code: def call(self, observations, step_type=None, network_state=()):
      logits, network_state = super(
          DummyCategoricalQRnnNetwork, self
      ).call(observations, step_type, network_state)
      shape = logits.shape.as_list()
      assert shape[-1] == self._num_actions * self._num_atoms
      new_shape = shape[:-1] + [self._num_actions, self._num_atoms]
      logits = tf.reshape(logits, new_shape)
      return logits, network_state
  
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 DummyCategoricalQRnnNetwork obj's underlying member method code with example usage: obj.call(observations, step_type, network_state) and returns: logits,  network_state