# Use default QuantizationOptions.
    converted_model = quantize_model.quantize(
        self._input_saved_model_path,
        representative_dataset=self._simple_model_data_gen(),
    )

    self.assertIsNotNone(converted_model)
    self.assertCountEqual(
        converted_model.signatures._signatures.keys(), {'serving_default'}
    )

    # Indirectly prove that it is performing a static-range quantization

    # concurrency issue.
    with self.pool:
      jobs = []
      for _ in range(10):
        jobs.append(self.pool.submit(self._convert_with_calibration))

      for job in jobs:
        self.assertIsNotNone(job.result())


if __name__ == '__main__':