def METHOD_NAME(self):
    """
    init to load the MNIST data for DataTransforms Tests
    """
    super(TestDataTransforms, self).METHOD_NAME()
    self.current_dir = os.path.dirname(os.path.abspath(__file__))
    (x_train, y_train), (x_test,
                         y_test) = tf.keras.datasets.mnist.load_data()
    train = dc.data.NumpyDataset(x_train, y_train)
    # extract only the images (no need of the labels)
    data = (train.X)[0]
    # reshaping the vector to image
    data = np.reshape(data, (28, 28))
    self.d = data