code: def _fetch_run(inputs):
      i, index = inputs
      data = _fetch_dataset[index]
      if _fetch_mem_bulk is not None:
          offset = i * _fetch_mem_size
          limit = offset + _fetch_mem_size
          data = _pack(data, _fetch_mem_bulk, offset, limit)
      return data
  
imports: from __future__ import division
  import datetime
  import multiprocessing
  from multiprocessing import sharedctypes
  import signal
  import sys
  import threading
  import warnings
  import numpy
  import six
  from chainer.dataset import iterator
  from chainer.iterators import _statemachine
  from chainer.iterators.order_samplers import ShuffleOrderSampler
label_desc: Use image node_id 3 for calling a global function with example usage: _fetch_run(inputs) and returns: data