code: def get_batch_iterator(
      self,
      dataset,
      max_tokens=None,
      max_sentences=None,
      max_positions=None,
      ignore_invalid_inputs=False,
      required_batch_size_multiple=1,
      seed=1,
      num_shards=1,
      shard_id=0,
      num_workers=0,
      epoch=0,
      data_buffer_size=0,
      disable_iterator_cache=False,
      skip_remainder_batch=False,
      grouped_shuffling=False,
      update_epoch_batch_itr=False,
  ):
      # initialize the dataset with the correct starting epoch
      dataset.set_epoch(epoch)
  
      batch_samplers = dataset.get_batch_samplers(
          self.mult_ratios, required_batch_size_multiple, seed
      )
  
      # return a reusable, sharded iterator
      epoch_iter = GroupedEpochBatchIterator(
          dataset=dataset,
          collate_fn=dataset.collater,
          batch_samplers=batch_samplers,
          seed=seed,
          num_shards=num_shards,
          shard_id=shard_id,
          num_workers=num_workers,
          epoch=epoch,
          mult_rate=max(self.cfg.update_freq),
          buffer_size=data_buffer_size,
          skip_remainder_batch=skip_remainder_batch,
      )
      self.dataset_to_epoch_iter[dataset] = {}  # refresh it every epoch
      return epoch_iter
  
imports: import sys
  from dataclasses import dataclass
  from typing import Optional, List
  from omegaconf import II
  from fairseq.data.iterators import GroupedEpochBatchIterator
  from fairseq.dataclass import FairseqDataclass
  from fairseq.tasks import FairseqTask, register_task
  from fairseq.tasks.audio_pretraining import AudioPretrainingConfig, AudioPretrainingTask
  from fairseq.tasks.masked_lm import MaskedLMConfig, MaskedLMTask
  from .mae_image_pretraining import MaeImagePretrainingConfig, MaeImagePretrainingTask
  from examples.data2vec.data.modality import Modality
  from fairseq.data.audio.multi_modality_dataset import MultiModalityDataset, ModalityDatasetItem
label_desc: Use image node_id 5 for calling the MultimodalPretrainingTask obj's underlying member method code with example usage: obj.get_batch_iterator(dataset, max_tokens, max_sentences, max_positions, ignore_invalid_inputs, required_batch_size_multiple, seed, num_shards, shard_id, num_workers, epoch, data_buffer_size, disable_iterator_cache, skip_remainder_batch, grouped_shuffling, update_epoch_batch_itr) and returns: epoch_iter