class_docstr: HyperLSTM with Ortho Init, Layer Norm, Recurrent Dropout, no Memory Loss.
  
  https://arxiv.org/abs/1609.09106
  http://blog.otoro.net/2016/09/28/hyper-networks/
class_docstr_tok: ["HyperLSTM","with","Ortho","Init",",","Layer","Norm",",","Recurrent","Dropout",",","no","Memory","Loss",".","https",":","\/\/arxiv.org\/abs\/1609.09106","http",":","\/\/blog.otoro.net\/2016\/09\/28\/hyper-networks\/"]
code: def get_output(self, state):
      total_h, unused_total_c = tf.split(state, 2, 1)
      h = total_h[:, 0 : self.num_units]
      return h
  
imports: import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 5 for calling the HyperLSTMCell obj's underlying member method code with example usage: obj.get_output(state) and returns: h