How to use the confounds.base.Augment function in confounds

param_list_values = []
    # elif name in ('residualize_ridge', 'residualize_kernelridge'):
    #     from confounds.base import Residualize
    #     xfm =  Residualize(model='KernelRidge')
    #     param_list_values = [('param_1', range_param1),
    #                          ('criterion_2', criteria),
    #                          ]
    # elif name in ('residualize_gpr', 'residualize_gaussianprocessregression'):
    #     from confounds.base import Residualize
    #     xfm =  Residualize(model='GPR')
    #     param_list_values = [('param_1', range_param1),
    #                          ('criterion_2', criteria),
    #                          ]
    elif xfm_name in ('augment', 'pad'):
        from confounds.base import Augment
        xfm =  Augment()
        param_list_values = []
    elif xfm_name in ('dummy', 'passthrough'):
        from confounds.base import DummyDeconfounding
        xfm =  DummyDeconfounding()
        param_list_values = []
    else:
        raise ValueError('Unrecognized model name! '
                         'Choose one of Residualize, Augment or Dummy.')

    param_grid = make_parameter_grid(xfm_name, param_list_values)
    return xfm, xfm_name, param_grid