class_docstr: Layer that applies an update to the cost function based input activity.
  
  Args:
      l1: L1 regularization factor (positive float).
      l2: L2 regularization factor (positive float).
  
  Input shape:
      Arbitrary. Use the keyword argument `input_shape`
      (tuple of integers, does not include the samples axis)
      when using this layer as the first layer in a model.
  
  Output shape:
      Same shape as input.
code: def call(self, inputs):
      return inputs
  
file_path: keras/keras/layers/regularization/activity_regularization.py
imports: from keras import regularizers
  from keras.api_export import keras_export
  from keras.layers.layer import Layer
label_desc: Use image node_id 2 for calling the ActivityRegularization obj's underlying member method code with example usage: obj.call(inputs) and returns: inputs