// Holds information about the asset files used for the model. It essentially
  // associates asset file names with the tensors to which the asset file names
  // should be fed.
  repeated AssetFileDef asset_file_defs = 8;

  // SaverDef including the information required for saving and restoring
  // variables. This field is not set if there are no variables in the exported

  TF_ASSIGN_OR_RETURN(const llvm::SmallVector<AssetFileDef> asset_file_defs,
                      RunExportPasses(export_opts, *ctx, module_op));

  return ConvertMlirModuleToExportedModel(
      module_op, checkpoint_dir, function_aliases,
      {asset_file_defs.begin(), asset_file_defs.end()});
}

absl::StatusOr<ExportedModel> ExportCalibrationModel(

//   "tf_saved_model.index_path", if the bound input is attached to the
//   `tf_saved_model::AssetOp`.
// * Strips the "assets/" prefix of the filename when setting it to
//   `AssetFileDef`.
FailureOr<SmallVector<tensorflow::AssetFileDef>> ConvertAssetArgs(
    ModuleOp module_op);

}  // namespace mlir::quant

                      absl::Span<const AssetFileDef> assets,
                      std::unique_ptr<Asset>* output) {
  int asset_index = asset.asset_file_def_index();
  if (asset_index >= assets.size()) {
    return errors::FailedPrecondition(
        "SavedAsset contained asset index ", asset_index,
        " but AssetFileDef only contains ", assets.size(), " # of assets");
  }

Status LoadSavedAsset(ImmediateExecutionContext* ctx, const SavedAsset& asset,
                      const std::string& saved_model_dir,
                      absl::Span<const AssetFileDef> assets,
                      std::unique_ptr<Asset>* output);

// Creates a TFConcreteFunction from a SavedConcreteFunction.
Status LoadTFConcreteFunction(
    const SavedConcreteFunction& saved_concrete_function,

      saver_def=_get_saver_def_or_none(exported_model),
      checkpoint_dir=exported_model.checkpoint_dir,
      function_aliases=exported_model.function_aliases,
      asset_file_defs=exported_model.asset_file_defs,
  )

  _copy_assets(src_saved_model_path, dst_saved_model_path)

  # Dummy value to indicate successful run, as `None` would indicate error. See
  # comments in `NotNoneT`.
  return True

SavedModelSignatureDefImporterLite::ConvertAssets() {
  std::vector<AssetFileDef> asset_file_defs;
  TF_RETURN_IF_ERROR(
      internal::GetAssetFileDefs(input_.meta_graph_def(), &asset_file_defs));

  std::vector<AssetInfo> results;
  results.reserve(asset_file_defs.size());

  mlir::OpBuilder builder(module_->getBodyRegion());

      }
    }
  }
  collection_def {
    key: "saved_model_assets"
    value {
      any_list {
        value {
          type_url: "type.googleapis.com/tensorflow.AssetFileDef"
          value: "\n\t\n\007Const:0\022\007foo.txt"
        }
      }
    }
  }
  collection_def {
    key: "trainable_variables"
    value {
      bytes_list {