2025-12-04T09:29:51.6621227Z sccache_epilogue' EXIT 2025-12-04T09:29:51.6621767Z ++ [[ -n 1 ]] 2025-12-04T09:29:51.6622125Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T09:29:51.6622683Z Skipping sccache server initialization, setting environment variables 2025-12-04T09:29:51.6623086Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:29:51.6623351Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:29:51.6624009Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:29:51.6624403Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:29:51.6629697Z ++ export RUST_LOG=sccache::server=error 2025-12-04T09:29:51.6630022Z ++ RUST_LOG=sccache::server=error 2025-12-04T09:29:51.6630256Z ++ sccache --zero-stats 2025-12-04T09:29:51.9413231Z Statistics zeroed. 2025-12-04T09:29:51.9422494Z ++ which ccache 2025-12-04T09:29:51.9518120Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 != *rocm* ]] 2025-12-04T09:29:51.9518891Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 != *s390x* ]] 2025-12-04T09:29:51.9519713Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T09:29:51.9522838Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T09:29:51.9539569Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T09:29:51.9539836Z + trap_add cleanup_workspace EXIT 2025-12-04T09:29:51.9540069Z + trap_add_cmd=cleanup_workspace 2025-12-04T09:29:51.9540300Z + shift 2025-12-04T09:29:51.9540505Z + for trap_add_name in "$@" 2025-12-04T09:29:51.9551834Z +++ trap -p EXIT 2025-12-04T09:29:51.9555652Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T09:29:51.9556251Z sccache_epilogue'\'' EXIT' 2025-12-04T09:29:51.9556735Z +++ extract_trap_cmd trap -- ' 2025-12-04T09:29:51.9557210Z sccache_epilogue' EXIT 2025-12-04T09:29:51.9557652Z +++ printf '%s\n' ' 2025-12-04T09:29:51.9558046Z sccache_epilogue' 2025-12-04T09:29:51.9558480Z ++ printf '%s\n' cleanup_workspace 2025-12-04T09:29:51.9559022Z + trap -- ' 2025-12-04T09:29:51.9559598Z sccache_epilogue 2025-12-04T09:29:51.9560012Z cleanup_workspace' EXIT 2025-12-04T09:29:51.9560553Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T09:29:52.9367295Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T09:29:52.9398935Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *cuda* ]] 2025-12-04T09:29:52.9403567Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))' 2025-12-04T09:29:53.4875339Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/numba/cuda 2025-12-04T09:29:53.4875968Z + '[' -n /opt/conda/envs/py_3.12/lib/python3.12/site-packages/numba/cuda ']' 2025-12-04T09:29:53.4883820Z +++ realpath .ci/pytorch/test.sh 2025-12-04T09:29:53.4893996Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh 2025-12-04T09:29:53.5295250Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch 2025-12-04T09:29:53.5296358Z + pushd /opt/conda/envs/py_3.12/lib/python3.12/site-packages/numba/cuda 2025-12-04T09:29:53.5297392Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/numba/cuda ~/workspace 2025-12-04T09:29:53.5298210Z + patch -p4 2025-12-04T09:29:53.5317252Z patching file cudadrv/driver.py 2025-12-04T09:29:53.5322851Z + popd 2025-12-04T09:29:53.5323016Z ~/workspace 2025-12-04T09:29:53.5325236Z + echo 'Environment variables:' 2025-12-04T09:29:53.5325617Z Environment variables: 2025-12-04T09:29:53.5325844Z + env 2025-12-04T09:29:53.5336857Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:29:53.5337895Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:29:53.5338500Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.12-gcc11 2025-12-04T09:29:53.5339505Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:29:53.5340010Z HOSTNAME=f5fd83b26a54 2025-12-04T09:29:53.5341365Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_2999a997-fbd2-4960-881d-0be2ddac2a32 2025-12-04T09:29:53.5342871Z GITHUB_ACTION=__run_3 2025-12-04T09:29:53.5343099Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:29:53.5343354Z GITHUB_RUN_NUMBER=4606 2025-12-04T09:29:53.5343612Z TEST_CONFIG=vllm_distributed_test_28_failure_test 2025-12-04T09:29:53.5343865Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:29:53.5344102Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:29:53.5344338Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:29:53.5344649Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:29:53.5344871Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-12-04T09:29:53.5345097Z GITHUB_REF_TYPE=branch 2025-12-04T09:29:53.5345555Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:29:53.5345790Z XLA_CUDA= 2025-12-04T09:29:53.5345955Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:29:53.5346243Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:29:53.5346680Z *** 2025-12-04T09:29:53.5346851Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:29:53.5347060Z GITHUB_ACTIONS=true 2025-12-04T09:29:53.5347254Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:29:53.5347499Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:29:53.5347783Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:29:53.5348059Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:29:53.5348423Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/vllm.yml@refs/heads/main 2025-12-04T09:29:53.5348753Z UCC_HOME=/usr 2025-12-04T09:29:53.5348919Z VERBOSE_TEST_LOGS=False 2025-12-04T09:29:53.5349102Z GITHUB_REF=refs/heads/main 2025-12-04T09:29:53.5349292Z SHARD_NUMBER=1 2025-12-04T09:29:53.5349465Z GITHUB_REF_PROTECTED=true 2025-12-04T09:29:53.5349653Z HOME=/var/lib/jenkins 2025-12-04T09:29:53.5349857Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:29:53.5350108Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T09:29:53.5350394Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:29:53.5350641Z USE_SYSTEM_NCCL=1 2025-12-04T09:29:53.5350803Z NUM_TEST_SHARDS=1 2025-12-04T09:29:53.5350976Z UCX_HOME=/usr 2025-12-04T09:29:53.5351389Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_2999a997-fbd2-4960-881d-0be2ddac2a32 2025-12-04T09:29:53.5352032Z JOB_NAME=ci-vllm-test / test (vllm_distributed_test_28_failure_test, 1, 1, linux.g6.12xlarge.nvidia.gpu, unstable) 2025-12-04T09:29:53.5352649Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_2999a997-fbd2-4960-881d-0be2ddac2a32 2025-12-04T09:29:53.5353219Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:29:53.5353566Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:29:53.5353753Z DASHBOARD_TAG= 2025-12-04T09:29:53.5353916Z GITHUB_RUN_ID=19922031852 2025-12-04T09:29:53.5354193Z INSTALLED_OPENBLAS= 2025-12-04T09:29:53.5354852Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_2999a997-fbd2-4960-881d-0be2ddac2a32 2025-12-04T09:29:53.5355357Z GITHUB_ACTOR=pytorchmergebot 2025-12-04T09:29:53.5355555Z PR_NUMBER= 2025-12-04T09:29:53.5355701Z DESIRED_CUDA=12.8.1 2025-12-04T09:29:53.5355871Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:29:53.5356056Z ANACONDA_PYTHON_VERSION=3.12 2025-12-04T09:29:53.5356320Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:29:53.5356675Z TERM=vt100 2025-12-04T09:29:53.5356831Z INSTALLED_VISION=yes 2025-12-04T09:29:53.5356993Z BRANCH=main 2025-12-04T09:29:53.5357152Z SCCACHE_REGION=us-east-1 2025-12-04T09:29:53.5357349Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:29:53.5357541Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:29:53.5357725Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:29:53.5358109Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:29:53.5358518Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:29:53.5358773Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:29:53.5359019Z REENABLED_ISSUES= 2025-12-04T09:29:53.5359266Z DOCS= 2025-12-04T09:29:53.5359409Z SHLVL=1 2025-12-04T09:29:53.5359556Z MAX_JOBS=46 2025-12-04T09:29:53.5359714Z GITHUB_ACTOR_ID=97764156 2025-12-04T09:29:53.5359964Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:29:53.5360251Z GITHUB_REF_NAME=main 2025-12-04T09:29:53.5360526Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:29:53.5360825Z GITHUB_JOB=test 2025-12-04T09:29:53.5361001Z NO_TEST_TIMEOUT=False 2025-12-04T09:29:53.5361177Z TD_DISTRIBUTED=False 2025-12-04T09:29:53.5361362Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:29:53.5361579Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:29:53.5361768Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:29:53.5362069Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:29:53.5362631Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.12/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:29:53.5363202Z GITHUB_BASE_REF= 2025-12-04T09:29:53.5363416Z INSTALLED_ACL= 2025-12-04T09:29:53.5364013Z ARTIFACTS_FILE_SUFFIX=test-vllm_distributed_test_28_failure_test-1-1-linux.g6.12xlarge.nvidia.gpu_57118543793 2025-12-04T09:29:53.5364435Z CI=true 2025-12-04T09:29:53.5364592Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:29:53.5364823Z RUST_LOG=sccache::server=error 2025-12-04T09:29:53.5365014Z JOB_ID=57118543793 2025-12-04T09:29:53.5365173Z GITHUB_HEAD_REF= 2025-12-04T09:29:53.5365326Z GITHUB_ACTION_REF= 2025-12-04T09:29:53.5365529Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:29:53.5365780Z TEST_SHOWLOCALS=False 2025-12-04T09:29:53.5365990Z GITHUB_WORKFLOW=vllm-test 2025-12-04T09:29:53.5366311Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:29:53.5366981Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_2999a997-fbd2-4960-881d-0be2ddac2a32 2025-12-04T09:29:53.5367430Z NO_TD=False 2025-12-04T09:29:53.5367591Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:29:53.5367811Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:29:53.5368029Z _=/usr/bin/env 2025-12-04T09:29:53.5368276Z OLDPWD=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/numba/cuda 2025-12-04T09:29:53.5368644Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T09:29:53.5467528Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch 2025-12-04T09:29:53.5468668Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2025-12-04T09:29:53.5469658Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib 2025-12-04T09:29:53.5470639Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/test 2025-12-04T09:29:53.5471495Z + BUILD_DIR=build 2025-12-04T09:29:53.5471998Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T09:29:53.5472590Z + BUILD_BIN_DIR=build/bin 2025-12-04T09:29:53.5472962Z + SHARD_NUMBER=1 2025-12-04T09:29:53.5473149Z + NUM_TEST_SHARDS=1 2025-12-04T09:29:53.5473567Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:29:53.5473806Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:29:53.5473998Z + export VALGRIND=ON 2025-12-04T09:29:53.5474174Z + VALGRIND=ON 2025-12-04T09:29:53.5474375Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *clang9* ]] 2025-12-04T09:29:53.5474664Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *xpu* ]] 2025-12-04T09:29:53.5474914Z + detect_cuda_arch 2025-12-04T09:29:53.5475118Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *cuda* ]] 2025-12-04T09:29:53.5475366Z + command -v nvidia-smi 2025-12-04T09:29:53.5475564Z /usr/bin/nvidia-smi 2025-12-04T09:29:53.5476139Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-12-04T09:29:53.5477569Z ++ tail -n 1 2025-12-04T09:29:53.6006043Z + TORCH_CUDA_ARCH_LIST=8.9 2025-12-04T09:29:53.6006886Z + export TORCH_CUDA_ARCH_LIST 2025-12-04T09:29:53.6007633Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *s390x* ]] 2025-12-04T09:29:53.6008405Z + [[ 0 == \1 ]] 2025-12-04T09:29:53.6008774Z + [[ True == \1 ]] 2025-12-04T09:29:53.6009296Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 != *bazel* ]] 2025-12-04T09:29:53.6014884Z ++ realpath build/custom_test_artifacts 2025-12-04T09:29:53.6151144Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T09:29:53.6152042Z + [[ -n '' ]] 2025-12-04T09:29:53.6152455Z + echo 'Environment variables' 2025-12-04T09:29:53.6152967Z Environment variables 2025-12-04T09:29:53.6153246Z + env 2025-12-04T09:29:53.6254343Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:29:53.6255641Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:29:53.6256248Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.12-gcc11 2025-12-04T09:29:53.6257450Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:29:53.6258001Z HOSTNAME=f5fd83b26a54 2025-12-04T09:29:53.6259466Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_2999a997-fbd2-4960-881d-0be2ddac2a32 2025-12-04T09:29:53.6260536Z GITHUB_ACTION=__run_3 2025-12-04T09:29:53.6260981Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:29:53.6261515Z GITHUB_RUN_NUMBER=4606 2025-12-04T09:29:53.6262017Z TEST_CONFIG=vllm_distributed_test_28_failure_test 2025-12-04T09:29:53.6262313Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:29:53.6262555Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:29:53.6262785Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:29:53.6263068Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:29:53.6263444Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-12-04T09:29:53.6263830Z GITHUB_REF_TYPE=branch 2025-12-04T09:29:53.6264133Z TORCH_CUDA_ARCH_LIST=8.9 2025-12-04T09:29:53.6264487Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:29:53.6264832Z XLA_CUDA= 2025-12-04T09:29:53.6265044Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:29:53.6265677Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:29:53.6265977Z *** 2025-12-04T09:29:53.6266139Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:29:53.6266342Z GITHUB_ACTIONS=true 2025-12-04T09:29:53.6266530Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:29:53.6266783Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:29:53.6267068Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:29:53.6267336Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:29:53.6267701Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/vllm.yml@refs/heads/main 2025-12-04T09:29:53.6268026Z UCC_HOME=/usr 2025-12-04T09:29:53.6268189Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:29:53.6268388Z VERBOSE_TEST_LOGS=False 2025-12-04T09:29:53.6268575Z GITHUB_REF=refs/heads/main 2025-12-04T09:29:53.6268753Z SHARD_NUMBER=1 2025-12-04T09:29:53.6268923Z GITHUB_REF_PROTECTED=true 2025-12-04T09:29:53.6269121Z HOME=/var/lib/jenkins 2025-12-04T09:29:53.6269329Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:29:53.6269564Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T09:29:53.6269813Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:29:53.6270062Z USE_SYSTEM_NCCL=1 2025-12-04T09:29:53.6270219Z NUM_TEST_SHARDS=1 2025-12-04T09:29:53.6270533Z UCX_HOME=/usr 2025-12-04T09:29:53.6270956Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_2999a997-fbd2-4960-881d-0be2ddac2a32 2025-12-04T09:29:53.6271603Z JOB_NAME=ci-vllm-test / test (vllm_distributed_test_28_failure_test, 1, 1, linux.g6.12xlarge.nvidia.gpu, unstable) 2025-12-04T09:29:53.6272222Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_2999a997-fbd2-4960-881d-0be2ddac2a32 2025-12-04T09:29:53.6272784Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:29:53.6273142Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:29:53.6273326Z DASHBOARD_TAG= 2025-12-04T09:29:53.6273492Z GITHUB_RUN_ID=19922031852 2025-12-04T09:29:53.6273677Z INSTALLED_OPENBLAS= 2025-12-04T09:29:53.6274104Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_2999a997-fbd2-4960-881d-0be2ddac2a32 2025-12-04T09:29:53.6274585Z GITHUB_ACTOR=pytorchmergebot 2025-12-04T09:29:53.6274781Z PR_NUMBER= 2025-12-04T09:29:53.6274927Z DESIRED_CUDA=12.8.1 2025-12-04T09:29:53.6275094Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:29:53.6275262Z VALGRIND=ON 2025-12-04T09:29:53.6275417Z ANACONDA_PYTHON_VERSION=3.12 2025-12-04T09:29:53.6275654Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:29:53.6275897Z TERM=vt100 2025-12-04T09:29:53.6276048Z INSTALLED_VISION=yes 2025-12-04T09:29:53.6276210Z BRANCH=main 2025-12-04T09:29:53.6276382Z SCCACHE_REGION=us-east-1 2025-12-04T09:29:53.6276580Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:29:53.6276776Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:29:53.6276962Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:29:53.6277342Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:29:53.6277863Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:29:53.6278120Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:29:53.6278367Z REENABLED_ISSUES= 2025-12-04T09:29:53.6278520Z DOCS= 2025-12-04T09:29:53.6278664Z SHLVL=1 2025-12-04T09:29:53.6278809Z MAX_JOBS=46 2025-12-04T09:29:53.6278960Z GITHUB_ACTOR_ID=97764156 2025-12-04T09:29:53.6279313Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:29:53.6279592Z GITHUB_REF_NAME=main 2025-12-04T09:29:53.6279861Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:29:53.6280166Z GITHUB_JOB=test 2025-12-04T09:29:53.6280329Z NO_TEST_TIMEOUT=False 2025-12-04T09:29:53.6280511Z TD_DISTRIBUTED=False 2025-12-04T09:29:53.6280697Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:29:53.6280922Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:29:53.6281109Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:29:53.6281289Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:29:53.6281840Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.12/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:29:53.6282418Z GITHUB_BASE_REF= 2025-12-04T09:29:53.6282575Z INSTALLED_ACL= 2025-12-04T09:29:53.6282951Z ARTIFACTS_FILE_SUFFIX=test-vllm_distributed_test_28_failure_test-1-1-linux.g6.12xlarge.nvidia.gpu_57118543793 2025-12-04T09:29:53.6283360Z CI=true 2025-12-04T09:29:53.6283524Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:29:53.6283754Z RUST_LOG=sccache::server=error 2025-12-04T09:29:53.6283948Z JOB_ID=57118543793 2025-12-04T09:29:53.6284126Z GITHUB_HEAD_REF= 2025-12-04T09:29:53.6284281Z GITHUB_ACTION_REF= 2025-12-04T09:29:53.6284490Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:29:53.6284742Z TEST_SHOWLOCALS=False 2025-12-04T09:29:53.6284917Z GITHUB_WORKFLOW=vllm-test 2025-12-04T09:29:53.6285116Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:29:53.6285558Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_2999a997-fbd2-4960-881d-0be2ddac2a32 2025-12-04T09:29:53.6286002Z NO_TD=False 2025-12-04T09:29:53.6286167Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:29:53.6286382Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:29:53.6286796Z OLDPWD=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/numba/cuda 2025-12-04T09:29:53.6287101Z _=/usr/bin/env 2025-12-04T09:29:53.6287263Z + echo 'Testing pytorch' 2025-12-04T09:29:53.6287444Z Testing pytorch 2025-12-04T09:29:53.6287606Z + export LANG=C.UTF-8 2025-12-04T09:29:53.6287779Z + LANG=C.UTF-8 2025-12-04T09:29:53.6287936Z + PR_NUMBER= 2025-12-04T09:29:53.6288143Z + [[ vllm_distributed_test_28_failure_test == \d\e\f\a\u\l\t ]] 2025-12-04T09:29:53.6288489Z + [[ vllm_distributed_test_28_failure_test == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T09:29:53.6288814Z + [[ vllm_distributed_test_28_failure_test == \s\l\o\w ]] 2025-12-04T09:29:53.6289118Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *slow-gradcheck* ]] 2025-12-04T09:29:53.6289425Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *cuda* ]] 2025-12-04T09:29:53.6289697Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:29:53.6289942Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:29:53.6290201Z + [[ vllm_distributed_test_28_failure_test == *crossref* ]] 2025-12-04T09:29:53.6290489Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *rocm* ]] 2025-12-04T09:29:53.6290761Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *xpu* ]] 2025-12-04T09:29:53.6291035Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 != *-bazel-* ]] 2025-12-04T09:29:53.6291293Z + pip_install ninja==1.10.2 2025-12-04T09:29:53.6291549Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T09:29:53.6291866Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T09:29:54.0015097Z Collecting ninja==1.10.2 2025-12-04T09:29:54.0249178Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T09:29:54.0468889Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T09:29:54.2594298Z Installing collected packages: ninja 2025-12-04T09:29:54.2594929Z Attempting uninstall: ninja 2025-12-04T09:29:54.2621158Z Found existing installation: ninja 1.11.1.4 2025-12-04T09:29:54.2644896Z Uninstalling ninja-1.11.1.4: 2025-12-04T09:29:54.2809084Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T09:29:54.3265835Z Successfully installed ninja-1.10.2 2025-12-04T09:29:54.3696884Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.12/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:29:54.3699747Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.12/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:29:54.3701878Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *aarch64* ]] 2025-12-04T09:29:54.3702584Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *asan* ]] 2025-12-04T09:29:54.3703151Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *-debug* ]] 2025-12-04T09:29:54.3703435Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 != *-bazel-* ]] 2025-12-04T09:29:54.3703866Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.12-gcc11. Expect the assertion to pass' 2025-12-04T09:29:54.3704393Z We are not in debug mode: linux-jammy-cuda12.8-py3.12-gcc11. Expect the assertion to pass 2025-12-04T09:29:54.3704738Z + cd test 2025-12-04T09:29:54.3704997Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T09:29:55.8488925Z + [[ vllm_distributed_test_28_failure_test == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T09:29:55.8489972Z + [[ vllm_distributed_test_28_failure_test == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T09:29:55.8490949Z + [[ vllm_distributed_test_28_failure_test == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T09:29:55.8492793Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T09:29:55.8493569Z + [[ vllm_distributed_test_28_failure_test == *pr_time_benchmarks* ]] 2025-12-04T09:29:55.8493944Z + [[ vllm_distributed_test_28_failure_test == *dynamo_eager* ]] 2025-12-04T09:29:55.8494277Z + [[ vllm_distributed_test_28_failure_test == *aot_eager* ]] 2025-12-04T09:29:55.8494880Z + [[ vllm_distributed_test_28_failure_test == *aot_inductor* ]] 2025-12-04T09:29:55.8495239Z + [[ vllm_distributed_test_28_failure_test == *max_autotune_inductor* ]] 2025-12-04T09:29:55.8495576Z + [[ vllm_distributed_test_28_failure_test == *inductor* ]] 2025-12-04T09:29:55.8495880Z + [[ vllm_distributed_test_28_failure_test == *dynamic* ]] 2025-12-04T09:29:55.8496161Z + [[ vllm_distributed_test_28_failure_test == *cpu* ]] 2025-12-04T09:29:55.8496435Z + [[ vllm_distributed_test_28_failure_test == *xpu* ]] 2025-12-04T09:29:55.8496704Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T09:29:55.8637097Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *libtorch* ]] 2025-12-04T09:29:55.8637902Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *-bazel-* ]] 2025-12-04T09:29:55.8642750Z + cd test 2025-12-04T09:29:55.8643759Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T09:29:58.2103575Z PyTorch built with: 2025-12-04T09:29:58.2104098Z - GCC 11.4 2025-12-04T09:29:58.2104494Z - C++ Version: 201703 2025-12-04T09:29:58.2105445Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:29:58.2106141Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:29:58.2106544Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:29:58.2106853Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T09:29:58.2107144Z - NNPACK is enabled 2025-12-04T09:29:58.2107381Z - CPU capability usage: AVX2 2025-12-04T09:29:58.2107629Z - CUDA Runtime 12.8 2025-12-04T09:29:58.2108164Z - NVCC architecture flags: -gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_89,code=sm_89;-gencode;arch=compute_90,code=sm_90 2025-12-04T09:29:58.2108758Z - CuDNN 91.0.2 (built against CUDA 12.9) 2025-12-04T09:29:58.2113644Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32, CUDA_VERSION=12.8, CUDNN_VERSION=9.10.2, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -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, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-12-04T09:29:58.2117206Z 2025-12-04T09:29:58.5397096Z + cd test 2025-12-04T09:29:58.5397512Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T09:29:59.7584059Z ATen/Parallel: 2025-12-04T09:29:59.7584609Z at::get_num_threads() : 24 2025-12-04T09:29:59.7585127Z at::get_num_interop_threads() : 24 2025-12-04T09:29:59.7585680Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:29:59.7586171Z omp_get_max_threads() : 24 2025-12-04T09:29:59.7586763Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:29:59.7587287Z mkl_get_max_threads() : 24 2025-12-04T09:29:59.7587635Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:29:59.7588051Z std::thread::hardware_concurrency() : 48 2025-12-04T09:29:59.7588327Z Environment variables: 2025-12-04T09:29:59.7588565Z OMP_NUM_THREADS : [not set] 2025-12-04T09:29:59.7588814Z MKL_NUM_THREADS : [not set] 2025-12-04T09:29:59.7589326Z ATen parallel backend: OpenMP 2025-12-04T09:29:59.7589535Z 2025-12-04T09:29:59.9892788Z + [[ vllm_distributed_test_28_failure_test == *numpy_2* ]] 2025-12-04T09:29:59.9893139Z + [[ linux-jammy-cuda12.8-py3.12-gcc11 == *aarch64* ]] 2025-12-04T09:29:59.9893473Z + [[ vllm_distributed_test_28_failure_test == *backward* ]] 2025-12-04T09:29:59.9893838Z + [[ vllm_distributed_test_28_failure_test == *libtorch_agnostic_targetting* ]] 2025-12-04T09:29:59.9894178Z + [[ vllm_distributed_test_28_failure_test == *xla* ]] 2025-12-04T09:29:59.9894455Z + [[ vllm_distributed_test_28_failure_test == *vllm* ]] 2025-12-04T09:29:59.9894726Z + echo 'vLLM CI uses TORCH_CUDA_ARCH_LIST: 8.9' 2025-12-04T09:29:59.9894970Z vLLM CI uses TORCH_CUDA_ARCH_LIST: 8.9 2025-12-04T09:29:59.9896251Z + cd .ci/lumen_cli 2025-12-04T09:29:59.9896462Z + python -m pip install -e . 2025-12-04T09:30:00.2729791Z Obtaining file:///var/lib/jenkins/workspace/.ci/lumen_cli 2025-12-04T09:30:01.0071122Z Installing build dependencies ... [?25l- \ done 2025-12-04T09:30:01.2231771Z [?25h Checking if build backend supports build_editable ... [?25ldone 2025-12-04T09:30:01.4919433Z [?25h Getting requirements to build editable ... [?25l- done 2025-12-04T09:30:01.6571402Z [?25h Preparing editable metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:30:01.7213521Z [?25hCollecting pyyaml==6.0.2 (from lumen-ci==0.1.0) 2025-12-04T09:30:01.7431956Z Downloading PyYAML-6.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB) 2025-12-04T09:30:01.7750219Z Collecting GitPython==3.1.45 (from lumen-ci==0.1.0) 2025-12-04T09:30:01.7787475Z Downloading gitpython-3.1.45-py3-none-any.whl.metadata (13 kB) 2025-12-04T09:30:01.8068808Z Collecting docker==7.1.0 (from lumen-ci==0.1.0) 2025-12-04T09:30:01.8107193Z Downloading docker-7.1.0-py3-none-any.whl.metadata (3.8 kB) 2025-12-04T09:30:01.8193387Z Requirement already satisfied: pytest==7.3.2 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from lumen-ci==0.1.0) (7.3.2) 2025-12-04T09:30:02.0050897Z Collecting uv==0.9.6 (from lumen-ci==0.1.0) 2025-12-04T09:30:02.0097200Z Downloading uv-0.9.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB) 2025-12-04T09:30:02.0184693Z Requirement already satisfied: requests>=2.26.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from docker==7.1.0->lumen-ci==0.1.0) (2.32.5) 2025-12-04T09:30:02.0187452Z Requirement already satisfied: urllib3>=1.26.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from docker==7.1.0->lumen-ci==0.1.0) (2.5.0) 2025-12-04T09:30:02.0323139Z Collecting gitdb<5,>=4.0.1 (from GitPython==3.1.45->lumen-ci==0.1.0) 2025-12-04T09:30:02.0358081Z Downloading gitdb-4.0.12-py3-none-any.whl.metadata (1.2 kB) 2025-12-04T09:30:02.0443875Z Requirement already satisfied: iniconfig in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from pytest==7.3.2->lumen-ci==0.1.0) (2.3.0) 2025-12-04T09:30:02.0446145Z Requirement already satisfied: packaging in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from pytest==7.3.2->lumen-ci==0.1.0) (23.1) 2025-12-04T09:30:02.0450290Z Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from pytest==7.3.2->lumen-ci==0.1.0) (1.6.0) 2025-12-04T09:30:02.0589403Z Collecting smmap<6,>=3.0.1 (from gitdb<5,>=4.0.1->GitPython==3.1.45->lumen-ci==0.1.0) 2025-12-04T09:30:02.0626247Z Downloading smmap-5.0.2-py3-none-any.whl.metadata (4.3 kB) 2025-12-04T09:30:02.0724161Z Requirement already satisfied: charset_normalizer<4,>=2 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from requests>=2.26.0->docker==7.1.0->lumen-ci==0.1.0) (3.4.4) 2025-12-04T09:30:02.0727712Z Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from requests>=2.26.0->docker==7.1.0->lumen-ci==0.1.0) (3.11) 2025-12-04T09:30:02.0731572Z Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from requests>=2.26.0->docker==7.1.0->lumen-ci==0.1.0) (2025.11.12) 2025-12-04T09:30:02.0816511Z Downloading docker-7.1.0-py3-none-any.whl (147 kB) 2025-12-04T09:30:02.0969500Z Downloading gitpython-3.1.45-py3-none-any.whl (208 kB) 2025-12-04T09:30:02.1117834Z Downloading PyYAML-6.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (767 kB) 2025-12-04T09:30:02.1306068Z [?25l ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/767.5 kB ? eta -:--:-- 2025-12-04T09:30:02.1306796Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 767.5/767.5 kB 37.2 MB/s 0:00:00 2025-12-04T09:30:02.1365879Z [?25hDownloading uv-0.9.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (21.4 MB) 2025-12-04T09:30:02.2504366Z [?25l ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/21.4 MB ? eta -:--:-- 2025-12-04T09:30:02.2505696Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21.4/21.4 MB 191.9 MB/s 0:00:00 2025-12-04T09:30:02.2537731Z [?25hDownloading gitdb-4.0.12-py3-none-any.whl (62 kB) 2025-12-04T09:30:02.2610755Z Downloading smmap-5.0.2-py3-none-any.whl (24 kB) 2025-12-04T09:30:02.2858497Z Building wheels for collected packages: lumen-ci 2025-12-04T09:30:02.4671432Z Building editable for lumen-ci (pyproject.toml) ... [?25l- done 2025-12-04T09:30:02.4679289Z [?25h Created wheel for lumen-ci: filename=lumen_ci-0.1.0-0.editable-py3-none-any.whl size=2707 sha256=8a0f1a9eb722d723d06fafe53b5d72c06af76cf61d36a1ed241e6a155ea6149d 2025-12-04T09:30:02.4681391Z Stored in directory: /tmp/pip-ephem-wheel-cache-pjarulq3/wheels/6d/29/6c/82214c85262c5bdb1d615291039f4ec9f974034103e7a303fa 2025-12-04T09:30:02.4693521Z Successfully built lumen-ci 2025-12-04T09:30:02.6291097Z Installing collected packages: uv, smmap, pyyaml, gitdb, docker, GitPython, lumen-ci 2025-12-04T09:30:02.7975612Z [?25l 2025-12-04T09:30:02.8719936Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/7 [uv] 2025-12-04T09:30:02.8720767Z  Attempting uninstall: pyyaml 2025-12-04T09:30:02.8772176Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/7 [uv] 2025-12-04T09:30:02.8773044Z  Found existing installation: PyYAML 6.0.3 2025-12-04T09:30:02.8807580Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/7 [uv] 2025-12-04T09:30:02.8808352Z  Uninstalling PyYAML-6.0.3: 2025-12-04T09:30:02.8951995Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/7 [uv] 2025-12-04T09:30:02.8952832Z  Successfully uninstalled PyYAML-6.0.3 2025-12-04T09:30:02.9659610Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/7 [uv] 2025-12-04T09:30:03.1337076Z  ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 3/7 [gitdb] 2025-12-04T09:30:03.1523442Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 5/7 [GitPython] 2025-12-04T09:30:03.1524389Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7/7 [lumen-ci] 2025-12-04T09:30:03.1524734Z [?25h 2025-12-04T09:30:03.1618682Z Successfully installed GitPython-3.1.45 docker-7.1.0 gitdb-4.0.12 lumen-ci-0.1.0 pyyaml-6.0.2 smmap-5.0.2 uv-0.9.6 2025-12-04T09:30:03.2517702Z + python -m cli.run test external vllm --test-plan vllm_distributed_test_28_failure_test --shard-id 1 --num-shards 1 2025-12-04T09:30:03.4546245Z 2025-12-04 09:30:03,454 [INFO] cli.lib.core.vllm.vllm_test: Display VllmTestParameters VllmTestParameters(torch_whls_path=PosixPath('/var/lib/jenkins/workspace/dist'), vllm_whls_path=PosixPath('/var/lib/jenkins/workspace/dist/external/vllm/wheels'), torch_cuda_arch_list='8.9', cleaning_script=PosixPath('/var/lib/jenkins/workspace/.github/ci_configs/vllm/use_existing_torch.py')) 2025-12-04T09:30:03.4548284Z 2025-12-04 09:30:03,454 [INFO] cli.lib.common.git_helper: Cloning vllm to vllm 2025-12-04T09:30:03.6636600Z 2025-12-04 09:30:03,662 [INFO] cli.lib.common.git_helper: Progress: 10% - remote: Counting objects: 10% (7/64) 2025-12-04T09:30:03.6640300Z 2025-12-04 09:30:03,663 [INFO] cli.lib.common.git_helper: Progress: 15% - remote: Counting objects: 15% (10/64) 2025-12-04T09:30:03.6643194Z 2025-12-04 09:30:03,663 [INFO] cli.lib.common.git_helper: Progress: 20% - remote: Counting objects: 20% (13/64) 2025-12-04T09:30:03.6644972Z 2025-12-04 09:30:03,663 [INFO] cli.lib.common.git_helper: Progress: 25% - remote: Counting objects: 25% (16/64) 2025-12-04T09:30:03.6645921Z 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[INFO] cli.lib.common.git_helper: Successfully cloned vllm 2025-12-04T09:30:07.6891584Z 2025-12-04 09:30:07,688 [INFO] cli.lib.core.vllm.vllm_test: Running vllm test with inputs: VllmTestParameters(torch_whls_path=PosixPath('/var/lib/jenkins/workspace/dist'), vllm_whls_path=PosixPath('/var/lib/jenkins/workspace/dist/external/vllm/wheels'), torch_cuda_arch_list='8.9', cleaning_script=PosixPath('/var/lib/jenkins/workspace/.github/ci_configs/vllm/use_existing_torch.py')) 2025-12-04T09:30:07.6908359Z 2025-12-04 09:30:07,690 [INFO] cli.lib.common.pip_helper: torch already exist with version: 2.10.0a0+gitffd9b0f 2025-12-04T09:30:07.6911296Z 2025-12-04 09:30:07,690 [INFO] cli.lib.common.pip_helper: Installing /var/lib/jenkins/workspace/dist/vision/torchvision-0.25.0a0+617079d-cp312-cp312-linux_x86_64.whl... 2025-12-04T09:30:07.6912471Z 2025-12-04 09:30:07,690 [INFO] cli.lib.common.pip_helper: pip installing packages: /opt/conda/envs/py_3.12/bin/python -m pip install /var/lib/jenkins/workspace/dist/vision/torchvision-0.25.0a0+617079d-cp312-cp312-linux_x86_64.whl 2025-12-04T09:30:07.6913838Z 2025-12-04 09:30:07,691 [INFO] cli.lib.common.utils: [cmd] /opt/conda/envs/py_3.12/bin/python -m pip install /var/lib/jenkins/workspace/dist/vision/torchvision-0.25.0a0+617079d-cp312-cp312-linux_x86_64.whl 2025-12-04T09:30:07.9786495Z Processing /var/lib/jenkins/workspace/dist/vision/torchvision-0.25.0a0+617079d-cp312-cp312-linux_x86_64.whl 2025-12-04T09:30:07.9862554Z Requirement already satisfied: numpy in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torchvision==0.25.0a0+617079d) (1.26.2) 2025-12-04T09:30:07.9863948Z Requirement already satisfied: torch in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torchvision==0.25.0a0+617079d) (2.10.0a0+gitffd9b0f) 2025-12-04T09:30:07.9867309Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torchvision==0.25.0a0+617079d) (11.0.0) 2025-12-04T09:30:07.9919588Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.25.0a0+617079d) (3.18.0) 2025-12-04T09:30:07.9922563Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.25.0a0+617079d) (4.12.2) 2025-12-04T09:30:07.9925899Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.25.0a0+617079d) (78.1.1) 2025-12-04T09:30:07.9929536Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.25.0a0+617079d) (1.13.3) 2025-12-04T09:30:07.9933123Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.25.0a0+617079d) (2.8.8) 2025-12-04T09:30:07.9935708Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.25.0a0+617079d) (3.1.6) 2025-12-04T09:30:07.9943750Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.25.0a0+617079d) (2025.10.0) 2025-12-04T09:30:08.0042921Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from sympy>=1.13.3->torch->torchvision==0.25.0a0+617079d) (1.3.0) 2025-12-04T09:30:08.0086212Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from jinja2->torch->torchvision==0.25.0a0+617079d) (3.0.3) 2025-12-04T09:30:08.1690975Z Installing collected packages: torchvision 2025-12-04T09:30:08.6011409Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T09:30:08.6480798Z 2025-12-04 09:30:08,647 [INFO] cli.lib.common.pip_helper: Installing /var/lib/jenkins/workspace/dist/audio/torchaudio-2.10.0a0+e90a398-cp312-cp312-linux_x86_64.whl... 2025-12-04T09:30:08.6482953Z 2025-12-04 09:30:08,647 [INFO] cli.lib.common.pip_helper: pip installing packages: /opt/conda/envs/py_3.12/bin/python -m pip install /var/lib/jenkins/workspace/dist/audio/torchaudio-2.10.0a0+e90a398-cp312-cp312-linux_x86_64.whl 2025-12-04T09:30:08.6484446Z 2025-12-04 09:30:08,647 [INFO] cli.lib.common.utils: [cmd] /opt/conda/envs/py_3.12/bin/python -m pip install /var/lib/jenkins/workspace/dist/audio/torchaudio-2.10.0a0+e90a398-cp312-cp312-linux_x86_64.whl 2025-12-04T09:30:08.9374155Z Processing /var/lib/jenkins/workspace/dist/audio/torchaudio-2.10.0a0+e90a398-cp312-cp312-linux_x86_64.whl 2025-12-04T09:30:08.9434228Z Requirement already satisfied: torch in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torchaudio==2.10.0a0+e90a398) (2.10.0a0+gitffd9b0f) 2025-12-04T09:30:08.9442982Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchaudio==2.10.0a0+e90a398) (3.18.0) 2025-12-04T09:30:08.9446253Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchaudio==2.10.0a0+e90a398) (4.12.2) 2025-12-04T09:30:08.9452361Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchaudio==2.10.0a0+e90a398) (78.1.1) 2025-12-04T09:30:08.9454486Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchaudio==2.10.0a0+e90a398) (1.13.3) 2025-12-04T09:30:08.9457779Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchaudio==2.10.0a0+e90a398) (2.8.8) 2025-12-04T09:30:08.9460489Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchaudio==2.10.0a0+e90a398) (3.1.6) 2025-12-04T09:30:08.9464392Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchaudio==2.10.0a0+e90a398) (2025.10.0) 2025-12-04T09:30:08.9572148Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from sympy>=1.13.3->torch->torchaudio==2.10.0a0+e90a398) (1.3.0) 2025-12-04T09:30:08.9611792Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from jinja2->torch->torchaudio==2.10.0a0+e90a398) (3.0.3) 2025-12-04T09:30:09.1276198Z Installing collected packages: torchaudio 2025-12-04T09:30:09.2771639Z Successfully installed torchaudio-2.10.0a0+e90a398 2025-12-04T09:30:09.3245152Z 2025-12-04 09:30:09,323 [INFO] cli.lib.core.vllm.vllm_test: Done. Installed torch and other torch-related wheels 2025-12-04T09:30:09.3246857Z 2025-12-04 09:30:09,324 [INFO] cli.lib.core.vllm.vllm_test: Installing vllm wheels 2025-12-04T09:30:09.3249586Z 2025-12-04 09:30:09,324 [INFO] cli.lib.common.pip_helper: Installing /var/lib/jenkins/workspace/dist/external/vllm/wheels/xformers/xformers-0.0.34+3f91ad6f.d20251204-cp39-abi3-linux_x86_64.whl... 2025-12-04T09:30:09.3253056Z 2025-12-04 09:30:09,324 [INFO] cli.lib.common.pip_helper: pip installing packages: /opt/conda/envs/py_3.12/bin/python -m pip install /var/lib/jenkins/workspace/dist/external/vllm/wheels/xformers/xformers-0.0.34+3f91ad6f.d20251204-cp39-abi3-linux_x86_64.whl 2025-12-04T09:30:09.3257073Z 2025-12-04 09:30:09,324 [INFO] cli.lib.common.utils: [cmd] /opt/conda/envs/py_3.12/bin/python -m pip install /var/lib/jenkins/workspace/dist/external/vllm/wheels/xformers/xformers-0.0.34+3f91ad6f.d20251204-cp39-abi3-linux_x86_64.whl 2025-12-04T09:30:09.6141417Z Processing /var/lib/jenkins/workspace/dist/external/vllm/wheels/xformers/xformers-0.0.34+3f91ad6f.d20251204-cp39-abi3-linux_x86_64.whl 2025-12-04T09:30:09.8116889Z Requirement already satisfied: torch>=2.9 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from xformers==0.0.34+3f91ad6f.d20251204) (2.10.0a0+gitffd9b0f) 2025-12-04T09:30:09.8119532Z Requirement already satisfied: numpy in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from xformers==0.0.34+3f91ad6f.d20251204) (1.26.2) 2025-12-04T09:30:09.8127387Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch>=2.9->xformers==0.0.34+3f91ad6f.d20251204) (3.18.0) 2025-12-04T09:30:09.8134118Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch>=2.9->xformers==0.0.34+3f91ad6f.d20251204) (4.12.2) 2025-12-04T09:30:09.8138040Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch>=2.9->xformers==0.0.34+3f91ad6f.d20251204) (78.1.1) 2025-12-04T09:30:09.8141478Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch>=2.9->xformers==0.0.34+3f91ad6f.d20251204) (1.13.3) 2025-12-04T09:30:09.8145374Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch>=2.9->xformers==0.0.34+3f91ad6f.d20251204) (2.8.8) 2025-12-04T09:30:09.8148158Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch>=2.9->xformers==0.0.34+3f91ad6f.d20251204) (3.1.6) 2025-12-04T09:30:09.8151578Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch>=2.9->xformers==0.0.34+3f91ad6f.d20251204) (2025.10.0) 2025-12-04T09:30:09.8259394Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from sympy>=1.13.3->torch>=2.9->xformers==0.0.34+3f91ad6f.d20251204) (1.3.0) 2025-12-04T09:30:09.8298396Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from jinja2->torch>=2.9->xformers==0.0.34+3f91ad6f.d20251204) (3.0.3) 2025-12-04T09:30:09.9990936Z Installing collected packages: xformers 2025-12-04T09:30:13.8555257Z Successfully installed xformers-0.0.34+3f91ad6f.d20251204 2025-12-04T09:30:13.9010689Z 2025-12-04 09:30:13,900 [INFO] cli.lib.common.pip_helper: Installing /var/lib/jenkins/workspace/dist/external/vllm/wheels/vllm/vllm-0.11.0rc2.dev389+ge51928192.d20251204-cp38-abi3-linux_x86_64.whl... 2025-12-04T09:30:13.9014276Z 2025-12-04 09:30:13,900 [INFO] cli.lib.common.pip_helper: pip installing packages: /opt/conda/envs/py_3.12/bin/python -m pip install /var/lib/jenkins/workspace/dist/external/vllm/wheels/vllm/vllm-0.11.0rc2.dev389+ge51928192.d20251204-cp38-abi3-linux_x86_64.whl 2025-12-04T09:30:13.9017338Z 2025-12-04 09:30:13,900 [INFO] cli.lib.common.utils: [cmd] /opt/conda/envs/py_3.12/bin/python -m pip install /var/lib/jenkins/workspace/dist/external/vllm/wheels/vllm/vllm-0.11.0rc2.dev389+ge51928192.d20251204-cp38-abi3-linux_x86_64.whl 2025-12-04T09:30:14.1875928Z Processing /var/lib/jenkins/workspace/dist/external/vllm/wheels/vllm/vllm-0.11.0rc2.dev389+ge51928192.d20251204-cp38-abi3-linux_x86_64.whl 2025-12-04T09:30:14.7886976Z Collecting regex (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:14.8126793Z Downloading regex-2025.11.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (40 kB) 2025-12-04T09:30:14.8222733Z Requirement already satisfied: cachetools in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) (6.2.2) 2025-12-04T09:30:14.8225029Z Requirement already satisfied: psutil in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) (7.1.3) 2025-12-04T09:30:14.8581297Z Collecting sentencepiece (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:14.8617204Z Downloading sentencepiece-0.2.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (10 kB) 2025-12-04T09:30:14.8675653Z Requirement already satisfied: numpy in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) (1.26.2) 2025-12-04T09:30:14.8677698Z Requirement already satisfied: requests>=2.26.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) (2.32.5) 2025-12-04T09:30:14.8679537Z Requirement already satisfied: tqdm in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) (4.67.1) 2025-12-04T09:30:14.9288940Z Collecting blake3 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:14.9332784Z Downloading blake3-1.0.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.6 kB) 2025-12-04T09:30:14.9471349Z Collecting py-cpuinfo (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:14.9507205Z Downloading py_cpuinfo-9.0.0-py3-none-any.whl.metadata (794 bytes) 2025-12-04T09:30:14.9836200Z Collecting transformers>=4.55.2 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:14.9876154Z Downloading transformers-4.57.3-py3-none-any.whl.metadata (43 kB) 2025-12-04T09:30:15.2401175Z Collecting tokenizers>=0.21.1 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:15.2438462Z Downloading tokenizers-0.22.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.8 kB) 2025-12-04T09:30:15.2501744Z Requirement already satisfied: protobuf in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) (5.29.5) 2025-12-04T09:30:15.3016561Z Collecting fastapi>=0.115.0 (from fastapi[standard]>=0.115.0->vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:15.3056286Z Downloading fastapi-0.123.7-py3-none-any.whl.metadata (30 kB) 2025-12-04T09:30:15.3147475Z Requirement already satisfied: aiohttp in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) (3.13.2) 2025-12-04T09:30:15.3565829Z Collecting openai>=1.99.1 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:15.3602184Z Downloading openai-2.8.1-py3-none-any.whl.metadata (29 kB) 2025-12-04T09:30:15.4516870Z Collecting pydantic>=2.12.0 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:15.4555611Z Downloading pydantic-2.12.5-py3-none-any.whl.metadata (90 kB) 2025-12-04T09:30:15.4747715Z Collecting prometheus_client>=0.18.0 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:15.4785549Z Downloading prometheus_client-0.23.1-py3-none-any.whl.metadata (1.9 kB) 2025-12-04T09:30:15.4834678Z Requirement already satisfied: pillow in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) (11.0.0) 2025-12-04T09:30:15.4962944Z Collecting prometheus-fastapi-instrumentator>=7.0.0 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:15.5006225Z Downloading prometheus_fastapi_instrumentator-7.1.0-py3-none-any.whl.metadata (13 kB) 2025-12-04T09:30:15.5314545Z Collecting tiktoken>=0.6.0 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:15.5354132Z Downloading tiktoken-0.12.0-cp312-cp312-manylinux_2_28_x86_64.whl.metadata (6.7 kB) 2025-12-04T09:30:15.5563642Z Collecting lm-format-enforcer==0.11.3 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:15.5614001Z Downloading lm_format_enforcer-0.11.3-py3-none-any.whl.metadata (17 kB) 2025-12-04T09:30:15.6025417Z Collecting llguidance<0.8.0,>=0.7.11 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:15.6084500Z Downloading llguidance-0.7.30-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (10 kB) 2025-12-04T09:30:15.6399874Z Collecting outlines_core==0.2.11 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:15.6441722Z Downloading outlines_core-0.2.11-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.8 kB) 2025-12-04T09:30:15.6643477Z Collecting diskcache==5.6.3 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:15.6675889Z Downloading diskcache-5.6.3-py3-none-any.whl.metadata (20 kB) 2025-12-04T09:30:15.6809037Z Collecting lark==1.2.2 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:15.6851636Z Downloading lark-1.2.2-py3-none-any.whl.metadata (1.8 kB) 2025-12-04T09:30:15.7178632Z Collecting xgrammar==0.1.25 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:15.7214693Z Downloading xgrammar-0.1.25-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.5 kB) 2025-12-04T09:30:15.7263363Z Requirement already satisfied: typing_extensions>=4.10 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) (4.12.2) 2025-12-04T09:30:15.7266001Z Requirement already satisfied: filelock>=3.16.1 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) (3.18.0) 2025-12-04T09:30:15.7348406Z Collecting partial-json-parser (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:15.7403860Z Downloading partial_json_parser-0.2.1.1.post7-py3-none-any.whl.metadata (6.1 kB) 2025-12-04T09:30:15.9218202Z Collecting pyzmq>=25.0.0 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:15.9248953Z Downloading pyzmq-27.1.0-cp312-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl.metadata (6.0 kB) 2025-12-04T09:30:15.9685782Z Collecting msgspec (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:15.9725843Z Downloading msgspec-0.20.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (5.5 kB) 2025-12-04T09:30:16.0188313Z Collecting gguf>=0.13.0 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:16.0246596Z Downloading gguf-0.17.1-py3-none-any.whl.metadata (4.3 kB) 2025-12-04T09:30:16.0394752Z Collecting mistral_common>=1.8.5 (from mistral_common[audio,image]>=1.8.5->vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:16.0445855Z Downloading mistral_common-1.8.6-py3-none-any.whl.metadata (5.3 kB) 2025-12-04T09:30:16.0949019Z Collecting opencv-python-headless>=4.11.0 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:16.0986262Z Downloading opencv_python_headless-4.12.0.88-cp37-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (19 kB) 2025-12-04T09:30:16.1044877Z Requirement already satisfied: pyyaml in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) (6.0.2) 2025-12-04T09:30:16.1049222Z Requirement already satisfied: six>=1.16.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) (1.17.0) 2025-12-04T09:30:16.1054637Z Requirement already satisfied: setuptools<80,>=77.0.3 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) (78.1.1) 2025-12-04T09:30:16.1142084Z Collecting einops (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:16.1172683Z Downloading einops-0.8.1-py3-none-any.whl.metadata (13 kB) 2025-12-04T09:30:16.1389806Z Collecting compressed-tensors==0.11.0 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:16.1435228Z Downloading compressed_tensors-0.11.0-py3-none-any.whl.metadata (7.0 kB) 2025-12-04T09:30:16.1577642Z Collecting depyf==0.19.0 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:16.1626562Z Downloading depyf-0.19.0-py3-none-any.whl.metadata (7.3 kB) 2025-12-04T09:30:16.1820049Z Collecting cloudpickle (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:16.1849891Z Downloading cloudpickle-3.1.2-py3-none-any.whl.metadata (7.1 kB) 2025-12-04T09:30:16.2465735Z Collecting watchfiles (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:16.2511700Z Downloading watchfiles-1.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.9 kB) 2025-12-04T09:30:16.2646966Z Collecting python-json-logger (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:16.2684420Z Downloading python_json_logger-4.0.0-py3-none-any.whl.metadata (4.0 kB) 2025-12-04T09:30:16.2749821Z Requirement already satisfied: 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setproctitle-1.3.7-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.metadata (10 kB) 2025-12-04T09:30:16.4484506Z Collecting openai-harmony>=0.0.3 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:16.4533547Z Downloading openai_harmony-0.0.8-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.0 kB) 2025-12-04T09:30:16.5247740Z Collecting numba==0.61.2 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:16.5296564Z Downloading numba-0.61.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (2.8 kB) 2025-12-04T09:30:16.6150295Z Collecting ray>=2.48.0 (from ray[cgraph]>=2.48.0->vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:16.6187322Z Downloading ray-2.52.1-cp312-cp312-manylinux2014_x86_64.whl.metadata (21 kB) 2025-12-04T09:30:16.6780630Z Collecting flashinfer-python==0.4.0 (from vllm==0.11.0rc2.dev389+ge51928192.d20251204) 2025-12-04T09:30:16.6837538Z Downloading 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python_dotenv-1.2.1-py3-none-any.whl (21 kB) 2025-12-04T09:30:25.5423583Z Downloading uvloop-0.22.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (4.4 MB) 2025-12-04T09:30:25.5682911Z [?25l ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/4.4 MB ? eta -:--:-- 2025-12-04T09:30:25.5683533Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.4/4.4 MB 178.5 MB/s 0:00:00 2025-12-04T09:30:25.5718823Z [?25hDownloading watchfiles-1.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (456 kB) 2025-12-04T09:30:25.5832895Z Downloading websockets-15.0.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (182 kB) 2025-12-04T09:30:25.5914144Z Downloading astor-0.8.1-py2.py3-none-any.whl (27 kB) 2025-12-04T09:30:25.6011451Z Downloading blake3-1.0.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (388 kB) 2025-12-04T09:30:25.6112960Z Downloading 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2025-12-04T09:30:26.2873519Z Downloading einops-0.8.1-py3-none-any.whl (64 kB) 2025-12-04T09:30:26.2947284Z Downloading frozendict-2.4.7-py3-none-any.whl (16 kB) 2025-12-04T09:30:26.3024671Z Downloading msgspec-0.20.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (224 kB) 2025-12-04T09:30:26.3089513Z Downloading nvidia_ml_py-13.580.82-py3-none-any.whl (49 kB) 2025-12-04T09:30:26.3161714Z Downloading partial_json_parser-0.2.1.1.post7-py3-none-any.whl (10 kB) 2025-12-04T09:30:26.3223506Z Downloading py_cpuinfo-9.0.0-py3-none-any.whl (22 kB) 2025-12-04T09:30:26.3301705Z Downloading pybase64-1.4.2-cp312-cp312-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl (71 kB) 2025-12-04T09:30:26.3363675Z Downloading python_json_logger-4.0.0-py3-none-any.whl (15 kB) 2025-12-04T09:30:26.3458819Z Downloading sentencepiece-0.2.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (1.4 MB) 2025-12-04T09:30:26.3564206Z [?25l 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[?25l- \ | / - \ | / - \ | / - \ | / done 2025-12-04T09:30:29.4241312Z [?25h Created wheel for flashinfer-python: filename=flashinfer_python-0.4.0-py3-none-any.whl size=6764886 sha256=a4dbf0a4bd604a80978d5a45f07a9a3b6f2fe3dc87faf0fef782c08fa73d2560 2025-12-04T09:30:29.4242481Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/86/5d/0d/2752ded4190ef42ea316eafbbf63e32fd02342fe0764a0dfc6 2025-12-04T09:30:29.4329841Z Successfully built flashinfer-python 2025-12-04T09:30:29.7476454Z Installing collected packages: py-cpuinfo, nvidia-ml-py, fastrlock, websockets, uvloop, typing_extensions, sniffio, shellingham, setproctitle, sentry-sdk, sentencepiece, safetensors, rpds-py, rignore, regex, pyzmq, python-multipart, python-json-logger, python-dotenv, pycountry, pybase64, prometheus_client, partial-json-parser, packaging, outlines_core, nvidia-cudnn-frontend, numpy, msgspec, mdurl, llvmlite, llguidance, lark, jiter, interegular, httptools, hf-xet, h11, frozendict, fastar, einops, dnspython, diskcache, cuda-bindings, cloudpickle, click, cbor2, blake3, astor, annotated-types, annotated-doc, uvicorn, typing-inspection, tiktoken, referencing, pydantic-core, opencv-python-headless, numba, markdown-it-py, huggingface-hub, httpcore, gguf, email-validator, depyf, cupy-cuda12x, cuda-python, apache-tvm-ffi, anyio, watchfiles, tokenizers, starlette, rich, pydantic, nvidia-cutlass-dsl, jsonschema-specifications, httpx, typer, transformers, rich-toolkit, pydantic-extra-types, prometheus-fastapi-instrumentator, openai-harmony, openai, lm-format-enforcer, jsonschema, flashinfer-python, fastapi, xgrammar, ray, fastapi-cloud-cli, fastapi-cli, compressed-tensors, mistral_common, vllm 2025-12-04T09:30:29.9155728Z [?25l 2025-12-04T09:30:29.9753386Z  ━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/93 [uvloop] 2025-12-04T09:30:29.9753913Z  Attempting uninstall: typing_extensions 2025-12-04T09:30:29.9810968Z ━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/93 [uvloop] 2025-12-04T09:30:29.9811802Z  Found existing installation: typing_extensions 4.12.2 2025-12-04T09:30:29.9831681Z ━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/93 [uvloop] 2025-12-04T09:30:29.9832140Z  Uninstalling typing_extensions-4.12.2: 2025-12-04T09:30:30.0833361Z ━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/93 [uvloop] 2025-12-04T09:30:30.2512176Z  ━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  5/93 [typing_extensions] 2025-12-04T09:30:30.4191877Z  ━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  5/93 [typing_extensions] 2025-12-04T09:30:30.4723613Z  ━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  5/93 [typing_extensions] 2025-12-04T09:30:30.4724492Z  Successfully uninstalled typing_extensions-4.12.2 2025-12-04T09:30:30.5874429Z ━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  5/93 [typing_extensions] 2025-12-04T09:30:30.7562012Z  ━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/93 [sentry-sdk] 2025-12-04T09:30:30.9242356Z  ━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/93 [sentry-sdk] 2025-12-04T09:30:31.0922080Z  ━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15/93 [pyzmq] 2025-12-04T09:30:31.2605531Z  ━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19/93 [pycountry] 2025-12-04T09:30:31.2957893Z  ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21/93 [prometheus_client] 2025-12-04T09:30:31.2958363Z  Attempting uninstall: packaging 2025-12-04T09:30:31.3002916Z ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21/93 [prometheus_client] 2025-12-04T09:30:31.3003456Z  Found existing installation: packaging 23.1 2025-12-04T09:30:31.3035318Z ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21/93 [prometheus_client] 2025-12-04T09:30:31.3035808Z  Uninstalling packaging-23.1: 2025-12-04T09:30:31.3138166Z ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21/93 [prometheus_client] 2025-12-04T09:30:31.3138675Z  Successfully uninstalled packaging-23.1 2025-12-04T09:30:31.4333612Z ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21/93 [prometheus_client] 2025-12-04T09:30:31.4509581Z  ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 25/93 [nvidia-cudnn-frontend] 2025-12-04T09:30:31.4593654Z  Attempting uninstall: numpy 2025-12-04T09:30:31.4594170Z ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 25/93 [nvidia-cudnn-frontend] 2025-12-04T09:30:31.4594687Z  Found existing installation: numpy 1.26.2 2025-12-04T09:30:31.5143005Z ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 25/93 [nvidia-cudnn-frontend] 2025-12-04T09:30:31.5143483Z  Uninstalling numpy-1.26.2: 2025-12-04T09:30:31.6015417Z ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 25/93 [nvidia-cudnn-frontend] 2025-12-04T09:30:31.7692396Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26/93 [numpy] 2025-12-04T09:30:31.8655474Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26/93 [numpy] 2025-12-04T09:30:31.8655955Z  Successfully uninstalled numpy-1.26.2 2025-12-04T09:30:31.9372704Z ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26/93 [numpy] 2025-12-04T09:30:32.1053290Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26/93 [numpy] 2025-12-04T09:30:32.2733841Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26/93 [numpy] 2025-12-04T09:30:32.4631086Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26/93 [numpy] 2025-12-04T09:30:32.6515602Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26/93 [numpy] 2025-12-04T09:30:32.8202627Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26/93 [numpy] 2025-12-04T09:30:32.9885490Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26/93 [numpy] 2025-12-04T09:30:33.1566569Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26/93 [numpy] 2025-12-04T09:30:33.3306237Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26/93 [numpy] 2025-12-04T09:30:33.4329744Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26/93 [numpy] 2025-12-04T09:30:33.4330564Z  Attempting uninstall: llvmlite 2025-12-04T09:30:33.4369093Z ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26/93 [numpy] 2025-12-04T09:30:33.4369612Z  Found existing installation: llvmlite 0.43.0 2025-12-04T09:30:33.4420892Z ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26/93 [numpy] 2025-12-04T09:30:33.4421844Z  Uninstalling llvmlite-0.43.0: 2025-12-04T09:30:33.4984751Z ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26/93 [numpy] 2025-12-04T09:30:33.5265152Z  ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 29/93 [llvmlite] 2025-12-04T09:30:33.5266111Z  Successfully uninstalled llvmlite-0.43.0 2025-12-04T09:30:33.6664012Z ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 29/93 [llvmlite] 2025-12-04T09:30:33.8343586Z  ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 29/93 [llvmlite] 2025-12-04T09:30:34.0024357Z  ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 29/93 [llvmlite] 2025-12-04T09:30:34.1704316Z  ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 29/93 [llvmlite] 2025-12-04T09:30:34.2981880Z  ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 30/93 [llguidance] 2025-12-04T09:30:34.2982762Z  Attempting uninstall: lark 2025-12-04T09:30:34.3023196Z ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 30/93 [llguidance] 2025-12-04T09:30:34.3024151Z  Found existing installation: lark 0.12.0 2025-12-04T09:30:34.3078606Z ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 30/93 [llguidance] 2025-12-04T09:30:34.3079597Z  Uninstalling lark-0.12.0: 2025-12-04T09:30:34.3320048Z ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 30/93 [llguidance] 2025-12-04T09:30:34.3320952Z  Successfully uninstalled lark-0.12.0 2025-12-04T09:30:34.3384192Z ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 30/93 [llguidance] 2025-12-04T09:30:34.5064854Z  ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 31/93 [lark] 2025-12-04T09:30:34.6744696Z  ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 37/93 [frozendict] 2025-12-04T09:30:34.7957745Z  ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 40/93 [dnspython] 2025-12-04T09:30:34.7958639Z  Attempting uninstall: cuda-bindings 2025-12-04T09:30:34.7992355Z ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 40/93 [dnspython] 2025-12-04T09:30:34.7993328Z  Found existing installation: cuda-bindings 12.9.4 2025-12-04T09:30:34.8054651Z ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 40/93 [dnspython] 2025-12-04T09:30:34.8055518Z  Uninstalling cuda-bindings-12.9.4: 2025-12-04T09:30:34.8424928Z ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 40/93 [dnspython] 2025-12-04T09:30:35.0105192Z  ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 42/93 [cuda-bindings] 2025-12-04T09:30:35.1826588Z  ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 42/93 [cuda-bindings] 2025-12-04T09:30:35.3451058Z  ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 42/93 [cuda-bindings] 2025-12-04T09:30:35.3451574Z  Successfully uninstalled cuda-bindings-12.9.4 2025-12-04T09:30:35.3507388Z ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 42/93 [cuda-bindings] 2025-12-04T09:30:35.5185828Z  ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 42/93 [cuda-bindings] 2025-12-04T09:30:35.6161583Z  ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 42/93 [cuda-bindings] 2025-12-04T09:30:35.6163068Z  Attempting uninstall: click 2025-12-04T09:30:35.6194750Z ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 42/93 [cuda-bindings] 2025-12-04T09:30:35.6195727Z  Found existing installation: click 8.3.1 2025-12-04T09:30:35.6228590Z ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 42/93 [cuda-bindings] 2025-12-04T09:30:35.6229025Z  Uninstalling click-8.3.1: 2025-12-04T09:30:35.6349473Z ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 42/93 [cuda-bindings] 2025-12-04T09:30:35.6350406Z  Successfully uninstalled click-8.3.1 2025-12-04T09:30:35.6863480Z ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 42/93 [cuda-bindings] 2025-12-04T09:30:35.8576050Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 44/93 [click] 2025-12-04T09:30:36.0256827Z  ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━ 53/93 [referencing] 2025-12-04T09:30:36.1935774Z  ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 55/93 [opencv-python-headless] 2025-12-04T09:30:36.3616643Z  ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 55/93 [opencv-python-headless] 2025-12-04T09:30:36.4940932Z  ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 55/93 [opencv-python-headless] 2025-12-04T09:30:36.4941777Z  Attempting uninstall: numba 2025-12-04T09:30:36.4986668Z ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 55/93 [opencv-python-headless] 2025-12-04T09:30:36.4987624Z  Found existing installation: numba 0.60.0 2025-12-04T09:30:36.5295824Z ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 55/93 [opencv-python-headless] 2025-12-04T09:30:36.5707834Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 56/93 [numba] 2025-12-04T09:30:36.5708766Z  Uninstalling numba-0.60.0: 2025-12-04T09:30:36.6975812Z ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 56/93 [numba] 2025-12-04T09:30:36.8655785Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 56/93 [numba] 2025-12-04T09:30:36.9537439Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 56/93 [numba] 2025-12-04T09:30:36.9538342Z  Successfully uninstalled numba-0.60.0 2025-12-04T09:30:37.0335883Z ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 56/93 [numba] 2025-12-04T09:30:37.2046259Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 56/93 [numba] 2025-12-04T09:30:37.3727404Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 56/93 [numba] 2025-12-04T09:30:37.5437260Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 56/93 [numba] 2025-12-04T09:30:37.7127363Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 56/93 [numba] 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━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 63/93 [cupy-cuda12x] 2025-12-04T09:30:39.9529130Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 63/93 [cupy-cuda12x] 2025-12-04T09:30:40.1208991Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 63/93 [cupy-cuda12x] 2025-12-04T09:30:40.2887569Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 63/93 [cupy-cuda12x] 2025-12-04T09:30:40.4568845Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 63/93 [cupy-cuda12x] 2025-12-04T09:30:40.6249043Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 63/93 [cupy-cuda12x] 2025-12-04T09:30:40.7932115Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 63/93 [cupy-cuda12x] 2025-12-04T09:30:40.9620000Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 63/93 [cupy-cuda12x] 2025-12-04T09:30:41.1299898Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 63/93 [cupy-cuda12x] 2025-12-04T09:30:41.2978622Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 64/93 [cuda-python] 2025-12-04T09:30:41.4662181Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 67/93 [watchfiles] 2025-12-04T09:30:41.6371154Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 70/93 [rich] 2025-12-04T09:30:41.8050598Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 71/93 [pydantic] 2025-12-04T09:30:41.9729343Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 72/93 [nvidia-cutlass-dsl] 2025-12-04T09:30:42.1410802Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 72/93 [nvidia-cutlass-dsl] 2025-12-04T09:30:42.3088634Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 72/93 [nvidia-cutlass-dsl] 2025-12-04T09:30:42.4821239Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 72/93 [nvidia-cutlass-dsl] 2025-12-04T09:30:42.6643312Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 72/93 [nvidia-cutlass-dsl] 2025-12-04T09:30:42.8320744Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 72/93 [nvidia-cutlass-dsl] 2025-12-04T09:30:43.0022931Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 72/93 [nvidia-cutlass-dsl] 2025-12-04T09:30:43.1710643Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:43.3389605Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:43.5065818Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:43.6764105Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:43.8481330Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:44.0162239Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:44.1840993Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:44.3572767Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:44.5293061Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:44.6972239Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:44.8654339Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:45.0377156Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:45.2081178Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:45.3762632Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:45.5443631Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:45.7154495Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:45.8833452Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:46.0516084Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:46.2194819Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:46.3873526Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:46.5556284Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:46.7305039Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:46.8982998Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:47.0665846Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:47.2346148Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:47.4023985Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:47.5712747Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:47.7452782Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:47.9128710Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:48.0817211Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:48.2504312Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:48.4185368Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:48.5867439Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:48.7553935Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:48.9277426Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:49.0955839Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:49.2743910Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:49.4427590Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:49.6105500Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 76/93 [transformers] 2025-12-04T09:30:49.7788422Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 77/93 [rich-toolkit] 2025-12-04T09:30:49.9469619Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 78/93 [pydantic-extra-types] 2025-12-04T09:30:50.1146935Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 79/93 [prometheus-fastapi-instrumentator] 2025-12-04T09:30:50.2837374Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 81/93 [openai] 2025-12-04T09:30:50.4518153Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 81/93 [openai] 2025-12-04T09:30:50.6197564Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 81/93 [openai] 2025-12-04T09:30:50.7876859Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 81/93 [openai] 2025-12-04T09:30:50.9565350Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 81/93 [openai] 2025-12-04T09:30:51.1245239Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 82/93 [lm-format-enforcer] 2025-12-04T09:30:51.2926655Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 84/93 [flashinfer-python] 2025-12-04T09:30:51.4606047Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 84/93 [flashinfer-python] 2025-12-04T09:30:51.6289410Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 84/93 [flashinfer-python] 2025-12-04T09:30:51.7967119Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 84/93 [flashinfer-python] 2025-12-04T09:30:51.9646066Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 84/93 [flashinfer-python] 2025-12-04T09:30:52.1348426Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 84/93 [flashinfer-python] 2025-12-04T09:30:52.3027855Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 85/93 [fastapi] 2025-12-04T09:30:52.4707666Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 86/93 [xgrammar] 2025-12-04T09:30:52.6386440Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:52.8066281Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:52.9746278Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:53.1426990Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:53.3119393Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:53.4798230Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:53.6477199Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:53.8158109Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:53.9866118Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:54.1589567Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:54.3269314Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:54.5010535Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:54.6749123Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:54.8429251Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:55.0109489Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:55.1791669Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:55.3488020Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:55.5177872Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:55.6860679Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:55.8539664Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:56.0214844Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:56.1898183Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 87/93 [ray] 2025-12-04T09:30:56.3581040Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 90/93 [compressed-tensors] 2025-12-04T09:30:56.5258405Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 91/93 [mistral_common] 2025-12-04T09:30:56.6939343Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:56.8617772Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:57.0297381Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:57.1976369Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:57.3651086Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:57.5329502Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:57.7009907Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:57.8690461Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:58.0370119Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:58.2050127Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:58.3729748Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:58.5409637Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:58.7090046Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:58.8769720Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:59.0445284Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:59.2122516Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:59.3801480Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:59.5479994Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:59.7160423Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:30:59.8840670Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:00.0521200Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:00.2200255Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:00.3881233Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:00.5560231Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:00.7239320Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:00.8914015Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:01.0592537Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:01.2271925Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:01.3951639Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:01.5632018Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:01.7322838Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:01.9016043Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:02.0695851Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:02.2386129Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:02.4063118Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:02.5763477Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:02.7445971Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:02.9135422Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:03.0914497Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:03.2594470Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:03.3509947Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 92/93 [vllm] 2025-12-04T09:31:03.3510458Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 93/93 [vllm] 2025-12-04T09:31:03.3510831Z [?25h 2025-12-04T09:31:03.3664030Z Successfully installed annotated-doc-0.0.4 annotated-types-0.7.0 anyio-4.12.0 apache-tvm-ffi-0.1.0b15 astor-0.8.1 blake3-1.0.8 cbor2-5.7.1 click-8.2.1 cloudpickle-3.1.2 compressed-tensors-0.11.0 cuda-bindings-13.0.3 cuda-python-13.0.3 cupy-cuda12x-13.6.0 depyf-0.19.0 diskcache-5.6.3 dnspython-2.8.0 einops-0.8.1 email-validator-2.3.0 fastapi-0.123.7 fastapi-cli-0.0.16 fastapi-cloud-cli-0.5.2 fastar-0.8.0 fastrlock-0.8.3 flashinfer-python-0.4.0 frozendict-2.4.7 gguf-0.17.1 h11-0.16.0 hf-xet-1.2.0 httpcore-1.0.9 httptools-0.7.1 httpx-0.28.1 huggingface-hub-0.36.0 interegular-0.3.3 jiter-0.12.0 jsonschema-4.25.1 jsonschema-specifications-2025.9.1 lark-1.2.2 llguidance-0.7.30 llvmlite-0.44.0 lm-format-enforcer-0.11.3 markdown-it-py-4.0.0 mdurl-0.1.2 mistral_common-1.8.6 msgspec-0.20.0 numba-0.61.2 numpy-2.2.6 nvidia-cudnn-frontend-1.16.0 nvidia-cutlass-dsl-4.3.2 nvidia-ml-py-13.580.82 openai-2.8.1 openai-harmony-0.0.8 opencv-python-headless-4.12.0.88 outlines_core-0.2.11 packaging-25.0 partial-json-parser-0.2.1.1.post7 prometheus-fastapi-instrumentator-7.1.0 prometheus_client-0.23.1 py-cpuinfo-9.0.0 pybase64-1.4.2 pycountry-24.6.1 pydantic-2.12.5 pydantic-core-2.41.5 pydantic-extra-types-2.10.6 python-dotenv-1.2.1 python-json-logger-4.0.0 python-multipart-0.0.20 pyzmq-27.1.0 ray-2.52.1 referencing-0.37.0 regex-2025.11.3 rich-14.2.0 rich-toolkit-0.17.0 rignore-0.7.6 rpds-py-0.30.0 safetensors-0.7.0 sentencepiece-0.2.1 sentry-sdk-2.47.0 setproctitle-1.3.7 shellingham-1.5.4 sniffio-1.3.1 starlette-0.50.0 tiktoken-0.12.0 tokenizers-0.22.1 transformers-4.57.3 typer-0.20.0 typing-inspection-0.4.2 typing_extensions-4.15.0 uvicorn-0.38.0 uvloop-0.22.1 vllm-0.11.0rc2.dev389+ge51928192.d20251204 watchfiles-1.1.1 websockets-15.0.1 xgrammar-0.1.25 2025-12-04T09:31:04.2553031Z 2025-12-04 09:31:04,254 [INFO] cli.lib.core.vllm.vllm_test: Done. Installed vllm wheels 2025-12-04T09:31:04.2554230Z 2025-12-04 09:31:04,255 [INFO] cli.lib.common.pip_helper: pip installing packages: /opt/conda/envs/py_3.12/bin/python -m uv pip install -e tests/vllm_test_utils 2025-12-04T09:31:04.2555457Z 2025-12-04 09:31:04,255 [INFO] cli.lib.common.utils: [cmd] /opt/conda/envs/py_3.12/bin/python -m uv pip install -e tests/vllm_test_utils 2025-12-04T09:31:04.3490576Z Using Python 3.12.5 environment at: /opt/conda/envs/py_3.12 2025-12-04T09:31:05.0903175Z Resolved 1 package in 685ms 2025-12-04T09:31:05.1489680Z Building vllm-test-utils @ file:///var/lib/jenkins/workspace/vllm/tests/vllm_test_utils 2025-12-04T09:31:05.3563257Z Built vllm-test-utils @ file:///var/lib/jenkins/workspace/vllm/tests/vllm_test_utils 2025-12-04T09:31:05.3750122Z Prepared 1 package in 284ms 2025-12-04T09:31:05.3985131Z Installed 1 package in 23ms 2025-12-04T09:31:05.3986474Z + vllm-test-utils==0.1 (from file:///var/lib/jenkins/workspace/vllm/tests/vllm_test_utils) 2025-12-04T09:31:05.4291908Z 2025-12-04 09:31:05,428 [INFO] cli.lib.common.pip_helper: pip installing packages: /opt/conda/envs/py_3.12/bin/python -m uv pip install hf_transfer 2025-12-04T09:31:05.4292956Z 2025-12-04 09:31:05,428 [INFO] cli.lib.common.utils: [cmd] /opt/conda/envs/py_3.12/bin/python -m uv pip install hf_transfer 2025-12-04T09:31:05.5152854Z Using Python 3.12.5 environment at: /opt/conda/envs/py_3.12 2025-12-04T09:31:05.5451166Z Resolved 1 package in 23ms 2025-12-04T09:31:05.5508521Z Downloading hf-transfer (3.4MiB) 2025-12-04T09:31:05.5846370Z Downloading hf-transfer 2025-12-04T09:31:05.5849354Z Prepared 1 package in 39ms 2025-12-04T09:31:05.6036312Z Installed 1 package in 18ms 2025-12-04T09:31:05.6037177Z + hf-transfer==0.1.9 2025-12-04T09:31:05.6092009Z 2025-12-04 09:31:05,608 [INFO] cli.lib.common.utils: [cmd] /opt/conda/envs/py_3.12/bin/python use_existing_torch.py 2025-12-04T09:31:05.6336343Z >>> cleaning requirements/dev.txt 2025-12-04T09:31:05.6337000Z <<< done cleaning requirements/dev.txt 2025-12-04T09:31:05.6337415Z 2025-12-04T09:31:05.6337613Z >>> cleaning requirements/lint.txt 2025-12-04T09:31:05.6338148Z <<< done cleaning requirements/lint.txt 2025-12-04T09:31:05.6338508Z 2025-12-04T09:31:05.6338698Z >>> cleaning requirements/build.txt 2025-12-04T09:31:05.6339165Z removed: 2025-12-04T09:31:05.6371156Z <<< done cleaning requirements/build.txt 2025-12-04T09:31:05.6371702Z 2025-12-04T09:31:05.6372056Z >>> cleaning requirements/common.txt 2025-12-04T09:31:05.6372853Z <<< done cleaning requirements/common.txt 2025-12-04T09:31:05.6373284Z 2025-12-04T09:31:05.6373649Z >>> cleaning requirements/cpu-build.txt 2025-12-04T09:31:05.6375386Z removed: 2025-12-04T09:31:05.6405101Z <<< done cleaning requirements/cpu-build.txt 2025-12-04T09:31:05.6405652Z 2025-12-04T09:31:05.6405901Z >>> cleaning requirements/cpu.txt 2025-12-04T09:31:05.6406583Z removed: 2025-12-04T09:31:05.6436061Z <<< done cleaning requirements/cpu.txt 2025-12-04T09:31:05.6436713Z 2025-12-04T09:31:05.6437023Z >>> cleaning requirements/cuda.txt 2025-12-04T09:31:05.6437832Z removed: 2025-12-04T09:31:05.6473512Z <<< done cleaning requirements/cuda.txt 2025-12-04T09:31:05.6474159Z 2025-12-04T09:31:05.6474480Z >>> cleaning requirements/docs.txt 2025-12-04T09:31:05.6475267Z removed: 2025-12-04T09:31:05.6500957Z <<< done cleaning requirements/docs.txt 2025-12-04T09:31:05.6501499Z 2025-12-04T09:31:05.6501720Z >>> cleaning requirements/kv_connectors.txt 2025-12-04T09:31:05.6502117Z <<< done cleaning requirements/kv_connectors.txt 2025-12-04T09:31:05.6502349Z 2025-12-04T09:31:05.6502472Z >>> cleaning requirements/nightly_torch_test.txt 2025-12-04T09:31:05.6502823Z <<< done cleaning requirements/nightly_torch_test.txt 2025-12-04T09:31:05.6503045Z 2025-12-04T09:31:05.6503158Z >>> cleaning requirements/rocm-build.txt 2025-12-04T09:31:05.6503419Z removed: 2025-12-04T09:31:05.6517335Z <<< done cleaning requirements/rocm-build.txt 2025-12-04T09:31:05.6517813Z 2025-12-04T09:31:05.6518012Z >>> cleaning requirements/rocm-test.txt 2025-12-04T09:31:05.6518566Z <<< done cleaning requirements/rocm-test.txt 2025-12-04T09:31:05.6518995Z 2025-12-04T09:31:05.6519443Z >>> cleaning requirements/rocm.txt 2025-12-04T09:31:05.6520307Z <<< done cleaning requirements/rocm.txt 2025-12-04T09:31:05.6520658Z 2025-12-04T09:31:05.6520842Z >>> cleaning requirements/test.txt 2025-12-04T09:31:05.6521299Z removed: 2025-12-04T09:31:05.6528479Z <<< done cleaning requirements/test.txt 2025-12-04T09:31:05.6528650Z 2025-12-04T09:31:05.6528730Z >>> cleaning requirements/tpu.txt 2025-12-04T09:31:05.6529437Z removed: 2025-12-04T09:31:05.6543416Z <<< done cleaning requirements/tpu.txt 2025-12-04T09:31:05.6543665Z 2025-12-04T09:31:05.6543769Z >>> cleaning requirements/xpu.txt 2025-12-04T09:31:05.6544552Z removed: 2025-12-04T09:31:05.6555045Z <<< done cleaning requirements/xpu.txt 2025-12-04T09:31:05.6555301Z 2025-12-04T09:31:05.6555711Z >>> cleaning pyproject.toml 2025-12-04T09:31:05.6555989Z removed: 2025-12-04T09:31:05.6570746Z <<< done cleaning pyproject.toml 2025-12-04T09:31:05.6571129Z 2025-12-04T09:31:05.6603612Z 2025-12-04 09:31:05,660 [INFO] cli.lib.common.pip_helper: pip installing packages: /opt/conda/envs/py_3.12/bin/python -m uv pip install -r requirements/common.txt 2025-12-04T09:31:05.6604602Z 2025-12-04 09:31:05,660 [INFO] cli.lib.common.utils: [cmd] /opt/conda/envs/py_3.12/bin/python -m uv pip install -r requirements/common.txt 2025-12-04T09:31:05.6961106Z Using Python 3.12.5 environment at: /opt/conda/envs/py_3.12 2025-12-04T09:31:05.7130506Z Audited 50 packages in 19ms 2025-12-04T09:31:05.7156287Z 2025-12-04 09:31:05,715 [INFO] cli.lib.common.pip_helper: pip installing packages: /opt/conda/envs/py_3.12/bin/python -m uv pip install -r requirements/build.txt 2025-12-04T09:31:05.7157274Z 2025-12-04 09:31:05,715 [INFO] cli.lib.common.utils: [cmd] /opt/conda/envs/py_3.12/bin/python -m uv pip install -r requirements/build.txt 2025-12-04T09:31:05.7480733Z Using Python 3.12.5 environment at: /opt/conda/envs/py_3.12 2025-12-04T09:31:05.8221963Z Resolved 11 packages in 67ms 2025-12-04T09:31:05.8335369Z Prepared 1 package in 11ms 2025-12-04T09:31:05.8536372Z Installed 1 package in 19ms 2025-12-04T09:31:05.8537212Z + setuptools-scm==9.2.2 2025-12-04T09:31:05.8610868Z 2025-12-04 09:31:05,860 [INFO] cli.lib.core.vllm.vllm_test: generate test.txt from requirements/test.in with local torch whls 2025-12-04T09:31:06.2313216Z 2025-12-04 09:31:06,230 [INFO] cli.lib.core.vllm.vllm_test: [INFO] Updated requirements/test.in 2025-12-04T09:31:06.2319783Z 2025-12-04 09:31:06,231 [INFO] cli.lib.common.utils: [cmd] /opt/conda/envs/py_3.12/bin/python -m uv pip compile requirements/test.in -o test.txt --index-strategy unsafe-best-match --constraint snapshot_constraint.txt --torch-backend cu128 2025-12-04T09:31:06.3956821Z Updating https://github.com/IBM/terratorch.git (1.1.rc3) 2025-12-04T09:31:08.9221868Z Updated https://github.com/IBM/terratorch.git (07184fcf91a1324f831ff521dd238d97fe350e3e) 2025-12-04T09:31:11.7813226Z Resolved 329 packages in 5.45s 2025-12-04T09:31:11.7814008Z # This file was autogenerated by uv via the following command: 2025-12-04T09:31:11.7817960Z # uv pip compile requirements/test.in -o test.txt --index-strategy unsafe-best-match --constraint snapshot_constraint.txt --torch-backend cu128 2025-12-04T09:31:11.7841918Z absl-py==2.1.0 2025-12-04T09:31:11.7842195Z  # via 2025-12-04T09:31:11.7842472Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7843005Z # rouge-score 2025-12-04T09:31:11.7843346Z accelerate==1.0.1 2025-12-04T09:31:11.7843675Z  # via 2025-12-04T09:31:11.7844024Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7844456Z # lm-eval 2025-12-04T09:31:11.7844762Z # peft 2025-12-04T09:31:11.7845092Z aenum==3.1.16 2025-12-04T09:31:11.7845541Z  # via 2025-12-04T09:31:11.7845816Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7846326Z # lightly 2025-12-04T09:31:11.7846640Z affine==2.4.0 2025-12-04T09:31:11.7846857Z  # via 2025-12-04T09:31:11.7847051Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7847331Z # rasterio 2025-12-04T09:31:11.7847546Z aiohappyeyeballs==2.6.1 2025-12-04T09:31:11.7847773Z  # via 2025-12-04T09:31:11.7847952Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7848183Z # aiohttp 2025-12-04T09:31:11.7848345Z aiohttp==3.13.0 2025-12-04T09:31:11.7848521Z  # via 2025-12-04T09:31:11.7848692Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7848885Z # aiohttp-cors 2025-12-04T09:31:11.7849045Z # datasets 2025-12-04T09:31:11.7849201Z # fsspec 2025-12-04T09:31:11.7849341Z # gpt-oss 2025-12-04T09:31:11.7849739Z # lm-eval 2025-12-04T09:31:11.7849944Z # ray 2025-12-04T09:31:11.7850114Z aiohttp-cors==0.8.1 2025-12-04T09:31:11.7850293Z  # via 2025-12-04T09:31:11.7850533Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7850762Z # ray 2025-12-04T09:31:11.7850918Z aiosignal==1.4.0 2025-12-04T09:31:11.7851090Z  # via 2025-12-04T09:31:11.7851255Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7851476Z # aiohttp 2025-12-04T09:31:11.7851638Z albucore==0.0.16 2025-12-04T09:31:11.7851830Z  # via 2025-12-04T09:31:11.7851992Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7852215Z # terratorch 2025-12-04T09:31:11.7852389Z albumentations==1.4.6 2025-12-04T09:31:11.7852593Z  # via 2025-12-04T09:31:11.7852750Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7852970Z # terratorch 2025-12-04T09:31:11.7853139Z alembic==1.16.4 2025-12-04T09:31:11.7853314Z  # via 2025-12-04T09:31:11.7853474Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7853697Z # mlflow 2025-12-04T09:31:11.7853866Z annotated-types==0.7.0 2025-12-04T09:31:11.7854053Z  # via 2025-12-04T09:31:11.7854248Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7854475Z # pydantic 2025-12-04T09:31:11.7854654Z antlr4-python3-runtime==4.9.3 2025-12-04T09:31:11.7854869Z  # via 2025-12-04T09:31:11.7855029Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7855218Z # hydra-core 2025-12-04T09:31:11.7855415Z # omegaconf 2025-12-04T09:31:11.7855585Z anyio==4.6.2.post1 2025-12-04T09:31:11.7855761Z  # via 2025-12-04T09:31:11.7855924Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7856128Z # httpx 2025-12-04T09:31:11.7856486Z # starlette 2025-12-04T09:31:11.7856659Z argcomplete==3.5.1 2025-12-04T09:31:11.7856837Z  # via 2025-12-04T09:31:11.7856999Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7857261Z # datamodel-code-generator 2025-12-04T09:31:11.7857485Z arrow==1.3.0 2025-12-04T09:31:11.7857659Z  # via 2025-12-04T09:31:11.7857814Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7858046Z # isoduration 2025-12-04T09:31:11.7858222Z attrs==24.2.0 2025-12-04T09:31:11.7858389Z  # via 2025-12-04T09:31:11.7858549Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7858740Z # aiohttp 2025-12-04T09:31:11.7858883Z # fiona 2025-12-04T09:31:11.7859040Z # hypothesis 2025-12-04T09:31:11.7859198Z # jsonlines 2025-12-04T09:31:11.7859345Z # jsonschema 2025-12-04T09:31:11.7859510Z # pytest-subtests 2025-12-04T09:31:11.7859679Z # rasterio 2025-12-04T09:31:11.7859860Z # referencing 2025-12-04T09:31:11.7860040Z audioread==3.0.1 2025-12-04T09:31:11.7860214Z  # via 2025-12-04T09:31:11.7860371Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7860598Z # librosa 2025-12-04T09:31:11.7860763Z backoff==2.2.1 2025-12-04T09:31:11.7860928Z  # via 2025-12-04T09:31:11.7861106Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7861320Z # -r requirements/test.in 2025-12-04T09:31:11.7861545Z # schemathesis 2025-12-04T09:31:11.7861722Z bitsandbytes==0.46.1 2025-12-04T09:31:11.7861907Z  # via 2025-12-04T09:31:11.7862068Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7862265Z # -r requirements/test.in 2025-12-04T09:31:11.7862477Z # lightning 2025-12-04T09:31:11.7862643Z black==24.10.0 2025-12-04T09:31:11.7862808Z  # via 2025-12-04T09:31:11.7862966Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7863230Z # datamodel-code-generator 2025-12-04T09:31:11.7863437Z blinker==1.9.0 2025-12-04T09:31:11.7863633Z  # via 2025-12-04T09:31:11.7863806Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7864026Z # flask 2025-12-04T09:31:11.7864185Z blobfile==3.0.0 2025-12-04T09:31:11.7864362Z  # via 2025-12-04T09:31:11.7864517Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7864905Z # -r requirements/test.in 2025-12-04T09:31:11.7865133Z bm25s==0.2.13 2025-12-04T09:31:11.7865302Z  # via 2025-12-04T09:31:11.7865463Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7865683Z # mteb 2025-12-04T09:31:11.7865831Z boto3==1.35.57 2025-12-04T09:31:11.7866003Z  # via 2025-12-04T09:31:11.7866159Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7866386Z # runai-model-streamer-s3 2025-12-04T09:31:11.7866603Z # tensorizer 2025-12-04T09:31:11.7866774Z botocore==1.35.57 2025-12-04T09:31:11.7866951Z  # via 2025-12-04T09:31:11.7867112Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7867310Z # boto3 2025-12-04T09:31:11.7867499Z # s3transfer 2025-12-04T09:31:11.7867681Z bounded-pool-executor==0.0.3 2025-12-04T09:31:11.7867895Z  # via 2025-12-04T09:31:11.7868060Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7868277Z # pqdm 2025-12-04T09:31:11.7868467Z buildkite-test-collector==0.1.9 2025-12-04T09:31:11.7868687Z  # via 2025-12-04T09:31:11.7868845Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7869098Z # -r requirements/test.in 2025-12-04T09:31:11.7869300Z cachetools==5.5.2 2025-12-04T09:31:11.7869472Z  # via 2025-12-04T09:31:11.7869635Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7869838Z # google-auth 2025-12-04T09:31:11.7870030Z # mlflow-skinny 2025-12-04T09:31:11.7870223Z certifi==2024.8.30 2025-12-04T09:31:11.7870454Z  # via 2025-12-04T09:31:11.7870615Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7870804Z # fiona 2025-12-04T09:31:11.7870950Z # httpcore 2025-12-04T09:31:11.7871103Z # httpx 2025-12-04T09:31:11.7871343Z # lightly 2025-12-04T09:31:11.7871496Z # pyogrio 2025-12-04T09:31:11.7871648Z # pyproj 2025-12-04T09:31:11.7871792Z # rasterio 2025-12-04T09:31:11.7871989Z # requests 2025-12-04T09:31:11.7872158Z cffi==1.17.1 2025-12-04T09:31:11.7872327Z  # via 2025-12-04T09:31:11.7872489Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7872723Z # soundfile 2025-12-04T09:31:11.7872886Z chardet==5.2.0 2025-12-04T09:31:11.7873058Z  # via 2025-12-04T09:31:11.7873215Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7873460Z # mbstrdecoder 2025-12-04T09:31:11.7873644Z charset-normalizer==3.4.0 2025-12-04T09:31:11.7873845Z  # via 2025-12-04T09:31:11.7874018Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7874253Z # requests 2025-12-04T09:31:11.7874411Z chz==0.3.0 2025-12-04T09:31:11.7874577Z  # via 2025-12-04T09:31:11.7874743Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7874964Z # gpt-oss 2025-12-04T09:31:11.7875136Z click==8.1.7 2025-12-04T09:31:11.7875302Z  # via 2025-12-04T09:31:11.7875451Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7875641Z # black 2025-12-04T09:31:11.7875793Z # click-plugins 2025-12-04T09:31:11.7875959Z # cligj 2025-12-04T09:31:11.7876115Z # fiona 2025-12-04T09:31:11.7876256Z # flask 2025-12-04T09:31:11.7876390Z # jiwer 2025-12-04T09:31:11.7876536Z # mlflow-skinny 2025-12-04T09:31:11.7876695Z # nltk 2025-12-04T09:31:11.7876832Z # rasterio 2025-12-04T09:31:11.7876980Z # ray 2025-12-04T09:31:11.7877126Z # schemathesis 2025-12-04T09:31:11.7877279Z # typer 2025-12-04T09:31:11.7877453Z # uvicorn 2025-12-04T09:31:11.7877619Z click-plugins==1.1.1.2 2025-12-04T09:31:11.7877803Z  # via 2025-12-04T09:31:11.7877961Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7878159Z # fiona 2025-12-04T09:31:11.7878325Z # rasterio 2025-12-04T09:31:11.7878489Z cligj==0.7.2 2025-12-04T09:31:11.7878657Z  # via 2025-12-04T09:31:11.7878809Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7878998Z # fiona 2025-12-04T09:31:11.7879305Z # rasterio 2025-12-04T09:31:11.7879561Z cloudpickle==3.1.1 2025-12-04T09:31:11.7879747Z  # via 2025-12-04T09:31:11.7879905Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7880141Z # mlflow-skinny 2025-12-04T09:31:11.7880319Z colorama==0.4.6 2025-12-04T09:31:11.7880492Z  # via 2025-12-04T09:31:11.7880653Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7880842Z # sacrebleu 2025-12-04T09:31:11.7880998Z # schemathesis 2025-12-04T09:31:11.7881210Z # tqdm-multiprocess 2025-12-04T09:31:11.7881395Z colorful==0.5.6 2025-12-04T09:31:11.7881572Z  # via 2025-12-04T09:31:11.7881747Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7881959Z # ray 2025-12-04T09:31:11.7882115Z contourpy==1.3.0 2025-12-04T09:31:11.7882297Z  # via 2025-12-04T09:31:11.7882453Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7882682Z # matplotlib 2025-12-04T09:31:11.7882851Z coverage==7.10.6 2025-12-04T09:31:11.7883019Z  # via 2025-12-04T09:31:11.7883181Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7883411Z # pytest-cov 2025-12-04T09:31:11.7883578Z cramjam==2.9.0 2025-12-04T09:31:11.7883748Z  # via 2025-12-04T09:31:11.7883903Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7884132Z # fastparquet 2025-12-04T09:31:11.7884314Z cupy-cuda12x==13.6.0 2025-12-04T09:31:11.7884493Z  # via 2025-12-04T09:31:11.7884649Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7884856Z # ray 2025-12-04T09:31:11.7885003Z cycler==0.12.1 2025-12-04T09:31:11.7885170Z  # via 2025-12-04T09:31:11.7885331Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7885555Z # matplotlib 2025-12-04T09:31:11.7885724Z databricks-sdk==0.59.0 2025-12-04T09:31:11.7886014Z  # via 2025-12-04T09:31:11.7886172Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7886401Z # mlflow-skinny 2025-12-04T09:31:11.7886595Z datamodel-code-generator==0.26.3 2025-12-04T09:31:11.7886814Z  # via 2025-12-04T09:31:11.7886977Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7887216Z # -r requirements/test.in 2025-12-04T09:31:11.7887460Z dataproperty==1.0.1 2025-12-04T09:31:11.7887645Z  # via 2025-12-04T09:31:11.7887797Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7887992Z # pytablewriter 2025-12-04T09:31:11.7888183Z # tabledata 2025-12-04T09:31:11.7888343Z datasets==3.0.2 2025-12-04T09:31:11.7888536Z  # via 2025-12-04T09:31:11.7888701Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7888892Z # evaluate 2025-12-04T09:31:11.7889042Z # lm-eval 2025-12-04T09:31:11.7889224Z # mteb 2025-12-04T09:31:11.7889383Z decorator==5.1.1 2025-12-04T09:31:11.7889549Z  # via 2025-12-04T09:31:11.7889710Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7889935Z # librosa 2025-12-04T09:31:11.7890090Z decord==0.6.0 2025-12-04T09:31:11.7890257Z  # via 2025-12-04T09:31:11.7890418Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7890661Z # -r requirements/test.in 2025-12-04T09:31:11.7890861Z dill==0.3.8 2025-12-04T09:31:11.7891031Z  # via 2025-12-04T09:31:11.7891187Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7891391Z # datasets 2025-12-04T09:31:11.7891544Z # evaluate 2025-12-04T09:31:11.7891696Z # lm-eval 2025-12-04T09:31:11.7891883Z # multiprocess 2025-12-04T09:31:11.7892059Z distlib==0.3.9 2025-12-04T09:31:11.7892220Z  # via 2025-12-04T09:31:11.7892375Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7892598Z # virtualenv 2025-12-04T09:31:11.7892929Z dnspython==2.7.0 2025-12-04T09:31:11.7893105Z  # via 2025-12-04T09:31:11.7893260Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7893501Z # email-validator 2025-12-04T09:31:11.7893680Z docker==7.1.0 2025-12-04T09:31:11.7893853Z  # via 2025-12-04T09:31:11.7894007Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7894195Z # gpt-oss 2025-12-04T09:31:11.7894452Z # mlflow 2025-12-04T09:31:11.7894614Z docopt==0.6.2 2025-12-04T09:31:11.7894778Z  # via 2025-12-04T09:31:11.7894945Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7895171Z # num2words 2025-12-04T09:31:11.7895340Z docstring-parser==0.17.0 2025-12-04T09:31:11.7895556Z  # via 2025-12-04T09:31:11.7895716Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7895936Z # jsonargparse 2025-12-04T09:31:11.7896128Z efficientnet-pytorch==0.7.1 2025-12-04T09:31:11.7896394Z  # via segmentation-models-pytorch 2025-12-04T09:31:11.7896626Z einops==0.8.1 2025-12-04T09:31:11.7896795Z  # via 2025-12-04T09:31:11.7896961Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7897165Z # -r requirements/test.in 2025-12-04T09:31:11.7897352Z # encodec 2025-12-04T09:31:11.7897504Z # terratorch 2025-12-04T09:31:11.7897657Z # torchgeo 2025-12-04T09:31:11.7897825Z # vector-quantize-pytorch 2025-12-04T09:31:11.7898049Z # vocos 2025-12-04T09:31:11.7898206Z einx==0.3.0 2025-12-04T09:31:11.7898370Z  # via 2025-12-04T09:31:11.7898534Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7898787Z # vector-quantize-pytorch 2025-12-04T09:31:11.7899000Z email-validator==2.2.0 2025-12-04T09:31:11.7899193Z  # via 2025-12-04T09:31:11.7899356Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7899574Z # pydantic 2025-12-04T09:31:11.7899791Z encodec==0.1.1 2025-12-04T09:31:11.7899961Z  # via 2025-12-04T09:31:11.7900117Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7900334Z # vocos 2025-12-04T09:31:11.7900505Z eval-type-backport==0.2.2 2025-12-04T09:31:11.7900700Z  # via 2025-12-04T09:31:11.7900962Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7901180Z # mteb 2025-12-04T09:31:11.7901330Z evaluate==0.4.3 2025-12-04T09:31:11.7901500Z  # via 2025-12-04T09:31:11.7901661Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7901884Z # lm-eval 2025-12-04T09:31:11.7902050Z fastapi==0.116.1 2025-12-04T09:31:11.7902225Z  # via 2025-12-04T09:31:11.7902377Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7902570Z # gpt-oss 2025-12-04T09:31:11.7902759Z # mlflow-skinny 2025-12-04T09:31:11.7902941Z fastparquet==2024.11.0 2025-12-04T09:31:11.7903119Z  # via 2025-12-04T09:31:11.7903274Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7903501Z # genai-perf 2025-12-04T09:31:11.7903665Z fastrlock==0.8.2 2025-12-04T09:31:11.7903837Z  # via 2025-12-04T09:31:11.7903994Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7904215Z # cupy-cuda12x 2025-12-04T09:31:11.7904398Z fastsafetensors==0.1.10 2025-12-04T09:31:11.7904589Z  # via 2025-12-04T09:31:11.7904741Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7904982Z # -r requirements/test.in 2025-12-04T09:31:11.7905186Z filelock==3.16.1 2025-12-04T09:31:11.7905361Z  # via 2025-12-04T09:31:11.7905533Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7905727Z # blobfile 2025-12-04T09:31:11.7905875Z # datasets 2025-12-04T09:31:11.7906038Z # huggingface-hub 2025-12-04T09:31:11.7906202Z # ray 2025-12-04T09:31:11.7906337Z # torch 2025-12-04T09:31:11.7906487Z # transformers 2025-12-04T09:31:11.7906687Z # virtualenv 2025-12-04T09:31:11.7906844Z fiona==1.10.1 2025-12-04T09:31:11.7907021Z  # via 2025-12-04T09:31:11.7907183Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7907401Z # torchgeo 2025-12-04T09:31:11.7907568Z flask==3.1.1 2025-12-04T09:31:11.7907738Z  # via 2025-12-04T09:31:11.7907899Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7908115Z # mlflow 2025-12-04T09:31:11.7908277Z fonttools==4.55.0 2025-12-04T09:31:11.7908458Z  # via 2025-12-04T09:31:11.7908614Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7908942Z # matplotlib 2025-12-04T09:31:11.7909116Z fqdn==1.5.1 2025-12-04T09:31:11.7909276Z  # via 2025-12-04T09:31:11.7909433Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7909653Z # jsonschema 2025-12-04T09:31:11.7909810Z frozendict==2.4.6 2025-12-04T09:31:11.7909986Z  # via 2025-12-04T09:31:11.7910142Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7910350Z # einx 2025-12-04T09:31:11.7910501Z frozenlist==1.5.0 2025-12-04T09:31:11.7910674Z  # via 2025-12-04T09:31:11.7910824Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7911017Z # aiohttp 2025-12-04T09:31:11.7911197Z # aiosignal 2025-12-04T09:31:11.7911359Z fsspec==2024.9.0 2025-12-04T09:31:11.7911532Z  # via 2025-12-04T09:31:11.7911692Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7911875Z # datasets 2025-12-04T09:31:11.7912029Z # evaluate 2025-12-04T09:31:11.7912181Z # fastparquet 2025-12-04T09:31:11.7912339Z # huggingface-hub 2025-12-04T09:31:11.7912507Z # lightning 2025-12-04T09:31:11.7912668Z # pytorch-lightning 2025-12-04T09:31:11.7912870Z # torch 2025-12-04T09:31:11.7913018Z ftfy==6.3.1 2025-12-04T09:31:11.7913182Z  # via 2025-12-04T09:31:11.7913568Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7913811Z # open-clip-torch 2025-12-04T09:31:11.7914005Z genai-perf==0.0.8 2025-12-04T09:31:11.7914186Z  # via 2025-12-04T09:31:11.7914341Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7914586Z # -r requirements/test.in 2025-12-04T09:31:11.7914786Z genson==1.3.0 2025-12-04T09:31:11.7914951Z  # via 2025-12-04T09:31:11.7915111Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7915363Z # datamodel-code-generator 2025-12-04T09:31:11.7915744Z geopandas==1.0.1 2025-12-04T09:31:11.7915925Z  # via 2025-12-04T09:31:11.7916084Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7916303Z # terratorch 2025-12-04T09:31:11.7916477Z gitdb==4.0.12 2025-12-04T09:31:11.7916658Z  # via 2025-12-04T09:31:11.7916818Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7917044Z # gitpython 2025-12-04T09:31:11.7917219Z gitpython==3.1.44 2025-12-04T09:31:11.7917389Z  # via 2025-12-04T09:31:11.7917551Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7917785Z # mlflow-skinny 2025-12-04T09:31:11.7917972Z google-api-core==2.24.2 2025-12-04T09:31:11.7918160Z  # via 2025-12-04T09:31:11.7918315Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7918525Z # google-cloud-core 2025-12-04T09:31:11.7918707Z # google-cloud-storage 2025-12-04T09:31:11.7918924Z # opencensus 2025-12-04T09:31:11.7919163Z google-auth==2.40.2 2025-12-04T09:31:11.7919342Z  # via 2025-12-04T09:31:11.7919500Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7919694Z # databricks-sdk 2025-12-04T09:31:11.7919855Z # google-api-core 2025-12-04T09:31:11.7920039Z # google-cloud-core 2025-12-04T09:31:11.7920221Z # google-cloud-storage 2025-12-04T09:31:11.7920456Z # runai-model-streamer-gcs 2025-12-04T09:31:11.7920672Z google-cloud-core==2.4.3 2025-12-04T09:31:11.7920870Z  # via 2025-12-04T09:31:11.7921022Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7921259Z # google-cloud-storage 2025-12-04T09:31:11.7921467Z google-cloud-storage==3.4.0 2025-12-04T09:31:11.7921668Z  # via 2025-12-04T09:31:11.7921829Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7922088Z # runai-model-streamer-gcs 2025-12-04T09:31:11.7922298Z google-crc32c==1.7.1 2025-12-04T09:31:11.7922477Z  # via 2025-12-04T09:31:11.7922632Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7922838Z # google-cloud-storage 2025-12-04T09:31:11.7923065Z # google-resumable-media 2025-12-04T09:31:11.7923284Z google-resumable-media==2.7.2 2025-12-04T09:31:11.7923495Z  # via 2025-12-04T09:31:11.7923818Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7924078Z # google-cloud-storage 2025-12-04T09:31:11.7924296Z googleapis-common-protos==1.70.0 2025-12-04T09:31:11.7924508Z  # via 2025-12-04T09:31:11.7924666Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7924901Z # google-api-core 2025-12-04T09:31:11.7925078Z gpt-oss==0.0.8 2025-12-04T09:31:11.7925257Z  # via 2025-12-04T09:31:11.7925420Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7925656Z # -r requirements/test.in 2025-12-04T09:31:11.7925862Z graphene==3.4.3 2025-12-04T09:31:11.7926037Z  # via 2025-12-04T09:31:11.7926208Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7926437Z # mlflow 2025-12-04T09:31:11.7926602Z graphql-core==3.2.6 2025-12-04T09:31:11.7926785Z  # via 2025-12-04T09:31:11.7926943Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7927136Z # graphene 2025-12-04T09:31:11.7927294Z # graphql-relay 2025-12-04T09:31:11.7927505Z # hypothesis-graphql 2025-12-04T09:31:11.7927703Z graphql-relay==3.2.0 2025-12-04T09:31:11.7927889Z  # via 2025-12-04T09:31:11.7928043Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7928263Z # graphene 2025-12-04T09:31:11.7928424Z greenlet==3.2.3 2025-12-04T09:31:11.7928590Z  # via 2025-12-04T09:31:11.7928748Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7928980Z # sqlalchemy 2025-12-04T09:31:11.7929148Z grpcio==1.71.0 2025-12-04T09:31:11.7929317Z  # via 2025-12-04T09:31:11.7929473Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7929681Z # ray 2025-12-04T09:31:11.7929831Z gunicorn==23.0.0 2025-12-04T09:31:11.7930003Z  # via 2025-12-04T09:31:11.7930154Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7930467Z # mlflow 2025-12-04T09:31:11.7930621Z h11==0.14.0 2025-12-04T09:31:11.7930778Z  # via 2025-12-04T09:31:11.7930936Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7931127Z # httpcore 2025-12-04T09:31:11.7931319Z # uvicorn 2025-12-04T09:31:11.7931478Z h5py==3.13.0 2025-12-04T09:31:11.7931646Z  # via 2025-12-04T09:31:11.7931804Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7932020Z # terratorch 2025-12-04T09:31:11.7932187Z harfile==0.3.0 2025-12-04T09:31:11.7932356Z  # via 2025-12-04T09:31:11.7932508Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7932736Z # schemathesis 2025-12-04T09:31:11.7932912Z hf-xet==1.1.7 2025-12-04T09:31:11.7933075Z  # via 2025-12-04T09:31:11.7933229Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7933464Z # huggingface-hub 2025-12-04T09:31:11.7933643Z hiredis==3.0.0 2025-12-04T09:31:11.7933814Z  # via 2025-12-04T09:31:11.7933981Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7934198Z # tensorizer 2025-12-04T09:31:11.7934366Z html2text==2025.4.15 2025-12-04T09:31:11.7934548Z  # via 2025-12-04T09:31:11.7934715Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7934981Z # gpt-oss 2025-12-04T09:31:11.7935180Z httpcore==1.0.6 2025-12-04T09:31:11.7935380Z  # via 2025-12-04T09:31:11.7935566Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7935823Z # httpx 2025-12-04T09:31:11.7936004Z httpx==0.27.2 2025-12-04T09:31:11.7936206Z  # via 2025-12-04T09:31:11.7936395Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7936608Z # -r requirements/test.in 2025-12-04T09:31:11.7936828Z # schemathesis 2025-12-04T09:31:11.7937021Z huggingface-hub==0.34.3 2025-12-04T09:31:11.7937211Z  # via 2025-12-04T09:31:11.7937362Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7937557Z # accelerate 2025-12-04T09:31:11.7937714Z # datasets 2025-12-04T09:31:11.7937855Z # evaluate 2025-12-04T09:31:11.7938011Z # open-clip-torch 2025-12-04T09:31:11.7938175Z # peft 2025-12-04T09:31:11.7938334Z # segmentation-models-pytorch 2025-12-04T09:31:11.7938648Z # sentence-transformers 2025-12-04T09:31:11.7938841Z # terratorch 2025-12-04T09:31:11.7938987Z # timm 2025-12-04T09:31:11.7939132Z # tokenizers 2025-12-04T09:31:11.7939286Z # transformers 2025-12-04T09:31:11.7939467Z # vocos 2025-12-04T09:31:11.7939622Z humanize==4.11.0 2025-12-04T09:31:11.7939798Z  # via 2025-12-04T09:31:11.7939964Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7940208Z # runai-model-streamer 2025-12-04T09:31:11.7940407Z hydra-core==1.3.2 2025-12-04T09:31:11.7940578Z  # via 2025-12-04T09:31:11.7940740Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7940929Z # lightly 2025-12-04T09:31:11.7941106Z # lightning 2025-12-04T09:31:11.7941280Z hypothesis==6.131.0 2025-12-04T09:31:11.7941464Z  # via 2025-12-04T09:31:11.7941621Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7941820Z # hypothesis-graphql 2025-12-04T09:31:11.7942011Z # hypothesis-jsonschema 2025-12-04T09:31:11.7942237Z # schemathesis 2025-12-04T09:31:11.7942418Z hypothesis-graphql==0.11.1 2025-12-04T09:31:11.7942620Z  # via 2025-12-04T09:31:11.7942777Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7943005Z # schemathesis 2025-12-04T09:31:11.7953764Z hypothesis-jsonschema==0.23.1 2025-12-04T09:31:11.7954112Z  # via 2025-12-04T09:31:11.7954294Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7954561Z # schemathesis 2025-12-04T09:31:11.7954770Z idna==3.10 2025-12-04T09:31:11.7954976Z  # via 2025-12-04T09:31:11.7955190Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7955439Z # anyio 2025-12-04T09:31:11.7955620Z # email-validator 2025-12-04T09:31:11.7955832Z # httpx 2025-12-04T09:31:11.7956163Z # jsonschema 2025-12-04T09:31:11.7956341Z # requests 2025-12-04T09:31:11.7956559Z # yarl 2025-12-04T09:31:11.7956745Z imageio==2.37.0 2025-12-04T09:31:11.7956930Z  # via 2025-12-04T09:31:11.7957107Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7957353Z # scikit-image 2025-12-04T09:31:11.7957548Z importlib-metadata==8.7.0 2025-12-04T09:31:11.7957752Z  # via 2025-12-04T09:31:11.7957919Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7958118Z # mlflow-skinny 2025-12-04T09:31:11.7958336Z # opentelemetry-api 2025-12-04T09:31:11.7958561Z importlib-resources==6.5.2 2025-12-04T09:31:11.7958769Z  # via 2025-12-04T09:31:11.7958937Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7959267Z # typeshed-client 2025-12-04T09:31:11.7959461Z inflect==5.6.2 2025-12-04T09:31:11.7959636Z  # via 2025-12-04T09:31:11.7959799Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7960062Z # datamodel-code-generator 2025-12-04T09:31:11.7960285Z iniconfig==2.0.0 2025-12-04T09:31:11.7960468Z  # via 2025-12-04T09:31:11.7960634Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7960857Z # pytest 2025-12-04T09:31:11.7961039Z isoduration==20.11.0 2025-12-04T09:31:11.7961234Z  # via 2025-12-04T09:31:11.7961391Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7961620Z # jsonschema 2025-12-04T09:31:11.7961792Z isort==5.13.2 2025-12-04T09:31:11.7961959Z  # via 2025-12-04T09:31:11.7962126Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7962385Z # datamodel-code-generator 2025-12-04T09:31:11.7962602Z itsdangerous==2.2.0 2025-12-04T09:31:11.7962792Z  # via 2025-12-04T09:31:11.7962970Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7963191Z # flask 2025-12-04T09:31:11.7963353Z jinja2==3.1.6 2025-12-04T09:31:11.7963527Z  # via 2025-12-04T09:31:11.7963683Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7963902Z # datamodel-code-generator 2025-12-04T09:31:11.7964098Z # flask 2025-12-04T09:31:11.7964246Z # mlflow 2025-12-04T09:31:11.7964415Z # torch 2025-12-04T09:31:11.7964573Z jiwer==3.0.5 2025-12-04T09:31:11.7964859Z  # via 2025-12-04T09:31:11.7965038Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7965288Z # -r requirements/test.in 2025-12-04T09:31:11.7965499Z jmespath==1.0.1 2025-12-04T09:31:11.7965673Z  # via 2025-12-04T09:31:11.7965834Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7966027Z # boto3 2025-12-04T09:31:11.7966203Z # botocore 2025-12-04T09:31:11.7966368Z joblib==1.4.2 2025-12-04T09:31:11.7966537Z  # via 2025-12-04T09:31:11.7966696Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7966880Z # librosa 2025-12-04T09:31:11.7967029Z # nltk 2025-12-04T09:31:11.7967212Z # scikit-learn 2025-12-04T09:31:11.7967390Z jsonargparse==4.35.0 2025-12-04T09:31:11.7967583Z  # via 2025-12-04T09:31:11.7967744Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7967935Z # lightning 2025-12-04T09:31:11.7968127Z # terratorch 2025-12-04T09:31:11.7968304Z jsonlines==4.0.0 2025-12-04T09:31:11.7968486Z  # via 2025-12-04T09:31:11.7968642Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7968868Z # lm-eval 2025-12-04T09:31:11.7969034Z jsonpointer==3.0.0 2025-12-04T09:31:11.7969223Z  # via 2025-12-04T09:31:11.7969387Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7969613Z # jsonschema 2025-12-04T09:31:11.7969779Z jsonschema==4.23.0 2025-12-04T09:31:11.7969956Z  # via 2025-12-04T09:31:11.7970117Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7970321Z # hypothesis-jsonschema 2025-12-04T09:31:11.7970532Z # mistral-common 2025-12-04T09:31:11.7970697Z # ray 2025-12-04T09:31:11.7970872Z # schemathesis 2025-12-04T09:31:11.7971071Z jsonschema-specifications==2024.10.1 2025-12-04T09:31:11.7971397Z  # via 2025-12-04T09:31:11.7971551Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7971778Z # jsonschema 2025-12-04T09:31:11.7971947Z junit-xml==1.9 2025-12-04T09:31:11.7972113Z  # via 2025-12-04T09:31:11.7972273Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7972498Z # schemathesis 2025-12-04T09:31:11.7972666Z kaleido==0.2.1 2025-12-04T09:31:11.7972836Z  # via 2025-12-04T09:31:11.7972993Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7973218Z # genai-perf 2025-12-04T09:31:11.7973385Z kiwisolver==1.4.7 2025-12-04T09:31:11.7973564Z  # via 2025-12-04T09:31:11.7973723Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7973942Z # matplotlib 2025-12-04T09:31:11.7974109Z kornia==0.8.1 2025-12-04T09:31:11.7974280Z  # via 2025-12-04T09:31:11.7974447Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7974687Z # torchgeo 2025-12-04T09:31:11.7974881Z kornia-rs==0.1.9 2025-12-04T09:31:11.7975090Z  # via 2025-12-04T09:31:11.7975281Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7975542Z # kornia 2025-12-04T09:31:11.7975729Z lazy-loader==0.4 2025-12-04T09:31:11.7975938Z  # via 2025-12-04T09:31:11.7976133Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7976351Z # librosa 2025-12-04T09:31:11.7976550Z # scikit-image 2025-12-04T09:31:11.7976730Z libnacl==2.1.0 2025-12-04T09:31:11.7976896Z  # via 2025-12-04T09:31:11.7977057Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7977282Z # tensorizer 2025-12-04T09:31:11.7977450Z librosa==0.10.2.post1 2025-12-04T09:31:11.7977639Z  # via 2025-12-04T09:31:11.7977803Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7978050Z # -r requirements/test.in 2025-12-04T09:31:11.7978251Z lightly==1.5.20 2025-12-04T09:31:11.7978428Z  # via 2025-12-04T09:31:11.7978602Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7978808Z # terratorch 2025-12-04T09:31:11.7978998Z # torchgeo 2025-12-04T09:31:11.7979169Z lightly-utils==0.0.2 2025-12-04T09:31:11.7979350Z  # via 2025-12-04T09:31:11.7979510Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7979819Z # lightly 2025-12-04T09:31:11.7979997Z lightning==2.5.1.post0 2025-12-04T09:31:11.7980187Z  # via 2025-12-04T09:31:11.7980347Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7980537Z # terratorch 2025-12-04T09:31:11.7980719Z # torchgeo 2025-12-04T09:31:11.7980897Z lightning-utilities==0.14.3 2025-12-04T09:31:11.7981101Z  # via 2025-12-04T09:31:11.7981260Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7981450Z # lightning 2025-12-04T09:31:11.7981609Z # pytorch-lightning 2025-12-04T09:31:11.7981822Z # torchmetrics 2025-12-04T09:31:11.7981996Z llvmlite==0.44.0 2025-12-04T09:31:11.7982168Z  # via 2025-12-04T09:31:11.7982333Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7982556Z # numba 2025-12-04T09:31:11.7982956Z lm-eval @ git+https://github.com/EleutherAI/lm-evaluation-harness.git@206b7722158f58c35b7ffcd53b035fdbdda5126d 2025-12-04T09:31:11.7983393Z  # via 2025-12-04T09:31:11.7983560Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7983804Z # -r requirements/test.in 2025-12-04T09:31:11.7984002Z lxml==5.3.0 2025-12-04T09:31:11.7984168Z  # via 2025-12-04T09:31:11.7984330Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7984522Z # blobfile 2025-12-04T09:31:11.7984674Z # gpt-oss 2025-12-04T09:31:11.7984857Z # sacrebleu 2025-12-04T09:31:11.7985025Z mako==1.3.10 2025-12-04T09:31:11.7985193Z  # via 2025-12-04T09:31:11.7985354Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7985568Z # alembic 2025-12-04T09:31:11.7985733Z markdown==3.8.2 2025-12-04T09:31:11.7985909Z  # via 2025-12-04T09:31:11.7986064Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7986383Z # mlflow 2025-12-04T09:31:11.7986556Z markdown-it-py==3.0.0 2025-12-04T09:31:11.7986740Z  # via 2025-12-04T09:31:11.7986900Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7987118Z # rich 2025-12-04T09:31:11.7987277Z markupsafe==3.0.1 2025-12-04T09:31:11.7987455Z  # via 2025-12-04T09:31:11.7987628Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7987825Z # flask 2025-12-04T09:31:11.7987966Z # jinja2 2025-12-04T09:31:11.7988113Z # mako 2025-12-04T09:31:11.7988292Z # werkzeug 2025-12-04T09:31:11.7988452Z matplotlib==3.9.2 2025-12-04T09:31:11.7988629Z  # via 2025-12-04T09:31:11.7988793Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7988993Z # -r requirements/test.in 2025-12-04T09:31:11.7989184Z # lightning 2025-12-04T09:31:11.7989337Z # mlflow 2025-12-04T09:31:11.7989480Z # pycocotools 2025-12-04T09:31:11.7989668Z # torchgeo 2025-12-04T09:31:11.7989838Z mbstrdecoder==1.1.3 2025-12-04T09:31:11.7990019Z  # via 2025-12-04T09:31:11.7990177Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7990388Z # dataproperty 2025-12-04T09:31:11.7990558Z # pytablewriter 2025-12-04T09:31:11.7990743Z # typepy 2025-12-04T09:31:11.7990898Z mdurl==0.1.2 2025-12-04T09:31:11.7991068Z  # via 2025-12-04T09:31:11.7991220Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7991453Z # markdown-it-py 2025-12-04T09:31:11.7991641Z mistral-common==1.8.5 2025-12-04T09:31:11.7991818Z  # via 2025-12-04T09:31:11.7991978Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7992221Z # -r requirements/test.in 2025-12-04T09:31:11.7992414Z mlflow==2.22.0 2025-12-04T09:31:11.7992580Z  # via 2025-12-04T09:31:11.7992739Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7992957Z # terratorch 2025-12-04T09:31:11.7993129Z mlflow-skinny==2.22.0 2025-12-04T09:31:11.7993313Z  # via 2025-12-04T09:31:11.7993469Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7993691Z # mlflow 2025-12-04T09:31:11.7993854Z more-itertools==10.5.0 2025-12-04T09:31:11.7994036Z  # via 2025-12-04T09:31:11.7994195Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7994497Z # lm-eval 2025-12-04T09:31:11.7994662Z mpmath==1.3.0 2025-12-04T09:31:11.7994832Z  # via 2025-12-04T09:31:11.7994990Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7995207Z # sympy 2025-12-04T09:31:11.7995358Z msgpack==1.1.0 2025-12-04T09:31:11.7995528Z  # via 2025-12-04T09:31:11.7995689Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7995877Z # librosa 2025-12-04T09:31:11.7996050Z # ray 2025-12-04T09:31:11.7996201Z mteb==1.38.11 2025-12-04T09:31:11.7996363Z  # via 2025-12-04T09:31:11.7996523Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7996764Z # -r requirements/test.in 2025-12-04T09:31:11.7996963Z multidict==6.1.0 2025-12-04T09:31:11.7997142Z  # via 2025-12-04T09:31:11.7997301Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7997487Z # aiohttp 2025-12-04T09:31:11.7997674Z # yarl 2025-12-04T09:31:11.7997841Z multiprocess==0.70.16 2025-12-04T09:31:11.7998026Z  # via 2025-12-04T09:31:11.7998189Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7998385Z # datasets 2025-12-04T09:31:11.7998564Z # evaluate 2025-12-04T09:31:11.7998727Z munch==4.0.0 2025-12-04T09:31:11.7998897Z  # via 2025-12-04T09:31:11.7999123Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.7999364Z # pretrainedmodels 2025-12-04T09:31:11.7999561Z mypy-extensions==1.0.0 2025-12-04T09:31:11.7999749Z  # via 2025-12-04T09:31:11.7999912Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8000132Z # black 2025-12-04T09:31:11.8000287Z networkx==3.2.1 2025-12-04T09:31:11.8000453Z  # via 2025-12-04T09:31:11.8000609Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8000916Z # scikit-image 2025-12-04T09:31:11.8001100Z # torch 2025-12-04T09:31:11.8001252Z nltk==3.9.1 2025-12-04T09:31:11.8001416Z  # via 2025-12-04T09:31:11.8001571Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8001800Z # rouge-score 2025-12-04T09:31:11.8001977Z num2words==0.5.14 2025-12-04T09:31:11.8002148Z  # via 2025-12-04T09:31:11.8002307Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8002547Z # -r requirements/test.in 2025-12-04T09:31:11.8002752Z numba==0.61.2 2025-12-04T09:31:11.8002923Z  # via 2025-12-04T09:31:11.8003085Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8003283Z # -r requirements/test.in 2025-12-04T09:31:11.8003501Z # librosa 2025-12-04T09:31:11.8003662Z numexpr==2.10.1 2025-12-04T09:31:11.8003828Z  # via 2025-12-04T09:31:11.8003986Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8004206Z # lm-eval 2025-12-04T09:31:11.8004360Z numpy==1.26.4 2025-12-04T09:31:11.8004533Z  # via 2025-12-04T09:31:11.8004712Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8004952Z # -r requirements/test.in 2025-12-04T09:31:11.8005168Z # accelerate 2025-12-04T09:31:11.8005348Z # albucore 2025-12-04T09:31:11.8005534Z # albumentations 2025-12-04T09:31:11.8005733Z # bitsandbytes 2025-12-04T09:31:11.8005918Z # bm25s 2025-12-04T09:31:11.8006092Z # contourpy 2025-12-04T09:31:11.8006271Z # cupy-cuda12x 2025-12-04T09:31:11.8006456Z # datasets 2025-12-04T09:31:11.8006644Z # decord 2025-12-04T09:31:11.8006798Z # einx 2025-12-04T09:31:11.8006947Z # encodec 2025-12-04T09:31:11.8007100Z # evaluate 2025-12-04T09:31:11.8007248Z # fastparquet 2025-12-04T09:31:11.8007412Z # genai-perf 2025-12-04T09:31:11.8007566Z # geopandas 2025-12-04T09:31:11.8007711Z # h5py 2025-12-04T09:31:11.8007856Z # imageio 2025-12-04T09:31:11.8008004Z # librosa 2025-12-04T09:31:11.8008142Z # lightly 2025-12-04T09:31:11.8008300Z # lightly-utils 2025-12-04T09:31:11.8008464Z # matplotlib 2025-12-04T09:31:11.8008620Z # mistral-common 2025-12-04T09:31:11.8008781Z # mlflow 2025-12-04T09:31:11.8008924Z # mteb 2025-12-04T09:31:11.8010717Z # numba 2025-12-04T09:31:11.8010893Z # numexpr 2025-12-04T09:31:11.8011061Z # opencv-python-headless 2025-12-04T09:31:11.8011251Z # pandas 2025-12-04T09:31:11.8011396Z # patsy 2025-12-04T09:31:11.8011541Z # peft 2025-12-04T09:31:11.8011685Z # pycocotools 2025-12-04T09:31:11.8011845Z # pyogrio 2025-12-04T09:31:11.8011989Z # rasterio 2025-12-04T09:31:11.8012140Z # rioxarray 2025-12-04T09:31:11.8012288Z # rouge-score 2025-12-04T09:31:11.8012456Z # runai-model-streamer 2025-12-04T09:31:11.8012639Z # sacrebleu 2025-12-04T09:31:11.8012788Z # scikit-image 2025-12-04T09:31:11.8012947Z # scikit-learn 2025-12-04T09:31:11.8013104Z # scipy 2025-12-04T09:31:11.8013449Z # segmentation-models-pytorch 2025-12-04T09:31:11.8013666Z # shapely 2025-12-04T09:31:11.8013810Z # soxr 2025-12-04T09:31:11.8013950Z # statsmodels 2025-12-04T09:31:11.8014107Z # tensorboardx 2025-12-04T09:31:11.8014269Z # tensorizer 2025-12-04T09:31:11.8014416Z # tifffile 2025-12-04T09:31:11.8014570Z # torchgeo 2025-12-04T09:31:11.8014740Z # torchmetrics 2025-12-04T09:31:11.8014924Z # torchvision 2025-12-04T09:31:11.8015106Z # transformers 2025-12-04T09:31:11.8015297Z # tritonclient 2025-12-04T09:31:11.8015474Z # vocos 2025-12-04T09:31:11.8015690Z # xarray 2025-12-04T09:31:11.8015879Z omegaconf==2.3.0 2025-12-04T09:31:11.8016079Z  # via 2025-12-04T09:31:11.8016274Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8016502Z # hydra-core 2025-12-04T09:31:11.8016684Z # lightning 2025-12-04T09:31:11.8016864Z open-clip-torch==2.32.0 2025-12-04T09:31:11.8017109Z  # via -r requirements/test.in 2025-12-04T09:31:11.8017536Z openai-harmony==0.0.4 2025-12-04T09:31:11.8017742Z  # via 2025-12-04T09:31:11.8017907Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8018134Z # gpt-oss 2025-12-04T09:31:11.8018300Z opencensus==0.11.4 2025-12-04T09:31:11.8018475Z  # via 2025-12-04T09:31:11.8018634Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8018848Z # ray 2025-12-04T09:31:11.8019012Z opencensus-context==0.1.3 2025-12-04T09:31:11.8019213Z  # via 2025-12-04T09:31:11.8019366Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8019594Z # opencensus 2025-12-04T09:31:11.8019783Z opencv-python-headless==4.11.0.86 2025-12-04T09:31:11.8020001Z  # via 2025-12-04T09:31:11.8020173Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8020379Z # -r requirements/test.in 2025-12-04T09:31:11.8020559Z # albucore 2025-12-04T09:31:11.8020711Z # albumentations 2025-12-04T09:31:11.8020915Z # mistral-common 2025-12-04T09:31:11.8021106Z opentelemetry-api==1.35.0 2025-12-04T09:31:11.8021305Z  # via 2025-12-04T09:31:11.8021465Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8021657Z # mlflow-skinny 2025-12-04T09:31:11.8021853Z # opentelemetry-exporter-prometheus 2025-12-04T09:31:11.8022098Z # opentelemetry-sdk 2025-12-04T09:31:11.8022353Z # opentelemetry-semantic-conventions 2025-12-04T09:31:11.8022618Z opentelemetry-exporter-prometheus==0.56b0 2025-12-04T09:31:11.8022867Z  # via 2025-12-04T09:31:11.8023027Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8023237Z # ray 2025-12-04T09:31:11.8023402Z opentelemetry-proto==1.36.0 2025-12-04T09:31:11.8023610Z  # via 2025-12-04T09:31:11.8023764Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8023979Z # ray 2025-12-04T09:31:11.8024142Z opentelemetry-sdk==1.35.0 2025-12-04T09:31:11.8024332Z  # via 2025-12-04T09:31:11.8024491Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8024714Z # mlflow-skinny 2025-12-04T09:31:11.8024932Z # opentelemetry-exporter-prometheus 2025-12-04T09:31:11.8025216Z # ray 2025-12-04T09:31:11.8025447Z opentelemetry-semantic-conventions==0.56b0 2025-12-04T09:31:11.8025891Z  # via 2025-12-04T09:31:11.8026090Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8026379Z # opentelemetry-sdk 2025-12-04T09:31:11.8026612Z packaging==24.2 2025-12-04T09:31:11.8026840Z  # via 2025-12-04T09:31:11.8027013Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8027215Z # accelerate 2025-12-04T09:31:11.8027366Z # black 2025-12-04T09:31:11.8027531Z # datamodel-code-generator 2025-12-04T09:31:11.8027723Z # datasets 2025-12-04T09:31:11.8027870Z # evaluate 2025-12-04T09:31:11.8028028Z # fastparquet 2025-12-04T09:31:11.8028190Z # geopandas 2025-12-04T09:31:11.8028342Z # gunicorn 2025-12-04T09:31:11.8028504Z # huggingface-hub 2025-12-04T09:31:11.8028686Z # hydra-core 2025-12-04T09:31:11.8028840Z # kornia 2025-12-04T09:31:11.8028992Z # lazy-loader 2025-12-04T09:31:11.8029145Z # lightning 2025-12-04T09:31:11.8029302Z # lightning-utilities 2025-12-04T09:31:11.8029485Z # matplotlib 2025-12-04T09:31:11.8029647Z # mlflow-skinny 2025-12-04T09:31:11.8029807Z # peft 2025-12-04T09:31:11.8029954Z # plotly 2025-12-04T09:31:11.8030102Z # pooch 2025-12-04T09:31:11.8030244Z # pyogrio 2025-12-04T09:31:11.8030398Z # pytest 2025-12-04T09:31:11.8030560Z # pytest-rerunfailures 2025-12-04T09:31:11.8030757Z # pytorch-lightning 2025-12-04T09:31:11.8030932Z # ray 2025-12-04T09:31:11.8031075Z # rioxarray 2025-12-04T09:31:11.8031226Z # scikit-image 2025-12-04T09:31:11.8031388Z # statsmodels 2025-12-04T09:31:11.8031546Z # tensorboardx 2025-12-04T09:31:11.8031704Z # torchmetrics 2025-12-04T09:31:11.8031866Z # transformers 2025-12-04T09:31:11.8032033Z # typepy 2025-12-04T09:31:11.8032302Z # xarray 2025-12-04T09:31:11.8032458Z pandas==2.2.3 2025-12-04T09:31:11.8032634Z  # via 2025-12-04T09:31:11.8032796Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8032989Z # datasets 2025-12-04T09:31:11.8033145Z # evaluate 2025-12-04T09:31:11.8033296Z # fastparquet 2025-12-04T09:31:11.8033446Z # genai-perf 2025-12-04T09:31:11.8033602Z # geopandas 2025-12-04T09:31:11.8033753Z # mlflow 2025-12-04T09:31:11.8033909Z # statsmodels 2025-12-04T09:31:11.8034067Z # torchgeo 2025-12-04T09:31:11.8034248Z # xarray 2025-12-04T09:31:11.8034399Z pathspec==0.12.1 2025-12-04T09:31:11.8034577Z  # via 2025-12-04T09:31:11.8034760Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8035014Z # black 2025-12-04T09:31:11.8035212Z pathvalidate==3.2.1 2025-12-04T09:31:11.8035424Z  # via 2025-12-04T09:31:11.8035612Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8035892Z # pytablewriter 2025-12-04T09:31:11.8036114Z patsy==1.0.1 2025-12-04T09:31:11.8036309Z  # via 2025-12-04T09:31:11.8036470Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8036699Z # statsmodels 2025-12-04T09:31:11.8036880Z peft==0.16.0 2025-12-04T09:31:11.8037052Z  # via 2025-12-04T09:31:11.8037212Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8037411Z # -r requirements/test.in 2025-12-04T09:31:11.8037629Z # lm-eval 2025-12-04T09:31:11.8037791Z pillow==10.4.0 2025-12-04T09:31:11.8037959Z  # via 2025-12-04T09:31:11.8038116Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8038306Z # genai-perf 2025-12-04T09:31:11.8038457Z # imageio 2025-12-04T09:31:11.8038604Z # lightly-utils 2025-12-04T09:31:11.8038769Z # matplotlib 2025-12-04T09:31:11.8038928Z # mistral-common 2025-12-04T09:31:11.8039158Z # scikit-image 2025-12-04T09:31:11.8039351Z # segmentation-models-pytorch 2025-12-04T09:31:11.8039576Z # sentence-transformers 2025-12-04T09:31:11.8039758Z # torchgeo 2025-12-04T09:31:11.8039951Z # torchvision 2025-12-04T09:31:11.8040132Z platformdirs==4.3.6 2025-12-04T09:31:11.8040307Z  # via 2025-12-04T09:31:11.8040546Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8040744Z # black 2025-12-04T09:31:11.8040895Z # pooch 2025-12-04T09:31:11.8041081Z # virtualenv 2025-12-04T09:31:11.8041257Z plotly==5.24.1 2025-12-04T09:31:11.8041424Z  # via 2025-12-04T09:31:11.8041584Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8041813Z # genai-perf 2025-12-04T09:31:11.8041982Z pluggy==1.5.0 2025-12-04T09:31:11.8042160Z  # via 2025-12-04T09:31:11.8042321Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8042507Z # pytest 2025-12-04T09:31:11.8042690Z # pytest-cov 2025-12-04T09:31:11.8042861Z polars==1.29.0 2025-12-04T09:31:11.8043031Z  # via 2025-12-04T09:31:11.8043198Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8043419Z # mteb 2025-12-04T09:31:11.8043576Z pooch==1.8.2 2025-12-04T09:31:11.8043740Z  # via 2025-12-04T09:31:11.8043899Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8044125Z # librosa 2025-12-04T09:31:11.8044291Z portalocker==2.10.1 2025-12-04T09:31:11.8044477Z  # via 2025-12-04T09:31:11.8044641Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8044895Z # sacrebleu 2025-12-04T09:31:11.8045095Z pqdm==0.2.0 2025-12-04T09:31:11.8045287Z  # via 2025-12-04T09:31:11.8045470Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8045761Z # -r requirements/test.in 2025-12-04T09:31:11.8046011Z pretrainedmodels==0.7.4 2025-12-04T09:31:11.8046230Z  # via 2025-12-04T09:31:11.8046415Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8046713Z # segmentation-models-pytorch 2025-12-04T09:31:11.8046953Z prometheus-client==0.22.0 2025-12-04T09:31:11.8047160Z  # via 2025-12-04T09:31:11.8047416Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8047636Z # opentelemetry-exporter-prometheus 2025-12-04T09:31:11.8047879Z # ray 2025-12-04T09:31:11.8048037Z propcache==0.2.0 2025-12-04T09:31:11.8048213Z  # via 2025-12-04T09:31:11.8048370Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8048434Z # aiohttp 2025-12-04T09:31:11.8048518Z # yarl 2025-12-04T09:31:11.8048584Z proto-plus==1.26.1 2025-12-04T09:31:11.8048667Z  # via 2025-12-04T09:31:11.8048738Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8048838Z # google-api-core 2025-12-04T09:31:11.8048907Z protobuf==5.28.3 2025-12-04T09:31:11.8048988Z  # via 2025-12-04T09:31:11.8049059Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8049131Z # google-api-core 2025-12-04T09:31:11.8049209Z # googleapis-common-protos 2025-12-04T09:31:11.8049272Z # mlflow-skinny 2025-12-04T09:31:11.8049348Z # opentelemetry-proto 2025-12-04T09:31:11.8049412Z # proto-plus 2025-12-04T09:31:11.8049477Z # ray 2025-12-04T09:31:11.8049551Z # tensorboardx 2025-12-04T09:31:11.8049645Z # tensorizer 2025-12-04T09:31:11.8049710Z psutil==6.1.0 2025-12-04T09:31:11.8049790Z  # via 2025-12-04T09:31:11.8049866Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8049935Z # accelerate 2025-12-04T09:31:11.8049994Z # peft 2025-12-04T09:31:11.8050083Z # tensorizer 2025-12-04T09:31:11.8050149Z py==1.11.0 2025-12-04T09:31:11.8050226Z  # via 2025-12-04T09:31:11.8050298Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8050400Z # pytest-forked 2025-12-04T09:31:11.8050462Z py-spy==0.4.0 2025-12-04T09:31:11.8050543Z  # via 2025-12-04T09:31:11.8050621Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8050701Z # ray 2025-12-04T09:31:11.8050766Z pyarrow==18.0.0 2025-12-04T09:31:11.8050851Z  # via 2025-12-04T09:31:11.8050923Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8050991Z # datasets 2025-12-04T09:31:11.8051055Z # genai-perf 2025-12-04T09:31:11.8051143Z # mlflow 2025-12-04T09:31:11.8051210Z pyasn1==0.6.1 2025-12-04T09:31:11.8051289Z  # via 2025-12-04T09:31:11.8051530Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8051604Z # pyasn1-modules 2025-12-04T09:31:11.8051688Z # rsa 2025-12-04T09:31:11.8051758Z pyasn1-modules==0.4.2 2025-12-04T09:31:11.8051844Z  # via 2025-12-04T09:31:11.8051916Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8052010Z # google-auth 2025-12-04T09:31:11.8052079Z pybind11==2.13.6 2025-12-04T09:31:11.8052156Z  # via 2025-12-04T09:31:11.8052228Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8052320Z # lm-eval 2025-12-04T09:31:11.8052385Z pycocotools==2.0.8 2025-12-04T09:31:11.8052472Z  # via 2025-12-04T09:31:11.8052546Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8052638Z # terratorch 2025-12-04T09:31:11.8052715Z pycountry==24.6.1 2025-12-04T09:31:11.8052795Z  # via 2025-12-04T09:31:11.8052867Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8052982Z # pydantic-extra-types 2025-12-04T09:31:11.8053046Z pycparser==2.22 2025-12-04T09:31:11.8053129Z  # via 2025-12-04T09:31:11.8053222Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8053309Z # cffi 2025-12-04T09:31:11.8053377Z pycryptodomex==3.22.0 2025-12-04T09:31:11.8053466Z  # via 2025-12-04T09:31:11.8053538Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8053627Z # blobfile 2025-12-04T09:31:11.8053696Z pydantic==2.12.0 2025-12-04T09:31:11.8053775Z  # via 2025-12-04T09:31:11.8053850Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8053923Z # -r requirements/test.in 2025-12-04T09:31:11.8053987Z # albumentations 2025-12-04T09:31:11.8054064Z # datamodel-code-generator 2025-12-04T09:31:11.8054121Z # fastapi 2025-12-04T09:31:11.8054257Z # gpt-oss 2025-12-04T09:31:11.8054317Z # lightly 2025-12-04T09:31:11.8054380Z # mistral-common 2025-12-04T09:31:11.8054452Z # mlflow-skinny 2025-12-04T09:31:11.8054517Z # mteb 2025-12-04T09:31:11.8054580Z # openai-harmony 2025-12-04T09:31:11.8054661Z # pydantic-extra-types 2025-12-04T09:31:11.8054768Z # ray 2025-12-04T09:31:11.8054846Z pydantic-core==2.41.1 2025-12-04T09:31:11.8054938Z  # via 2025-12-04T09:31:11.8055031Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8055143Z # pydantic 2025-12-04T09:31:11.8055237Z pydantic-extra-types==2.10.5 2025-12-04T09:31:11.8055329Z  # via 2025-12-04T09:31:11.8055414Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8055535Z # mistral-common 2025-12-04T09:31:11.8055608Z pygments==2.18.0 2025-12-04T09:31:11.8055700Z  # via 2025-12-04T09:31:11.8055790Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8055887Z # rich 2025-12-04T09:31:11.8055966Z pyogrio==0.11.0 2025-12-04T09:31:11.8056081Z  # via 2025-12-04T09:31:11.8056166Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8056274Z # geopandas 2025-12-04T09:31:11.8056356Z pyparsing==3.2.0 2025-12-04T09:31:11.8056441Z  # via 2025-12-04T09:31:11.8056518Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8056588Z # matplotlib 2025-12-04T09:31:11.8056678Z # rasterio 2025-12-04T09:31:11.8056744Z pyproj==3.7.1 2025-12-04T09:31:11.8056822Z  # via 2025-12-04T09:31:11.8056896Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8056959Z # geopandas 2025-12-04T09:31:11.8057021Z # rioxarray 2025-12-04T09:31:11.8057108Z # torchgeo 2025-12-04T09:31:11.8057180Z pyrate-limiter==3.7.0 2025-12-04T09:31:11.8057258Z  # via 2025-12-04T09:31:11.8057330Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8057429Z # schemathesis 2025-12-04T09:31:11.8057493Z pystemmer==3.0.0 2025-12-04T09:31:11.8057574Z  # via 2025-12-04T09:31:11.8057653Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8057736Z # mteb 2025-12-04T09:31:11.8057803Z pytablewriter==1.2.0 2025-12-04T09:31:11.8057888Z  # via 2025-12-04T09:31:11.8058051Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8058151Z # lm-eval 2025-12-04T09:31:11.8058215Z pytest==8.3.5 2025-12-04T09:31:11.8058298Z  # via 2025-12-04T09:31:11.8058375Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8058446Z # -r requirements/test.in 2025-12-04T09:31:11.8058522Z # buildkite-test-collector 2025-12-04T09:31:11.8058590Z # genai-perf 2025-12-04T09:31:11.8058654Z # pytest-asyncio 2025-12-04T09:31:11.8058715Z # pytest-cov 2025-12-04T09:31:11.8058783Z # pytest-forked 2025-12-04T09:31:11.8058844Z # pytest-mock 2025-12-04T09:31:11.8058914Z # pytest-rerunfailures 2025-12-04T09:31:11.8058987Z # pytest-shard 2025-12-04T09:31:11.8059054Z # pytest-subtests 2025-12-04T09:31:11.8059123Z # pytest-timeout 2025-12-04T09:31:11.8059192Z # schemathesis 2025-12-04T09:31:11.8059285Z # terratorch 2025-12-04T09:31:11.8059359Z pytest-asyncio==0.24.0 2025-12-04T09:31:11.8059439Z  # via 2025-12-04T09:31:11.8059515Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8059627Z # -r requirements/test.in 2025-12-04T09:31:11.8059695Z pytest-cov==6.3.0 2025-12-04T09:31:11.8059775Z  # via 2025-12-04T09:31:11.8059865Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8059974Z # -r requirements/test.in 2025-12-04T09:31:11.8060042Z pytest-forked==1.6.0 2025-12-04T09:31:11.8060130Z  # via 2025-12-04T09:31:11.8060202Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8060309Z # -r requirements/test.in 2025-12-04T09:31:11.8060388Z pytest-mock==3.14.0 2025-12-04T09:31:11.8060470Z  # via 2025-12-04T09:31:11.8060554Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8060647Z # genai-perf 2025-12-04T09:31:11.8060834Z pytest-rerunfailures==14.0 2025-12-04T09:31:11.8060922Z  # via 2025-12-04T09:31:11.8060995Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8061097Z # -r requirements/test.in 2025-12-04T09:31:11.8061170Z pytest-shard==0.1.2 2025-12-04T09:31:11.8061253Z  # via 2025-12-04T09:31:11.8061327Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8061437Z # -r requirements/test.in 2025-12-04T09:31:11.8061510Z pytest-subtests==0.14.1 2025-12-04T09:31:11.8061589Z  # via 2025-12-04T09:31:11.8061663Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8061756Z # schemathesis 2025-12-04T09:31:11.8061823Z pytest-timeout==2.3.1 2025-12-04T09:31:11.8061906Z  # via 2025-12-04T09:31:11.8061979Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8062087Z # -r requirements/test.in 2025-12-04T09:31:11.8062152Z python-box==7.3.2 2025-12-04T09:31:11.8062230Z  # via 2025-12-04T09:31:11.8062306Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8062399Z # terratorch 2025-12-04T09:31:11.8062471Z python-dateutil==2.9.0.post0 2025-12-04T09:31:11.8062553Z  # via 2025-12-04T09:31:11.8062624Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8062685Z # arrow 2025-12-04T09:31:11.8062748Z # botocore 2025-12-04T09:31:11.8062807Z # graphene 2025-12-04T09:31:11.8062865Z # lightly 2025-12-04T09:31:11.8062930Z # matplotlib 2025-12-04T09:31:11.8062990Z # pandas 2025-12-04T09:31:11.8063080Z # typepy 2025-12-04T09:31:11.8063155Z python-rapidjson==1.20 2025-12-04T09:31:11.8063234Z  # via 2025-12-04T09:31:11.8063314Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8063417Z # tritonclient 2025-12-04T09:31:11.8063489Z pytorch-lightning==2.6.0 2025-12-04T09:31:11.8063572Z  # via 2025-12-04T09:31:11.8063630Z # lightly 2025-12-04T09:31:11.8063717Z # lightning 2025-12-04T09:31:11.8063797Z pytrec-eval-terrier==0.5.7 2025-12-04T09:31:11.8063879Z  # via 2025-12-04T09:31:11.8063950Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8064037Z # mteb 2025-12-04T09:31:11.8064097Z pytz==2024.2 2025-12-04T09:31:11.8064175Z  # via 2025-12-04T09:31:11.8064332Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8064396Z # pandas 2025-12-04T09:31:11.8064483Z # typepy 2025-12-04T09:31:11.8064548Z pyyaml==6.0.2 2025-12-04T09:31:11.8064630Z  # via 2025-12-04T09:31:11.8064708Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8064769Z # accelerate 2025-12-04T09:31:11.8064832Z # albumentations 2025-12-04T09:31:11.8064912Z # datamodel-code-generator 2025-12-04T09:31:11.8064969Z # datasets 2025-12-04T09:31:11.8065031Z # genai-perf 2025-12-04T09:31:11.8065100Z # huggingface-hub 2025-12-04T09:31:11.8065162Z # jsonargparse 2025-12-04T09:31:11.8065221Z # lightning 2025-12-04T09:31:11.8065289Z # mlflow-skinny 2025-12-04T09:31:11.8065363Z # omegaconf 2025-12-04T09:31:11.8065425Z # peft 2025-12-04T09:31:11.8065499Z # pytorch-lightning 2025-12-04T09:31:11.8065556Z # ray 2025-12-04T09:31:11.8065617Z # responses 2025-12-04T09:31:11.8065684Z # schemathesis 2025-12-04T09:31:11.8065745Z # timm 2025-12-04T09:31:11.8065806Z # transformers 2025-12-04T09:31:11.8065899Z # vocos 2025-12-04T09:31:11.8065964Z rapidfuzz==3.12.1 2025-12-04T09:31:11.8066050Z  # via 2025-12-04T09:31:11.8066123Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8066206Z # jiwer 2025-12-04T09:31:11.8066275Z rasterio==1.4.3 2025-12-04T09:31:11.8066354Z  # via 2025-12-04T09:31:11.8066425Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8066490Z # rioxarray 2025-12-04T09:31:11.8066548Z # terratorch 2025-12-04T09:31:11.8066637Z # torchgeo 2025-12-04T09:31:11.8066705Z ray==2.48.0 2025-12-04T09:31:11.8066783Z  # via 2025-12-04T09:31:11.8066941Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8067058Z # -r requirements/test.in 2025-12-04T09:31:11.8067119Z redis==5.2.0 2025-12-04T09:31:11.8067199Z  # via 2025-12-04T09:31:11.8067278Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8067371Z # tensorizer 2025-12-04T09:31:11.8067441Z referencing==0.35.1 2025-12-04T09:31:11.8067521Z  # via 2025-12-04T09:31:11.8067592Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8067659Z # jsonschema 2025-12-04T09:31:11.8067781Z # jsonschema-specifications 2025-12-04T09:31:11.8067842Z regex==2024.9.11 2025-12-04T09:31:11.8067926Z  # via 2025-12-04T09:31:11.8067998Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8068052Z # nltk 2025-12-04T09:31:11.8068127Z # open-clip-torch 2025-12-04T09:31:11.8068187Z # sacrebleu 2025-12-04T09:31:11.8068243Z # tiktoken 2025-12-04T09:31:11.8068345Z # transformers 2025-12-04T09:31:11.8068406Z requests==2.32.3 2025-12-04T09:31:11.8068488Z  # via 2025-12-04T09:31:11.8068564Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8068640Z # buildkite-test-collector 2025-12-04T09:31:11.8068710Z # databricks-sdk 2025-12-04T09:31:11.8068767Z # datasets 2025-12-04T09:31:11.8068828Z # docker 2025-12-04T09:31:11.8068890Z # evaluate 2025-12-04T09:31:11.8068955Z # google-api-core 2025-12-04T09:31:11.8069024Z # google-cloud-storage 2025-12-04T09:31:11.8069086Z # gpt-oss 2025-12-04T09:31:11.8069150Z # huggingface-hub 2025-12-04T09:31:11.8069206Z # lightly 2025-12-04T09:31:11.8069268Z # lm-eval 2025-12-04T09:31:11.8069331Z # mistral-common 2025-12-04T09:31:11.8069394Z # mlflow-skinny 2025-12-04T09:31:11.8069454Z # mteb 2025-12-04T09:31:11.8069511Z # pooch 2025-12-04T09:31:11.8069570Z # ray 2025-12-04T09:31:11.8069636Z # responses 2025-12-04T09:31:11.8069699Z # schemathesis 2025-12-04T09:31:11.8069771Z # starlette-testclient 2025-12-04T09:31:11.8069831Z # tiktoken 2025-12-04T09:31:11.8069926Z # transformers 2025-12-04T09:31:11.8069994Z responses==0.25.3 2025-12-04T09:31:11.8070076Z  # via 2025-12-04T09:31:11.8070149Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8070329Z # genai-perf 2025-12-04T09:31:11.8070407Z rfc3339-validator==0.1.4 2025-12-04T09:31:11.8070488Z  # via 2025-12-04T09:31:11.8070565Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8070655Z # jsonschema 2025-12-04T09:31:11.8070716Z rfc3987==1.3.8 2025-12-04T09:31:11.8070799Z  # via 2025-12-04T09:31:11.8070871Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8070960Z # jsonschema 2025-12-04T09:31:11.8071025Z rich==13.9.4 2025-12-04T09:31:11.8071104Z  # via 2025-12-04T09:31:11.8071175Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8071242Z # genai-perf 2025-12-04T09:31:11.8071302Z # lightning 2025-12-04T09:31:11.8071363Z # mteb 2025-12-04T09:31:11.8071450Z # typer 2025-12-04T09:31:11.8071512Z rioxarray==0.19.0 2025-12-04T09:31:11.8071597Z  # via 2025-12-04T09:31:11.8071667Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8071760Z # terratorch 2025-12-04T09:31:11.8071836Z rouge-score==0.1.2 2025-12-04T09:31:11.8071913Z  # via 2025-12-04T09:31:11.8071986Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8072078Z # lm-eval 2025-12-04T09:31:11.8072143Z rpds-py==0.20.1 2025-12-04T09:31:11.8072223Z  # via 2025-12-04T09:31:11.8072300Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8072360Z # jsonschema 2025-12-04T09:31:11.8072451Z # referencing 2025-12-04T09:31:11.8072516Z rsa==4.9.1 2025-12-04T09:31:11.8072609Z  # via 2025-12-04T09:31:11.8072687Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8072779Z # google-auth 2025-12-04T09:31:11.8072838Z rtree==1.4.0 2025-12-04T09:31:11.8072923Z  # via 2025-12-04T09:31:11.8073073Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8073163Z # torchgeo 2025-12-04T09:31:11.8073241Z runai-model-streamer==0.14.0 2025-12-04T09:31:11.8073320Z  # via 2025-12-04T09:31:11.8073392Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8073509Z # -r requirements/test.in 2025-12-04T09:31:11.8073587Z runai-model-streamer-gcs==0.14.0 2025-12-04T09:31:11.8073667Z  # via 2025-12-04T09:31:11.8073745Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8073851Z # runai-model-streamer 2025-12-04T09:31:11.8073935Z runai-model-streamer-s3==0.14.0 2025-12-04T09:31:11.8074014Z  # via 2025-12-04T09:31:11.8074086Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8074197Z # runai-model-streamer 2025-12-04T09:31:11.8074260Z s3transfer==0.10.3 2025-12-04T09:31:11.8074340Z  # via 2025-12-04T09:31:11.8074417Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8074502Z # boto3 2025-12-04T09:31:11.8074568Z sacrebleu==2.4.3 2025-12-04T09:31:11.8074660Z  # via 2025-12-04T09:31:11.8074734Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8074821Z # lm-eval 2025-12-04T09:31:11.8074896Z safetensors==0.4.5 2025-12-04T09:31:11.8074977Z  # via 2025-12-04T09:31:11.8075050Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8075126Z # accelerate 2025-12-04T09:31:11.8075194Z # open-clip-torch 2025-12-04T09:31:11.8075256Z # peft 2025-12-04T09:31:11.8075314Z # timm 2025-12-04T09:31:11.8075408Z # transformers 2025-12-04T09:31:11.8075480Z schemathesis==3.39.15 2025-12-04T09:31:11.8075567Z  # via 2025-12-04T09:31:11.8075640Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8075752Z # -r requirements/test.in 2025-12-04T09:31:11.8075817Z scikit-image==0.25.2 2025-12-04T09:31:11.8075895Z  # via 2025-12-04T09:31:11.8075971Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8076070Z # albumentations 2025-12-04T09:31:11.8076137Z scikit-learn==1.5.2 2025-12-04T09:31:11.8076219Z  # via 2025-12-04T09:31:11.8076289Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8076354Z # albumentations 2025-12-04T09:31:11.8076416Z # librosa 2025-12-04T09:31:11.8076606Z # lm-eval 2025-12-04T09:31:11.8076674Z # mlflow 2025-12-04T09:31:11.8076731Z # mteb 2025-12-04T09:31:11.8076840Z # sentence-transformers 2025-12-04T09:31:11.8076905Z scipy==1.13.1 2025-12-04T09:31:11.8076983Z  # via 2025-12-04T09:31:11.8077055Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8077124Z # albumentations 2025-12-04T09:31:11.8077182Z # bm25s 2025-12-04T09:31:11.8077238Z # librosa 2025-12-04T09:31:11.8077300Z # mlflow 2025-12-04T09:31:11.8077355Z # mteb 2025-12-04T09:31:11.8077417Z # scikit-image 2025-12-04T09:31:11.8077491Z # scikit-learn 2025-12-04T09:31:11.8077569Z # sentence-transformers 2025-12-04T09:31:11.8077632Z # statsmodels 2025-12-04T09:31:11.8077727Z # vocos 2025-12-04T09:31:11.8077809Z segmentation-models-pytorch==0.4.0 2025-12-04T09:31:11.8077888Z  # via 2025-12-04T09:31:11.8077954Z # terratorch 2025-12-04T09:31:11.8078048Z # torchgeo 2025-12-04T09:31:11.8078132Z sentence-transformers==3.2.1 2025-12-04T09:31:11.8078210Z  # via 2025-12-04T09:31:11.8078285Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8078362Z # -r requirements/test.in 2025-12-04T09:31:11.8078445Z # mteb 2025-12-04T09:31:11.8078509Z setuptools==77.0.3 2025-12-04T09:31:11.8078593Z  # via 2025-12-04T09:31:11.8078665Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8078736Z # lightning-utilities 2025-12-04T09:31:11.8078805Z # pytablewriter 2025-12-04T09:31:11.8078888Z # torch 2025-12-04T09:31:11.8078951Z shapely==2.1.1 2025-12-04T09:31:11.8079103Z  # via 2025-12-04T09:31:11.8079177Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8079333Z # geopandas 2025-12-04T09:31:11.8079430Z # torchgeo 2025-12-04T09:31:11.8079495Z shellingham==1.5.4 2025-12-04T09:31:11.8079580Z  # via 2025-12-04T09:31:11.8079653Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8079741Z # typer 2025-12-04T09:31:11.8079809Z six==1.16.0 2025-12-04T09:31:11.8079891Z  # via 2025-12-04T09:31:11.8079962Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8080028Z # junit-xml 2025-12-04T09:31:11.8080089Z # lightly 2025-12-04T09:31:11.8080152Z # opencensus 2025-12-04T09:31:11.8080224Z # python-dateutil 2025-12-04T09:31:11.8080291Z # rfc3339-validator 2025-12-04T09:31:11.8080352Z # rouge-score 2025-12-04T09:31:11.8080484Z # segmentation-models-pytorch 2025-12-04T09:31:11.8080549Z smart-open==7.1.0 2025-12-04T09:31:11.8080628Z  # via 2025-12-04T09:31:11.8080706Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8080787Z # ray 2025-12-04T09:31:11.8080858Z smmap==5.0.2 2025-12-04T09:31:11.8080940Z  # via 2025-12-04T09:31:11.8081017Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8081109Z # gitdb 2025-12-04T09:31:11.8081170Z sniffio==1.3.1 2025-12-04T09:31:11.8081260Z  # via 2025-12-04T09:31:11.8081342Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8081400Z # anyio 2025-12-04T09:31:11.8081486Z # httpx 2025-12-04T09:31:11.8081564Z sortedcontainers==2.4.0 2025-12-04T09:31:11.8081642Z  # via 2025-12-04T09:31:11.8081715Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8081813Z # hypothesis 2025-12-04T09:31:11.8081876Z soundfile==0.12.1 2025-12-04T09:31:11.8081957Z  # via 2025-12-04T09:31:11.8082036Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8082105Z # -r requirements/test.in 2025-12-04T09:31:11.8082170Z # librosa 2025-12-04T09:31:11.8082268Z # mistral-common 2025-12-04T09:31:11.8082332Z soxr==0.5.0.post1 2025-12-04T09:31:11.8082416Z  # via 2025-12-04T09:31:11.8082491Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8082550Z # librosa 2025-12-04T09:31:11.8082652Z # mistral-common 2025-12-04T09:31:11.8082715Z sqlalchemy==2.0.41 2025-12-04T09:31:11.8082795Z  # via 2025-12-04T09:31:11.8082981Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8083044Z # alembic 2025-12-04T09:31:11.8083132Z # mlflow 2025-12-04T09:31:11.8083199Z sqlitedict==2.1.0 2025-12-04T09:31:11.8083277Z  # via 2025-12-04T09:31:11.8083349Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8083438Z # lm-eval 2025-12-04T09:31:11.8083500Z sqlparse==0.5.3 2025-12-04T09:31:11.8083583Z  # via 2025-12-04T09:31:11.8083654Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8083750Z # mlflow-skinny 2025-12-04T09:31:11.8083817Z starlette==0.46.2 2025-12-04T09:31:11.8083898Z  # via 2025-12-04T09:31:11.8083970Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8084035Z # fastapi 2025-12-04T09:31:11.8084096Z # schemathesis 2025-12-04T09:31:11.8084203Z # starlette-testclient 2025-12-04T09:31:11.8084285Z starlette-testclient==0.4.1 2025-12-04T09:31:11.8084363Z  # via 2025-12-04T09:31:11.8084437Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8084538Z # schemathesis 2025-12-04T09:31:11.8084603Z statsmodels==0.14.4 2025-12-04T09:31:11.8084692Z  # via 2025-12-04T09:31:11.8084793Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8084903Z # genai-perf 2025-12-04T09:31:11.8084982Z structlog==25.4.0 2025-12-04T09:31:11.8085074Z  # via 2025-12-04T09:31:11.8085159Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8085265Z # gpt-oss 2025-12-04T09:31:11.8085336Z sympy==1.13.3 2025-12-04T09:31:11.8085427Z  # via 2025-12-04T09:31:11.8085520Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8085587Z # einx 2025-12-04T09:31:11.8085685Z # torch 2025-12-04T09:31:11.8085855Z tabledata==1.3.3 2025-12-04T09:31:11.8085959Z  # via 2025-12-04T09:31:11.8086046Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8086171Z # pytablewriter 2025-12-04T09:31:11.8086242Z tabulate==0.9.0 2025-12-04T09:31:11.8086338Z  # via 2025-12-04T09:31:11.8086428Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8086533Z # sacrebleu 2025-12-04T09:31:11.8086609Z tblib==3.1.0 2025-12-04T09:31:11.8086701Z  # via 2025-12-04T09:31:11.8086785Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8086926Z # -r requirements/test.in 2025-12-04T09:31:11.8087005Z tcolorpy==0.1.6 2025-12-04T09:31:11.8087097Z  # via 2025-12-04T09:31:11.8087176Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8087273Z # pytablewriter 2025-12-04T09:31:11.8087335Z tenacity==9.1.2 2025-12-04T09:31:11.8087420Z  # via 2025-12-04T09:31:11.8087490Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8087551Z # gpt-oss 2025-12-04T09:31:11.8087619Z # lm-eval 2025-12-04T09:31:11.8087705Z # plotly 2025-12-04T09:31:11.8087771Z tensorboardx==2.6.4 2025-12-04T09:31:11.8087856Z  # via 2025-12-04T09:31:11.8087927Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8088025Z # lightning 2025-12-04T09:31:11.8088089Z tensorizer==2.10.1 2025-12-04T09:31:11.8088170Z  # via 2025-12-04T09:31:11.8088247Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8088353Z # -r requirements/test.in 2025-12-04T09:31:11.8088416Z termcolor==3.1.0 2025-12-04T09:31:11.8088506Z  # via 2025-12-04T09:31:11.8088579Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8088666Z # gpt-oss 2025-12-04T09:31:11.8088921Z terratorch @ git+https://github.com/IBM/terratorch.git@07184fcf91a1324f831ff521dd238d97fe350e3e 2025-12-04T09:31:11.8089043Z  # via -r requirements/test.in 2025-12-04T09:31:11.8089113Z threadpoolctl==3.5.0 2025-12-04T09:31:11.8089211Z  # via 2025-12-04T09:31:11.8089292Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8089395Z # scikit-learn 2025-12-04T09:31:11.8089458Z tifffile==2025.3.30 2025-12-04T09:31:11.8089538Z  # via 2025-12-04T09:31:11.8089616Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8089759Z # scikit-image 2025-12-04T09:31:11.8089853Z # terratorch 2025-12-04T09:31:11.8089924Z tiktoken==0.12.0 2025-12-04T09:31:11.8090005Z  # via 2025-12-04T09:31:11.8090076Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8090141Z # gpt-oss 2025-12-04T09:31:11.8090201Z # lm-eval 2025-12-04T09:31:11.8090300Z # mistral-common 2025-12-04T09:31:11.8090368Z timm==1.0.17 2025-12-04T09:31:11.8090447Z  # via 2025-12-04T09:31:11.8090519Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8090597Z # -r requirements/test.in 2025-12-04T09:31:11.8090666Z # open-clip-torch 2025-12-04T09:31:11.8090752Z # segmentation-models-pytorch 2025-12-04T09:31:11.8090818Z # terratorch 2025-12-04T09:31:11.8090910Z # torchgeo 2025-12-04T09:31:11.8090979Z tokenizers==0.22.0 2025-12-04T09:31:11.8098174Z  # via 2025-12-04T09:31:11.8098301Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8098393Z # -r requirements/test.in 2025-12-04T09:31:11.8098525Z # transformers 2025-12-04T09:31:11.8098595Z tomli==2.2.1 2025-12-04T09:31:11.8098679Z  # via 2025-12-04T09:31:11.8098757Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8098856Z # schemathesis 2025-12-04T09:31:11.8098919Z tomli-w==1.2.0 2025-12-04T09:31:11.8099005Z  # via 2025-12-04T09:31:11.8099093Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8099190Z # schemathesis 2025-12-04T09:31:11.8099698Z torch @ file:///var/lib/jenkins/workspace/dist/torch-2.10.0a0%2Bgitffd9b0f-cp312-cp312-linux_x86_64.whl#sha256=a0c782d08e3b01a62f42b12b7832d890773e7e8ac303ff47ce3c04911a4563e9 2025-12-04T09:31:11.8099782Z  # via 2025-12-04T09:31:11.8099976Z # -r requirements/test.in 2025-12-04T09:31:11.8100048Z # accelerate 2025-12-04T09:31:11.8100114Z # bitsandbytes 2025-12-04T09:31:11.8100191Z # efficientnet-pytorch 2025-12-04T09:31:11.8100254Z # encodec 2025-12-04T09:31:11.8100324Z # fastsafetensors 2025-12-04T09:31:11.8100383Z # kornia 2025-12-04T09:31:11.8100447Z # lightly 2025-12-04T09:31:11.8100506Z # lightning 2025-12-04T09:31:11.8100569Z # lm-eval 2025-12-04T09:31:11.8100627Z # mteb 2025-12-04T09:31:11.8100695Z # open-clip-torch 2025-12-04T09:31:11.8100759Z # peft 2025-12-04T09:31:11.8100830Z # pretrainedmodels 2025-12-04T09:31:11.8100898Z # pytorch-lightning 2025-12-04T09:31:11.8100976Z # runai-model-streamer 2025-12-04T09:31:11.8101058Z # segmentation-models-pytorch 2025-12-04T09:31:11.8101132Z # sentence-transformers 2025-12-04T09:31:11.8101210Z # tensorizer 2025-12-04T09:31:11.8101271Z # terratorch 2025-12-04T09:31:11.8101374Z # timm 2025-12-04T09:31:11.8101433Z # torchaudio 2025-12-04T09:31:11.8101497Z # torchgeo 2025-12-04T09:31:11.8101559Z # torchmetrics 2025-12-04T09:31:11.8101620Z # torchvision 2025-12-04T09:31:11.8101708Z # vector-quantize-pytorch 2025-12-04T09:31:11.8101798Z # vocos 2025-12-04T09:31:11.8102337Z torchaudio @ file:///var/lib/jenkins/workspace/dist/audio/torchaudio-2.10.0a0%2Be90a398-cp312-cp312-linux_x86_64.whl#sha256=9fd6d716ab57b84fbbf009e8463967c8254f16e45d6b9c9618575442317da3e1 2025-12-04T09:31:11.8102428Z  # via 2025-12-04T09:31:11.8102502Z # -r requirements/test.in 2025-12-04T09:31:11.8102566Z # encodec 2025-12-04T09:31:11.8102650Z # vocos 2025-12-04T09:31:11.8102714Z torchgeo==0.7.0 2025-12-04T09:31:11.8102821Z  # via terratorch 2025-12-04T09:31:11.8102886Z torchmetrics==1.8.2 2025-12-04T09:31:11.8102965Z  # via 2025-12-04T09:31:11.8103029Z # lightning 2025-12-04T09:31:11.8103100Z # pytorch-lightning 2025-12-04T09:31:11.8103177Z # terratorch 2025-12-04T09:31:11.8103274Z # torchgeo 2025-12-04T09:31:11.8103903Z torchvision @ file:///var/lib/jenkins/workspace/dist/vision/torchvision-0.25.0a0%2B617079d-cp312-cp312-linux_x86_64.whl#sha256=fc250b889759c63f19d9bb8fd5404f56b8b0b7c10d6e052aa34730d9dcb2b4a4 2025-12-04T09:31:11.8103999Z  # via 2025-12-04T09:31:11.8104072Z # -r requirements/test.in 2025-12-04T09:31:11.8104130Z # lightly 2025-12-04T09:31:11.8104203Z # open-clip-torch 2025-12-04T09:31:11.8104271Z # pretrainedmodels 2025-12-04T09:31:11.8104352Z # segmentation-models-pytorch 2025-12-04T09:31:11.8104418Z # terratorch 2025-12-04T09:31:11.8104477Z # timm 2025-12-04T09:31:11.8104570Z # torchgeo 2025-12-04T09:31:11.8104637Z tqdm==4.66.6 2025-12-04T09:31:11.8104726Z  # via 2025-12-04T09:31:11.8104804Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8104869Z # datasets 2025-12-04T09:31:11.8104931Z # evaluate 2025-12-04T09:31:11.8104997Z # huggingface-hub 2025-12-04T09:31:11.8105063Z # lightly 2025-12-04T09:31:11.8105129Z # lightning 2025-12-04T09:31:11.8105187Z # lm-eval 2025-12-04T09:31:11.8105252Z # mteb 2025-12-04T09:31:11.8105312Z # nltk 2025-12-04T09:31:11.8105385Z # open-clip-torch 2025-12-04T09:31:11.8105445Z # peft 2025-12-04T09:31:11.8105503Z # pqdm 2025-12-04T09:31:11.8105580Z # pretrainedmodels 2025-12-04T09:31:11.8105652Z # pytorch-lightning 2025-12-04T09:31:11.8105731Z # segmentation-models-pytorch 2025-12-04T09:31:11.8105811Z # sentence-transformers 2025-12-04T09:31:11.8105882Z # tqdm-multiprocess 2025-12-04T09:31:11.8105979Z # transformers 2025-12-04T09:31:11.8106057Z tqdm-multiprocess==0.0.11 2025-12-04T09:31:11.8106136Z  # via 2025-12-04T09:31:11.8106215Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8106313Z # lm-eval 2025-12-04T09:31:11.8106380Z transformers==4.56.2 2025-12-04T09:31:11.8106551Z  # via 2025-12-04T09:31:11.8106638Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8106712Z # -r requirements/test.in 2025-12-04T09:31:11.8106784Z # genai-perf 2025-12-04T09:31:11.8106845Z # lm-eval 2025-12-04T09:31:11.8106910Z # peft 2025-12-04T09:31:11.8106990Z # sentence-transformers 2025-12-04T09:31:11.8107123Z # transformers-stream-generator 2025-12-04T09:31:11.8107211Z transformers-stream-generator==0.0.5 2025-12-04T09:31:11.8107301Z  # via 2025-12-04T09:31:11.8107376Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8107479Z # -r requirements/test.in 2025-12-04T09:31:11.8107554Z tritonclient==2.51.0 2025-12-04T09:31:11.8107635Z  # via 2025-12-04T09:31:11.8107708Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8107786Z # -r requirements/test.in 2025-12-04T09:31:11.8107879Z # genai-perf 2025-12-04T09:31:11.8107949Z typepy==1.3.2 2025-12-04T09:31:11.8108032Z  # via 2025-12-04T09:31:11.8108105Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8108175Z # dataproperty 2025-12-04T09:31:11.8108240Z # pytablewriter 2025-12-04T09:31:11.8108330Z # tabledata 2025-12-04T09:31:11.8108399Z typer==0.15.2 2025-12-04T09:31:11.8108478Z  # via 2025-12-04T09:31:11.8108550Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8108658Z # fastsafetensors 2025-12-04T09:31:11.8108744Z types-python-dateutil==2.9.0.20241206 2025-12-04T09:31:11.8108823Z  # via 2025-12-04T09:31:11.8108909Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8108993Z # arrow 2025-12-04T09:31:11.8109061Z typeshed-client==2.8.2 2025-12-04T09:31:11.8109148Z  # via 2025-12-04T09:31:11.8109221Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8109317Z # jsonargparse 2025-12-04T09:31:11.8109394Z typing-extensions==4.15.0 2025-12-04T09:31:11.8109475Z  # via 2025-12-04T09:31:11.8109546Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8109624Z # aiosignal 2025-12-04T09:31:11.8109691Z # albumentations 2025-12-04T09:31:11.8109750Z # alembic 2025-12-04T09:31:11.8109812Z # chz 2025-12-04T09:31:11.8109871Z # fastapi 2025-12-04T09:31:11.8110012Z # graphene 2025-12-04T09:31:11.8110082Z # huggingface-hub 2025-12-04T09:31:11.8110141Z # librosa 2025-12-04T09:31:11.8110205Z # lightning 2025-12-04T09:31:11.8110277Z # lightning-utilities 2025-12-04T09:31:11.8110343Z # mistral-common 2025-12-04T09:31:11.8110416Z # mlflow-skinny 2025-12-04T09:31:11.8110476Z # mteb 2025-12-04T09:31:11.8110545Z # opentelemetry-api 2025-12-04T09:31:11.8110619Z # opentelemetry-sdk 2025-12-04T09:31:11.8110712Z # opentelemetry-semantic-conventions 2025-12-04T09:31:11.8110771Z # pqdm 2025-12-04T09:31:11.8110837Z # pydantic 2025-12-04T09:31:11.8110900Z # pydantic-core 2025-12-04T09:31:11.8110974Z # pydantic-extra-types 2025-12-04T09:31:11.8111052Z # pytorch-lightning 2025-12-04T09:31:11.8111116Z # sqlalchemy 2025-12-04T09:31:11.8111178Z # torch 2025-12-04T09:31:11.8111237Z # torchgeo 2025-12-04T09:31:11.8111306Z # typer 2025-12-04T09:31:11.8111382Z # typeshed-client 2025-12-04T09:31:11.8111493Z # typing-inspection 2025-12-04T09:31:11.8111566Z typing-inspection==0.4.2 2025-12-04T09:31:11.8111653Z  # via 2025-12-04T09:31:11.8111729Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8111821Z # pydantic 2025-12-04T09:31:11.8111886Z tzdata==2024.2 2025-12-04T09:31:11.8111968Z  # via 2025-12-04T09:31:11.8112040Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8112133Z # pandas 2025-12-04T09:31:11.8112199Z uri-template==1.3.0 2025-12-04T09:31:11.8112279Z  # via 2025-12-04T09:31:11.8112358Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8112448Z # jsonschema 2025-12-04T09:31:11.8112512Z urllib3==2.2.3 2025-12-04T09:31:11.8112674Z  # via 2025-12-04T09:31:11.8112746Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8112810Z # blobfile 2025-12-04T09:31:11.8112868Z # botocore 2025-12-04T09:31:11.8112925Z # docker 2025-12-04T09:31:11.8113000Z # lightly 2025-12-04T09:31:11.8113060Z # requests 2025-12-04T09:31:11.8113122Z # responses 2025-12-04T09:31:11.8113227Z # tritonclient 2025-12-04T09:31:11.8113472Z uvicorn==0.35.0 2025-12-04T09:31:11.8113557Z  # via 2025-12-04T09:31:11.8113638Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8113698Z # gpt-oss 2025-12-04T09:31:11.8113796Z # mlflow-skinny 2025-12-04T09:31:11.8113882Z vector-quantize-pytorch==1.27.7 2025-12-04T09:31:11.8114004Z  # via -r requirements/test.in 2025-12-04T09:31:11.8114074Z virtualenv==20.31.2 2025-12-04T09:31:11.8114155Z  # via 2025-12-04T09:31:11.8114228Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8114314Z # ray 2025-12-04T09:31:11.8114377Z vocos==0.1.0 2025-12-04T09:31:11.8114456Z  # via 2025-12-04T09:31:11.8114532Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8114639Z # -r requirements/test.in 2025-12-04T09:31:11.8114700Z wcwidth==0.2.13 2025-12-04T09:31:11.8114787Z  # via 2025-12-04T09:31:11.8114860Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8114944Z # ftfy 2025-12-04T09:31:11.8115020Z webcolors==24.11.1 2025-12-04T09:31:11.8115099Z  # via 2025-12-04T09:31:11.8115171Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8115266Z # jsonschema 2025-12-04T09:31:11.8115328Z werkzeug==3.1.3 2025-12-04T09:31:11.8115413Z  # via 2025-12-04T09:31:11.8115485Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8115543Z # flask 2025-12-04T09:31:11.8115643Z # schemathesis 2025-12-04T09:31:11.8115709Z word2number==1.1 2025-12-04T09:31:11.8115788Z  # via 2025-12-04T09:31:11.8115870Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8115961Z # lm-eval 2025-12-04T09:31:11.8116024Z wrapt==1.17.2 2025-12-04T09:31:11.8116109Z  # via 2025-12-04T09:31:11.8116182Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8116274Z # smart-open 2025-12-04T09:31:11.8116521Z xarray==2025.7.1 2025-12-04T09:31:11.8116614Z  # via 2025-12-04T09:31:11.8116691Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8116791Z # rioxarray 2025-12-04T09:31:11.8116855Z xxhash==3.5.0 2025-12-04T09:31:11.8116942Z  # via 2025-12-04T09:31:11.8117015Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8117073Z # datasets 2025-12-04T09:31:11.8117168Z # evaluate 2025-12-04T09:31:11.8117228Z yarl==1.17.1 2025-12-04T09:31:11.8117306Z  # via 2025-12-04T09:31:11.8117384Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8117442Z # aiohttp 2025-12-04T09:31:11.8117537Z # schemathesis 2025-12-04T09:31:11.8117604Z zipp==3.23.0 2025-12-04T09:31:11.8117686Z  # via 2025-12-04T09:31:11.8117759Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8117871Z # importlib-metadata 2025-12-04T09:31:11.8117935Z zstandard==0.23.0 2025-12-04T09:31:11.8118016Z  # via 2025-12-04T09:31:11.8118095Z # -c snapshot_constraint.txt 2025-12-04T09:31:11.8118184Z # lm-eval 2025-12-04T09:31:11.9375913Z 2025-12-04 09:31:11,936 [INFO] cli.lib.common.pip_helper: pip installing packages: /opt/conda/envs/py_3.12/bin/python -m uv pip install -r test.txt 2025-12-04T09:31:11.9376984Z 2025-12-04 09:31:11,937 [INFO] cli.lib.common.utils: [cmd] /opt/conda/envs/py_3.12/bin/python -m uv pip install -r test.txt 2025-12-04T09:31:11.9714470Z Using Python 3.12.5 environment at: /opt/conda/envs/py_3.12 2025-12-04T09:31:12.1497791Z Resolved 329 packages in 171ms 2025-12-04T09:31:12.1721039Z Updating https://github.com/EleutherAI/lm-evaluation-harness.git (206b7722158f58c35b7ffcd53b035fdbdda5126d) 2025-12-04T09:31:12.3823391Z Building terratorch @ git+https://github.com/IBM/terratorch.git@07184fcf91a1324f831ff521dd238d97fe350e3e 2025-12-04T09:31:12.4073385Z Downloading numpy (17.1MiB) 2025-12-04T09:31:12.4074614Z Downloading grpcio (5.6MiB) 2025-12-04T09:31:12.4482317Z Downloading virtualenv (5.8MiB) 2025-12-04T09:31:12.4485018Z Downloading transformers (11.1MiB) 2025-12-04T09:31:12.4652502Z Downloading shapely (3.0MiB) 2025-12-04T09:31:12.4654519Z Downloading sqlalchemy (3.2MiB) 2025-12-04T09:31:12.4656623Z Downloading pandas (12.1MiB) 2025-12-04T09:31:12.4658494Z Downloading zstandard (5.2MiB) 2025-12-04T09:31:12.4661525Z Downloading opencv-python-headless (47.7MiB) 2025-12-04T09:31:12.4663146Z Downloading decord (13.0MiB) 2025-12-04T09:31:12.4665485Z Downloading pycryptodomex (2.2MiB) 2025-12-04T09:31:12.4666831Z Downloading py-spy (2.6MiB) 2025-12-04T09:31:12.4670098Z Downloading hf-xet (3.0MiB) 2025-12-04T09:31:12.4673512Z Downloading pillow (4.3MiB) 2025-12-04T09:31:12.4675826Z Downloading tritonclient (13.3MiB) 2025-12-04T09:31:12.4677738Z Downloading pydantic-core (2.0MiB) 2025-12-04T09:31:12.4680487Z Downloading python-rapidjson (1.6MiB) 2025-12-04T09:31:12.4681996Z Downloading black (1.7MiB) 2025-12-04T09:31:12.4684283Z Downloading botocore (12.1MiB) 2025-12-04T09:31:12.4686216Z Downloading rapidfuzz (3.0MiB) 2025-12-04T09:31:12.4688754Z Downloading runai-model-streamer-s3 (5.6MiB) 2025-12-04T09:31:12.4690796Z Downloading scipy (36.4MiB) 2025-12-04T09:31:12.4693057Z Downloading rasterio (21.2MiB) 2025-12-04T09:31:12.4695761Z Downloading openai-harmony (2.9MiB) 2025-12-04T09:31:12.4698125Z Downloading pyogrio (26.4MiB) 2025-12-04T09:31:12.4700837Z Downloading tokenizers (3.2MiB) 2025-12-04T09:31:12.4703673Z Downloading kaleido (76.2MiB) 2025-12-04T09:31:12.4705694Z Downloading kornia-rs (2.6MiB) 2025-12-04T09:31:12.4707793Z Downloading timm (2.4MiB) 2025-12-04T09:31:12.4710045Z Downloading h5py (4.7MiB) 2025-12-04T09:31:12.4712531Z Downloading mistral-common (6.2MiB) 2025-12-04T09:31:12.4715196Z Downloading mlflow-skinny (6.0MiB) 2025-12-04T09:31:12.4717611Z Downloading matplotlib (7.9MiB) 2025-12-04T09:31:12.4720567Z Downloading pyarrow (38.2MiB) 2025-12-04T09:31:12.4722785Z Downloading mlflow (27.7MiB) 2025-12-04T09:31:12.4725030Z Downloading python-box (4.1MiB) 2025-12-04T09:31:12.4727633Z Downloading fiona (16.4MiB) 2025-12-04T09:31:12.4730095Z Downloading cramjam (2.2MiB) 2025-12-04T09:31:12.4732351Z Downloading scikit-learn (12.3MiB) 2025-12-04T09:31:12.4734787Z Downloading polars (33.2MiB) 2025-12-04T09:31:12.4737562Z Downloading ray (66.9MiB) 2025-12-04T09:31:12.4739853Z Downloading fonttools (4.7MiB) 2025-12-04T09:31:12.4742861Z Downloading fastparquet (1.7MiB) 2025-12-04T09:31:12.4745342Z Downloading plotly (18.2MiB) 2025-12-04T09:31:12.4747843Z Downloading aiohttp (1.7MiB) 2025-12-04T09:31:12.4750459Z Downloading runai-model-streamer-gcs (4.2MiB) 2025-12-04T09:31:12.4753673Z Downloading scikit-image (14.3MiB) 2025-12-04T09:31:12.4755477Z Downloading bitsandbytes (69.5MiB) 2025-12-04T09:31:12.4758020Z Downloading statsmodels (10.2MiB) 2025-12-04T09:31:12.4761274Z Downloading pyproj (9.1MiB) 2025-12-04T09:31:13.2237022Z Downloading python-rapidjson 2025-12-04T09:31:13.2373393Z Downloading networkx (1.6MiB) 2025-12-04T09:31:13.2447173Z Downloading fastparquet 2025-12-04T09:31:13.2652599Z Downloading mteb (1.5MiB) 2025-12-04T09:31:13.2835434Z Downloading aiohttp 2025-12-04T09:31:13.3057715Z Downloading open-clip-torch (1.5MiB) 2025-12-04T09:31:13.3674311Z Downloading black 2025-12-04T09:31:13.3735809Z Downloading pydantic-core 2025-12-04T09:31:13.3855523Z Downloading nltk (1.4MiB) 2025-12-04T09:31:13.3915979Z Downloading kiwisolver (1.4MiB) 2025-12-04T09:31:13.4740292Z Built terratorch @ git+https://github.com/IBM/terratorch.git@07184fcf91a1324f831ff521dd238d97fe350e3e 2025-12-04T09:31:13.4911587Z Downloading cramjam 2025-12-04T09:31:13.5080391Z Downloading fastsafetensors (1.4MiB) 2025-12-04T09:31:13.5524169Z Downloading pycryptodomex 2025-12-04T09:31:13.5647188Z Downloading xarray (1.3MiB) 2025-12-04T09:31:13.6596914Z Downloading kornia-rs 2025-12-04T09:31:13.6743150Z Downloading py-spy 2025-12-04T09:31:13.6787781Z Downloading setuptools (1.2MiB) 2025-12-04T09:31:13.6921753Z Downloading pygments (1.1MiB) 2025-12-04T09:31:13.7340015Z Downloading timm 2025-12-04T09:31:13.7475067Z Downloading soundfile (1.1MiB) 2025-12-04T09:31:13.8122788Z Downloading openai-harmony 2025-12-04T09:31:13.8296289Z Downloading kornia (1.0MiB) 2025-12-04T09:31:13.8887636Z Downloading rapidfuzz 2025-12-04T09:31:13.8934391Z Downloading hf-xet 2025-12-04T09:31:13.9147312Z Downloading shapely 2025-12-04T09:31:13.9247649Z Downloading sqlalchemy 2025-12-04T09:31:13.9553228Z Downloading tokenizers 2025-12-04T09:31:14.0754687Z Downloading kiwisolver 2025-12-04T09:31:14.1670238Z Downloading fastsafetensors 2025-12-04T09:31:14.1756152Z Downloading xarray 2025-12-04T09:31:14.2019051Z Downloading open-clip-torch 2025-12-04T09:31:14.2274634Z Downloading nltk 2025-12-04T09:31:14.3186073Z Downloading soundfile 2025-12-04T09:31:14.3270711Z Downloading pygments 2025-12-04T09:31:14.3378722Z Downloading networkx 2025-12-04T09:31:14.3987208Z Downloading python-box 2025-12-04T09:31:14.5168473Z Downloading runai-model-streamer-gcs 2025-12-04T09:31:14.5573954Z Downloading pillow 2025-12-04T09:31:14.6257961Z Downloading setuptools 2025-12-04T09:31:14.6691371Z Downloading fonttools 2025-12-04T09:31:14.6844845Z Updated https://github.com/EleutherAI/lm-evaluation-harness.git (206b7722158f58c35b7ffcd53b035fdbdda5126d) 2025-12-04T09:31:14.6869695Z Building lm-eval @ git+https://github.com/EleutherAI/lm-evaluation-harness.git@206b7722158f58c35b7ffcd53b035fdbdda5126d 2025-12-04T09:31:14.7221067Z Downloading kornia 2025-12-04T09:31:14.7910965Z Downloading h5py 2025-12-04T09:31:14.9954109Z Downloading zstandard 2025-12-04T09:31:15.1718665Z Downloading mteb 2025-12-04T09:31:15.2073032Z Downloading grpcio 2025-12-04T09:31:15.2275862Z Downloading runai-model-streamer-s3 2025-12-04T09:31:15.3003106Z Downloading virtualenv 2025-12-04T09:31:15.5102122Z Downloading mistral-common 2025-12-04T09:31:15.8374540Z Building antlr4-python3-runtime==4.9.3 2025-12-04T09:31:15.8405316Z Building encodec==0.1.1 2025-12-04T09:31:15.8424913Z Building docopt==0.6.2 2025-12-04T09:31:15.8426571Z Building pretrainedmodels==0.7.4 2025-12-04T09:31:15.8429227Z Building sqlitedict==2.1.0 2025-12-04T09:31:15.8430275Z Building efficientnet-pytorch==0.7.1 2025-12-04T09:31:15.8432914Z Building rouge-score==0.1.2 2025-12-04T09:31:15.8470600Z Building transformers-stream-generator==0.0.5 2025-12-04T09:31:15.8569128Z Building word2number==1.1 2025-12-04T09:31:15.9707079Z Downloading mlflow-skinny 2025-12-04T09:31:16.1138344Z Downloading matplotlib 2025-12-04T09:31:16.7861449Z Downloading pyproj 2025-12-04T09:31:16.8210865Z Built efficientnet-pytorch==0.7.1 2025-12-04T09:31:16.8251115Z Built transformers-stream-generator==0.0.5 2025-12-04T09:31:16.8306300Z Built word2number==1.1 2025-12-04T09:31:16.8340967Z Built rouge-score==0.1.2 2025-12-04T09:31:16.8863160Z Built sqlitedict==2.1.0 2025-12-04T09:31:16.8957760Z Built encodec==0.1.1 2025-12-04T09:31:16.9009361Z Built pretrainedmodels==0.7.4 2025-12-04T09:31:17.0361516Z Built docopt==0.6.2 2025-12-04T09:31:17.0752875Z Built antlr4-python3-runtime==4.9.3 2025-12-04T09:31:17.1115766Z Downloading statsmodels 2025-12-04T09:31:17.3594799Z Downloading pandas 2025-12-04T09:31:17.4720182Z Downloading decord 2025-12-04T09:31:17.4923038Z Downloading scikit-learn 2025-12-04T09:31:17.5491981Z Downloading tritonclient 2025-12-04T09:31:17.6179942Z Downloading botocore 2025-12-04T09:31:17.6366093Z Downloading transformers 2025-12-04T09:31:17.7024217Z Downloading scikit-image 2025-12-04T09:31:17.8287184Z Downloading fiona 2025-12-04T09:31:17.8672796Z Downloading numpy 2025-12-04T09:31:18.1673748Z Downloading rasterio 2025-12-04T09:31:18.4546289Z Downloading pyogrio 2025-12-04T09:31:18.7926590Z Downloading polars 2025-12-04T09:31:18.9076834Z Downloading mlflow 2025-12-04T09:31:19.7324421Z Downloading opencv-python-headless 2025-12-04T09:31:19.7638195Z Downloading scipy 2025-12-04T09:31:19.8210879Z Downloading pyarrow 2025-12-04T09:31:20.0258141Z Downloading bitsandbytes 2025-12-04T09:31:20.0523407Z Downloading kaleido 2025-12-04T09:31:20.1628188Z Downloading ray 2025-12-04T09:31:22.5077158Z Downloading plotly 2025-12-04T09:31:30.2161626Z Built lm-eval @ git+https://github.com/EleutherAI/lm-evaluation-harness.git@206b7722158f58c35b7ffcd53b035fdbdda5126d 2025-12-04T09:31:30.4604501Z Prepared 295 packages in 18.29s 2025-12-04T09:31:34.3224249Z Uninstalled 99 packages in 3.86s 2025-12-04T09:31:35.2338592Z Installed 295 packages in 911ms 2025-12-04T09:31:35.2342100Z - absl-py==2.3.1 2025-12-04T09:31:35.2342824Z + absl-py==2.1.0 2025-12-04T09:31:35.2343414Z + accelerate==1.0.1 2025-12-04T09:31:35.2343855Z + aenum==3.1.16 2025-12-04T09:31:35.2344875Z + affine==2.4.0 2025-12-04T09:31:35.2345598Z - aiohttp==3.13.2 2025-12-04T09:31:35.2346964Z + aiohttp==3.13.0 2025-12-04T09:31:35.2347540Z + aiohttp-cors==0.8.1 2025-12-04T09:31:35.2348053Z + albucore==0.0.16 2025-12-04T09:31:35.2349056Z + albumentations==1.4.6 2025-12-04T09:31:35.2349846Z + alembic==1.16.4 2025-12-04T09:31:35.2350687Z + antlr4-python3-runtime==4.9.3 2025-12-04T09:31:35.2351651Z - anyio==4.12.0 2025-12-04T09:31:35.2352257Z + anyio==4.6.2.post1 2025-12-04T09:31:35.2352819Z + argcomplete==3.5.1 2025-12-04T09:31:35.2353458Z + arrow==1.3.0 2025-12-04T09:31:35.2354316Z - attrs==25.4.0 2025-12-04T09:31:35.2354923Z + attrs==24.2.0 2025-12-04T09:31:35.2356155Z - audioread==3.1.0 2025-12-04T09:31:35.2356462Z + audioread==3.0.1 2025-12-04T09:31:35.2357053Z + backoff==2.2.1 2025-12-04T09:31:35.2358029Z + bitsandbytes==0.46.1 2025-12-04T09:31:35.2358553Z + black==24.10.0 2025-12-04T09:31:35.2359523Z + blinker==1.9.0 2025-12-04T09:31:35.2360308Z + blobfile==3.0.0 2025-12-04T09:31:35.2361126Z + bm25s==0.2.13 2025-12-04T09:31:35.2361967Z - boto3==1.35.42 2025-12-04T09:31:35.2362525Z + boto3==1.35.57 2025-12-04T09:31:35.2363162Z - botocore==1.35.99 2025-12-04T09:31:35.2364275Z + botocore==1.35.57 2025-12-04T09:31:35.2365258Z + bounded-pool-executor==0.0.3 2025-12-04T09:31:35.2366052Z + buildkite-test-collector==0.1.9 2025-12-04T09:31:35.2366598Z - cachetools==6.2.2 2025-12-04T09:31:35.2367463Z + cachetools==5.5.2 2025-12-04T09:31:35.2369229Z - certifi==2025.11.12 2025-12-04T09:31:35.2369741Z + certifi==2024.8.30 2025-12-04T09:31:35.2370759Z - cffi==2.0.0 2025-12-04T09:31:35.2371408Z + cffi==1.17.1 2025-12-04T09:31:35.2372138Z + chardet==5.2.0 2025-12-04T09:31:35.2373079Z - charset-normalizer==3.4.4 2025-12-04T09:31:35.2373909Z + charset-normalizer==3.4.0 2025-12-04T09:31:35.2374428Z + chz==0.3.0 2025-12-04T09:31:35.2375778Z - click==8.2.1 2025-12-04T09:31:35.2376432Z + click==8.1.7 2025-12-04T09:31:35.2377460Z + click-plugins==1.1.1.2 2025-12-04T09:31:35.2378389Z + cligj==0.7.2 2025-12-04T09:31:35.2378899Z - cloudpickle==3.1.2 2025-12-04T09:31:35.2379647Z + cloudpickle==3.1.1 2025-12-04T09:31:35.2380990Z + colorful==0.5.6 2025-12-04T09:31:35.2381362Z + contourpy==1.3.0 2025-12-04T09:31:35.2382881Z + coverage==7.10.6 2025-12-04T09:31:35.2383558Z + cramjam==2.9.0 2025-12-04T09:31:35.2384548Z + cycler==0.12.1 2025-12-04T09:31:35.2385152Z + databricks-sdk==0.59.0 2025-12-04T09:31:35.2386284Z + datamodel-code-generator==0.26.3 2025-12-04T09:31:35.2386831Z + dataproperty==1.0.1 2025-12-04T09:31:35.2387682Z + datasets==3.0.2 2025-12-04T09:31:35.2388866Z - decorator==5.2.1 2025-12-04T09:31:35.2389687Z + decorator==5.1.1 2025-12-04T09:31:35.2390243Z + decord==0.6.0 2025-12-04T09:31:35.2391231Z - dill==0.3.7 2025-12-04T09:31:35.2391869Z + dill==0.3.8 2025-12-04T09:31:35.2392663Z + distlib==0.3.9 2025-12-04T09:31:35.2393337Z - dnspython==2.8.0 2025-12-04T09:31:35.2394021Z + dnspython==2.7.0 2025-12-04T09:31:35.2395180Z + docopt==0.6.2 2025-12-04T09:31:35.2396238Z + docstring-parser==0.17.0 2025-12-04T09:31:35.2397266Z + efficientnet-pytorch==0.7.1 2025-12-04T09:31:35.2397748Z + einx==0.3.0 2025-12-04T09:31:35.2398736Z - email-validator==2.3.0 2025-12-04T09:31:35.2399394Z + email-validator==2.2.0 2025-12-04T09:31:35.2400736Z + encodec==0.1.1 2025-12-04T09:31:35.2401337Z + 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jsonschema==4.25.1 2025-12-04T09:31:35.2464032Z + jsonschema==4.23.0 2025-12-04T09:31:35.2465099Z - jsonschema-specifications==2025.9.1 2025-12-04T09:31:35.2465556Z + jsonschema-specifications==2024.10.1 2025-12-04T09:31:35.2466225Z + junit-xml==1.9 2025-12-04T09:31:35.2467372Z + kaleido==0.2.1 2025-12-04T09:31:35.2467883Z + kiwisolver==1.4.7 2025-12-04T09:31:35.2468630Z + kornia==0.8.1 2025-12-04T09:31:35.2469789Z + kornia-rs==0.1.9 2025-12-04T09:31:35.2470372Z + libnacl==2.1.0 2025-12-04T09:31:35.2471010Z - librosa==0.10.2 2025-12-04T09:31:35.2472300Z + librosa==0.10.2.post1 2025-12-04T09:31:35.2472694Z + lightly==1.5.20 2025-12-04T09:31:35.2473548Z + lightly-utils==0.0.2 2025-12-04T09:31:35.2475032Z + lightning==2.5.1.post0 2025-12-04T09:31:35.2475457Z + lightning-utilities==0.14.3 2025-12-04T09:31:35.2476836Z + lm-eval==0.4.9.1 (from git+https://github.com/EleutherAI/lm-evaluation-harness.git@206b7722158f58c35b7ffcd53b035fdbdda5126d) 2025-12-04T09:31:35.2477395Z + mako==1.3.10 2025-12-04T09:31:35.2477669Z - markdown==3.10 2025-12-04T09:31:35.2478483Z + markdown==3.8.2 2025-12-04T09:31:35.2479485Z - markdown-it-py==4.0.0 2025-12-04T09:31:35.2480042Z + markdown-it-py==3.0.0 2025-12-04T09:31:35.2481382Z - markupsafe==3.0.3 2025-12-04T09:31:35.2481762Z + markupsafe==3.0.1 2025-12-04T09:31:35.2482210Z + matplotlib==3.9.2 2025-12-04T09:31:35.2483539Z + mbstrdecoder==1.1.3 2025-12-04T09:31:35.2483999Z - mistral-common==1.8.6 2025-12-04T09:31:35.2484709Z + mistral-common==1.8.5 2025-12-04T09:31:35.2485688Z + mlflow==2.22.0 2025-12-04T09:31:35.2486361Z + mlflow-skinny==2.22.0 2025-12-04T09:31:35.2487342Z + more-itertools==10.5.0 2025-12-04T09:31:35.2487866Z - msgpack==1.1.2 2025-12-04T09:31:35.2488515Z + msgpack==1.1.0 2025-12-04T09:31:35.2489275Z + mteb==1.38.11 2025-12-04T09:31:35.2490203Z - multidict==6.7.0 2025-12-04T09:31:35.2491036Z + multidict==6.1.0 2025-12-04T09:31:35.2491550Z + multiprocess==0.70.16 2025-12-04T09:31:35.2492361Z + munch==4.0.0 2025-12-04T09:31:35.2493128Z - mypy-extensions==1.1.0 2025-12-04T09:31:35.2493778Z + mypy-extensions==1.0.0 2025-12-04T09:31:35.2494444Z - networkx==2.8.8 2025-12-04T09:31:35.2495193Z + networkx==3.2.1 2025-12-04T09:31:35.2496246Z + nltk==3.9.1 2025-12-04T09:31:35.2496879Z + num2words==0.5.14 2025-12-04T09:31:35.2497623Z + numexpr==2.10.1 2025-12-04T09:31:35.2498211Z - numpy==2.2.6 2025-12-04T09:31:35.2499364Z + numpy==1.26.4 2025-12-04T09:31:35.2499936Z + omegaconf==2.3.0 2025-12-04T09:31:35.2500361Z + open-clip-torch==2.32.0 2025-12-04T09:31:35.2501725Z - openai-harmony==0.0.8 2025-12-04T09:31:35.2502151Z + openai-harmony==0.0.4 2025-12-04T09:31:35.2502964Z + opencensus==0.11.4 2025-12-04T09:31:35.2503765Z + opencensus-context==0.1.3 2025-12-04T09:31:35.2504313Z - opencv-python-headless==4.12.0.88 2025-12-04T09:31:35.2504978Z + opencv-python-headless==4.11.0.86 2025-12-04T09:31:35.2506016Z + opentelemetry-api==1.35.0 2025-12-04T09:31:35.2506521Z + 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2025-12-04T09:31:35.2568966Z + requests==2.32.3 2025-12-04T09:31:35.2569727Z + responses==0.25.3 2025-12-04T09:31:35.2570167Z + rfc3339-validator==0.1.4 2025-12-04T09:31:35.2571378Z + rfc3987==1.3.8 2025-12-04T09:31:35.2571954Z - rich==14.2.0 2025-12-04T09:31:35.2572647Z + rich==13.9.4 2025-12-04T09:31:35.2573451Z + rioxarray==0.19.0 2025-12-04T09:31:35.2574241Z + rouge-score==0.1.2 2025-12-04T09:31:35.2575029Z - rpds-py==0.30.0 2025-12-04T09:31:35.2575731Z + rpds-py==0.20.1 2025-12-04T09:31:35.2576215Z + rtree==1.4.0 2025-12-04T09:31:35.2577124Z + runai-model-streamer==0.14.0 2025-12-04T09:31:35.2578132Z + runai-model-streamer-gcs==0.14.0 2025-12-04T09:31:35.2578761Z + runai-model-streamer-s3==0.14.0 2025-12-04T09:31:35.2579515Z - s3transfer==0.10.4 2025-12-04T09:31:35.2580167Z + s3transfer==0.10.3 2025-12-04T09:31:35.2581190Z + sacrebleu==2.4.3 2025-12-04T09:31:35.2581877Z - safetensors==0.7.0 2025-12-04T09:31:35.2582858Z + safetensors==0.4.5 2025-12-04T09:31:35.2583290Z + schemathesis==3.39.15 2025-12-04T09:31:35.2584063Z - scikit-image==0.22.0 2025-12-04T09:31:35.2584607Z + scikit-image==0.25.2 2025-12-04T09:31:35.2585476Z - scikit-learn==1.7.2 2025-12-04T09:31:35.2586142Z + scikit-learn==1.5.2 2025-12-04T09:31:35.2586944Z - scipy==1.14.1 2025-12-04T09:31:35.2587781Z + scipy==1.13.1 2025-12-04T09:31:35.2588564Z + segmentation-models-pytorch==0.4.0 2025-12-04T09:31:35.2589464Z + sentence-transformers==3.2.1 2025-12-04T09:31:35.2590036Z - setuptools==78.1.1 2025-12-04T09:31:35.2591230Z + setuptools==77.0.3 2025-12-04T09:31:35.2591714Z + shapely==2.1.1 2025-12-04T09:31:35.2594198Z - six==1.17.0 2025-12-04T09:31:35.2594623Z + six==1.16.0 2025-12-04T09:31:35.2595061Z + smart-open==7.1.0 2025-12-04T09:31:35.2595481Z - soundfile==0.13.1 2025-12-04T09:31:35.2595964Z + soundfile==0.12.1 2025-12-04T09:31:35.2596365Z - soxr==1.0.0 2025-12-04T09:31:35.2597102Z + soxr==0.5.0.post1 2025-12-04T09:31:35.2597935Z + sqlalchemy==2.0.41 2025-12-04T09:31:35.2599205Z + sqlitedict==2.1.0 2025-12-04T09:31:35.2599508Z + sqlparse==0.5.3 2025-12-04T09:31:35.2600269Z - starlette==0.50.0 2025-12-04T09:31:35.2600696Z + starlette==0.46.2 2025-12-04T09:31:35.2601952Z + starlette-testclient==0.4.1 2025-12-04T09:31:35.2602909Z + statsmodels==0.14.4 2025-12-04T09:31:35.2603512Z + structlog==25.4.0 2025-12-04T09:31:35.2604494Z + tabledata==1.3.3 2025-12-04T09:31:35.2605547Z + tblib==3.1.0 2025-12-04T09:31:35.2605980Z + tcolorpy==0.1.6 2025-12-04T09:31:35.2606603Z + tenacity==9.1.2 2025-12-04T09:31:35.2607466Z + tensorboardx==2.6.4 2025-12-04T09:31:35.2608032Z + tensorizer==2.10.1 2025-12-04T09:31:35.2609010Z + termcolor==3.1.0 2025-12-04T09:31:35.2610133Z + terratorch==1.0.2 (from git+https://github.com/IBM/terratorch.git@07184fcf91a1324f831ff521dd238d97fe350e3e) 2025-12-04T09:31:35.2610679Z - threadpoolctl==3.6.0 2025-12-04T09:31:35.2611316Z + threadpoolctl==3.5.0 2025-12-04T09:31:35.2611985Z - tifffile==2025.10.16 2025-12-04T09:31:35.2612654Z + tifffile==2025.3.30 2025-12-04T09:31:35.2613734Z + timm==1.0.17 2025-12-04T09:31:35.2614363Z - tokenizers==0.22.1 2025-12-04T09:31:35.2615056Z + tokenizers==0.22.0 2025-12-04T09:31:35.2616015Z + tomli==2.2.1 2025-12-04T09:31:35.2616536Z + tomli-w==1.2.0 2025-12-04T09:31:35.2618031Z - torch==2.10.0a0+gitffd9b0f (from file:///var/lib/jenkins/workspace/dist/torch-2.10.0a0%2Bgitffd9b0f-cp312-cp312-linux_x86_64.whl) 2025-12-04T09:31:35.2619257Z + torch==2.10.0a0+gitffd9b0f (from file:///var/lib/jenkins/workspace/dist/torch-2.10.0a0+gitffd9b0f-cp312-cp312-linux_x86_64.whl#sha256=a0c782d08e3b01a62f42b12b7832d890773e7e8ac303ff47ce3c04911a4563e9) 2025-12-04T09:31:35.2620464Z - torchaudio==2.10.0a0+e90a398 (from file:///var/lib/jenkins/workspace/dist/audio/torchaudio-2.10.0a0%2Be90a398-cp312-cp312-linux_x86_64.whl) 2025-12-04T09:31:35.2621847Z + torchaudio==2.10.0a0+e90a398 (from file:///var/lib/jenkins/workspace/dist/audio/torchaudio-2.10.0a0+e90a398-cp312-cp312-linux_x86_64.whl#sha256=9fd6d716ab57b84fbbf009e8463967c8254f16e45d6b9c9618575442317da3e1) 2025-12-04T09:31:35.2622666Z + torchgeo==0.7.0 2025-12-04T09:31:35.2622942Z + torchmetrics==1.8.2 2025-12-04T09:31:35.2623874Z - torchvision==0.25.0a0+617079d (from file:///var/lib/jenkins/workspace/dist/vision/torchvision-0.25.0a0%2B617079d-cp312-cp312-linux_x86_64.whl) 2025-12-04T09:31:35.2625303Z + torchvision==0.25.0a0+617079d (from file:///var/lib/jenkins/workspace/dist/vision/torchvision-0.25.0a0+617079d-cp312-cp312-linux_x86_64.whl#sha256=fc250b889759c63f19d9bb8fd5404f56b8b0b7c10d6e052aa34730d9dcb2b4a4) 2025-12-04T09:31:35.2626123Z - tqdm==4.67.1 2025-12-04T09:31:35.2626547Z + tqdm==4.66.6 2025-12-04T09:31:35.2627041Z + tqdm-multiprocess==0.0.11 2025-12-04T09:31:35.2627950Z - transformers==4.57.3 2025-12-04T09:31:35.2628477Z + transformers==4.56.2 2025-12-04T09:31:35.2629255Z + transformers-stream-generator==0.0.5 2025-12-04T09:31:35.2630311Z + tritonclient==2.51.0 2025-12-04T09:31:35.2630960Z + typepy==1.3.2 2025-12-04T09:31:35.2631626Z - typer==0.20.0 2025-12-04T09:31:35.2632638Z + typer==0.15.2 2025-12-04T09:31:35.2633323Z + types-python-dateutil==2.9.0.20241206 2025-12-04T09:31:35.2634128Z + typeshed-client==2.8.2 2025-12-04T09:31:35.2634695Z - tzdata==2025.2 2025-12-04T09:31:35.2635322Z + tzdata==2024.2 2025-12-04T09:31:35.2636661Z + uri-template==1.3.0 2025-12-04T09:31:35.2637424Z - urllib3==2.5.0 2025-12-04T09:31:35.2637861Z + urllib3==2.2.3 2025-12-04T09:31:35.2638850Z - uvicorn==0.38.0 2025-12-04T09:31:35.2639744Z + uvicorn==0.35.0 2025-12-04T09:31:35.2640302Z + vector-quantize-pytorch==1.27.7 2025-12-04T09:31:35.2641240Z + virtualenv==20.31.2 2025-12-04T09:31:35.2641983Z + vocos==0.1.0 2025-12-04T09:31:35.2642894Z + wcwidth==0.2.13 2025-12-04T09:31:35.2643243Z + webcolors==24.11.1 2025-12-04T09:31:35.2644161Z - werkzeug==3.1.4 2025-12-04T09:31:35.2644558Z + werkzeug==3.1.3 2025-12-04T09:31:35.2645258Z + word2number==1.1 2025-12-04T09:31:35.2646549Z - wrapt==2.0.1 2025-12-04T09:31:35.2647032Z + wrapt==1.17.2 2025-12-04T09:31:35.2647781Z + xarray==2025.7.1 2025-12-04T09:31:35.2648375Z + xxhash==3.5.0 2025-12-04T09:31:35.2649377Z - yarl==1.22.0 2025-12-04T09:31:35.2650045Z + yarl==1.17.1 2025-12-04T09:31:35.2650822Z + zipp==3.23.0 2025-12-04T09:31:35.2651365Z + zstandard==0.23.0 2025-12-04T09:31:35.4452612Z 2025-12-04 09:31:35,444 [INFO] cli.lib.core.vllm.vllm_test: Done. installed requirements for test dependencies 2025-12-04T09:31:35.4453818Z 2025-12-04 09:31:35,444 [INFO] cli.lib.core.vllm.vllm_test: Double check installed packages 2025-12-04T09:31:35.4502426Z 2025-12-04 09:31:35,449 [INFO] cli.lib.common.pip_helper: torch already exist with version: 2.10.0a0+gitffd9b0f 2025-12-04T09:31:35.4506427Z 2025-12-04 09:31:35,450 [INFO] cli.lib.common.pip_helper: xformers already exist with version: 0.0.34+3f91ad6f.d20251204 2025-12-04T09:31:35.4510255Z 2025-12-04 09:31:35,450 [INFO] cli.lib.common.pip_helper: torchvision already exist with version: 0.25.0a0+617079d 2025-12-04T09:31:35.4513774Z 2025-12-04 09:31:35,451 [INFO] cli.lib.common.pip_helper: torchaudio already exist with version: 2.10.0a0+e90a398 2025-12-04T09:31:35.4519816Z 2025-12-04 09:31:35,451 [INFO] cli.lib.common.pip_helper: vllm already exist with version: 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:31:35.4520400Z 2025-12-04 09:31:35,451 [INFO] cli.lib.core.vllm.vllm_test: Done. checked installed packages 2025-12-04T09:31:35.4520821Z 2025-12-04 09:31:35,451 [INFO] cli.lib.core.vllm.lib: run vllm tests..... 2025-12-04T09:31:35.4521290Z 2025-12-04 09:31:35,451 [INFO] cli.lib.core.vllm.lib: Running tests: Distributed Tests (2 GPUs) pytorch 2.8 release failure 2025-12-04T09:31:35.4521908Z 2025-12-04 09:31:35,452 [INFO] cli.lib.core.vllm.lib: Running step: pytest -v -s distributed/test_sequence_parallel.py 2025-12-04T09:31:35.4522671Z 2025-12-04 09:31:35,452 [INFO] cli.lib.common.utils: [shell] pytest -v -s distributed/test_sequence_parallel.py 2025-12-04T09:31:45.6562140Z INFO 12-04 09:31:45 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:31:48.2010299Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/pytest_asyncio/plugin.py:208: PytestDeprecationWarning: The configuration option "asyncio_default_fixture_loop_scope" is unset. 2025-12-04T09:31:48.2012296Z The event loop scope for asynchronous fixtures will default to the fixture caching scope. Future versions of pytest-asyncio will default the loop scope for asynchronous fixtures to function scope. Set the default fixture loop scope explicitly in order to avoid unexpected behavior in the future. Valid fixture loop scopes are: "function", "class", "module", "package", "session" 2025-12-04T09:31:48.2013988Z 2025-12-04T09:31:48.2014233Z warnings.warn(PytestDeprecationWarning(_DEFAULT_FIXTURE_LOOP_SCOPE_UNSET)) 2025-12-04T09:31:48.2083527Z ============================= test session starts ============================== 2025-12-04T09:31:48.2084089Z platform linux -- Python 3.12.5, pytest-8.3.5, pluggy-1.5.0 -- /opt/conda/envs/py_3.12/bin/python 2025-12-04T09:31:48.2177093Z cachedir: .pytest_cache 2025-12-04T09:31:48.2177723Z hypothesis profile 'ci' -> database=None, deadline=None, print_blob=True, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:31:48.2178352Z rootdir: /var/lib/jenkins/workspace/vllm 2025-12-04T09:31:48.2178653Z configfile: pyproject.toml 2025-12-04T09:31:48.2179698Z plugins: cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, xdist-3.3.1, xdoctest-1.3.0, anyio-4.6.2.post1, hypothesis-6.131.0, schemathesis-3.39.15, cov-6.3.0, shard-0.1.2, asyncio-0.24.0, buildkite-test-collector-0.1.9, timeout-2.3.1, subtests-0.14.1, forked-1.6.0, mock-3.14.0, hydra-core-1.3.2 2025-12-04T09:31:48.2180794Z asyncio: mode=Mode.STRICT, default_loop_scope=None 2025-12-04T09:31:51.4787570Z collecting ...  2025-12-04T09:31:51.4790294Z collecting 20 items  2025-12-04T09:31:51.4791277Z collected 20 items  2025-12-04T09:31:51.4801599Z Running 20 items in this shard: tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup0-mp-auto-test_options0], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup1-ray-auto-test_options1], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup2-mp-auto-test_options2], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup3-ray-auto-test_options3], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup4-mp-auto-test_options4], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup5-ray-auto-test_options5], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup6-mp-auto-test_options6], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup7-ray-auto-test_options7], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup8-mp-auto-test_options8], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup9-ray-auto-test_options9], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup10-mp-auto-test_options10], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup11-ray-auto-test_options11], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup12-mp-auto-test_options12], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup13-ray-auto-test_options13], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup14-mp-auto-test_options14], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup15-ray-auto-test_options15], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8-parallel_setup16-mp-auto-test_options16], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8-parallel_setup17-ray-auto-test_options17], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8-parallel_setup18-mp-auto-test_options18], tests/distributed/test_sequence_parallel.py::test_tp_sp_generation[RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8-parallel_setup19-ray-auto-test_options19] 2025-12-04T09:31:51.4810943Z 2025-12-04T09:31:51.4952055Z distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup0-mp-auto-test_options0] Fork a new process to run a test 1189 2025-12-04T09:31:51.4965961Z Fork a new process to run a test 0 2025-12-04T09:31:51.5938727Z 2025-12-04T09:31:51.6351513Z tokenizer_config.json: 0% 0.00/54.5k [00:00, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [16, 8, 4, 2], 'cudagraph_copy_inputs': False, 'full_cuda_graph': True, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 16, 'local_cache_dir': None} 2025-12-04T09:32:14.0478163Z (EngineCore_DP0 pid=1476) WARNING 12-04 09:32:14 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:32:14.0483543Z (EngineCore_DP0 pid=1476) INFO 12-04 09:32:14 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_2aa8c1d6'), local_subscribe_addr='ipc:///tmp/2731a602-892d-443b-b130-19f4d5504729', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:32:16.9781546Z INFO 12-04 09:32:16 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:32:17.0050084Z INFO 12-04 09:32:17 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:32:24.1234760Z INFO 12-04 09:32:24 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_f57ded44'), local_subscribe_addr='ipc:///tmp/9d52f6bd-3a18-4594-977c-614b7d40a5b9', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:32:24.1930922Z INFO 12-04 09:32:24 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_6a95e805'), local_subscribe_addr='ipc:///tmp/0dad0e74-94fb-4995-9e00-1fa903646951', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:32:24.7690567Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:32:24.7691815Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:32:24.7742376Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:32:24.7743567Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:32:24.7878790Z INFO 12-04 09:32:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:32:24.7879783Z INFO 12-04 09:32:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:32:24.7880842Z INFO 12-04 09:32:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:32:24.9883140Z INFO 12-04 09:32:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:32:24.9884410Z WARNING 12-04 09:32:24 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:32:24.9886472Z WARNING 12-04 09:32:24 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:32:24.9905216Z INFO 12-04 09:32:24 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:32:24.9905859Z INFO 12-04 09:32:24 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:32:24.9906864Z WARNING 12-04 09:32:24 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:32:24.9908252Z WARNING 12-04 09:32:24 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:32:25.0931565Z INFO 12-04 09:32:25 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_d4a62732'), local_subscribe_addr='ipc:///tmp/8c5c5865-8bd9-45f3-86b6-9efca1438166', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:32:25.0962025Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:32:25.0963307Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:32:25.0969357Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:32:25.0977643Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:32:25.1625025Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:32:25.1637118Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:32:25.1648228Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:32:25.1649441Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:32:25.1650695Z INFO 12-04 09:32:25 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:32:25.1651596Z INFO 12-04 09:32:25 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:32:25.1652392Z INFO 12-04 09:32:25 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:32:25.1653095Z INFO 12-04 09:32:25 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:32:25.1961496Z INFO 12-04 09:32:25 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:32:25.1962980Z INFO 12-04 09:32:25 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:32:25.4439104Z INFO 12-04 09:32:25 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:32:25.4500311Z INFO 12-04 09:32:25 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:32:25.4758704Z (Worker_TP0 pid=1595) INFO 12-04 09:32:25 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:32:25.4808667Z (Worker_TP1 pid=1596) INFO 12-04 09:32:25 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:32:25.6847304Z (Worker_TP0 pid=1595) INFO 12-04 09:32:25 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:32:25.7108773Z (Worker_TP1 pid=1596) INFO 12-04 09:32:25 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:32:25.7747299Z (Worker_TP0 pid=1595) INFO 12-04 09:32:25 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:32:25.7997104Z (Worker_TP1 pid=1596) INFO 12-04 09:32:25 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:32:26.2741544Z (Worker_TP0 pid=1595) INFO 12-04 09:32:26 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.173084 seconds 2025-12-04T09:32:26.3369315Z (Worker_TP1 pid=1596) INFO 12-04 09:32:26 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.165837 seconds 2025-12-04T09:32:29.7006354Z (Worker_TP0 pid=1595) INFO 12-04 09:32:29 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/4ca8136fbc/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:32:29.7008886Z (Worker_TP0 pid=1595) INFO 12-04 09:32:29 [backends.py:608] Dynamo bytecode transform time: 3.12 s 2025-12-04T09:32:29.7646000Z (Worker_TP1 pid=1596) INFO 12-04 09:32:29 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/4ca8136fbc/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:32:29.7650774Z (Worker_TP1 pid=1596) INFO 12-04 09:32:29 [backends.py:608] Dynamo bytecode transform time: 3.17 s 2025-12-04T09:32:30.9371665Z (Worker_TP0 pid=1595) [rank0]:W1204 09:32:30.936000 1595 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T09:32:30.9598208Z (Worker_TP1 pid=1596) [rank1]:W1204 09:32:30.958000 1596 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T09:32:32.5076265Z (Worker_TP1 pid=1596) INFO 12-04 09:32:32 [backends.py:214] Cache the graph for dynamic shape for later use 2025-12-04T09:32:32.5077135Z (Worker_TP0 pid=1595) INFO 12-04 09:32:32 [backends.py:214] Cache the graph for dynamic shape for later use 2025-12-04T09:32:38.8421184Z (Worker_TP1 pid=1596) INFO 12-04 09:32:38 [backends.py:241] Compiling a graph for dynamic shape takes 8.80 s 2025-12-04T09:32:39.0547057Z (Worker_TP0 pid=1595) INFO 12-04 09:32:39 [backends.py:241] Compiling a graph for dynamic shape takes 9.08 s 2025-12-04T09:33:25.7602421Z (Worker_TP1 pid=1596) INFO 12-04 09:33:25 [gpu_worker.py:314] Available KV cache memory: 18.50 GiB 2025-12-04T09:33:25.8397983Z (Worker_TP0 pid=1595) INFO 12-04 09:33:25 [gpu_worker.py:314] Available KV cache memory: 18.50 GiB 2025-12-04T09:33:26.1226719Z (EngineCore_DP0 pid=1476) INFO 12-04 09:33:26 [kv_cache_utils.py:1199] GPU KV cache size: 1,212,160 tokens 2025-12-04T09:33:26.1227645Z (EngineCore_DP0 pid=1476) INFO 12-04 09:33:26 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 591.88x 2025-12-04T09:33:26.1228501Z (EngineCore_DP0 pid=1476) INFO 12-04 09:33:26 [kv_cache_utils.py:1199] GPU KV cache size: 1,212,160 tokens 2025-12-04T09:33:26.1229361Z (EngineCore_DP0 pid=1476) INFO 12-04 09:33:26 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 591.88x 2025-12-04T09:33:26.4126733Z (Worker_TP0 pid=1595) 2025-12-04T09:33:27.5743353Z Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0% 0/4 [00:00, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [16, 8, 4, 2, 1], 'cudagraph_copy_inputs': False, 'full_cuda_graph': True, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 16, 'local_cache_dir': None} 2025-12-04T09:34:08.4398317Z (EngineCore_DP0 pid=3970) WARNING 12-04 09:34:08 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:34:08.4400496Z (EngineCore_DP0 pid=3970) INFO 12-04 09:34:08 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_b4553a69'), local_subscribe_addr='ipc:///tmp/a052b899-ce19-4059-a660-79e67340dd5e', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:34:11.3071303Z INFO 12-04 09:34:11 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:34:11.3727825Z INFO 12-04 09:34:11 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:34:16.5433796Z INFO 12-04 09:34:16 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_b27782dd'), local_subscribe_addr='ipc:///tmp/7b08046c-d526-46ff-b77a-176c8bb60f00', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:34:16.5830400Z INFO 12-04 09:34:16 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_7ab52806'), local_subscribe_addr='ipc:///tmp/829736ef-79a2-4900-8ca8-f30dafffb74d', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:34:17.4197546Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:34:17.4199258Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:34:17.4243469Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:34:17.4244552Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:34:17.4287936Z INFO 12-04 09:34:17 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:34:17.4290230Z INFO 12-04 09:34:17 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:34:17.4298295Z INFO 12-04 09:34:17 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:34:17.4300635Z INFO 12-04 09:34:17 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:34:17.5959016Z WARNING 12-04 09:34:17 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:34:17.5960793Z WARNING 12-04 09:34:17 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:34:17.5982412Z INFO 12-04 09:34:17 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:34:17.5983596Z INFO 12-04 09:34:17 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:34:17.5985429Z WARNING 12-04 09:34:17 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:34:17.5986835Z WARNING 12-04 09:34:17 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:34:17.6629896Z INFO 12-04 09:34:17 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_99cb68eb'), local_subscribe_addr='ipc:///tmp/2961ae61-92a7-4855-8807-802bee40934b', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:34:17.6661115Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:34:17.6662272Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:34:17.6668116Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:34:17.6678142Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:34:17.7425253Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:34:17.7437621Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:34:17.7448425Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:34:17.7449605Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:34:17.7451019Z INFO 12-04 09:34:17 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:34:17.7451883Z INFO 12-04 09:34:17 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:34:17.7452659Z INFO 12-04 09:34:17 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:34:17.7453402Z INFO 12-04 09:34:17 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:34:17.7788089Z INFO 12-04 09:34:17 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:34:17.7788829Z INFO 12-04 09:34:17 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:34:18.0232807Z INFO 12-04 09:34:18 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:34:18.0429244Z INFO 12-04 09:34:18 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:34:18.0554943Z (Worker_TP0 pid=4089) INFO 12-04 09:34:18 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:34:18.0746435Z (Worker_TP1 pid=4090) INFO 12-04 09:34:18 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:34:18.3096118Z (Worker_TP0 pid=4089) INFO 12-04 09:34:18 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:34:18.3270166Z (Worker_TP1 pid=4090) INFO 12-04 09:34:18 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:34:18.3987929Z (Worker_TP0 pid=4089) INFO 12-04 09:34:18 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:34:18.4169120Z (Worker_TP1 pid=4090) INFO 12-04 09:34:18 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:34:18.8939004Z (Worker_TP0 pid=4089) INFO 12-04 09:34:18 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.166061 seconds 2025-12-04T09:34:18.9608620Z (Worker_TP1 pid=4090) INFO 12-04 09:34:18 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.169375 seconds 2025-12-04T09:34:22.5799623Z (Worker_TP1 pid=4090) INFO 12-04 09:34:22 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/0324c17727/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:34:22.5802707Z (Worker_TP1 pid=4090) INFO 12-04 09:34:22 [backends.py:608] Dynamo bytecode transform time: 3.34 s 2025-12-04T09:34:22.6601026Z (Worker_TP0 pid=4089) INFO 12-04 09:34:22 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/0324c17727/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:34:22.6605948Z (Worker_TP0 pid=4089) INFO 12-04 09:34:22 [backends.py:608] Dynamo bytecode transform time: 3.44 s 2025-12-04T09:34:23.6744691Z (Worker_TP1 pid=4090) [rank1]:W1204 09:34:23.673000 4090 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T09:34:23.6956647Z (Worker_TP0 pid=4089) [rank0]:W1204 09:34:23.694000 4089 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T09:34:25.0892515Z (Worker_TP1 pid=4090) INFO 12-04 09:34:25 [backends.py:214] Cache the graph for dynamic shape for later use 2025-12-04T09:34:25.0955077Z (Worker_TP0 pid=4089) INFO 12-04 09:34:25 [backends.py:214] Cache the graph for dynamic shape for later use 2025-12-04T09:34:33.2200395Z (Worker_TP0 pid=4089) INFO 12-04 09:34:33 [backends.py:241] Compiling a graph for dynamic shape takes 10.37 s 2025-12-04T09:34:33.3604369Z (Worker_TP1 pid=4090) INFO 12-04 09:34:33 [backends.py:241] Compiling a graph for dynamic shape takes 10.58 s 2025-12-04T09:34:39.9075881Z (Worker_TP1 pid=4090) INFO 12-04 09:34:39 [monitor.py:33] torch.compile takes 13.92 s in total 2025-12-04T09:34:39.9077258Z (Worker_TP0 pid=4089) INFO 12-04 09:34:39 [monitor.py:33] torch.compile takes 13.81 s in total 2025-12-04T09:34:40.6851760Z (Worker_TP0 pid=4089) INFO 12-04 09:34:40 [gpu_worker.py:314] Available KV cache memory: 18.49 GiB 2025-12-04T09:34:40.7465900Z (Worker_TP1 pid=4090) INFO 12-04 09:34:40 [gpu_worker.py:314] Available KV cache memory: 18.49 GiB 2025-12-04T09:34:41.0553233Z (EngineCore_DP0 pid=3970) INFO 12-04 09:34:41 [kv_cache_utils.py:1199] GPU KV cache size: 1,211,648 tokens 2025-12-04T09:34:41.0554186Z (EngineCore_DP0 pid=3970) INFO 12-04 09:34:41 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 591.62x 2025-12-04T09:34:41.0555066Z (EngineCore_DP0 pid=3970) INFO 12-04 09:34:41 [kv_cache_utils.py:1199] GPU KV cache size: 1,211,648 tokens 2025-12-04T09:34:41.0556327Z (EngineCore_DP0 pid=3970) INFO 12-04 09:34:41 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 591.62x 2025-12-04T09:34:41.3521541Z (Worker_TP0 pid=4089) 2025-12-04T09:34:41.4539450Z Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0% 0/5 [00:00, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [16, 8, 4, 2], 'cudagraph_copy_inputs': False, 'full_cuda_graph': True, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 16, 'local_cache_dir': None} 2025-12-04T09:35:03.8480996Z (EngineCore_DP0 pid=4952) 2025-12-04 09:35:03,846 INFO worker.py:1918 -- Started a local Ray instance. View the dashboard at http://127.0.0.1:8265  2025-12-04T09:35:04.6945021Z (EngineCore_DP0 pid=4952) INFO 12-04 09:35:04 [ray_utils.py:373] No current placement group found. Creating a new placement group. 2025-12-04T09:35:04.8778554Z (EngineCore_DP0 pid=4952) INFO 12-04 09:35:04 [ray_distributed_executor.py:179] use_ray_spmd_worker: True 2025-12-04T09:35:07.7077253Z (EngineCore_DP0 pid=4952) (pid=5836) INFO 12-04 09:35:07 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:35:09.3383552Z (EngineCore_DP0 pid=4952) INFO 12-04 09:35:09 [ray_env.py:67] RAY_NON_CARRY_OVER_ENV_VARS from config: set() 2025-12-04T09:35:09.3385640Z (EngineCore_DP0 pid=4952) INFO 12-04 09:35:09 [ray_env.py:70] Copying the following environment variables to workers: ['LD_LIBRARY_PATH', 'MAX_JOBS', 'VLLM_USE_RAY_SPMD_WORKER', 'HUGGING_FACE_HUB_TOKEN', 'VLLM_WORKER_MULTIPROC_METHOD', 'VLLM_USE_RAY_COMPILED_DAG', 'HF_TOKEN', 'VLLM_USE_V1'] 2025-12-04T09:35:09.3387321Z (EngineCore_DP0 pid=4952) INFO 12-04 09:35:09 [ray_env.py:75] If certain env vars should NOT be copied, add them to /var/lib/jenkins/.config/vllm/ray_non_carry_over_env_vars.json file 2025-12-04T09:35:12.6054621Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) WARNING 12-04 09:35:12 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. 2025-12-04T09:35:12.8112542Z (EngineCore_DP0 pid=4952) (pid=5841) INFO 12-04 09:35:07 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:35:13.0172751Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:35:13.0174422Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:35:13.0175514Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) INFO 12-04 09:35:13 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:35:13.0176454Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) INFO 12-04 09:35:13 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:35:13.3255287Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) WARNING 12-04 09:35:13 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:35:13.3257007Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) INFO 12-04 09:35:13 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:35:13.3258662Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) WARNING 12-04 09:35:13 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:35:13.3260946Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) INFO 12-04 09:35:13 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_af1b9af2'), local_subscribe_addr='ipc:///tmp/44b5dc40-fe19-4ce6-aa1d-4f5555af9862', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:35:13.4341527Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) INFO 12-04 09:35:13 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:35:13.6406918Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5841) INFO 12-04 09:35:13 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:35:13.7445279Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) INFO 12-04 09:35:13 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:35:13.9516001Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) INFO 12-04 09:35:13 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:35:14.0564691Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) INFO 12-04 09:35:14 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:35:14.5694684Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5841) INFO 12-04 09:35:14 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.167599 seconds 2025-12-04T09:35:17.9363312Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5841) INFO 12-04 09:35:17 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/4ca8136fbc/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:35:17.9364763Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5841) INFO 12-04 09:35:17 [backends.py:608] Dynamo bytecode transform time: 3.04 s 2025-12-04T09:35:17.9366085Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5841) WARNING 12-04 09:35:12 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. 2025-12-04T09:35:18.0404494Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5841) [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 [repeated 10x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.) 2025-12-04T09:35:18.0407254Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) INFO 12-04 09:35:13 [__init__.py:1146] Found nccl from library libnccl.so.2 [repeated 3x across cluster] 2025-12-04T09:35:18.0408205Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) INFO 12-04 09:35:13 [pynccl.py:109] vLLM is using nccl==2.27.5 [repeated 3x across cluster] 2025-12-04T09:35:19.0610643Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) INFO 12-04 09:35:19 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.812 s 2025-12-04T09:35:19.0614126Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5841) WARNING 12-04 09:35:13 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:35:19.0617357Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5841) INFO 12-04 09:35:13 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:35:19.0618709Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5841) WARNING 12-04 09:35:13 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:35:19.0620022Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5841) INFO 12-04 09:35:13 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:35:19.0620960Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) INFO 12-04 09:35:13 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:35:19.0621873Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5841) INFO 12-04 09:35:13 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:35:19.0622704Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5841) INFO 12-04 09:35:13 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:35:19.0623465Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5841) INFO 12-04 09:35:14 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:35:20.1852708Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) INFO 12-04 09:35:20 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:35:20.1853828Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) INFO 12-04 09:35:14 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.167844 seconds 2025-12-04T09:35:20.4481456Z (EngineCore_DP0 pid=4952) INFO 12-04 09:35:20 [kv_cache_utils.py:1199] GPU KV cache size: 1,215,360 tokens 2025-12-04T09:35:20.4482701Z (EngineCore_DP0 pid=4952) INFO 12-04 09:35:20 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.44x 2025-12-04T09:35:20.4483591Z (EngineCore_DP0 pid=4952) INFO 12-04 09:35:20 [kv_cache_utils.py:1199] GPU KV cache size: 1,215,360 tokens 2025-12-04T09:35:20.4484423Z (EngineCore_DP0 pid=4952) INFO 12-04 09:35:20 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.44x 2025-12-04T09:35:20.8000686Z (EngineCore_DP0 pid=4952) (RayWorkerWrapper pid=5836) 2025-12-04T09:35:20.8001932Z Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0%| | 0/4 [00:00, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [16, 8, 4, 2, 1], 'cudagraph_copy_inputs': False, 'full_cuda_graph': True, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 16, 'local_cache_dir': None} 2025-12-04T09:35:47.2756050Z (EngineCore_DP0 pid=9874) WARNING 12-04 09:35:47 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:35:47.2757712Z (EngineCore_DP0 pid=9874) INFO 12-04 09:35:47 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_e1d8033a'), local_subscribe_addr='ipc:///tmp/8a9045fe-b860-4cd5-93a6-386aaf4b6f4e', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:35:50.1786699Z INFO 12-04 09:35:50 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:35:50.1829958Z INFO 12-04 09:35:50 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:35:55.3533305Z INFO 12-04 09:35:55 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_deb44cbd'), local_subscribe_addr='ipc:///tmp/e40b2a58-eb9d-4f09-8ed2-e40508c26a14', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:35:55.3535255Z INFO 12-04 09:35:55 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_d1a30e51'), local_subscribe_addr='ipc:///tmp/c6152156-3e9a-4b0e-b0cd-697e19f3ce38', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:35:56.0780829Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:35:56.0781395Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:35:56.0830463Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:35:56.0831075Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:35:56.0874675Z INFO 12-04 09:35:56 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:35:56.0878112Z INFO 12-04 09:35:56 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:35:56.0885033Z INFO 12-04 09:35:56 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:35:56.0886766Z INFO 12-04 09:35:56 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:35:56.2597196Z WARNING 12-04 09:35:56 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:35:56.2599568Z WARNING 12-04 09:35:56 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:35:56.2625002Z INFO 12-04 09:35:56 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:35:56.2626660Z INFO 12-04 09:35:56 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:35:56.2629286Z WARNING 12-04 09:35:56 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:35:56.2632735Z WARNING 12-04 09:35:56 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:35:56.3530189Z INFO 12-04 09:35:56 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_7db006a2'), local_subscribe_addr='ipc:///tmp/79288f19-762f-419b-a03f-af0db67204c7', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:35:56.3567962Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:35:56.3569419Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:35:56.3576088Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:35:56.3583646Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:35:56.4426401Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:35:56.4438575Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:35:56.4449322Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:35:56.4449909Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:35:56.4453080Z INFO 12-04 09:35:56 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:35:56.4454024Z INFO 12-04 09:35:56 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:35:56.4454610Z INFO 12-04 09:35:56 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:35:56.4455190Z INFO 12-04 09:35:56 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:35:56.4787178Z INFO 12-04 09:35:56 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:35:56.4787959Z INFO 12-04 09:35:56 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:35:56.7221594Z INFO 12-04 09:35:56 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:35:56.7369643Z INFO 12-04 09:35:56 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:35:56.7538090Z (Worker_TP1 pid=9994) INFO 12-04 09:35:56 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:35:56.7685676Z (Worker_TP0 pid=9993) INFO 12-04 09:35:56 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:35:56.9724134Z (Worker_TP1 pid=9994) INFO 12-04 09:35:56 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:35:56.9976179Z (Worker_TP0 pid=9993) INFO 12-04 09:35:56 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:35:57.0607344Z (Worker_TP1 pid=9994) INFO 12-04 09:35:57 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:35:57.0869291Z (Worker_TP0 pid=9993) INFO 12-04 09:35:57 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:35:57.5599242Z (Worker_TP1 pid=9994) INFO 12-04 09:35:57 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.164876 seconds 2025-12-04T09:35:57.6243941Z (Worker_TP0 pid=9993) INFO 12-04 09:35:57 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.165366 seconds 2025-12-04T09:36:01.3304256Z (Worker_TP1 pid=9994) INFO 12-04 09:36:01 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/0324c17727/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:36:01.3309054Z (Worker_TP1 pid=9994) INFO 12-04 09:36:01 [backends.py:608] Dynamo bytecode transform time: 3.45 s 2025-12-04T09:36:01.3683675Z (Worker_TP0 pid=9993) INFO 12-04 09:36:01 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/0324c17727/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:36:01.3690912Z (Worker_TP0 pid=9993) INFO 12-04 09:36:01 [backends.py:608] Dynamo bytecode transform time: 3.47 s 2025-12-04T09:36:02.4327715Z (Worker_TP1 pid=9994) INFO 12-04 09:36:02 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.904 s 2025-12-04T09:36:02.4656731Z (Worker_TP0 pid=9993) INFO 12-04 09:36:02 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.898 s 2025-12-04T09:36:03.0536246Z (Worker_TP0 pid=9993) INFO 12-04 09:36:03 [monitor.py:33] torch.compile takes 3.47 s in total 2025-12-04T09:36:03.0537120Z (Worker_TP1 pid=9994) INFO 12-04 09:36:03 [monitor.py:33] torch.compile takes 3.45 s in total 2025-12-04T09:36:03.8046250Z (Worker_TP1 pid=9994) INFO 12-04 09:36:03 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:36:03.8102363Z (Worker_TP0 pid=9993) INFO 12-04 09:36:03 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:36:04.0795692Z (EngineCore_DP0 pid=9874) INFO 12-04 09:36:04 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,720 tokens 2025-12-04T09:36:04.0796867Z (EngineCore_DP0 pid=9874) INFO 12-04 09:36:04 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.12x 2025-12-04T09:36:04.0797732Z (EngineCore_DP0 pid=9874) INFO 12-04 09:36:04 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,720 tokens 2025-12-04T09:36:04.0798558Z (EngineCore_DP0 pid=9874) INFO 12-04 09:36:04 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.12x 2025-12-04T09:36:04.3548116Z (Worker_TP0 pid=9993) 2025-12-04T09:36:04.4768328Z Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0% 0/5 [00:00, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [16, 8, 4, 2], 'cudagraph_copy_inputs': False, 'full_cuda_graph': True, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 16, 'local_cache_dir': None} 2025-12-04T09:36:24.4373753Z (EngineCore_DP0 pid=10376) WARNING 12-04 09:36:24 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:36:24.4379721Z (EngineCore_DP0 pid=10376) INFO 12-04 09:36:24 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_72101bb3'), local_subscribe_addr='ipc:///tmp/83c39ed1-8022-4ea9-be28-d68fce48743e', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:36:27.3197424Z INFO 12-04 09:36:27 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:36:27.3548402Z INFO 12-04 09:36:27 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:36:32.4533564Z INFO 12-04 09:36:32 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_888e3a62'), local_subscribe_addr='ipc:///tmp/9e087dd5-3e59-407c-9d05-168365fb1422', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:36:32.4537111Z INFO 12-04 09:36:32 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_327db94a'), local_subscribe_addr='ipc:///tmp/33dbce55-9bcd-43a2-8a37-016b85a2b2d4', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:36:33.2721196Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:36:33.2721745Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:36:33.2763284Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:36:33.2764499Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:36:33.2806028Z INFO 12-04 09:36:33 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:36:33.2807847Z INFO 12-04 09:36:33 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:36:33.2817260Z INFO 12-04 09:36:33 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:36:33.2820703Z INFO 12-04 09:36:33 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:36:33.4560665Z WARNING 12-04 09:36:33 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:36:33.4562806Z WARNING 12-04 09:36:33 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:36:33.4582856Z INFO 12-04 09:36:33 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:36:33.4583496Z INFO 12-04 09:36:33 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:36:33.4584517Z WARNING 12-04 09:36:33 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:36:33.4585920Z WARNING 12-04 09:36:33 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:36:33.5529796Z INFO 12-04 09:36:33 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_0c15b0de'), local_subscribe_addr='ipc:///tmp/92a2fc14-f9a4-4fd2-9f72-718e5244e89a', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:36:33.5550929Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:36:33.5551588Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:36:33.5558672Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:36:33.5565958Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:36:33.5926053Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:36:33.5933519Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:36:33.5945463Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:36:33.5946238Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:36:33.5949389Z INFO 12-04 09:36:33 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:36:33.5949858Z INFO 12-04 09:36:33 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:36:33.5950223Z INFO 12-04 09:36:33 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:36:33.5950551Z INFO 12-04 09:36:33 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:36:33.6285820Z INFO 12-04 09:36:33 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:36:33.6286571Z INFO 12-04 09:36:33 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:36:33.8673047Z INFO 12-04 09:36:33 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:36:33.8990395Z (Worker_TP1 pid=10496) INFO 12-04 09:36:33 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:36:33.9007150Z INFO 12-04 09:36:33 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:36:33.9334415Z (Worker_TP0 pid=10495) INFO 12-04 09:36:33 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:36:34.1183449Z (Worker_TP1 pid=10496) INFO 12-04 09:36:34 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:36:34.1726254Z (Worker_TP0 pid=10495) INFO 12-04 09:36:34 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:36:34.2059603Z (Worker_TP1 pid=10496) INFO 12-04 09:36:34 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:36:34.2608076Z (Worker_TP0 pid=10495) INFO 12-04 09:36:34 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:36:34.7033963Z (Worker_TP1 pid=10496) INFO 12-04 09:36:34 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.165978 seconds 2025-12-04T09:36:34.8063200Z (Worker_TP0 pid=10495) INFO 12-04 09:36:34 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.166457 seconds 2025-12-04T09:36:38.0224546Z (Worker_TP1 pid=10496) INFO 12-04 09:36:38 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/4ca8136fbc/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:36:38.0233751Z (Worker_TP1 pid=10496) INFO 12-04 09:36:38 [backends.py:608] Dynamo bytecode transform time: 2.96 s 2025-12-04T09:36:38.1538152Z (Worker_TP0 pid=10495) INFO 12-04 09:36:38 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/4ca8136fbc/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:36:38.1548766Z (Worker_TP0 pid=10495) INFO 12-04 09:36:38 [backends.py:608] Dynamo bytecode transform time: 3.06 s 2025-12-04T09:36:39.0966609Z (Worker_TP1 pid=10496) INFO 12-04 09:36:39 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.798 s 2025-12-04T09:36:39.2350014Z (Worker_TP0 pid=10495) INFO 12-04 09:36:39 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.805 s 2025-12-04T09:36:40.4496427Z (Worker_TP0 pid=10495) INFO 12-04 09:36:40 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:36:40.4535758Z (Worker_TP1 pid=10496) INFO 12-04 09:36:40 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:36:40.7110375Z (EngineCore_DP0 pid=10376) INFO 12-04 09:36:40 [kv_cache_utils.py:1199] GPU KV cache size: 1,215,232 tokens 2025-12-04T09:36:40.7111309Z (EngineCore_DP0 pid=10376) INFO 12-04 09:36:40 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.38x 2025-12-04T09:36:40.7112195Z (EngineCore_DP0 pid=10376) INFO 12-04 09:36:40 [kv_cache_utils.py:1199] GPU KV cache size: 1,215,232 tokens 2025-12-04T09:36:40.7113828Z (EngineCore_DP0 pid=10376) INFO 12-04 09:36:40 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.38x 2025-12-04T09:36:40.9805437Z (Worker_TP0 pid=10495) 2025-12-04T09:36:43.6178341Z Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0% 0/4 [00:00, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [16, 8, 4, 2, 1], 'cudagraph_copy_inputs': False, 'full_cuda_graph': True, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 16, 'local_cache_dir': None} 2025-12-04T09:37:05.8729968Z (EngineCore_DP0 pid=10847) WARNING 12-04 09:37:05 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:37:05.8731769Z (EngineCore_DP0 pid=10847) INFO 12-04 09:37:05 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_0dee78ea'), local_subscribe_addr='ipc:///tmp/fdf899a3-7df0-46fa-8a29-968db84372a5', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:37:08.7855523Z INFO 12-04 09:37:08 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:37:08.7972404Z INFO 12-04 09:37:08 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:37:14.0032768Z INFO 12-04 09:37:14 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_10240d08'), local_subscribe_addr='ipc:///tmp/f1478b92-6d35-4596-ae8e-a2b35fd2b976', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:37:14.0036408Z INFO 12-04 09:37:14 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_77218623'), local_subscribe_addr='ipc:///tmp/98caa652-34e7-4ab9-ae88-6eed8891b85b', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:37:14.5928679Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:37:14.5930023Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:37:14.5973765Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:37:14.5974957Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:37:14.6019761Z INFO 12-04 09:37:14 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:37:14.6021835Z INFO 12-04 09:37:14 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:37:14.6028542Z INFO 12-04 09:37:14 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:37:14.6030338Z INFO 12-04 09:37:14 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:37:14.7717258Z WARNING 12-04 09:37:14 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:37:14.7719418Z WARNING 12-04 09:37:14 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:37:14.7748780Z INFO 12-04 09:37:14 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:37:14.7750002Z WARNING 12-04 09:37:14 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:37:14.7751047Z INFO 12-04 09:37:14 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:37:14.7752100Z WARNING 12-04 09:37:14 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:37:14.8630577Z INFO 12-04 09:37:14 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_3c3e260e'), local_subscribe_addr='ipc:///tmp/e941bfcb-49b1-44cd-9d41-0ba5fa498b59', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:37:14.8663110Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:37:14.8664607Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:37:14.8671830Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:37:14.8680396Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:37:14.9026402Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:37:14.9033657Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:37:14.9043379Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:37:14.9043966Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:37:14.9047003Z INFO 12-04 09:37:14 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:37:14.9047504Z INFO 12-04 09:37:14 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:37:14.9047849Z INFO 12-04 09:37:14 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:37:14.9048220Z INFO 12-04 09:37:14 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:37:14.9375307Z INFO 12-04 09:37:14 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:37:14.9376123Z INFO 12-04 09:37:14 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:37:15.1847584Z INFO 12-04 09:37:15 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:37:15.1885702Z INFO 12-04 09:37:15 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:37:15.2173647Z (Worker_TP1 pid=10967) INFO 12-04 09:37:15 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:37:15.2203648Z (Worker_TP0 pid=10966) INFO 12-04 09:37:15 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:37:15.4344692Z (Worker_TP1 pid=10967) INFO 12-04 09:37:15 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:37:15.4480518Z (Worker_TP0 pid=10966) INFO 12-04 09:37:15 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:37:15.5241301Z (Worker_TP1 pid=10967) INFO 12-04 09:37:15 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:37:15.5391452Z (Worker_TP0 pid=10966) INFO 12-04 09:37:15 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:37:16.0209688Z (Worker_TP1 pid=10967) INFO 12-04 09:37:16 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.168306 seconds 2025-12-04T09:37:16.0777909Z (Worker_TP0 pid=10966) INFO 12-04 09:37:16 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.167288 seconds 2025-12-04T09:37:19.6906721Z (Worker_TP1 pid=10967) INFO 12-04 09:37:19 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/0324c17727/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:37:19.6912098Z (Worker_TP1 pid=10967) INFO 12-04 09:37:19 [backends.py:608] Dynamo bytecode transform time: 3.35 s 2025-12-04T09:37:19.8150959Z (Worker_TP0 pid=10966) INFO 12-04 09:37:19 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/0324c17727/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:37:19.8157474Z (Worker_TP0 pid=10966) INFO 12-04 09:37:19 [backends.py:608] Dynamo bytecode transform time: 3.46 s 2025-12-04T09:37:20.7764484Z (Worker_TP1 pid=10967) INFO 12-04 09:37:20 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.887 s 2025-12-04T09:37:20.9000014Z (Worker_TP0 pid=10966) INFO 12-04 09:37:20 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.887 s 2025-12-04T09:37:21.3951135Z (Worker_TP0 pid=10966) INFO 12-04 09:37:21 [monitor.py:33] torch.compile takes 3.46 s in total 2025-12-04T09:37:21.3952442Z (Worker_TP1 pid=10967) INFO 12-04 09:37:21 [monitor.py:33] torch.compile takes 3.35 s in total 2025-12-04T09:37:22.1455235Z (Worker_TP1 pid=10967) INFO 12-04 09:37:22 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:37:22.1468038Z (Worker_TP0 pid=10966) INFO 12-04 09:37:22 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:37:22.4097801Z (EngineCore_DP0 pid=10847) INFO 12-04 09:37:22 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,720 tokens 2025-12-04T09:37:22.4098704Z (EngineCore_DP0 pid=10847) INFO 12-04 09:37:22 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.12x 2025-12-04T09:37:22.4099557Z (EngineCore_DP0 pid=10847) INFO 12-04 09:37:22 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,720 tokens 2025-12-04T09:37:22.4100372Z (EngineCore_DP0 pid=10847) INFO 12-04 09:37:22 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.12x 2025-12-04T09:37:22.6810951Z (Worker_TP0 pid=10966) 2025-12-04T09:37:22.8023419Z Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0% 0/5 [00:00, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [16, 8, 4, 2], 'cudagraph_copy_inputs': False, 'full_cuda_graph': True, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 16, 'local_cache_dir': None} 2025-12-04T09:37:44.3909139Z (EngineCore_DP0 pid=11349) 2025-12-04 09:37:44,390 INFO worker.py:1918 -- Started a local Ray instance. View the dashboard at http://127.0.0.1:8265  2025-12-04T09:37:45.2360175Z (EngineCore_DP0 pid=11349) INFO 12-04 09:37:45 [ray_utils.py:373] No current placement group found. Creating a new placement group. 2025-12-04T09:37:45.4143768Z (EngineCore_DP0 pid=11349) INFO 12-04 09:37:45 [ray_distributed_executor.py:179] use_ray_spmd_worker: True 2025-12-04T09:37:48.2330988Z (EngineCore_DP0 pid=11349) (pid=12238) INFO 12-04 09:37:48 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:37:49.8712782Z (EngineCore_DP0 pid=11349) INFO 12-04 09:37:49 [ray_env.py:67] RAY_NON_CARRY_OVER_ENV_VARS from config: set() 2025-12-04T09:37:49.8714538Z (EngineCore_DP0 pid=11349) INFO 12-04 09:37:49 [ray_env.py:70] Copying the following environment variables to workers: ['HF_TOKEN', 'MAX_JOBS', 'HUGGING_FACE_HUB_TOKEN', 'LD_LIBRARY_PATH', 'VLLM_USE_V1', 'VLLM_USE_RAY_COMPILED_DAG', 'VLLM_WORKER_MULTIPROC_METHOD', 'VLLM_USE_RAY_SPMD_WORKER'] 2025-12-04T09:37:49.8716179Z (EngineCore_DP0 pid=11349) INFO 12-04 09:37:49 [ray_env.py:75] If certain env vars should NOT be copied, add them to /var/lib/jenkins/.config/vllm/ray_non_carry_over_env_vars.json file 2025-12-04T09:37:53.0281713Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12238) WARNING 12-04 09:37:52 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. 2025-12-04T09:37:53.3394847Z (EngineCore_DP0 pid=11349) (pid=12236) INFO 12-04 09:37:48 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:37:53.5461098Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:37:53.5462887Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:37:53.5463990Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) INFO 12-04 09:37:53 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:37:53.5464976Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) INFO 12-04 09:37:53 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:37:53.7537453Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) WARNING 12-04 09:37:53 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:37:53.7538878Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) INFO 12-04 09:37:53 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:37:53.7540563Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) WARNING 12-04 09:37:53 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:37:53.7542855Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) INFO 12-04 09:37:53 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_41e244c6'), local_subscribe_addr='ipc:///tmp/6fa5e9fd-6ba6-40d3-95a7-625146953934', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:37:53.8628887Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) INFO 12-04 09:37:53 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:37:54.0699267Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) INFO 12-04 09:37:54 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:37:54.1741985Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) INFO 12-04 09:37:54 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:37:54.3803005Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) INFO 12-04 09:37:54 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:37:54.4844411Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) INFO 12-04 09:37:54 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:37:54.9956113Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) INFO 12-04 09:37:54 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.167828 seconds 2025-12-04T09:37:58.3680638Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12238) INFO 12-04 09:37:58 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/4ca8136fbc/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:37:58.3682156Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12238) INFO 12-04 09:37:58 [backends.py:608] Dynamo bytecode transform time: 2.98 s 2025-12-04T09:37:58.3683529Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) WARNING 12-04 09:37:53 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. 2025-12-04T09:37:59.3907972Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12238) INFO 12-04 09:37:59 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.810 s 2025-12-04T09:37:59.3910199Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12238) [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 [repeated 10x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.) 2025-12-04T09:37:59.3912750Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12238) INFO 12-04 09:37:53 [__init__.py:1146] Found nccl from library libnccl.so.2 [repeated 3x across cluster] 2025-12-04T09:37:59.3914069Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12238) INFO 12-04 09:37:53 [pynccl.py:109] vLLM is using nccl==2.27.5 [repeated 3x across cluster] 2025-12-04T09:37:59.3915210Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12238) WARNING 12-04 09:37:53 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:37:59.3916268Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12238) INFO 12-04 09:37:53 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:37:59.3917614Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12238) WARNING 12-04 09:37:53 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:37:59.3918945Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12238) INFO 12-04 09:37:53 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:37:59.3919952Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12238) INFO 12-04 09:37:54 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:37:59.3920883Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12238) INFO 12-04 09:37:54 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:37:59.3921738Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12238) INFO 12-04 09:37:54 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:37:59.5963038Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12238) INFO 12-04 09:37:54 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:38:00.7204859Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) INFO 12-04 09:38:00 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:38:00.7207189Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12238) INFO 12-04 09:37:55 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.167281 seconds 2025-12-04T09:38:01.0099308Z (EngineCore_DP0 pid=11349) INFO 12-04 09:38:01 [kv_cache_utils.py:1199] GPU KV cache size: 1,215,360 tokens 2025-12-04T09:38:01.0100376Z (EngineCore_DP0 pid=11349) INFO 12-04 09:38:01 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.44x 2025-12-04T09:38:01.0101276Z (EngineCore_DP0 pid=11349) INFO 12-04 09:38:01 [kv_cache_utils.py:1199] GPU KV cache size: 1,215,360 tokens 2025-12-04T09:38:01.0102113Z (EngineCore_DP0 pid=11349) INFO 12-04 09:38:01 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.44x 2025-12-04T09:38:01.3368537Z (EngineCore_DP0 pid=11349) (RayWorkerWrapper pid=12236) 2025-12-04T09:38:01.3369808Z Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0%| | 0/4 [00:00, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [16, 8, 4, 2, 1], 'cudagraph_copy_inputs': False, 'full_cuda_graph': True, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 16, 'local_cache_dir': None} 2025-12-04T09:38:24.8211436Z (EngineCore_DP0 pid=16151) WARNING 12-04 09:38:24 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:38:24.8215338Z (EngineCore_DP0 pid=16151) INFO 12-04 09:38:24 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_d71eec64'), local_subscribe_addr='ipc:///tmp/907f35d8-ced9-4a24-8b06-891d28bbdfab', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:38:27.7136849Z INFO 12-04 09:38:27 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:38:27.7482228Z INFO 12-04 09:38:27 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:38:32.8836001Z INFO 12-04 09:38:32 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_dbe5179e'), local_subscribe_addr='ipc:///tmp/b5a46a2f-37e8-4376-b695-14c66baf343e', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:38:32.9225640Z INFO 12-04 09:38:32 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_b68fa0ae'), local_subscribe_addr='ipc:///tmp/388a1fd2-9c09-45d2-9cc0-dc047bc89617', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:38:33.0856245Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:38:33.0857437Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:38:33.0899411Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:38:33.0900515Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:38:33.0944321Z INFO 12-04 09:38:33 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:38:33.0945546Z INFO 12-04 09:38:33 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:38:33.0951214Z INFO 12-04 09:38:33 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:38:33.0953687Z INFO 12-04 09:38:33 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:38:33.2676583Z WARNING 12-04 09:38:33 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:38:33.2678818Z WARNING 12-04 09:38:33 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:38:33.2703374Z INFO 12-04 09:38:33 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:38:33.2704415Z WARNING 12-04 09:38:33 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:38:33.2705418Z INFO 12-04 09:38:33 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:38:33.2706439Z WARNING 12-04 09:38:33 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:38:33.3631023Z INFO 12-04 09:38:33 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_97cd2385'), local_subscribe_addr='ipc:///tmp/1f8f7c08-7b94-4399-8377-7c889b82a86c', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:38:33.3658021Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:38:33.3658509Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:38:33.3666405Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:38:33.3674420Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:38:33.4926435Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:38:33.4936483Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:38:33.4948264Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:38:33.4948903Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:38:33.4951179Z INFO 12-04 09:38:33 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:38:33.4951689Z INFO 12-04 09:38:33 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:38:33.4952105Z INFO 12-04 09:38:33 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:38:33.4952519Z INFO 12-04 09:38:33 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:38:33.5290182Z INFO 12-04 09:38:33 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:38:33.5290957Z INFO 12-04 09:38:33 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:38:33.7521333Z INFO 12-04 09:38:33 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:38:33.7728126Z INFO 12-04 09:38:33 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:38:33.7845180Z (Worker_TP1 pid=16271) INFO 12-04 09:38:33 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:38:33.8059227Z (Worker_TP0 pid=16270) INFO 12-04 09:38:33 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:38:33.9957212Z (Worker_TP1 pid=16271) INFO 12-04 09:38:33 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:38:34.0301024Z (Worker_TP0 pid=16270) INFO 12-04 09:38:34 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:38:34.0852983Z (Worker_TP1 pid=16271) INFO 12-04 09:38:34 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:38:34.1200635Z (Worker_TP0 pid=16270) INFO 12-04 09:38:34 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:38:34.5815888Z (Worker_TP1 pid=16271) INFO 12-04 09:38:34 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.167838 seconds 2025-12-04T09:38:34.6565049Z (Worker_TP0 pid=16270) INFO 12-04 09:38:34 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.167361 seconds 2025-12-04T09:38:38.2509223Z (Worker_TP1 pid=16271) INFO 12-04 09:38:38 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/0324c17727/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:38:38.2514773Z (Worker_TP1 pid=16271) INFO 12-04 09:38:38 [backends.py:608] Dynamo bytecode transform time: 3.35 s 2025-12-04T09:38:38.2783603Z (Worker_TP0 pid=16270) INFO 12-04 09:38:38 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/0324c17727/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:38:38.2790129Z (Worker_TP0 pid=16270) INFO 12-04 09:38:38 [backends.py:608] Dynamo bytecode transform time: 3.36 s 2025-12-04T09:38:39.3634823Z (Worker_TP1 pid=16271) INFO 12-04 09:38:39 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.914 s 2025-12-04T09:38:39.3702074Z (Worker_TP0 pid=16270) INFO 12-04 09:38:39 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.895 s 2025-12-04T09:38:39.9843194Z (Worker_TP0 pid=16270) INFO 12-04 09:38:39 [monitor.py:33] torch.compile takes 3.36 s in total 2025-12-04T09:38:39.9844037Z (Worker_TP1 pid=16271) INFO 12-04 09:38:39 [monitor.py:33] torch.compile takes 3.35 s in total 2025-12-04T09:38:40.7365124Z (Worker_TP1 pid=16271) INFO 12-04 09:38:40 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:38:40.7578667Z (Worker_TP0 pid=16270) INFO 12-04 09:38:40 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:38:41.0304020Z (EngineCore_DP0 pid=16151) INFO 12-04 09:38:41 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,720 tokens 2025-12-04T09:38:41.0305095Z (EngineCore_DP0 pid=16151) INFO 12-04 09:38:41 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.12x 2025-12-04T09:38:41.0306379Z (EngineCore_DP0 pid=16151) INFO 12-04 09:38:41 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,720 tokens 2025-12-04T09:38:41.0307228Z (EngineCore_DP0 pid=16151) INFO 12-04 09:38:41 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.12x 2025-12-04T09:38:41.3162099Z (Worker_TP0 pid=16270) 2025-12-04T09:38:41.4389279Z Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0% 0/5 [00:00, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [16, 8, 4, 2], 'cudagraph_copy_inputs': False, 'full_cuda_graph': True, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 16, 'local_cache_dir': None} 2025-12-04T09:39:00.9576918Z (EngineCore_DP0 pid=16653) WARNING 12-04 09:39:00 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:39:00.9579266Z (EngineCore_DP0 pid=16653) INFO 12-04 09:39:00 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1, 2, 3], buffer_handle=(4, 16777216, 10, 'psm_f4cc04e6'), local_subscribe_addr='ipc:///tmp/f38ddcc9-0034-477f-b515-a4b5b687ff06', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:39:03.9065131Z INFO 12-04 09:39:03 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:39:03.9180261Z INFO 12-04 09:39:03 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:39:03.9446801Z INFO 12-04 09:39:03 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:39:04.0835063Z INFO 12-04 09:39:04 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:39:09.1159647Z INFO 12-04 09:39:09 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_043a2f6b'), local_subscribe_addr='ipc:///tmp/b9c0d520-fde0-433b-ac6b-a8458ce3c7cc', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:39:09.2129900Z INFO 12-04 09:39:09 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_e7319df3'), local_subscribe_addr='ipc:///tmp/a8787d1d-4d1c-4449-9a03-cdf48ec7d579', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:39:09.3027291Z INFO 12-04 09:39:09 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_96739b96'), local_subscribe_addr='ipc:///tmp/5e1e2c62-dcd3-413f-abfe-1b7a62482243', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:39:09.3029155Z INFO 12-04 09:39:09 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_29d4392c'), local_subscribe_addr='ipc:///tmp/d846428a-e040-480f-8851-4472bdeff1bd', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:39:09.7888830Z [Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:39:09.7890014Z [Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:39:09.7890631Z [Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:39:09.7891200Z [Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:39:09.7933808Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:39:09.7934396Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:39:09.7935207Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:39:09.7935794Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:39:09.7978562Z INFO 12-04 09:39:09 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:39:09.7980202Z INFO 12-04 09:39:09 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:39:09.7981178Z INFO 12-04 09:39:09 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:39:09.7982303Z INFO 12-04 09:39:09 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:39:09.7983056Z INFO 12-04 09:39:09 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:39:09.7983786Z INFO 12-04 09:39:09 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:39:09.7990342Z INFO 12-04 09:39:09 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:39:09.7992681Z INFO 12-04 09:39:09 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:39:09.9808429Z WARNING 12-04 09:39:09 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:39:09.9809701Z WARNING 12-04 09:39:09 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:39:09.9833913Z INFO 12-04 09:39:09 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:39:09.9835173Z INFO 12-04 09:39:09 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:39:09.9840117Z WARNING 12-04 09:39:09 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:39:09.9841285Z WARNING 12-04 09:39:09 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:39:09.9854083Z INFO 12-04 09:39:09 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_4556d20d'), local_subscribe_addr='ipc:///tmp/292f2fe0-a1a4-4738-855f-c9e70522acd4', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:39:10.0721360Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:39:10.0722556Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:39:10.0884582Z WARNING 12-04 09:39:10 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:39:10.0886342Z WARNING 12-04 09:39:10 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:39:10.0908205Z INFO 12-04 09:39:10 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:39:10.0908830Z INFO 12-04 09:39:10 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:39:10.0909824Z WARNING 12-04 09:39:10 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:39:10.0911473Z WARNING 12-04 09:39:10 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:39:10.0928974Z INFO 12-04 09:39:10 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_86c3faca'), local_subscribe_addr='ipc:///tmp/29ae516c-f15f-4ea1-8e3c-0aa5cc2b9e99', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:39:10.0949922Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:39:10.0963293Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:39:10.0963906Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:39:10.0966060Z INFO 12-04 09:39:10 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:39:10.0966521Z INFO 12-04 09:39:10 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:39:10.0966939Z INFO 12-04 09:39:10 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:39:10.0967327Z INFO 12-04 09:39:10 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:39:10.1301975Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:39:10.1303069Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:39:10.1625283Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:39:10.1639225Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:39:10.1639793Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:39:10.1642053Z INFO 12-04 09:39:10 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:39:10.1642506Z INFO 12-04 09:39:10 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:39:10.1642895Z INFO 12-04 09:39:10 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:39:10.1645394Z INFO 12-04 09:39:10 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:39:10.1972608Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:39:10.1973750Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:39:10.1982055Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:39:10.1982644Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:39:10.1983187Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:39:10.1983717Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:39:10.1984232Z INFO 12-04 09:39:10 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:39:10.1984635Z INFO 12-04 09:39:10 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:39:10.1985028Z INFO 12-04 09:39:10 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:39:10.1985425Z INFO 12-04 09:39:10 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:39:10.1985796Z INFO 12-04 09:39:10 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:39:10.1986199Z INFO 12-04 09:39:10 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:39:10.1986576Z INFO 12-04 09:39:10 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:39:10.1986931Z INFO 12-04 09:39:10 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:39:10.2390291Z INFO 12-04 09:39:10 [parallel_state.py:1231] rank 0 in world size 4 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:39:10.2391079Z INFO 12-04 09:39:10 [parallel_state.py:1231] rank 1 in world size 4 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:39:10.2392170Z INFO 12-04 09:39:10 [parallel_state.py:1231] rank 3 in world size 4 is assigned as DP rank 0, PP rank 1, TP rank 1, EP rank 1 2025-12-04T09:39:10.2392884Z INFO 12-04 09:39:10 [parallel_state.py:1231] rank 2 in world size 4 is assigned as DP rank 0, PP rank 1, TP rank 0, EP rank 0 2025-12-04T09:39:10.4772739Z INFO 12-04 09:39:10 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:39:10.4967784Z INFO 12-04 09:39:10 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:39:10.5012006Z INFO 12-04 09:39:10 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:39:10.5076503Z (Worker_PP1_TP0 pid=16774) INFO 12-04 09:39:10 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:39:10.5227112Z INFO 12-04 09:39:10 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:39:10.5282854Z (Worker_PP1_TP1 pid=16775) INFO 12-04 09:39:10 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:39:10.5319311Z (Worker_PP0_TP1 pid=16773) INFO 12-04 09:39:10 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:39:10.5540399Z (Worker_PP0_TP0 pid=16772) INFO 12-04 09:39:10 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:39:10.7165021Z (Worker_PP1_TP0 pid=16774) INFO 12-04 09:39:10 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:39:10.7431788Z (Worker_PP1_TP1 pid=16775) INFO 12-04 09:39:10 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:39:10.7794812Z (Worker_PP0_TP1 pid=16773) INFO 12-04 09:39:10 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:39:10.8051359Z (Worker_PP1_TP0 pid=16774) INFO 12-04 09:39:10 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:39:10.8247467Z (Worker_PP0_TP0 pid=16772) INFO 12-04 09:39:10 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:39:10.8331174Z (Worker_PP1_TP1 pid=16775) INFO 12-04 09:39:10 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:39:10.8694418Z (Worker_PP0_TP1 pid=16773) INFO 12-04 09:39:10 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:39:10.9130661Z (Worker_PP0_TP0 pid=16772) INFO 12-04 09:39:10 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:39:11.2906392Z (Worker_PP1_TP0 pid=16774) INFO 12-04 09:39:11 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.152392 seconds 2025-12-04T09:39:11.3213510Z (Worker_PP1_TP1 pid=16775) INFO 12-04 09:39:11 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.155448 seconds 2025-12-04T09:39:11.4465315Z (Worker_PP0_TP1 pid=16773) INFO 12-04 09:39:11 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.154916 seconds 2025-12-04T09:39:11.4933737Z (Worker_PP0_TP0 pid=16772) INFO 12-04 09:39:11 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.154327 seconds 2025-12-04T09:39:13.7308454Z (Worker_PP1_TP0 pid=16774) INFO 12-04 09:39:13 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/918ac42dc5/rank_2_0/backbone for vLLM's torch.compile 2025-12-04T09:39:13.7311292Z (Worker_PP1_TP0 pid=16774) INFO 12-04 09:39:13 [backends.py:608] Dynamo bytecode transform time: 2.03 s 2025-12-04T09:39:13.7811731Z (Worker_PP1_TP1 pid=16775) INFO 12-04 09:39:13 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/918ac42dc5/rank_3_0/backbone for vLLM's torch.compile 2025-12-04T09:39:13.7816678Z (Worker_PP1_TP1 pid=16775) INFO 12-04 09:39:13 [backends.py:608] Dynamo bytecode transform time: 2.08 s 2025-12-04T09:39:13.9303200Z (Worker_PP0_TP1 pid=16773) INFO 12-04 09:39:13 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/728314b73b/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:39:13.9307730Z (Worker_PP0_TP1 pid=16773) INFO 12-04 09:39:13 [backends.py:608] Dynamo bytecode transform time: 2.18 s 2025-12-04T09:39:13.9590236Z (Worker_PP0_TP0 pid=16772) INFO 12-04 09:39:13 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/728314b73b/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:39:13.9594209Z (Worker_PP0_TP0 pid=16772) INFO 12-04 09:39:13 [backends.py:608] Dynamo bytecode transform time: 2.20 s 2025-12-04T09:39:14.6875815Z (Worker_PP1_TP0 pid=16774) [rank2]:W1204 09:39:14.686000 16774 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T09:39:14.7701057Z (Worker_PP0_TP0 pid=16772) [rank0]:W1204 09:39:14.769000 16772 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T09:39:14.7731211Z (Worker_PP1_TP1 pid=16775) [rank3]:W1204 09:39:14.772000 16775 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T09:39:15.0399032Z (Worker_PP0_TP1 pid=16773) [rank1]:W1204 09:39:15.038000 16773 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T09:39:15.7641388Z (Worker_PP1_TP0 pid=16774) INFO 12-04 09:39:15 [backends.py:214] Cache the graph for dynamic shape for later use 2025-12-04T09:39:15.8478286Z (Worker_PP1_TP1 pid=16775) INFO 12-04 09:39:15 [backends.py:214] Cache the graph for dynamic shape for later use 2025-12-04T09:39:16.3420351Z (Worker_PP0_TP1 pid=16773) INFO 12-04 09:39:16 [backends.py:214] Cache the graph for dynamic shape for later use 2025-12-04T09:39:16.3661219Z (Worker_PP0_TP0 pid=16772) INFO 12-04 09:39:16 [backends.py:214] Cache the graph for dynamic shape for later use 2025-12-04T09:39:19.4232654Z (Worker_PP1_TP0 pid=16774) INFO 12-04 09:39:19 [backends.py:241] Compiling a graph for dynamic shape takes 5.49 s 2025-12-04T09:39:19.4961278Z (Worker_PP0_TP0 pid=16772) INFO 12-04 09:39:19 [backends.py:241] Compiling a graph for dynamic shape takes 5.32 s 2025-12-04T09:39:19.5691164Z (Worker_PP0_TP1 pid=16773) INFO 12-04 09:39:19 [backends.py:241] Compiling a graph for dynamic shape takes 5.42 s 2025-12-04T09:39:19.6666678Z (Worker_PP1_TP1 pid=16775) INFO 12-04 09:39:19 [backends.py:241] Compiling a graph for dynamic shape takes 5.67 s 2025-12-04T09:39:23.3270193Z (Worker_PP0_TP1 pid=16773) INFO 12-04 09:39:23 [gpu_worker.py:314] Available KV cache memory: 18.97 GiB 2025-12-04T09:39:23.3617392Z (Worker_PP0_TP0 pid=16772) INFO 12-04 09:39:23 [gpu_worker.py:314] Available KV cache memory: 18.97 GiB 2025-12-04T09:39:23.7052056Z (Worker_PP1_TP0 pid=16774) INFO 12-04 09:39:23 [gpu_worker.py:314] Available KV cache memory: 18.94 GiB 2025-12-04T09:39:23.7660708Z (Worker_PP1_TP1 pid=16775) INFO 12-04 09:39:23 [gpu_worker.py:314] Available KV cache memory: 18.94 GiB 2025-12-04T09:39:24.0376308Z (EngineCore_DP0 pid=16653) INFO 12-04 09:39:24 [kv_cache_utils.py:1199] GPU KV cache size: 2,482,944 tokens 2025-12-04T09:39:24.0377241Z (EngineCore_DP0 pid=16653) INFO 12-04 09:39:24 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1212.38x 2025-12-04T09:39:24.0378077Z (EngineCore_DP0 pid=16653) INFO 12-04 09:39:24 [kv_cache_utils.py:1199] GPU KV cache size: 2,482,944 tokens 2025-12-04T09:39:24.0378758Z (EngineCore_DP0 pid=16653) INFO 12-04 09:39:24 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1212.38x 2025-12-04T09:39:24.0379732Z (EngineCore_DP0 pid=16653) INFO 12-04 09:39:24 [kv_cache_utils.py:1199] GPU KV cache size: 2,482,944 tokens 2025-12-04T09:39:24.0380413Z (EngineCore_DP0 pid=16653) INFO 12-04 09:39:24 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1212.38x 2025-12-04T09:39:24.0381059Z (EngineCore_DP0 pid=16653) INFO 12-04 09:39:24 [kv_cache_utils.py:1199] GPU KV cache size: 2,482,944 tokens 2025-12-04T09:39:24.0381710Z (EngineCore_DP0 pid=16653) INFO 12-04 09:39:24 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1212.38x 2025-12-04T09:39:24.3723964Z (Worker_PP0_TP0 pid=16772) 2025-12-04T09:39:25.3229757Z Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0% 0/4 [00:00, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [16, 8, 4, 2, 1], 'cudagraph_copy_inputs': False, 'full_cuda_graph': True, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 16, 'local_cache_dir': None} 2025-12-04T09:40:10.9772315Z (EngineCore_DP0 pid=21011) WARNING 12-04 09:40:10 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:40:10.9774334Z (EngineCore_DP0 pid=21011) INFO 12-04 09:40:10 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_4b8c56fa'), local_subscribe_addr='ipc:///tmp/f4ec2491-0259-429c-9733-e7a2935116d1', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:40:13.9028347Z INFO 12-04 09:40:13 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:40:13.9216129Z INFO 12-04 09:40:13 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:40:19.1233533Z INFO 12-04 09:40:19 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_e2bd13c6'), local_subscribe_addr='ipc:///tmp/a9bd95be-daed-4f60-aa8e-6ed8799d2097', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:40:19.1729573Z INFO 12-04 09:40:19 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_fdb711f5'), local_subscribe_addr='ipc:///tmp/25571476-0b73-494b-83d1-901f3ba165a5', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:40:19.3328513Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:40:19.3329658Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:40:19.3372131Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:40:19.3373344Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:40:19.3414785Z INFO 12-04 09:40:19 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:40:19.3417037Z INFO 12-04 09:40:19 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:40:19.3429470Z INFO 12-04 09:40:19 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:40:19.3431970Z INFO 12-04 09:40:19 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:40:19.5162291Z WARNING 12-04 09:40:19 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:40:19.5163982Z WARNING 12-04 09:40:19 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:40:19.5183998Z INFO 12-04 09:40:19 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:40:19.5186035Z WARNING 12-04 09:40:19 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:40:19.5187774Z INFO 12-04 09:40:19 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:40:19.5188785Z WARNING 12-04 09:40:19 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:40:19.5827926Z INFO 12-04 09:40:19 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_0f8e9be5'), local_subscribe_addr='ipc:///tmp/ae4409fd-d170-49e5-844a-aa97c124b59b', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:40:19.5862925Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:40:19.5864139Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:40:19.5869228Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:40:19.5877309Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:40:19.6625255Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:40:19.6639311Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:40:19.6651184Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:40:19.6651831Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:40:19.6653391Z INFO 12-04 09:40:19 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:40:19.6653852Z INFO 12-04 09:40:19 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:40:19.6654611Z INFO 12-04 09:40:19 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:40:19.6655047Z INFO 12-04 09:40:19 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:40:19.6991101Z INFO 12-04 09:40:19 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:40:19.6991844Z INFO 12-04 09:40:19 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:40:19.9317913Z INFO 12-04 09:40:19 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:40:19.9629167Z (Worker_TP1 pid=21131) INFO 12-04 09:40:19 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:40:19.9648121Z INFO 12-04 09:40:19 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:40:19.9981572Z (Worker_TP0 pid=21130) INFO 12-04 09:40:19 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:40:20.1690946Z (Worker_TP1 pid=21131) INFO 12-04 09:40:20 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:40:20.2385297Z (Worker_TP0 pid=21130) INFO 12-04 09:40:20 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:40:20.2566037Z (Worker_TP1 pid=21131) INFO 12-04 09:40:20 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:40:20.3271733Z (Worker_TP0 pid=21130) INFO 12-04 09:40:20 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:40:20.7570104Z (Worker_TP1 pid=21131) INFO 12-04 09:40:20 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.164581 seconds 2025-12-04T09:40:20.8659741Z (Worker_TP0 pid=21130) INFO 12-04 09:40:20 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.166215 seconds 2025-12-04T09:40:24.4742478Z (Worker_TP1 pid=21131) INFO 12-04 09:40:24 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/0324c17727/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:40:24.4747296Z (Worker_TP1 pid=21131) INFO 12-04 09:40:24 [backends.py:608] Dynamo bytecode transform time: 3.37 s 2025-12-04T09:40:24.6044010Z (Worker_TP0 pid=21130) INFO 12-04 09:40:24 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/0324c17727/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:40:24.6050915Z (Worker_TP0 pid=21130) INFO 12-04 09:40:24 [backends.py:608] Dynamo bytecode transform time: 3.45 s 2025-12-04T09:40:25.5989239Z (Worker_TP1 pid=21131) INFO 12-04 09:40:25 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.925 s 2025-12-04T09:40:25.7006010Z (Worker_TP0 pid=21130) INFO 12-04 09:40:25 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.895 s 2025-12-04T09:40:26.2151315Z (Worker_TP0 pid=21130) INFO 12-04 09:40:26 [monitor.py:33] torch.compile takes 3.45 s in total 2025-12-04T09:40:26.2152811Z (Worker_TP1 pid=21131) INFO 12-04 09:40:26 [monitor.py:33] torch.compile takes 3.37 s in total 2025-12-04T09:40:26.9602888Z (Worker_TP0 pid=21130) INFO 12-04 09:40:26 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:40:26.9640180Z (Worker_TP1 pid=21131) INFO 12-04 09:40:26 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:40:27.2248750Z (EngineCore_DP0 pid=21011) INFO 12-04 09:40:27 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,720 tokens 2025-12-04T09:40:27.2249714Z (EngineCore_DP0 pid=21011) INFO 12-04 09:40:27 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.12x 2025-12-04T09:40:27.2250593Z (EngineCore_DP0 pid=21011) INFO 12-04 09:40:27 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,720 tokens 2025-12-04T09:40:27.2251421Z (EngineCore_DP0 pid=21011) INFO 12-04 09:40:27 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.12x 2025-12-04T09:40:27.4973569Z (Worker_TP0 pid=21130) 2025-12-04T09:40:27.6193489Z Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0% 0/5 [00:00, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [16, 8, 4, 2], 'cudagraph_copy_inputs': False, 'full_cuda_graph': True, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 16, 'local_cache_dir': None} 2025-12-04T09:40:49.1260741Z (EngineCore_DP0 pid=21513) 2025-12-04 09:40:49,125 INFO worker.py:1918 -- Started a local Ray instance. View the dashboard at http://127.0.0.1:8265  2025-12-04T09:40:50.2111153Z (EngineCore_DP0 pid=21513) INFO 12-04 09:40:50 [ray_utils.py:373] No current placement group found. Creating a new placement group. 2025-12-04T09:40:50.3873330Z (EngineCore_DP0 pid=21513) INFO 12-04 09:40:50 [ray_distributed_executor.py:179] use_ray_spmd_worker: True 2025-12-04T09:40:53.4872162Z (EngineCore_DP0 pid=21513) (pid=22396) INFO 12-04 09:40:53 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:40:55.1541008Z (EngineCore_DP0 pid=21513) INFO 12-04 09:40:55 [ray_env.py:67] RAY_NON_CARRY_OVER_ENV_VARS from config: set() 2025-12-04T09:40:55.1542378Z (EngineCore_DP0 pid=21513) INFO 12-04 09:40:55 [ray_env.py:70] Copying the following environment variables to workers: ['HF_TOKEN', 'MAX_JOBS', 'VLLM_USE_RAY_COMPILED_DAG', 'VLLM_WORKER_MULTIPROC_METHOD', 'HUGGING_FACE_HUB_TOKEN', 'VLLM_USE_RAY_SPMD_WORKER', 'LD_LIBRARY_PATH', 'VLLM_USE_V1'] 2025-12-04T09:40:55.1544058Z (EngineCore_DP0 pid=21513) INFO 12-04 09:40:55 [ray_env.py:75] If certain env vars should NOT be copied, add them to /var/lib/jenkins/.config/vllm/ray_non_carry_over_env_vars.json file 2025-12-04T09:40:58.7930110Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22396) WARNING 12-04 09:40:58 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. 2025-12-04T09:40:58.7932029Z (EngineCore_DP0 pid=21513) (pid=22400) INFO 12-04 09:40:53 [__init__.py:224] Automatically detected platform cuda. [repeated 3x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.) 2025-12-04T09:40:59.9226798Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22396) [Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:41:00.0282357Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22396) INFO 12-04 09:40:59 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:41:00.0283600Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22396) INFO 12-04 09:40:59 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:41:00.3377853Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22396) WARNING 12-04 09:41:00 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:41:00.3379568Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22396) INFO 12-04 09:41:00 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:41:00.3381223Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22396) WARNING 12-04 09:41:00 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:41:00.3383606Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22396) INFO 12-04 09:41:00 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_94304dbc'), local_subscribe_addr='ipc:///tmp/a3b8e135-df1b-4fec-bc2a-4559cad2623c', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:41:00.4441137Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22396) INFO 12-04 09:41:00 [parallel_state.py:1231] rank 0 in world size 4 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:41:00.7563022Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22396) INFO 12-04 09:41:00 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:41:00.9658366Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22396) INFO 12-04 09:41:00 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:41:00.9659981Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22396) INFO 12-04 09:41:00 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:41:01.0719255Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22396) INFO 12-04 09:41:01 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:41:01.5920652Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22402) INFO 12-04 09:41:01 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.154415 seconds 2025-12-04T09:41:04.0520956Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22402) INFO 12-04 09:41:03 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/918ac42dc5/rank_3_0/backbone for vLLM's torch.compile 2025-12-04T09:41:04.0522185Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22402) INFO 12-04 09:41:03 [backends.py:608] Dynamo bytecode transform time: 2.09 s 2025-12-04T09:41:04.0523395Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22402) WARNING 12-04 09:40:59 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. [repeated 3x across cluster] 2025-12-04T09:41:04.6685775Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22402) INFO 12-04 09:41:04 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.399 s 2025-12-04T09:41:05.6937488Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22396) INFO 12-04 09:41:05 [gpu_worker.py:314] Available KV cache memory: 19.02 GiB 2025-12-04T09:41:05.6938874Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22400) [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 [repeated 23x across cluster] 2025-12-04T09:41:05.6940534Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22400) INFO 12-04 09:41:00 [__init__.py:1146] Found nccl from library libnccl.so.2 [repeated 11x across cluster] 2025-12-04T09:41:05.6941527Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22400) INFO 12-04 09:41:00 [pynccl.py:109] vLLM is using nccl==2.27.5 [repeated 11x across cluster] 2025-12-04T09:41:05.6942689Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22400) WARNING 12-04 09:41:00 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. [repeated 3x across cluster] 2025-12-04T09:41:05.6943943Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22400) INFO 12-04 09:41:00 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. [repeated 3x across cluster] 2025-12-04T09:41:05.6945510Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22400) WARNING 12-04 09:41:00 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. [repeated 3x across cluster] 2025-12-04T09:41:05.6947452Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22400) INFO 12-04 09:41:00 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_f57893fe'), local_subscribe_addr='ipc:///tmp/7a102e1e-1114-4a7d-9f94-0cf58b8e8911', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:41:05.6949012Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22400) INFO 12-04 09:41:00 [parallel_state.py:1231] rank 2 in world size 4 is assigned as DP rank 0, PP rank 1, TP rank 0, EP rank 0 [repeated 3x across cluster] 2025-12-04T09:41:05.7984580Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22400) INFO 12-04 09:41:00 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. [repeated 3x across cluster] 2025-12-04T09:41:05.7986166Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22400) INFO 12-04 09:41:00 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... [repeated 3x across cluster] 2025-12-04T09:41:06.0409367Z (EngineCore_DP0 pid=21513) INFO 12-04 09:41:06 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:41:06.0410851Z (EngineCore_DP0 pid=21513) INFO 12-04 09:41:06 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:41:06.0411749Z (EngineCore_DP0 pid=21513) INFO 12-04 09:41:06 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:41:06.0412638Z (EngineCore_DP0 pid=21513) INFO 12-04 09:41:06 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:41:06.0413679Z (EngineCore_DP0 pid=21513) INFO 12-04 09:41:06 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:41:06.0414519Z (EngineCore_DP0 pid=21513) INFO 12-04 09:41:06 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:41:06.0415326Z (EngineCore_DP0 pid=21513) INFO 12-04 09:41:06 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:41:06.0416150Z (EngineCore_DP0 pid=21513) INFO 12-04 09:41:06 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:41:06.4142641Z (EngineCore_DP0 pid=21513) (RayWorkerWrapper pid=22396) 2025-12-04T09:41:06.4143287Z Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0%| | 0/4 [00:00, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [16, 8, 4, 2, 1], 'cudagraph_copy_inputs': False, 'full_cuda_graph': True, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 16, 'local_cache_dir': None} 2025-12-04T09:41:38.1299545Z (EngineCore_DP0 pid=27141) WARNING 12-04 09:41:38 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:41:38.1304695Z (EngineCore_DP0 pid=27141) INFO 12-04 09:41:38 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_9e3250b7'), local_subscribe_addr='ipc:///tmp/3e33ffe8-63f2-4cfa-842e-5432f99c59d9', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:41:41.0221730Z INFO 12-04 09:41:41 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:41:41.0476594Z INFO 12-04 09:41:41 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:41:46.1732292Z INFO 12-04 09:41:46 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_f1a95942'), local_subscribe_addr='ipc:///tmp/7a2efbfe-ab05-47d3-88ef-f6381004b12a', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:41:46.2227502Z INFO 12-04 09:41:46 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_5989a811'), local_subscribe_addr='ipc:///tmp/74a5e65c-add1-4f46-adfa-3da87fc5b456', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:41:47.1058501Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:41:47.1059913Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:41:47.1100669Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:41:47.1101325Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:41:47.1144116Z INFO 12-04 09:41:47 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:41:47.1146306Z INFO 12-04 09:41:47 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:41:47.1155208Z INFO 12-04 09:41:47 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:41:47.1157329Z INFO 12-04 09:41:47 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:41:47.2837598Z WARNING 12-04 09:41:47 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:41:47.2839393Z WARNING 12-04 09:41:47 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:41:47.2858969Z INFO 12-04 09:41:47 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:41:47.2860190Z INFO 12-04 09:41:47 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:41:47.2862139Z WARNING 12-04 09:41:47 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:41:47.2864807Z WARNING 12-04 09:41:47 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:41:47.3929389Z INFO 12-04 09:41:47 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_bf5816e4'), local_subscribe_addr='ipc:///tmp/68ecc642-3634-423a-8264-d2b39da0556c', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:41:47.3957979Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:41:47.3960060Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:41:47.3965208Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:41:47.3972378Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:41:47.4425914Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:41:47.4433033Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:41:47.4443595Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:41:47.4444776Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:41:47.4445820Z INFO 12-04 09:41:47 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:41:47.4446676Z INFO 12-04 09:41:47 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:41:47.4447477Z INFO 12-04 09:41:47 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:41:47.4448294Z INFO 12-04 09:41:47 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:41:47.4778401Z INFO 12-04 09:41:47 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:41:47.4779623Z INFO 12-04 09:41:47 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:41:47.7132308Z INFO 12-04 09:41:47 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:41:47.7368212Z INFO 12-04 09:41:47 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:41:47.7449749Z (Worker_TP0 pid=27260) INFO 12-04 09:41:47 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:41:47.7680223Z (Worker_TP1 pid=27261) INFO 12-04 09:41:47 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:41:47.9502730Z (Worker_TP0 pid=27260) INFO 12-04 09:41:47 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:41:48.0007448Z (Worker_TP1 pid=27261) INFO 12-04 09:41:48 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:41:48.0391071Z (Worker_TP0 pid=27260) INFO 12-04 09:41:48 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:41:48.0889473Z (Worker_TP1 pid=27261) INFO 12-04 09:41:48 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:41:48.5390713Z (Worker_TP0 pid=27260) INFO 12-04 09:41:48 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.165112 seconds 2025-12-04T09:41:48.6228223Z (Worker_TP1 pid=27261) INFO 12-04 09:41:48 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.164663 seconds 2025-12-04T09:41:52.3467350Z (Worker_TP0 pid=27260) INFO 12-04 09:41:52 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/0324c17727/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:41:52.3472147Z (Worker_TP0 pid=27260) INFO 12-04 09:41:52 [backends.py:608] Dynamo bytecode transform time: 3.48 s 2025-12-04T09:41:52.4553764Z (Worker_TP1 pid=27261) INFO 12-04 09:41:52 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/0324c17727/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:41:52.4560536Z (Worker_TP1 pid=27261) INFO 12-04 09:41:52 [backends.py:608] Dynamo bytecode transform time: 3.57 s 2025-12-04T09:41:53.4484318Z (Worker_TP0 pid=27260) INFO 12-04 09:41:53 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.904 s 2025-12-04T09:41:53.5612792Z (Worker_TP1 pid=27261) INFO 12-04 09:41:53 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.905 s 2025-12-04T09:41:54.0740562Z (Worker_TP1 pid=27261) INFO 12-04 09:41:54 [monitor.py:33] torch.compile takes 3.57 s in total 2025-12-04T09:41:54.0741384Z (Worker_TP0 pid=27260) INFO 12-04 09:41:54 [monitor.py:33] torch.compile takes 3.48 s in total 2025-12-04T09:41:54.7733040Z (Worker_TP0 pid=27260) INFO 12-04 09:41:54 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:41:54.8698267Z (Worker_TP1 pid=27261) INFO 12-04 09:41:54 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:41:55.1356604Z (EngineCore_DP0 pid=27141) INFO 12-04 09:41:55 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,720 tokens 2025-12-04T09:41:55.1357553Z (EngineCore_DP0 pid=27141) INFO 12-04 09:41:55 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.12x 2025-12-04T09:41:55.1358461Z (EngineCore_DP0 pid=27141) INFO 12-04 09:41:55 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,720 tokens 2025-12-04T09:41:55.1359398Z (EngineCore_DP0 pid=27141) INFO 12-04 09:41:55 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.12x 2025-12-04T09:41:55.3868060Z (Worker_TP0 pid=27260) 2025-12-04T09:41:55.4883892Z Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0% 0/5 [00:00, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [16, 8, 4, 2], 'cudagraph_copy_inputs': False, 'full_cuda_graph': True, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 16, 'local_cache_dir': None} 2025-12-04T09:42:15.0277463Z (EngineCore_DP0 pid=27643) WARNING 12-04 09:42:15 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:42:15.0282053Z (EngineCore_DP0 pid=27643) INFO 12-04 09:42:15 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1, 2, 3], buffer_handle=(4, 16777216, 10, 'psm_c4eb3ae7'), local_subscribe_addr='ipc:///tmp/f5cd85e9-77ea-49aa-be88-589bd61a2478', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:42:18.0034457Z INFO 12-04 09:42:18 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:42:18.0327825Z INFO 12-04 09:42:18 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:42:18.0349029Z INFO 12-04 09:42:18 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:42:18.1046982Z INFO 12-04 09:42:18 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:42:23.3112539Z INFO 12-04 09:42:23 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_c05085d1'), local_subscribe_addr='ipc:///tmp/291cf726-0c23-40f5-8fa6-cb787a891dae', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:42:23.3230066Z INFO 12-04 09:42:23 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_4e7d03ae'), local_subscribe_addr='ipc:///tmp/7a9ec8e0-1f9b-4de9-88c9-14b2a92f822e', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:42:23.3232306Z INFO 12-04 09:42:23 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_b3b01ebc'), local_subscribe_addr='ipc:///tmp/154998d0-078c-4dbf-bb01-07791e80b4ea', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:42:23.4130072Z INFO 12-04 09:42:23 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_924735fe'), local_subscribe_addr='ipc:///tmp/9d3699ac-4df1-4afa-8663-0ebee31af413', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:42:24.1645101Z [Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:42:24.1645789Z [Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:42:24.1646237Z [Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:42:24.1646680Z [Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:42:24.1691066Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:42:24.1691698Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:42:24.1692403Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:42:24.1692936Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:42:24.1736012Z INFO 12-04 09:42:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:42:24.1738518Z INFO 12-04 09:42:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:42:24.1739899Z INFO 12-04 09:42:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:42:24.1740680Z INFO 12-04 09:42:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:42:24.1741481Z INFO 12-04 09:42:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:42:24.1743377Z INFO 12-04 09:42:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:42:24.1749377Z INFO 12-04 09:42:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:42:24.1751580Z INFO 12-04 09:42:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:42:24.3579804Z WARNING 12-04 09:42:24 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:42:24.3581412Z WARNING 12-04 09:42:24 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:42:24.3603547Z INFO 12-04 09:42:24 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:42:24.3604808Z INFO 12-04 09:42:24 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:42:24.3606130Z WARNING 12-04 09:42:24 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:42:24.3607539Z WARNING 12-04 09:42:24 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:42:24.3624133Z INFO 12-04 09:42:24 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_774942ea'), local_subscribe_addr='ipc:///tmp/30696d16-7848-4e9b-9a6b-3c260066d85c', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:42:24.4295468Z WARNING 12-04 09:42:24 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:42:24.4297093Z WARNING 12-04 09:42:24 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:42:24.4317210Z INFO 12-04 09:42:24 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:42:24.4318458Z INFO 12-04 09:42:24 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:42:24.4320528Z WARNING 12-04 09:42:24 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:42:24.4323185Z WARNING 12-04 09:42:24 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:42:24.4340153Z INFO 12-04 09:42:24 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_840b8a27'), local_subscribe_addr='ipc:///tmp/b8b7ce99-770c-43e2-9c2a-0ad07b618bac', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:42:24.4360584Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:42:24.4422305Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:42:24.4423447Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:42:24.4440733Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:42:24.4441906Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:42:24.4443493Z INFO 12-04 09:42:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:42:24.4444377Z INFO 12-04 09:42:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:42:24.4445212Z INFO 12-04 09:42:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:42:24.4445931Z INFO 12-04 09:42:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:42:24.4739054Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:42:24.4740100Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:42:24.5024144Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:42:24.5044775Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:42:24.5045992Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:42:24.5046595Z INFO 12-04 09:42:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:42:24.5047260Z INFO 12-04 09:42:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:42:24.5047689Z INFO 12-04 09:42:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:42:24.5048279Z INFO 12-04 09:42:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:42:24.5372828Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:42:24.5373597Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:42:24.5383447Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:42:24.5384196Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:42:24.5384748Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:42:24.5385280Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:42:24.5386355Z INFO 12-04 09:42:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:42:24.5386855Z INFO 12-04 09:42:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:42:24.5387752Z INFO 12-04 09:42:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:42:24.5388147Z INFO 12-04 09:42:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:42:24.5388733Z INFO 12-04 09:42:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:42:24.5389276Z INFO 12-04 09:42:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:42:24.5389783Z INFO 12-04 09:42:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:42:24.5390215Z INFO 12-04 09:42:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:42:24.5826346Z INFO 12-04 09:42:24 [parallel_state.py:1231] rank 0 in world size 4 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:42:24.5827146Z INFO 12-04 09:42:24 [parallel_state.py:1231] rank 1 in world size 4 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:42:24.5841843Z INFO 12-04 09:42:24 [parallel_state.py:1231] rank 2 in world size 4 is assigned as DP rank 0, PP rank 1, TP rank 0, EP rank 0 2025-12-04T09:42:24.5842700Z INFO 12-04 09:42:24 [parallel_state.py:1231] rank 3 in world size 4 is assigned as DP rank 0, PP rank 1, TP rank 1, EP rank 1 2025-12-04T09:42:24.8392708Z INFO 12-04 09:42:24 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:42:24.8479261Z INFO 12-04 09:42:24 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:42:24.8482991Z INFO 12-04 09:42:24 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:42:24.8663601Z INFO 12-04 09:42:24 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:42:24.8710853Z (Worker_PP1_TP1 pid=27765) INFO 12-04 09:42:24 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:42:24.8791759Z (Worker_PP1_TP0 pid=27764) INFO 12-04 09:42:24 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:42:24.8797019Z (Worker_PP0_TP0 pid=27762) INFO 12-04 09:42:24 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:42:24.8960408Z (Worker_PP0_TP1 pid=27763) INFO 12-04 09:42:24 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:42:25.0788473Z (Worker_PP1_TP1 pid=27765) INFO 12-04 09:42:25 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:42:25.1017806Z (Worker_PP1_TP0 pid=27764) INFO 12-04 09:42:25 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:42:25.1355254Z (Worker_PP0_TP0 pid=27762) INFO 12-04 09:42:25 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:42:25.1585840Z (Worker_PP0_TP1 pid=27763) INFO 12-04 09:42:25 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:42:25.1683024Z (Worker_PP1_TP1 pid=27765) INFO 12-04 09:42:25 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:42:25.1922498Z (Worker_PP1_TP0 pid=27764) INFO 12-04 09:42:25 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:42:25.2254454Z (Worker_PP0_TP0 pid=27762) INFO 12-04 09:42:25 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:42:25.2474003Z (Worker_PP0_TP1 pid=27763) INFO 12-04 09:42:25 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:42:25.6561409Z (Worker_PP1_TP1 pid=27765) INFO 12-04 09:42:25 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.155227 seconds 2025-12-04T09:42:25.6788738Z (Worker_PP1_TP0 pid=27764) INFO 12-04 09:42:25 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.155336 seconds 2025-12-04T09:42:25.7970175Z (Worker_PP0_TP0 pid=27762) INFO 12-04 09:42:25 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.154812 seconds 2025-12-04T09:42:25.8219702Z (Worker_PP0_TP1 pid=27763) INFO 12-04 09:42:25 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.151444 seconds 2025-12-04T09:42:28.0725303Z (Worker_PP1_TP1 pid=27765) INFO 12-04 09:42:28 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/918ac42dc5/rank_3_0/backbone for vLLM's torch.compile 2025-12-04T09:42:28.0731357Z (Worker_PP1_TP1 pid=27765) INFO 12-04 09:42:28 [backends.py:608] Dynamo bytecode transform time: 2.04 s 2025-12-04T09:42:28.1634466Z (Worker_PP1_TP0 pid=27764) INFO 12-04 09:42:28 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/918ac42dc5/rank_2_0/backbone for vLLM's torch.compile 2025-12-04T09:42:28.1640896Z (Worker_PP1_TP0 pid=27764) INFO 12-04 09:42:28 [backends.py:608] Dynamo bytecode transform time: 2.13 s 2025-12-04T09:42:28.2049455Z (Worker_PP0_TP1 pid=27763) INFO 12-04 09:42:28 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/728314b73b/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:42:28.2058073Z (Worker_PP0_TP1 pid=27763) INFO 12-04 09:42:28 [backends.py:608] Dynamo bytecode transform time: 2.12 s 2025-12-04T09:42:28.2384973Z (Worker_PP0_TP0 pid=27762) INFO 12-04 09:42:28 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/728314b73b/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:42:28.2392251Z (Worker_PP0_TP0 pid=27762) INFO 12-04 09:42:28 [backends.py:608] Dynamo bytecode transform time: 2.17 s 2025-12-04T09:42:28.6818155Z (Worker_PP1_TP1 pid=27765) INFO 12-04 09:42:28 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.398 s 2025-12-04T09:42:28.7565120Z (Worker_PP1_TP0 pid=27764) INFO 12-04 09:42:28 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.388 s 2025-12-04T09:42:28.8086362Z (Worker_PP0_TP1 pid=27763) INFO 12-04 09:42:28 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.393 s 2025-12-04T09:42:28.8571652Z (Worker_PP0_TP0 pid=27762) INFO 12-04 09:42:28 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.401 s 2025-12-04T09:42:29.6402546Z (Worker_PP1_TP0 pid=27764) INFO 12-04 09:42:29 [gpu_worker.py:314] Available KV cache memory: 18.99 GiB 2025-12-04T09:42:29.6933170Z (Worker_PP1_TP1 pid=27765) INFO 12-04 09:42:29 [gpu_worker.py:314] Available KV cache memory: 18.99 GiB 2025-12-04T09:42:29.7157749Z (Worker_PP0_TP0 pid=27762) INFO 12-04 09:42:29 [gpu_worker.py:314] Available KV cache memory: 19.02 GiB 2025-12-04T09:42:29.7493374Z (Worker_PP0_TP1 pid=27763) INFO 12-04 09:42:29 [gpu_worker.py:314] Available KV cache memory: 19.02 GiB 2025-12-04T09:42:30.0333251Z (EngineCore_DP0 pid=27643) INFO 12-04 09:42:30 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:42:30.0334367Z (EngineCore_DP0 pid=27643) INFO 12-04 09:42:30 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:42:30.0335263Z (EngineCore_DP0 pid=27643) INFO 12-04 09:42:30 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:42:30.0336100Z (EngineCore_DP0 pid=27643) INFO 12-04 09:42:30 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:42:30.0336954Z (EngineCore_DP0 pid=27643) INFO 12-04 09:42:30 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:42:30.0337787Z (EngineCore_DP0 pid=27643) INFO 12-04 09:42:30 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:42:30.0338585Z (EngineCore_DP0 pid=27643) INFO 12-04 09:42:30 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:42:30.0339630Z (EngineCore_DP0 pid=27643) INFO 12-04 09:42:30 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:42:30.3110814Z (Worker_PP0_TP0 pid=27762) 2025-12-04T09:42:32.3772006Z Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0% 0/4 [00:00, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [16, 8, 4, 2, 1], 'cudagraph_copy_inputs': False, 'full_cuda_graph': True, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 16, 'local_cache_dir': None} 2025-12-04T09:42:56.4977884Z (EngineCore_DP0 pid=28441) WARNING 12-04 09:42:56 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:42:56.4981330Z (EngineCore_DP0 pid=28441) INFO 12-04 09:42:56 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_1e1df2c0'), local_subscribe_addr='ipc:///tmp/d916d3ec-0c50-4704-b2e3-228d45817d4d', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:42:59.4612825Z INFO 12-04 09:42:59 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:42:59.4801787Z INFO 12-04 09:42:59 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:43:04.6835844Z INFO 12-04 09:43:04 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_cf6af31f'), local_subscribe_addr='ipc:///tmp/415551c7-4376-465c-947c-61e128d0a209', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:43:04.7028921Z INFO 12-04 09:43:04 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_bef71496'), local_subscribe_addr='ipc:///tmp/53607ef6-b9f7-446e-be7f-583c2a0b4095', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:43:04.8893222Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:43:04.8894279Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:43:04.8940463Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:43:04.8942235Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:43:04.8995816Z INFO 12-04 09:43:04 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:43:04.8998801Z INFO 12-04 09:43:04 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:43:04.9004477Z INFO 12-04 09:43:04 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:43:04.9005711Z INFO 12-04 09:43:04 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:43:05.0868207Z WARNING 12-04 09:43:05 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:43:05.0869086Z WARNING 12-04 09:43:05 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:43:05.0891779Z INFO 12-04 09:43:05 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:43:05.0892441Z INFO 12-04 09:43:05 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:43:05.0893478Z WARNING 12-04 09:43:05 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:43:05.0894862Z WARNING 12-04 09:43:05 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:43:05.1829638Z INFO 12-04 09:43:05 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_284de37f'), local_subscribe_addr='ipc:///tmp/7ce0fc3a-3b6f-42b3-83fd-136705e7bd4d', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:43:05.1857614Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:43:05.1859235Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:43:05.1865899Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:43:05.1873888Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:43:05.2526312Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:43:05.2537201Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:43:05.2548998Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:43:05.2549611Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:43:05.2552273Z INFO 12-04 09:43:05 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:43:05.2552898Z INFO 12-04 09:43:05 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:43:05.2553367Z INFO 12-04 09:43:05 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:43:05.2556094Z INFO 12-04 09:43:05 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:43:05.2877427Z INFO 12-04 09:43:05 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:43:05.2878181Z INFO 12-04 09:43:05 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:43:05.5299057Z INFO 12-04 09:43:05 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:43:05.5581790Z INFO 12-04 09:43:05 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:43:05.5627875Z (Worker_TP1 pid=28561) INFO 12-04 09:43:05 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:43:05.5911563Z (Worker_TP0 pid=28560) INFO 12-04 09:43:05 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:43:05.7792078Z (Worker_TP1 pid=28561) INFO 12-04 09:43:05 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:43:05.8236634Z (Worker_TP0 pid=28560) INFO 12-04 09:43:05 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:43:05.8676235Z (Worker_TP1 pid=28561) INFO 12-04 09:43:05 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:43:05.9125480Z (Worker_TP0 pid=28560) INFO 12-04 09:43:05 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:43:06.3749301Z (Worker_TP1 pid=28561) INFO 12-04 09:43:06 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.168523 seconds 2025-12-04T09:43:06.4522629Z (Worker_TP0 pid=28560) INFO 12-04 09:43:06 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.167178 seconds 2025-12-04T09:43:10.1231559Z (Worker_TP1 pid=28561) INFO 12-04 09:43:10 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/0324c17727/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:43:10.1237303Z (Worker_TP1 pid=28561) INFO 12-04 09:43:10 [backends.py:608] Dynamo bytecode transform time: 3.40 s 2025-12-04T09:43:10.1610781Z (Worker_TP0 pid=28560) INFO 12-04 09:43:10 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/0324c17727/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:43:10.1617814Z (Worker_TP0 pid=28560) INFO 12-04 09:43:10 [backends.py:608] Dynamo bytecode transform time: 3.42 s 2025-12-04T09:43:11.2568669Z (Worker_TP1 pid=28561) INFO 12-04 09:43:11 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.931 s 2025-12-04T09:43:11.2719935Z (Worker_TP0 pid=28560) INFO 12-04 09:43:11 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.910 s 2025-12-04T09:43:11.8856359Z (Worker_TP0 pid=28560) INFO 12-04 09:43:11 [monitor.py:33] torch.compile takes 3.42 s in total 2025-12-04T09:43:11.8860223Z (Worker_TP1 pid=28561) INFO 12-04 09:43:11 [monitor.py:33] torch.compile takes 3.40 s in total 2025-12-04T09:43:12.6304389Z (Worker_TP1 pid=28561) INFO 12-04 09:43:12 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:43:12.6409726Z (Worker_TP0 pid=28560) INFO 12-04 09:43:12 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:43:12.9053449Z (EngineCore_DP0 pid=28441) INFO 12-04 09:43:12 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,720 tokens 2025-12-04T09:43:12.9054409Z (EngineCore_DP0 pid=28441) INFO 12-04 09:43:12 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.12x 2025-12-04T09:43:12.9055302Z (EngineCore_DP0 pid=28441) INFO 12-04 09:43:12 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,720 tokens 2025-12-04T09:43:12.9056135Z (EngineCore_DP0 pid=28441) INFO 12-04 09:43:12 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.12x 2025-12-04T09:43:13.1789723Z (Worker_TP0 pid=28560) 2025-12-04T09:43:13.3015471Z Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0% 0/5 [00:00, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [16, 8, 4, 2], 'cudagraph_copy_inputs': False, 'full_cuda_graph': True, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 16, 'local_cache_dir': None} 2025-12-04T09:43:35.3635580Z (EngineCore_DP0 pid=28943) 2025-12-04 09:43:35,362 INFO worker.py:1918 -- Started a local Ray instance. View the dashboard at http://127.0.0.1:8265  2025-12-04T09:43:36.4485566Z (EngineCore_DP0 pid=28943) INFO 12-04 09:43:36 [ray_utils.py:373] No current placement group found. Creating a new placement group. 2025-12-04T09:43:36.6278786Z (EngineCore_DP0 pid=28943) INFO 12-04 09:43:36 [ray_distributed_executor.py:179] use_ray_spmd_worker: True 2025-12-04T09:43:39.7270582Z (EngineCore_DP0 pid=28943) (pid=29829) INFO 12-04 09:43:39 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:43:41.4662142Z (EngineCore_DP0 pid=28943) INFO 12-04 09:43:41 [ray_env.py:67] RAY_NON_CARRY_OVER_ENV_VARS from config: set() 2025-12-04T09:43:41.4663752Z (EngineCore_DP0 pid=28943) INFO 12-04 09:43:41 [ray_env.py:70] Copying the following environment variables to workers: ['VLLM_USE_RAY_SPMD_WORKER', 'VLLM_USE_RAY_COMPILED_DAG', 'HF_TOKEN', 'HUGGING_FACE_HUB_TOKEN', 'MAX_JOBS', 'VLLM_WORKER_MULTIPROC_METHOD', 'VLLM_USE_V1', 'LD_LIBRARY_PATH'] 2025-12-04T09:43:41.4665387Z (EngineCore_DP0 pid=28943) INFO 12-04 09:43:41 [ray_env.py:75] If certain env vars should NOT be copied, add them to /var/lib/jenkins/.config/vllm/ray_non_carry_over_env_vars.json file 2025-12-04T09:43:45.0363285Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29832) WARNING 12-04 09:43:45 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. 2025-12-04T09:43:45.0365993Z (EngineCore_DP0 pid=28943) (pid=29828) INFO 12-04 09:43:39 [__init__.py:224] Automatically detected platform cuda. [repeated 3x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.) 2025-12-04T09:43:45.7564069Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29832) [Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:43:45.8621963Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29832) INFO 12-04 09:43:45 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:43:45.8622861Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29832) INFO 12-04 09:43:45 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:43:46.1717238Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29832) WARNING 12-04 09:43:46 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:43:46.1719541Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29832) INFO 12-04 09:43:46 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:43:46.1721685Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29832) WARNING 12-04 09:43:46 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:43:46.1724064Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29832) INFO 12-04 09:43:46 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_3e4bc16d'), local_subscribe_addr='ipc:///tmp/5f6887ec-7b17-40c0-bc0f-47d4f5528509', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:43:46.2771362Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29832) INFO 12-04 09:43:46 [parallel_state.py:1231] rank 0 in world size 4 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:43:46.5864198Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29832) INFO 12-04 09:43:46 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:43:46.5865469Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29832) INFO 12-04 09:43:46 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:43:46.8959740Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29832) INFO 12-04 09:43:46 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:43:47.0015696Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29832) INFO 12-04 09:43:46 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:43:47.5148588Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29832) INFO 12-04 09:43:47 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.155235 seconds 2025-12-04T09:43:49.9653212Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29828) INFO 12-04 09:43:49 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/728314b73b/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:43:49.9655404Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29828) INFO 12-04 09:43:49 [backends.py:608] Dynamo bytecode transform time: 2.18 s 2025-12-04T09:43:50.0702567Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29835) WARNING 12-04 09:43:45 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. [repeated 3x across cluster] 2025-12-04T09:43:50.5822084Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29828) INFO 12-04 09:43:50 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.419 s 2025-12-04T09:43:51.5051720Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29828) INFO 12-04 09:43:51 [gpu_worker.py:314] Available KV cache memory: 19.02 GiB 2025-12-04T09:43:51.5053072Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29835) [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 [repeated 23x across cluster] 2025-12-04T09:43:51.5054386Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29835) INFO 12-04 09:43:46 [__init__.py:1146] Found nccl from library libnccl.so.2 [repeated 11x across cluster] 2025-12-04T09:43:51.5055665Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29835) INFO 12-04 09:43:46 [pynccl.py:109] vLLM is using nccl==2.27.5 [repeated 11x across cluster] 2025-12-04T09:43:51.5056854Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29835) WARNING 12-04 09:43:46 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. [repeated 3x across cluster] 2025-12-04T09:43:51.5058093Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29835) INFO 12-04 09:43:46 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. [repeated 3x across cluster] 2025-12-04T09:43:51.5059600Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29835) WARNING 12-04 09:43:46 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. [repeated 3x across cluster] 2025-12-04T09:43:51.5062123Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29829) INFO 12-04 09:43:46 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_11d3ba62'), local_subscribe_addr='ipc:///tmp/cfe94dce-ee84-465d-a8dd-c2d8cf65198b', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:43:51.5063693Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29835) INFO 12-04 09:43:46 [parallel_state.py:1231] rank 3 in world size 4 is assigned as DP rank 0, PP rank 1, TP rank 1, EP rank 1 [repeated 3x across cluster] 2025-12-04T09:43:51.6113210Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29835) INFO 12-04 09:43:46 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. [repeated 3x across cluster] 2025-12-04T09:43:51.6114964Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29835) INFO 12-04 09:43:46 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... [repeated 3x across cluster] 2025-12-04T09:43:51.8415477Z (EngineCore_DP0 pid=28943) INFO 12-04 09:43:51 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:43:51.8416440Z (EngineCore_DP0 pid=28943) INFO 12-04 09:43:51 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:43:51.8417273Z (EngineCore_DP0 pid=28943) INFO 12-04 09:43:51 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:43:51.8418100Z (EngineCore_DP0 pid=28943) INFO 12-04 09:43:51 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:43:51.8418928Z (EngineCore_DP0 pid=28943) INFO 12-04 09:43:51 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:43:51.8419785Z (EngineCore_DP0 pid=28943) INFO 12-04 09:43:51 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:43:51.8421033Z (EngineCore_DP0 pid=28943) INFO 12-04 09:43:51 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:43:51.8421915Z (EngineCore_DP0 pid=28943) INFO 12-04 09:43:51 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:43:52.2259321Z (EngineCore_DP0 pid=28943) (RayWorkerWrapper pid=29832) 2025-12-04T09:43:52.2260344Z Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0%| | 0/4 [00:00, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [16, 8, 4, 2, 1], 'cudagraph_copy_inputs': False, 'full_cuda_graph': True, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 16, 'local_cache_dir': None} 2025-12-04T09:44:15.8293957Z (EngineCore_DP0 pid=33857) WARNING 12-04 09:44:15 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:44:15.8297722Z (EngineCore_DP0 pid=33857) INFO 12-04 09:44:15 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_54380ed3'), local_subscribe_addr='ipc:///tmp/6e81eb21-4f5f-419a-bbbd-df75b0fb54a5', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:44:18.7202929Z INFO 12-04 09:44:18 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:44:18.7772277Z INFO 12-04 09:44:18 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:44:23.8935285Z INFO 12-04 09:44:23 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_5c2bf22a'), local_subscribe_addr='ipc:///tmp/24588cfa-9a91-426d-94a0-7448f040a457', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:44:23.9329429Z INFO 12-04 09:44:23 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_97094b70'), local_subscribe_addr='ipc:///tmp/539aadb8-9229-491e-8976-312af792d74f', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:44:24.1090255Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:44:24.1092097Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:44:24.1137330Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:44:24.1138444Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:44:24.1181660Z INFO 12-04 09:44:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:44:24.1183320Z INFO 12-04 09:44:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:44:24.1189492Z INFO 12-04 09:44:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:44:24.1190942Z INFO 12-04 09:44:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:44:24.2890254Z WARNING 12-04 09:44:24 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:44:24.2890987Z WARNING 12-04 09:44:24 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:44:24.2912128Z INFO 12-04 09:44:24 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:44:24.2913615Z WARNING 12-04 09:44:24 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:44:24.2914848Z INFO 12-04 09:44:24 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:44:24.2916115Z WARNING 12-04 09:44:24 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:44:24.3730076Z INFO 12-04 09:44:24 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_04fa3a7d'), local_subscribe_addr='ipc:///tmp/2dec4f83-05e8-403c-913e-d8573ca6f48c', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:44:24.3753163Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:44:24.3754737Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:44:24.3761616Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:44:24.3770448Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:44:24.4526521Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:44:24.4533924Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:44:24.4543645Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:44:24.4544115Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:44:24.4546244Z INFO 12-04 09:44:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:44:24.4546841Z INFO 12-04 09:44:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:44:24.4547288Z INFO 12-04 09:44:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:44:24.4547626Z INFO 12-04 09:44:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:44:24.4883422Z INFO 12-04 09:44:24 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:44:24.4884172Z INFO 12-04 09:44:24 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:44:24.7105948Z INFO 12-04 09:44:24 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:44:24.7426992Z (Worker_TP1 pid=33977) INFO 12-04 09:44:24 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:44:24.7447194Z INFO 12-04 09:44:24 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:44:24.7772910Z (Worker_TP0 pid=33976) INFO 12-04 09:44:24 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:44:24.9519875Z (Worker_TP1 pid=33977) INFO 12-04 09:44:24 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:44:25.0140863Z (Worker_TP0 pid=33976) INFO 12-04 09:44:25 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:44:25.0389318Z (Worker_TP1 pid=33977) INFO 12-04 09:44:25 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:44:25.1032728Z (Worker_TP0 pid=33976) INFO 12-04 09:44:25 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:44:25.5379245Z (Worker_TP1 pid=33977) INFO 12-04 09:44:25 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.165294 seconds 2025-12-04T09:44:25.6489027Z (Worker_TP0 pid=33976) INFO 12-04 09:44:25 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.166224 seconds 2025-12-04T09:44:29.2068526Z (Worker_TP1 pid=33977) INFO 12-04 09:44:29 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/0324c17727/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:44:29.2073747Z (Worker_TP1 pid=33977) INFO 12-04 09:44:29 [backends.py:608] Dynamo bytecode transform time: 3.32 s 2025-12-04T09:44:29.3594138Z (Worker_TP0 pid=33976) INFO 12-04 09:44:29 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/0324c17727/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:44:29.3600712Z (Worker_TP0 pid=33976) INFO 12-04 09:44:29 [backends.py:608] Dynamo bytecode transform time: 3.44 s 2025-12-04T09:44:30.3113828Z (Worker_TP1 pid=33977) INFO 12-04 09:44:30 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.907 s 2025-12-04T09:44:30.4740648Z (Worker_TP0 pid=33976) INFO 12-04 09:44:30 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.916 s 2025-12-04T09:44:30.9366849Z (Worker_TP1 pid=33977) INFO 12-04 09:44:30 [monitor.py:33] torch.compile takes 3.32 s in total 2025-12-04T09:44:30.9367642Z (Worker_TP0 pid=33976) INFO 12-04 09:44:30 [monitor.py:33] torch.compile takes 3.44 s in total 2025-12-04T09:44:31.6871801Z (Worker_TP0 pid=33976) INFO 12-04 09:44:31 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:44:31.7407137Z (Worker_TP1 pid=33977) INFO 12-04 09:44:31 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:44:31.9834050Z (EngineCore_DP0 pid=33857) INFO 12-04 09:44:31 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,720 tokens 2025-12-04T09:44:31.9835053Z (EngineCore_DP0 pid=33857) INFO 12-04 09:44:31 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.12x 2025-12-04T09:44:31.9836036Z (EngineCore_DP0 pid=33857) INFO 12-04 09:44:31 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,720 tokens 2025-12-04T09:44:31.9836886Z (EngineCore_DP0 pid=33857) INFO 12-04 09:44:31 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.12x 2025-12-04T09:44:32.2602906Z (Worker_TP0 pid=33976) 2025-12-04T09:44:32.3826295Z Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0% 0/5 [00:00, 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:44:51.7977565Z (EngineCore_DP0 pid=34359) WARNING 12-04 09:44:51 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:44:51.7982960Z (EngineCore_DP0 pid=34359) INFO 12-04 09:44:51 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_09ba44ba'), local_subscribe_addr='ipc:///tmp/73a69b24-d046-437f-a451-d43bf8c3685a', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:44:54.7218084Z INFO 12-04 09:44:54 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:44:54.7258758Z INFO 12-04 09:44:54 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:44:59.8636812Z INFO 12-04 09:44:59 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_0a5653e1'), local_subscribe_addr='ipc:///tmp/650a80fc-509a-4d0d-bfdd-c7ef51b96eeb', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:44:59.9131162Z INFO 12-04 09:44:59 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_0f7db994'), local_subscribe_addr='ipc:///tmp/edff09a9-1206-452b-879e-6b8ae7f5a6b2', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:45:00.0697607Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:45:00.0699351Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:45:00.0748902Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:45:00.0749503Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:45:00.0793335Z INFO 12-04 09:45:00 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:45:00.0795476Z INFO 12-04 09:45:00 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:45:00.0799430Z INFO 12-04 09:45:00 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:45:00.0801052Z INFO 12-04 09:45:00 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:45:00.2521342Z WARNING 12-04 09:45:00 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:45:00.2522205Z WARNING 12-04 09:45:00 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:45:00.2543786Z INFO 12-04 09:45:00 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:45:00.2544404Z INFO 12-04 09:45:00 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:45:00.2545434Z WARNING 12-04 09:45:00 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:45:00.2546834Z WARNING 12-04 09:45:00 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:45:00.3529748Z INFO 12-04 09:45:00 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_6bdc826e'), local_subscribe_addr='ipc:///tmp/411123e2-8b3a-49d7-bf5a-8b9192d0d6fb', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:45:00.3561492Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:45:00.3562375Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:45:00.3570204Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:45:00.3577431Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:45:00.3925532Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:45:00.3937858Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:45:00.3948233Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:45:00.3948976Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:45:00.3951021Z INFO 12-04 09:45:00 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:45:00.3951651Z INFO 12-04 09:45:00 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:45:00.3952252Z INFO 12-04 09:45:00 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:45:00.3952699Z INFO 12-04 09:45:00 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:45:00.4285501Z INFO 12-04 09:45:00 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:45:00.4286286Z INFO 12-04 09:45:00 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:45:00.6747099Z INFO 12-04 09:45:00 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:45:00.6754693Z INFO 12-04 09:45:00 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:45:00.7079490Z (Worker_TP0 pid=34478) INFO 12-04 09:45:00 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:45:00.7080518Z (Worker_TP1 pid=34479) INFO 12-04 09:45:00 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:45:00.9194499Z (Worker_TP1 pid=34479) INFO 12-04 09:45:00 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:45:00.9386372Z (Worker_TP0 pid=34478) INFO 12-04 09:45:00 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:45:01.0090435Z (Worker_TP1 pid=34479) INFO 12-04 09:45:01 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:45:01.0286444Z (Worker_TP0 pid=34478) INFO 12-04 09:45:01 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:45:01.5068280Z (Worker_TP1 pid=34479) INFO 12-04 09:45:01 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.167750 seconds 2025-12-04T09:45:01.5648998Z (Worker_TP0 pid=34478) INFO 12-04 09:45:01 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.167511 seconds 2025-12-04T09:45:04.7842856Z (Worker_TP1 pid=34479) INFO 12-04 09:45:04 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/4ca8136fbc/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:45:04.7851835Z (Worker_TP1 pid=34479) INFO 12-04 09:45:04 [backends.py:608] Dynamo bytecode transform time: 2.98 s 2025-12-04T09:45:04.8604477Z (Worker_TP0 pid=34478) INFO 12-04 09:45:04 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/4ca8136fbc/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:45:04.8614983Z (Worker_TP0 pid=34478) INFO 12-04 09:45:04 [backends.py:608] Dynamo bytecode transform time: 3.03 s 2025-12-04T09:45:05.8740278Z (Worker_TP1 pid=34479) INFO 12-04 09:45:05 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.814 s 2025-12-04T09:45:05.9193474Z (Worker_TP0 pid=34478) INFO 12-04 09:45:05 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.782 s 2025-12-04T09:45:07.2668656Z (Worker_TP0 pid=34478) INFO 12-04 09:45:07 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:45:07.2969265Z (Worker_TP1 pid=34479) INFO 12-04 09:45:07 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:45:07.5359833Z (EngineCore_DP0 pid=34359) INFO 12-04 09:45:07 [kv_cache_utils.py:1199] GPU KV cache size: 1,215,232 tokens 2025-12-04T09:45:07.5360768Z (EngineCore_DP0 pid=34359) INFO 12-04 09:45:07 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.38x 2025-12-04T09:45:07.5361663Z (EngineCore_DP0 pid=34359) INFO 12-04 09:45:07 [kv_cache_utils.py:1199] GPU KV cache size: 1,215,232 tokens 2025-12-04T09:45:07.5362512Z (EngineCore_DP0 pid=34359) INFO 12-04 09:45:07 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.38x 2025-12-04T09:45:07.5428825Z (Worker_TP1 pid=34479) INFO 12-04 09:45:07 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:45:07.5429595Z (Worker_TP0 pid=34478) INFO 12-04 09:45:07 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:45:10.2265737Z (Worker_TP0 pid=34478) INFO 12-04 09:45:10 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 2.683 s 2025-12-04T09:45:10.3577498Z (Worker_TP1 pid=34479) INFO 12-04 09:45:10 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 2.814 s 2025-12-04T09:45:10.3584483Z (Worker_TP0 pid=34478) INFO 12-04 09:45:10 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T09:45:10.3585567Z (Worker_TP1 pid=34479) INFO 12-04 09:45:10 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T09:45:10.8101454Z (Worker_TP1 pid=34479) INFO 12-04 09:45:10 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 0.451 s 2025-12-04T09:45:10.8102349Z (Worker_TP1 pid=34479) INFO 12-04 09:45:10 [monitor.py:33] torch.compile takes 2.98 s in total 2025-12-04T09:45:10.8115502Z (Worker_TP0 pid=34478) INFO 12-04 09:45:10 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 0.453 s 2025-12-04T09:45:10.8116359Z (Worker_TP0 pid=34478) INFO 12-04 09:45:10 [monitor.py:33] torch.compile takes 3.03 s in total 2025-12-04T09:45:10.8243538Z (EngineCore_DP0 pid=34359) INFO 12-04 09:45:10 [core.py:240] init engine (profile, create kv cache, warmup model) took 9.22 seconds 2025-12-04T09:45:11.3231326Z (EngineCore_DP0 pid=34359) INFO 12-04 09:45:11 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:45:11.5089738Z (APIServer pid=34237) INFO 12-04 09:45:11 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 75952 2025-12-04T09:45:11.5206414Z (EngineCore_DP0 pid=34359) INFO 12-04 09:45:11 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:45:11.5417135Z (APIServer pid=34237) INFO 12-04 09:45:11 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:45:11.6694033Z (APIServer pid=34237) WARNING 12-04 09:45:11 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:45:11.6695940Z (APIServer pid=34237) INFO 12-04 09:45:11 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:45:11.7013058Z (APIServer pid=34237) INFO 12-04 09:45:11 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:45:11.7687905Z (APIServer pid=34237) INFO 12-04 09:45:11 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:45:11.7688923Z (APIServer pid=34237) INFO 12-04 09:45:11 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:41683 2025-12-04T09:45:11.7689625Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:38] Available routes are: 2025-12-04T09:45:11.7690314Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD 2025-12-04T09:45:11.7691024Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /docs, Methods: GET, HEAD 2025-12-04T09:45:11.7691752Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD 2025-12-04T09:45:11.7692452Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /redoc, Methods: GET, HEAD 2025-12-04T09:45:11.7693040Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:45:11.7693542Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:45:11.7694045Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:45:11.7694543Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:45:11.7695051Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:45:11.7695585Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:45:11.7696331Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:45:11.7696855Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:45:11.7697392Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:45:11.7697974Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:45:11.7698592Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:45:11.7699197Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:45:11.7699757Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:45:11.7700310Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:45:11.7700841Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:45:11.7701359Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:45:11.7701862Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:45:11.7702367Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:45:11.7702931Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:45:11.7703515Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:45:11.7704177Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:45:11.7704689Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:45:11.7705205Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:45:11.7705755Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:45:11.7706315Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:45:11.7706864Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:45:11.7707377Z (APIServer pid=34237) INFO 12-04 09:45:11 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:45:11.7845400Z (APIServer pid=34237) INFO: Started server process [34237] 2025-12-04T09:45:11.7846043Z (APIServer pid=34237) INFO: Waiting for application startup. 2025-12-04T09:45:11.9982879Z (APIServer pid=34237) INFO: Application startup complete. 2025-12-04T09:45:12.4848285Z (APIServer pid=34237) INFO: 127.0.0.1:54572 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:45:12.7332509Z (APIServer pid=34237) INFO: 127.0.0.1:54578 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:45:12.8386908Z (APIServer pid=34237) INFO: 127.0.0.1:54578 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:45:12.8931107Z (APIServer pid=34237) INFO: 127.0.0.1:54578 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:45:13.0157031Z (APIServer pid=34237) INFO: 127.0.0.1:54578 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:45:13.0831063Z (APIServer pid=34237) INFO: 127.0.0.1:54578 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:45:13.1372675Z (APIServer pid=34237) INFO: 127.0.0.1:54578 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:45:13.1443960Z (APIServer pid=34237) INFO: 127.0.0.1:54578 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:45:13.2031319Z (APIServer pid=34237) INFO 12-04 09:45:13 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:45:13.2033837Z (Worker_TP0 pid=34478) INFO 12-04 09:45:13 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:45:13.2035067Z (Worker_TP0 pid=34478) INFO 12-04 09:45:13 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:45:13.2038617Z (Worker_TP1 pid=34479) INFO 12-04 09:45:13 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:45:13.2040195Z (Worker_TP1 pid=34479) INFO 12-04 09:45:13 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:45:15.6205598Z (APIServer pid=34237) INFO: Shutting down 2025-12-04T09:45:15.7210053Z (APIServer pid=34237) INFO: Waiting for application shutdown. 2025-12-04T09:45:15.7211798Z (APIServer pid=34237) INFO: Application shutdown complete. 2025-12-04T09:45:16.0456040Z INFO 12-04 09:45:16 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:45:16.0456886Z WARNING 12-04 09:45:16 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:45:16.0457554Z INFO 12-04 09:45:16 [model.py:1714] Using max model len 2048 2025-12-04T09:45:16.0459314Z Launching RemoteOpenAIServer with: vllm serve meta-llama/Llama-3.2-1B-Instruct --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --distributed-executor-backend mp --load-format dummy --port 38003 --seed 0 2025-12-04T09:45:18.9297457Z INFO 12-04 09:45:18 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:45:22.5729406Z (APIServer pid=34690) INFO 12-04 09:45:22 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:45:22.5754505Z (APIServer pid=34690) INFO 12-04 09:45:22 [utils.py:239] non-default args: {'model_tag': 'meta-llama/Llama-3.2-1B-Instruct', 'port': 38003, 'model': 'meta-llama/Llama-3.2-1B-Instruct', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'mp', 'tensor_parallel_size': 2, 'max_num_seqs': 8} 2025-12-04T09:45:22.7736450Z (APIServer pid=34690) INFO 12-04 09:45:22 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:45:22.7737152Z (APIServer pid=34690) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:45:22.7737901Z (APIServer pid=34690) WARNING 12-04 09:45:22 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:45:22.7738599Z (APIServer pid=34690) INFO 12-04 09:45:22 [model.py:1714] Using max model len 2048 2025-12-04T09:45:22.9360949Z (APIServer pid=34690) INFO 12-04 09:45:22 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:45:22.9366497Z (APIServer pid=34690) INFO 12-04 09:45:22 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:45:26.3353673Z INFO 12-04 09:45:26 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:45:29.9603774Z (EngineCore_DP0 pid=34812) INFO 12-04 09:45:29 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:45:29.9878953Z (EngineCore_DP0 pid=34812) INFO 12-04 09:45:29 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='meta-llama/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-1B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-1B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 0, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': [], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:45:29.9884209Z (EngineCore_DP0 pid=34812) WARNING 12-04 09:45:29 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:45:29.9888457Z (EngineCore_DP0 pid=34812) INFO 12-04 09:45:29 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_293c43ec'), local_subscribe_addr='ipc:///tmp/e8f43ee4-6335-47c0-93ad-b3cf905fef31', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:45:32.9183809Z INFO 12-04 09:45:32 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:45:32.9368390Z INFO 12-04 09:45:32 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:45:38.2250123Z INFO 12-04 09:45:38 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_3227125a'), local_subscribe_addr='ipc:///tmp/3263bc80-00ec-4132-b2d5-bab5f52ccbb1', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:45:38.2329934Z INFO 12-04 09:45:38 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_2bf74be8'), local_subscribe_addr='ipc:///tmp/79e00d26-6e6d-4589-83bd-f7a9c16c8381', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:45:38.9713094Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:45:38.9714622Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:45:38.9757655Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:45:38.9758842Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:45:38.9801170Z INFO 12-04 09:45:38 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:45:38.9802904Z INFO 12-04 09:45:38 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:45:38.9814183Z INFO 12-04 09:45:38 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:45:38.9816200Z INFO 12-04 09:45:38 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:45:39.1504399Z WARNING 12-04 09:45:39 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:45:39.1506079Z WARNING 12-04 09:45:39 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:45:39.1527522Z INFO 12-04 09:45:39 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:45:39.1528177Z INFO 12-04 09:45:39 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:45:39.1529207Z WARNING 12-04 09:45:39 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:45:39.1530624Z WARNING 12-04 09:45:39 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:45:39.2430058Z INFO 12-04 09:45:39 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_75be5262'), local_subscribe_addr='ipc:///tmp/6c66ff76-b452-4e71-ae97-168b4e4a9e80', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:45:39.2465416Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:45:39.2466589Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:45:39.2473113Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:45:39.2481477Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:45:39.3226105Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:45:39.3236130Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:45:39.3245643Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:45:39.3246387Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:45:39.3248552Z INFO 12-04 09:45:39 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:45:39.3249103Z INFO 12-04 09:45:39 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:45:39.3249548Z INFO 12-04 09:45:39 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:45:39.3249937Z INFO 12-04 09:45:39 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:45:39.3585947Z INFO 12-04 09:45:39 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:45:39.3586734Z INFO 12-04 09:45:39 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:45:39.5952788Z INFO 12-04 09:45:39 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:45:39.6271026Z (Worker_TP1 pid=34932) INFO 12-04 09:45:39 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:45:39.6277680Z INFO 12-04 09:45:39 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:45:39.6591775Z (Worker_TP0 pid=34931) INFO 12-04 09:45:39 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:45:39.8361557Z (Worker_TP1 pid=34932) INFO 12-04 09:45:39 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:45:39.9224940Z (Worker_TP1 pid=34932) INFO 12-04 09:45:39 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:45:39.9291536Z (Worker_TP0 pid=34931) INFO 12-04 09:45:39 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:45:40.0173718Z (Worker_TP0 pid=34931) INFO 12-04 09:45:40 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:45:40.3638705Z (Worker_TP1 pid=34932) INFO 12-04 09:45:40 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.114453 seconds 2025-12-04T09:45:40.5320276Z (Worker_TP0 pid=34931) INFO 12-04 09:45:40 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.116945 seconds 2025-12-04T09:45:43.3678277Z (Worker_TP0 pid=34931) INFO 12-04 09:45:43 [gpu_worker.py:314] Available KV cache memory: 18.53 GiB 2025-12-04T09:45:43.4090547Z (Worker_TP1 pid=34932) INFO 12-04 09:45:43 [gpu_worker.py:314] Available KV cache memory: 18.53 GiB 2025-12-04T09:45:43.6303007Z (EngineCore_DP0 pid=34812) INFO 12-04 09:45:43 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,464 tokens 2025-12-04T09:45:43.6303933Z (EngineCore_DP0 pid=34812) INFO 12-04 09:45:43 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.00x 2025-12-04T09:45:43.6304822Z (EngineCore_DP0 pid=34812) INFO 12-04 09:45:43 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,464 tokens 2025-12-04T09:45:43.6305706Z (EngineCore_DP0 pid=34812) INFO 12-04 09:45:43 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.00x 2025-12-04T09:45:43.9249037Z (EngineCore_DP0 pid=34812) INFO 12-04 09:45:43 [core.py:240] init engine (profile, create kv cache, warmup model) took 3.33 seconds 2025-12-04T09:45:44.4264862Z (EngineCore_DP0 pid=34812) INFO 12-04 09:45:44 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:45:44.6121800Z (APIServer pid=34690) INFO 12-04 09:45:44 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 75904 2025-12-04T09:45:44.6334075Z (EngineCore_DP0 pid=34812) INFO 12-04 09:45:44 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:45:44.6539774Z (APIServer pid=34690) INFO 12-04 09:45:44 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:45:44.6967838Z (APIServer pid=34690) WARNING 12-04 09:45:44 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:45:44.6971807Z (APIServer pid=34690) INFO 12-04 09:45:44 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:45:44.7223095Z (APIServer pid=34690) INFO 12-04 09:45:44 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:45:44.7472345Z (APIServer pid=34690) INFO 12-04 09:45:44 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:45:44.7474326Z (APIServer pid=34690) INFO 12-04 09:45:44 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:38003 2025-12-04T09:45:44.7475730Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:38] Available routes are: 2025-12-04T09:45:44.7476563Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD 2025-12-04T09:45:44.7477123Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /docs, Methods: GET, HEAD 2025-12-04T09:45:44.7477720Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD 2025-12-04T09:45:44.7478290Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /redoc, Methods: GET, HEAD 2025-12-04T09:45:44.7478816Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:45:44.7479397Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:45:44.7479903Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:45:44.7480405Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:45:44.7481119Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:45:44.7481659Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:45:44.7482196Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:45:44.7482714Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:45:44.7483252Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:45:44.7483825Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:45:44.7484470Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:45:44.7485080Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:45:44.7485645Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:45:44.7486186Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:45:44.7486715Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:45:44.7487241Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:45:44.7487751Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:45:44.7488256Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:45:44.7488957Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:45:44.7489562Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:45:44.7490131Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:45:44.7490650Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:45:44.7491176Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:45:44.7491720Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:45:44.7492294Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:45:44.7492851Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:45:44.7493382Z (APIServer pid=34690) INFO 12-04 09:45:44 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:45:44.7627378Z (APIServer pid=34690) INFO: Started server process [34690] 2025-12-04T09:45:44.7628595Z (APIServer pid=34690) INFO: Waiting for application startup. 2025-12-04T09:45:44.9890160Z (APIServer pid=34690) INFO: Application startup complete. 2025-12-04T09:45:45.1196999Z (APIServer pid=34690) INFO: 127.0.0.1:48474 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:45:45.1286737Z (APIServer pid=34690) INFO: 127.0.0.1:48488 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:45:45.4819371Z (APIServer pid=34690) INFO: 127.0.0.1:48488 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:45:45.5381346Z (APIServer pid=34690) INFO: 127.0.0.1:48488 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:45:45.6248394Z (APIServer pid=34690) INFO: 127.0.0.1:48488 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:45:45.7080399Z (APIServer pid=34690) INFO: 127.0.0.1:48488 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:45:45.7782475Z (APIServer pid=34690) INFO: 127.0.0.1:48488 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:45:45.7861298Z (APIServer pid=34690) INFO: 127.0.0.1:48488 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:45:45.8604259Z (APIServer pid=34690) INFO 12-04 09:45:45 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:45:45.8606817Z (Worker_TP0 pid=34931) INFO 12-04 09:45:45 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:45:45.8607985Z (Worker_TP0 pid=34931) INFO 12-04 09:45:45 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:45:45.8611817Z (Worker_TP1 pid=34932) INFO 12-04 09:45:45 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:45:45.8613510Z (Worker_TP1 pid=34932) INFO 12-04 09:45:45 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:45:48.1724482Z (APIServer pid=34690) INFO: Shutting down 2025-12-04T09:45:48.2729869Z (APIServer pid=34690) INFO: Waiting for application shutdown. 2025-12-04T09:45:48.2731413Z (APIServer pid=34690) INFO: Application shutdown complete. 2025-12-04T09:45:48.8449014Z PASSED 2025-12-04T09:45:48.8593283Z distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup9-ray-auto-test_options9] Fork a new process to run a test 35317 2025-12-04T09:45:48.8611530Z Fork a new process to run a test 0 2025-12-04T09:45:49.4990793Z INFO 12-04 09:45:49 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:45:49.4991696Z `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:45:49.4992557Z WARNING 12-04 09:45:49 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:45:49.4993386Z INFO 12-04 09:45:49 [model.py:1714] Using max model len 2048 2025-12-04T09:45:49.4999742Z Launching RemoteOpenAIServer with: vllm serve meta-llama/Llama-3.2-1B-Instruct --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --pipeline-parallel-size 1 --distributed-executor-backend ray --compilation_config {"level": 3, "custom_ops": ["+rms_norm"], "compile_sizes": [4, 8], "pass_config": {"enable_sequence_parallelism": true, "enable_fusion": false, "enable_noop": true}} --load-format dummy --port 60471 --seed 0 2025-12-04T09:45:52.3960305Z INFO 12-04 09:45:52 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:45:56.0889428Z (APIServer pid=35366) INFO 12-04 09:45:56 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:45:56.0916878Z (APIServer pid=35366) INFO 12-04 09:45:56 [utils.py:239] non-default args: {'model_tag': 'meta-llama/Llama-3.2-1B-Instruct', 'port': 60471, 'model': 'meta-llama/Llama-3.2-1B-Instruct', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'ray', 'tensor_parallel_size': 2, 'max_num_seqs': 8, 'compilation_config': {'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm'], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [4, 8], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': None, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': None, 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': None, 'local_cache_dir': None}} 2025-12-04T09:45:56.2399430Z (APIServer pid=35366) INFO 12-04 09:45:56 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:45:56.2400170Z (APIServer pid=35366) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:45:56.2400856Z (APIServer pid=35366) WARNING 12-04 09:45:56 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:45:56.2401555Z (APIServer pid=35366) INFO 12-04 09:45:56 [model.py:1714] Using max model len 2048 2025-12-04T09:45:56.3986883Z (APIServer pid=35366) INFO 12-04 09:45:56 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:45:56.3992481Z (APIServer pid=35366) INFO 12-04 09:45:56 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:45:59.7841055Z INFO 12-04 09:45:59 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:46:03.5864048Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:03 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:46:03.6130707Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:03 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='meta-llama/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-1B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-1B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm', '+rms_norm'], 'splitting_ops': ['vllm.unified_attention', 'vllm.unified_attention_with_output', 'vllm.unified_mla_attention', 'vllm.unified_mla_attention_with_output', 'vllm.mamba_mixer2', 'vllm.mamba_mixer', 'vllm.short_conv', 'vllm.linear_attention', 'vllm.plamo2_mamba_mixer', 'vllm.gdn_attention', 'vllm.sparse_attn_indexer'], 'use_inductor': True, 'compile_sizes': [8, 4], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:46:05.5239640Z (EngineCore_DP0 pid=35488) 2025-12-04 09:46:05,523 INFO worker.py:1918 -- Started a local Ray instance. View the dashboard at http://127.0.0.1:8265  2025-12-04T09:46:06.7196739Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:06 [ray_utils.py:373] No current placement group found. Creating a new placement group. 2025-12-04T09:46:06.8956095Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:06 [ray_distributed_executor.py:179] use_ray_spmd_worker: True 2025-12-04T09:46:09.6986880Z (EngineCore_DP0 pid=35488) (pid=36373) INFO 12-04 09:46:09 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:46:11.3139423Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:11 [ray_env.py:67] RAY_NON_CARRY_OVER_ENV_VARS from config: set() 2025-12-04T09:46:11.3143778Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:11 [ray_env.py:70] Copying the following environment variables to workers: ['HF_TOKEN', 'VLLM_WORKER_MULTIPROC_METHOD', 'MAX_JOBS', 'VLLM_USE_RAY_COMPILED_DAG', 'VLLM_USE_RAY_SPMD_WORKER', 'HUGGING_FACE_HUB_TOKEN', 'LD_LIBRARY_PATH', 'VLLM_USE_V1'] 2025-12-04T09:46:11.3145752Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:11 [ray_env.py:75] If certain env vars should NOT be copied, add them to /var/lib/jenkins/.config/vllm/ray_non_carry_over_env_vars.json file 2025-12-04T09:46:14.5993628Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) WARNING 12-04 09:46:14 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. 2025-12-04T09:46:14.8045697Z (EngineCore_DP0 pid=35488) (pid=36371) INFO 12-04 09:46:09 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:46:15.0113951Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:46:15.0115248Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:46:15.0116302Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) INFO 12-04 09:46:14 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:46:15.0117427Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) INFO 12-04 09:46:14 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:46:15.3194995Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) WARNING 12-04 09:46:15 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:46:15.3197434Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) INFO 12-04 09:46:15 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:46:15.3199990Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) WARNING 12-04 09:46:15 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:46:15.3202438Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) INFO 12-04 09:46:15 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:46:15.3205304Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:15 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_46756700'), local_subscribe_addr='ipc:///tmp/7b1f8112-2ced-4c55-884a-fc874e4cc2cb', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:46:15.6277024Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) INFO 12-04 09:46:15 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:46:15.6278324Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) INFO 12-04 09:46:15 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:46:15.9358628Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) INFO 12-04 09:46:15 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:46:15.9382813Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) INFO 12-04 09:46:15 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:46:16.5534677Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) INFO 12-04 09:46:16 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.166896 seconds 2025-12-04T09:46:19.7193150Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) INFO 12-04 09:46:19 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/4ca8136fbc/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:46:19.7195435Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) INFO 12-04 09:46:19 [backends.py:608] Dynamo bytecode transform time: 2.95 s 2025-12-04T09:46:19.7197377Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) WARNING 12-04 09:46:14 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. 2025-12-04T09:46:20.8437246Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) INFO 12-04 09:46:20 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.767 s 2025-12-04T09:46:20.8439761Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 [repeated 10x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.) 2025-12-04T09:46:20.8441719Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:15 [__init__.py:1146] Found nccl from library libnccl.so.2 [repeated 3x across cluster] 2025-12-04T09:46:20.8442659Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:15 [pynccl.py:109] vLLM is using nccl==2.27.5 [repeated 3x across cluster] 2025-12-04T09:46:20.8444013Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) WARNING 12-04 09:46:15 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:46:20.8445037Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:15 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:46:20.8446353Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) WARNING 12-04 09:46:15 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:46:20.8447655Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:15 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:46:20.8448598Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:15 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:46:20.8449511Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:15 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:46:21.9686257Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) INFO 12-04 09:46:21 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:46:21.9687388Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:15 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:46:21.9688414Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:15 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:46:21.9689466Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:16 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.166808 seconds 2025-12-04T09:46:22.1732866Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:22 [kv_cache_utils.py:1199] GPU KV cache size: 1,215,360 tokens 2025-12-04T09:46:22.1735843Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:22 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.44x 2025-12-04T09:46:22.1736753Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:22 [kv_cache_utils.py:1199] GPU KV cache size: 1,215,360 tokens 2025-12-04T09:46:22.1737590Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:22 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.44x 2025-12-04T09:46:22.2774381Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) INFO 12-04 09:46:22 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:46:24.9277845Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:24 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 2.703 s 2025-12-04T09:46:24.9279273Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:19 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/4ca8136fbc/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:46:24.9280382Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:19 [backends.py:608] Dynamo bytecode transform time: 2.97 s 2025-12-04T09:46:25.4922596Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:25 [core.py:240] init engine (profile, create kv cache, warmup model) took 8.97 seconds 2025-12-04T09:46:25.5436778Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36373) INFO 12-04 09:46:25 [monitor.py:33] torch.compile takes 2.95 s in total 2025-12-04T09:46:25.9967929Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:25 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:46:26.1679036Z (APIServer pid=35366) INFO 12-04 09:46:26 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 75960 2025-12-04T09:46:26.2549947Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:26 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:46:26.2816191Z (APIServer pid=35366) INFO 12-04 09:46:26 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:46:26.3066617Z (APIServer pid=35366) WARNING 12-04 09:46:26 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:46:26.3069707Z (APIServer pid=35366) INFO 12-04 09:46:26 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:46:26.3338976Z (APIServer pid=35366) INFO 12-04 09:46:26 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:46:26.3577391Z (APIServer pid=35366) INFO 12-04 09:46:26 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:46:26.3579492Z (APIServer pid=35366) INFO 12-04 09:46:26 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:60471 2025-12-04T09:46:26.3581191Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:38] Available routes are: 2025-12-04T09:46:26.3582875Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /openapi.json, Methods: HEAD, GET 2025-12-04T09:46:26.3584005Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /docs, Methods: HEAD, GET 2025-12-04T09:46:26.3585112Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: HEAD, GET 2025-12-04T09:46:26.3585802Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /redoc, Methods: HEAD, GET 2025-12-04T09:46:26.3586599Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:46:26.3587122Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:46:26.3587861Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:46:26.3588532Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:46:26.3589047Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:46:26.3589572Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:46:26.3590117Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:46:26.3590627Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:46:26.3591159Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:46:26.3591731Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:46:26.3592357Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:46:26.3592964Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:46:26.3593527Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:46:26.3594174Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:46:26.3594907Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:46:26.3595442Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:46:26.3595965Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:46:26.3596477Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:46:26.3597042Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:46:26.3597627Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:46:26.3598270Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:46:26.3598806Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:46:26.3599439Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:46:26.3599986Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:46:26.3600562Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:46:26.3601115Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:46:26.3601639Z (APIServer pid=35366) INFO 12-04 09:46:26 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:46:26.3740972Z (APIServer pid=35366) INFO: Started server process [35366] 2025-12-04T09:46:26.3742214Z (APIServer pid=35366) INFO: Waiting for application startup. 2025-12-04T09:46:26.5922294Z (APIServer pid=35366) INFO: Application startup complete. 2025-12-04T09:46:26.5964985Z (APIServer pid=35366) INFO: 127.0.0.1:40634 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:46:26.8438016Z (APIServer pid=35366) INFO: 127.0.0.1:40650 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:46:26.8741492Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:26 [ray_distributed_executor.py:569] RAY_CGRAPH_get_timeout is set to 300 2025-12-04T09:46:26.8743357Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:26 [ray_distributed_executor.py:573] VLLM_USE_RAY_COMPILED_DAG_CHANNEL_TYPE = auto 2025-12-04T09:46:26.8745149Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:26 [ray_distributed_executor.py:577] VLLM_USE_RAY_COMPILED_DAG_OVERLAP_COMM = False 2025-12-04T09:46:26.8747376Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:26 [ray_distributed_executor.py:653] Using RayPPCommunicator (which wraps vLLM _PP GroupCoordinator) for Ray Compiled Graph communication. 2025-12-04T09:46:27.0501025Z (APIServer pid=35366) INFO: 127.0.0.1:40650 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:46:27.1094054Z (APIServer pid=35366) INFO: 127.0.0.1:40650 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:46:27.2453411Z (APIServer pid=35366) INFO: 127.0.0.1:40650 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:46:27.3322725Z (APIServer pid=35366) INFO: 127.0.0.1:40650 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:46:27.4026208Z (APIServer pid=35366) INFO: 127.0.0.1:40650 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:46:27.4108283Z (APIServer pid=35366) INFO: 127.0.0.1:40650 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:46:27.5076232Z (APIServer pid=35366) INFO 12-04 09:46:27 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:46:27.5076788Z *** SIGTERM received at time=1764841587 on cpu 43 *** 2025-12-04T09:46:27.5124539Z PC: @ 0x7f99d5246117 (unknown) (unknown) 2025-12-04T09:46:27.5125748Z @ 0x7f99d51f7520 (unknown) (unknown) 2025-12-04T09:46:27.5126278Z [2025-12-04 09:46:27,512 E 35488 35488] logging.cc:501: *** SIGTERM received at time=1764841587 on cpu 43 *** 2025-12-04T09:46:27.5127856Z [2025-12-04 09:46:27,512 E 35488 35488] logging.cc:501: PC: @ 0x7f99d5246117 (unknown) (unknown) 2025-12-04T09:46:27.5129421Z [2025-12-04 09:46:27,512 E 35488 35488] logging.cc:501: @ 0x7f99d51f7520 (unknown) (unknown) 2025-12-04T09:46:27.5131603Z (EngineCore_DP0 pid=35488) INFO 12-04 09:46:27 [ray_distributed_executor.py:127] Shutting down Ray distributed executor. If you see error log from logging.cc regarding SIGTERM received, please ignore because this is the expected termination process in Ray. 2025-12-04T09:46:27.5133204Z (EngineCore_DP0 pid=35488) 2025-12-04 09:46:27,512 INFO compiled_dag_node.py:2171 -- Tearing down compiled DAG 2025-12-04T09:46:27.5134580Z (EngineCore_DP0 pid=35488) 2025-12-04 09:46:27,513 INFO compiled_dag_node.py:2176 -- Cancelling compiled worker on actor: Actor(RayWorkerWrapper, 6d899778ae41749fa6408c2801000000) 2025-12-04T09:46:27.5136488Z (EngineCore_DP0 pid=35488) 2025-12-04 09:46:27,513 INFO compiled_dag_node.py:2176 -- Cancelling compiled worker on actor: Actor(RayWorkerWrapper, db66d3e746f2df652de4dda601000000) 2025-12-04T09:46:27.5174566Z (EngineCore_DP0 pid=35488) 2025-12-04 09:46:27,517 INFO compiled_dag_node.py:2198 -- Waiting for worker tasks to exit 2025-12-04T09:46:27.5176047Z (EngineCore_DP0 pid=35488) 2025-12-04 09:46:27,517 INFO compiled_dag_node.py:2201 -- Teardown complete 2025-12-04T09:46:28.0202196Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:20 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.746 s 2025-12-04T09:46:28.0203441Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:21 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:46:28.0204423Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:25 [gpu_worker.py:351] Compile and warming up model for size 4 [repeated 3x across cluster] 2025-12-04T09:46:28.0205822Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:25 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 0.459 s [repeated 3x across cluster] 2025-12-04T09:46:28.0206785Z (EngineCore_DP0 pid=35488) (RayWorkerWrapper pid=36371) INFO 12-04 09:46:25 [monitor.py:33] torch.compile takes 2.97 s in total 2025-12-04T09:46:29.9117731Z (APIServer pid=35366) INFO: Shutting down 2025-12-04T09:46:30.0112092Z (APIServer pid=35366) INFO: Waiting for application shutdown. 2025-12-04T09:46:30.0113080Z (APIServer pid=35366) INFO: Application shutdown complete. 2025-12-04T09:46:30.3271530Z INFO 12-04 09:46:30 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:46:30.3273197Z WARNING 12-04 09:46:30 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:46:30.3274615Z INFO 12-04 09:46:30 [model.py:1714] Using max model len 2048 2025-12-04T09:46:30.3277128Z Launching RemoteOpenAIServer with: vllm serve meta-llama/Llama-3.2-1B-Instruct --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --distributed-executor-backend mp --load-format dummy --port 60533 --seed 0 2025-12-04T09:46:33.2120369Z INFO 12-04 09:46:33 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:46:36.8862805Z (APIServer pid=40105) INFO 12-04 09:46:36 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:46:36.8890400Z (APIServer pid=40105) INFO 12-04 09:46:36 [utils.py:239] non-default args: {'model_tag': 'meta-llama/Llama-3.2-1B-Instruct', 'port': 60533, 'model': 'meta-llama/Llama-3.2-1B-Instruct', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'mp', 'tensor_parallel_size': 2, 'max_num_seqs': 8} 2025-12-04T09:46:37.0329237Z (APIServer pid=40105) INFO 12-04 09:46:37 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:46:37.0330363Z (APIServer pid=40105) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:46:37.0331083Z (APIServer pid=40105) WARNING 12-04 09:46:37 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:46:37.0331871Z (APIServer pid=40105) INFO 12-04 09:46:37 [model.py:1714] Using max model len 2048 2025-12-04T09:46:37.1949946Z (APIServer pid=40105) INFO 12-04 09:46:37 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:46:37.1955444Z (APIServer pid=40105) INFO 12-04 09:46:37 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:46:40.5897530Z INFO 12-04 09:46:40 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:46:44.2139215Z (EngineCore_DP0 pid=40227) INFO 12-04 09:46:44 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:46:44.2409798Z (EngineCore_DP0 pid=40227) INFO 12-04 09:46:44 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='meta-llama/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-1B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-1B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 0, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': [], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:46:44.2415617Z (EngineCore_DP0 pid=40227) WARNING 12-04 09:46:44 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:46:44.2417237Z (EngineCore_DP0 pid=40227) INFO 12-04 09:46:44 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_98bda47d'), local_subscribe_addr='ipc:///tmp/40e18d30-b3b8-41dc-8a53-cbd365a1733f', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:46:47.1550693Z INFO 12-04 09:46:47 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:46:47.1670446Z INFO 12-04 09:46:47 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:46:52.2833977Z INFO 12-04 09:46:52 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_14d0d5b4'), local_subscribe_addr='ipc:///tmp/e1d8bf83-a42d-43f8-a612-9af1889f2e94', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:46:52.3133141Z INFO 12-04 09:46:52 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_895c80f2'), local_subscribe_addr='ipc:///tmp/103d708b-e2ad-48e6-84db-cd72ee7fbb02', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:46:52.4896450Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:46:52.4897117Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:46:52.4942191Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:46:52.4942857Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:46:52.4984641Z INFO 12-04 09:46:52 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:46:52.4988588Z INFO 12-04 09:46:52 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:46:52.4994083Z INFO 12-04 09:46:52 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:46:52.4995940Z INFO 12-04 09:46:52 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:46:52.6718040Z WARNING 12-04 09:46:52 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:46:52.6718954Z WARNING 12-04 09:46:52 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:46:52.6740755Z INFO 12-04 09:46:52 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:46:52.6742880Z WARNING 12-04 09:46:52 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:46:52.6743955Z INFO 12-04 09:46:52 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:46:52.6744957Z WARNING 12-04 09:46:52 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:46:52.7429925Z INFO 12-04 09:46:52 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_df1e1557'), local_subscribe_addr='ipc:///tmp/b5ecaf27-0c59-4fba-9678-25621bd2cdcd', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:46:52.7460358Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:46:52.7460967Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:46:52.7468999Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:46:52.7477195Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:46:52.8226472Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:46:52.8238282Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:46:52.8250485Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:46:52.8251054Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:46:52.8253229Z INFO 12-04 09:46:52 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:46:52.8254056Z INFO 12-04 09:46:52 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:46:52.8254419Z INFO 12-04 09:46:52 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:46:52.8254744Z INFO 12-04 09:46:52 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:46:52.8612180Z INFO 12-04 09:46:52 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:46:52.8612950Z INFO 12-04 09:46:52 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:46:53.1067323Z INFO 12-04 09:46:53 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:46:53.1306442Z INFO 12-04 09:46:53 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:46:53.1376717Z (Worker_TP1 pid=40347) INFO 12-04 09:46:53 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:46:53.1633490Z (Worker_TP0 pid=40346) INFO 12-04 09:46:53 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:46:53.3446299Z (Worker_TP1 pid=40347) INFO 12-04 09:46:53 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:46:53.4111754Z (Worker_TP0 pid=40346) INFO 12-04 09:46:53 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:46:53.4323751Z (Worker_TP1 pid=40347) INFO 12-04 09:46:53 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:46:53.5001745Z (Worker_TP0 pid=40346) INFO 12-04 09:46:53 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:46:53.8722508Z (Worker_TP1 pid=40347) INFO 12-04 09:46:53 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.115549 seconds 2025-12-04T09:46:54.0041567Z (Worker_TP0 pid=40346) INFO 12-04 09:46:54 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.117388 seconds 2025-12-04T09:46:56.2821708Z (Worker_TP0 pid=40346) INFO 12-04 09:46:56 [gpu_worker.py:314] Available KV cache memory: 18.53 GiB 2025-12-04T09:46:56.2988220Z (Worker_TP1 pid=40347) INFO 12-04 09:46:56 [gpu_worker.py:314] Available KV cache memory: 18.53 GiB 2025-12-04T09:46:56.5214634Z (EngineCore_DP0 pid=40227) INFO 12-04 09:46:56 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,464 tokens 2025-12-04T09:46:56.5215525Z (EngineCore_DP0 pid=40227) INFO 12-04 09:46:56 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.00x 2025-12-04T09:46:56.5216397Z (EngineCore_DP0 pid=40227) INFO 12-04 09:46:56 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,464 tokens 2025-12-04T09:46:56.5217228Z (EngineCore_DP0 pid=40227) INFO 12-04 09:46:56 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.00x 2025-12-04T09:46:56.7081204Z (EngineCore_DP0 pid=40227) INFO 12-04 09:46:56 [core.py:240] init engine (profile, create kv cache, warmup model) took 2.65 seconds 2025-12-04T09:46:57.2028791Z (EngineCore_DP0 pid=40227) INFO 12-04 09:46:57 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:46:57.3889779Z (APIServer pid=40105) INFO 12-04 09:46:57 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 75904 2025-12-04T09:46:57.4032769Z (EngineCore_DP0 pid=40227) INFO 12-04 09:46:57 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:46:57.4242274Z (APIServer pid=40105) INFO 12-04 09:46:57 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:46:57.4477852Z (APIServer pid=40105) WARNING 12-04 09:46:57 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:46:57.4479914Z (APIServer pid=40105) INFO 12-04 09:46:57 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:46:57.4688912Z (APIServer pid=40105) INFO 12-04 09:46:57 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:46:57.4957272Z (APIServer pid=40105) INFO 12-04 09:46:57 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:46:57.4958326Z (APIServer pid=40105) INFO 12-04 09:46:57 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:60533 2025-12-04T09:46:57.4959153Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:38] Available routes are: 2025-12-04T09:46:57.4959842Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD 2025-12-04T09:46:57.4960563Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /docs, Methods: GET, HEAD 2025-12-04T09:46:57.4961316Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD 2025-12-04T09:46:57.4962023Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /redoc, Methods: GET, HEAD 2025-12-04T09:46:57.4962672Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:46:57.4963345Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:46:57.4963974Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:46:57.4964596Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:46:57.4965229Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:46:57.4965894Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:46:57.4966798Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:46:57.4967358Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:46:57.4967902Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:46:57.4968492Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:46:57.4969122Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:46:57.4969737Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:46:57.4970309Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:46:57.4970861Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:46:57.4971391Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:46:57.4971911Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:46:57.4972418Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:46:57.4972926Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:46:57.4973497Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:46:57.4974243Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:46:57.4974778Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:46:57.4975304Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:46:57.4975834Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:46:57.4976386Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:46:57.4976952Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:46:57.4977506Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:46:57.4978040Z (APIServer pid=40105) INFO 12-04 09:46:57 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:46:57.5118740Z (APIServer pid=40105) INFO: Started server process [40105] 2025-12-04T09:46:57.5119481Z (APIServer pid=40105) INFO: Waiting for application startup. 2025-12-04T09:46:57.7213093Z (APIServer pid=40105) INFO: Application startup complete. 2025-12-04T09:46:57.8986446Z (APIServer pid=40105) INFO: 127.0.0.1:52174 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:46:57.9074993Z (APIServer pid=40105) INFO: 127.0.0.1:52180 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:46:58.1392950Z (APIServer pid=40105) INFO: 127.0.0.1:52180 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:46:58.1957402Z (APIServer pid=40105) INFO: 127.0.0.1:52180 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:46:58.2918030Z (APIServer pid=40105) INFO: 127.0.0.1:52180 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:46:58.3748169Z (APIServer pid=40105) INFO: 127.0.0.1:52180 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:46:58.4444676Z (APIServer pid=40105) INFO: 127.0.0.1:52180 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:46:58.4522276Z (APIServer pid=40105) INFO: 127.0.0.1:52180 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:46:58.5178480Z (APIServer pid=40105) INFO 12-04 09:46:58 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:46:58.5181253Z (Worker_TP0 pid=40346) INFO 12-04 09:46:58 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:46:58.5182697Z (Worker_TP0 pid=40346) INFO 12-04 09:46:58 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:46:58.5188317Z (Worker_TP1 pid=40347) INFO 12-04 09:46:58 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:46:58.5189355Z (Worker_TP1 pid=40347) INFO 12-04 09:46:58 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:47:00.6377489Z (APIServer pid=40105) INFO: Shutting down 2025-12-04T09:47:00.7372660Z (APIServer pid=40105) INFO: Waiting for application shutdown. 2025-12-04T09:47:00.7373933Z (APIServer pid=40105) INFO: Application shutdown complete. 2025-12-04T09:47:01.3000218Z PASSED 2025-12-04T09:47:01.3145556Z distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup10-mp-auto-test_options10] Fork a new process to run a test 40558 2025-12-04T09:47:01.3161467Z Fork a new process to run a test 0 2025-12-04T09:47:01.9470790Z INFO 12-04 09:47:01 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:47:01.9472376Z `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:47:01.9473241Z WARNING 12-04 09:47:01 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:47:01.9473980Z INFO 12-04 09:47:01 [model.py:1714] Using max model len 2048 2025-12-04T09:47:01.9478427Z Launching RemoteOpenAIServer with: vllm serve meta-llama/Llama-3.2-1B-Instruct --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enable-chunked-prefill --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --pipeline-parallel-size 1 --distributed-executor-backend mp --compilation_config {"level": 3, "custom_ops": ["+rms_norm"], "compile_sizes": [4, 8], "pass_config": {"enable_sequence_parallelism": true, "enable_fusion": false, "enable_noop": true}} --load-format dummy --port 39537 --seed 0 2025-12-04T09:47:04.8263335Z INFO 12-04 09:47:04 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:47:08.4987565Z (APIServer pid=40607) INFO 12-04 09:47:08 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:47:08.5016256Z (APIServer pid=40607) INFO 12-04 09:47:08 [utils.py:239] non-default args: {'model_tag': 'meta-llama/Llama-3.2-1B-Instruct', 'port': 39537, 'model': 'meta-llama/Llama-3.2-1B-Instruct', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'mp', 'tensor_parallel_size': 2, 'max_num_seqs': 8, 'enable_chunked_prefill': True, 'compilation_config': {'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm'], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [4, 8], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': None, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': None, 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': None, 'local_cache_dir': None}} 2025-12-04T09:47:08.6500348Z (APIServer pid=40607) INFO 12-04 09:47:08 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:47:08.6501115Z (APIServer pid=40607) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:47:08.6501834Z (APIServer pid=40607) WARNING 12-04 09:47:08 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:47:08.6502542Z (APIServer pid=40607) INFO 12-04 09:47:08 [model.py:1714] Using max model len 2048 2025-12-04T09:47:08.8331320Z (APIServer pid=40607) INFO 12-04 09:47:08 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:47:08.8337312Z (APIServer pid=40607) INFO 12-04 09:47:08 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:47:12.2179256Z INFO 12-04 09:47:12 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:47:15.8214483Z (EngineCore_DP0 pid=40729) INFO 12-04 09:47:15 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:47:15.8486485Z (EngineCore_DP0 pid=40729) INFO 12-04 09:47:15 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='meta-llama/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-1B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-1B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm', '+rms_norm'], 'splitting_ops': ['vllm.unified_attention', 'vllm.unified_attention_with_output', 'vllm.unified_mla_attention', 'vllm.unified_mla_attention_with_output', 'vllm.mamba_mixer2', 'vllm.mamba_mixer', 'vllm.short_conv', 'vllm.linear_attention', 'vllm.plamo2_mamba_mixer', 'vllm.gdn_attention', 'vllm.sparse_attn_indexer'], 'use_inductor': True, 'compile_sizes': [8, 4], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:47:15.8497550Z (EngineCore_DP0 pid=40729) WARNING 12-04 09:47:15 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:47:15.8502208Z (EngineCore_DP0 pid=40729) INFO 12-04 09:47:15 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_ee15d86c'), local_subscribe_addr='ipc:///tmp/165f16e6-deba-4690-9ada-53e2e95e8b6b', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:47:18.7356735Z INFO 12-04 09:47:18 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:47:18.7753218Z INFO 12-04 09:47:18 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:47:23.8434512Z INFO 12-04 09:47:23 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_224e4a32'), local_subscribe_addr='ipc:///tmp/5c50854e-c002-4628-92a2-05a7343f22de', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:47:23.8930587Z INFO 12-04 09:47:23 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_f473b568'), local_subscribe_addr='ipc:///tmp/2e845986-c009-4803-9e3d-ead820be8786', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:47:24.6071552Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:47:24.6072197Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:47:24.6118861Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:47:24.6119613Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:47:24.6163834Z INFO 12-04 09:47:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:47:24.6166684Z INFO 12-04 09:47:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:47:24.6175153Z INFO 12-04 09:47:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:47:24.6178042Z INFO 12-04 09:47:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:47:24.7923567Z WARNING 12-04 09:47:24 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:47:24.7924438Z WARNING 12-04 09:47:24 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:47:24.7947773Z INFO 12-04 09:47:24 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:47:24.7948547Z INFO 12-04 09:47:24 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:47:24.7950034Z WARNING 12-04 09:47:24 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:47:24.7951473Z WARNING 12-04 09:47:24 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:47:24.8926988Z INFO 12-04 09:47:24 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_30d17dff'), local_subscribe_addr='ipc:///tmp/488588bb-5016-4bd5-9951-87909544183a', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:47:24.8953837Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:47:24.8954485Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:47:24.8963171Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:47:24.8971805Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:47:24.9725361Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:47:24.9739380Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:47:24.9751213Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:47:24.9751688Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:47:24.9753928Z INFO 12-04 09:47:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:47:24.9754294Z INFO 12-04 09:47:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:47:24.9754639Z INFO 12-04 09:47:24 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:47:24.9755109Z INFO 12-04 09:47:24 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:47:25.0102396Z INFO 12-04 09:47:25 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:47:25.0103172Z INFO 12-04 09:47:25 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:47:25.2463856Z INFO 12-04 09:47:25 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:47:25.2751899Z INFO 12-04 09:47:25 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:47:25.2792824Z (Worker_TP0 pid=40848) INFO 12-04 09:47:25 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:47:25.3071705Z (Worker_TP1 pid=40849) INFO 12-04 09:47:25 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:47:25.4869177Z (Worker_TP0 pid=40848) INFO 12-04 09:47:25 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:47:25.5436314Z (Worker_TP1 pid=40849) INFO 12-04 09:47:25 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:47:25.5760273Z (Worker_TP0 pid=40848) INFO 12-04 09:47:25 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:47:25.6311770Z (Worker_TP1 pid=40849) INFO 12-04 09:47:25 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:47:26.0746876Z (Worker_TP0 pid=40848) INFO 12-04 09:47:26 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.166800 seconds 2025-12-04T09:47:26.1757565Z (Worker_TP1 pid=40849) INFO 12-04 09:47:26 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.164481 seconds 2025-12-04T09:47:29.4339823Z (Worker_TP1 pid=40849) INFO 12-04 09:47:29 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/4ca8136fbc/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:47:29.4348440Z (Worker_TP1 pid=40849) INFO 12-04 09:47:29 [backends.py:608] Dynamo bytecode transform time: 2.95 s 2025-12-04T09:47:29.5208474Z (Worker_TP0 pid=40848) INFO 12-04 09:47:29 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/4ca8136fbc/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:47:29.5221792Z (Worker_TP0 pid=40848) INFO 12-04 09:47:29 [backends.py:608] Dynamo bytecode transform time: 3.06 s 2025-12-04T09:47:30.5268386Z (Worker_TP1 pid=40849) INFO 12-04 09:47:30 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.813 s 2025-12-04T09:47:30.6281181Z (Worker_TP0 pid=40848) INFO 12-04 09:47:30 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.822 s 2025-12-04T09:47:31.9483811Z (Worker_TP0 pid=40848) INFO 12-04 09:47:31 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:47:32.0560270Z (Worker_TP1 pid=40849) INFO 12-04 09:47:32 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:47:32.3198189Z (EngineCore_DP0 pid=40729) INFO 12-04 09:47:32 [kv_cache_utils.py:1199] GPU KV cache size: 1,215,232 tokens 2025-12-04T09:47:32.3199225Z (EngineCore_DP0 pid=40729) INFO 12-04 09:47:32 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.38x 2025-12-04T09:47:32.3200121Z (EngineCore_DP0 pid=40729) INFO 12-04 09:47:32 [kv_cache_utils.py:1199] GPU KV cache size: 1,215,232 tokens 2025-12-04T09:47:32.3200967Z (EngineCore_DP0 pid=40729) INFO 12-04 09:47:32 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.38x 2025-12-04T09:47:32.3271238Z (Worker_TP1 pid=40849) INFO 12-04 09:47:32 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:47:32.3272032Z (Worker_TP0 pid=40848) INFO 12-04 09:47:32 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:47:33.4642998Z (Worker_TP0 pid=40848) INFO 12-04 09:47:33 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 1.137 s 2025-12-04T09:47:33.4696232Z (Worker_TP1 pid=40849) INFO 12-04 09:47:33 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 1.142 s 2025-12-04T09:47:33.4702509Z (Worker_TP0 pid=40848) INFO 12-04 09:47:33 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T09:47:33.4705644Z (Worker_TP1 pid=40849) INFO 12-04 09:47:33 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T09:47:33.9259904Z (Worker_TP1 pid=40849) INFO 12-04 09:47:33 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 0.455 s 2025-12-04T09:47:33.9260835Z (Worker_TP1 pid=40849) INFO 12-04 09:47:33 [monitor.py:33] torch.compile takes 2.95 s in total 2025-12-04T09:47:33.9316991Z (Worker_TP0 pid=40848) INFO 12-04 09:47:33 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 0.461 s 2025-12-04T09:47:33.9317871Z (Worker_TP0 pid=40848) INFO 12-04 09:47:33 [monitor.py:33] torch.compile takes 3.06 s in total 2025-12-04T09:47:33.9451734Z (EngineCore_DP0 pid=40729) INFO 12-04 09:47:33 [core.py:240] init engine (profile, create kv cache, warmup model) took 7.69 seconds 2025-12-04T09:47:34.4442205Z (EngineCore_DP0 pid=40729) INFO 12-04 09:47:34 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:47:34.6297255Z (APIServer pid=40607) INFO 12-04 09:47:34 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 75952 2025-12-04T09:47:34.6480937Z (EngineCore_DP0 pid=40729) INFO 12-04 09:47:34 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:47:34.6685525Z (APIServer pid=40607) INFO 12-04 09:47:34 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:47:34.7040862Z (APIServer pid=40607) WARNING 12-04 09:47:34 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:47:34.7042473Z (APIServer pid=40607) INFO 12-04 09:47:34 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:47:34.7434485Z (APIServer pid=40607) INFO 12-04 09:47:34 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:47:34.7677158Z (APIServer pid=40607) INFO 12-04 09:47:34 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:47:34.7678482Z (APIServer pid=40607) INFO 12-04 09:47:34 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:39537 2025-12-04T09:47:34.7679581Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:38] Available routes are: 2025-12-04T09:47:34.7680784Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /openapi.json, Methods: HEAD, GET 2025-12-04T09:47:34.7681965Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /docs, Methods: HEAD, GET 2025-12-04T09:47:34.7683193Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: HEAD, GET 2025-12-04T09:47:34.7684187Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /redoc, Methods: HEAD, GET 2025-12-04T09:47:34.7685075Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:47:34.7685952Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:47:34.7686722Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:47:34.7687257Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:47:34.7687768Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:47:34.7688291Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:47:34.7688814Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:47:34.7689325Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:47:34.7689860Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:47:34.7690435Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:47:34.7691063Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:47:34.7691668Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:47:34.7692233Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:47:34.7692787Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:47:34.7693313Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:47:34.7693841Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:47:34.7694526Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:47:34.7695041Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:47:34.7695616Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:47:34.7696207Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:47:34.7696737Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:47:34.7697266Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:47:34.7697785Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:47:34.7698325Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:47:34.7698904Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:47:34.7699453Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:47:34.7699975Z (APIServer pid=40607) INFO 12-04 09:47:34 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:47:34.7835783Z (APIServer pid=40607) INFO: Started server process [40607] 2025-12-04T09:47:34.7836415Z (APIServer pid=40607) INFO: Waiting for application startup. 2025-12-04T09:47:34.9917301Z (APIServer pid=40607) INFO: Application startup complete. 2025-12-04T09:47:35.0281178Z (APIServer pid=40607) INFO: 127.0.0.1:34480 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:47:35.2776290Z (APIServer pid=40607) INFO: 127.0.0.1:34496 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:47:35.3851655Z (APIServer pid=40607) INFO: 127.0.0.1:34496 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:47:35.4407381Z (APIServer pid=40607) INFO: 127.0.0.1:34496 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:47:35.5746699Z (APIServer pid=40607) INFO: 127.0.0.1:34496 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:47:35.6434567Z (APIServer pid=40607) INFO: 127.0.0.1:34496 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:47:35.7108696Z (APIServer pid=40607) INFO: 127.0.0.1:34496 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:47:35.7184508Z (APIServer pid=40607) INFO: 127.0.0.1:34496 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:47:35.7905942Z (APIServer pid=40607) INFO 12-04 09:47:35 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:47:35.7909284Z (Worker_TP0 pid=40848) INFO 12-04 09:47:35 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:47:35.7910819Z (Worker_TP0 pid=40848) INFO 12-04 09:47:35 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:47:35.7913867Z (Worker_TP1 pid=40849) INFO 12-04 09:47:35 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:47:35.7914930Z (Worker_TP1 pid=40849) INFO 12-04 09:47:35 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:47:37.9039327Z (APIServer pid=40607) INFO: Shutting down 2025-12-04T09:47:38.0043084Z (APIServer pid=40607) INFO: Waiting for application shutdown. 2025-12-04T09:47:38.0045748Z (APIServer pid=40607) INFO: Application shutdown complete. 2025-12-04T09:47:38.3448082Z INFO 12-04 09:47:38 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:47:38.3449425Z WARNING 12-04 09:47:38 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:47:38.3450317Z INFO 12-04 09:47:38 [model.py:1714] Using max model len 2048 2025-12-04T09:47:38.3452772Z Launching RemoteOpenAIServer with: vllm serve meta-llama/Llama-3.2-1B-Instruct --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enable-chunked-prefill --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --distributed-executor-backend mp --load-format dummy --port 34773 --seed 0 2025-12-04T09:47:41.2449951Z INFO 12-04 09:47:41 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:47:44.9068363Z (APIServer pid=41078) INFO 12-04 09:47:44 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:47:44.9092413Z (APIServer pid=41078) INFO 12-04 09:47:44 [utils.py:239] non-default args: {'model_tag': 'meta-llama/Llama-3.2-1B-Instruct', 'port': 34773, 'model': 'meta-llama/Llama-3.2-1B-Instruct', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'mp', 'tensor_parallel_size': 2, 'max_num_seqs': 8, 'enable_chunked_prefill': True} 2025-12-04T09:47:45.0536164Z (APIServer pid=41078) INFO 12-04 09:47:45 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:47:45.0537516Z (APIServer pid=41078) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:47:45.0538844Z (APIServer pid=41078) WARNING 12-04 09:47:45 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:47:45.0540149Z (APIServer pid=41078) INFO 12-04 09:47:45 [model.py:1714] Using max model len 2048 2025-12-04T09:47:45.2127898Z (APIServer pid=41078) INFO 12-04 09:47:45 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:47:45.2132376Z (APIServer pid=41078) INFO 12-04 09:47:45 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:47:48.6316758Z INFO 12-04 09:47:48 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:47:52.2758788Z (EngineCore_DP0 pid=41200) INFO 12-04 09:47:52 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:47:52.3031016Z (EngineCore_DP0 pid=41200) INFO 12-04 09:47:52 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='meta-llama/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-1B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-1B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 0, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': [], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:47:52.3037159Z (EngineCore_DP0 pid=41200) WARNING 12-04 09:47:52 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:47:52.3044666Z (EngineCore_DP0 pid=41200) INFO 12-04 09:47:52 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_d520b330'), local_subscribe_addr='ipc:///tmp/fc472308-a9c3-4f83-a31c-53029786c5b2', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:47:55.2065748Z INFO 12-04 09:47:55 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:47:55.2410861Z INFO 12-04 09:47:55 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:48:00.4034022Z INFO 12-04 09:48:00 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_372ab6c2'), local_subscribe_addr='ipc:///tmp/5e805818-b352-43bf-836c-b2b4420e327f', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:48:00.4035930Z INFO 12-04 09:48:00 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_779d4c5e'), local_subscribe_addr='ipc:///tmp/2e72329b-8fdb-4968-adb8-417833c62656', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:48:00.9342810Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:48:00.9344170Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:48:00.9392979Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:48:00.9393596Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:48:00.9453236Z INFO 12-04 09:48:00 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:48:00.9456862Z INFO 12-04 09:48:00 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:48:00.9462499Z INFO 12-04 09:48:00 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:48:00.9464136Z INFO 12-04 09:48:00 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:48:01.1270248Z WARNING 12-04 09:48:01 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:48:01.1271855Z WARNING 12-04 09:48:01 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:48:01.1291969Z INFO 12-04 09:48:01 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:48:01.1292616Z INFO 12-04 09:48:01 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:48:01.1293657Z WARNING 12-04 09:48:01 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:48:01.1295041Z WARNING 12-04 09:48:01 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:48:01.2130833Z INFO 12-04 09:48:01 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_e0b24c2a'), local_subscribe_addr='ipc:///tmp/332d1ddf-8ccd-4a10-9426-b80c28531cba', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:48:01.2155537Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:48:01.2156047Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:48:01.2166356Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:48:01.2174678Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:48:01.2825991Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:48:01.2838863Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:48:01.2852735Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:48:01.2854098Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:48:01.2855521Z INFO 12-04 09:48:01 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:48:01.2856359Z INFO 12-04 09:48:01 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:48:01.2857133Z INFO 12-04 09:48:01 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:48:01.2857891Z INFO 12-04 09:48:01 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:48:01.3197565Z INFO 12-04 09:48:01 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:48:01.3198328Z INFO 12-04 09:48:01 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:48:01.5444627Z INFO 12-04 09:48:01 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:48:01.5654969Z INFO 12-04 09:48:01 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:48:01.5751957Z (Worker_TP1 pid=41320) INFO 12-04 09:48:01 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:48:01.5979792Z (Worker_TP0 pid=41319) INFO 12-04 09:48:01 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:48:01.7826674Z (Worker_TP1 pid=41320) INFO 12-04 09:48:01 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:48:01.8263829Z (Worker_TP0 pid=41319) INFO 12-04 09:48:01 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:48:01.8706550Z (Worker_TP1 pid=41320) INFO 12-04 09:48:01 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:48:01.9154676Z (Worker_TP0 pid=41319) INFO 12-04 09:48:01 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:48:02.3157861Z (Worker_TP1 pid=41320) INFO 12-04 09:48:02 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.116214 seconds 2025-12-04T09:48:02.4123625Z (Worker_TP0 pid=41319) INFO 12-04 09:48:02 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.117142 seconds 2025-12-04T09:48:04.7351660Z (Worker_TP0 pid=41319) INFO 12-04 09:48:04 [gpu_worker.py:314] Available KV cache memory: 18.53 GiB 2025-12-04T09:48:04.7966445Z (Worker_TP1 pid=41320) INFO 12-04 09:48:04 [gpu_worker.py:314] Available KV cache memory: 18.53 GiB 2025-12-04T09:48:05.0202305Z (EngineCore_DP0 pid=41200) INFO 12-04 09:48:05 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,464 tokens 2025-12-04T09:48:05.0203237Z (EngineCore_DP0 pid=41200) INFO 12-04 09:48:05 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.00x 2025-12-04T09:48:05.0204083Z (EngineCore_DP0 pid=41200) INFO 12-04 09:48:05 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,464 tokens 2025-12-04T09:48:05.0204922Z (EngineCore_DP0 pid=41200) INFO 12-04 09:48:05 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.00x 2025-12-04T09:48:05.2062222Z (EngineCore_DP0 pid=41200) INFO 12-04 09:48:05 [core.py:240] init engine (profile, create kv cache, warmup model) took 2.70 seconds 2025-12-04T09:48:05.7083853Z (EngineCore_DP0 pid=41200) INFO 12-04 09:48:05 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:48:05.8942743Z (APIServer pid=41078) INFO 12-04 09:48:05 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 75904 2025-12-04T09:48:05.9096954Z (EngineCore_DP0 pid=41200) INFO 12-04 09:48:05 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:48:05.9304235Z (APIServer pid=41078) INFO 12-04 09:48:05 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:48:05.9557502Z (APIServer pid=41078) WARNING 12-04 09:48:05 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:48:05.9559081Z (APIServer pid=41078) INFO 12-04 09:48:05 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:48:05.9815261Z (APIServer pid=41078) INFO 12-04 09:48:05 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:48:06.0014585Z (APIServer pid=41078) INFO 12-04 09:48:06 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:48:06.0015741Z (APIServer pid=41078) INFO 12-04 09:48:06 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:34773 2025-12-04T09:48:06.0016513Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:38] Available routes are: 2025-12-04T09:48:06.0017342Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD 2025-12-04T09:48:06.0018029Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /docs, Methods: GET, HEAD 2025-12-04T09:48:06.0019043Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD 2025-12-04T09:48:06.0020048Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /redoc, Methods: GET, HEAD 2025-12-04T09:48:06.0020995Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:48:06.0021774Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:48:06.0022528Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:48:06.0023179Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:48:06.0023846Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:48:06.0024531Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:48:06.0025131Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:48:06.0025657Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:48:06.0026204Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:48:06.0026790Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:48:06.0027433Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:48:06.0028043Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:48:06.0028603Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:48:06.0029335Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:48:06.0029880Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:48:06.0030419Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:48:06.0030945Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:48:06.0031491Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:48:06.0032068Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:48:06.0032662Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:48:06.0033208Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:48:06.0033739Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:48:06.0034277Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:48:06.0034830Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:48:06.0035604Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:48:06.0036177Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:48:06.0036713Z (APIServer pid=41078) INFO 12-04 09:48:06 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:48:06.0172836Z (APIServer pid=41078) INFO: Started server process [41078] 2025-12-04T09:48:06.0173474Z (APIServer pid=41078) INFO: Waiting for application startup. 2025-12-04T09:48:06.2303052Z (APIServer pid=41078) INFO: Application startup complete. 2025-12-04T09:48:06.4158390Z (APIServer pid=41078) INFO: 127.0.0.1:41548 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:48:06.4243056Z (APIServer pid=41078) INFO: 127.0.0.1:41550 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:48:06.6567195Z (APIServer pid=41078) INFO: 127.0.0.1:41550 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:48:06.7148063Z (APIServer pid=41078) INFO: 127.0.0.1:41550 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:48:06.8041827Z (APIServer pid=41078) INFO: 127.0.0.1:41550 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:48:06.8804028Z (APIServer pid=41078) INFO: 127.0.0.1:41550 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:48:06.9528807Z (APIServer pid=41078) INFO: 127.0.0.1:41550 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:48:06.9609385Z (APIServer pid=41078) INFO: 127.0.0.1:41550 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:48:07.0384978Z (APIServer pid=41078) INFO 12-04 09:48:07 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:48:07.0389436Z (Worker_TP0 pid=41319) INFO 12-04 09:48:07 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:48:07.0390726Z (Worker_TP0 pid=41319) INFO 12-04 09:48:07 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:48:07.0393912Z (Worker_TP1 pid=41320) INFO 12-04 09:48:07 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:48:07.0395075Z (Worker_TP1 pid=41320) INFO 12-04 09:48:07 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:48:09.0563997Z (APIServer pid=41078) INFO: Shutting down 2025-12-04T09:48:09.1568136Z (APIServer pid=41078) INFO: Waiting for application shutdown. 2025-12-04T09:48:09.1570034Z (APIServer pid=41078) INFO: Application shutdown complete. 2025-12-04T09:48:09.7227635Z PASSED 2025-12-04T09:48:09.7371387Z distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup11-ray-auto-test_options11] Fork a new process to run a test 41531 2025-12-04T09:48:09.7386981Z Fork a new process to run a test 0 2025-12-04T09:48:10.4425854Z INFO 12-04 09:48:10 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:48:10.4426975Z `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:48:10.4427839Z WARNING 12-04 09:48:10 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:48:10.4428709Z INFO 12-04 09:48:10 [model.py:1714] Using max model len 2048 2025-12-04T09:48:10.4431139Z Launching RemoteOpenAIServer with: vllm serve meta-llama/Llama-3.2-1B-Instruct --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enable-chunked-prefill --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --pipeline-parallel-size 1 --distributed-executor-backend ray --compilation_config {"level": 3, "custom_ops": ["+rms_norm"], "compile_sizes": [4, 8], "pass_config": {"enable_sequence_parallelism": true, "enable_fusion": false, "enable_noop": true}} --load-format dummy --port 52269 --seed 0 2025-12-04T09:48:13.3220870Z INFO 12-04 09:48:13 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:48:16.9541439Z (APIServer pid=41580) INFO 12-04 09:48:16 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:48:16.9569768Z (APIServer pid=41580) INFO 12-04 09:48:16 [utils.py:239] non-default args: {'model_tag': 'meta-llama/Llama-3.2-1B-Instruct', 'port': 52269, 'model': 'meta-llama/Llama-3.2-1B-Instruct', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'ray', 'tensor_parallel_size': 2, 'max_num_seqs': 8, 'enable_chunked_prefill': True, 'compilation_config': {'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm'], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [4, 8], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': None, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': None, 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': None, 'local_cache_dir': None}} 2025-12-04T09:48:17.1093044Z (APIServer pid=41580) INFO 12-04 09:48:17 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:48:17.1093888Z (APIServer pid=41580) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:48:17.1094595Z (APIServer pid=41580) WARNING 12-04 09:48:17 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:48:17.1095283Z (APIServer pid=41580) INFO 12-04 09:48:17 [model.py:1714] Using max model len 2048 2025-12-04T09:48:17.2774377Z (APIServer pid=41580) INFO 12-04 09:48:17 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:48:17.2780298Z (APIServer pid=41580) INFO 12-04 09:48:17 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:48:20.6977920Z INFO 12-04 09:48:20 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:48:24.4555857Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:24 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:48:24.4807905Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:24 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='meta-llama/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-1B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-1B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm', '+rms_norm'], 'splitting_ops': ['vllm.unified_attention', 'vllm.unified_attention_with_output', 'vllm.unified_mla_attention', 'vllm.unified_mla_attention_with_output', 'vllm.mamba_mixer2', 'vllm.mamba_mixer', 'vllm.short_conv', 'vllm.linear_attention', 'vllm.plamo2_mamba_mixer', 'vllm.gdn_attention', 'vllm.sparse_attn_indexer'], 'use_inductor': True, 'compile_sizes': [8, 4], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:48:26.3895463Z (EngineCore_DP0 pid=41702) 2025-12-04 09:48:26,388 INFO worker.py:1918 -- Started a local Ray instance. View the dashboard at http://127.0.0.1:8265  2025-12-04T09:48:27.2877565Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:27 [ray_utils.py:373] No current placement group found. Creating a new placement group. 2025-12-04T09:48:27.4653727Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:27 [ray_distributed_executor.py:179] use_ray_spmd_worker: True 2025-12-04T09:48:30.2514795Z (EngineCore_DP0 pid=41702) (pid=42594) INFO 12-04 09:48:30 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:48:31.9061236Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:31 [ray_env.py:67] RAY_NON_CARRY_OVER_ENV_VARS from config: set() 2025-12-04T09:48:31.9063829Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:31 [ray_env.py:70] Copying the following environment variables to workers: ['LD_LIBRARY_PATH', 'VLLM_USE_RAY_COMPILED_DAG', 'HUGGING_FACE_HUB_TOKEN', 'MAX_JOBS', 'VLLM_WORKER_MULTIPROC_METHOD', 'VLLM_USE_RAY_SPMD_WORKER', 'HF_TOKEN', 'VLLM_USE_V1'] 2025-12-04T09:48:31.9065575Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:31 [ray_env.py:75] If certain env vars should NOT be copied, add them to /var/lib/jenkins/.config/vllm/ray_non_carry_over_env_vars.json file 2025-12-04T09:48:35.1502104Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) WARNING 12-04 09:48:35 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. 2025-12-04T09:48:35.3584589Z (EngineCore_DP0 pid=41702) (pid=42593) INFO 12-04 09:48:30 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:48:35.5642120Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:48:35.5643791Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:48:35.5645122Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:35 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:48:35.5645909Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:35 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:48:35.7708647Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) WARNING 12-04 09:48:35 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:48:35.7709964Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:35 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:48:35.7711623Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) WARNING 12-04 09:48:35 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:48:35.7731058Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:35 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_b8553742'), local_subscribe_addr='ipc:///tmp/e14ab94d-2ae7-46f7-8a16-88ce32908779', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:48:35.9820165Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:35 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:48:36.1878417Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:36 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:48:36.2923193Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:36 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:48:36.4984089Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:36 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:48:36.6026442Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:36 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:48:37.1138087Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) INFO 12-04 09:48:37 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.168182 seconds 2025-12-04T09:48:40.2755755Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) INFO 12-04 09:48:40 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/4ca8136fbc/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:48:40.2757582Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) WARNING 12-04 09:48:35 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. 2025-12-04T09:48:40.2770721Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) INFO 12-04 09:48:40 [backends.py:608] Dynamo bytecode transform time: 2.89 s 2025-12-04T09:48:41.3000390Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) INFO 12-04 09:48:41 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.742 s 2025-12-04T09:48:41.3003010Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 [repeated 10x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.) 2025-12-04T09:48:41.3005531Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) INFO 12-04 09:48:35 [__init__.py:1146] Found nccl from library libnccl.so.2 [repeated 3x across cluster] 2025-12-04T09:48:41.3006718Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) INFO 12-04 09:48:35 [pynccl.py:109] vLLM is using nccl==2.27.5 [repeated 3x across cluster] 2025-12-04T09:48:41.3007971Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) WARNING 12-04 09:48:35 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:48:41.3009230Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) INFO 12-04 09:48:35 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:48:41.3010554Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) WARNING 12-04 09:48:35 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:48:41.3011882Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) INFO 12-04 09:48:35 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:48:41.3012838Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) INFO 12-04 09:48:36 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:48:41.3013972Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) INFO 12-04 09:48:36 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:48:41.5061411Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) INFO 12-04 09:48:36 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:48:42.6315443Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:42 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:48:42.6316670Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) INFO 12-04 09:48:36 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:48:42.6317735Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:37 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.167164 seconds 2025-12-04T09:48:42.8529170Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:42 [kv_cache_utils.py:1199] GPU KV cache size: 1,215,360 tokens 2025-12-04T09:48:42.8530899Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:42 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.44x 2025-12-04T09:48:42.8531633Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:42 [kv_cache_utils.py:1199] GPU KV cache size: 1,215,360 tokens 2025-12-04T09:48:42.8532323Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:42 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.44x 2025-12-04T09:48:42.9399551Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:42 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:48:43.6550957Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:43 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 0.729 s 2025-12-04T09:48:44.0646599Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:44 [monitor.py:33] torch.compile takes 3.00 s in total 2025-12-04T09:48:44.0763333Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:44 [core.py:240] init engine (profile, create kv cache, warmup model) took 6.93 seconds 2025-12-04T09:48:44.5689706Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:44 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:48:44.7613726Z (APIServer pid=41580) INFO 12-04 09:48:44 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 75960 2025-12-04T09:48:44.8264945Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:44 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:48:44.8525767Z (APIServer pid=41580) INFO 12-04 09:48:44 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:48:44.8796775Z (APIServer pid=41580) WARNING 12-04 09:48:44 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:48:44.8800332Z (APIServer pid=41580) INFO 12-04 09:48:44 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:48:44.9117853Z (APIServer pid=41580) INFO 12-04 09:48:44 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:48:44.9383072Z (APIServer pid=41580) INFO 12-04 09:48:44 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:48:44.9384136Z (APIServer pid=41580) INFO 12-04 09:48:44 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:52269 2025-12-04T09:48:44.9384856Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:38] Available routes are: 2025-12-04T09:48:44.9385536Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD 2025-12-04T09:48:44.9386264Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /docs, Methods: GET, HEAD 2025-12-04T09:48:44.9387251Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD 2025-12-04T09:48:44.9388007Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /redoc, Methods: GET, HEAD 2025-12-04T09:48:44.9388659Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:48:44.9389278Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:48:44.9389893Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:48:44.9390502Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:48:44.9391139Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:48:44.9391804Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:48:44.9392373Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:48:44.9392877Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:48:44.9393418Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:48:44.9393997Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:48:44.9394620Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:48:44.9395229Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:48:44.9395961Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:48:44.9396510Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:48:44.9397035Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:48:44.9397552Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:48:44.9398080Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:48:44.9398592Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:48:44.9399248Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:48:44.9399837Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:48:44.9400372Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:48:44.9400889Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:48:44.9401423Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:48:44.9401970Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:48:44.9402536Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:48:44.9403089Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:48:44.9403606Z (APIServer pid=41580) INFO 12-04 09:48:44 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:48:44.9542575Z (APIServer pid=41580) INFO: Started server process [41580] 2025-12-04T09:48:44.9544221Z (APIServer pid=41580) INFO: Waiting for application startup. 2025-12-04T09:48:45.1768145Z (APIServer pid=41580) INFO: Application startup complete. 2025-12-04T09:48:45.5397302Z (APIServer pid=41580) INFO: 127.0.0.1:49180 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:48:45.7914188Z (APIServer pid=41580) INFO: 127.0.0.1:49186 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:48:45.8216260Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:45 [ray_distributed_executor.py:569] RAY_CGRAPH_get_timeout is set to 300 2025-12-04T09:48:45.8218076Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:45 [ray_distributed_executor.py:573] VLLM_USE_RAY_COMPILED_DAG_CHANNEL_TYPE = auto 2025-12-04T09:48:45.8219974Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:45 [ray_distributed_executor.py:577] VLLM_USE_RAY_COMPILED_DAG_OVERLAP_COMM = False 2025-12-04T09:48:45.8222950Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:45 [ray_distributed_executor.py:653] Using RayPPCommunicator (which wraps vLLM _PP GroupCoordinator) for Ray Compiled Graph communication. 2025-12-04T09:48:45.9982725Z (APIServer pid=41580) INFO: 127.0.0.1:49186 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:48:46.0585362Z (APIServer pid=41580) INFO: 127.0.0.1:49186 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:48:46.2061355Z (APIServer pid=41580) INFO: 127.0.0.1:49186 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:48:46.2954790Z (APIServer pid=41580) INFO: 127.0.0.1:49186 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:48:46.3528165Z (APIServer pid=41580) INFO: 127.0.0.1:49186 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:48:46.3608098Z (APIServer pid=41580) INFO: 127.0.0.1:49186 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:48:46.4576608Z (APIServer pid=41580) INFO 12-04 09:48:46 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:48:46.4577159Z *** SIGTERM received at time=1764841726 on cpu 44 *** 2025-12-04T09:48:46.4628189Z PC: @ 0x7fbf694b9117 (unknown) (unknown) 2025-12-04T09:48:46.4629461Z @ 0x7fbf6946a520 (unknown) (unknown) 2025-12-04T09:48:46.4629945Z [2025-12-04 09:48:46,462 E 41702 41702] logging.cc:501: *** SIGTERM received at time=1764841726 on cpu 44 *** 2025-12-04T09:48:46.4631520Z [2025-12-04 09:48:46,463 E 41702 41702] logging.cc:501: PC: @ 0x7fbf694b9117 (unknown) (unknown) 2025-12-04T09:48:46.4633078Z [2025-12-04 09:48:46,463 E 41702 41702] logging.cc:501: @ 0x7fbf6946a520 (unknown) (unknown) 2025-12-04T09:48:46.4635126Z (EngineCore_DP0 pid=41702) INFO 12-04 09:48:46 [ray_distributed_executor.py:127] Shutting down Ray distributed executor. If you see error log from logging.cc regarding SIGTERM received, please ignore because this is the expected termination process in Ray. 2025-12-04T09:48:46.4636227Z (EngineCore_DP0 pid=41702) 2025-12-04 09:48:46,463 INFO compiled_dag_node.py:2171 -- Tearing down compiled DAG 2025-12-04T09:48:46.4637469Z (EngineCore_DP0 pid=41702) 2025-12-04 09:48:46,463 INFO compiled_dag_node.py:2176 -- Cancelling compiled worker on actor: Actor(RayWorkerWrapper, e7b77cf672736af4a03b673401000000) 2025-12-04T09:48:46.4638513Z (EngineCore_DP0 pid=41702) 2025-12-04 09:48:46,463 INFO compiled_dag_node.py:2176 -- Cancelling compiled worker on actor: Actor(RayWorkerWrapper, fca9f8310001c10d583b143a01000000) 2025-12-04T09:48:46.4681053Z (EngineCore_DP0 pid=41702) 2025-12-04 09:48:46,467 INFO compiled_dag_node.py:2198 -- Waiting for worker tasks to exit 2025-12-04T09:48:46.4682755Z (EngineCore_DP0 pid=41702) 2025-12-04 09:48:46,468 INFO compiled_dag_node.py:2201 -- Teardown complete 2025-12-04T09:48:46.9707676Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:40 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/4ca8136fbc/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:48:46.9709139Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:40 [backends.py:608] Dynamo bytecode transform time: 3.00 s 2025-12-04T09:48:46.9710323Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42594) INFO 12-04 09:48:41 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.775 s 2025-12-04T09:48:46.9711469Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) INFO 12-04 09:48:42 [gpu_worker.py:314] Available KV cache memory: 18.54 GiB 2025-12-04T09:48:46.9712609Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) INFO 12-04 09:48:43 [gpu_worker.py:351] Compile and warming up model for size 4 [repeated 3x across cluster] 2025-12-04T09:48:46.9714069Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) INFO 12-04 09:48:44 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 0.463 s [repeated 3x across cluster] 2025-12-04T09:48:46.9715028Z (EngineCore_DP0 pid=41702) (RayWorkerWrapper pid=42593) INFO 12-04 09:48:44 [monitor.py:33] torch.compile takes 2.89 s in total 2025-12-04T09:48:48.8744134Z (APIServer pid=41580) INFO: Shutting down 2025-12-04T09:48:48.9746799Z (APIServer pid=41580) INFO: Waiting for application shutdown. 2025-12-04T09:48:48.9748702Z (APIServer pid=41580) INFO: Application shutdown complete. 2025-12-04T09:48:49.3275940Z INFO 12-04 09:48:49 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:48:49.3277351Z WARNING 12-04 09:48:49 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:48:49.3278207Z INFO 12-04 09:48:49 [model.py:1714] Using max model len 2048 2025-12-04T09:48:49.3280868Z Launching RemoteOpenAIServer with: vllm serve meta-llama/Llama-3.2-1B-Instruct --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enable-chunked-prefill --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --distributed-executor-backend mp --load-format dummy --port 35847 --seed 0 2025-12-04T09:48:52.2146550Z INFO 12-04 09:48:52 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:48:55.9000254Z (APIServer pid=46325) INFO 12-04 09:48:55 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:48:55.9024549Z (APIServer pid=46325) INFO 12-04 09:48:55 [utils.py:239] non-default args: {'model_tag': 'meta-llama/Llama-3.2-1B-Instruct', 'port': 35847, 'model': 'meta-llama/Llama-3.2-1B-Instruct', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'mp', 'tensor_parallel_size': 2, 'max_num_seqs': 8, 'enable_chunked_prefill': True} 2025-12-04T09:48:56.0476016Z (APIServer pid=46325) INFO 12-04 09:48:56 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:48:56.0476727Z (APIServer pid=46325) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:48:56.0477427Z (APIServer pid=46325) WARNING 12-04 09:48:56 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:48:56.0478131Z (APIServer pid=46325) INFO 12-04 09:48:56 [model.py:1714] Using max model len 2048 2025-12-04T09:48:56.2085723Z (APIServer pid=46325) INFO 12-04 09:48:56 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:48:56.2090777Z (APIServer pid=46325) INFO 12-04 09:48:56 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:48:59.6077133Z INFO 12-04 09:48:59 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:49:03.2368577Z (EngineCore_DP0 pid=46447) INFO 12-04 09:49:03 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:49:03.2639725Z (EngineCore_DP0 pid=46447) INFO 12-04 09:49:03 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='meta-llama/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-1B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-1B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 0, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': [], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:49:03.2646157Z (EngineCore_DP0 pid=46447) WARNING 12-04 09:49:03 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:49:03.2652557Z (EngineCore_DP0 pid=46447) INFO 12-04 09:49:03 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_0601fbf3'), local_subscribe_addr='ipc:///tmp/b4b99618-3057-46ef-ac1d-4a99a86d0505', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:49:06.1970981Z INFO 12-04 09:49:06 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:49:06.2478955Z INFO 12-04 09:49:06 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:49:11.3834641Z INFO 12-04 09:49:11 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_45afc813'), local_subscribe_addr='ipc:///tmp/2872c244-9498-42e8-817e-2a977ac33333', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:49:11.4229076Z INFO 12-04 09:49:11 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_f35c977f'), local_subscribe_addr='ipc:///tmp/ebc8e707-747f-4536-ba9a-40146b606a9f', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:49:12.0722594Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:12.0723250Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:12.0765582Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:12.0766121Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:12.0811151Z INFO 12-04 09:49:12 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:49:12.0812099Z INFO 12-04 09:49:12 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:49:12.0825439Z INFO 12-04 09:49:12 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:49:12.0829076Z INFO 12-04 09:49:12 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:49:12.2576175Z WARNING 12-04 09:49:12 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:49:12.2577048Z WARNING 12-04 09:49:12 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:49:12.2597950Z INFO 12-04 09:49:12 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:49:12.2598598Z INFO 12-04 09:49:12 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:49:12.2599764Z WARNING 12-04 09:49:12 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:49:12.2601177Z WARNING 12-04 09:49:12 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:49:12.4130507Z INFO 12-04 09:49:12 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_0547de9b'), local_subscribe_addr='ipc:///tmp/bb70ed64-fdaa-4143-86cd-7d3ce858a828', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:49:12.4158386Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:49:12.4159207Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:49:12.4165912Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:49:12.4174983Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:49:12.5025658Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:49:12.5033978Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:49:12.5046352Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:12.5047957Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:12.5049409Z INFO 12-04 09:49:12 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:49:12.5050269Z INFO 12-04 09:49:12 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:49:12.5051059Z INFO 12-04 09:49:12 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:49:12.5051819Z INFO 12-04 09:49:12 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:49:12.5399320Z INFO 12-04 09:49:12 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:49:12.5399976Z INFO 12-04 09:49:12 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:49:12.7608943Z INFO 12-04 09:49:12 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:49:12.7902522Z INFO 12-04 09:49:12 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:49:12.7932096Z (Worker_TP0 pid=46566) INFO 12-04 09:49:12 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:49:12.8230792Z (Worker_TP1 pid=46567) INFO 12-04 09:49:12 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:49:13.0048539Z (Worker_TP0 pid=46566) INFO 12-04 09:49:13 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:49:13.0547974Z (Worker_TP1 pid=46567) INFO 12-04 09:49:13 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:49:13.0938918Z (Worker_TP0 pid=46566) INFO 12-04 09:49:13 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:49:13.1432288Z (Worker_TP1 pid=46567) INFO 12-04 09:49:13 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:49:13.5374964Z (Worker_TP0 pid=46566) INFO 12-04 09:49:13 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.116907 seconds 2025-12-04T09:49:13.6283064Z (Worker_TP1 pid=46567) INFO 12-04 09:49:13 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.117083 seconds 2025-12-04T09:49:15.8671596Z (Worker_TP0 pid=46566) INFO 12-04 09:49:15 [gpu_worker.py:314] Available KV cache memory: 18.53 GiB 2025-12-04T09:49:15.9652216Z (Worker_TP1 pid=46567) INFO 12-04 09:49:15 [gpu_worker.py:314] Available KV cache memory: 18.53 GiB 2025-12-04T09:49:16.2087591Z (EngineCore_DP0 pid=46447) INFO 12-04 09:49:16 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,464 tokens 2025-12-04T09:49:16.2088557Z (EngineCore_DP0 pid=46447) INFO 12-04 09:49:16 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.00x 2025-12-04T09:49:16.2089426Z (EngineCore_DP0 pid=46447) INFO 12-04 09:49:16 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,464 tokens 2025-12-04T09:49:16.2090265Z (EngineCore_DP0 pid=46447) INFO 12-04 09:49:16 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.00x 2025-12-04T09:49:16.3987397Z (EngineCore_DP0 pid=46447) INFO 12-04 09:49:16 [core.py:240] init engine (profile, create kv cache, warmup model) took 2.71 seconds 2025-12-04T09:49:16.8998680Z (EngineCore_DP0 pid=46447) INFO 12-04 09:49:16 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:49:17.0855704Z (APIServer pid=46325) INFO 12-04 09:49:17 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 75904 2025-12-04T09:49:17.0995081Z (EngineCore_DP0 pid=46447) INFO 12-04 09:49:17 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:49:17.1207166Z (APIServer pid=46325) INFO 12-04 09:49:17 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:49:17.1483081Z (APIServer pid=46325) WARNING 12-04 09:49:17 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:49:17.1485464Z (APIServer pid=46325) INFO 12-04 09:49:17 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:49:17.1805233Z (APIServer pid=46325) INFO 12-04 09:49:17 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:49:17.2141018Z (APIServer pid=46325) INFO 12-04 09:49:17 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:49:17.2143314Z (APIServer pid=46325) INFO 12-04 09:49:17 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:35847 2025-12-04T09:49:17.2145411Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:38] Available routes are: 2025-12-04T09:49:17.2146037Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD 2025-12-04T09:49:17.2146657Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /docs, Methods: GET, HEAD 2025-12-04T09:49:17.2147357Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD 2025-12-04T09:49:17.2148073Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /redoc, Methods: GET, HEAD 2025-12-04T09:49:17.2148896Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:49:17.2149446Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:49:17.2149946Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:49:17.2150438Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:49:17.2150950Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:49:17.2151474Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:49:17.2151995Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:49:17.2152504Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:49:17.2153038Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:49:17.2153623Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:49:17.2154253Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:49:17.2154864Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:49:17.2155429Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:49:17.2155965Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:49:17.2156699Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:49:17.2157242Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:49:17.2157749Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:49:17.2158262Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:49:17.2158830Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:49:17.2159521Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:49:17.2160074Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:49:17.2160598Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:49:17.2161122Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:49:17.2161676Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:49:17.2162263Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:49:17.2162809Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:49:17.2163333Z (APIServer pid=46325) INFO 12-04 09:49:17 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:49:17.2306706Z (APIServer pid=46325) INFO: Started server process [46325] 2025-12-04T09:49:17.2307933Z (APIServer pid=46325) INFO: Waiting for application startup. 2025-12-04T09:49:17.4446180Z (APIServer pid=46325) INFO: Application startup complete. 2025-12-04T09:49:17.9028880Z (APIServer pid=46325) INFO: 127.0.0.1:39806 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:49:17.9119893Z (APIServer pid=46325) INFO: 127.0.0.1:39814 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:49:18.1485080Z (APIServer pid=46325) INFO: 127.0.0.1:39814 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:49:18.2055611Z (APIServer pid=46325) INFO: 127.0.0.1:39814 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:49:18.3022168Z (APIServer pid=46325) INFO: 127.0.0.1:39814 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:49:18.3768093Z (APIServer pid=46325) INFO: 127.0.0.1:39814 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:49:18.4374713Z (APIServer pid=46325) INFO: 127.0.0.1:39814 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:49:18.4452663Z (APIServer pid=46325) INFO: 127.0.0.1:39814 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:49:18.5214882Z (APIServer pid=46325) INFO 12-04 09:49:18 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:49:18.5218204Z (Worker_TP0 pid=46566) INFO 12-04 09:49:18 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:49:18.5220114Z (Worker_TP0 pid=46566) INFO 12-04 09:49:18 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:49:18.5225227Z (Worker_TP1 pid=46567) INFO 12-04 09:49:18 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:49:18.5226792Z (Worker_TP1 pid=46567) INFO 12-04 09:49:18 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:49:20.7343802Z (APIServer pid=46325) INFO: Shutting down 2025-12-04T09:49:20.8348618Z (APIServer pid=46325) INFO: Waiting for application shutdown. 2025-12-04T09:49:20.8350124Z (APIServer pid=46325) INFO: Application shutdown complete. 2025-12-04T09:49:21.3982843Z PASSED 2025-12-04T09:49:21.4126810Z distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup12-mp-auto-test_options12] Fork a new process to run a test 46778 2025-12-04T09:49:21.4141304Z Fork a new process to run a test 0 2025-12-04T09:49:22.0467017Z INFO 12-04 09:49:22 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:49:22.0468325Z `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:49:22.0469087Z WARNING 12-04 09:49:22 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:49:22.0469842Z INFO 12-04 09:49:22 [model.py:1714] Using max model len 2048 2025-12-04T09:49:22.0474050Z Launching RemoteOpenAIServer with: vllm serve meta-llama/Llama-3.2-1B-Instruct --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --pipeline-parallel-size 2 --distributed-executor-backend mp --compilation_config {"level": 3, "custom_ops": ["+rms_norm"], "compile_sizes": [4, 8], "pass_config": {"enable_sequence_parallelism": true, "enable_fusion": false, "enable_noop": true}} --load-format dummy --port 40987 --seed 0 2025-12-04T09:49:24.9131958Z INFO 12-04 09:49:24 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:49:28.5421244Z (APIServer pid=46827) INFO 12-04 09:49:28 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:49:28.5448380Z (APIServer pid=46827) INFO 12-04 09:49:28 [utils.py:239] non-default args: {'model_tag': 'meta-llama/Llama-3.2-1B-Instruct', 'port': 40987, 'model': 'meta-llama/Llama-3.2-1B-Instruct', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'mp', 'pipeline_parallel_size': 2, 'tensor_parallel_size': 2, 'max_num_seqs': 8, 'compilation_config': {'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm'], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [4, 8], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': None, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': None, 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': None, 'local_cache_dir': None}} 2025-12-04T09:49:28.7257291Z (APIServer pid=46827) INFO 12-04 09:49:28 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:49:28.7258020Z (APIServer pid=46827) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:49:28.7258709Z (APIServer pid=46827) WARNING 12-04 09:49:28 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:49:28.7259419Z (APIServer pid=46827) INFO 12-04 09:49:28 [model.py:1714] Using max model len 2048 2025-12-04T09:49:28.8947917Z (APIServer pid=46827) INFO 12-04 09:49:28 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:49:28.8953891Z (APIServer pid=46827) INFO 12-04 09:49:28 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:49:32.2456134Z INFO 12-04 09:49:32 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:49:35.8815211Z (EngineCore_DP0 pid=46949) INFO 12-04 09:49:35 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:49:35.9090026Z (EngineCore_DP0 pid=46949) INFO 12-04 09:49:35 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='meta-llama/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-1B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=2, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-1B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm', '+rms_norm'], 'splitting_ops': ['vllm.unified_attention', 'vllm.unified_attention_with_output', 'vllm.unified_mla_attention', 'vllm.unified_mla_attention_with_output', 'vllm.mamba_mixer2', 'vllm.mamba_mixer', 'vllm.short_conv', 'vllm.linear_attention', 'vllm.plamo2_mamba_mixer', 'vllm.gdn_attention', 'vllm.sparse_attn_indexer'], 'use_inductor': True, 'compile_sizes': [8, 4], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:49:35.9096401Z (EngineCore_DP0 pid=46949) WARNING 12-04 09:49:35 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:49:35.9098193Z (EngineCore_DP0 pid=46949) INFO 12-04 09:49:35 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1, 2, 3], buffer_handle=(4, 16777216, 10, 'psm_9cd0502f'), local_subscribe_addr='ipc:///tmp/07113925-6a68-4112-93ce-787f78fa970c', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:49:38.8326085Z INFO 12-04 09:49:38 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:49:38.8846147Z INFO 12-04 09:49:38 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:49:38.9112646Z INFO 12-04 09:49:38 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:49:39.0256854Z INFO 12-04 09:49:39 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:49:44.1429711Z INFO 12-04 09:49:44 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_c8574b51'), local_subscribe_addr='ipc:///tmp/c1703ba0-7fb0-4a62-a574-8ef84071b00e', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:49:44.1515030Z INFO 12-04 09:49:44 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_ffc977e3'), local_subscribe_addr='ipc:///tmp/6986765a-727c-498a-8834-889adfd6a9ec', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:49:44.1831141Z INFO 12-04 09:49:44 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_3f0e8310'), local_subscribe_addr='ipc:///tmp/7e15e4ea-c412-4a09-904a-b495fa9fb59f', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:49:44.2629358Z INFO 12-04 09:49:44 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_af5f33be'), local_subscribe_addr='ipc:///tmp/b41dc08c-7088-4fc4-a7cc-1a82451ce4a9', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:49:44.5041481Z [Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:49:44.5042533Z [Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:49:44.5043201Z [Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:49:44.5043776Z [Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:49:44.5089013Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:44.5090288Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:44.5091366Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:44.5092451Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:44.5132884Z INFO 12-04 09:49:44 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:49:44.5133388Z INFO 12-04 09:49:44 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:49:44.5133837Z INFO 12-04 09:49:44 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:49:44.5134984Z INFO 12-04 09:49:44 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:49:44.5135362Z INFO 12-04 09:49:44 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:49:44.5135726Z INFO 12-04 09:49:44 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:49:44.5141760Z INFO 12-04 09:49:44 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:49:44.5144250Z INFO 12-04 09:49:44 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:49:44.7000696Z WARNING 12-04 09:49:44 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:49:44.7002412Z WARNING 12-04 09:49:44 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:49:44.7024037Z INFO 12-04 09:49:44 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:49:44.7024958Z INFO 12-04 09:49:44 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:49:44.7025967Z WARNING 12-04 09:49:44 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:49:44.7027353Z WARNING 12-04 09:49:44 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:49:44.7041381Z INFO 12-04 09:49:44 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_f9476ace'), local_subscribe_addr='ipc:///tmp/6205564b-accc-482c-a019-06530a2e3919', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:49:44.7689883Z WARNING 12-04 09:49:44 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:49:44.7690724Z WARNING 12-04 09:49:44 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:49:44.7713604Z INFO 12-04 09:49:44 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:49:44.7714819Z INFO 12-04 09:49:44 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:49:44.7716729Z WARNING 12-04 09:49:44 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:49:44.7719968Z WARNING 12-04 09:49:44 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:49:44.7736505Z INFO 12-04 09:49:44 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_7ed43728'), local_subscribe_addr='ipc:///tmp/23641476-95d8-4364-af6b-1b4db39c41e2', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:49:44.7757582Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:49:44.8124621Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:49:44.8223369Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:49:44.8238949Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:44.8239678Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:44.8242162Z INFO 12-04 09:49:44 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:49:44.8242679Z INFO 12-04 09:49:44 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:49:44.8243094Z INFO 12-04 09:49:44 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:49:44.8243494Z INFO 12-04 09:49:44 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:49:44.8590303Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:49:44.8590955Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:49:44.8824021Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:49:44.8837550Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:44.8838178Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:44.8841335Z INFO 12-04 09:49:44 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:49:44.8841815Z INFO 12-04 09:49:44 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:49:44.8843199Z INFO 12-04 09:49:44 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:49:44.8843762Z INFO 12-04 09:49:44 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:49:44.9206457Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:49:44.9206964Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:49:44.9217418Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:44.9218122Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:44.9218717Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:44.9219277Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:49:44.9220476Z INFO 12-04 09:49:44 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:49:44.9221044Z INFO 12-04 09:49:44 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:49:44.9221457Z INFO 12-04 09:49:44 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:49:44.9222103Z INFO 12-04 09:49:44 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:49:44.9222525Z INFO 12-04 09:49:44 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:49:44.9222920Z INFO 12-04 09:49:44 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:49:44.9223312Z INFO 12-04 09:49:44 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:49:44.9223982Z INFO 12-04 09:49:44 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:49:44.9658672Z INFO 12-04 09:49:44 [parallel_state.py:1231] rank 3 in world size 4 is assigned as DP rank 0, PP rank 1, TP rank 1, EP rank 1 2025-12-04T09:49:44.9659304Z INFO 12-04 09:49:44 [parallel_state.py:1231] rank 2 in world size 4 is assigned as DP rank 0, PP rank 1, TP rank 0, EP rank 0 2025-12-04T09:49:44.9659873Z INFO 12-04 09:49:44 [parallel_state.py:1231] rank 1 in world size 4 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:49:44.9660416Z INFO 12-04 09:49:44 [parallel_state.py:1231] rank 0 in world size 4 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:49:45.2238848Z INFO 12-04 09:49:45 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:49:45.2253054Z INFO 12-04 09:49:45 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:49:45.2256579Z INFO 12-04 09:49:45 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:49:45.2268199Z INFO 12-04 09:49:45 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:49:45.2543432Z (Worker_PP1_TP0 pid=47070) INFO 12-04 09:49:45 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:49:45.2576143Z (Worker_PP0_TP1 pid=47069) INFO 12-04 09:49:45 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:49:45.2577134Z (Worker_PP1_TP1 pid=47071) INFO 12-04 09:49:45 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:49:45.2578046Z (Worker_PP0_TP0 pid=47068) INFO 12-04 09:49:45 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:49:45.4718711Z (Worker_PP1_TP0 pid=47070) INFO 12-04 09:49:45 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:49:45.4905818Z (Worker_PP0_TP0 pid=47068) INFO 12-04 09:49:45 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:49:45.5008283Z (Worker_PP1_TP1 pid=47071) INFO 12-04 09:49:45 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:49:45.5107377Z (Worker_PP0_TP1 pid=47069) INFO 12-04 09:49:45 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:49:45.5622709Z (Worker_PP1_TP0 pid=47070) INFO 12-04 09:49:45 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:49:45.5819842Z (Worker_PP0_TP0 pid=47068) INFO 12-04 09:49:45 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:49:45.5912996Z (Worker_PP1_TP1 pid=47071) INFO 12-04 09:49:45 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:49:45.6012088Z (Worker_PP0_TP1 pid=47069) INFO 12-04 09:49:45 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:49:46.0589039Z (Worker_PP1_TP0 pid=47070) INFO 12-04 09:49:46 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.155316 seconds 2025-12-04T09:49:46.1391255Z (Worker_PP0_TP0 pid=47068) INFO 12-04 09:49:46 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.155409 seconds 2025-12-04T09:49:46.1506664Z (Worker_PP1_TP1 pid=47071) INFO 12-04 09:49:46 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.154377 seconds 2025-12-04T09:49:46.1662644Z (Worker_PP0_TP1 pid=47069) INFO 12-04 09:49:46 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.152877 seconds 2025-12-04T09:49:48.4180152Z (Worker_PP1_TP0 pid=47070) INFO 12-04 09:49:48 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/918ac42dc5/rank_2_0/backbone for vLLM's torch.compile 2025-12-04T09:49:48.4185971Z (Worker_PP1_TP0 pid=47070) INFO 12-04 09:49:48 [backends.py:608] Dynamo bytecode transform time: 2.04 s 2025-12-04T09:49:48.4700183Z (Worker_PP1_TP1 pid=47071) INFO 12-04 09:49:48 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/918ac42dc5/rank_3_0/backbone for vLLM's torch.compile 2025-12-04T09:49:48.4707821Z (Worker_PP1_TP1 pid=47071) INFO 12-04 09:49:48 [backends.py:608] Dynamo bytecode transform time: 2.06 s 2025-12-04T09:49:48.5183312Z (Worker_PP0_TP1 pid=47069) INFO 12-04 09:49:48 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/728314b73b/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:49:48.5191646Z (Worker_PP0_TP1 pid=47069) INFO 12-04 09:49:48 [backends.py:608] Dynamo bytecode transform time: 2.11 s 2025-12-04T09:49:48.5484136Z (Worker_PP0_TP0 pid=47068) INFO 12-04 09:49:48 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/728314b73b/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:49:48.5491867Z (Worker_PP0_TP0 pid=47068) INFO 12-04 09:49:48 [backends.py:608] Dynamo bytecode transform time: 2.15 s 2025-12-04T09:49:49.0137374Z (Worker_PP1_TP0 pid=47070) INFO 12-04 09:49:49 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.394 s 2025-12-04T09:49:49.0587231Z (Worker_PP1_TP1 pid=47071) INFO 12-04 09:49:49 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.388 s 2025-12-04T09:49:49.1341564Z (Worker_PP0_TP1 pid=47069) INFO 12-04 09:49:49 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.400 s 2025-12-04T09:49:49.1652690Z (Worker_PP0_TP0 pid=47068) INFO 12-04 09:49:49 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.402 s 2025-12-04T09:49:49.9659732Z (Worker_PP0_TP1 pid=47069) INFO 12-04 09:49:49 [gpu_worker.py:314] Available KV cache memory: 19.02 GiB 2025-12-04T09:49:50.0160330Z (Worker_PP0_TP0 pid=47068) INFO 12-04 09:49:50 [gpu_worker.py:314] Available KV cache memory: 19.02 GiB 2025-12-04T09:49:50.0385812Z (Worker_PP1_TP1 pid=47071) INFO 12-04 09:49:50 [gpu_worker.py:314] Available KV cache memory: 18.99 GiB 2025-12-04T09:49:50.0644852Z (Worker_PP1_TP0 pid=47070) INFO 12-04 09:49:50 [gpu_worker.py:314] Available KV cache memory: 18.99 GiB 2025-12-04T09:49:50.3284616Z (EngineCore_DP0 pid=46949) INFO 12-04 09:49:50 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:49:50.3285534Z (EngineCore_DP0 pid=46949) INFO 12-04 09:49:50 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:49:50.3286347Z (EngineCore_DP0 pid=46949) INFO 12-04 09:49:50 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:49:50.3287182Z (EngineCore_DP0 pid=46949) INFO 12-04 09:49:50 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:49:50.3287998Z (EngineCore_DP0 pid=46949) INFO 12-04 09:49:50 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:49:50.3288697Z (EngineCore_DP0 pid=46949) INFO 12-04 09:49:50 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:49:50.3289342Z (EngineCore_DP0 pid=46949) INFO 12-04 09:49:50 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:49:50.3289987Z (EngineCore_DP0 pid=46949) INFO 12-04 09:49:50 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:49:50.3356307Z (Worker_PP0_TP1 pid=47069) INFO 12-04 09:49:50 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:49:50.3357088Z (Worker_PP1_TP1 pid=47071) INFO 12-04 09:49:50 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:49:50.3358236Z (Worker_PP1_TP0 pid=47070) INFO 12-04 09:49:50 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:49:50.3358960Z (Worker_PP0_TP0 pid=47068) INFO 12-04 09:49:50 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:49:50.9911331Z (Worker_PP0_TP1 pid=47069) INFO 12-04 09:49:50 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 0.655 s 2025-12-04T09:49:50.9915323Z (Worker_PP0_TP1 pid=47069) INFO 12-04 09:49:50 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T09:49:50.9940013Z (Worker_PP0_TP0 pid=47068) INFO 12-04 09:49:50 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 0.658 s 2025-12-04T09:49:50.9945840Z (Worker_PP0_TP0 pid=47068) INFO 12-04 09:49:50 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T09:49:51.5385124Z (Worker_PP0_TP0 pid=47068) INFO 12-04 09:49:51 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 0.543 s 2025-12-04T09:49:51.5386042Z (Worker_PP0_TP0 pid=47068) INFO 12-04 09:49:51 [monitor.py:33] torch.compile takes 2.15 s in total 2025-12-04T09:49:51.5425486Z (Worker_PP0_TP1 pid=47069) INFO 12-04 09:49:51 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 0.551 s 2025-12-04T09:49:51.5426339Z (Worker_PP0_TP1 pid=47069) INFO 12-04 09:49:51 [monitor.py:33] torch.compile takes 2.11 s in total 2025-12-04T09:49:52.4433469Z (Worker_PP1_TP0 pid=47070) INFO 12-04 09:49:52 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 2.107 s 2025-12-04T09:49:52.6576051Z (Worker_PP1_TP1 pid=47071) INFO 12-04 09:49:52 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 2.322 s 2025-12-04T09:49:52.6583204Z (Worker_PP1_TP0 pid=47070) INFO 12-04 09:49:52 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T09:49:52.6583858Z (Worker_PP1_TP1 pid=47071) INFO 12-04 09:49:52 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T09:49:52.9915017Z (Worker_PP1_TP0 pid=47070) INFO 12-04 09:49:52 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 0.333 s 2025-12-04T09:49:52.9915931Z (Worker_PP1_TP0 pid=47070) INFO 12-04 09:49:52 [monitor.py:33] torch.compile takes 2.04 s in total 2025-12-04T09:49:52.9949031Z (Worker_PP1_TP1 pid=47071) INFO 12-04 09:49:52 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 0.336 s 2025-12-04T09:49:52.9949923Z (Worker_PP1_TP1 pid=47071) INFO 12-04 09:49:52 [monitor.py:33] torch.compile takes 2.06 s in total 2025-12-04T09:49:53.0028353Z (EngineCore_DP0 pid=46949) INFO 12-04 09:49:53 [core.py:240] init engine (profile, create kv cache, warmup model) took 6.83 seconds 2025-12-04T09:49:53.7224051Z (EngineCore_DP0 pid=46949) INFO 12-04 09:49:53 [core.py:178] Batch queue is enabled with size 2 2025-12-04T09:49:53.7253586Z (EngineCore_DP0 pid=46949) INFO 12-04 09:49:53 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:49:53.9104759Z (APIServer pid=46827) INFO 12-04 09:49:53 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 155568 2025-12-04T09:49:53.9226144Z (EngineCore_DP0 pid=46949) INFO 12-04 09:49:53 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:49:53.9439146Z (APIServer pid=46827) INFO 12-04 09:49:53 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:49:53.9657456Z (APIServer pid=46827) WARNING 12-04 09:49:53 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:49:53.9660378Z (APIServer pid=46827) INFO 12-04 09:49:53 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:49:53.9887165Z (APIServer pid=46827) INFO 12-04 09:49:53 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:49:54.0146559Z (APIServer pid=46827) INFO 12-04 09:49:54 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:49:54.0148099Z (APIServer pid=46827) INFO 12-04 09:49:54 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:40987 2025-12-04T09:49:54.0149203Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:38] Available routes are: 2025-12-04T09:49:54.0150213Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /openapi.json, Methods: HEAD, GET 2025-12-04T09:49:54.0151286Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /docs, Methods: HEAD, GET 2025-12-04T09:49:54.0152389Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: HEAD, GET 2025-12-04T09:49:54.0153500Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /redoc, Methods: HEAD, GET 2025-12-04T09:49:54.0154510Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:49:54.0155462Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:49:54.0156338Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:49:54.0157260Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:49:54.0158202Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:49:54.0159032Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:49:54.0160327Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:49:54.0161316Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:49:54.0162166Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:49:54.0163068Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:49:54.0164034Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:49:54.0164996Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:49:54.0165992Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:49:54.0166922Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:49:54.0167840Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:49:54.0168739Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:49:54.0169697Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:49:54.0170641Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:49:54.0171624Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:49:54.0172660Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:49:54.0173871Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:49:54.0174813Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:49:54.0175755Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:49:54.0176789Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:49:54.0177895Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:49:54.0178987Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:49:54.0179998Z (APIServer pid=46827) INFO 12-04 09:49:54 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:49:54.0313068Z (APIServer pid=46827) INFO: Started server process [46827] 2025-12-04T09:49:54.0314217Z (APIServer pid=46827) INFO: Waiting for application startup. 2025-12-04T09:49:54.2452266Z (APIServer pid=46827) INFO: Application startup complete. 2025-12-04T09:49:54.6287620Z (APIServer pid=46827) INFO: 127.0.0.1:52268 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:49:54.8751081Z (APIServer pid=46827) INFO: 127.0.0.1:52272 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:49:54.9055566Z (Worker_PP0_TP0 pid=47068) /opt/conda/envs/py_3.12/lib/python3.12/site-packages/vllm/distributed/parallel_state.py:530: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_new.cpp:1581.) 2025-12-04T09:49:54.9057756Z (Worker_PP0_TP0 pid=47068) object_tensor = torch.frombuffer(pickle.dumps(obj), dtype=torch.uint8) 2025-12-04T09:49:54.9059963Z (Worker_PP0_TP1 pid=47069) /opt/conda/envs/py_3.12/lib/python3.12/site-packages/vllm/distributed/parallel_state.py:530: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_new.cpp:1581.) 2025-12-04T09:49:54.9061853Z (Worker_PP0_TP1 pid=47069) object_tensor = torch.frombuffer(pickle.dumps(obj), dtype=torch.uint8) 2025-12-04T09:49:54.9062811Z [rank1]:[W1204 09:49:54.074124804 ProcessGroupNCCL.cpp:4068] Warning: An unbatched P2P op (send/recv) was called on this ProcessGroup with size 2. In lazy initialization mode, this will result in a new 2-rank NCCL communicator to be created. (function operator()) 2025-12-04T09:49:54.9064298Z [rank0]:[W1204 09:49:54.074146815 ProcessGroupNCCL.cpp:4068] Warning: An unbatched P2P op (send/recv) was called on this ProcessGroup with size 2. In lazy initialization mode, this will result in a new 2-rank NCCL communicator to be created. (function operator()) 2025-12-04T09:49:54.9065696Z [rank3]:[W1204 09:49:54.074233700 ProcessGroupNCCL.cpp:4068] Warning: An unbatched P2P op (send/recv) was called on this ProcessGroup with size 2. In lazy initialization mode, this will result in a new 2-rank NCCL communicator to be created. (function operator()) 2025-12-04T09:49:54.9067130Z [rank2]:[W1204 09:49:54.074299294 ProcessGroupNCCL.cpp:4068] Warning: An unbatched P2P op (send/recv) was called on this ProcessGroup with size 2. In lazy initialization mode, this will result in a new 2-rank NCCL communicator to be created. (function operator()) 2025-12-04T09:49:55.0317801Z (APIServer pid=46827) INFO: 127.0.0.1:52272 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:49:55.1032688Z (APIServer pid=46827) INFO: 127.0.0.1:52272 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:49:55.2465979Z (APIServer pid=46827) INFO: 127.0.0.1:52272 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:49:55.3397747Z (APIServer pid=46827) INFO: 127.0.0.1:52272 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:49:55.4174129Z (APIServer pid=46827) INFO: 127.0.0.1:52272 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:49:55.4256578Z (APIServer pid=46827) INFO: 127.0.0.1:52272 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:49:55.5144774Z (APIServer pid=46827) INFO 12-04 09:49:55 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:49:55.5146607Z (Worker_PP0_TP0 pid=47068) INFO 12-04 09:49:55 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:49:55.5148693Z (Worker_PP0_TP0 pid=47068) INFO 12-04 09:49:55 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:49:55.5151386Z (Worker_PP0_TP1 pid=47069) INFO 12-04 09:49:55 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:49:55.5152949Z (Worker_PP0_TP1 pid=47069) INFO 12-04 09:49:55 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:49:55.5155128Z (Worker_PP1_TP0 pid=47070) INFO 12-04 09:49:55 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:49:55.5156205Z (Worker_PP1_TP0 pid=47070) INFO 12-04 09:49:55 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:49:55.5158888Z (Worker_PP1_TP1 pid=47071) INFO 12-04 09:49:55 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:49:58.5297401Z (APIServer pid=46827) INFO: Shutting down 2025-12-04T09:49:58.6301726Z (APIServer pid=46827) INFO: Waiting for application shutdown. 2025-12-04T09:49:58.6303730Z (APIServer pid=46827) INFO: Application shutdown complete. 2025-12-04T09:49:58.9467640Z INFO 12-04 09:49:58 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:49:58.9468169Z WARNING 12-04 09:49:58 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:49:58.9468611Z INFO 12-04 09:49:58 [model.py:1714] Using max model len 2048 2025-12-04T09:49:58.9470451Z Launching RemoteOpenAIServer with: vllm serve meta-llama/Llama-3.2-1B-Instruct --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --distributed-executor-backend mp --load-format dummy --port 43797 --seed 0 2025-12-04T09:50:01.8442317Z INFO 12-04 09:50:01 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:50:05.5304984Z (APIServer pid=47468) INFO 12-04 09:50:05 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:50:05.5328513Z (APIServer pid=47468) INFO 12-04 09:50:05 [utils.py:239] non-default args: {'model_tag': 'meta-llama/Llama-3.2-1B-Instruct', 'port': 43797, 'model': 'meta-llama/Llama-3.2-1B-Instruct', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'mp', 'tensor_parallel_size': 2, 'max_num_seqs': 8} 2025-12-04T09:50:05.7893545Z (APIServer pid=47468) INFO 12-04 09:50:05 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:50:05.7894875Z (APIServer pid=47468) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:50:05.7896269Z (APIServer pid=47468) WARNING 12-04 09:50:05 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:50:05.7897585Z (APIServer pid=47468) INFO 12-04 09:50:05 [model.py:1714] Using max model len 2048 2025-12-04T09:50:05.9865815Z (APIServer pid=47468) INFO 12-04 09:50:05 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:50:05.9870623Z (APIServer pid=47468) INFO 12-04 09:50:05 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:50:09.4284749Z INFO 12-04 09:50:09 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:50:13.0737160Z (EngineCore_DP0 pid=47590) INFO 12-04 09:50:13 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:50:13.1004303Z (EngineCore_DP0 pid=47590) INFO 12-04 09:50:13 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='meta-llama/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-1B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-1B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 0, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': [], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:50:13.1009533Z (EngineCore_DP0 pid=47590) WARNING 12-04 09:50:13 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:50:13.1018383Z (EngineCore_DP0 pid=47590) INFO 12-04 09:50:13 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_a456c10d'), local_subscribe_addr='ipc:///tmp/e7908f93-7215-4472-b7d7-0bd4920320fc', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:50:15.9989038Z INFO 12-04 09:50:15 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:50:16.0348492Z INFO 12-04 09:50:16 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:50:21.1535204Z INFO 12-04 09:50:21 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_4aeae32d'), local_subscribe_addr='ipc:///tmp/8c39ab28-ef25-45e8-b0b3-c7ab58bc522a', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:50:21.2028248Z INFO 12-04 09:50:21 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_994bfc7c'), local_subscribe_addr='ipc:///tmp/fda51d01-0ba8-4998-a104-66fe1a0642a6', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:50:21.3716925Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:50:21.3718138Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:50:21.3765217Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:50:21.3766212Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:50:21.3809552Z INFO 12-04 09:50:21 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:50:21.3811789Z INFO 12-04 09:50:21 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:50:21.3818541Z INFO 12-04 09:50:21 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:50:21.3821122Z INFO 12-04 09:50:21 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:50:21.5544296Z WARNING 12-04 09:50:21 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:50:21.5545899Z WARNING 12-04 09:50:21 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:50:21.5573381Z INFO 12-04 09:50:21 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:50:21.5575033Z INFO 12-04 09:50:21 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:50:21.5576973Z WARNING 12-04 09:50:21 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:50:21.5579616Z WARNING 12-04 09:50:21 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:50:21.6331693Z INFO 12-04 09:50:21 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_90e03240'), local_subscribe_addr='ipc:///tmp/e56a2df8-6d71-467a-b91e-764ccec39df5', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:50:21.6357838Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:50:21.6359039Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:50:21.6364921Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:50:21.6374803Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:50:21.7325485Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:50:21.7332214Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:50:21.7344836Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:50:21.7345988Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:50:21.7347263Z INFO 12-04 09:50:21 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:50:21.7348368Z INFO 12-04 09:50:21 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:50:21.7349197Z INFO 12-04 09:50:21 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:50:21.7349949Z INFO 12-04 09:50:21 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:50:21.7698350Z INFO 12-04 09:50:21 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:50:21.7699784Z INFO 12-04 09:50:21 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:50:22.0057517Z INFO 12-04 09:50:22 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:50:22.0378294Z (Worker_TP1 pid=47710) INFO 12-04 09:50:22 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:50:22.0461330Z INFO 12-04 09:50:22 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:50:22.0781999Z (Worker_TP0 pid=47709) INFO 12-04 09:50:22 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:50:22.2422424Z (Worker_TP1 pid=47710) INFO 12-04 09:50:22 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:50:22.3222942Z (Worker_TP0 pid=47709) INFO 12-04 09:50:22 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:50:22.3292666Z (Worker_TP1 pid=47710) INFO 12-04 09:50:22 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:50:22.4101968Z (Worker_TP0 pid=47709) INFO 12-04 09:50:22 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:50:22.7728255Z (Worker_TP1 pid=47710) INFO 12-04 09:50:22 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.115423 seconds 2025-12-04T09:50:22.8982539Z (Worker_TP0 pid=47709) INFO 12-04 09:50:22 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.116338 seconds 2025-12-04T09:50:25.1881106Z (Worker_TP0 pid=47709) INFO 12-04 09:50:25 [gpu_worker.py:314] Available KV cache memory: 18.53 GiB 2025-12-04T09:50:25.2021126Z (Worker_TP1 pid=47710) INFO 12-04 09:50:25 [gpu_worker.py:314] Available KV cache memory: 18.53 GiB 2025-12-04T09:50:25.4284973Z (EngineCore_DP0 pid=47590) INFO 12-04 09:50:25 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,464 tokens 2025-12-04T09:50:25.4285933Z (EngineCore_DP0 pid=47590) INFO 12-04 09:50:25 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.00x 2025-12-04T09:50:25.4286828Z (EngineCore_DP0 pid=47590) INFO 12-04 09:50:25 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,464 tokens 2025-12-04T09:50:25.4288113Z (EngineCore_DP0 pid=47590) INFO 12-04 09:50:25 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.00x 2025-12-04T09:50:25.6198980Z (EngineCore_DP0 pid=47590) INFO 12-04 09:50:25 [core.py:240] init engine (profile, create kv cache, warmup model) took 2.67 seconds 2025-12-04T09:50:26.1492657Z (EngineCore_DP0 pid=47590) INFO 12-04 09:50:26 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:50:26.3348875Z (APIServer pid=47468) INFO 12-04 09:50:26 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 75904 2025-12-04T09:50:26.3478485Z (EngineCore_DP0 pid=47590) INFO 12-04 09:50:26 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:50:26.3685033Z (APIServer pid=47468) INFO 12-04 09:50:26 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:50:26.3922744Z (APIServer pid=47468) WARNING 12-04 09:50:26 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:50:26.3924327Z (APIServer pid=47468) INFO 12-04 09:50:26 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:50:26.4277354Z (APIServer pid=47468) INFO 12-04 09:50:26 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:50:26.4550972Z (APIServer pid=47468) INFO 12-04 09:50:26 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:50:26.4551997Z (APIServer pid=47468) INFO 12-04 09:50:26 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:43797 2025-12-04T09:50:26.4552582Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:38] Available routes are: 2025-12-04T09:50:26.4553134Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD 2025-12-04T09:50:26.4553807Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /docs, Methods: GET, HEAD 2025-12-04T09:50:26.4554538Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD 2025-12-04T09:50:26.4555242Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /redoc, Methods: GET, HEAD 2025-12-04T09:50:26.4555887Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:50:26.4556526Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:50:26.4557172Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:50:26.4557807Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:50:26.4558450Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:50:26.4559347Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:50:26.4559999Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:50:26.4560637Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:50:26.4561295Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:50:26.4562001Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:50:26.4562779Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:50:26.4563558Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:50:26.4564133Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:50:26.4564675Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:50:26.4565207Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:50:26.4565733Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:50:26.4566249Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:50:26.4566755Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:50:26.4567320Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:50:26.4567910Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:50:26.4568453Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:50:26.4568966Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:50:26.4569492Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:50:26.4570034Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:50:26.4570658Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:50:26.4571219Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:50:26.4571742Z (APIServer pid=47468) INFO 12-04 09:50:26 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:50:26.4705708Z (APIServer pid=47468) INFO: Started server process [47468] 2025-12-04T09:50:26.4706329Z (APIServer pid=47468) INFO: Waiting for application startup. 2025-12-04T09:50:26.6834664Z (APIServer pid=47468) INFO: Application startup complete. 2025-12-04T09:50:27.0163749Z (APIServer pid=47468) INFO: 127.0.0.1:49018 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:50:27.0253223Z (APIServer pid=47468) INFO: 127.0.0.1:49030 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:50:27.2612678Z (APIServer pid=47468) INFO: 127.0.0.1:49030 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:50:27.3182506Z (APIServer pid=47468) INFO: 127.0.0.1:49030 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:50:27.4057702Z (APIServer pid=47468) INFO: 127.0.0.1:49030 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:50:27.4898130Z (APIServer pid=47468) INFO: 127.0.0.1:49030 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:50:27.5507975Z (APIServer pid=47468) INFO: 127.0.0.1:49030 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:50:27.5592009Z (APIServer pid=47468) INFO: 127.0.0.1:49030 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:50:27.6258431Z (APIServer pid=47468) INFO 12-04 09:50:27 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:50:27.6260805Z (Worker_TP0 pid=47709) INFO 12-04 09:50:27 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:50:27.6261894Z (Worker_TP0 pid=47709) INFO 12-04 09:50:27 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:50:27.6266460Z (Worker_TP1 pid=47710) INFO 12-04 09:50:27 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:50:27.6267136Z (Worker_TP1 pid=47710) INFO 12-04 09:50:27 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:50:30.0409849Z (APIServer pid=47468) INFO: Shutting down 2025-12-04T09:50:30.1414485Z (APIServer pid=47468) INFO: Waiting for application shutdown. 2025-12-04T09:50:30.1416663Z (APIServer pid=47468) INFO: Application shutdown complete. 2025-12-04T09:50:30.7068662Z PASSED 2025-12-04T09:50:30.7215251Z distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup13-ray-auto-test_options13] Fork a new process to run a test 47921 2025-12-04T09:50:30.7230482Z Fork a new process to run a test 0 2025-12-04T09:50:31.3546547Z INFO 12-04 09:50:31 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:50:31.3547455Z `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:50:31.3548264Z WARNING 12-04 09:50:31 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:50:31.3549095Z INFO 12-04 09:50:31 [model.py:1714] Using max model len 2048 2025-12-04T09:50:31.3554049Z Launching RemoteOpenAIServer with: vllm serve meta-llama/Llama-3.2-1B-Instruct --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --pipeline-parallel-size 2 --distributed-executor-backend ray --compilation_config {"level": 3, "custom_ops": ["+rms_norm"], "compile_sizes": [4, 8], "pass_config": {"enable_sequence_parallelism": true, "enable_fusion": false, "enable_noop": true}} --load-format dummy --port 53421 --seed 0 2025-12-04T09:50:34.2261248Z INFO 12-04 09:50:34 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:50:37.9155278Z (APIServer pid=47970) INFO 12-04 09:50:37 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:50:37.9182277Z (APIServer pid=47970) INFO 12-04 09:50:37 [utils.py:239] non-default args: {'model_tag': 'meta-llama/Llama-3.2-1B-Instruct', 'port': 53421, 'model': 'meta-llama/Llama-3.2-1B-Instruct', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'ray', 'pipeline_parallel_size': 2, 'tensor_parallel_size': 2, 'max_num_seqs': 8, 'compilation_config': {'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm'], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [4, 8], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': None, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': None, 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': None, 'local_cache_dir': None}} 2025-12-04T09:50:38.1327468Z (APIServer pid=47970) INFO 12-04 09:50:38 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:50:38.1328155Z (APIServer pid=47970) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:50:38.1328852Z (APIServer pid=47970) WARNING 12-04 09:50:38 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:50:38.1329533Z (APIServer pid=47970) INFO 12-04 09:50:38 [model.py:1714] Using max model len 2048 2025-12-04T09:50:38.2973366Z (APIServer pid=47970) INFO 12-04 09:50:38 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:50:38.2979946Z (APIServer pid=47970) INFO 12-04 09:50:38 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:50:41.7206683Z INFO 12-04 09:50:41 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:50:45.4977543Z (EngineCore_DP0 pid=48092) INFO 12-04 09:50:45 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:50:45.5240848Z (EngineCore_DP0 pid=48092) INFO 12-04 09:50:45 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='meta-llama/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-1B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=2, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-1B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm', '+rms_norm'], 'splitting_ops': ['vllm.unified_attention', 'vllm.unified_attention_with_output', 'vllm.unified_mla_attention', 'vllm.unified_mla_attention_with_output', 'vllm.mamba_mixer2', 'vllm.mamba_mixer', 'vllm.short_conv', 'vllm.linear_attention', 'vllm.plamo2_mamba_mixer', 'vllm.gdn_attention', 'vllm.sparse_attn_indexer'], 'use_inductor': True, 'compile_sizes': [8, 4], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:50:47.4324808Z (EngineCore_DP0 pid=48092) 2025-12-04 09:50:47,431 INFO worker.py:1918 -- Started a local Ray instance. View the dashboard at http://127.0.0.1:8265  2025-12-04T09:50:48.2548004Z (EngineCore_DP0 pid=48092) INFO 12-04 09:50:48 [ray_utils.py:373] No current placement group found. Creating a new placement group. 2025-12-04T09:50:48.4326383Z (EngineCore_DP0 pid=48092) INFO 12-04 09:50:48 [ray_distributed_executor.py:179] use_ray_spmd_worker: True 2025-12-04T09:50:51.3076208Z (EngineCore_DP0 pid=48092) (pid=48979) INFO 12-04 09:50:51 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:50:53.3473685Z (EngineCore_DP0 pid=48092) INFO 12-04 09:50:53 [ray_env.py:67] RAY_NON_CARRY_OVER_ENV_VARS from config: set() 2025-12-04T09:50:53.3475235Z (EngineCore_DP0 pid=48092) INFO 12-04 09:50:53 [ray_env.py:70] Copying the following environment variables to workers: ['HF_TOKEN', 'MAX_JOBS', 'LD_LIBRARY_PATH', 'VLLM_USE_RAY_SPMD_WORKER', 'HUGGING_FACE_HUB_TOKEN', 'VLLM_WORKER_MULTIPROC_METHOD', 'VLLM_USE_V1', 'VLLM_USE_RAY_COMPILED_DAG'] 2025-12-04T09:50:53.3477132Z (EngineCore_DP0 pid=48092) INFO 12-04 09:50:53 [ray_env.py:75] If certain env vars should NOT be copied, add them to /var/lib/jenkins/.config/vllm/ray_non_carry_over_env_vars.json file 2025-12-04T09:50:57.0303501Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48981) WARNING 12-04 09:50:56 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. 2025-12-04T09:50:57.0307229Z (EngineCore_DP0 pid=48092) (pid=48976) INFO 12-04 09:50:51 [__init__.py:224] Automatically detected platform cuda. [repeated 3x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.) 2025-12-04T09:50:58.3653554Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48979) [Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:50:58.4707842Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48979) INFO 12-04 09:50:58 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:50:58.4708873Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48979) INFO 12-04 09:50:58 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:50:58.6783485Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48979) WARNING 12-04 09:50:58 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:50:58.6786780Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48979) INFO 12-04 09:50:58 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:50:58.6788885Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48979) WARNING 12-04 09:50:58 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:50:58.6791234Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48981) INFO 12-04 09:50:58 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_bcff61e9'), local_subscribe_addr='ipc:///tmp/33df0310-4a97-4816-98d9-8544be7d7cf4', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:50:58.7872818Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48979) INFO 12-04 09:50:58 [parallel_state.py:1231] rank 1 in world size 4 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:50:59.0969093Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48979) INFO 12-04 09:50:59 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:50:59.0970349Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48979) INFO 12-04 09:50:59 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:50:59.4069909Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48979) INFO 12-04 09:50:59 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:50:59.4100097Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48977) INFO 12-04 09:50:59 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:50:59.9258385Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48977) INFO 12-04 09:50:59 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.155755 seconds 2025-12-04T09:51:02.3804560Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48977) INFO 12-04 09:51:02 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/918ac42dc5/rank_2_0/backbone for vLLM's torch.compile 2025-12-04T09:51:02.3806046Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48977) INFO 12-04 09:51:02 [backends.py:608] Dynamo bytecode transform time: 2.11 s 2025-12-04T09:51:02.3807517Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) WARNING 12-04 09:50:57 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. [repeated 3x across cluster] 2025-12-04T09:51:02.9970740Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48977) INFO 12-04 09:51:02 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.385 s 2025-12-04T09:51:03.9213169Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48979) INFO 12-04 09:51:03 [gpu_worker.py:314] Available KV cache memory: 19.02 GiB 2025-12-04T09:51:03.9214837Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 [repeated 23x across cluster] 2025-12-04T09:51:03.9216170Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) INFO 12-04 09:50:58 [__init__.py:1146] Found nccl from library libnccl.so.2 [repeated 11x across cluster] 2025-12-04T09:51:03.9217497Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) INFO 12-04 09:50:58 [pynccl.py:109] vLLM is using nccl==2.27.5 [repeated 11x across cluster] 2025-12-04T09:51:03.9218900Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) WARNING 12-04 09:50:58 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. [repeated 3x across cluster] 2025-12-04T09:51:03.9220238Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) INFO 12-04 09:50:58 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. [repeated 3x across cluster] 2025-12-04T09:51:03.9221736Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) WARNING 12-04 09:50:58 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. [repeated 3x across cluster] 2025-12-04T09:51:03.9223964Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48977) INFO 12-04 09:50:58 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_3f1e72fd'), local_subscribe_addr='ipc:///tmp/cdc69504-3aca-43e9-acb4-4f4bacc554e9', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:51:03.9225517Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) INFO 12-04 09:50:58 [parallel_state.py:1231] rank 3 in world size 4 is assigned as DP rank 0, PP rank 1, TP rank 1, EP rank 1 [repeated 3x across cluster] 2025-12-04T09:51:04.2828652Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:04 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:51:04.2829442Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:04 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:51:04.2830182Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:04 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:51:04.2831057Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:04 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:51:04.2831749Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:04 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:51:04.2832886Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:04 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:51:04.2833559Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:04 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:51:04.2834223Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:04 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:51:04.3351080Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48979) INFO 12-04 09:51:04 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:51:04.3352683Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) INFO 12-04 09:50:59 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. [repeated 3x across cluster] 2025-12-04T09:51:04.3354158Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) INFO 12-04 09:50:59 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... [repeated 3x across cluster] 2025-12-04T09:51:05.8756497Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48979) INFO 12-04 09:51:05 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 1.574 s 2025-12-04T09:51:05.8757854Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) INFO 12-04 09:50:59 [gpu_model_runner.py:2870] Loading model from scratch... [repeated 3x across cluster] 2025-12-04T09:51:05.8758948Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) INFO 12-04 09:50:59 [cuda.py:404] Using Flash Attention backend on V1 engine. [repeated 3x across cluster] 2025-12-04T09:51:05.8760356Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) INFO 12-04 09:51:00 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.155414 seconds [repeated 3x across cluster] 2025-12-04T09:51:06.6985470Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48977) INFO 12-04 09:51:06 [monitor.py:33] torch.compile takes 2.11 s in total 2025-12-04T09:51:06.8167318Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:06 [core.py:240] init engine (profile, create kv cache, warmup model) took 6.81 seconds 2025-12-04T09:51:07.6173212Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:07 [core.py:178] Batch queue is enabled with size 2 2025-12-04T09:51:07.6204997Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:07 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:51:07.7258889Z (APIServer pid=47970) INFO 12-04 09:51:07 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 155568 2025-12-04T09:51:07.8489898Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:07 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:51:07.8759219Z (APIServer pid=47970) INFO 12-04 09:51:07 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:51:07.8970931Z (APIServer pid=47970) WARNING 12-04 09:51:07 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:51:07.8972543Z (APIServer pid=47970) INFO 12-04 09:51:07 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:51:07.9211597Z (APIServer pid=47970) INFO 12-04 09:51:07 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:51:07.9478929Z (APIServer pid=47970) INFO 12-04 09:51:07 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:51:07.9480294Z (APIServer pid=47970) INFO 12-04 09:51:07 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:53421 2025-12-04T09:51:07.9481026Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:38] Available routes are: 2025-12-04T09:51:07.9481850Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /openapi.json, Methods: HEAD, GET 2025-12-04T09:51:07.9482518Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /docs, Methods: HEAD, GET 2025-12-04T09:51:07.9483106Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: HEAD, GET 2025-12-04T09:51:07.9483847Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /redoc, Methods: HEAD, GET 2025-12-04T09:51:07.9484385Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:51:07.9484905Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:51:07.9485422Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:51:07.9485909Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:51:07.9486424Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:51:07.9486963Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:51:07.9487481Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:51:07.9488105Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:51:07.9488657Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:51:07.9489246Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:51:07.9489874Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:51:07.9490470Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:51:07.9491116Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:51:07.9491867Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:51:07.9492418Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:51:07.9492935Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:51:07.9493464Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:51:07.9493973Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:51:07.9494536Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:51:07.9495130Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:51:07.9495678Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:51:07.9496207Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:51:07.9496741Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:51:07.9497351Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:51:07.9497935Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:51:07.9498495Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:51:07.9499027Z (APIServer pid=47970) INFO 12-04 09:51:07 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:51:07.9644556Z (APIServer pid=47970) INFO: Started server process [47970] 2025-12-04T09:51:07.9645117Z (APIServer pid=47970) INFO: Waiting for application startup. 2025-12-04T09:51:08.1876858Z (APIServer pid=47970) INFO: Application startup complete. 2025-12-04T09:51:08.4551930Z (APIServer pid=47970) INFO: 127.0.0.1:38100 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:51:08.7035724Z (APIServer pid=47970) INFO: 127.0.0.1:38110 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:51:08.7330858Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:08 [ray_distributed_executor.py:569] RAY_CGRAPH_get_timeout is set to 300 2025-12-04T09:51:08.7332849Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:08 [ray_distributed_executor.py:573] VLLM_USE_RAY_COMPILED_DAG_CHANNEL_TYPE = auto 2025-12-04T09:51:08.7334534Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:08 [ray_distributed_executor.py:577] VLLM_USE_RAY_COMPILED_DAG_OVERLAP_COMM = False 2025-12-04T09:51:08.7336542Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:08 [ray_distributed_executor.py:653] Using RayPPCommunicator (which wraps vLLM _PP GroupCoordinator) for Ray Compiled Graph communication. 2025-12-04T09:51:08.7613235Z (EngineCore_DP0 pid=48092) 2025-12-04 09:51:08,760 INFO torch_tensor_accelerator_channel.py:807 -- Creating communicator group a289297d-a58f-4492-a110-d32abc87587d on actors: [Actor(RayWorkerWrapper, 82aafdc13e676bdc1a981b3d01000000), Actor(RayWorkerWrapper, 45503adea66fb132b478339e01000000), Actor(RayWorkerWrapper, b8d9e2284b4a8e663ce5794201000000), Actor(RayWorkerWrapper, 8bdadb2062ce887cb0bb108c01000000)] 2025-12-04T09:51:08.8167255Z (EngineCore_DP0 pid=48092) 2025-12-04 09:51:08,816 INFO torch_tensor_accelerator_channel.py:833 -- Communicator group initialized. 2025-12-04T09:51:08.8456433Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48979) /opt/conda/envs/py_3.12/lib/python3.12/site-packages/vllm/distributed/device_communicators/ray_communicator.py:107: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_new.cpp:1581.) 2025-12-04T09:51:08.8459595Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48979) actor_id_tensor = torch.frombuffer(actor_id_bytes, dtype=torch.uint8).to( 2025-12-04T09:51:09.0553345Z (APIServer pid=47970) INFO: 127.0.0.1:38110 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:51:09.1232671Z (APIServer pid=47970) INFO: 127.0.0.1:38110 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:51:09.2683208Z (APIServer pid=47970) INFO: 127.0.0.1:38110 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:51:09.3488311Z (APIServer pid=47970) INFO: 127.0.0.1:38110 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:51:09.4119260Z (APIServer pid=47970) INFO: 127.0.0.1:38110 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:51:09.4196138Z (APIServer pid=47970) INFO: 127.0.0.1:38110 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:51:09.5282294Z (APIServer pid=47970) INFO 12-04 09:51:09 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:51:09.5282844Z *** SIGTERM received at time=1764841869 on cpu 0 *** 2025-12-04T09:51:09.5331475Z PC: @ 0x7f5e37781117 (unknown) (unknown) 2025-12-04T09:51:09.5332586Z @ 0x7f5e37732520 (unknown) (unknown) 2025-12-04T09:51:09.5333096Z [2025-12-04 09:51:09,533 E 48092 48092] logging.cc:501: *** SIGTERM received at time=1764841869 on cpu 0 *** 2025-12-04T09:51:09.5335506Z [2025-12-04 09:51:09,533 E 48092 48092] logging.cc:501: PC: @ 0x7f5e37781117 (unknown) (unknown) 2025-12-04T09:51:09.5336533Z [2025-12-04 09:51:09,533 E 48092 48092] logging.cc:501: @ 0x7f5e37732520 (unknown) (unknown) 2025-12-04T09:51:09.5339320Z (EngineCore_DP0 pid=48092) INFO 12-04 09:51:09 [ray_distributed_executor.py:127] Shutting down Ray distributed executor. If you see error log from logging.cc regarding SIGTERM received, please ignore because this is the expected termination process in Ray. 2025-12-04T09:51:09.5340686Z (EngineCore_DP0 pid=48092) 2025-12-04 09:51:09,533 INFO compiled_dag_node.py:2171 -- Tearing down compiled DAG 2025-12-04T09:51:09.5341933Z (EngineCore_DP0 pid=48092) 2025-12-04 09:51:09,533 INFO compiled_dag_node.py:2176 -- Cancelling compiled worker on actor: Actor(RayWorkerWrapper, 82aafdc13e676bdc1a981b3d01000000) 2025-12-04T09:51:09.5343982Z (EngineCore_DP0 pid=48092) 2025-12-04 09:51:09,533 INFO compiled_dag_node.py:2176 -- Cancelling compiled worker on actor: Actor(RayWorkerWrapper, b8d9e2284b4a8e663ce5794201000000) 2025-12-04T09:51:09.5345281Z (EngineCore_DP0 pid=48092) 2025-12-04 09:51:09,533 INFO compiled_dag_node.py:2176 -- Cancelling compiled worker on actor: Actor(RayWorkerWrapper, 45503adea66fb132b478339e01000000) 2025-12-04T09:51:09.5346536Z (EngineCore_DP0 pid=48092) 2025-12-04 09:51:09,533 INFO compiled_dag_node.py:2176 -- Cancelling compiled worker on actor: Actor(RayWorkerWrapper, 8bdadb2062ce887cb0bb108c01000000) 2025-12-04T09:51:09.5391761Z (EngineCore_DP0 pid=48092) 2025-12-04 09:51:09,538 INFO compiled_dag_node.py:2198 -- Waiting for worker tasks to exit 2025-12-04T09:51:09.5396104Z (EngineCore_DP0 pid=48092) 2025-12-04 09:51:09,539 INFO compiled_dag_node.py:2201 -- Teardown complete 2025-12-04T09:51:10.0425552Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48981) INFO 12-04 09:51:02 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/728314b73b/rank_0_0/backbone for vLLM's torch.compile [repeated 3x across cluster] 2025-12-04T09:51:10.0428782Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48981) INFO 12-04 09:51:02 [backends.py:608] Dynamo bytecode transform time: 2.16 s [repeated 3x across cluster] 2025-12-04T09:51:10.0431541Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48981) INFO 12-04 09:51:03 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.379 s [repeated 3x across cluster] 2025-12-04T09:51:10.0434156Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) INFO 12-04 09:51:03 [gpu_worker.py:314] Available KV cache memory: 18.99 GiB [repeated 3x across cluster] 2025-12-04T09:51:10.0435323Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) INFO 12-04 09:51:06 [gpu_worker.py:351] Compile and warming up model for size 4 [repeated 7x across cluster] 2025-12-04T09:51:10.0436415Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48981) INFO 12-04 09:51:06 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 0.942 s [repeated 7x across cluster] 2025-12-04T09:51:10.0437648Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48981) INFO 12-04 09:51:06 [monitor.py:33] torch.compile takes 2.16 s in total [repeated 3x across cluster] 2025-12-04T09:51:10.0440632Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) /opt/conda/envs/py_3.12/lib/python3.12/site-packages/vllm/distributed/device_communicators/ray_communicator.py:107: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_new.cpp:1581.) [repeated 3x across cluster] 2025-12-04T09:51:10.0443077Z (EngineCore_DP0 pid=48092) (RayWorkerWrapper pid=48976) actor_id_tensor = torch.frombuffer(actor_id_bytes, dtype=torch.uint8).to( [repeated 3x across cluster] 2025-12-04T09:51:12.0195425Z (APIServer pid=47970) INFO: Shutting down 2025-12-04T09:51:12.1197453Z (APIServer pid=47970) INFO: Waiting for application shutdown. 2025-12-04T09:51:12.1199141Z (APIServer pid=47970) INFO: Application shutdown complete. 2025-12-04T09:51:12.4887104Z INFO 12-04 09:51:12 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:51:12.4887955Z WARNING 12-04 09:51:12 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:51:12.4888655Z INFO 12-04 09:51:12 [model.py:1714] Using max model len 2048 2025-12-04T09:51:12.4890413Z Launching RemoteOpenAIServer with: vllm serve meta-llama/Llama-3.2-1B-Instruct --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --distributed-executor-backend mp --load-format dummy --port 51499 --seed 0 2025-12-04T09:51:15.3467231Z INFO 12-04 09:51:15 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:51:19.0193402Z (APIServer pid=52972) INFO 12-04 09:51:19 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:51:19.0217133Z (APIServer pid=52972) INFO 12-04 09:51:19 [utils.py:239] non-default args: {'model_tag': 'meta-llama/Llama-3.2-1B-Instruct', 'port': 51499, 'model': 'meta-llama/Llama-3.2-1B-Instruct', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'mp', 'tensor_parallel_size': 2, 'max_num_seqs': 8} 2025-12-04T09:51:19.2375737Z (APIServer pid=52972) INFO 12-04 09:51:19 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:51:19.2376476Z (APIServer pid=52972) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:51:19.2377185Z (APIServer pid=52972) WARNING 12-04 09:51:19 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:51:19.2377897Z (APIServer pid=52972) INFO 12-04 09:51:19 [model.py:1714] Using max model len 2048 2025-12-04T09:51:19.3995483Z (APIServer pid=52972) INFO 12-04 09:51:19 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:51:19.4001560Z (APIServer pid=52972) INFO 12-04 09:51:19 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:51:22.8066101Z INFO 12-04 09:51:22 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:51:26.4543815Z (EngineCore_DP0 pid=53094) INFO 12-04 09:51:26 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:51:26.4813040Z (EngineCore_DP0 pid=53094) INFO 12-04 09:51:26 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='meta-llama/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-1B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-1B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 0, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': [], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:51:26.4818877Z (EngineCore_DP0 pid=53094) WARNING 12-04 09:51:26 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:51:26.4825480Z (EngineCore_DP0 pid=53094) INFO 12-04 09:51:26 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_461f170c'), local_subscribe_addr='ipc:///tmp/cd2c91bd-2fc0-4658-b261-f78385ad1833', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:51:29.3715086Z INFO 12-04 09:51:29 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:51:29.3903579Z INFO 12-04 09:51:29 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:51:34.5534494Z INFO 12-04 09:51:34 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_d18ba7a2'), local_subscribe_addr='ipc:///tmp/7db47ad3-ee18-41b6-8225-3aded7f21864', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:51:34.6130317Z INFO 12-04 09:51:34 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_776fc0b9'), local_subscribe_addr='ipc:///tmp/30844529-f3ae-4258-b634-9839b4616a16', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:51:34.7691910Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:51:34.7692596Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:51:34.7739027Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:51:34.7739692Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:51:34.7785692Z INFO 12-04 09:51:34 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:51:34.7787618Z INFO 12-04 09:51:34 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:51:34.7794522Z INFO 12-04 09:51:34 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:51:34.7797120Z INFO 12-04 09:51:34 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:51:34.9493224Z WARNING 12-04 09:51:34 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:51:34.9494089Z WARNING 12-04 09:51:34 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:51:34.9516194Z INFO 12-04 09:51:34 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:51:34.9517446Z INFO 12-04 09:51:34 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:51:34.9519545Z WARNING 12-04 09:51:34 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:51:34.9521921Z WARNING 12-04 09:51:34 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:51:35.0029089Z INFO 12-04 09:51:35 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_a2361a85'), local_subscribe_addr='ipc:///tmp/e6b382a8-bae9-4622-aed0-7c9c22aed1b0', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:51:35.0058730Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:51:35.0059357Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:51:35.0067425Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:51:35.0075422Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:51:35.0422769Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:51:35.0432156Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:51:35.0440624Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:51:35.0441125Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:51:35.0442733Z INFO 12-04 09:51:35 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:51:35.0443100Z INFO 12-04 09:51:35 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:51:35.0443444Z INFO 12-04 09:51:35 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:51:35.0443787Z INFO 12-04 09:51:35 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:51:35.0784288Z INFO 12-04 09:51:35 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:51:35.0785328Z INFO 12-04 09:51:35 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:51:35.3040809Z INFO 12-04 09:51:35 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:51:35.3227686Z INFO 12-04 09:51:35 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:51:35.3367276Z (Worker_TP1 pid=53214) INFO 12-04 09:51:35 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:51:35.3547376Z (Worker_TP0 pid=53213) INFO 12-04 09:51:35 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:51:35.5449607Z (Worker_TP1 pid=53214) INFO 12-04 09:51:35 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:51:35.5810819Z (Worker_TP0 pid=53213) INFO 12-04 09:51:35 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:51:35.6333669Z (Worker_TP1 pid=53214) INFO 12-04 09:51:35 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:51:35.6699697Z (Worker_TP0 pid=53213) INFO 12-04 09:51:35 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:51:36.0828543Z (Worker_TP1 pid=53214) INFO 12-04 09:51:36 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.116938 seconds 2025-12-04T09:51:36.1560970Z (Worker_TP0 pid=53213) INFO 12-04 09:51:36 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.116786 seconds 2025-12-04T09:51:38.4272194Z (Worker_TP0 pid=53213) INFO 12-04 09:51:38 [gpu_worker.py:314] Available KV cache memory: 18.53 GiB 2025-12-04T09:51:38.4316148Z (Worker_TP1 pid=53214) INFO 12-04 09:51:38 [gpu_worker.py:314] Available KV cache memory: 18.53 GiB 2025-12-04T09:51:38.6714452Z (EngineCore_DP0 pid=53094) INFO 12-04 09:51:38 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,464 tokens 2025-12-04T09:51:38.6715403Z (EngineCore_DP0 pid=53094) INFO 12-04 09:51:38 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.00x 2025-12-04T09:51:38.6716621Z (EngineCore_DP0 pid=53094) INFO 12-04 09:51:38 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,464 tokens 2025-12-04T09:51:38.6717505Z (EngineCore_DP0 pid=53094) INFO 12-04 09:51:38 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.00x 2025-12-04T09:51:38.8506992Z (EngineCore_DP0 pid=53094) INFO 12-04 09:51:38 [core.py:240] init engine (profile, create kv cache, warmup model) took 2.66 seconds 2025-12-04T09:51:39.3641435Z (EngineCore_DP0 pid=53094) INFO 12-04 09:51:39 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:51:39.5497891Z (APIServer pid=52972) INFO 12-04 09:51:39 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 75904 2025-12-04T09:51:39.5650181Z (EngineCore_DP0 pid=53094) INFO 12-04 09:51:39 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:51:39.5855244Z (APIServer pid=52972) INFO 12-04 09:51:39 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:51:39.6076413Z (APIServer pid=52972) WARNING 12-04 09:51:39 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:51:39.6078022Z (APIServer pid=52972) INFO 12-04 09:51:39 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:51:39.6308197Z (APIServer pid=52972) INFO 12-04 09:51:39 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:51:39.6581175Z (APIServer pid=52972) INFO 12-04 09:51:39 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:51:39.6582242Z (APIServer pid=52972) INFO 12-04 09:51:39 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:51499 2025-12-04T09:51:39.6582978Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:38] Available routes are: 2025-12-04T09:51:39.6583683Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD 2025-12-04T09:51:39.6584373Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /docs, Methods: GET, HEAD 2025-12-04T09:51:39.6585027Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD 2025-12-04T09:51:39.6585604Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /redoc, Methods: GET, HEAD 2025-12-04T09:51:39.6586130Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:51:39.6586634Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:51:39.6587134Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:51:39.6587794Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:51:39.6588321Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:51:39.6588851Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:51:39.6589374Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:51:39.6589908Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:51:39.6590443Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:51:39.6591192Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:51:39.6591829Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:51:39.6592443Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:51:39.6593007Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:51:39.6593560Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:51:39.6594086Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:51:39.6594633Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:51:39.6595151Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:51:39.6595653Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:51:39.6596218Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:51:39.6596827Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:51:39.6597364Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:51:39.6597878Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:51:39.6598387Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:51:39.6598991Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:51:39.6599680Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:51:39.6600229Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:51:39.6600762Z (APIServer pid=52972) INFO 12-04 09:51:39 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:51:39.6740962Z (APIServer pid=52972) INFO: Started server process [52972] 2025-12-04T09:51:39.6741632Z (APIServer pid=52972) INFO: Waiting for application startup. 2025-12-04T09:51:39.8868318Z (APIServer pid=52972) INFO: Application startup complete. 2025-12-04T09:51:40.0627700Z (APIServer pid=52972) INFO: 127.0.0.1:33492 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:51:40.0718791Z (APIServer pid=52972) INFO: 127.0.0.1:33496 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:51:40.3039430Z (APIServer pid=52972) INFO: 127.0.0.1:33496 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:51:40.3625095Z (APIServer pid=52972) INFO: 127.0.0.1:33496 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:51:40.4517060Z (APIServer pid=52972) INFO: 127.0.0.1:33496 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:51:40.5276856Z (APIServer pid=52972) INFO: 127.0.0.1:33496 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:51:40.5900065Z (APIServer pid=52972) INFO: 127.0.0.1:33496 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:51:40.5976975Z (APIServer pid=52972) INFO: 127.0.0.1:33496 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:51:40.6661812Z (APIServer pid=52972) INFO 12-04 09:51:40 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:51:40.6664911Z (Worker_TP0 pid=53213) INFO 12-04 09:51:40 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:51:40.6665796Z (Worker_TP0 pid=53213) INFO 12-04 09:51:40 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:51:40.6670795Z (Worker_TP1 pid=53214) INFO 12-04 09:51:40 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:51:40.6671908Z (Worker_TP1 pid=53214) INFO 12-04 09:51:40 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:51:42.7830917Z (APIServer pid=52972) INFO: Shutting down 2025-12-04T09:51:42.8835069Z (APIServer pid=52972) INFO: Waiting for application shutdown. 2025-12-04T09:51:42.8836396Z (APIServer pid=52972) INFO: Application shutdown complete. 2025-12-04T09:51:43.4426182Z PASSED 2025-12-04T09:51:43.4542283Z distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup14-mp-auto-test_options14] Fork a new process to run a test 53425 2025-12-04T09:51:43.4555975Z Fork a new process to run a test 0 2025-12-04T09:51:44.0966642Z INFO 12-04 09:51:44 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:51:44.0967518Z `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:51:44.0968384Z WARNING 12-04 09:51:44 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:51:44.0970600Z INFO 12-04 09:51:44 [model.py:1714] Using max model len 2048 2025-12-04T09:51:44.0975112Z Launching RemoteOpenAIServer with: vllm serve meta-llama/Llama-3.2-1B-Instruct --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enable-chunked-prefill --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --pipeline-parallel-size 2 --distributed-executor-backend mp --compilation_config {"level": 3, "custom_ops": ["+rms_norm"], "compile_sizes": [4, 8], "pass_config": {"enable_sequence_parallelism": true, "enable_fusion": false, "enable_noop": true}} --load-format dummy --port 48651 --seed 0 2025-12-04T09:51:47.0341232Z INFO 12-04 09:51:47 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:51:50.7704609Z (APIServer pid=53474) INFO 12-04 09:51:50 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:51:50.7735057Z (APIServer pid=53474) INFO 12-04 09:51:50 [utils.py:239] non-default args: {'model_tag': 'meta-llama/Llama-3.2-1B-Instruct', 'port': 48651, 'model': 'meta-llama/Llama-3.2-1B-Instruct', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'mp', 'pipeline_parallel_size': 2, 'tensor_parallel_size': 2, 'max_num_seqs': 8, 'enable_chunked_prefill': True, 'compilation_config': {'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm'], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [4, 8], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': None, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': None, 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': None, 'local_cache_dir': None}} 2025-12-04T09:51:50.9186012Z (APIServer pid=53474) INFO 12-04 09:51:50 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:51:50.9186705Z (APIServer pid=53474) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:51:50.9187438Z (APIServer pid=53474) WARNING 12-04 09:51:50 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:51:50.9188110Z (APIServer pid=53474) INFO 12-04 09:51:50 [model.py:1714] Using max model len 2048 2025-12-04T09:51:51.0820898Z (APIServer pid=53474) INFO 12-04 09:51:51 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:51:51.0825848Z (APIServer pid=53474) INFO 12-04 09:51:51 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:51:54.4682571Z INFO 12-04 09:51:54 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:51:58.1074850Z (EngineCore_DP0 pid=53596) INFO 12-04 09:51:58 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:51:58.1352887Z (EngineCore_DP0 pid=53596) INFO 12-04 09:51:58 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='meta-llama/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-1B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=2, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-1B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm', '+rms_norm'], 'splitting_ops': ['vllm.unified_attention', 'vllm.unified_attention_with_output', 'vllm.unified_mla_attention', 'vllm.unified_mla_attention_with_output', 'vllm.mamba_mixer2', 'vllm.mamba_mixer', 'vllm.short_conv', 'vllm.linear_attention', 'vllm.plamo2_mamba_mixer', 'vllm.gdn_attention', 'vllm.sparse_attn_indexer'], 'use_inductor': True, 'compile_sizes': [8, 4], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:51:58.1359192Z (EngineCore_DP0 pid=53596) WARNING 12-04 09:51:58 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:51:58.1365147Z (EngineCore_DP0 pid=53596) INFO 12-04 09:51:58 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1, 2, 3], buffer_handle=(4, 16777216, 10, 'psm_225a6aa2'), local_subscribe_addr='ipc:///tmp/779ddabd-3887-48ff-a42e-ed76474bb53f', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:52:01.0574103Z INFO 12-04 09:52:01 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:52:01.1447321Z INFO 12-04 09:52:01 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:52:01.1636407Z INFO 12-04 09:52:01 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:52:01.1747002Z INFO 12-04 09:52:01 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:52:06.2836585Z INFO 12-04 09:52:06 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_b09339b5'), local_subscribe_addr='ipc:///tmp/99c95c8c-8283-4edf-85c0-a7f4ad98dbc9', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:52:06.3931475Z INFO 12-04 09:52:06 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_b709ac06'), local_subscribe_addr='ipc:///tmp/57aa6e4c-be64-4bf1-9a80-4d78a4ca5b25', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:52:06.4226297Z INFO 12-04 09:52:06 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_cc73ca33'), local_subscribe_addr='ipc:///tmp/1de631a9-954f-4dd5-8d11-52c16d55b160', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:52:06.4230341Z INFO 12-04 09:52:06 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_6fd5339a'), local_subscribe_addr='ipc:///tmp/1e0fcebe-50d7-4236-b049-8f0b46cc1acb', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:52:07.2755215Z [Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:52:07.2755920Z [Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:52:07.2756486Z [Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:52:07.2757039Z [Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:52:07.2803091Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:07.2803910Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:07.2804508Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:07.2804976Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:07.2847854Z INFO 12-04 09:52:07 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:52:07.2848467Z INFO 12-04 09:52:07 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:52:07.2849413Z INFO 12-04 09:52:07 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:52:07.2850149Z INFO 12-04 09:52:07 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:52:07.2850810Z INFO 12-04 09:52:07 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:52:07.2851594Z INFO 12-04 09:52:07 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:52:07.2857373Z INFO 12-04 09:52:07 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:52:07.2859897Z INFO 12-04 09:52:07 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:52:07.4717567Z WARNING 12-04 09:52:07 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:52:07.4718580Z WARNING 12-04 09:52:07 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:52:07.4738378Z INFO 12-04 09:52:07 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:52:07.4739480Z INFO 12-04 09:52:07 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:52:07.4740539Z WARNING 12-04 09:52:07 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:52:07.4742176Z WARNING 12-04 09:52:07 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:52:07.4758136Z INFO 12-04 09:52:07 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_cc2d2011'), local_subscribe_addr='ipc:///tmp/a306dec7-177c-4e01-953c-362e90e41a46', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:52:07.5625640Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:52:07.5724300Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:52:07.5883096Z WARNING 12-04 09:52:07 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:52:07.5884287Z WARNING 12-04 09:52:07 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:52:07.5911156Z INFO 12-04 09:52:07 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:52:07.5912167Z INFO 12-04 09:52:07 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:52:07.5913211Z WARNING 12-04 09:52:07 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:52:07.5914886Z WARNING 12-04 09:52:07 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:52:07.5930319Z INFO 12-04 09:52:07 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_ef1d4e33'), local_subscribe_addr='ipc:///tmp/67e27c9f-24a9-41a0-97f1-54757cb33799', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:52:07.5950364Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:52:07.5965861Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:07.5967033Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:07.5969583Z INFO 12-04 09:52:07 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:52:07.5971680Z INFO 12-04 09:52:07 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:52:07.5972378Z INFO 12-04 09:52:07 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:52:07.5973010Z INFO 12-04 09:52:07 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:52:07.6306702Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:52:07.6307629Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:52:07.6725713Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:52:07.6739501Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:07.6740105Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:07.6742762Z INFO 12-04 09:52:07 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:52:07.6743228Z INFO 12-04 09:52:07 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:52:07.6745016Z INFO 12-04 09:52:07 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:52:07.6745737Z INFO 12-04 09:52:07 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:52:07.7087877Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:52:07.7088808Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:52:07.7098918Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:07.7099756Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:07.7100581Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:07.7101407Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:07.7102159Z INFO 12-04 09:52:07 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:52:07.7102879Z INFO 12-04 09:52:07 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:52:07.7103232Z INFO 12-04 09:52:07 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:52:07.7103573Z INFO 12-04 09:52:07 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:52:07.7103893Z INFO 12-04 09:52:07 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:52:07.7104185Z INFO 12-04 09:52:07 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:52:07.7104499Z INFO 12-04 09:52:07 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:52:07.7104807Z INFO 12-04 09:52:07 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:52:07.7503202Z INFO 12-04 09:52:07 [parallel_state.py:1231] rank 0 in world size 4 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:52:07.7503966Z INFO 12-04 09:52:07 [parallel_state.py:1231] rank 1 in world size 4 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:52:07.7522430Z INFO 12-04 09:52:07 [parallel_state.py:1231] rank 3 in world size 4 is assigned as DP rank 0, PP rank 1, TP rank 1, EP rank 1 2025-12-04T09:52:07.7523244Z INFO 12-04 09:52:07 [parallel_state.py:1231] rank 2 in world size 4 is assigned as DP rank 0, PP rank 1, TP rank 0, EP rank 0 2025-12-04T09:52:07.9870138Z INFO 12-04 09:52:07 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:52:07.9954338Z INFO 12-04 09:52:07 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:52:07.9980066Z INFO 12-04 09:52:07 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:52:08.0108479Z INFO 12-04 09:52:08 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:52:08.0187965Z (Worker_PP0_TP0 pid=53715) INFO 12-04 09:52:08 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:52:08.0263919Z (Worker_PP1_TP0 pid=53717) INFO 12-04 09:52:08 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:52:08.0286718Z (Worker_PP0_TP1 pid=53716) INFO 12-04 09:52:08 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:52:08.0425453Z (Worker_PP1_TP1 pid=53718) INFO 12-04 09:52:08 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:52:08.2290051Z (Worker_PP0_TP0 pid=53715) INFO 12-04 09:52:08 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:52:08.2620752Z (Worker_PP0_TP1 pid=53716) INFO 12-04 09:52:08 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:52:08.2621786Z (Worker_PP1_TP0 pid=53717) INFO 12-04 09:52:08 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:52:08.2911545Z (Worker_PP1_TP1 pid=53718) INFO 12-04 09:52:08 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:52:08.3178818Z (Worker_PP0_TP0 pid=53715) INFO 12-04 09:52:08 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:52:08.3528899Z (Worker_PP1_TP0 pid=53717) INFO 12-04 09:52:08 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:52:08.3529729Z (Worker_PP0_TP1 pid=53716) INFO 12-04 09:52:08 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:52:08.3809759Z (Worker_PP1_TP1 pid=53718) INFO 12-04 09:52:08 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:52:08.8108722Z (Worker_PP0_TP0 pid=53715) INFO 12-04 09:52:08 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.153224 seconds 2025-12-04T09:52:08.8796356Z (Worker_PP0_TP1 pid=53716) INFO 12-04 09:52:08 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.154837 seconds 2025-12-04T09:52:08.9047079Z (Worker_PP1_TP0 pid=53717) INFO 12-04 09:52:08 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.156520 seconds 2025-12-04T09:52:08.9275833Z (Worker_PP1_TP1 pid=53718) INFO 12-04 09:52:08 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.155928 seconds 2025-12-04T09:52:11.2500522Z (Worker_PP1_TP0 pid=53717) INFO 12-04 09:52:11 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/918ac42dc5/rank_2_0/backbone for vLLM's torch.compile 2025-12-04T09:52:11.2506531Z (Worker_PP1_TP0 pid=53717) INFO 12-04 09:52:11 [backends.py:608] Dynamo bytecode transform time: 2.08 s 2025-12-04T09:52:11.2716081Z (Worker_PP0_TP1 pid=53716) INFO 12-04 09:52:11 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/728314b73b/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:52:11.2724078Z (Worker_PP0_TP1 pid=53716) INFO 12-04 09:52:11 [backends.py:608] Dynamo bytecode transform time: 2.12 s 2025-12-04T09:52:11.2827888Z (Worker_PP1_TP1 pid=53718) INFO 12-04 09:52:11 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/918ac42dc5/rank_3_0/backbone for vLLM's torch.compile 2025-12-04T09:52:11.2835434Z (Worker_PP1_TP1 pid=53718) INFO 12-04 09:52:11 [backends.py:608] Dynamo bytecode transform time: 2.11 s 2025-12-04T09:52:11.2993215Z (Worker_PP0_TP0 pid=53715) INFO 12-04 09:52:11 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/728314b73b/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:52:11.3000746Z (Worker_PP0_TP0 pid=53715) INFO 12-04 09:52:11 [backends.py:608] Dynamo bytecode transform time: 2.16 s 2025-12-04T09:52:11.8445554Z (Worker_PP1_TP0 pid=53717) INFO 12-04 09:52:11 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.389 s 2025-12-04T09:52:11.8732162Z (Worker_PP0_TP1 pid=53716) INFO 12-04 09:52:11 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.393 s 2025-12-04T09:52:11.8847350Z (Worker_PP1_TP1 pid=53718) INFO 12-04 09:52:11 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.398 s 2025-12-04T09:52:11.9162135Z (Worker_PP0_TP0 pid=53715) INFO 12-04 09:52:11 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.400 s 2025-12-04T09:52:12.7858571Z (Worker_PP0_TP0 pid=53715) INFO 12-04 09:52:12 [gpu_worker.py:314] Available KV cache memory: 19.02 GiB 2025-12-04T09:52:12.8383542Z (Worker_PP0_TP1 pid=53716) INFO 12-04 09:52:12 [gpu_worker.py:314] Available KV cache memory: 19.02 GiB 2025-12-04T09:52:12.8680785Z (Worker_PP1_TP1 pid=53718) INFO 12-04 09:52:12 [gpu_worker.py:314] Available KV cache memory: 18.99 GiB 2025-12-04T09:52:12.9037226Z (Worker_PP1_TP0 pid=53717) INFO 12-04 09:52:12 [gpu_worker.py:314] Available KV cache memory: 18.99 GiB 2025-12-04T09:52:13.1728892Z (EngineCore_DP0 pid=53596) INFO 12-04 09:52:13 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:52:13.1730841Z (EngineCore_DP0 pid=53596) INFO 12-04 09:52:13 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:52:13.1731752Z (EngineCore_DP0 pid=53596) INFO 12-04 09:52:13 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:52:13.1732620Z (EngineCore_DP0 pid=53596) INFO 12-04 09:52:13 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:52:13.1733482Z (EngineCore_DP0 pid=53596) INFO 12-04 09:52:13 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:52:13.1734329Z (EngineCore_DP0 pid=53596) INFO 12-04 09:52:13 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:52:13.1735571Z (EngineCore_DP0 pid=53596) INFO 12-04 09:52:13 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:52:13.1736446Z (EngineCore_DP0 pid=53596) INFO 12-04 09:52:13 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:52:13.1802961Z (Worker_PP1_TP1 pid=53718) INFO 12-04 09:52:13 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:52:13.1803784Z (Worker_PP0_TP1 pid=53716) INFO 12-04 09:52:13 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:52:13.1804546Z (Worker_PP1_TP0 pid=53717) INFO 12-04 09:52:13 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:52:13.1805282Z (Worker_PP0_TP0 pid=53715) INFO 12-04 09:52:13 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:52:13.5860704Z (Worker_PP1_TP0 pid=53717) INFO 12-04 09:52:13 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 0.405 s 2025-12-04T09:52:13.5896263Z (Worker_PP1_TP1 pid=53718) INFO 12-04 09:52:13 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 0.409 s 2025-12-04T09:52:13.5902293Z (Worker_PP1_TP0 pid=53717) INFO 12-04 09:52:13 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T09:52:13.5902924Z (Worker_PP1_TP1 pid=53718) INFO 12-04 09:52:13 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T09:52:13.6284735Z (Worker_PP0_TP1 pid=53716) INFO 12-04 09:52:13 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 0.448 s 2025-12-04T09:52:13.6290142Z (Worker_PP0_TP1 pid=53716) INFO 12-04 09:52:13 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T09:52:13.6319894Z (Worker_PP0_TP0 pid=53715) INFO 12-04 09:52:13 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 0.451 s 2025-12-04T09:52:13.6325847Z (Worker_PP0_TP0 pid=53715) INFO 12-04 09:52:13 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T09:52:13.9263677Z (Worker_PP1_TP0 pid=53717) INFO 12-04 09:52:13 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 0.336 s 2025-12-04T09:52:13.9264612Z (Worker_PP1_TP0 pid=53717) INFO 12-04 09:52:13 [monitor.py:33] torch.compile takes 2.08 s in total 2025-12-04T09:52:13.9298488Z (Worker_PP1_TP1 pid=53718) INFO 12-04 09:52:13 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 0.339 s 2025-12-04T09:52:13.9299366Z (Worker_PP1_TP1 pid=53718) INFO 12-04 09:52:13 [monitor.py:33] torch.compile takes 2.11 s in total 2025-12-04T09:52:13.9736003Z (Worker_PP0_TP1 pid=53716) INFO 12-04 09:52:13 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 0.344 s 2025-12-04T09:52:13.9736896Z (Worker_PP0_TP1 pid=53716) INFO 12-04 09:52:13 [monitor.py:33] torch.compile takes 2.12 s in total 2025-12-04T09:52:13.9776979Z (Worker_PP0_TP0 pid=53715) INFO 12-04 09:52:13 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 0.345 s 2025-12-04T09:52:13.9778065Z (Worker_PP0_TP0 pid=53715) INFO 12-04 09:52:13 [monitor.py:33] torch.compile takes 2.16 s in total 2025-12-04T09:52:13.9797903Z (EngineCore_DP0 pid=53596) INFO 12-04 09:52:13 [core.py:240] init engine (profile, create kv cache, warmup model) took 5.05 seconds 2025-12-04T09:52:14.7745058Z (EngineCore_DP0 pid=53596) INFO 12-04 09:52:14 [core.py:178] Batch queue is enabled with size 2 2025-12-04T09:52:14.7773961Z (EngineCore_DP0 pid=53596) INFO 12-04 09:52:14 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:52:14.9632394Z (APIServer pid=53474) INFO 12-04 09:52:14 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 155568 2025-12-04T09:52:14.9820298Z (EngineCore_DP0 pid=53596) INFO 12-04 09:52:14 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:52:15.0036261Z (APIServer pid=53474) INFO 12-04 09:52:15 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:52:15.0295039Z (APIServer pid=53474) WARNING 12-04 09:52:15 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:52:15.0296608Z (APIServer pid=53474) INFO 12-04 09:52:15 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:52:15.0488580Z (APIServer pid=53474) INFO 12-04 09:52:15 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:52:15.0709735Z (APIServer pid=53474) INFO 12-04 09:52:15 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:52:15.0711532Z (APIServer pid=53474) INFO 12-04 09:52:15 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:48651 2025-12-04T09:52:15.0712773Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:38] Available routes are: 2025-12-04T09:52:15.0714153Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD 2025-12-04T09:52:15.0715344Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /docs, Methods: GET, HEAD 2025-12-04T09:52:15.0716850Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD 2025-12-04T09:52:15.0718087Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /redoc, Methods: GET, HEAD 2025-12-04T09:52:15.0718880Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:52:15.0719598Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:52:15.0720107Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:52:15.0720645Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:52:15.0721167Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:52:15.0721706Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:52:15.0722235Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:52:15.0722757Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:52:15.0723291Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:52:15.0724006Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:52:15.0724637Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:52:15.0725252Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:52:15.0725818Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:52:15.0726365Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:52:15.0727055Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:52:15.0727598Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:52:15.0728122Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:52:15.0728631Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:52:15.0729190Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:52:15.0729775Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:52:15.0730317Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:52:15.0730837Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:52:15.0731365Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:52:15.0731911Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:52:15.0732481Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:52:15.0733036Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:52:15.0733556Z (APIServer pid=53474) INFO 12-04 09:52:15 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:52:15.0869426Z (APIServer pid=53474) INFO: Started server process [53474] 2025-12-04T09:52:15.0870539Z (APIServer pid=53474) INFO: Waiting for application startup. 2025-12-04T09:52:15.2949317Z (APIServer pid=53474) INFO: Application startup complete. 2025-12-04T09:52:15.6804699Z (APIServer pid=53474) INFO: 127.0.0.1:59550 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:52:15.9324433Z (APIServer pid=53474) INFO: 127.0.0.1:59564 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:52:15.9630912Z (Worker_PP0_TP1 pid=53716) /opt/conda/envs/py_3.12/lib/python3.12/site-packages/vllm/distributed/parallel_state.py:530: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_new.cpp:1581.) 2025-12-04T09:52:15.9633329Z (Worker_PP0_TP1 pid=53716) object_tensor = torch.frombuffer(pickle.dumps(obj), dtype=torch.uint8) 2025-12-04T09:52:15.9635490Z (Worker_PP0_TP0 pid=53715) /opt/conda/envs/py_3.12/lib/python3.12/site-packages/vllm/distributed/parallel_state.py:530: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_new.cpp:1581.) 2025-12-04T09:52:15.9637641Z (Worker_PP0_TP0 pid=53715) object_tensor = torch.frombuffer(pickle.dumps(obj), dtype=torch.uint8) 2025-12-04T09:52:15.9638749Z [rank1]:[W1204 09:52:15.131058793 ProcessGroupNCCL.cpp:4068] Warning: An unbatched P2P op (send/recv) was called on this ProcessGroup with size 2. In lazy initialization mode, this will result in a new 2-rank NCCL communicator to be created. (function operator()) 2025-12-04T09:52:15.9640175Z [rank3]:[W1204 09:52:15.131207582 ProcessGroupNCCL.cpp:4068] Warning: An unbatched P2P op (send/recv) was called on this ProcessGroup with size 2. In lazy initialization mode, this will result in a new 2-rank NCCL communicator to be created. (function operator()) 2025-12-04T09:52:15.9641463Z [rank0]:[W1204 09:52:15.131248515 ProcessGroupNCCL.cpp:4068] Warning: An unbatched P2P op (send/recv) was called on this ProcessGroup with size 2. In lazy initialization mode, this will result in a new 2-rank NCCL communicator to be created. (function operator()) 2025-12-04T09:52:15.9642742Z [rank2]:[W1204 09:52:15.131513531 ProcessGroupNCCL.cpp:4068] Warning: An unbatched P2P op (send/recv) was called on this ProcessGroup with size 2. In lazy initialization mode, this will result in a new 2-rank NCCL communicator to be created. (function operator()) 2025-12-04T09:52:16.0886130Z (APIServer pid=53474) INFO: 127.0.0.1:59564 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:52:16.1549868Z (APIServer pid=53474) INFO: 127.0.0.1:59564 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:52:16.2886722Z (APIServer pid=53474) INFO: 127.0.0.1:59564 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:52:16.3804850Z (APIServer pid=53474) INFO: 127.0.0.1:59564 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:52:16.4443538Z (APIServer pid=53474) INFO: 127.0.0.1:59564 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:52:16.4532008Z (APIServer pid=53474) INFO: 127.0.0.1:59564 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:52:16.5361672Z (APIServer pid=53474) INFO 12-04 09:52:16 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:52:16.5364814Z (Worker_PP0_TP0 pid=53715) INFO 12-04 09:52:16 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:52:16.5366680Z (Worker_PP0_TP0 pid=53715) INFO 12-04 09:52:16 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:52:16.5368545Z (Worker_PP0_TP1 pid=53716) INFO 12-04 09:52:16 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:52:16.5370442Z (Worker_PP0_TP1 pid=53716) INFO 12-04 09:52:16 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:52:16.5373571Z (Worker_PP1_TP0 pid=53717) INFO 12-04 09:52:16 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:52:16.5375000Z (Worker_PP1_TP0 pid=53717) INFO 12-04 09:52:16 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:52:16.5378694Z (Worker_PP1_TP1 pid=53718) INFO 12-04 09:52:16 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:52:16.5379911Z (Worker_PP1_TP1 pid=53718) INFO 12-04 09:52:16 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:52:19.1520701Z (APIServer pid=53474) INFO: Shutting down 2025-12-04T09:52:19.2524428Z (APIServer pid=53474) INFO: Waiting for application shutdown. 2025-12-04T09:52:19.2527971Z (APIServer pid=53474) INFO: Application shutdown complete. 2025-12-04T09:52:19.6045208Z INFO 12-04 09:52:19 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:52:19.6057268Z WARNING 12-04 09:52:19 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:52:19.6057856Z INFO 12-04 09:52:19 [model.py:1714] Using max model len 2048 2025-12-04T09:52:19.6060585Z Launching RemoteOpenAIServer with: vllm serve meta-llama/Llama-3.2-1B-Instruct --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enable-chunked-prefill --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --distributed-executor-backend mp --load-format dummy --port 38747 --seed 0 2025-12-04T09:52:22.4814205Z INFO 12-04 09:52:22 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:52:26.1246661Z (APIServer pid=54097) INFO 12-04 09:52:26 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:52:26.1271070Z (APIServer pid=54097) INFO 12-04 09:52:26 [utils.py:239] non-default args: {'model_tag': 'meta-llama/Llama-3.2-1B-Instruct', 'port': 38747, 'model': 'meta-llama/Llama-3.2-1B-Instruct', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'mp', 'tensor_parallel_size': 2, 'max_num_seqs': 8, 'enable_chunked_prefill': True} 2025-12-04T09:52:26.2702692Z (APIServer pid=54097) INFO 12-04 09:52:26 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:52:26.2704750Z (APIServer pid=54097) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:52:26.2706113Z (APIServer pid=54097) WARNING 12-04 09:52:26 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:52:26.2707699Z (APIServer pid=54097) INFO 12-04 09:52:26 [model.py:1714] Using max model len 2048 2025-12-04T09:52:26.4286737Z (APIServer pid=54097) INFO 12-04 09:52:26 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:52:26.4289949Z (APIServer pid=54097) INFO 12-04 09:52:26 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:52:29.8383074Z INFO 12-04 09:52:29 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:52:33.4748802Z (EngineCore_DP0 pid=54219) INFO 12-04 09:52:33 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:52:33.5019382Z (EngineCore_DP0 pid=54219) INFO 12-04 09:52:33 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='meta-llama/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-1B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-1B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 0, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': [], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:52:33.5025264Z (EngineCore_DP0 pid=54219) WARNING 12-04 09:52:33 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:52:33.5029709Z (EngineCore_DP0 pid=54219) INFO 12-04 09:52:33 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_c9e0d6b8'), local_subscribe_addr='ipc:///tmp/2d566d6e-2834-4d07-aac4-76c41f093824', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:52:36.4063134Z INFO 12-04 09:52:36 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:52:36.4250577Z INFO 12-04 09:52:36 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:52:41.6833389Z INFO 12-04 09:52:41 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_9ed39b0b'), local_subscribe_addr='ipc:///tmp/9179fffe-b447-4872-bdb7-425a256927a6', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:52:41.7028735Z INFO 12-04 09:52:41 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_991a4418'), local_subscribe_addr='ipc:///tmp/13227a44-1209-48ab-9ca5-4697b8396601', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:52:42.6266163Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:42.6268170Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:42.6310635Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:42.6311691Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:42.6354260Z INFO 12-04 09:52:42 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:52:42.6355754Z INFO 12-04 09:52:42 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:52:42.6366358Z INFO 12-04 09:52:42 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:52:42.6368684Z INFO 12-04 09:52:42 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:52:42.8034640Z WARNING 12-04 09:52:42 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:52:42.8037096Z WARNING 12-04 09:52:42 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:52:42.8058307Z INFO 12-04 09:52:42 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:52:42.8059347Z INFO 12-04 09:52:42 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:52:42.8060367Z WARNING 12-04 09:52:42 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:52:42.8061784Z WARNING 12-04 09:52:42 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:52:42.9029774Z INFO 12-04 09:52:42 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_0260b413'), local_subscribe_addr='ipc:///tmp/dee0cddb-8672-4c35-8353-3b8e9253ab56', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:52:42.9062862Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:52:42.9064789Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:52:42.9071441Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:52:42.9080124Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:52:43.0026295Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:52:43.0034832Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:52:43.0044405Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:43.0045428Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:52:43.0047552Z INFO 12-04 09:52:43 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:52:43.0048181Z INFO 12-04 09:52:43 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:52:43.0048689Z INFO 12-04 09:52:43 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:52:43.0049246Z INFO 12-04 09:52:43 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:52:43.0398284Z INFO 12-04 09:52:43 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:52:43.0399801Z INFO 12-04 09:52:43 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:52:43.2965236Z INFO 12-04 09:52:43 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:52:43.3212146Z INFO 12-04 09:52:43 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:52:43.3288778Z (Worker_TP0 pid=54338) INFO 12-04 09:52:43 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:52:43.3537441Z (Worker_TP1 pid=54339) INFO 12-04 09:52:43 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:52:43.5407654Z (Worker_TP0 pid=54338) INFO 12-04 09:52:43 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:52:43.6009854Z (Worker_TP1 pid=54339) INFO 12-04 09:52:43 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:52:43.6299078Z (Worker_TP0 pid=54338) INFO 12-04 09:52:43 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:52:43.6890642Z (Worker_TP1 pid=54339) INFO 12-04 09:52:43 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:52:44.0768382Z (Worker_TP0 pid=54338) INFO 12-04 09:52:44 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.117737 seconds 2025-12-04T09:52:44.1855575Z (Worker_TP1 pid=54339) INFO 12-04 09:52:44 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.116815 seconds 2025-12-04T09:52:46.4352911Z (Worker_TP0 pid=54338) INFO 12-04 09:52:46 [gpu_worker.py:314] Available KV cache memory: 18.53 GiB 2025-12-04T09:52:46.5359494Z (Worker_TP1 pid=54339) INFO 12-04 09:52:46 [gpu_worker.py:314] Available KV cache memory: 18.53 GiB 2025-12-04T09:52:46.7793000Z (EngineCore_DP0 pid=54219) INFO 12-04 09:52:46 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,464 tokens 2025-12-04T09:52:46.7793989Z (EngineCore_DP0 pid=54219) INFO 12-04 09:52:46 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.00x 2025-12-04T09:52:46.7794868Z (EngineCore_DP0 pid=54219) INFO 12-04 09:52:46 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,464 tokens 2025-12-04T09:52:46.7795699Z (EngineCore_DP0 pid=54219) INFO 12-04 09:52:46 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.00x 2025-12-04T09:52:46.9687346Z (EngineCore_DP0 pid=54219) INFO 12-04 09:52:46 [core.py:240] init engine (profile, create kv cache, warmup model) took 2.70 seconds 2025-12-04T09:52:47.4784730Z (EngineCore_DP0 pid=54219) INFO 12-04 09:52:47 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:52:47.6643581Z (APIServer pid=54097) INFO 12-04 09:52:47 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 75904 2025-12-04T09:52:47.6800838Z (EngineCore_DP0 pid=54219) INFO 12-04 09:52:47 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:52:47.7006982Z (APIServer pid=54097) INFO 12-04 09:52:47 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:52:47.7238145Z (APIServer pid=54097) WARNING 12-04 09:52:47 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:52:47.7241486Z (APIServer pid=54097) INFO 12-04 09:52:47 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:52:47.7479329Z (APIServer pid=54097) INFO 12-04 09:52:47 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:52:47.7697775Z (APIServer pid=54097) INFO 12-04 09:52:47 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:52:47.7699738Z (APIServer pid=54097) INFO 12-04 09:52:47 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:38747 2025-12-04T09:52:47.7701124Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:38] Available routes are: 2025-12-04T09:52:47.7702436Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD 2025-12-04T09:52:47.7703232Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /docs, Methods: GET, HEAD 2025-12-04T09:52:47.7703802Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD 2025-12-04T09:52:47.7704368Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /redoc, Methods: GET, HEAD 2025-12-04T09:52:47.7704891Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:52:47.7705543Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:52:47.7706041Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:52:47.7706548Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:52:47.7707077Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:52:47.7707619Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:52:47.7708137Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:52:47.7708663Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:52:47.7709197Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:52:47.7709781Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:52:47.7710402Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:52:47.7711014Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:52:47.7711705Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:52:47.7712272Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:52:47.7712804Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:52:47.7713547Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:52:47.7714429Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:52:47.7715049Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:52:47.7715759Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:52:47.7716369Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:52:47.7716919Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:52:47.7717443Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:52:47.7717966Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:52:47.7718531Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:52:47.7719203Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:52:47.7719769Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:52:47.7720288Z (APIServer pid=54097) INFO 12-04 09:52:47 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:52:47.7855647Z (APIServer pid=54097) INFO: Started server process [54097] 2025-12-04T09:52:47.7856961Z (APIServer pid=54097) INFO: Waiting for application startup. 2025-12-04T09:52:47.9972024Z (APIServer pid=54097) INFO: Application startup complete. 2025-12-04T09:52:48.1774817Z (APIServer pid=54097) INFO: 127.0.0.1:59954 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:52:48.1877508Z (APIServer pid=54097) INFO: 127.0.0.1:59960 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:52:48.4217591Z (APIServer pid=54097) INFO: 127.0.0.1:59960 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:52:48.4767111Z (APIServer pid=54097) INFO: 127.0.0.1:59960 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:52:48.5635781Z (APIServer pid=54097) INFO: 127.0.0.1:59960 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:52:48.6476082Z (APIServer pid=54097) INFO: 127.0.0.1:59960 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:52:48.7191642Z (APIServer pid=54097) INFO: 127.0.0.1:59960 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:52:48.7273921Z (APIServer pid=54097) INFO: 127.0.0.1:59960 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:52:48.8047099Z (APIServer pid=54097) INFO 12-04 09:52:48 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:52:48.8052054Z (Worker_TP0 pid=54338) INFO 12-04 09:52:48 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:52:48.8053663Z (Worker_TP0 pid=54338) INFO 12-04 09:52:48 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:52:48.8056389Z (Worker_TP1 pid=54339) INFO 12-04 09:52:48 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:52:48.8058156Z (Worker_TP1 pid=54339) INFO 12-04 09:52:48 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:52:50.8184651Z (APIServer pid=54097) INFO: Shutting down 2025-12-04T09:52:50.9190563Z (APIServer pid=54097) INFO: Waiting for application shutdown. 2025-12-04T09:52:50.9193276Z (APIServer pid=54097) INFO: Application shutdown complete. 2025-12-04T09:52:51.4835519Z PASSED 2025-12-04T09:52:51.4983824Z distributed/test_sequence_parallel.py::test_tp_sp_generation[meta-llama/Llama-3.2-1B-Instruct-parallel_setup15-ray-auto-test_options15] Fork a new process to run a test 54550 2025-12-04T09:52:51.4998820Z Fork a new process to run a test 0 2025-12-04T09:52:52.1180684Z INFO 12-04 09:52:52 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:52:52.1181572Z `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:52:52.1182445Z WARNING 12-04 09:52:52 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:52:52.1183288Z INFO 12-04 09:52:52 [model.py:1714] Using max model len 2048 2025-12-04T09:52:52.1186936Z Launching RemoteOpenAIServer with: vllm serve meta-llama/Llama-3.2-1B-Instruct --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enable-chunked-prefill --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --pipeline-parallel-size 2 --distributed-executor-backend ray --compilation_config {"level": 3, "custom_ops": ["+rms_norm"], "compile_sizes": [4, 8], "pass_config": {"enable_sequence_parallelism": true, "enable_fusion": false, "enable_noop": true}} --load-format dummy --port 51571 --seed 0 2025-12-04T09:52:55.0280322Z INFO 12-04 09:52:55 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:52:58.6736318Z (APIServer pid=54599) INFO 12-04 09:52:58 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:52:58.6762337Z (APIServer pid=54599) INFO 12-04 09:52:58 [utils.py:239] non-default args: {'model_tag': 'meta-llama/Llama-3.2-1B-Instruct', 'port': 51571, 'model': 'meta-llama/Llama-3.2-1B-Instruct', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'ray', 'pipeline_parallel_size': 2, 'tensor_parallel_size': 2, 'max_num_seqs': 8, 'enable_chunked_prefill': True, 'compilation_config': {'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm'], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [4, 8], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': None, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': None, 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': None, 'local_cache_dir': None}} 2025-12-04T09:52:58.8527445Z (APIServer pid=54599) INFO 12-04 09:52:58 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:52:58.8528151Z (APIServer pid=54599) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:52:58.8528870Z (APIServer pid=54599) WARNING 12-04 09:52:58 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:52:58.8529569Z (APIServer pid=54599) INFO 12-04 09:52:58 [model.py:1714] Using max model len 2048 2025-12-04T09:52:59.0117632Z (APIServer pid=54599) INFO 12-04 09:52:59 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:52:59.0122695Z (APIServer pid=54599) INFO 12-04 09:52:59 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:53:02.4015641Z INFO 12-04 09:53:02 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:53:06.1838289Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:06 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:53:06.2109943Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:06 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='meta-llama/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-1B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=2, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-1B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm', '+rms_norm'], 'splitting_ops': ['vllm.unified_attention', 'vllm.unified_attention_with_output', 'vllm.unified_mla_attention', 'vllm.unified_mla_attention_with_output', 'vllm.mamba_mixer2', 'vllm.mamba_mixer', 'vllm.short_conv', 'vllm.linear_attention', 'vllm.plamo2_mamba_mixer', 'vllm.gdn_attention', 'vllm.sparse_attn_indexer'], 'use_inductor': True, 'compile_sizes': [8, 4], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:53:08.1158773Z (EngineCore_DP0 pid=54721) 2025-12-04 09:53:08,115 INFO worker.py:1918 -- Started a local Ray instance. View the dashboard at http://127.0.0.1:8265  2025-12-04T09:53:08.9848510Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:08 [ray_utils.py:373] No current placement group found. Creating a new placement group. 2025-12-04T09:53:09.1657874Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:09 [ray_distributed_executor.py:179] use_ray_spmd_worker: True 2025-12-04T09:53:12.2425189Z (EngineCore_DP0 pid=54721) (pid=55606) INFO 12-04 09:53:12 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:53:13.8953743Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:13 [ray_env.py:67] RAY_NON_CARRY_OVER_ENV_VARS from config: set() 2025-12-04T09:53:13.8955334Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:13 [ray_env.py:70] Copying the following environment variables to workers: ['HF_TOKEN', 'VLLM_WORKER_MULTIPROC_METHOD', 'VLLM_USE_RAY_COMPILED_DAG', 'HUGGING_FACE_HUB_TOKEN', 'LD_LIBRARY_PATH', 'VLLM_USE_RAY_SPMD_WORKER', 'MAX_JOBS', 'VLLM_USE_V1'] 2025-12-04T09:53:13.8956972Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:13 [ray_env.py:75] If certain env vars should NOT be copied, add them to /var/lib/jenkins/.config/vllm/ray_non_carry_over_env_vars.json file 2025-12-04T09:53:17.5503657Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55613) WARNING 12-04 09:53:17 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. 2025-12-04T09:53:17.5506009Z (EngineCore_DP0 pid=54721) (pid=55608) INFO 12-04 09:53:12 [__init__.py:224] Automatically detected platform cuda. [repeated 3x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.) 2025-12-04T09:53:18.8825327Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) [Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 2025-12-04T09:53:18.9879688Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) INFO 12-04 09:53:18 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:53:18.9880772Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) INFO 12-04 09:53:18 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:53:19.2974986Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) WARNING 12-04 09:53:19 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:53:19.2976400Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) INFO 12-04 09:53:19 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:53:19.2978059Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) WARNING 12-04 09:53:19 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:53:19.2980391Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) INFO 12-04 09:53:19 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_5624aa01'), local_subscribe_addr='ipc:///tmp/abbc9502-b8fc-46c3-9880-a483c57e202c', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:53:19.4034865Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) INFO 12-04 09:53:19 [parallel_state.py:1231] rank 0 in world size 4 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:53:19.7129117Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) INFO 12-04 09:53:19 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:53:19.7130405Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) INFO 12-04 09:53:19 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:53:19.9203820Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) INFO 12-04 09:53:19 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:53:20.0257784Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) INFO 12-04 09:53:19 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:53:20.5412323Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) INFO 12-04 09:53:20 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.156665 seconds 2025-12-04T09:53:22.9948030Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) INFO 12-04 09:53:22 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/918ac42dc5/rank_3_0/backbone for vLLM's torch.compile 2025-12-04T09:53:22.9949448Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) INFO 12-04 09:53:22 [backends.py:608] Dynamo bytecode transform time: 2.06 s 2025-12-04T09:53:22.9951104Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) WARNING 12-04 09:53:17 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. [repeated 3x across cluster] 2025-12-04T09:53:23.6114409Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55604) INFO 12-04 09:53:23 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.375 s 2025-12-04T09:53:24.5356783Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) INFO 12-04 09:53:24 [gpu_worker.py:314] Available KV cache memory: 19.02 GiB 2025-12-04T09:53:24.5358130Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 [repeated 23x across cluster] 2025-12-04T09:53:24.5359302Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) INFO 12-04 09:53:19 [__init__.py:1146] Found nccl from library libnccl.so.2 [repeated 11x across cluster] 2025-12-04T09:53:24.5360690Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) INFO 12-04 09:53:19 [pynccl.py:109] vLLM is using nccl==2.27.5 [repeated 11x across cluster] 2025-12-04T09:53:24.5361845Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) WARNING 12-04 09:53:19 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. [repeated 3x across cluster] 2025-12-04T09:53:24.5363107Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) INFO 12-04 09:53:19 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. [repeated 3x across cluster] 2025-12-04T09:53:24.5364625Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) WARNING 12-04 09:53:19 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. [repeated 3x across cluster] 2025-12-04T09:53:24.5366559Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55604) INFO 12-04 09:53:19 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_c3327154'), local_subscribe_addr='ipc:///tmp/332a3029-4b0e-4070-bf71-36cbf5cd6f77', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:53:24.5368126Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) INFO 12-04 09:53:19 [parallel_state.py:1231] rank 3 in world size 4 is assigned as DP rank 0, PP rank 1, TP rank 1, EP rank 1 [repeated 3x across cluster] 2025-12-04T09:53:24.7448163Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) INFO 12-04 09:53:19 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. [repeated 3x across cluster] 2025-12-04T09:53:24.7450051Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) INFO 12-04 09:53:19 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... [repeated 3x across cluster] 2025-12-04T09:53:24.9647840Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:24 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:53:24.9648978Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:24 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:53:24.9649831Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:24 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:53:24.9650686Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:24 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:53:24.9651497Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:24 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:53:24.9652349Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:24 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:53:24.9653175Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:24 [kv_cache_utils.py:1199] GPU KV cache size: 2,489,088 tokens 2025-12-04T09:53:24.9654221Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:24 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 1215.38x 2025-12-04T09:53:25.0525229Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) INFO 12-04 09:53:24 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:53:25.0526770Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55604) INFO 12-04 09:53:19 [gpu_model_runner.py:2870] Loading model from scratch... [repeated 3x across cluster] 2025-12-04T09:53:25.0528092Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55604) INFO 12-04 09:53:20 [cuda.py:404] Using Flash Attention backend on V1 engine. [repeated 3x across cluster] 2025-12-04T09:53:25.4634449Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) INFO 12-04 09:53:25 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 0.451 s 2025-12-04T09:53:25.7725478Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) INFO 12-04 09:53:25 [monitor.py:33] torch.compile takes 2.14 s in total 2025-12-04T09:53:25.7726738Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55613) INFO 12-04 09:53:20 [gpu_model_runner.py:2902] Model loading took 0.7135 GiB and 0.154941 seconds [repeated 3x across cluster] 2025-12-04T09:53:25.7751844Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:25 [core.py:240] init engine (profile, create kv cache, warmup model) took 5.11 seconds 2025-12-04T09:53:26.5681726Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:26 [core.py:178] Batch queue is enabled with size 2 2025-12-04T09:53:26.5722590Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:26 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:53:26.6887396Z (APIServer pid=54599) INFO 12-04 09:53:26 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 155568 2025-12-04T09:53:26.7998291Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:26 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:53:26.8272366Z (APIServer pid=54599) INFO 12-04 09:53:26 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:53:26.8570070Z (APIServer pid=54599) WARNING 12-04 09:53:26 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:53:26.8572106Z (APIServer pid=54599) INFO 12-04 09:53:26 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:53:26.9225536Z (APIServer pid=54599) INFO 12-04 09:53:26 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:53:26.9463942Z (APIServer pid=54599) INFO 12-04 09:53:26 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:53:26.9465976Z (APIServer pid=54599) INFO 12-04 09:53:26 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:51571 2025-12-04T09:53:26.9467369Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:38] Available routes are: 2025-12-04T09:53:26.9468669Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /openapi.json, Methods: HEAD, GET 2025-12-04T09:53:26.9470222Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /docs, Methods: HEAD, GET 2025-12-04T09:53:26.9471386Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: HEAD, GET 2025-12-04T09:53:26.9472004Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /redoc, Methods: HEAD, GET 2025-12-04T09:53:26.9472724Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:53:26.9473230Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:53:26.9473726Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:53:26.9474220Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:53:26.9474728Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:53:26.9475271Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:53:26.9475948Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:53:26.9476467Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:53:26.9477002Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:53:26.9477584Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:53:26.9478215Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:53:26.9478825Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:53:26.9479499Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:53:26.9480060Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:53:26.9480581Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:53:26.9481109Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:53:26.9481621Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:53:26.9482130Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:53:26.9482683Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:53:26.9483348Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:53:26.9483900Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:53:26.9484426Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:53:26.9484941Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:53:26.9485487Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:53:26.9486055Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:53:26.9486606Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:53:26.9487127Z (APIServer pid=54599) INFO 12-04 09:53:26 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:53:26.9626941Z (APIServer pid=54599) INFO: Started server process [54599] 2025-12-04T09:53:26.9628184Z (APIServer pid=54599) INFO: Waiting for application startup. 2025-12-04T09:53:27.1808359Z (APIServer pid=54599) INFO: Application startup complete. 2025-12-04T09:53:27.2142968Z (APIServer pid=54599) INFO: 127.0.0.1:55326 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:53:27.4606979Z (APIServer pid=54599) INFO: 127.0.0.1:55328 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:53:27.4908052Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:27 [ray_distributed_executor.py:569] RAY_CGRAPH_get_timeout is set to 300 2025-12-04T09:53:27.4909165Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:27 [ray_distributed_executor.py:573] VLLM_USE_RAY_COMPILED_DAG_CHANNEL_TYPE = auto 2025-12-04T09:53:27.4910236Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:27 [ray_distributed_executor.py:577] VLLM_USE_RAY_COMPILED_DAG_OVERLAP_COMM = False 2025-12-04T09:53:27.4915195Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:27 [ray_distributed_executor.py:653] Using RayPPCommunicator (which wraps vLLM _PP GroupCoordinator) for Ray Compiled Graph communication. 2025-12-04T09:53:27.5181196Z (EngineCore_DP0 pid=54721) 2025-12-04 09:53:27,517 INFO torch_tensor_accelerator_channel.py:807 -- Creating communicator group 7c33dc34-c8b7-4683-9081-8189337453cb on actors: [Actor(RayWorkerWrapper, bcaeaf2f089c060d00d845cb01000000), Actor(RayWorkerWrapper, f5f73b8bf8c81b326f22442301000000), Actor(RayWorkerWrapper, 8d0c50fdc473f197f46e12b001000000), Actor(RayWorkerWrapper, 2f4bc4607154ebfdcd52f5f101000000)] 2025-12-04T09:53:27.5734374Z (EngineCore_DP0 pid=54721) 2025-12-04 09:53:27,572 INFO torch_tensor_accelerator_channel.py:833 -- Communicator group initialized. 2025-12-04T09:53:27.6150968Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) /opt/conda/envs/py_3.12/lib/python3.12/site-packages/vllm/distributed/device_communicators/ray_communicator.py:107: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_new.cpp:1581.) 2025-12-04T09:53:27.6153359Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55606) actor_id_tensor = torch.frombuffer(actor_id_bytes, dtype=torch.uint8).to( 2025-12-04T09:53:27.8002063Z (APIServer pid=54599) INFO: 127.0.0.1:55328 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:53:27.8667737Z (APIServer pid=54599) INFO: 127.0.0.1:55328 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:53:28.0243308Z (APIServer pid=54599) INFO: 127.0.0.1:55328 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:53:28.1035232Z (APIServer pid=54599) INFO: 127.0.0.1:55328 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:53:28.1685366Z (APIServer pid=54599) INFO: 127.0.0.1:55328 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:53:28.1765181Z (APIServer pid=54599) INFO: 127.0.0.1:55328 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:53:28.2876768Z (APIServer pid=54599) INFO 12-04 09:53:28 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:53:28.2877333Z *** SIGTERM received at time=1764842008 on cpu 13 *** 2025-12-04T09:53:28.2925186Z PC: @ 0x7fe926127117 (unknown) (unknown) 2025-12-04T09:53:28.2926282Z @ 0x7fe9260d8520 (unknown) (unknown) 2025-12-04T09:53:28.2929072Z [2025-12-04 09:53:28,292 E 54721 54721] logging.cc:501: *** SIGTERM received at time=1764842008 on cpu 13 *** 2025-12-04T09:53:28.2929674Z [2025-12-04 09:53:28,292 E 54721 54721] logging.cc:501: PC: @ 0x7fe926127117 (unknown) (unknown) 2025-12-04T09:53:28.2930444Z [2025-12-04 09:53:28,292 E 54721 54721] logging.cc:501: @ 0x7fe9260d8520 (unknown) (unknown) 2025-12-04T09:53:28.2932615Z (EngineCore_DP0 pid=54721) INFO 12-04 09:53:28 [ray_distributed_executor.py:127] Shutting down Ray distributed executor. If you see error log from logging.cc regarding SIGTERM received, please ignore because this is the expected termination process in Ray. 2025-12-04T09:53:28.2934013Z (EngineCore_DP0 pid=54721) 2025-12-04 09:53:28,293 INFO compiled_dag_node.py:2171 -- Tearing down compiled DAG 2025-12-04T09:53:28.2935253Z (EngineCore_DP0 pid=54721) 2025-12-04 09:53:28,293 INFO compiled_dag_node.py:2176 -- Cancelling compiled worker on actor: Actor(RayWorkerWrapper, bcaeaf2f089c060d00d845cb01000000) 2025-12-04T09:53:28.2936795Z (EngineCore_DP0 pid=54721) 2025-12-04 09:53:28,293 INFO compiled_dag_node.py:2176 -- Cancelling compiled worker on actor: Actor(RayWorkerWrapper, 8d0c50fdc473f197f46e12b001000000) 2025-12-04T09:53:28.2938088Z (EngineCore_DP0 pid=54721) 2025-12-04 09:53:28,293 INFO compiled_dag_node.py:2176 -- Cancelling compiled worker on actor: Actor(RayWorkerWrapper, f5f73b8bf8c81b326f22442301000000) 2025-12-04T09:53:28.2939326Z (EngineCore_DP0 pid=54721) 2025-12-04 09:53:28,293 INFO compiled_dag_node.py:2176 -- Cancelling compiled worker on actor: Actor(RayWorkerWrapper, 2f4bc4607154ebfdcd52f5f101000000) 2025-12-04T09:53:28.2988650Z (EngineCore_DP0 pid=54721) 2025-12-04 09:53:28,298 INFO compiled_dag_node.py:2198 -- Waiting for worker tasks to exit 2025-12-04T09:53:28.2990501Z (EngineCore_DP0 pid=54721) 2025-12-04 09:53:28,298 INFO compiled_dag_node.py:2201 -- Teardown complete 2025-12-04T09:53:28.8019769Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55604) INFO 12-04 09:53:23 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/918ac42dc5/rank_2_0/backbone for vLLM's torch.compile [repeated 3x across cluster] 2025-12-04T09:53:28.8021398Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55604) INFO 12-04 09:53:23 [backends.py:608] Dynamo bytecode transform time: 2.08 s [repeated 3x across cluster] 2025-12-04T09:53:28.8022657Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55613) INFO 12-04 09:53:23 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 0.380 s [repeated 3x across cluster] 2025-12-04T09:53:28.8023774Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55604) INFO 12-04 09:53:24 [gpu_worker.py:314] Available KV cache memory: 18.99 GiB [repeated 3x across cluster] 2025-12-04T09:53:28.8025005Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) INFO 12-04 09:53:25 [gpu_worker.py:351] Compile and warming up model for size 4 [repeated 7x across cluster] 2025-12-04T09:53:28.8026091Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) INFO 12-04 09:53:25 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 0.340 s [repeated 7x across cluster] 2025-12-04T09:53:28.8027127Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) INFO 12-04 09:53:25 [monitor.py:33] torch.compile takes 2.06 s in total [repeated 3x across cluster] 2025-12-04T09:53:28.8029749Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) /opt/conda/envs/py_3.12/lib/python3.12/site-packages/vllm/distributed/device_communicators/ray_communicator.py:107: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_new.cpp:1581.) [repeated 3x across cluster] 2025-12-04T09:53:28.8032737Z (EngineCore_DP0 pid=54721) (RayWorkerWrapper pid=55608) actor_id_tensor = torch.frombuffer(actor_id_bytes, dtype=torch.uint8).to( [repeated 3x across cluster] 2025-12-04T09:53:30.6973214Z (APIServer pid=54599) INFO: Shutting down 2025-12-04T09:53:30.7975128Z (APIServer pid=54599) INFO: Waiting for application shutdown. 2025-12-04T09:53:30.7976084Z (APIServer pid=54599) INFO: Application shutdown complete. 2025-12-04T09:53:31.1565815Z INFO 12-04 09:53:31 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:53:31.1567573Z WARNING 12-04 09:53:31 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:53:31.1568529Z INFO 12-04 09:53:31 [model.py:1714] Using max model len 2048 2025-12-04T09:53:31.1571005Z Launching RemoteOpenAIServer with: vllm serve meta-llama/Llama-3.2-1B-Instruct --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enable-chunked-prefill --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --distributed-executor-backend mp --load-format dummy --port 35931 --seed 0 2025-12-04T09:53:34.0532502Z INFO 12-04 09:53:34 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:53:37.7291865Z (APIServer pid=59498) INFO 12-04 09:53:37 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:53:37.7315277Z (APIServer pid=59498) INFO 12-04 09:53:37 [utils.py:239] non-default args: {'model_tag': 'meta-llama/Llama-3.2-1B-Instruct', 'port': 35931, 'model': 'meta-llama/Llama-3.2-1B-Instruct', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'mp', 'tensor_parallel_size': 2, 'max_num_seqs': 8, 'enable_chunked_prefill': True} 2025-12-04T09:53:37.8962750Z (APIServer pid=59498) INFO 12-04 09:53:37 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:53:37.8964115Z (APIServer pid=59498) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:53:37.8965413Z (APIServer pid=59498) WARNING 12-04 09:53:37 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:53:37.8966702Z (APIServer pid=59498) INFO 12-04 09:53:37 [model.py:1714] Using max model len 2048 2025-12-04T09:53:38.0536681Z (APIServer pid=59498) INFO 12-04 09:53:38 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:53:38.0542072Z (APIServer pid=59498) INFO 12-04 09:53:38 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:53:41.4633133Z INFO 12-04 09:53:41 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:53:45.0793184Z (EngineCore_DP0 pid=59620) INFO 12-04 09:53:45 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:53:45.1063020Z (EngineCore_DP0 pid=59620) INFO 12-04 09:53:45 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='meta-llama/Llama-3.2-1B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-1B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-1B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 0, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': [], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:53:45.1068633Z (EngineCore_DP0 pid=59620) WARNING 12-04 09:53:45 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:53:45.1077181Z (EngineCore_DP0 pid=59620) INFO 12-04 09:53:45 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_cdb72a52'), local_subscribe_addr='ipc:///tmp/4f6930ae-d4c5-4e20-a1f2-e3e6d17d7104', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:53:48.0229221Z INFO 12-04 09:53:48 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:53:48.0344448Z INFO 12-04 09:53:48 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:53:53.2033220Z INFO 12-04 09:53:53 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_a3f5634e'), local_subscribe_addr='ipc:///tmp/b7797617-3f34-40b5-8478-fa14358c6b22', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:53:53.2428919Z INFO 12-04 09:53:53 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_1c5d9a75'), local_subscribe_addr='ipc:///tmp/ac49ce32-0783-463d-8770-92ff3b96dbee', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:53:54.1311578Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:53:54.1312451Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:53:54.1357825Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:53:54.1359146Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:53:54.1401682Z INFO 12-04 09:53:54 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:53:54.1403459Z INFO 12-04 09:53:54 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:53:54.1413241Z INFO 12-04 09:53:54 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:53:54.1416211Z INFO 12-04 09:53:54 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:53:54.3130555Z WARNING 12-04 09:53:54 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:53:54.3132229Z WARNING 12-04 09:53:54 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:53:54.3159975Z INFO 12-04 09:53:54 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:53:54.3162131Z WARNING 12-04 09:53:54 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:53:54.3164104Z INFO 12-04 09:53:54 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:53:54.3166063Z WARNING 12-04 09:53:54 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:53:54.4530125Z INFO 12-04 09:53:54 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_9f4ef167'), local_subscribe_addr='ipc:///tmp/b6b4d4b1-7add-4c8d-bb46-ec1db82410b3', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:53:54.4553914Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:53:54.4554466Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:53:54.4563456Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:53:54.4572120Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:53:54.5327379Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:53:54.5334539Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:53:54.5345088Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:53:54.5345588Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:53:54.5348106Z INFO 12-04 09:53:54 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:53:54.5348488Z INFO 12-04 09:53:54 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:53:54.5348979Z INFO 12-04 09:53:54 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:53:54.5349688Z INFO 12-04 09:53:54 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:53:54.5723520Z INFO 12-04 09:53:54 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:53:54.5724287Z INFO 12-04 09:53:54 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:53:54.7952555Z INFO 12-04 09:53:54 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:53:54.8172597Z INFO 12-04 09:53:54 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:53:54.8281705Z (Worker_TP0 pid=59739) INFO 12-04 09:53:54 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:53:54.8486934Z (Worker_TP1 pid=59740) INFO 12-04 09:53:54 [gpu_model_runner.py:2840] Starting to load model meta-llama/Llama-3.2-1B-Instruct... 2025-12-04T09:53:55.0359251Z (Worker_TP0 pid=59739) INFO 12-04 09:53:55 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:53:55.0749546Z (Worker_TP1 pid=59740) INFO 12-04 09:53:55 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:53:55.1247972Z (Worker_TP0 pid=59739) INFO 12-04 09:53:55 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:53:55.1643852Z (Worker_TP1 pid=59740) INFO 12-04 09:53:55 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:53:55.5702336Z (Worker_TP0 pid=59739) INFO 12-04 09:53:55 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.117467 seconds 2025-12-04T09:53:55.6531948Z (Worker_TP1 pid=59740) INFO 12-04 09:53:55 [gpu_model_runner.py:2902] Model loading took 1.1667 GiB and 0.117359 seconds 2025-12-04T09:53:57.8715828Z (Worker_TP0 pid=59739) INFO 12-04 09:53:57 [gpu_worker.py:314] Available KV cache memory: 18.53 GiB 2025-12-04T09:53:57.9721728Z (Worker_TP1 pid=59740) INFO 12-04 09:53:57 [gpu_worker.py:314] Available KV cache memory: 18.53 GiB 2025-12-04T09:53:58.2128788Z (EngineCore_DP0 pid=59620) INFO 12-04 09:53:58 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,464 tokens 2025-12-04T09:53:58.2129763Z (EngineCore_DP0 pid=59620) INFO 12-04 09:53:58 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.00x 2025-12-04T09:53:58.2130964Z (EngineCore_DP0 pid=59620) INFO 12-04 09:53:58 [kv_cache_utils.py:1199] GPU KV cache size: 1,214,464 tokens 2025-12-04T09:53:58.2131835Z (EngineCore_DP0 pid=59620) INFO 12-04 09:53:58 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 593.00x 2025-12-04T09:53:58.4043478Z (EngineCore_DP0 pid=59620) INFO 12-04 09:53:58 [core.py:240] init engine (profile, create kv cache, warmup model) took 2.71 seconds 2025-12-04T09:53:58.9106394Z (EngineCore_DP0 pid=59620) INFO 12-04 09:53:58 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:53:59.0964065Z (APIServer pid=59498) INFO 12-04 09:53:59 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 75904 2025-12-04T09:53:59.1121732Z (EngineCore_DP0 pid=59620) INFO 12-04 09:53:59 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:53:59.1332739Z (APIServer pid=59498) INFO 12-04 09:53:59 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:53:59.1572863Z (APIServer pid=59498) WARNING 12-04 09:53:59 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:53:59.1574416Z (APIServer pid=59498) INFO 12-04 09:53:59 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:53:59.1826009Z (APIServer pid=59498) INFO 12-04 09:53:59 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:53:59.2086302Z (APIServer pid=59498) INFO 12-04 09:53:59 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:53:59.2087301Z (APIServer pid=59498) INFO 12-04 09:53:59 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:35931 2025-12-04T09:53:59.2088035Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:38] Available routes are: 2025-12-04T09:53:59.2088702Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD 2025-12-04T09:53:59.2089400Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /docs, Methods: GET, HEAD 2025-12-04T09:53:59.2090129Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD 2025-12-04T09:53:59.2091024Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /redoc, Methods: GET, HEAD 2025-12-04T09:53:59.2091677Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:53:59.2092307Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:53:59.2092846Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:53:59.2093356Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:53:59.2093868Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:53:59.2094401Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:53:59.2094936Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:53:59.2095451Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:53:59.2095981Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:53:59.2096558Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:53:59.2097286Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:53:59.2097893Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:53:59.2098449Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:53:59.2098993Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:53:59.2099523Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:53:59.2100153Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:53:59.2100679Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:53:59.2101209Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:53:59.2101773Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:53:59.2102370Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:53:59.2102897Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:53:59.2103419Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:53:59.2103941Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:53:59.2104483Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:53:59.2105052Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:53:59.2105607Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:53:59.2106124Z (APIServer pid=59498) INFO 12-04 09:53:59 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:53:59.2249422Z (APIServer pid=59498) INFO: Started server process [59498] 2025-12-04T09:53:59.2250050Z (APIServer pid=59498) INFO: Waiting for application startup. 2025-12-04T09:53:59.4352401Z (APIServer pid=59498) INFO: Application startup complete. 2025-12-04T09:53:59.7294181Z (APIServer pid=59498) INFO: 127.0.0.1:40064 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:53:59.7385278Z (APIServer pid=59498) INFO: 127.0.0.1:40070 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:53:59.9738414Z (APIServer pid=59498) INFO: 127.0.0.1:40070 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:54:00.0296899Z (APIServer pid=59498) INFO: 127.0.0.1:40070 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:54:00.1156566Z (APIServer pid=59498) INFO: 127.0.0.1:40070 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:54:00.1888025Z (APIServer pid=59498) INFO: 127.0.0.1:40070 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:54:00.2486117Z (APIServer pid=59498) INFO: 127.0.0.1:40070 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:54:00.2556827Z (APIServer pid=59498) INFO: 127.0.0.1:40070 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:54:00.3220463Z (APIServer pid=59498) INFO 12-04 09:54:00 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:54:00.3224227Z (Worker_TP0 pid=59739) INFO 12-04 09:54:00 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:54:00.3225981Z (Worker_TP0 pid=59739) INFO 12-04 09:54:00 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:54:00.3228777Z (Worker_TP1 pid=59740) INFO 12-04 09:54:00 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:54:00.3229943Z (Worker_TP1 pid=59740) INFO 12-04 09:54:00 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:54:02.2337363Z (APIServer pid=59498) INFO: Shutting down 2025-12-04T09:54:02.3343370Z (APIServer pid=59498) INFO: Waiting for application shutdown. 2025-12-04T09:54:02.3345508Z (APIServer pid=59498) INFO: Application shutdown complete. 2025-12-04T09:54:02.9045802Z PASSED 2025-12-04T09:54:02.9195060Z distributed/test_sequence_parallel.py::test_tp_sp_generation[RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8-parallel_setup16-mp-auto-test_options16] Fork a new process to run a test 59951 2025-12-04T09:54:02.9208612Z Fork a new process to run a test 0 2025-12-04T09:54:02.9740845Z 2025-12-04T09:54:02.9744142Z tokenizer_config.json: 0.00B [00:00, ?B/s] 2025-12-04T09:54:02.9744813Z tokenizer_config.json: 55.4kB [00:00, 131MB/s] 2025-12-04T09:54:03.0766067Z 2025-12-04T09:54:03.1161265Z tokenizer.json: 0.00B [00:00, ?B/s] 2025-12-04T09:54:03.1161875Z tokenizer.json: 9.09MB [00:00, 230MB/s] 2025-12-04T09:54:03.2326795Z 2025-12-04T09:54:03.2327179Z special_tokens_map.json: 0% 0.00/325 [00:00, 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:54:18.3315824Z (EngineCore_DP0 pid=60125) WARNING 12-04 09:54:18 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:54:18.3318929Z (EngineCore_DP0 pid=60125) INFO 12-04 09:54:18 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_5c37b9c9'), local_subscribe_addr='ipc:///tmp/9ec26900-5d52-485a-83d5-e8e44845aa2f', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:54:21.2311978Z INFO 12-04 09:54:21 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:54:21.2661367Z INFO 12-04 09:54:21 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:54:26.4935028Z INFO 12-04 09:54:26 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_1f182cdb'), local_subscribe_addr='ipc:///tmp/97d195b1-a7c3-4282-a156-2331e9289f7a', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:54:26.5029743Z INFO 12-04 09:54:26 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_d500ab79'), local_subscribe_addr='ipc:///tmp/a3b2aebb-c34a-499e-bba8-1151c7eabb96', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:54:26.6914851Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:54:26.6915527Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:54:26.6965474Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:54:26.6966617Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:54:26.7007737Z INFO 12-04 09:54:26 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:54:26.7009135Z INFO 12-04 09:54:26 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:54:26.7009920Z INFO 12-04 09:54:26 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:54:26.7014131Z INFO 12-04 09:54:26 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:54:26.8715404Z WARNING 12-04 09:54:26 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:54:26.8716229Z WARNING 12-04 09:54:26 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:54:26.8739409Z INFO 12-04 09:54:26 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:54:26.8740447Z WARNING 12-04 09:54:26 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:54:26.8741488Z INFO 12-04 09:54:26 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:54:26.8743179Z WARNING 12-04 09:54:26 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:54:26.9930280Z INFO 12-04 09:54:26 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_40fb5950'), local_subscribe_addr='ipc:///tmp/a00ed6f5-1174-4bfa-be26-1d4166fb97d8', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:54:26.9954649Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:54:26.9958407Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:54:26.9963916Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:54:26.9972693Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:54:27.0926591Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:54:27.0936386Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:54:27.0947808Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:54:27.0949446Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:54:27.0952176Z INFO 12-04 09:54:27 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:54:27.0952747Z INFO 12-04 09:54:27 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:54:27.0953074Z INFO 12-04 09:54:27 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:54:27.0953381Z INFO 12-04 09:54:27 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:54:27.1291540Z INFO 12-04 09:54:27 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:54:27.1292737Z INFO 12-04 09:54:27 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:54:27.3767285Z INFO 12-04 09:54:27 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:54:27.3964634Z INFO 12-04 09:54:27 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:54:27.4123060Z (Worker_TP1 pid=60245) INFO 12-04 09:54:27 [gpu_model_runner.py:2840] Starting to load model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8... 2025-12-04T09:54:27.4334654Z (Worker_TP0 pid=60244) INFO 12-04 09:54:27 [gpu_model_runner.py:2840] Starting to load model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8... 2025-12-04T09:54:27.6311027Z (Worker_TP1 pid=60245) INFO 12-04 09:54:27 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:54:27.6730163Z (Worker_TP0 pid=60244) INFO 12-04 09:54:27 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:54:27.7211449Z (Worker_TP1 pid=60245) INFO 12-04 09:54:27 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:54:27.7640456Z (Worker_TP0 pid=60244) INFO 12-04 09:54:27 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:54:28.5892778Z (Worker_TP1 pid=60245) INFO 12-04 09:54:28 [gpu_model_runner.py:2902] Model loading took 4.2624 GiB and 0.534817 seconds 2025-12-04T09:54:28.6883800Z (Worker_TP0 pid=60244) INFO 12-04 09:54:28 [gpu_model_runner.py:2902] Model loading took 4.2624 GiB and 0.536824 seconds 2025-12-04T09:54:36.5404055Z (Worker_TP1 pid=60245) INFO 12-04 09:54:36 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/100687e5a9/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:54:36.5406978Z (Worker_TP1 pid=60245) INFO 12-04 09:54:36 [backends.py:608] Dynamo bytecode transform time: 7.61 s 2025-12-04T09:54:36.7576253Z (Worker_TP0 pid=60244) INFO 12-04 09:54:36 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/100687e5a9/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:54:36.7581032Z (Worker_TP0 pid=60244) INFO 12-04 09:54:36 [backends.py:608] Dynamo bytecode transform time: 7.80 s 2025-12-04T09:54:39.5441454Z (Worker_TP0 pid=60244) INFO 12-04 09:54:39 [backends.py:214] Cache the graph for dynamic shape for later use 2025-12-04T09:54:39.6524218Z (Worker_TP1 pid=60245) INFO 12-04 09:54:39 [backends.py:214] Cache the graph for dynamic shape for later use 2025-12-04T09:55:05.2761332Z (Worker_TP1 pid=60245) INFO 12-04 09:55:05 [backends.py:241] Compiling a graph for dynamic shape takes 28.21 s 2025-12-04T09:55:07.0346008Z (Worker_TP0 pid=60244) INFO 12-04 09:55:07 [backends.py:241] Compiling a graph for dynamic shape takes 29.73 s 2025-12-04T09:55:27.8469877Z (Worker_TP0 pid=60244) INFO 12-04 09:55:27 [gpu_worker.py:314] Available KV cache memory: 15.29 GiB 2025-12-04T09:55:27.9425751Z (Worker_TP1 pid=60245) INFO 12-04 09:55:27 [gpu_worker.py:314] Available KV cache memory: 15.29 GiB 2025-12-04T09:55:28.3120064Z (EngineCore_DP0 pid=60125) INFO 12-04 09:55:28 [kv_cache_utils.py:1199] GPU KV cache size: 250,528 tokens 2025-12-04T09:55:28.3120977Z (EngineCore_DP0 pid=60125) INFO 12-04 09:55:28 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 122.33x 2025-12-04T09:55:28.3122216Z (EngineCore_DP0 pid=60125) INFO 12-04 09:55:28 [kv_cache_utils.py:1199] GPU KV cache size: 250,528 tokens 2025-12-04T09:55:28.3123042Z (EngineCore_DP0 pid=60125) INFO 12-04 09:55:28 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 122.33x 2025-12-04T09:55:28.3237820Z (Worker_TP0 pid=60244) INFO 12-04 09:55:28 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:55:28.3238601Z (Worker_TP1 pid=60245) INFO 12-04 09:55:28 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:55:29.5183033Z (Worker_TP0 pid=60244) INFO 12-04 09:55:29 [backends.py:216] Cache the graph of shape 8 for later use 2025-12-04T09:55:29.5562212Z (Worker_TP1 pid=60245) INFO 12-04 09:55:29 [backends.py:216] Cache the graph of shape 8 for later use 2025-12-04T09:56:01.3149973Z (Worker_TP1 pid=60245) INFO 12-04 09:56:01 [backends.py:243] Compiling a graph for shape 8 takes 32.99 s 2025-12-04T09:56:01.7857956Z (Worker_TP0 pid=60244) INFO 12-04 09:56:01 [backends.py:243] Compiling a graph for shape 8 takes 33.46 s 2025-12-04T09:56:01.8702696Z (Worker_TP1 pid=60245) INFO 12-04 09:56:01 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T09:56:01.8705247Z (Worker_TP0 pid=60244) INFO 12-04 09:56:01 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T09:56:03.0477620Z (Worker_TP0 pid=60244) INFO 12-04 09:56:03 [backends.py:216] Cache the graph of shape 4 for later use 2025-12-04T09:56:03.0569375Z (Worker_TP1 pid=60245) INFO 12-04 09:56:03 [backends.py:216] Cache the graph of shape 4 for later use 2025-12-04T09:56:28.3243624Z (EngineCore_DP0 pid=60125) INFO 12-04 09:56:28 [shm_broadcast.py:482] No available shared memory broadcast block found in 60 seconds. This typically happens when some processes are hanging or doing some time-consuming work (e.g. compilation). 2025-12-04T09:56:46.1104649Z (Worker_TP1 pid=60245) INFO 12-04 09:56:46 [backends.py:243] Compiling a graph for shape 4 takes 44.24 s 2025-12-04T09:56:46.1124374Z (Worker_TP1 pid=60245) INFO 12-04 09:56:46 [monitor.py:33] torch.compile takes 113.05 s in total 2025-12-04T09:56:46.1202650Z (Worker_TP0 pid=60244) INFO 12-04 09:56:46 [backends.py:243] Compiling a graph for shape 4 takes 44.25 s 2025-12-04T09:56:46.1223909Z (Worker_TP0 pid=60244) INFO 12-04 09:56:46 [monitor.py:33] torch.compile takes 115.24 s in total 2025-12-04T09:56:46.1490797Z (EngineCore_DP0 pid=60125) INFO 12-04 09:56:46 [core.py:240] init engine (profile, create kv cache, warmup model) took 137.43 seconds 2025-12-04T09:56:46.9175052Z (EngineCore_DP0 pid=60125) INFO 12-04 09:56:46 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:56:47.1022983Z (APIServer pid=60001) INFO 12-04 09:56:47 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 15658 2025-12-04T09:56:47.1217866Z (EngineCore_DP0 pid=60125) INFO 12-04 09:56:47 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:56:47.1433647Z (APIServer pid=60001) INFO 12-04 09:56:47 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:56:47.1734973Z (APIServer pid=60001) WARNING 12-04 09:56:47 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:56:47.1736609Z (APIServer pid=60001) INFO 12-04 09:56:47 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:56:47.2021025Z (APIServer pid=60001) INFO 12-04 09:56:47 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:56:47.2326279Z (APIServer pid=60001) INFO 12-04 09:56:47 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:56:47.2327805Z (APIServer pid=60001) INFO 12-04 09:56:47 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:60193 2025-12-04T09:56:47.2328761Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:38] Available routes are: 2025-12-04T09:56:47.2329818Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /openapi.json, Methods: HEAD, GET 2025-12-04T09:56:47.2330945Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /docs, Methods: HEAD, GET 2025-12-04T09:56:47.2331752Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: HEAD, GET 2025-12-04T09:56:47.2332605Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /redoc, Methods: HEAD, GET 2025-12-04T09:56:47.2333152Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:56:47.2333661Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:56:47.2334170Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:56:47.2334667Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:56:47.2335184Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:56:47.2335732Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:56:47.2336258Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:56:47.2336765Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:56:47.2337294Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:56:47.2337876Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:56:47.2338505Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:56:47.2339274Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:56:47.2339850Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:56:47.2340413Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:56:47.2340964Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:56:47.2341490Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:56:47.2342009Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:56:47.2342525Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:56:47.2343090Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:56:47.2343682Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:56:47.2344243Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:56:47.2352877Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:56:47.2353627Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:56:47.2354204Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:56:47.2354806Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:56:47.2355370Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:56:47.2355906Z (APIServer pid=60001) INFO 12-04 09:56:47 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:56:47.2487128Z (APIServer pid=60001) INFO: Started server process [60001] 2025-12-04T09:56:47.2487829Z (APIServer pid=60001) INFO: Waiting for application startup. 2025-12-04T09:56:47.4661293Z (APIServer pid=60001) INFO: Application startup complete. 2025-12-04T09:56:47.8170251Z (APIServer pid=60001) INFO: 127.0.0.1:45902 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:56:48.0602686Z (APIServer pid=60001) INFO: 127.0.0.1:38704 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:56:48.2240011Z (APIServer pid=60001) INFO: 127.0.0.1:38704 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:56:48.3420559Z (APIServer pid=60001) INFO: 127.0.0.1:38704 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:56:48.5329437Z (APIServer pid=60001) INFO: 127.0.0.1:38704 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:56:48.6578513Z (APIServer pid=60001) INFO: 127.0.0.1:38704 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:56:48.7755344Z (APIServer pid=60001) INFO: 127.0.0.1:38704 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:56:48.7834967Z (APIServer pid=60001) INFO: 127.0.0.1:38704 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:56:48.9047852Z (APIServer pid=60001) INFO 12-04 09:56:48 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:56:48.9051799Z (Worker_TP0 pid=60244) INFO 12-04 09:56:48 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:56:48.9053792Z (Worker_TP0 pid=60244) INFO 12-04 09:56:48 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:56:48.9057063Z (Worker_TP1 pid=60245) INFO 12-04 09:56:48 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:56:48.9058418Z (Worker_TP1 pid=60245) INFO 12-04 09:56:48 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:56:52.0259423Z (APIServer pid=60001) INFO: Shutting down 2025-12-04T09:56:52.1266549Z (APIServer pid=60001) INFO: Waiting for application shutdown. 2025-12-04T09:56:52.1268042Z (APIServer pid=60001) INFO: Application shutdown complete. 2025-12-04T09:56:52.4607772Z INFO 12-04 09:56:52 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:56:52.4608334Z WARNING 12-04 09:56:52 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:56:52.4608792Z INFO 12-04 09:56:52 [model.py:1714] Using max model len 2048 2025-12-04T09:56:52.4614618Z Launching RemoteOpenAIServer with: vllm serve RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8 --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --distributed-executor-backend mp --load-format dummy --port 48297 --seed 0 2025-12-04T09:56:55.3406169Z INFO 12-04 09:56:55 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:56:58.9860241Z (APIServer pid=64369) INFO 12-04 09:56:58 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:56:58.9884538Z (APIServer pid=64369) INFO 12-04 09:56:58 [utils.py:239] non-default args: {'model_tag': 'RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', 'port': 48297, 'model': 'RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'mp', 'tensor_parallel_size': 2, 'max_num_seqs': 8} 2025-12-04T09:56:59.1374123Z (APIServer pid=64369) INFO 12-04 09:56:59 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:56:59.1376086Z (APIServer pid=64369) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:56:59.1377504Z (APIServer pid=64369) WARNING 12-04 09:56:59 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:56:59.1378800Z (APIServer pid=64369) INFO 12-04 09:56:59 [model.py:1714] Using max model len 2048 2025-12-04T09:56:59.4654793Z (APIServer pid=64369) INFO 12-04 09:56:59 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:56:59.5026302Z (APIServer pid=64369) INFO 12-04 09:56:59 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:57:02.8545187Z INFO 12-04 09:57:02 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:57:06.5896883Z (EngineCore_DP0 pid=64492) INFO 12-04 09:57:06 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:57:06.6168058Z (EngineCore_DP0 pid=64492) INFO 12-04 09:57:06 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', speculative_config=None, tokenizer='RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=compressed-tensors, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 0, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': [], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:57:06.6173589Z (EngineCore_DP0 pid=64492) WARNING 12-04 09:57:06 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:57:06.6177429Z (EngineCore_DP0 pid=64492) INFO 12-04 09:57:06 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_bbd53822'), local_subscribe_addr='ipc:///tmp/f6b25f2e-1c1d-4482-b257-ee7ae4d72ea2', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:57:09.5207691Z INFO 12-04 09:57:09 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:57:09.5469091Z INFO 12-04 09:57:09 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:57:14.7532787Z INFO 12-04 09:57:14 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_a8488545'), local_subscribe_addr='ipc:///tmp/a0208b96-5e1d-438e-9691-30107cb8e89b', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:57:14.7929596Z INFO 12-04 09:57:14 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_1163c765'), local_subscribe_addr='ipc:///tmp/c8974dbd-4f5c-4c67-bc67-7684455abaa0', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:57:15.4221970Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:57:15.4223274Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:57:15.4264223Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:57:15.4265352Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:57:15.4309128Z INFO 12-04 09:57:15 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:57:15.4310048Z INFO 12-04 09:57:15 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:57:15.4311371Z INFO 12-04 09:57:15 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:57:15.4312720Z INFO 12-04 09:57:15 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:57:15.6033623Z WARNING 12-04 09:57:15 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:57:15.6034511Z WARNING 12-04 09:57:15 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:57:15.6055511Z INFO 12-04 09:57:15 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:57:15.6056200Z INFO 12-04 09:57:15 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:57:15.6057227Z WARNING 12-04 09:57:15 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:57:15.6058609Z WARNING 12-04 09:57:15 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:57:15.7229964Z INFO 12-04 09:57:15 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_b6242290'), local_subscribe_addr='ipc:///tmp/3a6c16fe-8c50-450e-88df-586e2baab8ff', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:57:15.7260593Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:57:15.7261196Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:57:15.7270869Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:57:15.7279284Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:57:15.8026577Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:57:15.8036241Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:57:15.8049394Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:57:15.8049887Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:57:15.8052392Z INFO 12-04 09:57:15 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:57:15.8053035Z INFO 12-04 09:57:15 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:57:15.8053475Z INFO 12-04 09:57:15 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:57:15.8053863Z INFO 12-04 09:57:15 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:57:15.8416702Z INFO 12-04 09:57:15 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:57:15.8417453Z INFO 12-04 09:57:15 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:57:16.0810825Z INFO 12-04 09:57:16 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:57:16.1155998Z INFO 12-04 09:57:16 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:57:16.1176703Z (Worker_TP0 pid=64611) INFO 12-04 09:57:16 [gpu_model_runner.py:2840] Starting to load model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8... 2025-12-04T09:57:16.1516413Z (Worker_TP1 pid=64612) INFO 12-04 09:57:16 [gpu_model_runner.py:2840] Starting to load model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8... 2025-12-04T09:57:16.3278071Z (Worker_TP0 pid=64611) INFO 12-04 09:57:16 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:57:16.3904074Z (Worker_TP1 pid=64612) INFO 12-04 09:57:16 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:57:16.4178464Z (Worker_TP0 pid=64611) INFO 12-04 09:57:16 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:57:16.4798805Z (Worker_TP1 pid=64612) INFO 12-04 09:57:16 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:57:17.2418559Z (Worker_TP0 pid=64611) INFO 12-04 09:57:17 [gpu_model_runner.py:2902] Model loading took 4.2624 GiB and 0.486463 seconds 2025-12-04T09:57:17.3436695Z (Worker_TP1 pid=64612) INFO 12-04 09:57:17 [gpu_model_runner.py:2902] Model loading took 4.2624 GiB and 0.487128 seconds 2025-12-04T09:57:20.1256087Z (Worker_TP1 pid=64612) INFO 12-04 09:57:20 [gpu_worker.py:314] Available KV cache memory: 15.32 GiB 2025-12-04T09:57:20.1723217Z (Worker_TP0 pid=64611) INFO 12-04 09:57:20 [gpu_worker.py:314] Available KV cache memory: 15.32 GiB 2025-12-04T09:57:20.3941564Z (EngineCore_DP0 pid=64492) INFO 12-04 09:57:20 [kv_cache_utils.py:1199] GPU KV cache size: 250,976 tokens 2025-12-04T09:57:20.3942530Z (EngineCore_DP0 pid=64492) INFO 12-04 09:57:20 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 122.55x 2025-12-04T09:57:20.3943770Z (EngineCore_DP0 pid=64492) INFO 12-04 09:57:20 [kv_cache_utils.py:1199] GPU KV cache size: 250,976 tokens 2025-12-04T09:57:20.3944602Z (EngineCore_DP0 pid=64492) INFO 12-04 09:57:20 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 122.55x 2025-12-04T09:57:20.6012436Z (EngineCore_DP0 pid=64492) INFO 12-04 09:57:20 [core.py:240] init engine (profile, create kv cache, warmup model) took 3.20 seconds 2025-12-04T09:57:21.0820522Z (EngineCore_DP0 pid=64492) INFO 12-04 09:57:21 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:57:21.2671524Z (APIServer pid=64369) INFO 12-04 09:57:21 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 15686 2025-12-04T09:57:21.2846897Z (EngineCore_DP0 pid=64492) INFO 12-04 09:57:21 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:57:21.3053944Z (APIServer pid=64369) INFO 12-04 09:57:21 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:57:21.4053700Z (APIServer pid=64369) WARNING 12-04 09:57:21 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:57:21.4055610Z (APIServer pid=64369) INFO 12-04 09:57:21 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:57:21.4345949Z (APIServer pid=64369) INFO 12-04 09:57:21 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:57:21.4623929Z (APIServer pid=64369) INFO 12-04 09:57:21 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:57:21.4624964Z (APIServer pid=64369) INFO 12-04 09:57:21 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:48297 2025-12-04T09:57:21.4625960Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:38] Available routes are: 2025-12-04T09:57:21.4626698Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD 2025-12-04T09:57:21.4627431Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /docs, Methods: GET, HEAD 2025-12-04T09:57:21.4628164Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD 2025-12-04T09:57:21.4628872Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /redoc, Methods: GET, HEAD 2025-12-04T09:57:21.4629526Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:57:21.4630160Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:57:21.4630797Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:57:21.4631417Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:57:21.4632073Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:57:21.4632731Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:57:21.4633384Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:57:21.4634015Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:57:21.4634658Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:57:21.4635329Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:57:21.4635957Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:57:21.4636558Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:57:21.4637122Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:57:21.4637671Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:57:21.4638201Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:57:21.4638718Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:57:21.4639364Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:57:21.4639886Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:57:21.4640442Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:57:21.4641101Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:57:21.4641641Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:57:21.4642160Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:57:21.4642680Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:57:21.4643214Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:57:21.4643787Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:57:21.4645986Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:57:21.4646531Z (APIServer pid=64369) INFO 12-04 09:57:21 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:57:21.4785285Z (APIServer pid=64369) INFO: Started server process [64369] 2025-12-04T09:57:21.4785922Z (APIServer pid=64369) INFO: Waiting for application startup. 2025-12-04T09:57:21.6979802Z (APIServer pid=64369) INFO: Application startup complete. 2025-12-04T09:57:22.0366339Z (APIServer pid=64369) INFO: 127.0.0.1:39140 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:57:22.0457029Z (APIServer pid=64369) INFO: 127.0.0.1:39154 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:57:22.3386537Z (APIServer pid=64369) INFO: 127.0.0.1:39154 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:57:22.4532483Z (APIServer pid=64369) INFO: 127.0.0.1:39154 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:57:22.6049182Z (APIServer pid=64369) INFO: 127.0.0.1:39154 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:57:22.7346390Z (APIServer pid=64369) INFO: 127.0.0.1:39154 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:57:22.8762518Z (APIServer pid=64369) INFO: 127.0.0.1:39154 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:57:22.8838057Z (APIServer pid=64369) INFO: 127.0.0.1:39154 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:57:23.0088762Z (APIServer pid=64369) INFO 12-04 09:57:23 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:57:23.0093206Z (Worker_TP0 pid=64611) INFO 12-04 09:57:23 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:57:23.0094928Z (Worker_TP0 pid=64611) INFO 12-04 09:57:23 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:57:23.0099165Z (Worker_TP1 pid=64612) INFO 12-04 09:57:23 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:57:25.0275972Z (APIServer pid=64369) INFO: Shutting down 2025-12-04T09:57:25.1281121Z (APIServer pid=64369) INFO: Waiting for application shutdown. 2025-12-04T09:57:25.1283025Z (APIServer pid=64369) INFO: Application shutdown complete. 2025-12-04T09:57:25.6899998Z PASSED 2025-12-04T09:57:25.7014868Z distributed/test_sequence_parallel.py::test_tp_sp_generation[RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8-parallel_setup17-ray-auto-test_options17] Fork a new process to run a test 64823 2025-12-04T09:57:25.7029949Z Fork a new process to run a test 0 2025-12-04T09:57:26.3986191Z INFO 12-04 09:57:26 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:57:26.3987088Z `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:57:26.3988344Z WARNING 12-04 09:57:26 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:57:26.3989184Z INFO 12-04 09:57:26 [model.py:1714] Using max model len 2048 2025-12-04T09:57:26.4998189Z Launching RemoteOpenAIServer with: vllm serve RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8 --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --pipeline-parallel-size 1 --distributed-executor-backend ray --compilation_config {"level": 3, "custom_ops": ["+rms_norm"], "compile_sizes": [4, 8], "pass_config": {"enable_sequence_parallelism": true, "enable_fusion": false, "enable_noop": true}} --load-format dummy --port 49037 --seed 0 2025-12-04T09:57:29.3819669Z INFO 12-04 09:57:29 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:57:33.0233316Z (APIServer pid=64872) INFO 12-04 09:57:33 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:57:33.0260027Z (APIServer pid=64872) INFO 12-04 09:57:33 [utils.py:239] non-default args: {'model_tag': 'RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', 'port': 49037, 'model': 'RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'ray', 'tensor_parallel_size': 2, 'max_num_seqs': 8, 'compilation_config': {'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm'], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [4, 8], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': None, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': None, 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': None, 'local_cache_dir': None}} 2025-12-04T09:57:33.2001227Z (APIServer pid=64872) INFO 12-04 09:57:33 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:57:33.2002566Z (APIServer pid=64872) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:57:33.2003901Z (APIServer pid=64872) WARNING 12-04 09:57:33 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:57:33.2004883Z (APIServer pid=64872) INFO 12-04 09:57:33 [model.py:1714] Using max model len 2048 2025-12-04T09:57:33.5304284Z (APIServer pid=64872) INFO 12-04 09:57:33 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:57:33.5668314Z (APIServer pid=64872) INFO 12-04 09:57:33 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:57:37.0007741Z INFO 12-04 09:57:37 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:57:40.9420052Z (EngineCore_DP0 pid=64995) INFO 12-04 09:57:40 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:57:40.9690687Z (EngineCore_DP0 pid=64995) INFO 12-04 09:57:40 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', speculative_config=None, tokenizer='RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=compressed-tensors, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm', '+rms_norm'], 'splitting_ops': ['vllm.unified_attention', 'vllm.unified_attention_with_output', 'vllm.unified_mla_attention', 'vllm.unified_mla_attention_with_output', 'vllm.mamba_mixer2', 'vllm.mamba_mixer', 'vllm.short_conv', 'vllm.linear_attention', 'vllm.plamo2_mamba_mixer', 'vllm.gdn_attention', 'vllm.sparse_attn_indexer'], 'use_inductor': True, 'compile_sizes': [8, 4], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:57:42.8867381Z (EngineCore_DP0 pid=64995) 2025-12-04 09:57:42,885 INFO worker.py:1918 -- Started a local Ray instance. View the dashboard at http://127.0.0.1:8265  2025-12-04T09:57:43.7572679Z (EngineCore_DP0 pid=64995) INFO 12-04 09:57:43 [ray_utils.py:373] No current placement group found. Creating a new placement group. 2025-12-04T09:57:43.9353238Z (EngineCore_DP0 pid=64995) INFO 12-04 09:57:43 [ray_distributed_executor.py:179] use_ray_spmd_worker: True 2025-12-04T09:57:46.8325579Z (EngineCore_DP0 pid=64995) (pid=65888) INFO 12-04 09:57:46 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:57:49.4571911Z (EngineCore_DP0 pid=64995) INFO 12-04 09:57:49 [ray_env.py:67] RAY_NON_CARRY_OVER_ENV_VARS from config: set() 2025-12-04T09:57:49.4573510Z (EngineCore_DP0 pid=64995) INFO 12-04 09:57:49 [ray_env.py:70] Copying the following environment variables to workers: ['VLLM_USE_V1', 'HF_TOKEN', 'MAX_JOBS', 'VLLM_USE_RAY_SPMD_WORKER', 'LD_LIBRARY_PATH', 'VLLM_USE_RAY_COMPILED_DAG', 'HUGGING_FACE_HUB_TOKEN', 'VLLM_WORKER_MULTIPROC_METHOD'] 2025-12-04T09:57:49.4574976Z (EngineCore_DP0 pid=64995) INFO 12-04 09:57:49 [ray_env.py:75] If certain env vars should NOT be copied, add them to /var/lib/jenkins/.config/vllm/ray_non_carry_over_env_vars.json file 2025-12-04T09:57:51.8339964Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) WARNING 12-04 09:57:51 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. 2025-12-04T09:57:51.8341638Z (EngineCore_DP0 pid=64995) (pid=65887) INFO 12-04 09:57:46 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:57:52.2457400Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:57:52.2458783Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:57:52.2459864Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:57:52 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:57:52.2460846Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:57:52 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:57:52.4533312Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) WARNING 12-04 09:57:52 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:57:52.4535200Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:57:52 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:57:52.4537054Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) WARNING 12-04 09:57:52 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:57:52.4538940Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:57:52 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_815009cb'), local_subscribe_addr='ipc:///tmp/e8b97bac-4ae9-4f34-8820-19fef42521d0', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:57:52.5578677Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:57:52 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:57:52.8667469Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:57:52 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:57:52.8669098Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:57:52 [gpu_model_runner.py:2840] Starting to load model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8... 2025-12-04T09:57:53.1749082Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:57:53 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:57:53.2791897Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:57:53 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:57:54.1992701Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) INFO 12-04 09:57:54 [gpu_model_runner.py:2902] Model loading took 4.2624 GiB and 0.542443 seconds 2025-12-04T09:58:01.7388710Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) INFO 12-04 09:58:01 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/100687e5a9/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:58:01.7390148Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) INFO 12-04 09:58:01 [backends.py:608] Dynamo bytecode transform time: 7.23 s 2025-12-04T09:58:01.7391405Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) WARNING 12-04 09:57:51 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. 2025-12-04T09:58:01.7393976Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 [repeated 10x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.) 2025-12-04T09:58:01.7395902Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) INFO 12-04 09:57:52 [__init__.py:1146] Found nccl from library libnccl.so.2 [repeated 3x across cluster] 2025-12-04T09:58:01.7396873Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) INFO 12-04 09:57:52 [pynccl.py:109] vLLM is using nccl==2.27.5 [repeated 3x across cluster] 2025-12-04T09:58:01.7397911Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) WARNING 12-04 09:57:52 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:58:01.7398923Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) INFO 12-04 09:57:52 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:58:01.7400326Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) WARNING 12-04 09:57:52 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:58:01.7401776Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) INFO 12-04 09:57:52 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:58:01.7402722Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) INFO 12-04 09:57:52 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:58:01.7403830Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) INFO 12-04 09:57:52 [gpu_model_runner.py:2840] Starting to load model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8... 2025-12-04T09:58:01.7404744Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) INFO 12-04 09:57:53 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:58:01.7405529Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) INFO 12-04 09:57:53 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:58:01.7406363Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:57:54 [gpu_model_runner.py:2902] Model loading took 4.2624 GiB and 0.537752 seconds 2025-12-04T09:58:04.4956646Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) INFO 12-04 09:58:04 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 2.189 s 2025-12-04T09:58:06.7442874Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:58:06 [gpu_worker.py:314] Available KV cache memory: 15.34 GiB 2025-12-04T09:58:06.7444352Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:58:01 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/100687e5a9/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:58:06.7445691Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:58:01 [backends.py:608] Dynamo bytecode transform time: 7.36 s 2025-12-04T09:58:07.0737767Z (EngineCore_DP0 pid=64995) INFO 12-04 09:58:07 [kv_cache_utils.py:1199] GPU KV cache size: 251,360 tokens 2025-12-04T09:58:07.0738961Z (EngineCore_DP0 pid=64995) INFO 12-04 09:58:07 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 122.73x 2025-12-04T09:58:07.0740095Z (EngineCore_DP0 pid=64995) INFO 12-04 09:58:07 [kv_cache_utils.py:1199] GPU KV cache size: 251,360 tokens 2025-12-04T09:58:07.0740942Z (EngineCore_DP0 pid=64995) INFO 12-04 09:58:07 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 122.73x 2025-12-04T09:58:07.1564429Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:58:07 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T09:58:20.8977479Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:58:20 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 13.730 s 2025-12-04T09:58:20.8978854Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:58:04 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 2.201 s 2025-12-04T09:58:20.8980059Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) INFO 12-04 09:58:06 [gpu_worker.py:314] Available KV cache memory: 15.34 GiB 2025-12-04T09:58:20.8981199Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:58:20 [gpu_worker.py:351] Compile and warming up model for size 4 [repeated 2x across cluster] 2025-12-04T09:58:46.7678692Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) INFO 12-04 09:58:46 [monitor.py:33] torch.compile takes 7.23 s in total 2025-12-04T09:58:46.7680209Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) INFO 12-04 09:58:46 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 25.868 s [repeated 2x across cluster] 2025-12-04T09:58:46.7681487Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65887) INFO 12-04 09:58:20 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T09:58:46.9308803Z (EngineCore_DP0 pid=64995) INFO 12-04 09:58:46 [core.py:240] init engine (profile, create kv cache, warmup model) took 52.72 seconds 2025-12-04T09:58:47.4207009Z (EngineCore_DP0 pid=64995) INFO 12-04 09:58:47 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:58:47.5270251Z (APIServer pid=64872) INFO 12-04 09:58:47 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 15710 2025-12-04T09:58:47.6928996Z (EngineCore_DP0 pid=64995) INFO 12-04 09:58:47 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:58:47.7181832Z (APIServer pid=64872) INFO 12-04 09:58:47 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:58:47.7479888Z (APIServer pid=64872) WARNING 12-04 09:58:47 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:58:47.7481578Z (APIServer pid=64872) INFO 12-04 09:58:47 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:58:47.7733802Z (APIServer pid=64872) INFO 12-04 09:58:47 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:58:47.8053008Z (APIServer pid=64872) INFO 12-04 09:58:47 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:58:47.8054405Z (APIServer pid=64872) INFO 12-04 09:58:47 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:49037 2025-12-04T09:58:47.8055338Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:38] Available routes are: 2025-12-04T09:58:47.8056279Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /openapi.json, Methods: HEAD, GET 2025-12-04T09:58:47.8057528Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /docs, Methods: HEAD, GET 2025-12-04T09:58:47.8058432Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: HEAD, GET 2025-12-04T09:58:47.8059071Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /redoc, Methods: HEAD, GET 2025-12-04T09:58:47.8059622Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:58:47.8060134Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:58:47.8060631Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:58:47.8061126Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:58:47.8061641Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:58:47.8062160Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:58:47.8062676Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:58:47.8063199Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:58:47.8063849Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:58:47.8064425Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:58:47.8065059Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:58:47.8065661Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:58:47.8066234Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:58:47.8066938Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:58:47.8067487Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:58:47.8068013Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:58:47.8068525Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:58:47.8069027Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:58:47.8069588Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:58:47.8070180Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:58:47.8070726Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:58:47.8071240Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:58:47.8071759Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:58:47.8072300Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:58:47.8072869Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:58:47.8073423Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:58:47.8073943Z (APIServer pid=64872) INFO 12-04 09:58:47 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:58:47.8212924Z (APIServer pid=64872) INFO: Started server process [64872] 2025-12-04T09:58:47.8214045Z (APIServer pid=64872) INFO: Waiting for application startup. 2025-12-04T09:58:48.0512057Z (APIServer pid=64872) INFO: Application startup complete. 2025-12-04T09:58:48.2002012Z (APIServer pid=64872) INFO: 127.0.0.1:41470 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:58:48.4423297Z (APIServer pid=64872) INFO: 127.0.0.1:41476 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:58:48.4718855Z (EngineCore_DP0 pid=64995) INFO 12-04 09:58:48 [ray_distributed_executor.py:569] RAY_CGRAPH_get_timeout is set to 300 2025-12-04T09:58:48.4719993Z (EngineCore_DP0 pid=64995) INFO 12-04 09:58:48 [ray_distributed_executor.py:573] VLLM_USE_RAY_COMPILED_DAG_CHANNEL_TYPE = auto 2025-12-04T09:58:48.4720941Z (EngineCore_DP0 pid=64995) INFO 12-04 09:58:48 [ray_distributed_executor.py:577] VLLM_USE_RAY_COMPILED_DAG_OVERLAP_COMM = False 2025-12-04T09:58:48.4727223Z (EngineCore_DP0 pid=64995) INFO 12-04 09:58:48 [ray_distributed_executor.py:653] Using RayPPCommunicator (which wraps vLLM _PP GroupCoordinator) for Ray Compiled Graph communication. 2025-12-04T09:58:48.7053654Z (APIServer pid=64872) INFO: 127.0.0.1:41476 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:58:48.8251785Z (APIServer pid=64872) INFO: 127.0.0.1:41476 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:58:49.0183382Z (APIServer pid=64872) INFO: 127.0.0.1:41476 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:58:49.1457642Z (APIServer pid=64872) INFO: 127.0.0.1:41476 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:58:49.2646177Z (APIServer pid=64872) INFO: 127.0.0.1:41476 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:58:49.2729467Z (APIServer pid=64872) INFO: 127.0.0.1:41476 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:58:49.4184769Z (APIServer pid=64872) INFO 12-04 09:58:49 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:58:49.4185844Z *** SIGTERM received at time=1764842329 on cpu 6 *** 2025-12-04T09:58:49.4235991Z PC: @ 0x7f53c26cb117 (unknown) (unknown) 2025-12-04T09:58:49.4238629Z @ 0x7f53c267c520 (unknown) (unknown) 2025-12-04T09:58:49.4239217Z [2025-12-04 09:58:49,423 E 64995 64995] logging.cc:501: *** SIGTERM received at time=1764842329 on cpu 6 *** 2025-12-04T09:58:49.4239825Z [2025-12-04 09:58:49,423 E 64995 64995] logging.cc:501: PC: @ 0x7f53c26cb117 (unknown) (unknown) 2025-12-04T09:58:49.4241267Z [2025-12-04 09:58:49,423 E 64995 64995] logging.cc:501: @ 0x7f53c267c520 (unknown) (unknown) 2025-12-04T09:58:49.4243301Z (EngineCore_DP0 pid=64995) INFO 12-04 09:58:49 [ray_distributed_executor.py:127] Shutting down Ray distributed executor. If you see error log from logging.cc regarding SIGTERM received, please ignore because this is the expected termination process in Ray. 2025-12-04T09:58:49.4244613Z (EngineCore_DP0 pid=64995) 2025-12-04 09:58:49,424 INFO compiled_dag_node.py:2171 -- Tearing down compiled DAG 2025-12-04T09:58:49.4245701Z (EngineCore_DP0 pid=64995) 2025-12-04 09:58:49,424 INFO compiled_dag_node.py:2176 -- Cancelling compiled worker on actor: Actor(RayWorkerWrapper, 18942352e9b090a802fb831d01000000) 2025-12-04T09:58:49.4247119Z (EngineCore_DP0 pid=64995) 2025-12-04 09:58:49,424 INFO compiled_dag_node.py:2176 -- Cancelling compiled worker on actor: Actor(RayWorkerWrapper, 4c72e4928971f85a4776335701000000) 2025-12-04T09:58:49.4285186Z (EngineCore_DP0 pid=64995) 2025-12-04 09:58:49,428 INFO compiled_dag_node.py:2198 -- Waiting for worker tasks to exit 2025-12-04T09:58:49.4286466Z (EngineCore_DP0 pid=64995) 2025-12-04 09:58:49,428 INFO compiled_dag_node.py:2201 -- Teardown complete 2025-12-04T09:58:49.9314176Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:58:46 [monitor.py:33] torch.compile takes 7.36 s in total 2025-12-04T09:58:49.9315243Z (EngineCore_DP0 pid=64995) (RayWorkerWrapper pid=65888) INFO 12-04 09:58:46 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 26.076 s 2025-12-04T09:58:51.6211204Z (APIServer pid=64872) INFO: Shutting down 2025-12-04T09:58:51.7216917Z (APIServer pid=64872) INFO: Waiting for application shutdown. 2025-12-04T09:58:51.7217937Z (APIServer pid=64872) INFO: Application shutdown complete. 2025-12-04T09:58:52.0952003Z INFO 12-04 09:58:52 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:58:52.0953657Z WARNING 12-04 09:58:52 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:58:52.0954790Z INFO 12-04 09:58:52 [model.py:1714] Using max model len 2048 2025-12-04T09:58:52.0959544Z Launching RemoteOpenAIServer with: vllm serve RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8 --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --distributed-executor-backend mp --load-format dummy --port 47629 --seed 0 2025-12-04T09:58:54.9879513Z INFO 12-04 09:58:54 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:58:58.6807175Z (APIServer pid=70060) INFO 12-04 09:58:58 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:58:58.6831242Z (APIServer pid=70060) INFO 12-04 09:58:58 [utils.py:239] non-default args: {'model_tag': 'RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', 'port': 47629, 'model': 'RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'mp', 'tensor_parallel_size': 2, 'max_num_seqs': 8} 2025-12-04T09:58:58.8296801Z (APIServer pid=70060) INFO 12-04 09:58:58 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:58:58.8298993Z (APIServer pid=70060) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:58:58.8300770Z (APIServer pid=70060) WARNING 12-04 09:58:58 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:58:58.8301923Z (APIServer pid=70060) INFO 12-04 09:58:58 [model.py:1714] Using max model len 2048 2025-12-04T09:58:59.1591327Z (APIServer pid=70060) INFO 12-04 09:58:59 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:58:59.1964620Z (APIServer pid=70060) INFO 12-04 09:58:59 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:59:02.6118688Z INFO 12-04 09:59:02 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:59:06.4070158Z (EngineCore_DP0 pid=70183) INFO 12-04 09:59:06 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:59:06.4341581Z (EngineCore_DP0 pid=70183) INFO 12-04 09:59:06 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', speculative_config=None, tokenizer='RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=compressed-tensors, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 0, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': [], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:59:06.4347104Z (EngineCore_DP0 pid=70183) WARNING 12-04 09:59:06 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:59:06.4350417Z (EngineCore_DP0 pid=70183) INFO 12-04 09:59:06 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_0971a1f1'), local_subscribe_addr='ipc:///tmp/b1a980d2-e457-4139-bc72-578387a434fe', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:59:09.3148138Z INFO 12-04 09:59:09 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:59:09.3634262Z INFO 12-04 09:59:09 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:59:14.5135796Z INFO 12-04 09:59:14 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_9646e6d1'), local_subscribe_addr='ipc:///tmp/2005ade4-31a2-44a6-b393-d39b9cc33964', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:59:14.5530653Z INFO 12-04 09:59:14 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_50e2ee8a'), local_subscribe_addr='ipc:///tmp/5275e54c-602f-4ab4-be58-f7312597c433', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:59:14.7257532Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:59:14.7258841Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:59:14.7300703Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:59:14.7301324Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:59:14.7344898Z INFO 12-04 09:59:14 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:59:14.7346528Z INFO 12-04 09:59:14 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:59:14.7347322Z INFO 12-04 09:59:14 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:59:14.7349550Z INFO 12-04 09:59:14 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:59:14.9043694Z WARNING 12-04 09:59:14 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:59:14.9045312Z WARNING 12-04 09:59:14 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:59:14.9066032Z INFO 12-04 09:59:14 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:59:14.9067318Z INFO 12-04 09:59:14 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:59:14.9069251Z WARNING 12-04 09:59:14 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:59:14.9072409Z WARNING 12-04 09:59:14 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:59:14.9830650Z INFO 12-04 09:59:14 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_24fcc953'), local_subscribe_addr='ipc:///tmp/060d33cd-6403-4dfe-a9ea-4ffb50da74d5', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:59:14.9861169Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:59:14.9862316Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:59:14.9869609Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:59:14.9877456Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:59:15.0425971Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:59:15.0438312Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:59:15.0448320Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:59:15.0449124Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:59:15.0450507Z INFO 12-04 09:59:15 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:59:15.0450946Z INFO 12-04 09:59:15 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:59:15.0451347Z INFO 12-04 09:59:15 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:59:15.0452428Z INFO 12-04 09:59:15 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:59:15.0787010Z INFO 12-04 09:59:15 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:59:15.0787852Z INFO 12-04 09:59:15 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:59:15.3100755Z INFO 12-04 09:59:15 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:59:15.3434366Z INFO 12-04 09:59:15 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:59:15.3467226Z (Worker_TP1 pid=70303) INFO 12-04 09:59:15 [gpu_model_runner.py:2840] Starting to load model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8... 2025-12-04T09:59:15.3795830Z (Worker_TP0 pid=70302) INFO 12-04 09:59:15 [gpu_model_runner.py:2840] Starting to load model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8... 2025-12-04T09:59:15.5570719Z (Worker_TP1 pid=70303) INFO 12-04 09:59:15 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:59:15.6099209Z (Worker_TP0 pid=70302) INFO 12-04 09:59:15 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:59:15.6470072Z (Worker_TP1 pid=70303) INFO 12-04 09:59:15 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:59:15.6996303Z (Worker_TP0 pid=70302) INFO 12-04 09:59:15 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:59:16.4851800Z (Worker_TP1 pid=70303) INFO 12-04 09:59:16 [gpu_model_runner.py:2902] Model loading took 4.2624 GiB and 0.489908 seconds 2025-12-04T09:59:16.5628286Z (Worker_TP0 pid=70302) INFO 12-04 09:59:16 [gpu_model_runner.py:2902] Model loading took 4.2624 GiB and 0.486177 seconds 2025-12-04T09:59:19.2921980Z (Worker_TP1 pid=70303) INFO 12-04 09:59:19 [gpu_worker.py:314] Available KV cache memory: 15.32 GiB 2025-12-04T09:59:19.4682657Z (Worker_TP0 pid=70302) INFO 12-04 09:59:19 [gpu_worker.py:314] Available KV cache memory: 15.32 GiB 2025-12-04T09:59:19.7276036Z (EngineCore_DP0 pid=70183) INFO 12-04 09:59:19 [kv_cache_utils.py:1199] GPU KV cache size: 250,976 tokens 2025-12-04T09:59:19.7277000Z (EngineCore_DP0 pid=70183) INFO 12-04 09:59:19 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 122.55x 2025-12-04T09:59:19.7277791Z (EngineCore_DP0 pid=70183) INFO 12-04 09:59:19 [kv_cache_utils.py:1199] GPU KV cache size: 250,976 tokens 2025-12-04T09:59:19.7278492Z (EngineCore_DP0 pid=70183) INFO 12-04 09:59:19 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 122.55x 2025-12-04T09:59:19.9339664Z (EngineCore_DP0 pid=70183) INFO 12-04 09:59:19 [core.py:240] init engine (profile, create kv cache, warmup model) took 3.33 seconds 2025-12-04T09:59:20.4124879Z (EngineCore_DP0 pid=70183) INFO 12-04 09:59:20 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:59:20.5971993Z (APIServer pid=70060) INFO 12-04 09:59:20 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 15686 2025-12-04T09:59:20.6172551Z (EngineCore_DP0 pid=70183) INFO 12-04 09:59:20 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T09:59:20.6381981Z (APIServer pid=70060) INFO 12-04 09:59:20 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T09:59:20.6654058Z (APIServer pid=70060) WARNING 12-04 09:59:20 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T09:59:20.6656433Z (APIServer pid=70060) INFO 12-04 09:59:20 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:59:20.6931189Z (APIServer pid=70060) INFO 12-04 09:59:20 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:59:20.7194196Z (APIServer pid=70060) INFO 12-04 09:59:20 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T09:59:20.7195283Z (APIServer pid=70060) INFO 12-04 09:59:20 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:47629 2025-12-04T09:59:20.7196022Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:38] Available routes are: 2025-12-04T09:59:20.7196694Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD 2025-12-04T09:59:20.7198094Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /docs, Methods: GET, HEAD 2025-12-04T09:59:20.7198793Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD 2025-12-04T09:59:20.7199520Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /redoc, Methods: GET, HEAD 2025-12-04T09:59:20.7200039Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T09:59:20.7200564Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T09:59:20.7201064Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T09:59:20.7201562Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T09:59:20.7202067Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T09:59:20.7202614Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T09:59:20.7203136Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T09:59:20.7203778Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T09:59:20.7204312Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T09:59:20.7204897Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T09:59:20.7205525Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T09:59:20.7206136Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T09:59:20.7206705Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T09:59:20.7207252Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T09:59:20.7207800Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T09:59:20.7208336Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T09:59:20.7208867Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T09:59:20.7209384Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T09:59:20.7210045Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T09:59:20.7210630Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T09:59:20.7211172Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T09:59:20.7211689Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T09:59:20.7212201Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T09:59:20.7212835Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T09:59:20.7213594Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T09:59:20.7214155Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T09:59:20.7214674Z (APIServer pid=70060) INFO 12-04 09:59:20 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T09:59:20.7362962Z (APIServer pid=70060) INFO: Started server process [70060] 2025-12-04T09:59:20.7363583Z (APIServer pid=70060) INFO: Waiting for application startup. 2025-12-04T09:59:20.9582974Z (APIServer pid=70060) INFO: Application startup complete. 2025-12-04T09:59:21.1725121Z (APIServer pid=70060) INFO: 127.0.0.1:47740 - "GET /health HTTP/1.1" 200 OK 2025-12-04T09:59:21.1813827Z (APIServer pid=70060) INFO: 127.0.0.1:47744 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T09:59:21.4747660Z (APIServer pid=70060) INFO: 127.0.0.1:47744 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:59:21.5910561Z (APIServer pid=70060) INFO: 127.0.0.1:47744 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:59:21.7447881Z (APIServer pid=70060) INFO: 127.0.0.1:47744 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:59:21.8770534Z (APIServer pid=70060) INFO: 127.0.0.1:47744 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:59:22.0205007Z (APIServer pid=70060) INFO: 127.0.0.1:47744 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:59:22.0281180Z (APIServer pid=70060) INFO: 127.0.0.1:47744 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T09:59:22.1557418Z (APIServer pid=70060) INFO 12-04 09:59:22 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T09:59:22.1560568Z (Worker_TP0 pid=70302) INFO 12-04 09:59:22 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:59:22.1562670Z (Worker_TP0 pid=70302) INFO 12-04 09:59:22 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:59:22.1563738Z (Worker_TP1 pid=70303) INFO 12-04 09:59:22 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T09:59:22.1565863Z (Worker_TP1 pid=70303) INFO 12-04 09:59:22 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T09:59:24.2743420Z (APIServer pid=70060) INFO: Shutting down 2025-12-04T09:59:24.3748726Z (APIServer pid=70060) INFO: Waiting for application shutdown. 2025-12-04T09:59:24.3752068Z (APIServer pid=70060) INFO: Application shutdown complete. 2025-12-04T09:59:24.9942757Z PASSED 2025-12-04T09:59:25.0087390Z distributed/test_sequence_parallel.py::test_tp_sp_generation[RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8-parallel_setup18-mp-auto-test_options18] Fork a new process to run a test 70514 2025-12-04T09:59:25.0102525Z Fork a new process to run a test 0 2025-12-04T09:59:25.6272883Z INFO 12-04 09:59:25 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:59:25.6273749Z `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:59:25.6274537Z WARNING 12-04 09:59:25 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:59:25.6275382Z INFO 12-04 09:59:25 [model.py:1714] Using max model len 2048 2025-12-04T09:59:25.7285353Z Launching RemoteOpenAIServer with: vllm serve RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8 --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --pipeline-parallel-size 1 --distributed-executor-backend mp --compilation_config {"level": 3, "custom_ops": ["+rms_norm"], "compile_sizes": [4, 8], "pass_config": {"enable_sequence_parallelism": true, "enable_fusion": true, "enable_noop": true}} --load-format dummy --port 51839 --seed 0 2025-12-04T09:59:28.6445787Z INFO 12-04 09:59:28 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:59:32.3585009Z (APIServer pid=70563) INFO 12-04 09:59:32 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T09:59:32.3612134Z (APIServer pid=70563) INFO 12-04 09:59:32 [utils.py:239] non-default args: {'model_tag': 'RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', 'port': 51839, 'model': 'RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'mp', 'tensor_parallel_size': 2, 'max_num_seqs': 8, 'compilation_config': {'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm'], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [4, 8], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': None, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': None, 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_fusion': True, 'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': None, 'local_cache_dir': None}} 2025-12-04T09:59:32.5031990Z (APIServer pid=70563) INFO 12-04 09:59:32 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T09:59:32.5032739Z (APIServer pid=70563) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T09:59:32.5033652Z (APIServer pid=70563) WARNING 12-04 09:59:32 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T09:59:32.5035965Z (APIServer pid=70563) INFO 12-04 09:59:32 [model.py:1714] Using max model len 2048 2025-12-04T09:59:32.8434285Z (APIServer pid=70563) INFO 12-04 09:59:32 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T09:59:32.8805745Z (APIServer pid=70563) INFO 12-04 09:59:32 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T09:59:36.3211914Z INFO 12-04 09:59:36 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:59:40.1063715Z (EngineCore_DP0 pid=70686) INFO 12-04 09:59:40 [core.py:727] Waiting for init message from front-end. 2025-12-04T09:59:40.1329453Z (EngineCore_DP0 pid=70686) INFO 12-04 09:59:40 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', speculative_config=None, tokenizer='RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=compressed-tensors, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm', '+rms_norm'], 'splitting_ops': ['vllm.unified_attention', 'vllm.unified_attention_with_output', 'vllm.unified_mla_attention', 'vllm.unified_mla_attention_with_output', 'vllm.mamba_mixer2', 'vllm.mamba_mixer', 'vllm.short_conv', 'vllm.linear_attention', 'vllm.plamo2_mamba_mixer', 'vllm.gdn_attention', 'vllm.sparse_attn_indexer'], 'use_inductor': True, 'compile_sizes': [8, 4], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_fusion': True, 'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T09:59:40.1336291Z (EngineCore_DP0 pid=70686) WARNING 12-04 09:59:40 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T09:59:40.1338417Z (EngineCore_DP0 pid=70686) INFO 12-04 09:59:40 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_8fb9559d'), local_subscribe_addr='ipc:///tmp/ac0a2c63-2698-41e9-95b5-4fe9032f7e4e', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:59:43.0101265Z INFO 12-04 09:59:43 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:59:43.0747059Z INFO 12-04 09:59:43 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T09:59:48.1734624Z INFO 12-04 09:59:48 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_32b7fd51'), local_subscribe_addr='ipc:///tmp/3d52a0ab-5c11-436b-9965-d17fc569c8cd', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:59:48.1738301Z INFO 12-04 09:59:48 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_5f7bcd09'), local_subscribe_addr='ipc:///tmp/f6067336-1ef1-4438-a718-018b70ffb672', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:59:48.3733080Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:59:48.3734296Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:59:48.3775134Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:59:48.3775747Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:59:48.3819882Z INFO 12-04 09:59:48 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:59:48.3821501Z INFO 12-04 09:59:48 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:59:48.3822211Z INFO 12-04 09:59:48 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:59:48.3823180Z INFO 12-04 09:59:48 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:59:48.5505776Z WARNING 12-04 09:59:48 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:59:48.5506563Z WARNING 12-04 09:59:48 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T09:59:48.5526401Z INFO 12-04 09:59:48 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:59:48.5527325Z INFO 12-04 09:59:48 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T09:59:48.5528655Z WARNING 12-04 09:59:48 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:59:48.5530231Z WARNING 12-04 09:59:48 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T09:59:48.6328098Z INFO 12-04 09:59:48 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_77fa99ef'), local_subscribe_addr='ipc:///tmp/36da6b45-7489-45e8-83e2-b9f5f52e9727', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T09:59:48.6352455Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:59:48.6353353Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:59:48.6361371Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:59:48.6369482Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:59:48.6725612Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:59:48.6733442Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T09:59:48.6744286Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:59:48.6744900Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T09:59:48.6746379Z INFO 12-04 09:59:48 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:59:48.6746830Z INFO 12-04 09:59:48 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:59:48.6747275Z INFO 12-04 09:59:48 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T09:59:48.6748025Z INFO 12-04 09:59:48 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T09:59:48.7071056Z INFO 12-04 09:59:48 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T09:59:48.7072062Z INFO 12-04 09:59:48 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T09:59:48.9501793Z INFO 12-04 09:59:48 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:59:48.9873616Z (Worker_TP0 pid=70805) INFO 12-04 09:59:48 [gpu_model_runner.py:2840] Starting to load model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8... 2025-12-04T09:59:48.9903791Z INFO 12-04 09:59:48 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T09:59:49.0270373Z (Worker_TP1 pid=70806) INFO 12-04 09:59:49 [gpu_model_runner.py:2840] Starting to load model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8... 2025-12-04T09:59:49.1969600Z (Worker_TP0 pid=70805) INFO 12-04 09:59:49 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:59:49.2649734Z (Worker_TP1 pid=70806) INFO 12-04 09:59:49 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T09:59:49.2863303Z (Worker_TP0 pid=70805) INFO 12-04 09:59:49 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:59:49.3544993Z (Worker_TP1 pid=70806) INFO 12-04 09:59:49 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T09:59:50.1639566Z (Worker_TP0 pid=70805) INFO 12-04 09:59:50 [gpu_model_runner.py:2902] Model loading took 4.2624 GiB and 0.537799 seconds 2025-12-04T09:59:50.2651200Z (Worker_TP1 pid=70806) INFO 12-04 09:59:50 [gpu_model_runner.py:2902] Model loading took 4.2624 GiB and 0.531081 seconds 2025-12-04T09:59:58.0713650Z (Worker_TP1 pid=70806) INFO 12-04 09:59:58 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/bfc1872831/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T09:59:58.0717123Z (Worker_TP1 pid=70806) INFO 12-04 09:59:58 [backends.py:608] Dynamo bytecode transform time: 7.52 s 2025-12-04T09:59:58.2665082Z (Worker_TP0 pid=70805) INFO 12-04 09:59:58 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/bfc1872831/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T09:59:58.2669967Z (Worker_TP0 pid=70805) INFO 12-04 09:59:58 [backends.py:608] Dynamo bytecode transform time: 7.73 s 2025-12-04T10:00:00.8946772Z (Worker_TP1 pid=70806) INFO 12-04 10:00:00 [backends.py:214] Cache the graph for dynamic shape for later use 2025-12-04T10:00:01.5178449Z (Worker_TP0 pid=70805) INFO 12-04 10:00:01 [backends.py:214] Cache the graph for dynamic shape for later use 2025-12-04T10:00:27.2151416Z (Worker_TP1 pid=70806) INFO 12-04 10:00:27 [backends.py:241] Compiling a graph for dynamic shape takes 28.54 s 2025-12-04T10:00:28.3340560Z (Worker_TP0 pid=70805) INFO 12-04 10:00:28 [backends.py:241] Compiling a graph for dynamic shape takes 29.44 s 2025-12-04T10:00:49.6232926Z (Worker_TP0 pid=70805) INFO 12-04 10:00:49 [gpu_worker.py:314] Available KV cache memory: 15.29 GiB 2025-12-04T10:00:49.7190467Z (Worker_TP1 pid=70806) INFO 12-04 10:00:49 [gpu_worker.py:314] Available KV cache memory: 15.29 GiB 2025-12-04T10:00:50.1168813Z (EngineCore_DP0 pid=70686) INFO 12-04 10:00:50 [kv_cache_utils.py:1199] GPU KV cache size: 250,528 tokens 2025-12-04T10:00:50.1169759Z (EngineCore_DP0 pid=70686) INFO 12-04 10:00:50 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 122.33x 2025-12-04T10:00:50.1170807Z (EngineCore_DP0 pid=70686) INFO 12-04 10:00:50 [kv_cache_utils.py:1199] GPU KV cache size: 250,528 tokens 2025-12-04T10:00:50.1171656Z (EngineCore_DP0 pid=70686) INFO 12-04 10:00:50 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 122.33x 2025-12-04T10:00:50.1286591Z (Worker_TP1 pid=70806) INFO 12-04 10:00:50 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T10:00:50.1287835Z (Worker_TP0 pid=70805) INFO 12-04 10:00:50 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T10:00:51.3411049Z (Worker_TP0 pid=70805) INFO 12-04 10:00:51 [backends.py:216] Cache the graph of shape 8 for later use 2025-12-04T10:00:51.3526782Z (Worker_TP1 pid=70806) INFO 12-04 10:00:51 [backends.py:216] Cache the graph of shape 8 for later use 2025-12-04T10:01:24.9995265Z (Worker_TP0 pid=70805) INFO 12-04 10:01:24 [backends.py:243] Compiling a graph for shape 8 takes 34.87 s 2025-12-04T10:01:25.0017825Z (Worker_TP1 pid=70806) INFO 12-04 10:01:25 [backends.py:243] Compiling a graph for shape 8 takes 34.87 s 2025-12-04T10:01:25.3662950Z (Worker_TP1 pid=70806) INFO 12-04 10:01:25 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T10:01:25.3683369Z (Worker_TP0 pid=70805) INFO 12-04 10:01:25 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T10:01:26.5524454Z (Worker_TP0 pid=70805) INFO 12-04 10:01:26 [backends.py:216] Cache the graph of shape 4 for later use 2025-12-04T10:01:26.5643723Z (Worker_TP1 pid=70806) INFO 12-04 10:01:26 [backends.py:216] Cache the graph of shape 4 for later use 2025-12-04T10:01:50.1292288Z (EngineCore_DP0 pid=70686) INFO 12-04 10:01:50 [shm_broadcast.py:482] No available shared memory broadcast block found in 60 seconds. This typically happens when some processes are hanging or doing some time-consuming work (e.g. compilation). 2025-12-04T10:02:10.0899100Z (Worker_TP1 pid=70806) INFO 12-04 10:02:10 [backends.py:243] Compiling a graph for shape 4 takes 44.72 s 2025-12-04T10:02:10.0919761Z (Worker_TP1 pid=70806) INFO 12-04 10:02:10 [monitor.py:33] torch.compile takes 115.65 s in total 2025-12-04T10:02:10.3013244Z (Worker_TP0 pid=70805) INFO 12-04 10:02:10 [backends.py:243] Compiling a graph for shape 4 takes 44.93 s 2025-12-04T10:02:10.3033884Z (Worker_TP0 pid=70805) INFO 12-04 10:02:10 [monitor.py:33] torch.compile takes 116.98 s in total 2025-12-04T10:02:10.3301008Z (EngineCore_DP0 pid=70686) INFO 12-04 10:02:10 [core.py:240] init engine (profile, create kv cache, warmup model) took 140.01 seconds 2025-12-04T10:02:10.8056152Z (EngineCore_DP0 pid=70686) INFO 12-04 10:02:10 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T10:02:10.9905065Z (APIServer pid=70563) INFO 12-04 10:02:10 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 15658 2025-12-04T10:02:11.0115855Z (EngineCore_DP0 pid=70686) INFO 12-04 10:02:11 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T10:02:11.0318854Z (APIServer pid=70563) INFO 12-04 10:02:11 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T10:02:11.0650026Z (APIServer pid=70563) WARNING 12-04 10:02:11 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T10:02:11.0651633Z (APIServer pid=70563) INFO 12-04 10:02:11 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T10:02:11.1347817Z (APIServer pid=70563) INFO 12-04 10:02:11 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T10:02:11.1729260Z (APIServer pid=70563) INFO 12-04 10:02:11 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T10:02:11.1730335Z (APIServer pid=70563) INFO 12-04 10:02:11 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:51839 2025-12-04T10:02:11.1731064Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:38] Available routes are: 2025-12-04T10:02:11.1731942Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD 2025-12-04T10:02:11.1742550Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /docs, Methods: GET, HEAD 2025-12-04T10:02:11.1743397Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD 2025-12-04T10:02:11.1744118Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /redoc, Methods: GET, HEAD 2025-12-04T10:02:11.1744783Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T10:02:11.1745425Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T10:02:11.1746052Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T10:02:11.1746673Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T10:02:11.1747303Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T10:02:11.1747970Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T10:02:11.1748497Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T10:02:11.1749120Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T10:02:11.1749646Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T10:02:11.1750229Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T10:02:11.1750864Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T10:02:11.1751476Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T10:02:11.1752171Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T10:02:11.1752743Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T10:02:11.1753280Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T10:02:11.1753810Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T10:02:11.1754334Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T10:02:11.1754847Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T10:02:11.1755421Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T10:02:11.1756018Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T10:02:11.1756554Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T10:02:11.1757079Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T10:02:11.1757606Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T10:02:11.1758141Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T10:02:11.1758729Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T10:02:11.1759396Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T10:02:11.1759975Z (APIServer pid=70563) INFO 12-04 10:02:11 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T10:02:11.1887040Z (APIServer pid=70563) INFO: Started server process [70563] 2025-12-04T10:02:11.1887707Z (APIServer pid=70563) INFO: Waiting for application startup. 2025-12-04T10:02:11.4151932Z (APIServer pid=70563) INFO: Application startup complete. 2025-12-04T10:02:11.6002522Z (APIServer pid=70563) INFO: 127.0.0.1:48082 - "GET /health HTTP/1.1" 200 OK 2025-12-04T10:02:11.8405598Z (APIServer pid=70563) INFO: 127.0.0.1:48084 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T10:02:12.0028695Z (APIServer pid=70563) INFO: 127.0.0.1:48084 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:02:12.1207548Z (APIServer pid=70563) INFO: 127.0.0.1:48084 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:02:12.3112156Z (APIServer pid=70563) INFO: 127.0.0.1:48084 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:02:12.4354361Z (APIServer pid=70563) INFO: 127.0.0.1:48084 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:02:12.5528440Z (APIServer pid=70563) INFO: 127.0.0.1:48084 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:02:12.5610151Z (APIServer pid=70563) INFO: 127.0.0.1:48084 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:02:12.6820737Z (APIServer pid=70563) INFO 12-04 10:02:12 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T10:02:12.6823858Z (Worker_TP0 pid=70805) INFO 12-04 10:02:12 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T10:02:12.6825592Z (Worker_TP0 pid=70805) INFO 12-04 10:02:12 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T10:02:12.6828181Z (Worker_TP1 pid=70806) INFO 12-04 10:02:12 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T10:02:12.6829545Z (Worker_TP1 pid=70806) INFO 12-04 10:02:12 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T10:02:15.9029761Z (APIServer pid=70563) INFO: Shutting down 2025-12-04T10:02:16.0035300Z (APIServer pid=70563) INFO: Waiting for application shutdown. 2025-12-04T10:02:16.0037586Z (APIServer pid=70563) INFO: Application shutdown complete. 2025-12-04T10:02:16.3473638Z INFO 12-04 10:02:16 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T10:02:16.3474661Z WARNING 12-04 10:02:16 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T10:02:16.3475541Z INFO 12-04 10:02:16 [model.py:1714] Using max model len 2048 2025-12-04T10:02:16.3480847Z Launching RemoteOpenAIServer with: vllm serve RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8 --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --distributed-executor-backend mp --load-format dummy --port 42807 --seed 0 2025-12-04T10:02:19.2459144Z INFO 12-04 10:02:19 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T10:02:22.9344921Z (APIServer pid=74955) INFO 12-04 10:02:22 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T10:02:22.9367360Z (APIServer pid=74955) INFO 12-04 10:02:22 [utils.py:239] non-default args: {'model_tag': 'RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', 'port': 42807, 'model': 'RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'mp', 'tensor_parallel_size': 2, 'max_num_seqs': 8} 2025-12-04T10:02:23.1053283Z (APIServer pid=74955) INFO 12-04 10:02:23 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T10:02:23.1054046Z (APIServer pid=74955) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T10:02:23.1054826Z (APIServer pid=74955) WARNING 12-04 10:02:23 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T10:02:23.1055550Z (APIServer pid=74955) INFO 12-04 10:02:23 [model.py:1714] Using max model len 2048 2025-12-04T10:02:23.4383685Z (APIServer pid=74955) INFO 12-04 10:02:23 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T10:02:23.4754899Z (APIServer pid=74955) INFO 12-04 10:02:23 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T10:02:26.8723386Z INFO 12-04 10:02:26 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T10:02:30.6078781Z (EngineCore_DP0 pid=75078) INFO 12-04 10:02:30 [core.py:727] Waiting for init message from front-end. 2025-12-04T10:02:30.6346156Z (EngineCore_DP0 pid=75078) INFO 12-04 10:02:30 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', speculative_config=None, tokenizer='RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=compressed-tensors, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 0, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': [], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T10:02:30.6351561Z (EngineCore_DP0 pid=75078) WARNING 12-04 10:02:30 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T10:02:30.6357885Z (EngineCore_DP0 pid=75078) INFO 12-04 10:02:30 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_e64c7269'), local_subscribe_addr='ipc:///tmp/f2a42130-b1e8-40c8-aa0b-d182394e1d08', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T10:02:33.5225943Z INFO 12-04 10:02:33 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T10:02:33.5586749Z INFO 12-04 10:02:33 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T10:02:38.7235567Z INFO 12-04 10:02:38 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_e2f32911'), local_subscribe_addr='ipc:///tmp/bee4fa47-5ffd-46f9-8713-aab9675a9dc9', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T10:02:38.7237099Z INFO 12-04 10:02:38 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_6f21d77c'), local_subscribe_addr='ipc:///tmp/1b45b038-3218-4b56-982d-ee5fe60d4a12', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T10:02:38.9160523Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T10:02:38.9161927Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T10:02:38.9209505Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T10:02:38.9210096Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T10:02:38.9252910Z INFO 12-04 10:02:38 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T10:02:38.9253610Z INFO 12-04 10:02:38 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T10:02:38.9254754Z INFO 12-04 10:02:38 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T10:02:38.9256007Z INFO 12-04 10:02:38 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T10:02:39.0988056Z WARNING 12-04 10:02:39 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T10:02:39.0988776Z WARNING 12-04 10:02:39 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T10:02:39.1014510Z INFO 12-04 10:02:39 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T10:02:39.1015192Z INFO 12-04 10:02:39 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T10:02:39.1016588Z WARNING 12-04 10:02:39 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T10:02:39.1018624Z WARNING 12-04 10:02:39 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T10:02:39.1828919Z INFO 12-04 10:02:39 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_822925aa'), local_subscribe_addr='ipc:///tmp/1f553532-cdcc-4299-907f-06c8496b5a40', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T10:02:39.1853505Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T10:02:39.1854414Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T10:02:39.1860938Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T10:02:39.1868951Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T10:02:39.2625792Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T10:02:39.2634777Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T10:02:39.2646219Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T10:02:39.2646725Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T10:02:39.2649233Z INFO 12-04 10:02:39 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T10:02:39.2649631Z INFO 12-04 10:02:39 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T10:02:39.2649983Z INFO 12-04 10:02:39 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T10:02:39.2650289Z INFO 12-04 10:02:39 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T10:02:39.2990009Z INFO 12-04 10:02:39 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T10:02:39.2990806Z INFO 12-04 10:02:39 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T10:02:39.5279961Z INFO 12-04 10:02:39 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T10:02:39.5481734Z INFO 12-04 10:02:39 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T10:02:39.5641923Z (Worker_TP1 pid=75198) INFO 12-04 10:02:39 [gpu_model_runner.py:2840] Starting to load model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8... 2025-12-04T10:02:39.5855333Z (Worker_TP0 pid=75197) INFO 12-04 10:02:39 [gpu_model_runner.py:2840] Starting to load model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8... 2025-12-04T10:02:39.7751062Z (Worker_TP1 pid=75198) INFO 12-04 10:02:39 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T10:02:39.8182289Z (Worker_TP0 pid=75197) INFO 12-04 10:02:39 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T10:02:39.8654850Z (Worker_TP1 pid=75198) INFO 12-04 10:02:39 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T10:02:39.9093939Z (Worker_TP0 pid=75197) INFO 12-04 10:02:39 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T10:02:40.6945124Z (Worker_TP1 pid=75198) INFO 12-04 10:02:40 [gpu_model_runner.py:2902] Model loading took 4.2624 GiB and 0.488762 seconds 2025-12-04T10:02:40.7766998Z (Worker_TP0 pid=75197) INFO 12-04 10:02:40 [gpu_model_runner.py:2902] Model loading took 4.2624 GiB and 0.487692 seconds 2025-12-04T10:02:43.4843501Z (Worker_TP1 pid=75198) INFO 12-04 10:02:43 [gpu_worker.py:314] Available KV cache memory: 15.32 GiB 2025-12-04T10:02:43.5815037Z (Worker_TP0 pid=75197) INFO 12-04 10:02:43 [gpu_worker.py:314] Available KV cache memory: 15.32 GiB 2025-12-04T10:02:43.8267021Z (EngineCore_DP0 pid=75078) INFO 12-04 10:02:43 [kv_cache_utils.py:1199] GPU KV cache size: 250,976 tokens 2025-12-04T10:02:43.8268013Z (EngineCore_DP0 pid=75078) INFO 12-04 10:02:43 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 122.55x 2025-12-04T10:02:43.8269349Z (EngineCore_DP0 pid=75078) INFO 12-04 10:02:43 [kv_cache_utils.py:1199] GPU KV cache size: 250,976 tokens 2025-12-04T10:02:43.8270213Z (EngineCore_DP0 pid=75078) INFO 12-04 10:02:43 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 122.55x 2025-12-04T10:02:44.0283323Z (EngineCore_DP0 pid=75078) INFO 12-04 10:02:44 [core.py:240] init engine (profile, create kv cache, warmup model) took 3.21 seconds 2025-12-04T10:02:44.5129968Z (EngineCore_DP0 pid=75078) INFO 12-04 10:02:44 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T10:02:44.6975147Z (APIServer pid=74955) INFO 12-04 10:02:44 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 15686 2025-12-04T10:02:44.7198956Z (EngineCore_DP0 pid=75078) INFO 12-04 10:02:44 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T10:02:44.7407928Z (APIServer pid=74955) INFO 12-04 10:02:44 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T10:02:44.7687816Z (APIServer pid=74955) WARNING 12-04 10:02:44 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T10:02:44.7689415Z (APIServer pid=74955) INFO 12-04 10:02:44 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T10:02:44.7928072Z (APIServer pid=74955) INFO 12-04 10:02:44 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T10:02:44.8357918Z (APIServer pid=74955) INFO 12-04 10:02:44 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T10:02:44.8359334Z (APIServer pid=74955) INFO 12-04 10:02:44 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:42807 2025-12-04T10:02:44.8360100Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:38] Available routes are: 2025-12-04T10:02:44.8360805Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD 2025-12-04T10:02:44.8361512Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /docs, Methods: GET, HEAD 2025-12-04T10:02:44.8362186Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD 2025-12-04T10:02:44.8362775Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /redoc, Methods: GET, HEAD 2025-12-04T10:02:44.8363321Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T10:02:44.8363836Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T10:02:44.8364359Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T10:02:44.8364877Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T10:02:44.8365555Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T10:02:44.8366132Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T10:02:44.8366676Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T10:02:44.8367206Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T10:02:44.8367762Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T10:02:44.8368364Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T10:02:44.8369164Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T10:02:44.8369796Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T10:02:44.8370378Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T10:02:44.8370933Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T10:02:44.8371471Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T10:02:44.8372009Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T10:02:44.8372531Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T10:02:44.8373055Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T10:02:44.8373630Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T10:02:44.8374238Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T10:02:44.8374785Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T10:02:44.8375333Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T10:02:44.8375869Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T10:02:44.8376471Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T10:02:44.8377053Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T10:02:44.8377641Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T10:02:44.8378183Z (APIServer pid=74955) INFO 12-04 10:02:44 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T10:02:44.8517308Z (APIServer pid=74955) INFO: Started server process [74955] 2025-12-04T10:02:44.8517964Z (APIServer pid=74955) INFO: Waiting for application startup. 2025-12-04T10:02:45.0735459Z (APIServer pid=74955) INFO: Application startup complete. 2025-12-04T10:02:45.4228313Z (APIServer pid=74955) INFO: 127.0.0.1:58198 - "GET /health HTTP/1.1" 200 OK 2025-12-04T10:02:45.4318793Z (APIServer pid=74955) INFO: 127.0.0.1:58212 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T10:02:45.7251280Z (APIServer pid=74955) INFO: 127.0.0.1:58212 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:02:45.8414035Z (APIServer pid=74955) INFO: 127.0.0.1:58212 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:02:45.9933014Z (APIServer pid=74955) INFO: 127.0.0.1:58212 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:02:46.1466549Z (APIServer pid=74955) INFO: 127.0.0.1:58212 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:02:46.2897502Z (APIServer pid=74955) INFO: 127.0.0.1:58212 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:02:46.2969409Z (APIServer pid=74955) INFO: 127.0.0.1:58212 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:02:46.4436795Z (APIServer pid=74955) INFO 12-04 10:02:46 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T10:02:46.4443551Z (Worker_TP0 pid=75197) INFO 12-04 10:02:46 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T10:02:46.4444544Z (Worker_TP0 pid=75197) INFO 12-04 10:02:46 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T10:02:46.4445237Z (Worker_TP1 pid=75198) INFO 12-04 10:02:46 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T10:02:46.4446019Z (Worker_TP1 pid=75198) INFO 12-04 10:02:46 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T10:02:46.9165795Z [rank1]:[W1204 10:02:46.082674541 TCPStore.cpp:125] [c10d] recvValue failed on SocketImpl(fd=87, addr=[localhost]:42542, remote=[localhost]:58885): Failed to recv, got 0 bytes. Connection was likely closed. Did the remote server shutdown or crash? 2025-12-04T10:02:46.9168284Z Exception raised from recvBytes at /var/lib/jenkins/workspace/torch/csrc/distributed/c10d/Utils.hpp:682 (most recent call first): 2025-12-04T10:02:46.9170670Z frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) + 0xac (0x7ff10f86db7c in /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libc10.so) 2025-12-04T10:02:46.9172878Z frame #1: + 0x6ee07ef (0x7ff1341697ef in /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so) 2025-12-04T10:02:46.9174370Z frame #2: c10d::TCPStore::check(std::vector, std::allocator >, std::allocator, std::allocator > > > const&) + 0x1df (0x7ff13416539f in /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so) 2025-12-04T10:02:46.9175810Z frame #3: c10d::ProcessGroupNCCL::HeartbeatMonitor::runLoop() + 0x3c5 (0x7ff110968d45 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_cuda.so) 2025-12-04T10:02:46.9176527Z frame #4: + 0xdc253 (0x7ff143cb0253 in /usr/lib/x86_64-linux-gnu/libstdc++.so.6) 2025-12-04T10:02:46.9177025Z frame #5: + 0x94ac3 (0x7ff144dc7ac3 in /usr/lib/x86_64-linux-gnu/libc.so.6) 2025-12-04T10:02:46.9177512Z frame #6: + 0x1268c0 (0x7ff144e598c0 in /usr/lib/x86_64-linux-gnu/libc.so.6) 2025-12-04T10:02:46.9177793Z 2025-12-04T10:02:46.9178510Z [rank1]:[W1204 10:02:46.084787598 ProcessGroupNCCL.cpp:1802] [PG ID 0 PG GUID 0 Rank 1] Failed to check the "should dump" flag on TCPStore, (maybe TCPStore server has shut down too early), with error: Failed to recv, got 0 bytes. Connection was likely closed. Did the remote server shutdown or crash? 2025-12-04T10:02:48.8580859Z (APIServer pid=74955) INFO: Shutting down 2025-12-04T10:02:48.9587383Z (APIServer pid=74955) INFO: Waiting for application shutdown. 2025-12-04T10:02:48.9588966Z (APIServer pid=74955) INFO: Application shutdown complete. 2025-12-04T10:02:49.5279541Z PASSED 2025-12-04T10:02:49.5425428Z distributed/test_sequence_parallel.py::test_tp_sp_generation[RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8-parallel_setup19-ray-auto-test_options19] Fork a new process to run a test 75409 2025-12-04T10:02:49.5436524Z Fork a new process to run a test 0 2025-12-04T10:02:50.1824514Z INFO 12-04 10:02:50 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T10:02:50.1825795Z `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T10:02:50.1826899Z WARNING 12-04 10:02:50 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T10:02:50.1827704Z INFO 12-04 10:02:50 [model.py:1714] Using max model len 2048 2025-12-04T10:02:50.2855302Z Launching RemoteOpenAIServer with: vllm serve RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8 --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --pipeline-parallel-size 1 --distributed-executor-backend ray --compilation_config {"level": 3, "custom_ops": ["+rms_norm"], "compile_sizes": [4, 8], "pass_config": {"enable_sequence_parallelism": true, "enable_fusion": true, "enable_noop": true}} --load-format dummy --port 36421 --seed 0 2025-12-04T10:02:53.2011044Z INFO 12-04 10:02:53 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T10:02:56.8723189Z (APIServer pid=75458) INFO 12-04 10:02:56 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T10:02:56.8752966Z (APIServer pid=75458) INFO 12-04 10:02:56 [utils.py:239] non-default args: {'model_tag': 'RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', 'port': 36421, 'model': 'RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'ray', 'tensor_parallel_size': 2, 'max_num_seqs': 8, 'compilation_config': {'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm'], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [4, 8], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': None, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': None, 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_fusion': True, 'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': None, 'local_cache_dir': None}} 2025-12-04T10:02:57.0233280Z (APIServer pid=75458) INFO 12-04 10:02:57 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T10:02:57.0234862Z (APIServer pid=75458) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T10:02:57.0236860Z (APIServer pid=75458) WARNING 12-04 10:02:57 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T10:02:57.0238201Z (APIServer pid=75458) INFO 12-04 10:02:57 [model.py:1714] Using max model len 2048 2025-12-04T10:02:57.3614091Z (APIServer pid=75458) INFO 12-04 10:02:57 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T10:02:57.3986038Z (APIServer pid=75458) INFO 12-04 10:02:57 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T10:03:00.8456168Z INFO 12-04 10:03:00 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T10:03:04.7464318Z (EngineCore_DP0 pid=75581) INFO 12-04 10:03:04 [core.py:727] Waiting for init message from front-end. 2025-12-04T10:03:04.7733224Z (EngineCore_DP0 pid=75581) INFO 12-04 10:03:04 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', speculative_config=None, tokenizer='RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=compressed-tensors, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 3, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': ['+rms_norm', '+rms_norm'], 'splitting_ops': ['vllm.unified_attention', 'vllm.unified_attention_with_output', 'vllm.unified_mla_attention', 'vllm.unified_mla_attention_with_output', 'vllm.mamba_mixer2', 'vllm.mamba_mixer', 'vllm.short_conv', 'vllm.linear_attention', 'vllm.plamo2_mamba_mixer', 'vllm.gdn_attention', 'vllm.sparse_attn_indexer'], 'use_inductor': True, 'compile_sizes': [8, 4], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {'enable_fusion': True, 'enable_noop': True, 'enable_sequence_parallelism': True}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T10:03:06.6893027Z (EngineCore_DP0 pid=75581) 2025-12-04 10:03:06,688 INFO worker.py:1918 -- Started a local Ray instance. View the dashboard at http://127.0.0.1:8265  2025-12-04T10:03:07.5490501Z (EngineCore_DP0 pid=75581) INFO 12-04 10:03:07 [ray_utils.py:373] No current placement group found. Creating a new placement group. 2025-12-04T10:03:07.7272833Z (EngineCore_DP0 pid=75581) INFO 12-04 10:03:07 [ray_distributed_executor.py:179] use_ray_spmd_worker: True 2025-12-04T10:03:10.6352901Z (EngineCore_DP0 pid=75581) (pid=76466) INFO 12-04 10:03:10 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T10:03:13.2618395Z (EngineCore_DP0 pid=75581) INFO 12-04 10:03:13 [ray_env.py:67] RAY_NON_CARRY_OVER_ENV_VARS from config: set() 2025-12-04T10:03:13.2619953Z (EngineCore_DP0 pid=75581) INFO 12-04 10:03:13 [ray_env.py:70] Copying the following environment variables to workers: ['VLLM_USE_V1', 'VLLM_WORKER_MULTIPROC_METHOD', 'LD_LIBRARY_PATH', 'VLLM_USE_RAY_SPMD_WORKER', 'HUGGING_FACE_HUB_TOKEN', 'HF_TOKEN', 'MAX_JOBS', 'VLLM_USE_RAY_COMPILED_DAG'] 2025-12-04T10:03:13.2621872Z (EngineCore_DP0 pid=75581) INFO 12-04 10:03:13 [ray_env.py:75] If certain env vars should NOT be copied, add them to /var/lib/jenkins/.config/vllm/ray_non_carry_over_env_vars.json file 2025-12-04T10:03:15.5303840Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) WARNING 12-04 10:03:15 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. 2025-12-04T10:03:15.7363738Z (EngineCore_DP0 pid=75581) (pid=76463) INFO 12-04 10:03:10 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T10:03:15.9429676Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T10:03:15.9430934Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T10:03:15.9432471Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:03:15 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T10:03:15.9433524Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:03:15 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T10:03:16.1489703Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) WARNING 12-04 10:03:16 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T10:03:16.1492537Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:03:16 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T10:03:16.1495013Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) WARNING 12-04 10:03:16 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T10:03:16.1520088Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:03:16 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_aaaaad74'), local_subscribe_addr='ipc:///tmp/ec589363-2cb8-47b2-bc1c-fda86c7d255c', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T10:03:16.2561537Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:03:16 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T10:03:16.5645528Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:03:16 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T10:03:16.5668775Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:03:16 [gpu_model_runner.py:2840] Starting to load model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8... 2025-12-04T10:03:16.8749318Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:03:16 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T10:03:16.9790463Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:03:16 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T10:03:17.8978360Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:03:17 [gpu_model_runner.py:2902] Model loading took 4.2624 GiB and 0.544239 seconds 2025-12-04T10:03:25.5509791Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:03:25 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/bfc1872831/rank_1_0/backbone for vLLM's torch.compile 2025-12-04T10:03:25.5511673Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:03:25 [backends.py:608] Dynamo bytecode transform time: 7.36 s 2025-12-04T10:03:25.5512731Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) WARNING 12-04 10:03:15 [worker_base.py:307] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. 2025-12-04T10:03:25.5514793Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 [repeated 10x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.) 2025-12-04T10:03:25.5516424Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:03:16 [__init__.py:1146] Found nccl from library libnccl.so.2 [repeated 3x across cluster] 2025-12-04T10:03:25.5517368Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:03:16 [pynccl.py:109] vLLM is using nccl==2.27.5 [repeated 3x across cluster] 2025-12-04T10:03:25.5518376Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) WARNING 12-04 10:03:16 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T10:03:25.5519599Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:03:16 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T10:03:25.5520914Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) WARNING 12-04 10:03:16 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T10:03:25.5522436Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:03:16 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T10:03:25.5523407Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:03:16 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T10:03:25.5524347Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:03:16 [gpu_model_runner.py:2840] Starting to load model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8... 2025-12-04T10:03:25.5525215Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:03:16 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T10:03:25.5525983Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:03:16 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T10:03:25.5526813Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:03:17 [gpu_model_runner.py:2902] Model loading took 4.2624 GiB and 0.542229 seconds 2025-12-04T10:03:28.3039253Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:03:28 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 2.188 s 2025-12-04T10:03:30.4468704Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:03:30 [gpu_worker.py:314] Available KV cache memory: 15.34 GiB 2025-12-04T10:03:30.7486060Z (EngineCore_DP0 pid=75581) INFO 12-04 10:03:30 [kv_cache_utils.py:1199] GPU KV cache size: 251,360 tokens 2025-12-04T10:03:30.7487023Z (EngineCore_DP0 pid=75581) INFO 12-04 10:03:30 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 122.73x 2025-12-04T10:03:30.7487913Z (EngineCore_DP0 pid=75581) INFO 12-04 10:03:30 [kv_cache_utils.py:1199] GPU KV cache size: 251,360 tokens 2025-12-04T10:03:30.7489185Z (EngineCore_DP0 pid=75581) INFO 12-04 10:03:30 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 122.73x 2025-12-04T10:03:30.8595385Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:03:30 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T10:03:30.8596865Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:03:25 [backends.py:594] Using cache directory: /var/lib/jenkins/.cache/vllm/torch_compile_cache/bfc1872831/rank_0_0/backbone for vLLM's torch.compile 2025-12-04T10:03:30.8598186Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:03:25 [backends.py:608] Dynamo bytecode transform time: 7.45 s 2025-12-04T10:03:49.0910128Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:03:48 [backends.py:185] Directly load the compiled graph(s) for shape 8 from the cache, took 18.234 s 2025-12-04T10:03:49.0911286Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:03:28 [backends.py:179] Directly load the compiled graph(s) for dynamic shape from the cache, took 2.171 s 2025-12-04T10:03:49.0912207Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:03:30 [gpu_worker.py:314] Available KV cache memory: 15.34 GiB 2025-12-04T10:03:49.0913448Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:03:30 [gpu_worker.py:351] Compile and warming up model for size 8 2025-12-04T10:03:49.2961472Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:03:49 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T10:04:09.2028552Z (EngineCore_DP0 pid=75581) INFO 12-04 10:04:09 [core.py:240] init engine (profile, create kv cache, warmup model) took 51.34 seconds 2025-12-04T10:04:09.5544966Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:04:09 [monitor.py:33] torch.compile takes 7.36 s in total 2025-12-04T10:04:09.5552359Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76466) INFO 12-04 10:04:09 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 19.962 s [repeated 2x across cluster] 2025-12-04T10:04:09.5553749Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:03:49 [gpu_worker.py:351] Compile and warming up model for size 4 2025-12-04T10:04:09.6730234Z (EngineCore_DP0 pid=75581) INFO 12-04 10:04:09 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T10:04:09.8691186Z (APIServer pid=75458) INFO 12-04 10:04:09 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 15710 2025-12-04T10:04:09.9276718Z (EngineCore_DP0 pid=75581) INFO 12-04 10:04:09 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T10:04:09.9526156Z (APIServer pid=75458) INFO 12-04 10:04:09 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T10:04:09.9805517Z (APIServer pid=75458) WARNING 12-04 10:04:09 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T10:04:09.9808633Z (APIServer pid=75458) INFO 12-04 10:04:09 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T10:04:10.0129807Z (APIServer pid=75458) INFO 12-04 10:04:10 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T10:04:10.0410862Z (APIServer pid=75458) INFO 12-04 10:04:10 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T10:04:10.0413764Z (APIServer pid=75458) INFO 12-04 10:04:10 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:36421 2025-12-04T10:04:10.0415057Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:38] Available routes are: 2025-12-04T10:04:10.0415926Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /openapi.json, Methods: GET, HEAD 2025-12-04T10:04:10.0416651Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /docs, Methods: GET, HEAD 2025-12-04T10:04:10.0417373Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD 2025-12-04T10:04:10.0418071Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /redoc, Methods: GET, HEAD 2025-12-04T10:04:10.0418744Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T10:04:10.0419389Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T10:04:10.0420018Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T10:04:10.0420631Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T10:04:10.0421445Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T10:04:10.0421984Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T10:04:10.0422505Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T10:04:10.0423007Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T10:04:10.0423537Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T10:04:10.0424280Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T10:04:10.0425022Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T10:04:10.0425778Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T10:04:10.0426347Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T10:04:10.0426902Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T10:04:10.0427436Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T10:04:10.0427952Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T10:04:10.0428466Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T10:04:10.0428999Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T10:04:10.0429574Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T10:04:10.0430166Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T10:04:10.0430708Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T10:04:10.0431245Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T10:04:10.0431779Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T10:04:10.0432448Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T10:04:10.0433039Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T10:04:10.0433613Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T10:04:10.0434131Z (APIServer pid=75458) INFO 12-04 10:04:10 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T10:04:10.0572568Z (APIServer pid=75458) INFO: Started server process [75458] 2025-12-04T10:04:10.0573243Z (APIServer pid=75458) INFO: Waiting for application startup. 2025-12-04T10:04:10.2814881Z (APIServer pid=75458) INFO: Application startup complete. 2025-12-04T10:04:10.4821351Z (APIServer pid=75458) INFO: 127.0.0.1:60646 - "GET /health HTTP/1.1" 200 OK 2025-12-04T10:04:10.7247175Z (APIServer pid=75458) INFO: 127.0.0.1:60650 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T10:04:10.7549341Z (EngineCore_DP0 pid=75581) INFO 12-04 10:04:10 [ray_distributed_executor.py:569] RAY_CGRAPH_get_timeout is set to 300 2025-12-04T10:04:10.7551252Z (EngineCore_DP0 pid=75581) INFO 12-04 10:04:10 [ray_distributed_executor.py:573] VLLM_USE_RAY_COMPILED_DAG_CHANNEL_TYPE = auto 2025-12-04T10:04:10.7553114Z (EngineCore_DP0 pid=75581) INFO 12-04 10:04:10 [ray_distributed_executor.py:577] VLLM_USE_RAY_COMPILED_DAG_OVERLAP_COMM = False 2025-12-04T10:04:10.7555171Z (EngineCore_DP0 pid=75581) INFO 12-04 10:04:10 [ray_distributed_executor.py:653] Using RayPPCommunicator (which wraps vLLM _PP GroupCoordinator) for Ray Compiled Graph communication. 2025-12-04T10:04:10.9860826Z (APIServer pid=75458) INFO: 127.0.0.1:60650 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:04:11.1066914Z (APIServer pid=75458) INFO: 127.0.0.1:60650 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:04:11.3004746Z (APIServer pid=75458) INFO: 127.0.0.1:60650 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:04:11.4273633Z (APIServer pid=75458) INFO: 127.0.0.1:60650 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:04:11.5794708Z (APIServer pid=75458) INFO: 127.0.0.1:60650 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:04:11.5879479Z (APIServer pid=75458) INFO: 127.0.0.1:60650 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:04:11.7568742Z (APIServer pid=75458) INFO 12-04 10:04:11 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T10:04:11.7571424Z *** SIGTERM received at time=1764842651 on cpu 24 *** 2025-12-04T10:04:11.7619419Z PC: @ 0x7fe2b87c1117 (unknown) (unknown) 2025-12-04T10:04:11.7620516Z @ 0x7fe2b8772520 (unknown) (unknown) 2025-12-04T10:04:11.7621005Z [2025-12-04 10:04:11,761 E 75581 75581] logging.cc:501: *** SIGTERM received at time=1764842651 on cpu 24 *** 2025-12-04T10:04:11.7622933Z [2025-12-04 10:04:11,762 E 75581 75581] logging.cc:501: PC: @ 0x7fe2b87c1117 (unknown) (unknown) 2025-12-04T10:04:11.7624730Z [2025-12-04 10:04:11,762 E 75581 75581] logging.cc:501: @ 0x7fe2b8772520 (unknown) (unknown) 2025-12-04T10:04:11.7627416Z (EngineCore_DP0 pid=75581) INFO 12-04 10:04:11 [ray_distributed_executor.py:127] Shutting down Ray distributed executor. If you see error log from logging.cc regarding SIGTERM received, please ignore because this is the expected termination process in Ray. 2025-12-04T10:04:11.7628762Z (EngineCore_DP0 pid=75581) 2025-12-04 10:04:11,762 INFO compiled_dag_node.py:2171 -- Tearing down compiled DAG 2025-12-04T10:04:11.7630423Z (EngineCore_DP0 pid=75581) 2025-12-04 10:04:11,762 INFO compiled_dag_node.py:2176 -- Cancelling compiled worker on actor: Actor(RayWorkerWrapper, 2c38ee69c5027caf7a85e11601000000) 2025-12-04T10:04:11.7631708Z (EngineCore_DP0 pid=75581) 2025-12-04 10:04:11,762 INFO compiled_dag_node.py:2176 -- Cancelling compiled worker on actor: Actor(RayWorkerWrapper, c0bf42680c75c5119a23c69101000000) 2025-12-04T10:04:11.7672976Z (EngineCore_DP0 pid=75581) 2025-12-04 10:04:11,766 INFO compiled_dag_node.py:2198 -- Waiting for worker tasks to exit 2025-12-04T10:04:11.7674268Z (EngineCore_DP0 pid=75581) 2025-12-04 10:04:11,767 INFO compiled_dag_node.py:2201 -- Teardown complete 2025-12-04T10:04:12.2703589Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:04:09 [monitor.py:33] torch.compile takes 7.45 s in total 2025-12-04T10:04:12.2704800Z (EngineCore_DP0 pid=75581) (RayWorkerWrapper pid=76463) INFO 12-04 10:04:09 [backends.py:185] Directly load the compiled graph(s) for shape 4 from the cache, took 19.961 s 2025-12-04T10:04:14.1048853Z (APIServer pid=75458) INFO: Shutting down 2025-12-04T10:04:14.2051185Z (APIServer pid=75458) INFO: Waiting for application shutdown. 2025-12-04T10:04:14.2051851Z (APIServer pid=75458) INFO: Application shutdown complete. 2025-12-04T10:04:14.5414246Z INFO 12-04 10:04:14 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T10:04:14.5414954Z WARNING 12-04 10:04:14 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T10:04:14.5415549Z INFO 12-04 10:04:14 [model.py:1714] Using max model len 2048 2025-12-04T10:04:14.5421233Z Launching RemoteOpenAIServer with: vllm serve RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8 --dtype float16 --max-model-len 2048 --max-num-seqs 8 --enforce-eager --tokenizer-mode auto --tensor-parallel-size 2 --distributed-executor-backend mp --load-format dummy --port 54817 --seed 0 2025-12-04T10:04:17.4536959Z INFO 12-04 10:04:17 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T10:04:21.1209603Z (APIServer pid=80609) INFO 12-04 10:04:21 [api_server.py:1870] vLLM API server version 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T10:04:21.1233763Z (APIServer pid=80609) INFO 12-04 10:04:21 [utils.py:239] non-default args: {'model_tag': 'RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', 'port': 54817, 'model': 'RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', 'dtype': 'float16', 'seed': 0, 'max_model_len': 2048, 'enforce_eager': True, 'load_format': 'dummy', 'distributed_executor_backend': 'mp', 'tensor_parallel_size': 2, 'max_num_seqs': 8} 2025-12-04T10:04:21.2765550Z (APIServer pid=80609) INFO 12-04 10:04:21 [model.py:653] Resolved architecture: LlamaForCausalLM 2025-12-04T10:04:21.2766851Z (APIServer pid=80609) `torch_dtype` is deprecated! Use `dtype` instead! 2025-12-04T10:04:21.2768264Z (APIServer pid=80609) WARNING 12-04 10:04:21 [model.py:1942] Casting torch.bfloat16 to torch.float16. 2025-12-04T10:04:21.2769605Z (APIServer pid=80609) INFO 12-04 10:04:21 [model.py:1714] Using max model len 2048 2025-12-04T10:04:21.6108457Z (APIServer pid=80609) INFO 12-04 10:04:21 [scheduler.py:225] Chunked prefill is enabled with max_num_batched_tokens=2048. 2025-12-04T10:04:21.6484488Z (APIServer pid=80609) INFO 12-04 10:04:21 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T10:04:25.0433748Z INFO 12-04 10:04:25 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T10:04:28.8185287Z (EngineCore_DP0 pid=80732) INFO 12-04 10:04:28 [core.py:727] Waiting for init message from front-end. 2025-12-04T10:04:28.8458353Z (EngineCore_DP0 pid=80732) INFO 12-04 10:04:28 [core.py:94] Initializing a V1 LLM engine (v0.11.0rc2.dev389+ge51928192.d20251204) with config: model='RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', speculative_config=None, tokenizer='RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=dummy, tensor_parallel_size=2, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=compressed-tensors, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': 0, 'debug_dump_path': None, 'cache_dir': '', 'backend': '', 'custom_ops': [], 'splitting_ops': None, 'use_inductor': True, 'compile_sizes': [], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'use_cudagraph': False, 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_capture_size': 0, 'local_cache_dir': None} 2025-12-04T10:04:28.8464050Z (EngineCore_DP0 pid=80732) WARNING 12-04 10:04:28 [multiproc_executor.py:744] Reducing Torch parallelism from 24 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. 2025-12-04T10:04:28.8467321Z (EngineCore_DP0 pid=80732) INFO 12-04 10:04:28 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0, 1], buffer_handle=(2, 16777216, 10, 'psm_7904a3af'), local_subscribe_addr='ipc:///tmp/34f7dc08-14aa-4075-80ba-2d62285732b1', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T10:04:31.7614308Z INFO 12-04 10:04:31 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T10:04:31.7655200Z INFO 12-04 10:04:31 [__init__.py:224] Automatically detected platform cuda. 2025-12-04T10:04:36.9832712Z INFO 12-04 10:04:36 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_5e80bb7b'), local_subscribe_addr='ipc:///tmp/e91353b0-ce5d-40b9-a686-174187d65ab8', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T10:04:36.9834543Z INFO 12-04 10:04:36 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[0], buffer_handle=(1, 10485760, 10, 'psm_8a45a784'), local_subscribe_addr='ipc:///tmp/af496b41-10e9-40d1-b966-9b58517a8957', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T10:04:37.1814963Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T10:04:37.1815655Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T10:04:37.1863009Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T10:04:37.1863507Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T10:04:37.1920753Z INFO 12-04 10:04:37 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T10:04:37.1921994Z INFO 12-04 10:04:37 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T10:04:37.1923587Z INFO 12-04 10:04:37 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T10:04:37.1924324Z INFO 12-04 10:04:37 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T10:04:37.3763151Z WARNING 12-04 10:04:37 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T10:04:37.3765659Z WARNING 12-04 10:04:37 [symm_mem.py:60] SymmMemCommunicator: Device capability 8.9 not supported, communicator is not available. 2025-12-04T10:04:37.3787104Z INFO 12-04 10:04:37 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T10:04:37.3789876Z WARNING 12-04 10:04:37 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T10:04:37.3791956Z INFO 12-04 10:04:37 [custom_all_reduce.py:37] Skipping P2P check and trusting the driver's P2P report. 2025-12-04T10:04:37.3792770Z WARNING 12-04 10:04:37 [custom_all_reduce.py:162] Custom allreduce is disabled because your platform lacks GPU P2P capability or P2P test failed. To silence this warning, specify disable_custom_all_reduce=True explicitly. 2025-12-04T10:04:37.4630618Z INFO 12-04 10:04:37 [shm_broadcast.py:302] vLLM message queue communication handle: Handle(local_reader_ranks=[1], buffer_handle=(1, 4194304, 6, 'psm_20ce2065'), local_subscribe_addr='ipc:///tmp/9dee0e17-181d-4e18-9a5a-8e2540024101', remote_subscribe_addr=None, remote_addr_ipv6=False) 2025-12-04T10:04:37.4660411Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T10:04:37.4661609Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T10:04:37.4668554Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T10:04:37.4675073Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T10:04:37.5728384Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T10:04:37.5735654Z [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 2025-12-04T10:04:37.5747910Z [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T10:04:37.5749105Z [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1 2025-12-04T10:04:37.5750108Z INFO 12-04 10:04:37 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T10:04:37.5751373Z INFO 12-04 10:04:37 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T10:04:37.5751942Z INFO 12-04 10:04:37 [__init__.py:1146] Found nccl from library libnccl.so.2 2025-12-04T10:04:37.5752271Z INFO 12-04 10:04:37 [pynccl.py:109] vLLM is using nccl==2.27.5 2025-12-04T10:04:37.6093608Z INFO 12-04 10:04:37 [parallel_state.py:1231] rank 0 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 2025-12-04T10:04:37.6094364Z INFO 12-04 10:04:37 [parallel_state.py:1231] rank 1 in world size 2 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 2025-12-04T10:04:37.8489140Z INFO 12-04 10:04:37 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T10:04:37.8756083Z INFO 12-04 10:04:37 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling. 2025-12-04T10:04:37.8849175Z (Worker_TP1 pid=80852) INFO 12-04 10:04:37 [gpu_model_runner.py:2840] Starting to load model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8... 2025-12-04T10:04:37.9118914Z (Worker_TP0 pid=80851) INFO 12-04 10:04:37 [gpu_model_runner.py:2840] Starting to load model RedHatAI/Meta-Llama-3.1-8B-Instruct-FP8... 2025-12-04T10:04:38.1010587Z (Worker_TP1 pid=80852) INFO 12-04 10:04:38 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T10:04:38.1518986Z (Worker_TP0 pid=80851) INFO 12-04 10:04:38 [gpu_model_runner.py:2870] Loading model from scratch... 2025-12-04T10:04:38.1909252Z (Worker_TP1 pid=80852) INFO 12-04 10:04:38 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T10:04:38.2428190Z (Worker_TP0 pid=80851) INFO 12-04 10:04:38 [cuda.py:404] Using Flash Attention backend on V1 engine. 2025-12-04T10:04:39.0239086Z (Worker_TP1 pid=80852) INFO 12-04 10:04:39 [gpu_model_runner.py:2902] Model loading took 4.2624 GiB and 0.486984 seconds 2025-12-04T10:04:39.1096620Z (Worker_TP0 pid=80851) INFO 12-04 10:04:39 [gpu_model_runner.py:2902] Model loading took 4.2624 GiB and 0.486941 seconds 2025-12-04T10:04:41.8831054Z (Worker_TP0 pid=80851) INFO 12-04 10:04:41 [gpu_worker.py:314] Available KV cache memory: 15.32 GiB 2025-12-04T10:04:41.8917504Z (Worker_TP1 pid=80852) INFO 12-04 10:04:41 [gpu_worker.py:314] Available KV cache memory: 15.32 GiB 2025-12-04T10:04:42.1268495Z (EngineCore_DP0 pid=80732) INFO 12-04 10:04:42 [kv_cache_utils.py:1199] GPU KV cache size: 250,976 tokens 2025-12-04T10:04:42.1269801Z (EngineCore_DP0 pid=80732) INFO 12-04 10:04:42 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 122.55x 2025-12-04T10:04:42.1271036Z (EngineCore_DP0 pid=80732) INFO 12-04 10:04:42 [kv_cache_utils.py:1199] GPU KV cache size: 250,976 tokens 2025-12-04T10:04:42.1272315Z (EngineCore_DP0 pid=80732) INFO 12-04 10:04:42 [kv_cache_utils.py:1204] Maximum concurrency for 2,048 tokens per request: 122.55x 2025-12-04T10:04:42.3314028Z (EngineCore_DP0 pid=80732) INFO 12-04 10:04:42 [core.py:240] init engine (profile, create kv cache, warmup model) took 3.17 seconds 2025-12-04T10:04:42.8042187Z (EngineCore_DP0 pid=80732) INFO 12-04 10:04:42 [vllm.py:354] Cudagraph is disabled under eager mode 2025-12-04T10:04:42.9889088Z (APIServer pid=80609) INFO 12-04 10:04:42 [loggers.py:172] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 15686 2025-12-04T10:04:43.0046417Z (EngineCore_DP0 pid=80732) INFO 12-04 10:04:43 [gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 2025-12-04T10:04:43.0254018Z (APIServer pid=80609) INFO 12-04 10:04:43 [api_server.py:1628] Supported tasks: ['generate'] 2025-12-04T10:04:43.0517805Z (APIServer pid=80609) WARNING 12-04 10:04:43 [model.py:1581] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`. 2025-12-04T10:04:43.0521561Z (APIServer pid=80609) INFO 12-04 10:04:43 [serving_responses.py:157] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T10:04:43.0817398Z (APIServer pid=80609) INFO 12-04 10:04:43 [serving_chat.py:159] Using default chat sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T10:04:43.1144440Z (APIServer pid=80609) INFO 12-04 10:04:43 [serving_completion.py:67] Using default completion sampling params from model: {'temperature': 0.6, 'top_p': 0.9} 2025-12-04T10:04:43.1146021Z (APIServer pid=80609) INFO 12-04 10:04:43 [api_server.py:1939] Starting vLLM API server 0 on http://0.0.0.0:54817 2025-12-04T10:04:43.1146730Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:38] Available routes are: 2025-12-04T10:04:43.1147416Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /openapi.json, Methods: HEAD, GET 2025-12-04T10:04:43.1148105Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /docs, Methods: HEAD, GET 2025-12-04T10:04:43.1148819Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /docs/oauth2-redirect, Methods: HEAD, GET 2025-12-04T10:04:43.1149532Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /redoc, Methods: HEAD, GET 2025-12-04T10:04:43.1150179Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /health, Methods: GET 2025-12-04T10:04:43.1150805Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /load, Methods: GET 2025-12-04T10:04:43.1151428Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /ping, Methods: POST 2025-12-04T10:04:43.1152249Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /ping, Methods: GET 2025-12-04T10:04:43.1152888Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /tokenize, Methods: POST 2025-12-04T10:04:43.1153550Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /detokenize, Methods: POST 2025-12-04T10:04:43.1154195Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /v1/models, Methods: GET 2025-12-04T10:04:43.1154797Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /version, Methods: GET 2025-12-04T10:04:43.1155339Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /v1/responses, Methods: POST 2025-12-04T10:04:43.1155917Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET 2025-12-04T10:04:43.1156534Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST 2025-12-04T10:04:43.1157142Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /v1/chat/completions, Methods: POST 2025-12-04T10:04:43.1157718Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /v1/completions, Methods: POST 2025-12-04T10:04:43.1158261Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /v1/embeddings, Methods: POST 2025-12-04T10:04:43.1158896Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /pooling, Methods: POST 2025-12-04T10:04:43.1159544Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /classify, Methods: POST 2025-12-04T10:04:43.1160061Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /score, Methods: POST 2025-12-04T10:04:43.1160568Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /v1/score, Methods: POST 2025-12-04T10:04:43.1161121Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /v1/audio/transcriptions, Methods: POST 2025-12-04T10:04:43.1161850Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /v1/audio/translations, Methods: POST 2025-12-04T10:04:43.1162421Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /rerank, Methods: POST 2025-12-04T10:04:43.1162953Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /v1/rerank, Methods: POST 2025-12-04T10:04:43.1163469Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /v2/rerank, Methods: POST 2025-12-04T10:04:43.1164007Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /scale_elastic_ep, Methods: POST 2025-12-04T10:04:43.1164599Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST 2025-12-04T10:04:43.1165149Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /invocations, Methods: POST 2025-12-04T10:04:43.1165664Z (APIServer pid=80609) INFO 12-04 10:04:43 [launcher.py:46] Route: /metrics, Methods: GET 2025-12-04T10:04:43.1310843Z (APIServer pid=80609) INFO: Started server process [80609] 2025-12-04T10:04:43.1312026Z (APIServer pid=80609) INFO: Waiting for application startup. 2025-12-04T10:04:43.3519633Z (APIServer pid=80609) INFO: Application startup complete. 2025-12-04T10:04:43.6196649Z (APIServer pid=80609) INFO: 127.0.0.1:45054 - "GET /health HTTP/1.1" 200 OK 2025-12-04T10:04:43.6286263Z (APIServer pid=80609) INFO: 127.0.0.1:45062 - "GET /v1/models HTTP/1.1" 200 OK 2025-12-04T10:04:43.9240426Z (APIServer pid=80609) INFO: 127.0.0.1:45062 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:04:44.0421627Z (APIServer pid=80609) INFO: 127.0.0.1:45062 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:04:44.1981912Z (APIServer pid=80609) INFO: 127.0.0.1:45062 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:04:44.3549228Z (APIServer pid=80609) INFO: 127.0.0.1:45062 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:04:44.4788662Z (APIServer pid=80609) INFO: 127.0.0.1:45062 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:04:44.4868070Z (APIServer pid=80609) INFO: 127.0.0.1:45062 - "POST /v1/completions HTTP/1.1" 200 OK 2025-12-04T10:04:44.6387484Z (APIServer pid=80609) INFO 12-04 10:04:44 [launcher.py:110] Shutting down FastAPI HTTP server. 2025-12-04T10:04:44.6392689Z (Worker_TP0 pid=80851) INFO 12-04 10:04:44 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T10:04:44.6395290Z (Worker_TP0 pid=80851) INFO 12-04 10:04:44 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T10:04:44.6397222Z (Worker_TP1 pid=80852) INFO 12-04 10:04:44 [multiproc_executor.py:583] Parent process exited, terminating worker 2025-12-04T10:04:44.6398269Z (Worker_TP1 pid=80852) INFO 12-04 10:04:44 [multiproc_executor.py:624] WorkerProc shutting down. 2025-12-04T10:04:46.7585281Z (APIServer pid=80609) INFO: Shutting down 2025-12-04T10:04:46.8587804Z (APIServer pid=80609) INFO: Waiting for application shutdown. 2025-12-04T10:04:46.8589320Z (APIServer pid=80609) INFO: Application shutdown complete. 2025-12-04T10:04:47.4754810Z PASSED 2025-12-04T10:04:47.4755166Z 2025-12-04T10:04:47.4755670Z =============================== warnings summary =============================== 2025-12-04T10:04:47.4771783Z ../../../../../../opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/_script.py:362: 14 warnings 2025-12-04T10:04:47.4777712Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/_script.py:362: DeprecationWarning: `torch.jit.script_method` is deprecated. Please switch to `torch.compile` or `torch.export`. 2025-12-04T10:04:47.4779140Z warnings.warn( 2025-12-04T10:04:47.4779250Z 2025-12-04T10:04:47.4779351Z :488 2025-12-04T10:04:47.4779762Z :488: DeprecationWarning: builtin type SwigPyPacked has no __module__ attribute 2025-12-04T10:04:47.4780110Z 2025-12-04T10:04:47.4780206Z :488 2025-12-04T10:04:47.4780615Z :488: DeprecationWarning: builtin type SwigPyObject has no __module__ attribute 2025-12-04T10:04:47.4780951Z 2025-12-04T10:04:47.4781209Z ../../../../../../opt/conda/envs/py_3.12/lib/python3.12/site-packages/schemathesis/generation/coverage.py:305 2025-12-04T10:04:47.4782391Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/schemathesis/generation/coverage.py:305: DeprecationWarning: jsonschema.exceptions.RefResolutionError is deprecated as of version 4.18.0. If you wish to catch potential reference resolution errors, directly catch referencing.exceptions.Unresolvable. 2025-12-04T10:04:47.4783463Z ref_error: type[Exception] = jsonschema.RefResolutionError, 2025-12-04T10:04:47.4783688Z 2025-12-04T10:04:47.4783818Z tests/distributed/test_sequence_parallel.py: 20 warnings 2025-12-04T10:04:47.4784455Z /var/lib/jenkins/workspace/vllm/tests/utils.py:872: DeprecationWarning: This process (pid=1072) is multi-threaded, use of fork() may lead to deadlocks in the child. 2025-12-04T10:04:47.4785043Z pid = os.fork() 2025-12-04T10:04:47.4785148Z 2025-12-04T10:04:47.4785332Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2025-12-04T10:04:47.4785930Z ================= 20 passed, 37 warnings in 1979.27s (0:32:59) ================= 2025-12-04T10:04:47.7345337Z sys:1: DeprecationWarning: builtin type swigvarlink has no __module__ attribute 2025-12-04T10:04:48.8234166Z 2025-12-04 10:04:48,822 [INFO] cli.lib.core.vllm.lib: Finish running step: pytest -v -s distributed/test_sequence_parallel.py 2025-12-04T10:04:48.8235461Z 2025-12-04 10:04:48,822 [INFO] cli.lib.core.vllm.lib: Done. All tests passed 2025-12-04T10:04:48.8236458Z 2025-12-04 10:04:48,822 [INFO] cli.lib.core.vllm.vllm_test: Double check installed packages 2025-12-04T10:04:48.8240929Z 2025-12-04 10:04:48,823 [INFO] cli.lib.common.pip_helper: torch already exist with version: 2.10.0a0+gitffd9b0f 2025-12-04T10:04:48.8243730Z 2025-12-04 10:04:48,824 [INFO] cli.lib.common.pip_helper: xformers already exist with version: 0.0.34+3f91ad6f.d20251204 2025-12-04T10:04:48.8247003Z 2025-12-04 10:04:48,824 [INFO] cli.lib.common.pip_helper: torchvision already exist with version: 0.25.0a0+617079d 2025-12-04T10:04:48.8250488Z 2025-12-04 10:04:48,824 [INFO] cli.lib.common.pip_helper: torchaudio already exist with version: 2.10.0a0+e90a398 2025-12-04T10:04:48.8255945Z 2025-12-04 10:04:48,825 [INFO] cli.lib.common.pip_helper: vllm already exist with version: 0.11.0rc2.dev389+ge51928192.d20251204 2025-12-04T10:04:48.8256489Z 2025-12-04 10:04:48,825 [INFO] cli.lib.core.vllm.vllm_test: Done. checked installed packages 2025-12-04T10:04:48.8490706Z + sccache_epilogue 2025-12-04T10:04:48.8494478Z + echo '::group::Sccache Compilation Log' 2025-12-04T10:04:48.8495187Z ##[group]Sccache Compilation Log 2025-12-04T10:04:48.8495511Z + echo '=================== sccache compilation log ===================' 2025-12-04T10:04:48.8495891Z =================== sccache compilation log =================== 2025-12-04T10:04:48.8496465Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T10:04:48.8780430Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T10:04:48.8781075Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T10:04:48.8781502Z + sccache --show-stats 2025-12-04T10:04:48.8825125Z Compile requests 20 2025-12-04T10:04:48.8826128Z Compile requests executed 4 2025-12-04T10:04:48.8826669Z Cache hits 4 2025-12-04T10:04:48.8827218Z Cache hits (C/C++) 4 2025-12-04T10:04:48.8827734Z Cache misses 0 2025-12-04T10:04:48.8828248Z Cache hits rate 100.00 % 2025-12-04T10:04:48.8828903Z Cache hits rate (C/C++) 100.00 % 2025-12-04T10:04:48.8829508Z Cache timeouts 0 2025-12-04T10:04:48.8830099Z Cache read errors 0 2025-12-04T10:04:48.8830672Z Forced recaches 0 2025-12-04T10:04:48.8831255Z Cache write errors 0 2025-12-04T10:04:48.8831834Z Cache errors 0 2025-12-04T10:04:48.8832426Z Compilations 0 2025-12-04T10:04:48.8833012Z Compilation failures 0 2025-12-04T10:04:48.8833627Z Non-cacheable compilations 0 2025-12-04T10:04:48.8834254Z Non-cacheable calls 0 2025-12-04T10:04:48.8834574Z Non-compilation calls 16 2025-12-04T10:04:48.8834836Z Unsupported compiler calls 0 2025-12-04T10:04:48.8835124Z Average cache write 0.000 s 2025-12-04T10:04:48.8835354Z Average compiler 0.000 s 2025-12-04T10:04:48.8835580Z Average cache read hit 0.065 s 2025-12-04T10:04:48.8835812Z Failed distributed compilations 0 2025-12-04T10:04:48.8836130Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T10:04:48.8836459Z Version (client) 0.10.0 2025-12-04T10:04:48.8836688Z + sccache --stop-server 2025-12-04T10:04:48.8856248Z Stopping sccache server... 2025-12-04T10:04:48.8860059Z Compile requests 20 2025-12-04T10:04:48.8860663Z Compile requests executed 4 2025-12-04T10:04:48.8861189Z Cache hits 4 2025-12-04T10:04:48.8861679Z Cache hits (C/C++) 4 2025-12-04T10:04:48.8862216Z Cache misses 0 2025-12-04T10:04:48.8862724Z Cache hits rate 100.00 % 2025-12-04T10:04:48.8863252Z Cache hits rate (C/C++) 100.00 % 2025-12-04T10:04:48.8863752Z Cache timeouts 0 2025-12-04T10:04:48.8864249Z Cache read errors 0 2025-12-04T10:04:48.8864760Z Forced recaches 0 2025-12-04T10:04:48.8865248Z Cache write errors 0 2025-12-04T10:04:48.8865739Z Cache errors 0 2025-12-04T10:04:48.8866244Z Compilations 0 2025-12-04T10:04:48.8866744Z Compilation failures 0 2025-12-04T10:04:48.8867265Z Non-cacheable compilations 0 2025-12-04T10:04:48.8867800Z Non-cacheable calls 0 2025-12-04T10:04:48.8868305Z Non-compilation calls 16 2025-12-04T10:04:48.8868831Z Unsupported compiler calls 0 2025-12-04T10:04:48.8869375Z Average cache write 0.000 s 2025-12-04T10:04:48.8869871Z Average compiler 0.000 s 2025-12-04T10:04:48.8870150Z Average cache read hit 0.065 s 2025-12-04T10:04:48.8870496Z Failed distributed compilations 0 2025-12-04T10:04:48.8870817Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T10:04:48.8871145Z Version (client) 0.10.0 2025-12-04T10:04:48.8871377Z + echo ::endgroup:: 2025-12-04T10:04:48.8871690Z ##[endgroup] 2025-12-04T10:04:48.8871858Z + cleanup_workspace 2025-12-04T10:04:48.8872215Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T10:04:48.8872773Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T10:04:48.8873221Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T10:04:48.8873549Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T10:04:48.8874003Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T10:04:48.8874421Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T10:04:48.8874758Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T10:04:49.9036795Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T10:04:49.9037212Z with: 2025-12-04T10:04:49.9037409Z benchmark-results-dir: test/test-reports 2025-12-04T10:04:49.9037660Z dry-run: false 2025-12-04T10:04:49.9037833Z schema-version: v3 2025-12-04T10:04:49.9038205Z github-token: *** 2025-12-04T10:04:49.9038389Z env: 2025-12-04T10:04:49.9038548Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:04:49.9038771Z HAS_NVIDIA_GPU: true 2025-12-04T10:04:49.9039085Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:04:49.9039531Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:04:49.9039898Z ##[endgroup] 2025-12-04T10:04:49.9056049Z ##[group]Run set -eux 2025-12-04T10:04:49.9056269Z set -eux 2025-12-04T10:04:49.9056458Z  2025-12-04T10:04:49.9056630Z if [[ -n "" ]]; then 2025-12-04T10:04:49.9056840Z  source "" 2025-12-04T10:04:49.9057054Z fi 2025-12-04T10:04:49.9057315Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T10:04:49.9057639Z  2025-12-04T10:04:49.9057813Z DEVICE_NAME="" 2025-12-04T10:04:49.9058007Z DEVICE_TYPE="" 2025-12-04T10:04:49.9058189Z  2025-12-04T10:04:49.9058370Z if command -v nvidia-smi; then 2025-12-04T10:04:49.9058969Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T10:04:49.9059507Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T10:04:49.9059900Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T10:04:49.9060218Z  python3 -mpip install torch==2.7.1 2025-12-04T10:04:49.9060468Z elif command -v rocminfo; then 2025-12-04T10:04:49.9060786Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T10:04:49.9061198Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T10:04:49.9061613Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T10:04:49.9061957Z  # GPU device name coming from rocminfo instead 2025-12-04T10:04:49.9062206Z  DEVICE_NAME=rocm 2025-12-04T10:04:49.9062545Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T10:04:49.9062889Z fi 2025-12-04T10:04:49.9063038Z  2025-12-04T10:04:49.9063228Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T10:04:49.9063509Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T10:04:49.9076269Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:04:49.9076543Z env: 2025-12-04T10:04:49.9076699Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:04:49.9076995Z HAS_NVIDIA_GPU: true 2025-12-04T10:04:49.9077223Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:04:49.9077614Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:04:49.9077964Z ##[endgroup] 2025-12-04T10:04:49.9121562Z + [[ -n '' ]] 2025-12-04T10:04:49.9122234Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T10:04:50.1290398Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T10:04:51.2284967Z Collecting boto3==1.35.33 2025-12-04T10:04:51.2467138Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T10:04:51.5519466Z Collecting psutil==7.0.0 2025-12-04T10:04:51.5587445Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-12-04T10:04:51.5889431Z Collecting pynvml==12.0.0 2025-12-04T10:04:51.5934193Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T10:04:51.6016186Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-12-04T10:04:52.7422110Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T10:04:52.7465616Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T10:04:52.9115008Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T10:04:52.9156514Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T10:04:52.9590843Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T10:04:52.9628596Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T10:04:52.9711804Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-12-04T10:04:52.9717168Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-12-04T10:04:53.1221607Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-12-04T10:04:53.2369209Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T10:04:53.7620455Z Attempting uninstall: nvidia-ml-py 2025-12-04T10:04:53.7621590Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T10:04:53.7635187Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T10:04:53.7855681Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T10:04:53.8379378Z Attempting uninstall: psutil 2025-12-04T10:04:53.8381009Z Found existing installation: psutil 5.9.8 2025-12-04T10:04:53.8462076Z Uninstalling psutil-5.9.8: 2025-12-04T10:04:53.8468764Z Successfully uninstalled psutil-5.9.8 2025-12-04T10:04:53.9996844Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-12-04T10:04:54.0957560Z + DEVICE_NAME= 2025-12-04T10:04:54.0958011Z + DEVICE_TYPE= 2025-12-04T10:04:54.0958416Z + command -v nvidia-smi 2025-12-04T10:04:54.0958961Z + python3 -mpip install torch==2.7.1 2025-12-04T10:04:54.0959644Z /usr/bin/nvidia-smi 2025-12-04T10:04:54.3148571Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T10:04:54.5667131Z Collecting torch==2.7.1 2025-12-04T10:04:54.5830452Z Downloading torch-2.7.1-cp39-cp39-manylinux_2_28_x86_64.whl (821.1 MB) 2025-12-04T10:05:06.7512611Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-12-04T10:05:06.7557463Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-12-04T10:05:06.9650821Z Requirement already satisfied: jinja2 in /usr/lib/python3.9/site-packages (from torch==2.7.1) (2.11.3) 2025-12-04T10:05:07.0129202Z Collecting filelock 2025-12-04T10:05:07.0167315Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-12-04T10:05:07.0351633Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-12-04T10:05:07.0418274Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-12-04T10:05:07.0546749Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from torch==2.7.1) (4.15.0) 2025-12-04T10:05:07.0924405Z Collecting sympy>=1.13.3 2025-12-04T10:05:07.0966851Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-12-04T10:05:07.1850089Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-12-04T10:05:07.1926982Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-12-04T10:05:07.2877179Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-12-04T10:05:07.2945102Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-12-04T10:05:09.5850009Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-12-04T10:05:09.5893677Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-12-04T10:05:11.1046640Z Collecting networkx 2025-12-04T10:05:11.1089736Z Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB) 2025-12-04T10:05:11.1544889Z Collecting nvidia-nccl-cu12==2.26.2 2025-12-04T10:05:11.1588847Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-12-04T10:05:13.4120604Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-12-04T10:05:13.4181841Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-12-04T10:05:14.9403670Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-12-04T10:05:14.9448499Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-12-04T10:05:22.9732417Z Collecting nvidia-curand-cu12==10.3.7.77 2025-12-04T10:05:22.9777676Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-12-04T10:05:23.5107608Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-12-04T10:05:23.5149288Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-12-04T10:05:23.6918479Z Collecting nvidia-nvtx-cu12==12.6.77 2025-12-04T10:05:23.6959954Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-12-04T10:05:23.7256200Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-12-04T10:05:23.7402453Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-12-04T10:05:23.7909319Z Collecting triton==3.3.1 2025-12-04T10:05:23.7988641Z Downloading triton-3.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-12-04T10:05:25.3158211Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-12-04T10:05:25.3221189Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-12-04T10:05:30.5849589Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-12-04T10:05:30.5912344Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-12-04T10:05:33.0576241Z Collecting fsspec 2025-12-04T10:05:33.0616347Z Downloading fsspec-2025.10.0-py3-none-any.whl (200 kB) 2025-12-04T10:05:33.0910295Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3.9/site-packages (from triton==3.3.1->torch==2.7.1) (59.6.0) 2025-12-04T10:05:33.1179761Z Collecting mpmath<1.4,>=1.1.0 2025-12-04T10:05:33.1216195Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-12-04T10:05:33.2008231Z Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib64/python3.9/site-packages (from jinja2->torch==2.7.1) (1.1.1) 2025-12-04T10:05:33.5013762Z Installing collected packages: nvidia-nvjitlink-cu12, nvidia-cusparse-cu12, nvidia-cublas-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nccl-cu12, nvidia-cusparselt-cu12, nvidia-cusolver-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, networkx, fsspec, filelock, torch 2025-12-04T10:05:41.1773635Z WARNING: The scripts proton and proton-viewer are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T10:05:41.1777895Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T10:05:44.6283628Z WARNING: The script isympy is installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T10:05:44.6285153Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T10:06:10.8426720Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T10:06:10.8428358Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T10:06:11.1517993Z Successfully installed filelock-3.19.1 fsspec-2025.10.0 mpmath-1.3.0 networkx-3.2.1 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1 2025-12-04T10:06:11.6583766Z + echo DEVICE_NAME= 2025-12-04T10:06:11.6584595Z + echo DEVICE_TYPE= 2025-12-04T10:06:11.6612436Z ##[group]Run set -eux 2025-12-04T10:06:11.6612659Z set -eux 2025-12-04T10:06:11.6612829Z  2025-12-04T10:06:11.6613027Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T10:06:11.6613529Z  echo "Missing github-token input" 2025-12-04T10:06:11.6613775Z  exit 1 2025-12-04T10:06:11.6613933Z fi 2025-12-04T10:06:11.6625256Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:11.6625564Z env: 2025-12-04T10:06:11.6625726Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:11.6625934Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:11.6626185Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:11.6626670Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:11.6627105Z DEVICE_NAME: 2025-12-04T10:06:11.6627298Z DEVICE_TYPE: 2025-12-04T10:06:11.6627715Z GITHUB_TOKEN: *** 2025-12-04T10:06:11.6627923Z ##[endgroup] 2025-12-04T10:06:11.6662148Z + [[ -z *** ]] 2025-12-04T10:06:11.6727111Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T10:06:11.6727438Z with: 2025-12-04T10:06:11.6727716Z github-token: *** 2025-12-04T10:06:11.6727889Z env: 2025-12-04T10:06:11.6728055Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:11.6728275Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:11.6728507Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:11.6728931Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:11.6729317Z DEVICE_NAME: 2025-12-04T10:06:11.6729484Z DEVICE_TYPE: 2025-12-04T10:06:11.6729641Z ##[endgroup] 2025-12-04T10:06:11.6851592Z ##[group]Run set -eux 2025-12-04T10:06:11.6851831Z set -eux 2025-12-04T10:06:11.6852021Z  2025-12-04T10:06:11.6852382Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T10:06:11.6860634Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:11.6860931Z env: 2025-12-04T10:06:11.6861092Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:11.6861296Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:11.6861525Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:11.6861925Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:11.6862302Z DEVICE_NAME: 2025-12-04T10:06:11.6862467Z DEVICE_TYPE: 2025-12-04T10:06:11.6862876Z GITHUB_TOKEN: *** 2025-12-04T10:06:11.6863061Z ##[endgroup] 2025-12-04T10:06:11.6899346Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922031852 i-08ccd78ef7edeaec7 2025-12-04T10:06:12.7680146Z setting job-id=57118543793 2025-12-04T10:06:12.7681278Z setting job-name=ci-vllm-test / test (vllm_distributed_test_28_failure_test, 1, 1, linux.g6.12xlarge.nvidia.gpu, unstable) 2025-12-04T10:06:12.7797763Z ##[group]Run set -eux 2025-12-04T10:06:12.7797984Z set -eux 2025-12-04T10:06:12.7798140Z  2025-12-04T10:06:12.7798302Z if [[ -n "" ]]; then 2025-12-04T10:06:12.7798506Z  source "" 2025-12-04T10:06:12.7798667Z fi 2025-12-04T10:06:12.7798818Z  2025-12-04T10:06:12.7799091Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T10:06:12.7799556Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T10:06:12.7799819Z  --repo "${REPO}" \ 2025-12-04T10:06:12.7800252Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T10:06:12.7800503Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T10:06:12.7800736Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T10:06:12.7801005Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T10:06:12.7801240Z  --job-id "${JOB_ID}" \ 2025-12-04T10:06:12.7801444Z  --job-name "${JOB_NAME}" 2025-12-04T10:06:12.7808791Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:12.7809079Z env: 2025-12-04T10:06:12.7809241Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:12.7809427Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:12.7809651Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:12.7810050Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:12.7810403Z DEVICE_NAME: 2025-12-04T10:06:12.7810580Z DEVICE_TYPE: 2025-12-04T10:06:12.7810746Z SCHEMA_VERSION: v3 2025-12-04T10:06:12.7810923Z REPO: pytorch/pytorch 2025-12-04T10:06:12.7811125Z HEAD_BRANCH: refs/heads/main 2025-12-04T10:06:12.7811365Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T10:06:12.7811623Z WORKFLOW_RUN_ID: 19922031852 2025-12-04T10:06:12.7811810Z RUN_ATTEMPT: 1 2025-12-04T10:06:12.7811972Z JOB_ID: 57118543793 2025-12-04T10:06:12.7812344Z JOB_NAME: ci-vllm-test / test (vllm_distributed_test_28_failure_test, 1, 1, linux.g6.12xlarge.nvidia.gpu, unstable) 2025-12-04T10:06:12.7812831Z ##[endgroup] 2025-12-04T10:06:12.7849559Z + [[ -n '' ]] 2025-12-04T10:06:12.7853125Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 --workflow-id 19922031852 --run-attempt 1 --job-id 57118543793 --job-name 'ci-vllm-test / test (vllm_distributed_test_28_failure_test, 1, 1, linux.g6.12xlarge.nvidia.gpu, unstable)' 2025-12-04T10:06:12.8304568Z ##[group]Run set -eux 2025-12-04T10:06:12.8304777Z set -eux 2025-12-04T10:06:12.8304943Z  2025-12-04T10:06:12.8305097Z if [[ -n "" ]]; then 2025-12-04T10:06:12.8305299Z  source "" 2025-12-04T10:06:12.8305470Z fi 2025-12-04T10:06:12.8305620Z  2025-12-04T10:06:12.8305908Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T10:06:12.8314420Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:12.8314713Z env: 2025-12-04T10:06:12.8314874Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:12.8315068Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:12.8315297Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:12.8315700Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:12.8316200Z DEVICE_NAME: 2025-12-04T10:06:12.8316361Z DEVICE_TYPE: 2025-12-04T10:06:12.8316538Z ##[endgroup] 2025-12-04T10:06:12.8349441Z + [[ -n '' ]] 2025-12-04T10:06:12.8365077Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T10:06:13.6824405Z /home/ec2-user/.local/lib/python3.9/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-12-04T10:06:13.6826574Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T10:06:14.9343322Z ##[group]Run set -eux 2025-12-04T10:06:14.9343530Z set -eux 2025-12-04T10:06:14.9343696Z  2025-12-04T10:06:14.9343890Z # TODO (huydhn): Implement this part 2025-12-04T10:06:14.9344175Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T10:06:14.9352129Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:14.9352600Z env: 2025-12-04T10:06:14.9352789Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:14.9352991Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:14.9353233Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:14.9353639Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:14.9353999Z DEVICE_NAME: 2025-12-04T10:06:14.9354167Z DEVICE_TYPE: 2025-12-04T10:06:14.9354336Z ##[endgroup] 2025-12-04T10:06:14.9385068Z + echo 'dependencies={}' 2025-12-04T10:06:14.9466203Z ##[group]Run set -eux 2025-12-04T10:06:14.9466426Z set -eux 2025-12-04T10:06:14.9466593Z  2025-12-04T10:06:14.9466753Z if [[ -n "" ]]; then 2025-12-04T10:06:14.9466948Z  source "" 2025-12-04T10:06:14.9467122Z fi 2025-12-04T10:06:14.9467278Z  2025-12-04T10:06:14.9467469Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T10:06:14.9467841Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T10:06:14.9468208Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T10:06:14.9468500Z  exit 0 2025-12-04T10:06:14.9468658Z fi 2025-12-04T10:06:14.9468809Z  2025-12-04T10:06:14.9468983Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T10:06:14.9469337Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T10:06:14.9469754Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T10:06:14.9470187Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T10:06:14.9470448Z  --runners "${RUNNER_INFO}" \ 2025-12-04T10:06:14.9470693Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T10:06:14.9470935Z  --dry-run 2025-12-04T10:06:14.9471117Z else 2025-12-04T10:06:14.9471383Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T10:06:14.9471816Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T10:06:14.9472138Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T10:06:14.9472392Z  --runners "${RUNNER_INFO}" \ 2025-12-04T10:06:14.9472649Z  --dependencies "${DEPENDENCIES}" 2025-12-04T10:06:14.9472886Z fi 2025-12-04T10:06:14.9481019Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:14.9481307Z env: 2025-12-04T10:06:14.9481472Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:14.9481674Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:14.9481898Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:14.9482314Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:14.9482678Z DEVICE_NAME: 2025-12-04T10:06:14.9482838Z DEVICE_TYPE: 2025-12-04T10:06:14.9483022Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T10:06:14.9483367Z DRY_RUN: false 2025-12-04T10:06:14.9484403Z BENCHMARK_METADATA: {"timestamp": 1764842772, "schema_version": "v3", "name": "ci-vllm-test / test (vllm_distributed_test_28_failure_test, 1, 1, linux.g6.12xlarge.nvidia.gpu, unstable)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922031852, "run_attempt": 1, "job_id": 57118543793} 2025-12-04T10:06:14.9485804Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 48, "avail_mem_in_gb": 181, "extra_info": {"hostname": "ip-10-0-7-121.ec2.internal"}, "name": "cuda", "type": "NVIDIA L4", "gpu_count": 4, "avail_gpu_mem_in_gb": 88}] 2025-12-04T10:06:14.9486361Z DEPENDENCIES: {} 2025-12-04T10:06:14.9486532Z ##[endgroup] 2025-12-04T10:06:14.9521509Z + [[ -n '' ]] 2025-12-04T10:06:14.9522036Z test/test-reports does not exist, skipping 2025-12-04T10:06:14.9522708Z + [[ ! -d test/test-reports ]] 2025-12-04T10:06:14.9523426Z + echo 'test/test-reports does not exist, skipping' 2025-12-04T10:06:14.9524043Z + exit 0 2025-12-04T10:06:14.9631240Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T10:06:14.9631575Z cat test/**/*_toprint.log || true 2025-12-04T10:06:14.9639367Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:14.9639648Z env: 2025-12-04T10:06:14.9639812Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:14.9639999Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:14.9640238Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:14.9640641Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:14.9641019Z DEVICE_NAME: 2025-12-04T10:06:14.9641180Z DEVICE_TYPE: 2025-12-04T10:06:14.9641341Z ##[endgroup] 2025-12-04T10:06:14.9739569Z cat: 'test/**/*_toprint.log': No such file or directory 2025-12-04T10:06:14.9784236Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T10:06:14.9784529Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T10:06:14.9791498Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:14.9791785Z env: 2025-12-04T10:06:14.9791946Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:14.9792147Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:14.9792383Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:14.9792790Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:14.9793152Z DEVICE_NAME: 2025-12-04T10:06:14.9793319Z DEVICE_TYPE: 2025-12-04T10:06:14.9793490Z MONITOR_SCRIPT_PID: 66809 2025-12-04T10:06:14.9793798Z ##[endgroup] 2025-12-04T10:06:14.9821682Z /home/ec2-user/actions-runner/_work/_temp/2e59dd15-6ac9-4b88-bdef-acde0d90aff8.sh: line 1: kill: (66809) - No such process 2025-12-04T10:06:14.9834771Z ##[error]Process completed with exit code 1. 2025-12-04T10:06:14.9938027Z Prepare all required actions 2025-12-04T10:06:14.9938384Z Getting action download info 2025-12-04T10:06:15.1725917Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T10:06:15.9419970Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T10:06:20.4960467Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T10:06:20.4960729Z with: 2025-12-04T10:06:20.4961077Z file-suffix: test-vllm_distributed_test_28_failure_test-1-1-linux.g6.12xlarge.nvidia.gpu_57118543793 2025-12-04T10:06:20.4961480Z s3-bucket: gha-artifacts 2025-12-04T10:06:20.4961664Z env: 2025-12-04T10:06:20.4961818Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:20.4962028Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:20.4962253Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:20.4962675Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:20.4963033Z DEVICE_NAME: 2025-12-04T10:06:20.4963199Z DEVICE_TYPE: 2025-12-04T10:06:20.4963359Z ##[endgroup] 2025-12-04T10:06:20.5208045Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T10:06:20.5208571Z # Remove any previous test jsons if they exist 2025-12-04T10:06:20.5208846Z rm -f test-jsons-*.zip 2025-12-04T10:06:20.5209158Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T10:06:20.5217200Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:20.5217471Z env: 2025-12-04T10:06:20.5217627Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:20.5217818Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:20.5218039Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:20.5218451Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:20.5218882Z DEVICE_NAME: 2025-12-04T10:06:20.5219039Z DEVICE_TYPE: 2025-12-04T10:06:20.5219380Z FILE_SUFFIX: test-vllm_distributed_test_28_failure_test-1-1-linux.g6.12xlarge.nvidia.gpu_57118543793 2025-12-04T10:06:20.5219763Z ##[endgroup] 2025-12-04T10:06:20.5950905Z zip warning: name not matched: test/test-reports 2025-12-04T10:06:20.5952981Z zip warning: zip file empty 2025-12-04T10:06:20.6050863Z ##[group]Run # Remove any previous test reports if they exist 2025-12-04T10:06:20.6051229Z # Remove any previous test reports if they exist 2025-12-04T10:06:20.6051531Z rm -f test-reports-*.zip 2025-12-04T10:06:20.6051909Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-12-04T10:06:20.6060362Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:20.6060669Z env: 2025-12-04T10:06:20.6060844Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:20.6061056Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:20.6061290Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:20.6061727Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:20.6062100Z DEVICE_NAME: 2025-12-04T10:06:20.6062264Z DEVICE_TYPE: 2025-12-04T10:06:20.6062622Z FILE_SUFFIX: test-vllm_distributed_test_28_failure_test-1-1-linux.g6.12xlarge.nvidia.gpu_57118543793 2025-12-04T10:06:20.6063017Z ##[endgroup] 2025-12-04T10:06:20.6141016Z zip warning: name not matched: test/test-reports 2025-12-04T10:06:20.6142027Z zip warning: zip file empty 2025-12-04T10:06:20.6227895Z ##[group]Run # Remove any previous usage logs if they exist 2025-12-04T10:06:20.6228307Z # Remove any previous usage logs if they exist 2025-12-04T10:06:20.6228590Z rm -f logs-*.zip 2025-12-04T10:06:20.6228865Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-12-04T10:06:20.6229361Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-12-04T10:06:20.6236409Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:20.6236874Z env: 2025-12-04T10:06:20.6237068Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:20.6237281Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:20.6237516Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:20.6237933Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:20.6238312Z DEVICE_NAME: 2025-12-04T10:06:20.6238481Z DEVICE_TYPE: 2025-12-04T10:06:20.6238836Z FILE_SUFFIX: test-vllm_distributed_test_28_failure_test-1-1-linux.g6.12xlarge.nvidia.gpu_57118543793 2025-12-04T10:06:20.6239304Z ##[endgroup] 2025-12-04T10:06:20.6315060Z adding: usage_log.txt (deflated 58%) 2025-12-04T10:06:20.6330460Z zip warning: name not matched: test/test-reports 2025-12-04T10:06:20.6330727Z 2025-12-04T10:06:20.6331137Z zip error: Nothing to do! (logs-test-vllm_distributed_test_28_failure_test-1-1-linux.g6.12xlarge.nvidia.gpu_57118543793.zip) 2025-12-04T10:06:20.6390984Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T10:06:20.6391524Z # Remove any previous debugging artifacts if they exist 2025-12-04T10:06:20.6391821Z rm -f debug-*.zip 2025-12-04T10:06:20.6392034Z if [ -d 'test/debug' ]; then 2025-12-04T10:06:20.6392438Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T10:06:20.6392678Z fi 2025-12-04T10:06:20.6399952Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:20.6400250Z env: 2025-12-04T10:06:20.6400410Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:20.6400607Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:20.6400836Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:20.6401229Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:20.6401606Z DEVICE_NAME: 2025-12-04T10:06:20.6401774Z DEVICE_TYPE: 2025-12-04T10:06:20.6402106Z FILE_SUFFIX: test-vllm_distributed_test_28_failure_test-1-1-linux.g6.12xlarge.nvidia.gpu_57118543793 2025-12-04T10:06:20.6402501Z ##[endgroup] 2025-12-04T10:06:20.6510852Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:06:20.6511099Z with: 2025-12-04T10:06:20.6511272Z s3-bucket: gha-artifacts 2025-12-04T10:06:20.6511510Z s3-prefix: pytorch/pytorch/19922031852/1/artifact 2025-12-04T10:06:20.6511757Z retention-days: 14 2025-12-04T10:06:20.6511932Z if-no-files-found: warn 2025-12-04T10:06:20.6512116Z path: test-jsons-*.zip 2025-12-04T10:06:20.6512297Z name: artifact 2025-12-04T10:06:20.6512482Z region: us-east-1 2025-12-04T10:06:20.6512642Z env: 2025-12-04T10:06:20.6512793Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:20.6512980Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:20.6513211Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:20.6513819Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:20.6514180Z DEVICE_NAME: 2025-12-04T10:06:20.6514340Z DEVICE_TYPE: 2025-12-04T10:06:20.6514491Z ##[endgroup] 2025-12-04T10:06:21.1205016Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:06:21.1205841Z With the provided path, there will be 1 file uploaded 2025-12-04T10:06:21.1206632Z Uploading to s3 prefix: pytorch/pytorch/19922031852/1/artifact 2025-12-04T10:06:21.1275217Z Starting upload of test-jsons-test-vllm_distributed_test_28_failure_test-1-1-linux.g6.12xlarge.nvidia.gpu_57118543793.zip 2025-12-04T10:06:21.2314753Z Finished upload of test-jsons-test-vllm_distributed_test_28_failure_test-1-1-linux.g6.12xlarge.nvidia.gpu_57118543793.zip 2025-12-04T10:06:21.2555475Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:06:21.2555732Z with: 2025-12-04T10:06:21.2555903Z s3-bucket: gha-artifacts 2025-12-04T10:06:21.2556145Z s3-prefix: pytorch/pytorch/19922031852/1/artifact 2025-12-04T10:06:21.2556541Z retention-days: 14 2025-12-04T10:06:21.2556731Z if-no-files-found: error 2025-12-04T10:06:21.2556936Z path: test-reports-*.zip 2025-12-04T10:06:21.2557124Z name: artifact 2025-12-04T10:06:21.2557481Z region: us-east-1 2025-12-04T10:06:21.2557651Z env: 2025-12-04T10:06:21.2557810Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:21.2558004Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:21.2558246Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:21.2558669Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:21.2559027Z DEVICE_NAME: 2025-12-04T10:06:21.2559318Z DEVICE_TYPE: 2025-12-04T10:06:21.2559480Z ##[endgroup] 2025-12-04T10:06:21.8286646Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:06:21.8287445Z With the provided path, there will be 1 file uploaded 2025-12-04T10:06:21.8288244Z Uploading to s3 prefix: pytorch/pytorch/19922031852/1/artifact 2025-12-04T10:06:21.8356271Z Starting upload of test-reports-test-vllm_distributed_test_28_failure_test-1-1-linux.g6.12xlarge.nvidia.gpu_57118543793.zip 2025-12-04T10:06:21.9410693Z Finished upload of test-reports-test-vllm_distributed_test_28_failure_test-1-1-linux.g6.12xlarge.nvidia.gpu_57118543793.zip 2025-12-04T10:06:21.9689177Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:06:21.9689424Z with: 2025-12-04T10:06:21.9689585Z s3-bucket: gha-artifacts 2025-12-04T10:06:21.9689975Z s3-prefix: pytorch/pytorch/19922031852/1/artifact 2025-12-04T10:06:21.9690239Z retention-days: 14 2025-12-04T10:06:21.9690422Z if-no-files-found: ignore 2025-12-04T10:06:21.9690635Z path: logs-*.zip 2025-12-04T10:06:21.9690808Z name: artifact 2025-12-04T10:06:21.9690966Z region: us-east-1 2025-12-04T10:06:21.9691132Z env: 2025-12-04T10:06:21.9691286Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:21.9691490Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:21.9691738Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:21.9692164Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:21.9692526Z DEVICE_NAME: 2025-12-04T10:06:21.9692684Z DEVICE_TYPE: 2025-12-04T10:06:21.9692843Z ##[endgroup] 2025-12-04T10:06:22.2695017Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:06:22.2695442Z With the provided path, there will be 1 file uploaded 2025-12-04T10:06:22.2695860Z Uploading to s3 prefix: pytorch/pytorch/19922031852/1/artifact 2025-12-04T10:06:22.2768475Z Starting upload of logs-test-vllm_distributed_test_28_failure_test-1-1-linux.g6.12xlarge.nvidia.gpu_57118543793.zip 2025-12-04T10:06:22.4020819Z Finished upload of logs-test-vllm_distributed_test_28_failure_test-1-1-linux.g6.12xlarge.nvidia.gpu_57118543793.zip 2025-12-04T10:06:22.4299464Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:06:22.4299729Z with: 2025-12-04T10:06:22.4299899Z s3-bucket: gha-artifacts 2025-12-04T10:06:22.4300153Z s3-prefix: pytorch/pytorch/19922031852/1/artifact 2025-12-04T10:06:22.4300425Z retention-days: 14 2025-12-04T10:06:22.4300616Z if-no-files-found: ignore 2025-12-04T10:06:22.4300817Z path: debug-*.zip 2025-12-04T10:06:22.4300996Z name: artifact 2025-12-04T10:06:22.4301164Z region: us-east-1 2025-12-04T10:06:22.4301337Z env: 2025-12-04T10:06:22.4301495Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:22.4301693Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:22.4301921Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:22.4302333Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:22.4302692Z DEVICE_NAME: 2025-12-04T10:06:22.4302850Z DEVICE_TYPE: 2025-12-04T10:06:22.4303007Z ##[endgroup] 2025-12-04T10:06:22.7236355Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T10:06:22.7520870Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T10:06:22.7521218Z # shellcheck disable=SC2156 2025-12-04T10:06:22.7521660Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T10:06:22.7530441Z shell: /usr/bin/bash -e {0} 2025-12-04T10:06:22.7530659Z env: 2025-12-04T10:06:22.7530823Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:22.7531034Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:22.7531275Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:22.7531689Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:22.7532072Z DEVICE_NAME: 2025-12-04T10:06:22.7532242Z DEVICE_TYPE: 2025-12-04T10:06:22.7532403Z ##[endgroup] 2025-12-04T10:06:23.1558050Z Prepare all required actions 2025-12-04T10:06:23.1558444Z Getting action download info 2025-12-04T10:06:23.3438041Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T10:06:26.3846238Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T10:06:26.3846509Z with: 2025-12-04T10:06:26.3846679Z job_id: 57118543793 2025-12-04T10:06:26.3847059Z job_name: ci-vllm-test / test (vllm_distributed_test_28_failure_test, 1, 1, linux.g6.12xlarge.nvidia.gpu, unstable) 2025-12-04T10:06:26.3847472Z workflow_name: vllm-test 2025-12-04T10:06:26.3847668Z workflow_run_id: 19922031852 2025-12-04T10:06:26.3847869Z workflow_attempt: 1 2025-12-04T10:06:26.3848033Z env: 2025-12-04T10:06:26.3848189Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:26.3848510Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:26.3848745Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:26.3849173Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:26.3849526Z DEVICE_NAME: 2025-12-04T10:06:26.3849692Z DEVICE_TYPE: 2025-12-04T10:06:26.3849850Z ##[endgroup] 2025-12-04T10:06:26.4009501Z ##[group]Run actions/setup-python@v6 2025-12-04T10:06:26.4009721Z with: 2025-12-04T10:06:26.4009880Z python-version: 3.10 2025-12-04T10:06:26.4010063Z check-latest: false 2025-12-04T10:06:26.4010323Z token: *** 2025-12-04T10:06:26.4010501Z update-environment: true 2025-12-04T10:06:26.4010712Z allow-prereleases: false 2025-12-04T10:06:26.4010900Z freethreaded: false 2025-12-04T10:06:26.4011073Z env: 2025-12-04T10:06:26.4011227Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:26.4011402Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:26.4011627Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:26.4012100Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:26.4012461Z DEVICE_NAME: 2025-12-04T10:06:26.4012626Z DEVICE_TYPE: 2025-12-04T10:06:26.4012795Z ##[endgroup] 2025-12-04T10:06:26.6466991Z ##[group]Installed versions 2025-12-04T10:06:26.6475011Z Version 3.10 was not found in the local cache 2025-12-04T10:06:26.6622763Z (node:150853) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T10:06:26.6623676Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T10:06:27.0482395Z ##[error]The version '3.10' with architecture 'x64' was not found for this operating system. The list of all available versions can be found here: https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json 2025-12-04T10:06:27.0701505Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T10:06:27.0701885Z with: 2025-12-04T10:06:27.0702042Z env: 2025-12-04T10:06:27.0702203Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:27.0702399Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:27.0702631Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:27.0703039Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:27.0703400Z DEVICE_NAME: 2025-12-04T10:06:27.0703557Z DEVICE_TYPE: 2025-12-04T10:06:27.0703720Z ##[endgroup] 2025-12-04T10:06:27.0946641Z ##[group]Run set -eou pipefail 2025-12-04T10:06:27.0946889Z set -eou pipefail 2025-12-04T10:06:27.0947212Z  2025-12-04T10:06:27.0947495Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T10:06:27.0947830Z for _ in $(seq 1440); do 2025-12-04T10:06:27.0948105Z  # Break if no ssh session exists anymore 2025-12-04T10:06:27.0948372Z  if [ "$(who)" = "" ]; then 2025-12-04T10:06:27.0948592Z  break 2025-12-04T10:06:27.0948766Z  fi 2025-12-04T10:06:27.0948934Z  echo "." 2025-12-04T10:06:27.0949110Z  sleep 5 2025-12-04T10:06:27.0949293Z done 2025-12-04T10:06:27.0957865Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:27.0958172Z env: 2025-12-04T10:06:27.0958334Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:27.0958525Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:27.0958756Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:27.0959283Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:27.0959650Z DEVICE_NAME: 2025-12-04T10:06:27.0959814Z DEVICE_TYPE: 2025-12-04T10:06:27.0959978Z ##[endgroup] 2025-12-04T10:06:27.0992460Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T10:06:27.2177898Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T10:06:27.2178324Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T10:06:27.2178768Z # shellcheck disable=SC2046 2025-12-04T10:06:27.2179021Z docker stop $(docker ps -q) || true 2025-12-04T10:06:27.2179267Z # Prune all of the docker images 2025-12-04T10:06:27.2179509Z docker system prune -af 2025-12-04T10:06:27.2187525Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:27.2187814Z env: 2025-12-04T10:06:27.2187976Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:27.2188172Z HAS_NVIDIA_GPU: true 2025-12-04T10:06:27.2188398Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:06:27.2188808Z DOCKER_CONTAINER_ID: f5fd83b26a54b4e86bd5c528e67e7549bfaae23a58975f2e95a2c2e65015eb89 2025-12-04T10:06:27.2189179Z DEVICE_NAME: 2025-12-04T10:06:27.2189348Z DEVICE_TYPE: 2025-12-04T10:06:27.2189501Z ##[endgroup] 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