code: def get_dataloader(self):
      self.current_dataloader = getattr(
          self.current_datamodule, f"{self.dataset_type}_dataloader"
      )()
      # Make sure to assign dataset to dataloader object as
      # required by MMF
      if not hasattr(self.current_dataloader, "dataset"):
          self.current_dataloader.dataset = getattr(
              self.current_datamodule, f"{self.dataset_type}_dataset"
          )
      return self.current_dataloader
  
imports: import csv
  import json
  import logging
  import os
  import warnings
  from dataclasses import dataclass, field
  from typing import List
  import pytorch_lightning
  from mmf.common.registry import registry
  from mmf.common.sample import convert_batch_to_sample_list
  from mmf.utils.configuration import get_mmf_env
  from mmf.utils.distributed import gather_tensor, is_main
  from mmf.utils.file_io import PathManager
  from mmf.utils.general import ckpt_name_from_core_args, foldername_from_config_override
  from mmf.utils.logger import log_class_usage
  from mmf.utils.timer import Timer
  from omegaconf import OmegaConf
  from torch.utils.data import Dataset
label_desc: Use image node_id 8 for calling the TestReporter obj's underlying member method code with example usage: obj.get_dataloader() and returns: self