def METHOD_NAME():
    if skip_runtime_test():
        return
    np.random.seed(0)
    shape = [3, 5, 5]
    for batch in [1, 2]:
        for bias in ["none", "add_4d"]:
            mod, params = _get_model(shape=(batch, *shape), channels=1, bias_type=bias)
            compare_inference_with_ref(mod, params)