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pytorch/caffe2/python/examples
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Yury Zemlyanskiy 4bf559eddb RNNCell, LSTMCell, LSTMWithAttentionCell 
Summary: This is the nice way to re-use RNN layers for training and for inference.

Reviewed By: salexspb

Differential Revision: D4825894

fbshipit-source-id: 779c69758cee8caca6f36bc507e3ea0566f7652a
2017-04-18 00:47:20 -07:00
..
char_rnn.py doxygen python block added 2017-03-29 06:46:16 -07:00
lmdb_create_example.py doxygen python block added 2017-03-29 06:46:16 -07:00
resnet50_trainer.py Add throughput information to resnet50_trainer 2017-04-12 17:46:14 -07:00
seq2seq.py RNNCell, LSTMCell, LSTMWithAttentionCell 2017-04-18 00:47:20 -07:00
seq2seq_util.py RNNCell, LSTMCell, LSTMWithAttentionCell 2017-04-18 00:47:20 -07:00