CrossEntropyLoss does not expect a one-hot encoded vector as the target, but class indices:
The input is expected to contain scores for each class.
input has to be a 2D Tensor of size (minibatch, C).
This criterion expects a class index (0 to C-1) as the target for each value of a 1D tensor of size minibatch