code: def __str__(self):
      loss_str = []
      for name, meter in self.meters.items():
          if "train" in name:
              loss_str.append(
                  f"{name}: {meter.median:.4f} ({meter.global_avg:.4f})"
              )
          else:
              # In case of val print global avg
              loss_str.append(f"{name}: {meter.global_avg:.4f}")
  
      return self.delimiter.join(loss_str)
  
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 8 for calling the Meter obj's underlying member method code with example usage: obj.__str__() and returns: self