RNN Encoder-Decoder only predicting values -1 to 1

2

A couple of things that strike me as odd:

  • You do output = output.view(121, -1, 40) and then pushing output through your GRU layer. But you defined you GRU layer with batch_first=False that means the 121 will be interpreted as sequence length. However, 121 seems to be your hidden_size

  • I’m not sure if using view() is the right way to get the shapes right; have a look a post of mine.

In short, I’m pretty sure you mess up your inputs so the network can’t learn anyting meaningful.