code: def _update(self, update_dict, batch_size):
      scalarized = scalarize_dict_values(update_dict)
      for k, v in scalarized.items():
          # Skipping .item() call
          # __format__() for tensor has .item
          # Therefore it will implicitly get called when needed
          self.meters[k].update(v, batch_size)
  
imports: from collections import defaultdict, deque
  import torch
  from mmf.common.registry import registry
  from mmf.utils.distributed import reduce_dict
  from mmf.utils.general import scalarize_dict_values
label_desc: Use image node_id 3 for calling the Meter obj's underlying member method code with example usage: obj._update(update_dict, batch_size) without return types