def METHOD_NAME(art_warning, get_default_mnist_subset):
    try:
        (_, _), (x_test_mnist, y_test_mnist) = get_default_mnist_subset
        predictions = classifier.predict(x_test_mnist)
        assert predictions.shape == y_test_mnist.shape
        assert classifier.nb_classes == 10
        loss_gradients = classifier.loss_gradient(x_test_mnist[:11], y_test_mnist[:11])
        assert loss_gradients.shape == x_test_mnist[:11].shape
    except ARTTestException as e:
        art_warning(e)