code: def testNumberOfTrainableElements(self):
      dummy_net = DummyNet(tensor_spec.TensorSpec([2], tf.float32))
      dummy_net.create_variables()
      self.assertEqual(
          falcon_reward_prediction_policy.get_number_of_trainable_elements(
              dummy_net
          ),
          9,
      )
  
imports: from typing import List, Optional, Set
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.bandits.policies import falcon_reward_prediction_policy
  from tf_agents.networks import network
  from tf_agents.policies import utils
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import test_utils
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 1 for calling the GetNumberOfTrainableElementsTest obj's underlying member method code with example usage: obj.testNumberOfTrainableElements() without return types