code: def run(self):
      for epoch in range(1, self.epochs + 1):
          self.train()
          self.validate()
          logger.log()
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import torch.utils.data
  from torchvision import datasets, transforms
  from labml import experiment, lab, tracker, logger
  from labml.configs import BaseConfigs, option
label_desc: Use image node_id 3 for calling the Configs obj's underlying member method code with example usage: obj.run() without return types