SINGA-386 Implement RNN operation for autograd #402
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- develop origin version of some support funcitons for rnn operation
- fix bugs in cpp parts, the codes can be made without error.
- redesign some APIs to adapt to autograd
- redesign some RNN related functions and their APIs. - Now the design of RNN operation is for mini-batch train. - related files can be built without error.
- Fix some bugs and do some design modification for RNN, LSTM, GRU..., which are calculated by call CUDNN funcitons. The implemented layers all works well and can pass shape check for both forward step and backward step.
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