(self,
               cell,
               num_proj,
               activation=None,
               input_size=None,
               reuse=None)
Create a cell with input projection.

    Args:
      cell: an RNNCell, a projection of inputs is added before it.
      num_proj: Python integer.  The dimension to project to.
      activation: (optional) an optional activation function.
      input_size: Deprecated and unused.
      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.

    Raises:
      TypeError: if cell is not an RNNCell.
Create a cell with input projection.
Create a cell with input projection .
def __init__(self,
               cell,
               num_proj,
               activation=None,
               input_size=None,
               reuse=None):
    """Create a cell with input projection.

    Args:
      cell: an RNNCell, a projection of inputs is added before it.
      num_proj: Python integer.  The dimension to project to.
      activation: (optional) an optional activation function.
      input_size: Deprecated and unused.
      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.

    Raises:
      TypeError: if cell is not an RNNCell.
    """
    super(InputProjectionWrapper, self).__init__(_reuse=reuse)
    if input_size is not None:
      tf.logging.warn("%s: The input_size parameter is deprecated.", self)
    assert_like_rnncell("cell", cell)
    self._cell = cell
    self._num_proj = num_proj
    self._activation = activation
    self._linear = None
def __init__ ( self , cell , num_proj , activation = None , input_size = None , reuse = None ) : super ( InputProjectionWrapper , self ) . __init__ ( _reuse = reuse ) if input_size is not None : tf . logging . warn ( "%s: The input_size parameter is deprecated." , self ) assert_like_rnncell ( "cell" , cell ) self . _cell = cell self . _num_proj = num_proj self . _activation = activation self . _linear = None