code: def criteo_terabyte(
      paths: Iterable[str],
      *,
      # pyre-ignore[2]
      row_mapper: Optional[
          Callable[[List[str]], Any]
      ] = _default_row_mapper,
      # pyre-ignore[2]
      **open_kw,
  ) -> IterDataPipe:
      """`Criteo 1TB Click Logs <https://ailab.criteo.com/download-criteo-1tb-click-logs-dataset/>`_ Dataset
  
      Args:
          paths (Iterable[str]): local paths to TSV files that constitute the Criteo 1TB
              dataset.
          row_mapper (Optional[Callable[[List[str]], Any]]): function to apply to each
              split TSV line.
          open_kw: options to pass to underlying invocation of
              iopath.common.file_io.PathManager.open.
  
      Example::
  
          datapipe = criteo_terabyte(
              ("/home/datasets/criteo/day_0.tsv", "/home/datasets/criteo/day_1.tsv")
          )
          datapipe = dp.iter.Batcher(datapipe, 100)
          datapipe = dp.iter.Collator(datapipe)
          batch = next(iter(datapipe))
      """
      return CriteoIterDataPipe(paths, row_mapper=row_mapper, **open_kw)
  
imports: import os
  import shutil
  import time
  from typing import Any, Callable, Dict, Iterable, Iterator, List, Optional, Tuple, Union
  import numpy
  import torch
  import torch.utils.data.datapipes
  from iopath.common.file_io import PathManager, PathManagerFactory
  from pyre_extensions import none_throws
  from torch.utils.data import IterableDataset, IterDataPipe
  from torchrec.datasets.utils import Batch, LoadFiles, PATH_MANAGER_KEY, ReadLinesFromCSV, safe_cast
  from torchrec.sparse.jagged_tensor import KeyedJaggedTensor
label_desc: Use image node_id 2 for calling a global function with example usage: criteo_terabyte(paths) and returns: CriteoIterDataPipe