AttributeError Traceback (most recent call last) Cell In[18], line 21 19 data, target = data.cuda(), target.cuda() 20 # clear the gradients of all optimized variables ---> 21 optimizer.zero_grad() 22 # forward pass: compute predicted outputs by passing inputs to the model 23 output = model(data) AttributeError: 'NoneType' object has no attribute 'zero_grad'

这个错误表明你尝试在一个空对象上调用 `zero_grad()` 方法。通常情况下，这是因为你没有正确地定义或初始化优化器对象。

请确保你已经正确地创建了优化器对象，并将其赋值给 `optimizer` 变量。例如，对于常见的优化器如 Adam，你可以按照以下方式进行初始化：

optimizer = torch.optim.Adam(model.parameters(), lr=0.001)

确保在调用 `optimizer.zero_grad()` 之前，`optimizer` 对象已经被正确地定义和初始化。

相关问题

AttributeError Traceback (most recent call last

This error occurs when you try to access an attribute or method that does not exist in the object you are using.

To fix this error, you should check the spelling and syntax of the attribute or method you are trying to access. Make sure that it exists in the object you are using. If you are not sure, you can use the `dir()` function to list all the attributes and methods of the object.

If the attribute or method is supposed to exist but is still giving you an error, it could be a problem with the object itself. In this case, you may need to check the documentation or seek help from the developer community.

AttributeError Traceback (most recent call last)

This error occurs when you try to access an attribute or method that does not exist in the object you are working with. It is a common error in Python and can be caused by various reasons such as typos, incorrect usage of variables or objects, or missing imports.

To fix this error, you should carefully check your code and ensure that all the attributes and methods you are calling actually exist in the object you are working with. If you are still unable to find the error, you can try printing out the object and its attributes to see what is going wrong.