code: def __call__(self, num_update, backbone: torch.nn.Module):
      if (
          self.rank is 0
          and num_update > 0
          and num_update % self.frequent == 0
      ):
          backbone.eval()
          self.ver_test(backbone, num_update)
          backbone.train()
  
imports: import logging
  import os
  import time
  from typing import List
  import torch
  import psutil
  from utils.utils_logging import AverageMeter
label_desc: Use image node_id 4 for calling the CallBackVerification obj's underlying member method code with example usage: obj.__call__(num_update, backbone) without return types