Attention weights

[PietroAmin]

In seq2seq.py the attention weights are computed like this:

attn_weights = F.softmax(
            self.attn(F.concat(embedded, hidden[0].flatten(), dim=1)))

Where embedded is the input of the decoder and hidden is the encoder's hidden as in the train you define hidden as: decoder_hidden = encoder_hidden. The problem is that as I found online in different sources the attention weights are computed with decoder's hidden and encoder's output.