parameters: (self,
                 num_units,
                 initializer=None,
                 forget_bias=1.0,
                 activation=math_ops.tanh,
                 reuse=None)
docstring: Initialize the parameters for an UGRNN cell.
  
      Args:
        num_units: int, The number of units in the UGRNN cell
        initializer: (optional) The initializer to use for the weight matrices.
        forget_bias: (optional) float, default 1.0, The initial bias of the
          forget gate, used to reduce the scale of forgetting at the beginning
          of the training.
        activation: (optional) Activation function of the inner states.
          Default is `tf.tanh`.
        reuse: (optional) Python boolean describing whether to reuse variables
          in an existing scope.  If not `True`, and the existing scope already has
          the given variables, an error is raised.
docstring_summary: Initialize the parameters for an UGRNN cell.
docstring_tokens: Initialize the parameters for an UGRNN cell .
function: def __init__(self,
                 num_units,
                 initializer=None,
                 forget_bias=1.0,
                 activation=math_ops.tanh,
                 reuse=None):
      """Initialize the parameters for an UGRNN cell.
  
      Args:
        num_units: int, The number of units in the UGRNN cell
        initializer: (optional) The initializer to use for the weight matrices.
        forget_bias: (optional) float, default 1.0, The initial bias of the
          forget gate, used to reduce the scale of forgetting at the beginning
          of the training.
        activation: (optional) Activation function of the inner states.
          Default is `tf.tanh`.
        reuse: (optional) Python boolean describing whether to reuse variables
          in an existing scope.  If not `True`, and the existing scope already has
          the given variables, an error is raised.
      """
      super(UGRNNCell, self).__init__(_reuse=reuse)
      self._num_units = num_units
      self._initializer = initializer
      self._forget_bias = forget_bias
      self._activation = activation
      self._reuse = reuse
      self._linear = None
function_tokens: def __init__ ( self , num_units , initializer = None , forget_bias = 1.0 , activation = math_ops . tanh , reuse = None ) : super ( UGRNNCell , self ) . __init__ ( _reuse = reuse ) self . _num_units = num_units self . _initializer = initializer self . _forget_bias = forget_bias self . _activation = activation self . _reuse = reuse self . _linear = None