code: def test_unweighted(self):
      self.setup()
      k_obj = metrics.KLDivergence()
  
      k_obj.update_state(self.y_true, self.y_pred)
      result = k_obj.result()
      expected_result = np.sum(self.expected_results) / self.batch_size
      self.assertAllClose(result, expected_result, atol=1e-3)
  
imports: import numpy
  from keras import metrics
  from keras import testing
label_desc: Use image node_id 3 for calling the KLDivergenceTest obj's underlying member method code with example usage: obj.test_unweighted() without return types