pytorch/caffe2/python/models/seq2seq
Yury Zemlyanskiy 11052d03aa RNNCell API change: returns states and outputs
Summary:
Incorporating definition of cell's output and illustraing it's usage by adding dropout to all types of cell.

I think that we should try to get rid of aliases in RecurrentNetwork, so output of applied_over_sequence is also always (state_1_all, state_2_all, ...). This way we can merge get_output_from_single_step, get_output_from_sequence and get_outputs_with_grads into a single method

Let me know what do you think!

Reviewed By: jhcross

Differential Revision: D4992913

fbshipit-source-id: 737939be336ad145f84e8733cd255d4f7188ef70
2017-05-08 15:19:48 -07:00
..
beam_search.py Move BeamSearchForwardOnly to OSS 2017-04-27 13:35:53 -07:00
seq2seq_model_helper.py Move BeamSearchForwardOnly to OSS 2017-04-27 13:35:53 -07:00
seq2seq_util.py Inference code for seq2seq model 2017-05-02 22:47:28 -07:00
train.py Inference code for seq2seq model 2017-05-02 22:47:28 -07:00
translate.py RNNCell API change: returns states and outputs 2017-05-08 15:19:48 -07:00