code: def main():
      run_experiment_kwargs = load_params(PARAMS_FILE_NAME)
      strategy_str = run_experiment_kwargs["distribution_strategy"]
      strategy = _DISTRIBUTION_STRATEGIES[strategy_str]()
      run_experiment_kwargs.update(dict(distribution_strategy=strategy))
      model, _ = train_lib.run_experiment(**run_experiment_kwargs)
      model.save(run_experiment_kwargs["model_dir"])
  
imports: import pickle
  import tensorflow
  from official.core import train_lib
label_desc: Use image node_id 4 for calling a global function with example usage: main() without return types