code: def test_no_preprocess(self):
      provider = cifar100.Provider(seed=4)
      input_fn = provider.get_input_fn(
          "train",
          tf.contrib.learn.ModeKeys.TRAIN,
          batch_size=3,
          preprocess=False,
      )
      data, label = input_fn()
  
      init = tf.group(
          tf.global_variables_initializer(),
          tf.local_variables_initializer(),
      )
      with self.test_session() as sess:
          sess.run(init)
          self.assertAllEqual(
              [220, 25, 47], sess.run(data["x"])[0][0][0]
          )
          self.assertAllEqual([[47], [5], [52]], sess.run(label))
  
file_path: adanet/research/improve_nas/trainer/cifar100_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from adanet.research.improve_nas.trainer import cifar100
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling the Cifar100Test obj's underlying member method code with example usage: obj.test_no_preprocess() without return types