for _ in range(8):
      yield {
          'input_tensor': ops.convert_to_tensor(
              np.random.uniform(low=0, high=150, size=(1, 4)).astype('f4')
          ),
      }

  def test_static_range_quantization_by_default(self):
    model = self.SimpleModel()

    saved_model_save.save(model, self._input_saved_model_path)

    # Use default QuantizationOptions.
    converted_model = quantize_model.quantize(