code: def main():
      conf = Configs()
      experiment.create(name="mnist_dcgan")
      experiment.configs(
          conf,
          {
              "discriminator": "cnn",
              "generator": "cnn",
              "label_smoothing": 0.01,
          },
      )
      with experiment.start():
          conf.run()
  
file_path: annotated_deep_learning_paper_implementations/labml_nn/gan/dcgan/__init__.py
imports: import torch.nn
  from labml import experiment
  from labml.configs import calculate
  from labml_helpers.module import Module
  from labml_nn.gan.original.experiment import Configs
label_desc: Use image node_id 2 for calling a global function with example usage: main() without return types