I am trying to make a full-connected network for a classifier with two output classes that I feed with a tensor containing two sequences of data.
I would like to have each sequence go through two linear layers and then join the output back to go through two linear layers before getting to the output, but I am currently at a loss at how to split the input.
My input tensor is shaped like this : [1 x 2 x 23320] and I would like to split it into two [1 x 232320] but somehow what I am doing is very wrong and seems to be doing nothing.
temp = x.split(1) x1 = temp x2 = temp
tells me that the tuple index is out of range for x2.
I know I am doing something the wrong way, but I cannot figure what exactly, if someone has some pointers, that would be nice.