(self, cell, input_keep_prob=1.0, output_keep_prob=1.0,
               seed=None)
Create a cell with added input and/or output dropout.

    Dropout is never used on the state.

    Args:
      cell: an RNNCell, a projection to output_size is added to it.
      input_keep_prob: unit Tensor or float between 0 and 1, input keep
        probability; if it is float and 1, no input dropout will be added.
      output_keep_prob: unit Tensor or float between 0 and 1, output keep
        probability; if it is float and 1, no output dropout will be added.
      seed: (optional) integer, the randomness seed.

    Raises:
      TypeError: if cell is not an RNNCell.
      ValueError: if keep_prob is not between 0 and 1.
Create a cell with added input and/or output dropout.
Create a cell with added input and / or output dropout .
def __init__(self, cell, input_keep_prob=1.0, output_keep_prob=1.0,
               seed=None):
    """Create a cell with added input and/or output dropout.

    Dropout is never used on the state.

    Args:
      cell: an RNNCell, a projection to output_size is added to it.
      input_keep_prob: unit Tensor or float between 0 and 1, input keep
        probability; if it is float and 1, no input dropout will be added.
      output_keep_prob: unit Tensor or float between 0 and 1, output keep
        probability; if it is float and 1, no output dropout will be added.
      seed: (optional) integer, the randomness seed.

    Raises:
      TypeError: if cell is not an RNNCell.
      ValueError: if keep_prob is not between 0 and 1.
    """
    if not isinstance(cell, RNNCell):
      raise TypeError("The parameter cell is not a RNNCell.")
    if (isinstance(input_keep_prob, float) and
        not (input_keep_prob >= 0.0 and input_keep_prob <= 1.0)):
      raise ValueError("Parameter input_keep_prob must be between 0 and 1: %d"
                       % input_keep_prob)
    if (isinstance(output_keep_prob, float) and
        not (output_keep_prob >= 0.0 and output_keep_prob <= 1.0)):
      raise ValueError("Parameter output_keep_prob must be between 0 and 1: %d"
                       % output_keep_prob)
    self._cell = cell
    self._input_keep_prob = input_keep_prob
    self._output_keep_prob = output_keep_prob
    self._seed = seed
def __init__ ( self , cell , input_keep_prob = 1.0 , output_keep_prob = 1.0 , seed = None ) : if not isinstance ( cell , RNNCell ) : raise TypeError ( "The parameter cell is not a RNNCell." ) if ( isinstance ( input_keep_prob , float ) and not ( input_keep_prob >= 0.0 and input_keep_prob <= 1.0 ) ) : raise ValueError ( "Parameter input_keep_prob must be between 0 and 1: %d" % input_keep_prob ) if ( isinstance ( output_keep_prob , float ) and not ( output_keep_prob >= 0.0 and output_keep_prob <= 1.0 ) ) : raise ValueError ( "Parameter output_keep_prob must be between 0 and 1: %d" % output_keep_prob ) self . _cell = cell self . _input_keep_prob = input_keep_prob self . _output_keep_prob = output_keep_prob self . _seed = seed