def seq2seq_f(encoder_inputs, decoder_inputs, feed_previous): return tf_seq2seq.embedding_attention_seq2seq( encoder_inputs, decoder_inputs, cell, num_encoder_symbols=source_vocab_size, num_decoder_symbols=target_vocab_size, embedding_size=size, output_projection=output_projection, feed_previous=feed_previous, #do_decode, dtype=dtype)
def seq2seq_f(encoder_inputs, decoder_inputs, feed_previous): return tf_seq2seq.embedding_attention_seq2seq( encoder_inputs, decoder_inputs, cell, num_encoder_symbols=source_vocab_size, num_decoder_symbols=target_vocab_size, embedding_size=size, output_projection=output_projection, feed_previous=feed_previous, #do_decode, dtype=dtype)