code: def _build_iteration_strategy(
      self, config: DictConfig, dataloaders: Dict[str, DataLoader]
  ) -> IterationStrategy:
      disabled = OmegaConf.create({"enabled": False})
  
      if len(self.dataset_list) == 1:
          logger.info(
              "Multitasking disabled by default for single dataset training"
          )
          multitasking_config = disabled
      elif "multitasking" in self.config:
          multitasking_config = self.config.multitasking
      else:
          warnings.warn(
              "'multitasking' config not defined. Disabling any form of multitasking"
          )
          multitasking_config = disabled
  
      return build_iteration_strategy(multitasking_config, dataloaders)
  
imports: import logging
  import warnings
  from typing import Dict, List, Optional
  import pytorch_lightning
  from mmf.common.sample import SampleList
  from mmf.common.test_reporter import TestReporter
  from mmf.datasets.iteration_strategies import IterationStrategy
  from mmf.datasets.multi_dataset_loader import MultiDataLoader
  from mmf.utils.build import build_iteration_strategy, build_multiple_datamodules, build_test_reporter
  from mmf.utils.dataset import dataset_list_from_config
  from mmf.utils.general import get_batch_size
  from omegaconf import DictConfig, OmegaConf
  from torch.utils.data import DataLoader
label_desc: Use image node_id 5 for calling the MultiDataModule obj's underlying member method code with example usage: obj._build_iteration_strategy(config, dataloaders) and returns: build_iteration_strategy