layers.py 文件源码

def __init__(self, shortlist_size, decoder_out_size, state_size,
                 trainable=True, scope='PointingSoftmaxOutput'):
        """Initializes a new instance.

        Arguments:
          shorlist_size: a `int` representing the dimension of the known output vocabulary.
          decoder_out_size: a `int` representing the output size of the recoder.
          state_size: a `int` representing the size of the attention states.
          trainable: if `True`, the created variables will be trainable.
          scope: VariableScope for the created subgraph;.
        """
        super(PointingSoftmaxOutput, self).__init__(trainable=trainable, scope=scope)
        self._shortlist_size = shortlist_size
        self._decoder_out_size = decoder_out_size
        self._state_size = state_size