TypeError: __init__() got an unexpected keyword argument 'nl_layer'

[minglinz]

When I define the option "--netD" or "-netD2" as 'basic_128' or 'basic_256', the function "define_D" should use the parameter "nl_layer", but it report an error.

The condition judge part of function "define_D" is like this:

if netD == 'basic_128':
        net = D_NLayers(input_nc, ndf, n_layers=2, norm_layer=norm_layer, nl_layer=nl_layer)
    elif netD == 'basic_256':
        net = D_NLayers(input_nc, ndf, n_layers=3, norm_layer=norm_layer, nl_layer=nl_layer)
    elif netD == 'basic_128_multi':
        net = D_NLayersMulti(input_nc=input_nc, ndf=ndf, n_layers=2, norm_layer=norm_layer, num_D=num_Ds)
    elif netD == 'basic_256_multi':
        net = D_NLayersMulti(input_nc=input_nc, ndf=ndf, n_layers=3, norm_layer=norm_layer, num_D=num_Ds)
    else:
        raise NotImplementedError('Discriminator model name [%s] is not recognized' % net)
    return init_net(net, init_type, init_gain, gpu_ids)