08184fbbb9248ebe53350f71f6f43be859fd838e,onmt/Models.py,Decoder,forward,#Decoder#Any#Any#Any#Any#Any#,244

Before Change

            outputs = output.transpose(0, 1).contiguous()

            if False:
                if hidden is not None:
                    outputs = outputs[hidden.size(0):]
                    attn = attn[:, hidden.size(0):].squeeze()
                    attn = torch.stack([attn])

            attns["std"] = attn
            if self._copy:
                attns["copy"] = attn
            hidden = input

After Change

            attns["std"] = attn
            if self._copy:
                attns["copy"] = attn
            hidden = (input.unsqueeze(2),)
        else:
            for i, emb_t in enumerate(emb.split(1)):
                emb_t = emb_t.squeeze(0)
                if self.input_feed:

Instances