code: def setup(self):
      self.y_pred = np.asarray(
          [0.4, 0.9, 0.12, 0.36, 0.3, 0.4], dtype=np.float32
      ).reshape((2, 3))
      self.y_true = np.asarray(
          [0.5, 0.8, 0.12, 0.7, 0.43, 0.8], dtype=np.float32
      ).reshape((2, 3))
  
      self.batch_size = 2
      self.expected_results = np.multiply(
          self.y_true, np.log(self.y_true / self.y_pred)
      )
  
imports: import numpy
  from keras import metrics
  from keras import testing
label_desc: Use image node_id 1 for calling the KLDivergenceTest obj's underlying member method code with example usage: obj.setup() without return types