code: def testDenseCentered(self):
      parameters = [tf.Variable([1.0, 2.0]), tf.Variable([3.0, 4.0])]
      updates = [tf.constant([5.0, 5.0]), tf.constant([3.0, 3.0])]
      optimizer = self.make_optimizer(learning_rate=0.1, centered=True)
      # Step 1 of RMSProp
      optimizer.apply(updates, parameters)
      self.assertAllClose(
          [[0.666667, 1.666667], [2.666667, 3.666667]],
          [x.numpy() for x in parameters],
      )
      # Step 2 of RMSProp
      optimizer.apply(updates, parameters)
      self.assertAllClose(
          [[0.41176, 1.41176], [2.41176, 3.41176]],
          [x.numpy() for x in parameters],
      )
      # Step 3 of RMSProp
      optimizer.apply(updates, parameters)
      self.assertAllClose(
          [[0.186776, 1.186776], [2.186776, 3.186776]],
          [x.numpy() for x in parameters],
      )
  
imports: from sonnet.src import test_utils
  from sonnet.src.optimizers import optimizer_tests
  from sonnet.src.optimizers import rmsprop
  import tensorflow
label_desc: Use image node_id 3 for calling the RMSPropTest obj's underlying member method code with example usage: obj.testDenseCentered() without return types