tags_(std::move(tags)),
      signature_def_map_(std::move(signature_def_map)),
      signature_keys_(std::move(signature_keys)) {}

absl::Status CalibrationComponent::ExportToSavedModel(
    ModuleOp module_op, absl::string_view calibration_data_dir,
    const bool force_regenerate_calibration_data,
    const absl::string_view dst_saved_model_path) {

  // calibration process can use it to load and run the graph with the
  // representative dataset. Returns a failure status if the export fails.
  absl::Status ExportToSavedModel(ModuleOp module_op,
                                  absl::string_view calibration_data_dir,
                                  bool force_regenerate_calibration_data,

    *   Canned Estimators don’t support `input_layer_partitioner` arg in the
        API. If you have this arg, you will have to switch to `tf.compat.v1
        canned Estimators`.
    *   `Estimator.export_savedmodel` has been renamed to `export_saved_model`.
    *   When saving to SavedModel, Estimators will strip default op attributes.
        This is almost always the correct behavior, as it is more forwards