def METHOD_NAME():
    np.random.seed(20230814)
    num_samples = 31
    sample_size = 31
    samples = np.random.normal(size=(num_samples,
                                     sample_size)).astype(np.float32)
    reference = numpy_layer_norm(samples)
    tester = test_util.ModelTester()
    x = tester.inputs(samples)
    ref = tester.make_reference(reference)
    y = lbann.LayerNorm(x)
    # Set test loss with a fixed tolerance (since all the values are close to
    # zero by design)
    tester.set_loss(lbann.MeanSquaredError(y, ref), tolerance=1e-8)
    tester.set_check_gradients_tensor(lbann.Square(y))
    return tester