code: def get_loader(self, dataset_type: str) -> MultiDataLoader:
      return getattr(self, f"{dataset_type}_loader")
  
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 11 for calling the MultiDataModule obj's underlying member method code with example usage: obj.get_loader(dataset_type) and returns: getattr