1. when running at the code of self.criterion(outputs, labels), where I use CrossEntropy as my loss function, I meet the bug of "Dimension out of range (expected to be in range of [-1, 0], but got 1)"

   Solution:

2. From the doc of CrossEntropy (https://pytorch.org/docs/stable/nn.html?highlight=crossentropy#torch.nn.CrossEntropyLoss)

       这表明对于loss = self.criterion(output, label)中，output的维度是N*C，而label的维度是N，即label并不是one-hot，CrossEntropy会自动将label转成one-hot