code: def new_prelu(self, name: str, input_layer_name: str=None):
          
          input_layer = self.__network.get_layer(input_layer_name)
  
          with tf.variable_scope(name):
              channels_input = int(input_layer.get_shape()[-1])
              alpha = self.__make_var('alpha', shape=[channels_input])
              output = tf.nn.relu(input_layer) + tf.multiply(alpha, -tf.nn.relu(-input_layer))
  
          self.__network.add_layer(name, layer_output=output)
docs: Creates a new prelu layer with the given name and input.
          :param name: name for this layer.
          :param input_layer_name: name of the layer that serves as input for this one.