code: def test2DAction(self):
      batch_size = 3
      num_obs_dims = 5
      obs_spec = tensor_spec.TensorSpec([num_obs_dims], tf.float32)
      action_spec = tensor_spec.BoundedTensorSpec(
          [2, 3], tf.float32, 2.0, 3.0
      )
      actor_net = actor_network.ActorNetwork(obs_spec, action_spec)
  
      obs = tf.random.uniform([batch_size, num_obs_dims])
      actions, _ = actor_net(obs)
      self.assertAllEqual(
          actions.shape.as_list(),
          [batch_size] + action_spec.shape.as_list(),
      )
      self.assertEqual(len(actor_net.trainable_variables), 2)
  
file_path: agents/tf_agents/agents/ddpg/actor_network_test.py
imports: import numpy
  import tensorflow
  from tf_agents.agents.ddpg import actor_network
  from tf_agents.specs import tensor_spec
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 5 for calling the ActorNetworkTest obj's underlying member method code with example usage: obj.test2DAction() without return types