Hi Ptrblck,
the input into the encoder is a 2d tensor which is fixed in size (260,132).
I don’t understand what you mean by increase the number of inputs. I have a batchsize of 24 so the input would be 24,1,260,132 and the one-hot vector is 24,6 (as there are 6 different types available)…
if i use:
inputs = torch.cat([data_in, labels], 1)
then data_in and labels have to be the same size, don’t they???
I am feeling really thick at the moment, i’m sure i’m missing a trick, I just cannot see it…