code: def training_step(self, weights):
      _, variables, _, sess, grads, _, placeholders = self.values
      variables.set_weights(weights)
      return sess.run(
          [grad[0] for grad in grads],
          feed_dict=dict(zip(placeholders, [[1] * 100, [2] * 100])),
      )
  
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 2 for calling the TrainActor obj's underlying member method code with example usage: obj.training_step(weights) and returns: sess