Here’s how my network looks like:
Sequential(
  (0): Linear(in_features=22761, out_features=300, bias=True)
  (1): ReLU()
  (2): Linear(in_features=300, out_features=300, bias=True)
  (3): ReLU()
  (4): Linear(in_features=300, out_features=300, bias=True)
  (5): ReLU()
  (6): Linear(in_features=300, out_features=2, bias=True)
  (7): Softmax()
)

I tried running the code you gave me and got this as the output:
Variable containing:
 0.7311  0.2689
[torch.cuda.FloatTensor of size 1x2 (GPU 0)]

I am not sure what these two numbers mean however. They are the same for every input. Could you please explain what is going on? Thanks