BASE# Classes# class models.slca_utils.base.BaseLearner(device, args)[source]# Bases: object after_task()[source]# build_rehearsal_memory(data_manager, per_class, mode='icarl')[source]# eval_task()[source]# property exemplar_size# property feature_dim# incremental_train()[source]# property samples_per_class# save_checkpoint(filename, head_only=False)[source]#