PyTorch 错误：cross_entropy_loss() 函数参数类型错误

This error message indicates that the cross_entropy_loss() function expects a tensor as its first argument, but it received a tuple instead. This is likely because the model output is being passed to the loss function without being flattened into a tensor. To resolve this, ensure that the model output is properly flattened before being passed to the loss function. For instance, you might use the view() or flatten() methods to reshape the output into a tensor. Example:

# Flatten the model output
outputs = outputs.view(-1)

# Calculate the loss
loss = criterion(outputs, labels)
```  By flattening the model output, you are ensuring that it is in the correct format for the `cross_entropy_loss()` function to process, preventing the `TypeError`.  If the issue persists, examine the specific code where the model output is processed before being passed to the loss function to identify any inconsistencies or potential flattening errors.