def seq2seq_f(encoder_inputs_list, decoder_inputs, text_len, do_decode,
attn_vec_size):
return many2one_seq2seq.many2one_attention_seq2seq(
encoder_inputs_list,
decoder_inputs,
text_len,
cell,
num_encoder_symbols=source_vocab_size,
num_decoder_symbols=target_vocab_size,
embedding_size=embedding_size,
output_projection=output_projection,
feed_previous=do_decode,
attention_vec_size=attn_vec_size)
def seq2seq_f(encoder_inputs_list, decoder_inputs, text_len, speech_len, do_decode, attn_vec_size):
return many2one_seq2seq.many2one_attention_seq2seq(
encoder_inputs_list, decoder_inputs,
text_len, speech_len, feat_dim,
text_cell, speech_cell, parse_cell,
num_encoder_symbols=source_vocab_size,
num_decoder_symbols=target_vocab_size,
embedding_size=embedding_size,
attention_vec_size=attn_vec_size,
fixed_word_length=fixed_word_length,
filter_sizes=filter_sizes,
num_filters=num_filters,
output_projection=output_projection,
feed_previous=do_decode)