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)
