criterion = nn.CrossEntropyLoss()

print(outputs.data)
print(label.data)
loss = criterion(outputs, label)      # getting error at this point

The output that I'm getting is =>

 0.0174
 0.1866
[torch.FloatTensor of size 2]


 0
 1
[torch.FloatTensor of size 2]

This is correct as far as the documentation is concern, but still getting following error
dimension out of range (expected to be in range of [-1, 0], but got 1)