code: def get_data_parallel_rank():
      """Return my rank for the data parallel group."""
      return torch.distributed.get_rank(group=get_data_parallel_group())
  
imports: from typing import Tuple, Optional
  import warnings
  import os
  import torch
  from apex.transformer.log_util import get_transformer_logger
  from apex.transformer._ucc_util import HAS_UCC
label_desc: Use image node_id 50 for calling a global function with example usage: get_data_parallel_rank() and returns: torch