pytorch中出现AttributeError: Can‘t get attribute ‘Net‘ on ＜module ‘__main__‘＞错误

问题报错如下：
AttributeError                            Traceback (most recent call last)
Cell In[10], line 1
----> 1 model = torch.load('fruit30_pytorch_light.pth')
      2 model = model.eval().to(device)

File E:\Anaconda\envs\pytorch\lib\site-packages\torch\serialization.py:712, in load(f, map_location, pickle_module, **pickle_load_args)
    710             opened_file.seek(orig_position)
    711             return torch.jit.load(opened_file)
--> 712         return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
    713 return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)

File E:\Anaconda\envs\pytorch\lib\site-packages\torch\serialization.py:1049, in _load(zip_file, map_location, pickle_module, pickle_file, **pickle_load_args)
   1047 unpickler = UnpicklerWrapper(data_file, **pickle_load_args)
   1048 unpickler.persistent_load = persistent_load
-> 1049 result = unpickler.load()
   1051 torch._utils._validate_loaded_sparse_tensors()
   1053 return result

File E:\Anaconda\envs\pytorch\lib\site-packages\torch\serialization.py:1042, in _load..UnpicklerWrapper.find_class(self, mod_name, name)
   1040         pass
   1041 mod_name = load_module_mapping.get(mod_name, mod_name)
-> 1042 return super().find_class(mod_name, name)

AttributeError: Can't get attribute 'Net' on 

这是在使用torch训练完自己写的Net类的model之后，如下所示：

torch.save(model, 'checkpoints/fruit30_pytorch_light.pth')

重新在预测使用阶段中应用

model = torch.load('fruit30_pytorch_light.pth')
model = model.eval().to(device)

出现此类问题是说明在新的应用py中，没有找到你自己定义这个model，所以要把整个自己写的model这个类复制到上面这个应用代码的上面即可！