code: def main():
      # Create experiment
      experiment.create(name="cifar10", comment="group norm")
      # Create configurations
      conf = Configs()
      # Load configurations
      experiment.configs(
          conf,
          {
              "optimizer.optimizer": "Adam",
              "optimizer.learning_rate": 2.5e-4,
          },
      )
      # Start the experiment and run the training loop
      with experiment.start():
          conf.run()
  
file_path: annotated_deep_learning_paper_implementations/labml_nn/normalization/group_norm/experiment.py
imports: import torch.nn
  from labml import experiment
  from labml.configs import option
  from labml_helpers.module import Module
  from labml_nn.experiments.cifar10 import CIFAR10Configs
  from labml_nn.normalization.group_norm import GroupNorm
label_desc: Use image node_id 2 for calling a global function with example usage: main() without return types