class_docstr: The Minibatch Max RAM metric.
  
  This plugin metric only works at training time.
class_docstr_tok: ["The","Minibatch","Max","RAM","metric",".","This","plugin","metric","only","works","at","training","time","."]
code: def after_training(self, strategy: "SupervisedTemplate") -> None:
      super().after_training(strategy)
      self._metric.stop_thread()
  
imports: import os
  import time
  from typing import Optional, List, TYPE_CHECKING
  from threading import Thread
  from psutil import Process
  from avalanche.evaluation import Metric, PluginMetric, GenericPluginMetric
  from avalanche.evaluation.metric_results import MetricResult
label_desc: Use image node_id 3 for calling the MinibatchMaxRAM obj's underlying member method code with example usage: obj.after_training(strategy) without return types