def METHOD_NAME():
    """Download keyword_scrambled and test for Relay conversion.
    In future, this test can be extended for CMSIS-NN"""
    # download the model
    base_url = (
        "https://github.com/tensorflow/tflite-micro/raw/"
        "de8f61a074460e1fa5227d875c95aa303be01240/"
        "tensorflow/lite/micro/models"
    )
    file_to_download = "keyword_scrambled.tflite"
    file_saved = "keyword_scrambled.tflite"
    model_file = download_testdata("{}/{}".format(base_url, file_to_download), file_saved)
    with open(model_file, "rb") as f:
        tflite_model_buf = f.read()
    input_shape = (1, 96)
    dtype = "int8"
    in_min, in_max = get_dtype_range(dtype)
    rng = np.random.default_rng(12345)
    input_data = rng.integers(in_min, high=in_max, size=input_shape, dtype=dtype)
    with pytest.raises(tvm.error.OpNotImplemented):
        _, _ = _convert_to_relay(tflite_model_buf, input_data, "input")