// MLAs come along
  if (Env::Default()->FileExists(variables_dir).ok()) {
    tf_package.has_checkpoint_ = true;
    tf_package.variables_filepath_ = tensorflow::io::JoinPath(
        variables_dir, tensorflow::kSavedModelVariablesFilename);
    tf_package.variable_reader_ = std::make_unique<tensorflow::BundleReader>(
        tensorflow::Env::Default(), tf_package.variables_filepath_);
    tensorflow::Tensor object_graph_tensor;

// Directory in which to save the SavedModel variables.
inline constexpr char kSavedModelVariablesDirectory[] = "variables";

// SavedModel variables filename.
inline constexpr char kSavedModelVariablesFilename[] = "variables";

// SavedModel SignatureDef keys for the initialization and train ops. Used in
// V2 SavedModels.
inline constexpr char kSavedModelInitOpSignatureKey[] = "__saved_model_init_op";

std::string CheckpointPrefix(StringPiece saved_model_dir) {
  return io::JoinPath(testing::TensorFlowSrcRoot(), "cc/saved_model/testdata",
                      saved_model_dir, kSavedModelVariablesDirectory,
                      kSavedModelVariablesFilename);
}

class RestoreOpsTest : public ::testing::Test {
 public:
  RestoreOpsTest()
      : device_mgr_(testing::CreateTestingDeviceMgr()),

        << "No checkpoint found, assuming this is a program-only SavedModel";
  } else {
    // Load the variables checkpoint reader.
    const std::string variables_prefix =
        io::JoinPath(variables_dir, kSavedModelVariablesFilename);
    bundle->variable_reader_ =
        std::make_unique<BundleReader>(Env::Default(), variables_prefix);
    TF_RETURN_WITH_CONTEXT_IF_ERROR(
        bundle->variable_reader_->status(),