code: def test_remote_training_step(ray_start_2_cpus):
      net = ray.remote(TrainActor).remote()
      ray.get(net.training_step.remote(net.get_weights.remote()))
  
imports: from numpy.testing import assert_almost_equal
  import ray
  import ray.experimental.tf_utils
  from ray.rllib.utils.framework import try_import_tf
label_desc: Use image node_id 9 for calling a global function with example usage: test_remote_training_step(ray_start_2_cpus) without return types