def METHOD_NAME():
    data = (
        np.array([-6553, -6552.8, -6552.6, -6552.4, -6552.2, 6553.2, 6553.4, 6553.6, 6553.8, 6554])
        .astype("float32")
        .reshape((2, 5))
    )
    output = (
        np.array([0, 1, 2, 3, 4, 65531, 65532, 65533, 65534, 65535])
        .astype("uint16")
        .reshape((2, 5))
    )
    quant_args = {"out_zero_point": np.int32(32765), "out_scale": np.float32(0.2)}
    quantize_test_driver(
        in_dtype="float32",
        quant_args=quant_args,
        axis=-1,
        out_dtype="uint16",
        in_data=data,
        verify_output_data=output,
    )