code: def test_wrong_prediction(self):
      with self.cached_session():
          predicted = tf.constant(
              [[0, 100]], dtype=tf.float32, name="predicted"
          )
          labels = tf.constant([0], dtype=tf.int64, name="labels")
          predicted, labels = [
              tf.expand_dims(x, axis=0) for x in (predicted, labels)
          ]
  
          test_loss_func = LossFunction(2, loss_type="Dice")
          one_minus_dice_score = test_loss_func(predicted, labels)
          self.assertAllClose(
              one_minus_dice_score.eval(), 1.0, atol=1e-4
          )
  
imports: from __future__ import absolute_import, print_function
  import numpy
  import tensorflow
  from niftynet.layer.loss_segmentation import LossFunction, labels_to_one_hot
  from tests.niftynet_testcase import NiftyNetTestCase
label_desc: Use image node_id 3 for calling the DiceTest obj's underlying member method code with example usage: obj.test_wrong_prediction() without return types