code: def call(self, inputs, step_type=None, network_state=()):
      del step_type
      for layer in self._dummy_layers:
          inputs = inputs[0]
          inputs = layer(inputs)
      return tf.reshape(inputs, [-1]), network_state
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.agents.ddpg import critic_network
  from tf_agents.agents.qtopt import qtopt_agent
  from tf_agents.networks import network
  from tf_agents.policies.samplers import qtopt_cem_actions_sampler_continuous
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import test_utils
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import common
label_desc: Use image node_id 2 for calling the DummyNet obj's underlying member method code with example usage: obj.call(inputs, step_type, network_state) and returns: tf,  network_state