code: def highway_core_with_recurrent_dropout(
      hidden_size,
      num_layers,
      keep_prob=0.5,
      **kwargs):
    
  
    core = HighwayCore(hidden_size, num_layers, **kwargs)
    return RecurrentDropoutWrapper(core, keep_prob), core
docs: Highway core with recurrent dropout.
  
    Args:
      hidden_size: (int) Hidden size dimensionality.
      num_layers: (int) Number of highway layers.
      keep_prob: the probability to keep an entry when applying dropout.
      **kwargs: Extra keyword arguments to pass to the highway core.
  
    Returns:
      A tuple (train_core, test_core) where train_core is a higway core with
      recurrent dropout enabled to be used for training and test_core is the
      same highway core without recurrent dropout.