code: def traverse(
      datapipe: DataPipe, only_datapipe: Optional[bool] = None
  ) -> DataPipeGraph:
      r"""
      Traverse the DataPipes and their attributes to extract the DataPipe graph.
  
      [Deprecated]
      When ``only_dataPipe`` is specified as ``True``, it would only look into the
      attribute from each DataPipe that is either a DataPipe and a Python collection object
      such as ``list``, ``tuple``, ``set`` and ``dict``.
  
      Note:
          This function is deprecated. Please use `traverse_dps` instead.
  
      Args:
          datapipe: the end DataPipe of the graph
          only_datapipe: If ``False`` (default), all attributes of each DataPipe are traversed.
            This argument is deprecating and will be removed after the next release.
      Returns:
          A graph represented as a nested dictionary, where keys are ids of DataPipe instances
          and values are tuples of DataPipe instance and the sub-graph
      """
      msg = (
          "`traverse` function and will be removed after 1.13. "
          "Please use `traverse_dps` instead."
      )
      if not only_datapipe:
          msg += " And, the behavior will be changed to the equivalent of `only_datapipe=True`."
      warnings.warn(msg, FutureWarning)
      if only_datapipe is None:
          only_datapipe = False
      cache: Set[int] = set()
      return _traverse_helper(datapipe, only_datapipe, cache)
  
file_path: pytorch/torch/utils/data/graph.py
imports: import io
  import pickle
  import warnings
  from collections.abc import Collection
  from typing import Dict, List, Optional, Set, Tuple, Type, Union
  from torch.utils.data import IterDataPipe, MapDataPipe
  from torch.utils.data._utils.serialization import DILL_AVAILABLE
label_desc: Use image node_id 4 for calling a global function with example usage: traverse(datapipe, only_datapipe) and returns: _traverse_helper