code: def main(args):
    
    title = '## Starting evaluation of round {0} ##'.format(args.round_name)
    logging.info('\n'
                 + '#' * len(title) + '\n'
                 + '#' * len(title) + '\n'
                 + '##' + ' ' * (len(title)-2) + '##' + '\n'
                 + title + '\n'
                 + '#' * len(title) + '\n'
                 + '#' * len(title) + '\n'
                 + '##' + ' ' * (len(title)-2) + '##' + '\n')
    if args.blacklisted_submissions:
      logging.warning('BLACKLISTED SUBMISSIONS: %s',
                      args.blacklisted_submissions)
    random.seed()
    logging.info('Running nvidia-docker to ensure that GPU works')
    shell_call(['docker', 'run', '--runtime=nvidia',
                '--rm', 'nvidia/cuda', 'nvidia-smi'])
    eval_worker = EvaluationWorker(
        worker_id=args.worker_id,
        storage_client=eval_lib.CompetitionStorageClient(
            args.project_id, args.storage_bucket),
        datastore_client=eval_lib.CompetitionDatastoreClient(
            args.project_id, args.round_name),
        storage_bucket=args.storage_bucket,
        round_name=args.round_name,
        dataset_name=args.dataset_name,
        blacklisted_submissions=args.blacklisted_submissions,
        num_defense_shards=args.num_defense_shards)
    eval_worker.run_work()
docs: Main function which runs worker.