code: def testImagenetIsNormalized(self):
      problem = imagenet.ImageImagenet224()
      self.assertTrue(problem.normalize_image)
      problem = imagenet.ImageImagenet224NoNormalization()
      self.assertFalse(problem.normalize_image)
  
file_path: tensor2tensor/tensor2tensor/data_generators/imagenet_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  from tensor2tensor.data_generators import imagenet
  from tensor2tensor.utils import hparam
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 2 for calling the ImagenetTest obj's underlying member method code with example usage: obj.testImagenetIsNormalized() without return types