def METHOD_NAME(
    self,
    board='pynq-z2',
    part=None,
    clock_period=5,
    io_type='io_parallel',
    interface='axi_stream',
    driver='python',
    input_type='float',
    output_type='float',
    platform='xilinx_u250_xdma_201830_2',
):
    '''
    Create initial accelerator config with default parameters
    Args:
        board: one of the keys defined in supported_boards.json
        clock_period: clock period passed to hls project
        io_type: io_parallel or io_stream
        interface: `axi_stream`: generate hardware designs and drivers which exploit axi stream channels.
                   `axi_master`: generate hardware designs and drivers which exploit axi master channels.
                   `axi_lite` : generate hardware designs and drivers which exploit axi lite channels. (Don't use it
                   to exchange large amount of data)
        driver: `python`: generates the python driver to use the accelerator in the PYNQ stack.
                `c`: generates the c driver to use the accelerator bare-metal.
        input_type: the wrapper input precision. Can be `float` or an `ap_type`. Note: VivadoAcceleratorBackend
                         will round the number of bits used to the next power-of-2 value.
        output_type: the wrapper output precision. Can be `float` or an `ap_type`. Note:
                          VivadoAcceleratorBackend will round the number of bits used to the next power-of-2 value.
        platform: development target platform
    Returns:
        populated config
    '''
    board = board if board is not None else 'pynq-z2'
    config = super().METHOD_NAME(part, clock_period, io_type)
    config['AcceleratorConfig'] = {}
    config['AcceleratorConfig']['Board'] = board
    config['AcceleratorConfig']['Interface'] = interface  # axi_stream, axi_master, axi_lite
    config['AcceleratorConfig']['Driver'] = driver
    config['AcceleratorConfig']['Precision'] = {}
    config['AcceleratorConfig']['Precision']['Input'] = {}
    config['AcceleratorConfig']['Precision']['Output'] = {}
    config['AcceleratorConfig']['Precision']['Input'] = input_type  # float, double or ap_fixed<a,b>
    config['AcceleratorConfig']['Precision']['Output'] = output_type  # float, double or ap_fixed<a,b>
    if board.startswith('alveo'):
        config['AcceleratorConfig']['Platform'] = platform
    return config