layers.py 文件源码

def hyper_norm(self, layer, dimensions, scope="hyper"):
    with tf.variable_scope(scope):
      zw = rnn_cell._linear(self.hyper_output,
                            self.hyper_embedding_size, False, scope=scope+ "z")
      alpha = rnn_cell._linear(zw, dimensions, False, scope=scope+ "alpha")
      result = tf.mul(alpha, layer)

      return result