// Given a V1 SavedModel, returns a MLIR module containing the functions,
// expressed with tf_executor dialect.
absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>> ConvertSavedModelV1ToMlir(
    const SavedModelBundle& saved_model, absl::Span<std::string> exported_names,
    mlir::MLIRContext* context, MLIRImportOptions options = {});

  if (!load_status.ok()) {
    LOG(ERROR) << "Failed to load saved model v1 '" << saved_model_dir
               << "': " << load_status;
    return load_status;
  }

  auto module_or =
      ConvertSavedModelV1ToMlir(*bundle_ptr, exported_names, context, options);
  if (!module_or.status().ok()) {
    LOG(ERROR) << "SavedModel V1 import failed: " << module_or.status();
  }
  return module_or;
}

  import_options.lift_variables = lift_variables;
  import_options.include_variables_in_initializers =
      include_variables_in_initializers;
  auto module_or =
      ConvertSavedModelV1ToMlir(bundle, absl::Span<std::string>(exported_names),
                                &context, import_options);
  if (!module_or.status().ok()) {
    tsl::Set_TF_Status_from_Status(status, module_or.status());

}

absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>> ConvertSavedModelV1ToMlir(
    const SavedModelBundle& saved_model, absl::Span<std::string> exported_names,
    mlir::MLIRContext* context, MLIRImportOptions options) {
  std::optional<absl::Span<const std::string>> optional_exported_names;
  // TODO(b/187062560): Change ConvertSavedModelV1ToMlir() to take an optional