code: def get_rank_info() -> Tuple[int, int, int]:
      """Returns a tuple of (data, tensor, pipeline, virtual pipeline)-parallel-rank for logger."""
      if model_parallel_is_initialized():
          return (
              get_data_parallel_rank(),
              get_tensor_model_parallel_rank(),
              get_pipeline_model_parallel_rank(),
              get_virtual_pipeline_model_parallel_rank(),
          )
      return (0, 0, 0, 0)
  
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 9 for calling a global function with example usage: get_rank_info() and returns: int,  int,  int,  int, get_data_parallel_rank,  get_tensor_model_parallel_rank,  get_pipeline_model_parallel_rank,  get_virtual_pipeline_model_parallel_rank