code: def __init__(
      self,
      path,
      data_shape,
      label_shape,
      batch_size=64,
      flag=0,
      input_aug=None,
      target_aug=None,
  ):
      super(ImagePairIter, self).__init__(batch_size)
      self.data_shape = (batch_size,) + data_shape
      self.label_shape = (batch_size,) + label_shape
      self.input_aug = input_aug
      self.target_aug = target_aug
      self.provide_data = [("data", self.data_shape)]
      self.provide_label = [("label", self.label_shape)]
      is_image_file = lambda fn: any(
          fn.endswith(ext) for ext in [".png", ".jpg", ".jpeg"]
      )
      self.filenames = [
          os.path.join(path, x)
          for x in os.listdir(path)
          if is_image_file(x)
      ]
      self.count = 0
      self.flag = flag
      random.shuffle(self.filenames)
  
imports: import os
  import random
  import tarfile
  import logging
  import tarfile
  import mxnet
  from mxnet.test_utils import get_cifar10
  from mxnet.gluon.data.vision import ImageFolderDataset
  from mxnet.gluon.data import DataLoader
  from mxnet.contrib.io import DataLoaderIter
label_desc: Use image node_id 1 to create a new ImagePairIter object from inherited base classes: mx.io with example: obj = ImagePairIter(path, data_shape, label_shape, batch_size, flag, input_aug, target_aug)