TF_ASSIGN_OR_RETURN(std::string calibration_saved_model_dir,
                        CreateTmpDir());
    py_function_library.SaveExportedModel(
        calibration_saved_model_dir, calibration_exported_model,
        saved_model_path, tags, signature_def_map);

    py_function_library.RunCalibration(
        calibration_saved_model_dir, signature_keys, tags,
        quantization_options.force_graph_mode_calibration(),

      signature_keys=list(quant_opts.signature_keys),
      signature_def_map_serialized=_serialize_signature_def_map(
          signature_def_map
      ),
      py_function_library=py_function_lib.PyFunctionLibrary(),
  )


def _run_static_range_ptq(
    src_saved_model_path: str,
    dst_saved_model_path: str,
    quant_opts: _QuantizationOptions,

  # comments in `NotNoneT`.
  return True


class PyFunctionLibrary(pywrap_function_lib.PyFunctionLibrary):
  """Wrapper class for overridden python method definitions.

  This class contains python methods that overrides C++ virtual functions
  declared in `pywrap_function_lib.PyFunctionLibrary`.
  """

  # LINT.IfChange(save_exported_model)
  def save_exported_model(
      self,

                  PyObject* input_contents_txt_raw, bool extended_return,
                  PyObject* debug_info_txt_raw, bool enable_mlir_converter,
                  const tensorflow::quantization::PyFunctionLibrary*
                      quantization_py_function_library) {
  // Use Python C API to validate and convert arguments. In py3 (bytes),
  // in py2 (str).
  auto ConvertArg = [&](PyObject* obj, bool* error) {