class_docstr: Average meter group for multiple average meters.
class_docstr_tok: ["Average","meter","group","for","multiple","average","meters","."]
docstr: Update the meter group with a dict of metrics.
  Non-exist average meters will be automatically created.
docstr_tok: ["Update","the","meter","group","with","a","dict","of","metrics",".","Non-exist","average","meters","will","be","automatically","created","."]
code: def update(self, data):
      """
      Update the meter group with a dict of metrics.
      Non-exist average meters will be automatically created.
      """
      for k, v in data.items():
          if k not in self.meters:
              self.meters[k] = AverageMeter(k, ":4f")
          self.meters[k].update(v)
  
imports: import logging
  from collections import OrderedDict
  import time
  import numpy
  import torch
  import nni.retiarii.nn.pytorch
  from nni.nas.pytorch.mutables import Mutable, InputChoice, LayerChoice
label_desc: Use image node_id 2 for calling the AverageMeterGroup obj's underlying member method code with example usage: obj.update(data) without return types