4cbcf46bb80ecfbfedcd3e2872669d3aa96f5e27,stanfordnlp/models/common/char_model.py,CharacterLanguageModel,forward,#CharacterLanguageModel#,76

Before Change

            if self.pad:
                res = pad_packed_sequence(res, batch_first=True)[0]
        
        return res

After Change

                      self.charlstm_c_init.expand(self.args["char_num_layers"], batch_size, self.args["char_hidden_dim"]).contiguous())
        output, hidden = self.charlstm(embs, charlens, hx=hidden)
        output = self.dropout(pad_packed_sequence(output, batch_first=True)[0])
        decoded = self.decoder(output)
        return output, hidden, decoded

    def get_representation(self, chars, charoffsets, charlens, char_orig_idx):
        with torch.no_grad(): //TODO: remove
            output, _, _ = self.forward(chars, charlens)

Instances