def METHOD_NAME():
    data = (
        np.array([-63.5, -63, -62.5, -62, -61.5, 62, 62.5, 63, 63.5, 64])
        .astype("float32")
        .reshape((2, 5))
    )
    output = (
        np.array([-128, -127, -126, -125, -124, 123, 124, 125, 126, 127])
        .astype("int8")
        .reshape((2, 5))
    )
    quant_args = {"out_zero_point": np.int32(-1), "out_scale": np.float32(0.5)}
    quantize_test_driver(
        in_dtype="float32",
        quant_args=quant_args,
        axis=-1,
        out_dtype="int8",
        in_data=data,
        verify_output_data=output,
    )