James Cross 9fcf676cfa testing for open-source seq2seq ... Summary: Fix multilayer inference in Caffe2 example seq2seq code. (Rely on LSTMWithAttentionDecoder.apply rather than fixed state indices to determine stepwise decoder output.) Also assorted updates to bring code in line with changes elsewhere in the codebase, and added unit tests which ensure that training and inference networks generate the same loss, which should make these problems much easier to identify in future. Reviewed By: jamesr66a Differential Revision: D5579803 fbshipit-source-id: 6e0f27340d981990ab8d0da58e63793222e7be87		2017-08-08 10:09:41 -07:00
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seq2seq	testing for open-source seq2seq	2017-08-08 10:09:41 -07:00
__sym_init__.py	exec_net --> predict_net	2017-03-23 16:31:49 -07:00
download.py	fix download progress bar's percentage exceed 100%	2017-04-20 10:41:06 -07:00
resnet.py	Fix a few typos and grammars in comment	2017-06-14 18:22:39 -07:00
resnet_test.py	fast simple-net memonger for C++	2017-07-06 15:17:07 -07:00