code: def compare_output_and_grad_input_set_weights(
      self, model1, model2, input_data, rtol=1e-6, atol=1e-6
  ):
      if model1.get_weights():
          model2.set_weights(model1.get_weights())
      self.compare_output_and_grad_input(
          model1, model2, input_data, rtol, atol
      )
  
imports: from __future__ import print_function
  import logging
  import shutil
  from unittest import TestCase
  import keras.backend
  from zoo.common.nncontext import *
  from zoo.feature.image import ImageSet
label_desc: Use image node_id 13 for calling the ZooTestCase obj's underlying member method code with example usage: obj.compare_output_and_grad_input_set_weights(model1, model2, input_data, rtol, atol) without return types