(self, word)

(self)

(self)

(self, N, num_head, dropout, d_model, d_ff)

(self, model_file_path=None, is_eval=False)

(batch, use_cuda)

(linear)

(loss, running_avg_loss, summary_writer, step, decay=0.99)

(self, sequence, max_len, start_id, stop_id)

(batch, use_cuda)

(lstm)

(wt)

(s)

(self, beams)

(self, query, key, value, mask, dropout=None)

(self, batch)

(self)

(self, batch)

(self, token, log_prob, state, context, coverage)

(self, word_id)

(self, example_list)

(self, example_list)

(self, max_len, pad_id)

(self, max_len, pad_id)

(ref_dir, dec_dir)

(results_dict, dir_to_write)

(self)

(self, running_avg_loss, iter)

(self, model_file_path=None)

(self, example_list)

(self, example_generator)

(self, n_iters, model_file_path=None)

(self, batch)

(reference_sents, decoded_words, ex_index, _rouge_ref_dir, _rouge_dec_dir)

(self, model_file_path)

(self)

(self, tokens, log_probs, state, context, coverage)

(self, model_file_path)

(self, d_model, dropout, max_len=5000)

(self, num_head, d_model, dropout=0.1)

(self, dropout, d_model, d_ff)

(self, num_head, dropout, d_model, d_ff)

(self)

(self)

(self)

(self)

(self, vocab_file, max_size)

(self, article, abstract_sentences, vocab)

(self, example_list, vocab, batch_size)

(self, data_path, vocab, mode, batch_size, single_pass)

(abstract_words, vocab, article_oovs)

(abstract)

(article_words, vocab)

(self)

(data_path, single_pass)

(self)

(self)

(self, x)

(self, query, key, value, mask)

(self, x)

(self, x, mask)

(self, word_embed, mask)

(self, input, seq_lens)

(self, hidden)

(self, s_t_hat, encoder_outputs, encoder_feature, enc_padding_mask, coverage)

(self, y_t_1, s_t_1, encoder_outputs, encoder_feature, enc_padding_mask, c_t_1, extra_zeros, e

(wt)

(self)

(id_list, vocab, article_oovs)

(article, abstract, decoded_output)

(abstract, vocab, article_oovs)

(article, vocab)

(self)

(self, fpath)