code: def testFixedPolicyBatched(self):
      batch_size = 2
      observations = tf.constant([[1, 2], [3, 4]], dtype=tf.float32)
      time_step = ts.restart(observations, batch_size=batch_size)
      action_step = self._policy.action(time_step)
      distribution_step = self._policy.distribution(time_step)
      mode = distribution_step.action.mode()
  
      self.evaluate(tf.compat.v1.global_variables_initializer())
      self.assertAllEqual(
          self.evaluate(action_step.action),
          [[self._fixed_action]] * batch_size,
      )
      self.assertAllEqual(
          self.evaluate(mode), [[self._fixed_action]] * batch_size
      )
  
file_path: agents/tf_agents/policies/fixed_policy_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  from tf_agents.policies import fixed_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 3 for calling the FixedPolicyTest obj's underlying member method code with example usage: obj.testFixedPolicyBatched() without return types