class_docstr: Wraps a Keras RNN/LSTM/GRU layer to make network state more consistent.
code: def compute_output_shape(self, input_shape):
      return self._layer.compute_output_shape(input_shape)
  
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 8 for calling the RNNWrapper obj's underlying member method code with example usage: obj.compute_output_shape(input_shape) and returns: self