class_docstr: The CIFAR-10 dataset
code: def to_tensorflow(self, shuffle=4096):
      # This is much more efficient with data augmentation, see tutorials.
      return (
          self.in_memory_dataset(self.x_train, self.y_train, shuffle),
          self.in_memory_dataset(
              self.x_test, self.y_test, repeat=False
          ),
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import array
  import functools
  import gzip
  import operator
  import os
  import struct
  import tempfile
  import sys
  import warnings
  import numpy
  import tensorflow
  from cleverhans import utils
label_desc: Use image node_id 2 for calling the CIFAR10 obj's underlying member method code with example usage: obj.to_tensorflow(shuffle) and returns: self,  self