9196c0b6544c916ef9f2178a9a45cc06d264db49,fairseq/models/lstm.py,LSTMDecoder,forward,#LSTMDecoder#Any#Any#Any#,343

Before Change

            num_layers = len(self.layers)
            prev_hiddens = [encoder_hiddens[i] for i in range(num_layers)]
            prev_cells = [encoder_cells[i] for i in range(num_layers)]
            input_feed = x.data.new(bsz, self.encoder_output_units).zero_()

        attn_scores = x.data.new(srclen, seqlen, bsz).zero_()
        outs = []
        for j in range(seqlen):

After Change

            num_layers = len(self.layers)
            prev_hiddens = [encoder_hiddens[i] for i in range(num_layers)]
            prev_cells = [encoder_cells[i] for i in range(num_layers)]
            if self.encoder_hidden_proj is not None:
                prev_hiddens = [self.encoder_hidden_proj(x) for x in prev_hiddens]
                prev_cells = [self.encoder_cell_proj(x) for x in prev_cells]
            input_feed = x.new_zeros(bsz, self.hidden_size)

        attn_scores = x.new_zeros(srclen, seqlen, bsz)
        outs = []

Instances