def METHOD_NAME():
    data = (
        np.array([-63.5, -63, -62.5, -62, -61.5, 30, 31, 31.5, 31.75, 32])
        .astype("float32")
        .reshape((2, 5))
    )
    output = np.array([0, 1, 2, 3, 4, 243, 247, 249, 250, 251]).astype("uint8").reshape((2, 5))
    quant_args = {
        "out_zero_point": np.array([127, 123]).astype("int32"),
        "out_scale": np.array([0.5, 0.25]).astype("float32"),
    }
    quantize_test_driver(
        in_dtype="float32",
        quant_args=quant_args,
        axis=0,
        out_dtype="uint8",
        in_data=data,
        verify_output_data=output,
    )