code: def _get_data(self):
      if self._done_event.is_set():
          raise StopIteration
      if not self._transform_thread.is_alive():
          raise RuntimeError("Transform thread exited unexpectedly")
      data, handles = self._data_queue.get()
      for handle in handles:
          handle.wait()
      return data
  
imports: import queue
  import threading
  from typing import Dict, List, Union
  import torch
  from torch.utils.data._utils import MP_STATUS_CHECK_INTERVAL
  from torchrec import EmbeddingBagConfig, EmbeddingConfig
  from torchrec.distributed.model_parallel import DistributedModelParallel
  from torchrec.sparse.jagged_tensor import KeyedJaggedTensor
  from .id_transformer_group import IDTransformerGroup
label_desc: Use image node_id 5 for calling the DataLoaderIter obj's underlying member method code with example usage: obj._get_data() and returns: data