STAR PERTURBER# Classes# class models.star_utils.star_perturber.Perturber(continual_model)[source]# Bases: object EPS = 1e-20# get_loss(X, y)[source]# init_rand(model)[source]# perturb_model(X, y)[source]# restore_model()[source]# Functions# models.star_utils.star_perturber.add_into_weights(model, diff, coeff=1.0)[source]# models.star_utils.star_perturber.add_perturb_args(parser)[source]# models.star_utils.star_perturber.diff_in_weights(model, proxy)[source]# models.star_utils.star_perturber.normalize(perturbations, weights)[source]# models.star_utils.star_perturber.normalize_grad(weights, ref_weights)[source]# models.star_utils.star_perturber.add_into_weights(model, diff, coeff=1.0)[source]# models.star_utils.star_perturber.add_perturb_args(parser)[source]# models.star_utils.star_perturber.diff_in_weights(model, proxy)[source]# models.star_utils.star_perturber.normalize(perturbations, weights)[source]# models.star_utils.star_perturber.normalize_grad(weights, ref_weights)[source]#