code: def testSerialization_KerasModel(self):
      model = test_utils.build_simple_dense_model()
      quantized_model = quantize.quantize_model(model)
      self._train_model(quantized_model)
  
      _, model_file = tempfile.mkstemp(".h5")
      tf.keras.models.save_model(quantized_model, model_file)
      with quantize.quantize_scope():
          loaded_model = tf.keras.models.load_model(model_file)
  
      self._assert_models_equal(quantized_model, loaded_model)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tempfile
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.keras import compat
  from tensorflow_model_optimization.python.core.keras import test_utils
  from tensorflow_model_optimization.python.core.quantization.keras import quantize
  from tensorflow_model_optimization.python.core.quantization.keras import quantize_config
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
label_desc: Use image node_id 7 for calling the QuantizeIntegrationTest obj's underlying member method code with example usage: obj.testSerialization_KerasModel() without return types