300I DUO 进行yolov8训练，报下面的错误：

 

Starting training for 10 epochs... 

Closing dataloader mosaic 

 

      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size 

  0%|          | 0/8 [00:00<?, ?it/s].....[W compiler_depend.ts:82] Warning: The oprator of add is executed, Currently High Accuracy but Low Performance OP with 64-bit has been used, Please Do Some Cast at Python Functions with 32-bit for Better Performance! (function operator()) 

  0%|          | 0/8 [01:34<?, ?it/s] 

Traceback (most recent call last): 

  File "/data/repos_models/modelzoo/modelzoo-GPL-master/built-in/PyTorch/Official/cv/object_detection/Yolov8_for_PyTorch/test.py", line 12, in <module> 

    results = model.train(    data='/data/code_ws/yolov8/defect_detection.yaml',    epochs=10,     imgsz=640,     batch=1,     name='dataset/runs',device=device) 

              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 

  File "/data/repos_models/modelzoo/modelzoo-GPL-master/built-in/PyTorch/Official/cv/object_detection/Yolov8_for_PyTorch/ultralytics/engine/model.py", line 784, in train 

    self.trainer.train() 

  File "/data/repos_models/modelzoo/modelzoo-GPL-master/built-in/PyTorch/Official/cv/object_detection/Yolov8_for_PyTorch/ultralytics/engine/trainer.py", line 207, in train 

    self._do_train(world_size) 

  File "/data/repos_models/modelzoo/modelzoo-GPL-master/built-in/PyTorch/Official/cv/object_detection/Yolov8_for_PyTorch/ultralytics/engine/trainer.py", line 397, in _do_train 

    self.scaler.scale(self.loss).backward() 

  File "/usr/local/lib64/python3.11/site-packages/torch/_tensor.py", line 492, in backward 

    torch.autograd.backward( 

  File "/usr/local/lib64/python3.11/site-packages/torch/autograd/__init__.py", line 251, in backward 

    Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass 

RuntimeError: InnerRun:build/CMakeFiles/torch_npu.dir/compiler_depend.ts:234 OPS function error: MaxPoolGradWithArgmaxV1, error code is 500002 

[ERROR] 2025-05-07-16:30:29 (PID:315731, Device:4, RankID:-1) ERR01100 OPS call acl api failed 

[Error]: A GE error occurs in the system. 

        Rectify the fault based on the error information in the ascend log. 

EZ3003: [PID: 315731] 2025-05-07-16:30:29.698.158 No supported Ops kernel and engine are found for [MaxPoolGradWithArgmaxV1445], optype [MaxPoolGradWithArgmaxV1]. 

        Possible Cause: The operator is not supported by the system. Therefore, no hit is found in any operator information library. 

        Solution: 1. Check that the OPP component is installed properly. 2. Submit an issue to request for the support of this operator type. 

        TraceBack (most recent call last): 

        Assert ((SelectEngine(node_ptr, exclude_engines, is_check_support_success, op_info)) == ge::SUCCESS) failed[FUNC:operator()][FILE:engine_place.cc][LINE:148] 

        RunAllSubgraphs failed, graph=online.[FUNC:RunAllSubgraphs][FILE:engine_place.cc][LINE:122] 

        build graph failed, graph id:444, ret:4294967295[FUNC:BuildModelWithGraphId][FILE:ge_generator.cc][LINE:1618] 

        [Build][SingleOpModel]call ge interface generator.BuildSingleOpModel failed. ge result = 4294967295[FUNC:ReportCallError][FILE:log_inner.cpp][LINE:161] 

        [Build][Op]Fail to build op model[FUNC:ReportInnerError][FILE:log_inner.cpp][LINE:145] 

        build op model failed, result = 500002[FUNC:ReportInnerError][FILE:log_inner.cpp][LINE:145]