def METHOD_NAME(self):
    model = test_utils.get_model_from_layers(
        [test_utils.Bias()], input_shape=(1,)
    )
    model.compile(
        keras.optimizers.legacy.gradient_descent.SGD(0.1),
        "mae",
        run_eagerly=test_utils.should_run_eagerly(),
    )
    return model