#5361 [BUG] 华为昇腾NPU 910B3部署mineru使用pipeline模式报错507035（ACL_ERROR_RT_VECTOR_CORE_EXCEPTION）

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Description of the bug | 错误描述

华为昇腾910B3 4卡*64G, MinerU使用的官方提供镜像（quay.m.daocloud.io/ascend/vllm-ascend:v0.11.0） 4卡持续运⾏48⼩时持续解析PDF文档随时间推移，解析成功率持续不可逆下滑

MinerU服务端⽇志中报错：

[ERROR] ERR00100 PTA call acl api failed [Error]: The vector core execution is abnormal. EH9999: Inner Error! rtDeviceSynchronizeWithTimeout execute failed, reason=[vector core exception] EH9999[PID: 7] wait for compute device to finish failed, runtime result = 507035.

MinerU 的 batch_image_analyze 在接住异常后，将其包装成⼀句具有误导性的提示：

RuntimeError: NPU is selected as device, but torch_npu is not available. Please ensure that the torch_npu package is installed correctly

⚠️ 此错误信息具有误导性。 torch_npu 实已成功导⼊并执⾏到 C 扩展层，该⽂案仅为兜底分⽀，并不表示缺少 Python 包。

关键调⽤链如下： mineru-api (uvicorn) └── FastAPI 异步任务层（_process_task） └── run_parse_job（asyncio.to_thread(do_parse)） └── _process_pipeline └── doc_analyze_streaming └── batch_image_analyze ← pipeline_analyze.py:346 └── torch_npu.npu.set_compile_mode(jit_compile=False) └── torch_npu.npu.synchronize() ← utils.py:72 └── torch_npu._C._npu_synchronize() └── [ACL] AclrtSynchronizeDeviceWithTimeout └── RuntimeError: error code is 507035

How to reproduce the bug | 如何复现

针对MinerU 3.4.0⽂档解析接⼝在910B3 48⼩时持续⾼并发压测中暴露出的严重性能退化现象华为昇腾910B3 4卡*64G，4卡部署服务实例24个实例（每张卡6个实例）并发线程数24 （一个实例一个线程同步持续调用MinerU文档解析接口：/file_parse ）持续 48.0 ⼩时测试⽂件1,027 个⽂件（PDF / DOCX），平均⼤⼩2121.8 KB

Operating System Mode | 操作系统类型

Linux

Operating System Version| 操作系统版本

Ubuntu 22.04 LTS (GNU/Linux 5.15.0-101-generic aarch64) npu: Ascend 910B3 Python 3.11.13 mineru 3.4.0 pytorch 2.7.1 pytorch_npu 2.7.1 torchvision 0.22.1

Python version | Python 版本

3.11

Software version | 软件版本 (mineru --version)

>=2.5

Backend name | 解析后端

pipeline

Device mode | 设备模式

npu