def METHOD_NAME(target_nnadapter):
    inputs1 = {}
    inputs2 = {}
    if target_nnadapter:
        inputs1 = {"X": ["input_data"]}
        inputs2 = {
            "input_data":
            TensorConfig(data_gen=partial(generate_input)),
        }
    else:
        inputs1 = {
            "X": ["input_data"],
            "Scale": ["scale_data"],
            "Bias": ["bias_data"]
        }
        inputs2 = {
            "input_data":
            TensorConfig(data_gen=partial(generate_input)),
            "scale_data":
            TensorConfig(data_gen=partial(generate_scale)),
            "bias_data": TensorConfig(data_gen=partial(generate_bias))
        }
    return [inputs1, inputs2]