class_docstr: DataLoader class used to more quickly load a batch of indices at once.
class_docstr_tok: ["DataLoader","class","used","to","more","quickly","load","a","batch","of","indices","at","once","."]
code: def __iter__(self):
      return _ChunkDataLoaderIter(self)
  
imports: import os
  import pickle
  import sys
  import time
  import numpy
  import scipy.sparse
  from sklearn.datasets import load_svmlight_file
  import torch
  from torch.utils.data import DataLoader, Dataset
  from torch.utils.data.dataloader import _SingleProcessDataLoaderIter, _MultiProcessingDataLoaderIter, _utils
  from .None import constants
  from .None import syssettings
label_desc: Use image node_id 1 for calling the ChunkDataLoader obj's underlying member method code with example usage: obj.__iter__() and returns: _ChunkDataLoaderIter