human
Solve the following python programming problem given the following code:
# A layer that creates an activity regularization loss
class ActivityRegularizationLayer(keras.layers.Layer):
    def __init__(self, rate=1e-2):
        super(ActivityRegularizationLayer, self).__init__()
        self.rate = rate

    def call(self, inputs):
        self.add_loss(self.rate * tf.reduce_sum(inputs))
        return inputs

Given the above code, generate some markdown instructions for it.
assistant
#Here is the Python program you requested.

add_loss() 方法
在编写层的 call() 方法时，您可以在编写训练循环时创建想要稍后使用的损失张量。这可以通过调用 self.add_loss(value) 来实现：