Alexander Sidorov 2ce3cfefe1 Char-RNN Tutorial ... Summary: This learns Shakespeare and then generates samples one character at a time. We want this to be an example of using our LSTM and RNNs in general. Now it takes 4ms to run the training net on current parameters (with batch size = 1). I don't have data on how much each operator takes yet. But overal python loop doesn't seem to influence much - with 1000 fake iterations in run_net it took 4s for each iteration as expected. Future work: * fixing convergence for batching * profiling on operator level * trying it out with GPUs * benchmarking against existing char-rnn implementations * stacking lstms (one lstm is different from two, one needs to take care of scoping) Reviewed By: urikz Differential Revision: D4430612 fbshipit-source-id: b36644fed9844683f670717d57f8527c25ad285c		2017-02-02 15:44:32 -08:00
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char_rnn.py	Char-RNN Tutorial	2017-02-02 15:44:32 -08:00
lmdb_create_example.py	LMDB example	2016-12-05 11:53:26 -08:00
resnet50_trainer.py	Gradient Input memory sharing using memonger blob sharing	2017-01-09 19:44:23 -08:00