code: def main():
      conf = Configs()
      experiment.create(name="mnist_gan", comment="test")
      experiment.configs(conf, {"label_smoothing": 0.01})
      with experiment.start():
          conf.run()
  
imports: from typing import Any
  import torch
  import torch.nn
  import torch.utils.data
  from torchvision import transforms
  from labml import tracker, monit, experiment
  from labml.configs import option, calculate
  from labml_helpers.datasets.mnist import MNISTConfigs
  from labml_helpers.device import DeviceConfigs
  from labml_helpers.module import Module
  from labml_helpers.optimizer import OptimizerConfigs
  from labml_helpers.train_valid import TrainValidConfigs, hook_model_outputs, BatchIndex
  from labml_nn.gan.original import DiscriminatorLogitsLoss, GeneratorLogitsLoss
label_desc: Use image node_id 5 for calling a global function with example usage: main() without return types