vllm - 💡(How to fix) Fix [Bug]: 使用0.18.0版本vllm-ascend,A3单机部署GLM5,dp2 tp8启动报错

Official PRs (…)
ON THIS PAGE

Recommended Tools

×6

Utilities matched from this issue’s tags and category — try them while you read without losing context.

GitHub issue graph ai analysis

Paste a GitHub issue URL. We fetch that issue, discover linked issues from bodies/comments/timeline, collect linked pull requests, and produce a structured English report.

The report is written in English Markdown for sharing and archival.

Helpful · Quick feedback

Loading…

Error Message

ERROR 05-11 11:39:27 [utils.py:291] Exception occurred while running API servers: Process ApiServer_0 (PID: 359) died with exit code 1 ERROR 05-11 11:39:27 [utils.py:291] Traceback (most recent call last): ERROR 05-11 11:39:27 [utils.py:291] File "/vllm-workspace/vllm/vllm/v1/utils.py", line 278, in wait_for_completion_or_failure ERROR 05-11 11:39:27 [utils.py:291] raise RuntimeError( ERROR 05-11 11:39:27 [utils.py:291] RuntimeError: Process ApiServer_0 (PID: 359) died with exit code 1 Traceback (most recent call last): [ERROR] 2026-05-11-11:39:32 (PID:312, Device:-1, RankID:-1) ERR99999 UNKNOWN applicaiton exception warnings.warn('resource_tracker: There appear to be %d '

Fix Action

Fix / Workaround

============================== CPU Info

Architecture: aarch64 CPU op-mode(s): 64-bit Byte Order: Little Endian CPU(s): 640 On-line CPU(s) list: 0-639 Vendor ID: HiSilicon BIOS Vendor ID: HiSilicon BIOS Model name: Kunpeng 920 7280Z Model: 0 Thread(s) per core: 2 Core(s) per socket: 80 Socket(s): 4 Stepping: 0x0 Frequency boost: disabled CPU max MHz: 2900.0000 CPU min MHz: 400.0000 BogoMIPS: 200.00 Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb dcpodp flagm2 frint svei8mm svef32mm svef64mm svebf16 i8mm bf16 dgh rng ecv L1d cache: 20 MiB (320 instances) L1i cache: 20 MiB (320 instances) L2 cache: 400 MiB (320 instances) L3 cache: 560 MiB (8 instances) NUMA node(s): 8 NUMA node0 CPU(s): 0-79 NUMA node1 CPU(s): 80-159 NUMA node2 CPU(s): 160-239 NUMA node3 CPU(s): 240-319 NUMA node4 CPU(s): 320-399 NUMA node5 CPU(s): 400-479 NUMA node6 CPU(s): 480-559 NUMA node7 CPU(s): 560-639 Vulnerability Gather data sampling: Not affected Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Mmio stale data: Not affected Vulnerability Reg file data sampling: Not affected Vulnerability Retbleed: Not affected Vulnerability Spec rstack overflow: Not affected Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl Vulnerability Spectre v1: Mitigation; __user pointer sanitization Vulnerability Spectre v2: Not affected Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Not affected

报错日志如下: n operator()) [rank6]:[W511 11:38:06.006805438 compiler_depend.ts:207] Warning: Waiting for pending NCCL work to finish before starting graph capture. (function operator()) [rank9]:[W511 11:38:06.008215514 compiler_depend.ts:207] Warning: Waiting for pending NCCL work to finish before starting graph capture. (function operator()) [rank14]:[W511 11:38:06.008481939 compiler_depend.ts:207] Warning: Waiting for pending NCCL work to finish before starting graph capture. (function operator()) Capturing CUDA graphs (decode, FULL): 72%|███████████████████████████████████████████████████ | 18/25 [00:59<00:21, 3.01s/it](EngineCore_DP1 pid=347) INFO 05-11 11:39:02 [shm_broadcast.py:681] 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, weight/kv cache quantization). (EngineCore_DP0 pid=329) INFO 05-11 11:39:02 [shm_broadcast.py:681] 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, weight/kv cache quantization). Capturing CUDA graphs (decode, FULL): 100%|███████████████████████████████████████████████████████████████████████| 25/25 [01:21<00:00, 3.28s/it] (Worker_DP0_TP0_EP0 pid=375) INFO 05-11 11:39:24 [gpu_model_runner.py:5746] Graph capturing finished in 83 secs, took 0.75 GiB (Worker_DP1_TP0_EP8 pid=376) INFO 05-11 11:39:24 [gpu_model_runner.py:5746] Graph capturing finished in 83 secs, took 0.75 GiB (EngineCore_DP0 pid=329) INFO 05-11 11:39:24 [core.py:281] init engine (profile, create kv cache, warmup model) took 124.31 seconds (EngineCore_DP1 pid=347) INFO 05-11 11:39:24 [core.py:281] init engine (profile, create kv cache, warmup model) took 297.26 seconds INFO 05-11 11:39:27 [coordinator.py:205] All engine subscriptions received by DP coordinator (EngineCore_DP0 pid=329) INFO 05-11 11:39:27 [vllm.py:754] Asynchronous scheduling is enabled. (EngineCore_DP1 pid=347) INFO 05-11 11:39:27 [vllm.py:754] Asynchronous scheduling is enabled. (EngineCore_DP0 pid=329) INFO 05-11 11:39:27 [ascend_config.py:426] Dynamic EPLB is False (EngineCore_DP0 pid=329) INFO 05-11 11:39:27 [ascend_config.py:427] The number of redundant experts is 0 (EngineCore_DP0 pid=329) INFO 05-11 11:39:27 [platform.py:393] FULL_DECODE_ONLY compilation enabled on NPU. use_inductor not supported - using only ACL Graph mode (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] ********************************************************************************** (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] * WARNING: You have enabled the full graph feature. (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] * This is an early experimental stage and may involve various unknown issues. (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] * A known problem is that capturing too many batch sizes can lead to OOM (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] * (Out of Memory) errors or inference hangs. If you encounter such issues, (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] * consider reducing gpu_memory_utilization or manually specifying a smaller (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] * batch size for graph capture. (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] * For more details, please refer to: (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] * https://docs.vllm.ai/en/stable/configuration/conserving_memory.html#reduce-cuda-graphs (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] ********************************************************************************** (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] (EngineCore_DP0 pid=329) INFO 05-11 11:39:27 [platform.py:536] Set PYTORCH_NPU_ALLOC_CONF=expandable_segments:True (EngineCore_DP1 pid=347) INFO 05-11 11:39:27 [ascend_config.py:426] Dynamic EPLB is False (EngineCore_DP0 pid=329) INFO 05-11 11:39:27 [compilation.py:289] Enabled custom fusions: norm_quant, act_quant (EngineCore_DP1 pid=347) INFO 05-11 11:39:27 [ascend_config.py:427] The number of redundant experts is 0 (EngineCore_DP1 pid=347) INFO 05-11 11:39:27 [platform.py:393] FULL_DECODE_ONLY compilation enabled on NPU. use_inductor not supported - using only ACL Graph mode (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] ********************************************************************************** (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] * WARNING: You have enabled the full graph feature. (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] * This is an early experimental stage and may involve various unknown issues. (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] * A known problem is that capturing too many batch sizes can lead to OOM (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] * (Out of Memory) errors or inference hangs. If you encounter such issues, (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] * consider reducing gpu_memory_utilization or manually specifying a smaller (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] * batch size for graph capture. (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] * For more details, please refer to: (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] * https://docs.vllm.ai/en/stable/configuration/conserving_memory.html#reduce-cuda-graphs (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] ********************************************************************************** (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] (EngineCore_DP1 pid=347) INFO 05-11 11:39:27 [platform.py:536] Set PYTORCH_NPU_ALLOC_CONF=expandable_segments:True (EngineCore_DP1 pid=347) INFO 05-11 11:39:27 [compilation.py:289] Enabled custom fusions: norm_quant, act_quant INFO 05-11 11:39:27 [utils.py:250] Waiting for API servers to complete ... ERROR 05-11 11:39:27 [utils.py:291] Exception occurred while running API servers: Process ApiServer_0 (PID: 359) died with exit code 1 ERROR 05-11 11:39:27 [utils.py:291] Traceback (most recent call last): ERROR 05-11 11:39:27 [utils.py:291] File "/vllm-workspace/vllm/vllm/v1/utils.py", line 278, in wait_for_completion_or_failure ERROR 05-11 11:39:27 [utils.py:291] raise RuntimeError( ERROR 05-11 11:39:27 [utils.py:291] RuntimeError: Process ApiServer_0 (PID: 359) died with exit code 1 (Worker_DP0_TP1_EP1 pid=416) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP0_EP8 pid=376) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP1_EP9 pid=420) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP0_TP5_EP5 pid=791) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP0_TP4_EP4 pid=699) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP0_TP0_EP0 pid=375) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP0_TP3_EP3 pid=608) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP0_TP2_EP2 pid=515) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP5_EP13 pid=793) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP4_EP12 pid=700) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP0_TP6_EP6 pid=883) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP2_EP10 pid=517) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP3_EP11 pid=607) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP0_TP7_EP7 pid=975) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP6_EP14 pid=885) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP7_EP15 pid=976) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP0_EP8 pid=376) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP0_TP4_EP4 pid=699) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP0_TP1_EP1 pid=416) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP1_TP1_EP9 pid=420) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP0_TP5_EP5 pid=791) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP0_TP6_EP6 pid=883) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP0_TP0_EP0 pid=375) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP0_TP3_EP3 pid=608) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP0_TP2_EP2 pid=515) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP1_TP5_EP13 pid=793) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP1_TP4_EP12 pid=700) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP0_TP7_EP7 pid=975) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP1_TP2_EP10 pid=517) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP1_TP3_EP11 pid=607) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP1_TP7_EP15 pid=976) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP1_TP6_EP14 pid=885) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. Traceback (most recent call last): File "/usr/local/python3.11.14/bin/vllm", line 6, in <module> sys.exit(main()) ^^^^^^ File "/vllm-workspace/vllm/vllm/entrypoints/cli/main.py", line 75, in main args.dispatch_function(args) File "/vllm-workspace/vllm/vllm/entrypoints/cli/serve.py", line 114, in cmd run_multi_api_server(args) File "/vllm-workspace/vllm/vllm/entrypoints/cli/serve.py", line 317, in run_multi_api_server wait_for_completion_or_failure( File "/vllm-workspace/vllm/vllm/v1/utils.py", line 278, in wait_for_completion_or_failure raise RuntimeError( RuntimeError: Process ApiServer_0 (PID: 359) died with exit code 1 [ERROR] 2026-05-11-11:39:32 (PID:312, Device:-1, RankID:-1) ERR99999 UNKNOWN applicaiton exception sys:1: DeprecationWarning: builtin type swigvarlink has no module attribute root@node-02-5:/workspace# /usr/local/python3.11.14/lib/python3.11/multiprocessing/resource_tracker.py:254: UserWarning: resource_tracker: There appear to be 2 leaked shared_memory objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d '

Code Example

Collecting environment information...
==============================
        System Info
==============================
OS                           : Ubuntu 22.04.5 LTS (aarch64)
GCC version                  : (Ubuntu 11.4.0-1ubuntu1~22.04.3) 11.4.0
Clang version                : 15.0.7
CMake version                : version 4.3.2
Libc version                 : glibc-2.35

==============================
       PyTorch Info
==============================
PyTorch version              : 2.9.0+cpu
Is debug build               : False
CUDA used to build PyTorch   : None
ROCM used to build PyTorch   : N/A
XPU used to build PyTorch    : N/A

==============================
      Python Environment
==============================
Python version               : 3.11.14 (main, Feb 26 2026, 03:57:04) [GCC 11.4.0] (64-bit runtime)
Python platform              : Linux-6.6.0-72.0.0.76.oe2403sp1.aarch64-aarch64-with-glibc2.35


==============================
          CPU Info
==============================
Architecture:                         aarch64
CPU op-mode(s):                       64-bit
Byte Order:                           Little Endian
CPU(s):                               640
On-line CPU(s) list:                  0-639
Vendor ID:                            HiSilicon
BIOS Vendor ID:                       HiSilicon
BIOS Model name:                      Kunpeng 920 7280Z
Model:                                0
Thread(s) per core:                   2
Core(s) per socket:                   80
Socket(s):                            4
Stepping:                             0x0
Frequency boost:                      disabled
CPU max MHz:                          2900.0000
CPU min MHz:                          400.0000
BogoMIPS:                             200.00
Flags:                                fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb dcpodp flagm2 frint svei8mm svef32mm svef64mm svebf16 i8mm bf16 dgh rng ecv
L1d cache:                            20 MiB (320 instances)
L1i cache:                            20 MiB (320 instances)
L2 cache:                             400 MiB (320 instances)
L3 cache:                             560 MiB (8 instances)
NUMA node(s):                         8
NUMA node0 CPU(s):                    0-79
NUMA node1 CPU(s):                    80-159
NUMA node2 CPU(s):                    160-239
NUMA node3 CPU(s):                    240-319
NUMA node4 CPU(s):                    320-399
NUMA node5 CPU(s):                    400-479
NUMA node6 CPU(s):                    480-559
NUMA node7 CPU(s):                    560-639
Vulnerability Gather data sampling:   Not affected
Vulnerability Itlb multihit:          Not affected
Vulnerability L1tf:                   Not affected
Vulnerability Mds:                    Not affected
Vulnerability Meltdown:               Not affected
Vulnerability Mmio stale data:        Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed:               Not affected
Vulnerability Spec rstack overflow:   Not affected
Vulnerability Spec store bypass:      Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1:             Mitigation; __user pointer sanitization
Vulnerability Spectre v2:             Not affected
Vulnerability Srbds:                  Not affected
Vulnerability Tsx async abort:        Not affected

==============================
Versions of relevant libraries
==============================
[pip3] numpy==1.26.4
[pip3] pyzmq==27.1.0
[pip3] torch==2.9.0+cpu
[pip3] torch_npu==2.9.0.post1+gitee7ba04
[pip3] torchaudio==2.9.0
[pip3] torchvision==0.24.0
[pip3] transformers==5.8.0
[pip3] triton-ascend==3.2.0.dev20260322
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.18.0
vLLM Build Flags:
  CUDA Archs: Not Set; ROCm: Disabled; XPU: Disabled
GPU Topology:
  Could not collect

==============================
     Environment Variables
==============================
LD_LIBRARY_PATH=/usr/local/Ascend/nnal/atb/latest/atb/cxx_abi_1/lib:/usr/local/Ascend/nnal/atb/latest/atb/cxx_abi_1/examples:/usr/local/Ascend/nnal/atb/latest/atb/cxx_abi_1/tests/atbopstest:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling:/usr/local/Ascend/cann-8.5.1/tools/aml/lib64:/usr/local/Ascend/cann-8.5.1/tools/aml/lib64/plugin:/usr/local/Ascend/cann-8.5.1/lib64:/usr/local/Ascend/cann-8.5.1/lib64/plugin/opskernel:/usr/local/Ascend/cann-8.5.1/lib64/plugin/nnengine:/usr/local/Ascend/cann-8.5.1/opp/built-in/op_impl/ai_core/tbe/op_tiling:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common/:/usr/local/Ascend/driver/lib64/driver/:/usr/local/python3.11.14/lib::/usr/local/lib
OMP_NUM_THREADS=1
TORCH_DEVICE_BACKEND_AUTOLOAD=1
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
RAW_BUFFERClick to expand / collapse

Your current environment

<details> <summary>The output of <code>python collect_env.py</code></summary>
Collecting environment information...
==============================
        System Info
==============================
OS                           : Ubuntu 22.04.5 LTS (aarch64)
GCC version                  : (Ubuntu 11.4.0-1ubuntu1~22.04.3) 11.4.0
Clang version                : 15.0.7
CMake version                : version 4.3.2
Libc version                 : glibc-2.35

==============================
       PyTorch Info
==============================
PyTorch version              : 2.9.0+cpu
Is debug build               : False
CUDA used to build PyTorch   : None
ROCM used to build PyTorch   : N/A
XPU used to build PyTorch    : N/A

==============================
      Python Environment
==============================
Python version               : 3.11.14 (main, Feb 26 2026, 03:57:04) [GCC 11.4.0] (64-bit runtime)
Python platform              : Linux-6.6.0-72.0.0.76.oe2403sp1.aarch64-aarch64-with-glibc2.35


==============================
          CPU Info
==============================
Architecture:                         aarch64
CPU op-mode(s):                       64-bit
Byte Order:                           Little Endian
CPU(s):                               640
On-line CPU(s) list:                  0-639
Vendor ID:                            HiSilicon
BIOS Vendor ID:                       HiSilicon
BIOS Model name:                      Kunpeng 920 7280Z
Model:                                0
Thread(s) per core:                   2
Core(s) per socket:                   80
Socket(s):                            4
Stepping:                             0x0
Frequency boost:                      disabled
CPU max MHz:                          2900.0000
CPU min MHz:                          400.0000
BogoMIPS:                             200.00
Flags:                                fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb dcpodp flagm2 frint svei8mm svef32mm svef64mm svebf16 i8mm bf16 dgh rng ecv
L1d cache:                            20 MiB (320 instances)
L1i cache:                            20 MiB (320 instances)
L2 cache:                             400 MiB (320 instances)
L3 cache:                             560 MiB (8 instances)
NUMA node(s):                         8
NUMA node0 CPU(s):                    0-79
NUMA node1 CPU(s):                    80-159
NUMA node2 CPU(s):                    160-239
NUMA node3 CPU(s):                    240-319
NUMA node4 CPU(s):                    320-399
NUMA node5 CPU(s):                    400-479
NUMA node6 CPU(s):                    480-559
NUMA node7 CPU(s):                    560-639
Vulnerability Gather data sampling:   Not affected
Vulnerability Itlb multihit:          Not affected
Vulnerability L1tf:                   Not affected
Vulnerability Mds:                    Not affected
Vulnerability Meltdown:               Not affected
Vulnerability Mmio stale data:        Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed:               Not affected
Vulnerability Spec rstack overflow:   Not affected
Vulnerability Spec store bypass:      Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1:             Mitigation; __user pointer sanitization
Vulnerability Spectre v2:             Not affected
Vulnerability Srbds:                  Not affected
Vulnerability Tsx async abort:        Not affected

==============================
Versions of relevant libraries
==============================
[pip3] numpy==1.26.4
[pip3] pyzmq==27.1.0
[pip3] torch==2.9.0+cpu
[pip3] torch_npu==2.9.0.post1+gitee7ba04
[pip3] torchaudio==2.9.0
[pip3] torchvision==0.24.0
[pip3] transformers==5.8.0
[pip3] triton-ascend==3.2.0.dev20260322
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.18.0
vLLM Build Flags:
  CUDA Archs: Not Set; ROCm: Disabled; XPU: Disabled
GPU Topology:
  Could not collect

==============================
     Environment Variables
==============================
LD_LIBRARY_PATH=/usr/local/Ascend/nnal/atb/latest/atb/cxx_abi_1/lib:/usr/local/Ascend/nnal/atb/latest/atb/cxx_abi_1/examples:/usr/local/Ascend/nnal/atb/latest/atb/cxx_abi_1/tests/atbopstest:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling:/usr/local/Ascend/cann-8.5.1/tools/aml/lib64:/usr/local/Ascend/cann-8.5.1/tools/aml/lib64/plugin:/usr/local/Ascend/cann-8.5.1/lib64:/usr/local/Ascend/cann-8.5.1/lib64/plugin/opskernel:/usr/local/Ascend/cann-8.5.1/lib64/plugin/nnengine:/usr/local/Ascend/cann-8.5.1/opp/built-in/op_impl/ai_core/tbe/op_tiling:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common/:/usr/local/Ascend/driver/lib64/driver/:/usr/local/python3.11.14/lib::/usr/local/lib
OMP_NUM_THREADS=1
TORCH_DEVICE_BACKEND_AUTOLOAD=1
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
</details>

🐛 Describe the bug

报错日志如下: n operator()) [rank6]:[W511 11:38:06.006805438 compiler_depend.ts:207] Warning: Waiting for pending NCCL work to finish before starting graph capture. (function operator()) [rank9]:[W511 11:38:06.008215514 compiler_depend.ts:207] Warning: Waiting for pending NCCL work to finish before starting graph capture. (function operator()) [rank14]:[W511 11:38:06.008481939 compiler_depend.ts:207] Warning: Waiting for pending NCCL work to finish before starting graph capture. (function operator()) Capturing CUDA graphs (decode, FULL): 72%|███████████████████████████████████████████████████ | 18/25 [00:59<00:21, 3.01s/it](EngineCore_DP1 pid=347) INFO 05-11 11:39:02 [shm_broadcast.py:681] 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, weight/kv cache quantization). (EngineCore_DP0 pid=329) INFO 05-11 11:39:02 [shm_broadcast.py:681] 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, weight/kv cache quantization). Capturing CUDA graphs (decode, FULL): 100%|███████████████████████████████████████████████████████████████████████| 25/25 [01:21<00:00, 3.28s/it] (Worker_DP0_TP0_EP0 pid=375) INFO 05-11 11:39:24 [gpu_model_runner.py:5746] Graph capturing finished in 83 secs, took 0.75 GiB (Worker_DP1_TP0_EP8 pid=376) INFO 05-11 11:39:24 [gpu_model_runner.py:5746] Graph capturing finished in 83 secs, took 0.75 GiB (EngineCore_DP0 pid=329) INFO 05-11 11:39:24 [core.py:281] init engine (profile, create kv cache, warmup model) took 124.31 seconds (EngineCore_DP1 pid=347) INFO 05-11 11:39:24 [core.py:281] init engine (profile, create kv cache, warmup model) took 297.26 seconds INFO 05-11 11:39:27 [coordinator.py:205] All engine subscriptions received by DP coordinator (EngineCore_DP0 pid=329) INFO 05-11 11:39:27 [vllm.py:754] Asynchronous scheduling is enabled. (EngineCore_DP1 pid=347) INFO 05-11 11:39:27 [vllm.py:754] Asynchronous scheduling is enabled. (EngineCore_DP0 pid=329) INFO 05-11 11:39:27 [ascend_config.py:426] Dynamic EPLB is False (EngineCore_DP0 pid=329) INFO 05-11 11:39:27 [ascend_config.py:427] The number of redundant experts is 0 (EngineCore_DP0 pid=329) INFO 05-11 11:39:27 [platform.py:393] FULL_DECODE_ONLY compilation enabled on NPU. use_inductor not supported - using only ACL Graph mode (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] ********************************************************************************** (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] * WARNING: You have enabled the full graph feature. (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] * This is an early experimental stage and may involve various unknown issues. (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] * A known problem is that capturing too many batch sizes can lead to OOM (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] * (Out of Memory) errors or inference hangs. If you encounter such issues, (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] * consider reducing gpu_memory_utilization or manually specifying a smaller (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] * batch size for graph capture. (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] * For more details, please refer to: (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] * https://docs.vllm.ai/en/stable/configuration/conserving_memory.html#reduce-cuda-graphs (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] ********************************************************************************** (EngineCore_DP0 pid=329) WARNING 05-11 11:39:27 [platform.py:410] (EngineCore_DP0 pid=329) INFO 05-11 11:39:27 [platform.py:536] Set PYTORCH_NPU_ALLOC_CONF=expandable_segments:True (EngineCore_DP1 pid=347) INFO 05-11 11:39:27 [ascend_config.py:426] Dynamic EPLB is False (EngineCore_DP0 pid=329) INFO 05-11 11:39:27 [compilation.py:289] Enabled custom fusions: norm_quant, act_quant (EngineCore_DP1 pid=347) INFO 05-11 11:39:27 [ascend_config.py:427] The number of redundant experts is 0 (EngineCore_DP1 pid=347) INFO 05-11 11:39:27 [platform.py:393] FULL_DECODE_ONLY compilation enabled on NPU. use_inductor not supported - using only ACL Graph mode (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] ********************************************************************************** (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] * WARNING: You have enabled the full graph feature. (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] * This is an early experimental stage and may involve various unknown issues. (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] * A known problem is that capturing too many batch sizes can lead to OOM (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] * (Out of Memory) errors or inference hangs. If you encounter such issues, (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] * consider reducing gpu_memory_utilization or manually specifying a smaller (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] * batch size for graph capture. (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] * For more details, please refer to: (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] * https://docs.vllm.ai/en/stable/configuration/conserving_memory.html#reduce-cuda-graphs (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] ********************************************************************************** (EngineCore_DP1 pid=347) WARNING 05-11 11:39:27 [platform.py:410] (EngineCore_DP1 pid=347) INFO 05-11 11:39:27 [platform.py:536] Set PYTORCH_NPU_ALLOC_CONF=expandable_segments:True (EngineCore_DP1 pid=347) INFO 05-11 11:39:27 [compilation.py:289] Enabled custom fusions: norm_quant, act_quant INFO 05-11 11:39:27 [utils.py:250] Waiting for API servers to complete ... ERROR 05-11 11:39:27 [utils.py:291] Exception occurred while running API servers: Process ApiServer_0 (PID: 359) died with exit code 1 ERROR 05-11 11:39:27 [utils.py:291] Traceback (most recent call last): ERROR 05-11 11:39:27 [utils.py:291] File "/vllm-workspace/vllm/vllm/v1/utils.py", line 278, in wait_for_completion_or_failure ERROR 05-11 11:39:27 [utils.py:291] raise RuntimeError( ERROR 05-11 11:39:27 [utils.py:291] RuntimeError: Process ApiServer_0 (PID: 359) died with exit code 1 (Worker_DP0_TP1_EP1 pid=416) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP0_EP8 pid=376) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP1_EP9 pid=420) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP0_TP5_EP5 pid=791) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP0_TP4_EP4 pid=699) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP0_TP0_EP0 pid=375) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP0_TP3_EP3 pid=608) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP0_TP2_EP2 pid=515) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP5_EP13 pid=793) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP4_EP12 pid=700) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP0_TP6_EP6 pid=883) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP2_EP10 pid=517) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP3_EP11 pid=607) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP0_TP7_EP7 pid=975) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP6_EP14 pid=885) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP7_EP15 pid=976) INFO 05-11 11:39:27 [multiproc_executor.py:759] Parent process exited, terminating worker queues (Worker_DP1_TP0_EP8 pid=376) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP0_TP4_EP4 pid=699) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP0_TP1_EP1 pid=416) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP1_TP1_EP9 pid=420) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP0_TP5_EP5 pid=791) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP0_TP6_EP6 pid=883) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP0_TP0_EP0 pid=375) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP0_TP3_EP3 pid=608) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP0_TP2_EP2 pid=515) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP1_TP5_EP13 pid=793) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP1_TP4_EP12 pid=700) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP0_TP7_EP7 pid=975) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP1_TP2_EP10 pid=517) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP1_TP3_EP11 pid=607) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP1_TP7_EP15 pid=976) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. (Worker_DP1_TP6_EP14 pid=885) INFO 05-11 11:39:27 [multiproc_executor.py:854] WorkerProc shutting down. Traceback (most recent call last): File "/usr/local/python3.11.14/bin/vllm", line 6, in <module> sys.exit(main()) ^^^^^^ File "/vllm-workspace/vllm/vllm/entrypoints/cli/main.py", line 75, in main args.dispatch_function(args) File "/vllm-workspace/vllm/vllm/entrypoints/cli/serve.py", line 114, in cmd run_multi_api_server(args) File "/vllm-workspace/vllm/vllm/entrypoints/cli/serve.py", line 317, in run_multi_api_server wait_for_completion_or_failure( File "/vllm-workspace/vllm/vllm/v1/utils.py", line 278, in wait_for_completion_or_failure raise RuntimeError( RuntimeError: Process ApiServer_0 (PID: 359) died with exit code 1 [ERROR] 2026-05-11-11:39:32 (PID:312, Device:-1, RankID:-1) ERR99999 UNKNOWN applicaiton exception sys:1: DeprecationWarning: builtin type swigvarlink has no module attribute root@node-02-5:/workspace# /usr/local/python3.11.14/lib/python3.11/multiprocessing/resource_tracker.py:254: UserWarning: resource_tracker: There appear to be 2 leaked shared_memory objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d '

Before submitting a new issue...

  • Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of the documentation page, which can answer lots of frequently asked questions.

Vote matrix · Quick signals

Works
Did the solution work? Tap to confirm.
Easy Fix
Was it a quick fix?
Time Saver
Did it save you time?
Blocking
Was it severely blocking?
Common Issue
Are others likely hitting this too?
Flaky / Intermittent
Is it intermittent?
Verified / Reproducible
Can you reproduce it reliably?
Loading…

Still need to ship something?

×6

Another batch ranked right after the header list — different links, same matching logic.

Back to top recommendations

TRENDING

vllm - 💡(How to fix) Fix [Bug]: 使用0.18.0版本vllm-ascend,A3单机部署GLM5,dp2 tp8启动报错