def after_training_exp(self, strategy, **kwargs):
        """After the current experience (batch), update prototypes and
        store observed samples for replay.
        """
        self._update_prototypes()  # Update prototypes
        self.storage_policy.update(strategy)  # Update memory
After the current experience (batch), update prototypes and
        store observed samples for replay.
        
avalanche/training/plugins/cope.py