code: def hydra_main(cfg):
      with open_dict(cfg):
          # make hydra logging work with ddp (see # see https://github.com/facebookresearch/hydra/issues/1126)
          cfg.job_logging_cfg = OmegaConf.to_container(
              HydraConfig.get().job_logging, resolve=True
          )
  
      cfg = OmegaConf.create(
          OmegaConf.to_container(cfg, resolve=False, enum_to_str=False)
      )
      OmegaConf.set_struct(cfg, True)
      logger.info(cfg)
  
      utils.import_user_module(cfg.fairseq.common)
  
      _, score = main(cfg)
  
      if cfg.is_ax:
          return score, None
      return score
  
imports: import ast
  from collections import namedtuple
  from dataclasses import dataclass, field
  from enum import Enum, auto
  import hydra
  from hydra.core.config_store import ConfigStore
  import logging
  import math
  import os
  from omegaconf import OmegaConf
  from typing import Optional
  import sys
  import editdistance
  import torch
  from hydra.core.hydra_config import HydraConfig
  from fairseq import checkpoint_utils, progress_bar, tasks, utils
  from fairseq.data.data_utils import post_process
  from fairseq.dataclass.configs import FairseqDataclass, FairseqConfig
  from fairseq.logging.meters import StopwatchMeter
  from omegaconf import open_dict
  from examples.speech_recognition.kaldi.kaldi_decoder import KaldiDecoderConfig
label_desc: Use image node_id 8 for calling a global function with example usage: hydra_main(cfg) and returns: score, score,  None