code: def testNetworkVariablesAreReused(self):
      batch_size = 3
      num_state_dims = 5
      states = tf.ones([batch_size, num_state_dims])
      next_states = tf.ones([batch_size, num_state_dims])
      network = q_network.QNetwork(
          input_tensor_spec=tensor_spec.TensorSpec(
              [num_state_dims], tf.float32
          ),
          action_spec=tensor_spec.BoundedTensorSpec(
              [1], tf.int32, 0, 1
          ),
      )
      q_values, _ = network(states)
      next_q_values, _ = network(next_states)
      self.evaluate(tf.compat.v1.global_variables_initializer())
      self.assertAllClose(q_values, next_q_values)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import gin
  import tensorflow
  from tf_agents.networks import q_network
  from tf_agents.specs import tensor_spec
label_desc: Use image node_id 7 for calling the SingleObservationSingleActionTest obj's underlying member method code with example usage: obj.testNetworkVariablesAreReused() without return types