code: def _after_training_exp(self, **kwargs):
      self.buffer.update(self)
      super()._after_training_exp(**kwargs)
  
imports: from typing import Callable, List, Sequence, Optional, Union
  from packaging.version import parse
  import warnings
  import torch
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn import Module, CrossEntropyLoss
  from torch.optim import Optimizer
  from torch import Tensor
  import math
  from copy import deepcopy
  from avalanche.training.plugins import SupervisedPlugin, EvaluationPlugin
  from avalanche.training.plugins.evaluation import default_evaluator
  from avalanche.training.templates import SupervisedMetaLearningTemplate
  from avalanche.training.storage_policy import ReservoirSamplingBuffer
label_desc: Use image node_id 7 for calling the LaMAML obj's underlying member method code with example usage: obj._after_training_exp() without return types