code: def get_rank() -> int:
      """
      Returns the torch.distributed rank of the process. 0 represents
      the main process and is the default if torch.distributed isn't set up
      """
      return (
          torch.distributed.get_rank()
          if torch.distributed.is_available()
          and torch.distributed.is_initialized()
          else 0
      )
  
imports: import logging
  from typing import Dict, List, Optional
  import pytorch_lightning
  import torch
  from petastorm import make_batch_reader
  from petastorm.pytorch import DataLoader, decimal_friendly_collate
  from reagent.core.oss_tensorboard_logger import OssTensorboardLogger
  from reagent.data.spark_utils import get_spark_session
  from reagent.preprocessing.batch_preprocessor import BatchPreprocessor
  from reagent.training import StoppingEpochCallback
  from reagent.training.reagent_lightning_module import has_test_step_override
  from .types import Dataset, ReaderOptions, ResourceOptions
label_desc: Use image node_id 4 for calling a global function with example usage: get_rank() and returns: unknown