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