class_docstr: Subset of a dataset at specified indices
  
  Code adapted from PyTorch.
  
  Parameters
  ----------
  dataset
      dataset[i] should return the ith datapoint
  indices : list
      List of datapoint indices to construct the subset
class_docstr_tok: ["Subset","of","a","dataset","at","specified","indices","Code","adapted","from","PyTorch",".","Parameters","--","--","--","--","--","dataset","dataset","[","i","]","should","return","the","ith","datapoint","indices",":","list","List","of","datapoint","indices","to","construct","the","subset"]
docstr: Get the datapoint indexed by item
  
  Returns
  -------
  tuple
      datapoint
docstr_tok: ["Get","the","datapoint","indexed","by","item","Returns","--","--","--","-","tuple","datapoint"]
code: def __getitem__(self, item):
      """Get the datapoint indexed by item
  
      Returns
      -------
      tuple
          datapoint
      """
      return self.dataset[self.indices[item]]
  
imports: from __future__ import absolute_import
  import errno
  import hashlib
  import os
  import pickle
  import sys
  import warnings
  import networkx.algorithms
  import numpy
  import requests
  from tqdm import tqdm
  from ..None import backend
  from .graph_serialize import load_graphs, load_labels, save_graphs
  from .tensor_serialize import load_tensors, save_tensors
label_desc: Use image node_id 2 for calling the Subset obj's underlying member method code with example usage: obj.__getitem__(item) and returns: self