使用mindspore运行run_check报错

问题描述mindspore-2.9.0安装后执行验证报错环境芯片型号Ascend910ProB x86系统 驱动25.5.2 CAAN9.0.0 推理卡 Atlas 300T PRO查推理卡结果如下root60da424e2c4f:/# python3 -c import acl;print(acl.get_soc_name()) Ascend910ProB设备信息如下华为 TaiShan 200 (Model 2280) 2U机架式服务器 2*Kunpeng 920[48Core\2.6GHz](mailto:48Core2.6GHz) DDR4 RDIMM-512GB 1920GB-SSD*2 4TB SATA*3 RAID-2G 2000W*2 4*GE千兆电口2*10GBE带双光模块 Atlas 300T PRO32G)*1导轨 三年质保验证mindspore:root60da424e2c4f:/# python -c import mindspore;mindspore.set_device(Ascend);mindspore.run_check()/usr/local/python3.11.15/lib/python3.11/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for class numpy.float32 type is zero. setattr(self, word, getattr(machar, word).flat[0]) /usr/local/python3.11.15/lib/python3.11/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for class numpy.float32 type is zero. return self._float_to_str(self.smallest_subnormal) /usr/local/python3.11.15/lib/python3.11/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for class numpy.float64 type is zero. setattr(self, word, getattr(machar, word).flat[0]) /usr/local/python3.11.15/lib/python3.11/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for class numpy.float64 type is zero. return self._float_to_str(self.smallest_subnormal) MindSpore version: 2.9.0 MindSpore running check failed. Call aclnnMul failed, detail:EZ9999: Inner Error! EZ9999[PID: 610] 2026-06-02-12:48:59.953.320 AclNN_Inner_Error(EZ9999): Parse dynamic kernel config fail.[THREAD:700] TraceBack (most recent call last): Failed to ParseDynamicKernels.[THREAD:700] AclOpKernelInit failed opType. Maybe caused by the following reasons: 1. Please check whether the CANN enviroment variables are sourced. 2. Please check if the kernel package is installed. 3. Please confirm whether the current chip or version already supports the faulty operator.[THREAD:700] Op Mul does not has any binary.[THREAD:701] Kernel Run failed. opType: 4, Mul[THREAD:701] launch failed for Mul, errno:561000.[THREAD:701] ---------------------------------------------------- - C Call Stack: (For framework developers) ---------------------------------------------------- mindspore/ops/kernel/ascend/aclnn/pyboost_impl/auto_generate/pyboost_ascend_ops_4.cc:1153 operator()解决方案使用的芯片型号Ascend910ProB需要确认安装的CANN是以哪个形式安装的。如果是runfile分包离线安装的话是否使用了Ascend-cann-910-ops分包根据报错日志当前环境似乎无法正确加载算子疑似使用了错误的算子分包如Ascend-cann-910b-ops或Ascend-cann-310b-ops分包。