std::unique_ptr<StaticDeviceMgr> device_mgr_;
  EagerContextPtr ctx_;
};

// Sanity check that constructing a tensorflow::Variable from a SavedVariable
// 1. does not cause an error
// 2. preserves dtype and shape.
TEST_P(SavedVariableLoadingTest, LoadSavedVariableSuccessful) {
  auto& test_params = GetParam();
  DataType dtype = std::get<0>(test_params);
  TensorShape shape(std::get<1>(test_params));

  SavedVariable saved_variable;

  // You can implement all the usual class fixture members here.
};

// Then, use the TEST_P macro to define as many parameterized tests
// for this fixture as you want. The _P suffix is for "parameterized"
// or "pattern", whichever you prefer to think.

TEST_P(FooTest, DoesBlah) {
  // Inside a test, access the test parameter with the GetParam() method
  // of the TestWithParam<T> class:

  if (shape.dims() != 0) {
    return errors::InvalidArgument(
        "Tensor expected to have scalar shape found rank: ", shape.dims());
  }
  return absl::OkStatus();
}

TEST_P(UnifiedAPI, TestTensorShapeScalar) {
  if (UseFunction() && UseMlir()) {
    // TODO(b/173074167): Remove this.
    GTEST_SKIP() << "MlirTensor::Shape is not implemented yet.";
  }
  AbstractContextPtr ctx;
  {

	exit_1
fi

./mc admin user svcacct info minio1 testsvc
if [ $? -ne 0 ]; then
	echo "svc account not mirrored, exiting.."
	exit_1
fi

./mc admin user svcacct info minio2 testsvc
if [ $? -ne 0 ]; then
	echo "svc account not mirrored, exiting.."
	exit_1
fi

./mc admin user svcacct rm minio1 testsvc
if [ $? -ne 0 ]; then
	echo "removing svc account failed, exiting.."
	exit_1

@Incubating
public interface TestSpecs {

    /**
     * Creates a new test selection for the target task.
     *
     * @param taskPath The target task.
     * @return A new test selection.
     */
    TestSpec forTaskPath(String taskPath);

  // You can implement all the usual class fixture members here.
};

// Then, use the TEST_P macro to define as many parameterized tests
// for this fixture as you want. The _P suffix is for "parameterized"
// or "pattern", whichever you prefer to think.

TEST_P(FooTest, DoesBlah) {
  // Inside a test, access the test parameter with the GetParam() method
  // of the TestWithParam<T> class:

	return
}

func TestParallelPuller(t *testing.T) {
	pod := &v1.Pod{
		ObjectMeta: metav1.ObjectMeta{
			Name:            "test_pod",
			Namespace:       "test-ns",
			UID:             "bar",
			ResourceVersion: "42",
		}}

	cases := pullerTestCases()

	useSerializedEnv := false
	for _, c := range cases {

// https://github.com/google/googletest/blob/dcc92d0ab6c4ce022162a23566d44f673251eee4/googletest/docs/advanced.md#value-parameterized-tests
class CSavedModelAPITest : public ::testing::TestWithParam<bool> {};

TEST_P(CSavedModelAPITest, LoadsSavedModelWithTags) {
  TF_Status* status = TF_NewStatus();
  TFE_ContextOptions* opts = TFE_NewContextOptions();
  bool use_tfrt = GetParam();
  if (use_tfrt) {
    TFE_DeleteContextOptions(opts);

    TF_SetTracingImplementation(std::get<0>(GetParam()), status.get());
    Status s = StatusFromTF_Status(status.get());
    CHECK_EQ(errors::OK, s.code()) << s.message();
  }
};

TEST_P(UnifiedCAPI, TestBasicEager) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);
  TFE_ContextOptions* opts = TFE_NewContextOptions();

  GradientRegistry registry_;
  Status status_;

 public:
  bool UseMlir() const { return strcmp(std::get<0>(GetParam()), "mlir") == 0; }
  bool UseFunction() const { return std::get<2>(GetParam()); }
};

TEST_P(CppGradients, TestReluGrad) {
  status_ = registry_.Register("Relu", ReluRegisterer);
  ASSERT_EQ(errors::OK, status_.code()) << status_.message();

  auto ReluGradModel = BuildGradModel(ReluModel, registry_);