class_docstr: Wraps a Keras RNN/LSTM/GRU layer to make network state more consistent.
code: def updates(self):
      updates = self._layer.updates
      return updates + self._updates
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tf_agents.utils import common
label_desc: Use image node_id 12 for calling the RNNWrapper obj's underlying member method code with example usage: obj.updates() and returns: unknown