code: def _iterate_reals(self, minibatch_size):
      dataset_obj = self._get_dataset_obj()
      while True:
          images, _labels = dataset_obj.get_minibatch_np(minibatch_size)
          if self._mirror_augment:
              images = misc.apply_mirror_augment(images)
          yield images
  
imports: import os
  import time
  import hashlib
  import numpy
  import tensorflow
  import dnnlib
  import dnnlib.tflib
  from training import misc
  from training import dataset
label_desc: Use image node_id 13 for calling the MetricBase obj's underlying member method code with example usage: obj._iterate_reals(minibatch_size) without return types