code: def create_variables(self, input_spec=None):
      output_spec = network.create_variables(
          self._layer, input_spec or self._input_tensor_spec
      )
      self._network_output_spec = output_spec
      self.built = True
      return output_spec
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  from tf_agents.agents.categorical_dqn import categorical_dqn_agent
  from tf_agents.networks import categorical_q_network
  from tf_agents.networks import network
  from tf_agents.networks import q_rnn_network
  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 3 for calling the KerasLayersNet obj's underlying member method code with example usage: obj.create_variables(input_spec) and returns: output_spec