Softmax == Softmax2D in current Pytorch version?

Just curious whether the softmax in a Fully Convolutional Network equals to Softmax2D ? As in the source code it seems to be true. But the current version of Pytorch document does not mention anything about 2D softmax.

i think it is just missing in documentation.

Agreed. Adding this to the document will reduce ambiguities.

added in now. sorry for the delay.