code: def testLoss(self):
      with self.test_session() as sess:
          # Loss is CE between logits_v_tm1 and target.
          expected = np.array([9.0, 3.69, 9.0, 0.69, 5.19])
          self.assertAllClose(
              sess.run(self.tdlearning.loss), expected, atol=1e-2
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow.compat.v1
  from trfl import dist_value_ops
label_desc: Use image node_id 5 for calling the CategoricalDistTDLearningTest obj's underlying member method code with example usage: obj.testLoss() without return types