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() 메서드
레이어의 call() 메서드를 작성할 때는 훈련 루프를 작성할 때 나중에 사용하려는 손실 텐서를 만들 수 있습니다. self.add_loss(value)를 호출하면 됩니다.