code: def main():
      conf = Configs()
      experiment.create(name="cifar_10")
      experiment.configs(
          conf,
          {
              "optimizer.optimizer": "Adam",
              "optimizer.learning_rate": 1e-4,
          },
      )
      conf.set_seed.set()
      experiment.add_pytorch_models(dict(model=conf.model))
      with experiment.start():
          conf.run()
  
file_path: labml/samples/pytorch/cifar10/cifar10.py
imports: import torch.nn
  import torch.nn.functional
  from labml import experiment
  from labml.configs import option
  from labml_helpers.datasets.cifar10 import CIFAR10Configs
  from samples.pytorch.mnist.e_labml_helpers import Configs
label_desc: Use image node_id 2 for calling a global function with example usage: main() without return types