Variational inference with KLqp for LSTM example

1

Hi

Is there any code available for reference on how to use ed.KLqp() for inference (instead of ed.MAP()) for the LSTM example in https://github.com/blei-lab/edward/blob/master/examples/lstm.py .

I am not sure on how to define the model for wx, wh and b.

Thank you in advance.