if (!module) return failure();

  tensorflow::GraphExportConfig confs;
  confs.export_entry_func_to_flib = export_entry_func_to_flib;
  confs.export_original_tf_func_name = export_original_tf_func_name;

  absl::StatusOr<std::unique_ptr<tensorflow::GraphDef>> graphdef_or(
      tensorflow::tf2xla::v2::ConvertMlirToGraphdef(module, confs));
  if (!graphdef_or.status().ok()) {

    <<: *minio-common
    hostname: minio4
    volumes:
      - data4-1:/data1
      - data4-2:/data2
      - data4-3:/data3

  nginx:
    image: nginx:1.19.2-alpine
    volumes:
      - ./nginx.conf:/etc/nginx/nginx.conf:ro
    ports:
    - "9000:9000"
    - "9001:9001"
    depends_on:
      - minio1
      - minio2
      - minio3
      - minio4

## By default this config uses default local driver,

  FunctionLibraryDefinition flib_def(OpRegistry::Global(),
                                     FunctionDefLibrary());
  GraphExportConfig confs;
  auto graph = std::make_unique<Graph>(flib_def);
  absl::flat_hash_set<Node*> control_ret_nodes;
  Status status = tensorflow::tf2xla::v2::ConvertMlirToGraph(
      module_in, confs, &graph, &flib_def, &control_ret_nodes);
  if (!status.ok()) {
    mlir::emitError(mlir::UnknownLoc::get(&ctx)) << status.message();