code: def __init__(self, input_tensor_spec, shared_layer=None, name=None):
      super(DummyCriticNetwork, self).__init__(
          input_tensor_spec, state_spec=(), name=name
      )
  
      self._obs_layer = tf.keras.layers.Flatten()
      self._shared_layer = shared_layer
      self._action_layer = tf.keras.layers.Flatten()
      self._joint_layer = tf.keras.layers.Dense(
          1,
          activation=None,
          kernel_initializer=tf.constant_initializer([1, 3, 2]),
          bias_initializer=tf.constant_initializer([4]),
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  from tf_agents.agents.td3 import td3_agent
  from tf_agents.networks import network
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 1 to create a new DummyCriticNetwork object from inherited base classes: network with example: obj = DummyCriticNetwork(input_tensor_spec, shared_layer, name)