68fbfd1876c367323acf830736bae1af499cc0fe,onmt/modules/Transformer.py,TransformerDecoder,forward,#TransformerDecoder#Any#Any#Any#Any#,262

Before Change

        if state.previous_input is not None:
            outputs = outputs[state.previous_input.size(0):]
            attn = attn[:, state.previous_input.size(0):].squeeze()
            attn = torch.stack([attn])
        attns["std"] = attn
        if self._copy:
            attns["copy"] = attn

After Change

        saved_inputs = []
        for i in range(self.num_layers):
            prev_layer_input = None
            if state.previous_input is not None:
                prev_layer_input = state.previous_layer_inputs[i]
            output, attn, all_input \
                = self.transformer_layers[i](output, src_memory_bank,
                                             src_pad_mask, tgt_pad_mask,
                                             previous_input=prev_layer_input)

Instances