code: def _add_extra_args_for_dataloader(
      dataset_instance: torch.utils.data.Dataset,
      other_args: Dict[str, Any] = None,
  ) -> Dict[str, Any]:
      from mmf.utils.general import get_batch_size
  
      dataset_type = dataset_instance.dataset_type
  
      if other_args["shuffle"] is None:
          other_args["shuffle"] = False
          if dataset_type != "test":
              other_args["shuffle"] = True
  
      # In distributed mode, we use DistributedSampler from PyTorch
      if is_dist_initialized():
          other_args["sampler"] = torch.utils.data.DistributedSampler(
              dataset_instance, shuffle=other_args["shuffle"]
          )
          # Shuffle is mutually exclusive with sampler, let DistributedSampler
          # take care of shuffle and pop from main args
          other_args.pop("shuffle")
  
      if is_xla():
          other_args["sampler"] = torch.utils.data.DistributedSampler(
              dataset_instance,
              num_replicas=xm.xrt_world_size(),
              rank=xm.get_ordinal(),
              shuffle=other_args["shuffle"],
              drop_last=True,
          )
          other_args.pop("shuffle")
  
      if other_args["batch_size"] is None:
          other_args["batch_size"] = get_batch_size()
  
      return other_args
  
imports: import logging
  import os
  import warnings
  from enum import Enum
  from typing import Any, Dict, List, Optional, Tuple, Union
  import mmf
  import pytorch_lightning
  import torch
  from mmf.common.meter import Meter
  from mmf.common.registry import registry
  from mmf.datasets.iteration_strategies import ConstantIterationStrategy, IterationStrategy, SizeProportionalIterationStrategy
  from mmf.datasets.processors.processors import Processor
  from mmf.utils.configuration import Configuration, get_global_config
  from mmf.utils.distributed import is_dist_initialized, is_main, is_xla, synchronize
  from mmf.utils.general import get_optimizer_parameters
  from omegaconf import DictConfig, OmegaConf
  from packaging import version
label_desc: Use image node_id 11 for calling a global function with example usage: _add_extra_args_for_dataloader(dataset_instance, other_args) and returns: other_args