TOOLKIT# Functions# models.slca_utils.toolkit.accuracy(y_pred, y_true, nb_old, increment=10)[source]# models.slca_utils.toolkit.count_parameters(model, trainable=False)[source]# models.slca_utils.toolkit.makedirs(path)[source]# models.slca_utils.toolkit.split_images_labels(imgs)[source]# models.slca_utils.toolkit.target2onehot(targets, n_classes)[source]# models.slca_utils.toolkit.tensor2numpy(x)[source]#