import tensorflow as tf

                              data_dir=algorithmic.TinyAlgo.data_dir,
                              shuffle_files=False)

    tensor1 = dataset.make_one_shot_iterator().get_next()["targets"]
    tensor2 = dataset.make_one_shot_iterator().get_next()["targets"]

    with tf.Session() as sess:
      self.assertTrue(assert_tensors_equal(sess, tensor1, tensor2, 20))

  @test_utils.run_in_graph_mode_only()
  def testNoShufflePreprocess(self):

