code: def __init__(self, local_rank, **kwargs):
      super(DataLoaderX, self).__init__(**kwargs)
      self.stream = torch.cuda.Stream(local_rank)
      self.local_rank = local_rank
  
imports: import numbers
  import os
  import queue
  import threading
  import mxnet
  import numpy
  import torch
  from torch.utils.data import DataLoader, Dataset
  from torchvision import transforms
label_desc: Use image node_id 1 to create a new DataLoaderX object from inherited base classes: DataLoader with example: obj = DataLoaderX(local_rank)