50fdf591464ca63940a2c1c5e7057b2f4df034f5,fairseq/models/fconv.py,FConvDecoder,forward,#FConvDecoder#Any#Any#,187

Before Change

        self.fc3 = Linear(out_embed_dim, num_embeddings, dropout=dropout)

    def forward(self, input_tokens, encoder_out):
        positions = Variable(make_positions(input_tokens.data, self.dictionary.pad(),
                                            left_pad=LanguagePairDataset.LEFT_PAD_TARGET))
        return self._forward(input_tokens, positions, encoder_out)

    def incremental_forward(self, input_tokens, encoder_out):
        Forward pass for one time step.
        // positions is the same for every token when decoding a single step

After Change

        if self._is_incremental_eval:
            return self.incremental_forward(input_tokens, encoder_out)
        else:
            return self.batch_forward(input_tokens, encoder_out)

    def batch_forward(self, input_tokens, encoder_out):
        Forward pass for decoding multiple time steps in batch mode.
        positions = Variable(make_positions(input_tokens.data, self.dictionary.pad(),

Instances