code: def call(self, inputs):
      self.add_loss(1e-2 * torch.sum(inputs))
      return inputs
  
file_path: keras/guides/writing_a_custom_training_loop_in_torch.py
imports: import os
  import torch
  import keras
  import numpy
label_desc: Use image node_id 1 for calling the ActivityRegularizationLayer obj's underlying member method code with example usage: obj.call(inputs) and returns: inputs