If we use dynamic rnn encorder do we still need to use the bucket model?

[shamanez]

[Conchylicultor]

Dynamic RNN allows the model to have variable sentence lengths​. Bucketing allow to efficiently minimize the padding within each batch. Those are two different complementary things.

[shamanez]

Oh I get it. So if we use dynamic RNN encoder without bucketing dynamic rnn function will padded the input to a fixed size right?

[Conchylicultor]

The inputs will be padded to the longest sentence of the current batch. I think that with recent versions of tensorflow, there was a way to automatically handle padding and bucketing.