code: def __init__(self, l2_regularization_weight=0.0, shared_layer=None):
      super(DummyCriticNet, self).__init__(
          input_tensor_spec=(
              tensor_spec.TensorSpec([2], tf.float32),
              tensor_spec.TensorSpec([1], tf.float32),
          ),
          state_spec=(),
          name=None,
      )
      self._l2_regularization_weight = l2_regularization_weight
      self._value_layer = tf.keras.layers.Dense(
          1,
          kernel_regularizer=tf.keras.regularizers.l2(
              l2_regularization_weight
          ),
          kernel_initializer=tf.constant_initializer([[0], [1]]),
          bias_initializer=tf.constant_initializer([[0]]),
      )
      self._shared_layer = shared_layer
      self._action_layer = tf.keras.layers.Dense(
          1,
          kernel_regularizer=tf.keras.regularizers.l2(
              l2_regularization_weight
          ),
          kernel_initializer=tf.constant_initializer([[1]]),
          bias_initializer=tf.constant_initializer([[0]]),
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import tensorflow
  import tensorflow_probability
  from tf_agents.agents.cql import cql_sac_agent
  from tf_agents.agents.ddpg import critic_network
  from tf_agents.agents.ddpg import critic_rnn_network
  from tf_agents.agents.sac import tanh_normal_projection_network
  from tf_agents.networks import actor_distribution_network
  from tf_agents.networks import actor_distribution_rnn_network
  from tf_agents.networks import network
  from tf_agents.networks import utils
  from tf_agents.specs import distribution_spec
  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 nest_utils
  from tf_agents.utils import test_utils
label_desc: Use image node_id 1 to create a new DummyCriticNet object from inherited base classes: network with example: obj = DummyCriticNet(l2_regularization_weight, shared_layer)