absl::StatusOr<ExportedModel> exported_model = ModuleOpToExportedModel(
      *cloned_module_ref, context, kTfQuantPtqPreCalibrationStepName,
      /*unfreeze_constants=*/!quantization_options.freeze_all_variables(),
      function_aliases);
  if (!exported_model.status().ok()) {
    return absl::InternalError(
        absl::StrCat("Failed to export calibration model: ",

    quantization_options.signature_keys.append(
        signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY
    )

  if not quantization_options.HasField('freeze_all_variables'):
    quantization_options.freeze_all_variables = True

  if quantization_options.enable_legacy_weight_only:
    raise ValueError(
        'Legacy weight-only is deprecated. Use weight-only quantization method.'
    )

  // Setting this to `false` is an experimental feature and quantization may
  // fail. To quantize models larger than 2 GiB, this should be set to `false`.
  // If not set, it defaults to `true`.
  optional bool freeze_all_variables = 9;

  // Enables channel-wise quantization. By default, channel-wise quantization is
  // not applied regardless of the op support. Currently, it is supported for

            preset_method=_PresetMethod.METHOD_STATIC_RANGE_INT8
        ),
        tags=tags,
        signature_keys=['serving_default'],
        op_set=quant_opts_pb2.TF,
        freeze_all_variables=False,
    )

    converted_model = quantize_model.quantize(
        self._input_saved_model_path,
        self._output_saved_model_path,
        quantization_options,