code: def update(self, epoch, metrics):
      self.batch_count = (self.batch_count) % self.num_batches + 1
  
      msg = "epoch {:d}/{:d}, batch {:d}/{:d}".format(
          epoch, self.num_epochs, self.batch_count, self.num_batches
      )
      for key, value in metrics.items():
          msg += ", {}: {:4f}".format(key, value)
      print(msg)
  
imports: import os
  import pickle
  import random
  import matplotlib.pyplot
  import networkx
  from torch.utils.data import Dataset
label_desc: Use image node_id 2 for calling the CyclePrinting obj's underlying member method code with example usage: obj.update(epoch, metrics) without return types