code: def get_data_parallel_group():
      """Get the data parallel group the caller rank belongs to."""
      global _USE_MEGATRON
      if _USE_MEGATRON:
          from fairseq.model_parallel.megatron import mpu
  
          return mpu.get_data_parallel_group()
      else:
          return get_global_group()
  
imports: import io
  import logging
  import os
  import pickle
  import random
  import socket
  import struct
  import subprocess
  import warnings
  from argparse import Namespace
  from collections import OrderedDict
  from dataclasses import dataclass
  from typing import Any, Dict, List, Mapping, Optional
  import torch
  import torch.distributed
  from fairseq.dataclass.configs import DistributedTrainingConfig, FairseqConfig
  from omegaconf import open_dict
label_desc: Use image node_id 20 for calling a global function with example usage: get_data_parallel_group() and returns: mpu, get_global_group