code: def test_generalised_dice_score_regression(self):
      with self.cached_session():
          predicted = tf.constant(
              [[0, 10], [10, 0], [10, 0], [10, 0]],
              dtype=tf.float32,
              name="predicted",
          )
          labels = tf.constant(
              [1, 0, 0, 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="GDSC")
          one_minus_generalised_dice_score = test_loss_func(
              predicted, labels
          )
          self.assertAllClose(
              one_minus_generalised_dice_score.eval(), 0.0, 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 1 for calling the GeneralisedDiceTest obj's underlying member method code with example usage: obj.test_generalised_dice_score_regression() without return types