class_docstr: Wraps a Keras RNN/LSTM/GRU layer to make network state more consistent.
docstr: Return the `cell` underlying the RNN layer.
docstr_tok: ["Return","the","`","cell","`","underlying","the","RNN","layer","."]
code: def cell(self) -> tf.keras.layers.Layer:
      """Return the `cell` underlying the RNN layer."""
      return self._layer.cell
  
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 3 for calling the RNNWrapper obj's underlying member method code with example usage: obj.cell() and returns: self