CreateMlirContextForQuantization();

  absl::StatusOr<absl::flat_hash_map<FunctionName, FunctionAlias>>
      function_aliases = GetFunctionAliases(saved_model_path, tags);
  if (!function_aliases.ok()) {
    return absl::InternalError(absl::StrCat(
        "Failed to get function alias: ", function_aliases.status().message()));
  }

  absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>> module =

    """Gets the function aliases in the output saved model."""
    loader = loader_impl.SavedModelLoader(output_saved_model_path)
    return loader.get_meta_graph_def_from_tags(
        tags
    ).meta_info_def.function_aliases

  def _create_matmul_model(
      self,
      input_shape: Sequence[int],
      weight_shape: Sequence[int],
      saved_model_path: str,
      bias_fn: Optional[ops.Operation] = None,

      signature_def_map,
      tags,
      init_op_name=exported_model.init_node_name,
      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)