We evaluate this model on three neural machine translation (NMT) benchmark datasets, achieving comparable performance with state-of-the-art nonautoregressive NMT models and almost constant decoding time w.r.t the sequence length.
for FlowSeq to predict the entire sequence in parallel, it needs to know its length in advance to generate the latent sequence z.