def METHOD_NAME(layer_pairs, consecutive_layer_list, scaling_factor_list):
    """
    Helper function that formats data from cross layer scaling and bn fold for usage by high bias fold
    :param layer_pairs: info obtained after batchnorm fold
    :param consecutive_layer_list: info obtained after cross layer scaling
    :param scaling_factor_list: scaling params corresponding to consecutive_layer_list
    :return: data formatted for high bias fold
    """
    # convert info after batch norm fold and cross layer scaling for usage by high bias fold api
    folded_pairs = []
    for (conv_op, bn_op_with_meta, _fold_upstream_flag) in layer_pairs:
        folded_pairs.append((conv_op, bn_op_with_meta.op))
    # List that hold a boolean for if there were relu activations between layers of each cross layer scaling set
    is_relu_activation_in_cls_sets = []
    # Note the user is expected to fill in this list manually
    # Convert to a list of cls-set-info elements
    cls_set_info_list = CrossLayerScaling.create_cls_set_info_list(consecutive_layer_list,
                                                                   scaling_factor_list,
                                                                   is_relu_activation_in_cls_sets)
    return folded_pairs, cls_set_info_list