(self,
               num_units,
               forget_bias=1.0,
               use_recurrent_dropout=False,
               dropout_keep_prob=0.90)
Initialize the Layer Norm LSTM cell.

    Args:
      num_units: int, The number of units in the LSTM cell.
      forget_bias: float, The bias added to forget gates (default 1.0).
      use_recurrent_dropout: Whether to use Recurrent Dropout (default False)
      dropout_keep_prob: float, dropout keep probability (default 0.90)
Initialize the Layer Norm LSTM cell.
Initialize the Layer Norm LSTM cell .
def __init__(self,
               num_units,
               forget_bias=1.0,
               use_recurrent_dropout=False,
               dropout_keep_prob=0.90):
    """Initialize the Layer Norm LSTM cell.

    Args:
      num_units: int, The number of units in the LSTM cell.
      forget_bias: float, The bias added to forget gates (default 1.0).
      use_recurrent_dropout: Whether to use Recurrent Dropout (default False)
      dropout_keep_prob: float, dropout keep probability (default 0.90)
    """
    self.num_units = num_units
    self.forget_bias = forget_bias
    self.use_recurrent_dropout = use_recurrent_dropout
    self.dropout_keep_prob = dropout_keep_prob
def __init__ ( self , num_units , forget_bias = 1.0 , use_recurrent_dropout = False , dropout_keep_prob = 0.90 ) : self . num_units = num_units self . forget_bias = forget_bias self . use_recurrent_dropout = use_recurrent_dropout self . dropout_keep_prob = dropout_keep_prob