code: def call(self, inputs, step_type=None, network_state=()):
      del step_type
      inputs = tf.cast(inputs, tf.float32)
      for layer in self._dummy_layers:
          inputs = layer(inputs)
      return inputs, network_state
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tf_agents.networks import network
  from tf_agents.policies import boltzmann_policy
  from tf_agents.policies import q_policy
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import test_utils
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: inputs,  network_state