class_docstr: Small model used for tests.
class_docstr_tok: ["Small","model","used","for","tests","."]
code: def call(
      self,
      observation,
      step_type=None,
      network_state=(),
      training=False,
  ):
      del step_type, network_state, training
      # The action spec is BoundedTensorSpec(min=0, max=3) which means this
      # Network should emit a 4-logit.
      return tf.stack(4 * [observation + self.var], axis=-1), ()
  
imports: import os
  import numpy
  import tensorflow.compat.v2
  from tf_agents.networks import network
  from tf_agents.policies import greedy_policy
  from tf_agents.policies import policy_loader
  from tf_agents.policies import policy_saver
  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 common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 2 for calling the AddNet obj's underlying member method code with example usage: obj.call(observation, step_type, network_state, training) and returns: tf,  