code: def testVariableHyperParams(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])]
      learning_rate = tf.Variable(0.1)
      optimizer = self.make_optimizer(learning_rate=learning_rate)
      optimizer.apply(updates, parameters)
      self.assertAllClose(
          [[0.683772, 1.683772], [2.683772, 3.683772]],
          [x.numpy() for x in parameters],
      )
      learning_rate.assign(0.01)
      self.assertAlmostEqual(0.01, optimizer.learning_rate.numpy())
      optimizer.apply(updates, parameters)
      self.assertAllClose(
          [[0.660831, 1.660831], [2.660831, 3.660831]],
          [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 6 for calling the RMSPropTest obj's underlying member method code with example usage: obj.testVariableHyperParams() without return types