code: def testSerialization_TFCheckpoint(self):
      model = test_utils.build_simple_dense_model()
      quantized_model = quantize.quantize_model(model)
      self._train_model(quantized_model)
  
      _, tf_weights = tempfile.mkstemp(".tf")
      quantized_model.save_weights(tf_weights)
  
      same_architecture_model = test_utils.build_simple_dense_model()
      same_architecture_model = quantize.quantize_model(
          same_architecture_model
      )
      same_architecture_model.load_weights(tf_weights)
  
      self._assert_outputs_equal(
          quantized_model, same_architecture_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 10 for calling the QuantizeIntegrationTest obj's underlying member method code with example usage: obj.testSerialization_TFCheckpoint() without return types