docstr: A barrier that allows waiting for all the workers to finish a certain block of commands
  :param include_only_training_workers: wait only for training workers or for all the workers?
  :return: None
code: def wait_for_all_workers_barrier(
      self, include_only_training_workers: bool = False
  ):
      """
      A barrier that allows waiting for all the workers to finish a certain block of commands
      :param include_only_training_workers: wait only for training workers or for all the workers?
      :return: None
      """
      self.wait_for_all_workers_to_lock(
          "lock",
          include_only_training_workers=include_only_training_workers,
      )
      self.sess.run(self.lock_init)
  
      # we need to lock again (on a different lock) in order to prevent a situation where one of the workers continue
      # and then was able to first increase the lock again by one, only to have a late worker to reset it again.
      # so we want to make sure that all workers are done resetting the lock before continuting to reuse that lock.
  
      self.wait_for_all_workers_to_lock(
          "release",
          include_only_training_workers=include_only_training_workers,
      )
      self.sess.run(self.release_init)
  
imports: import os
  import time
  from typing import Any, List, Tuple, Dict
  import numpy
  import tensorflow
  from rl_coach.architectures.architecture import Architecture
  from rl_coach.architectures.tensorflow_components.savers import GlobalVariableSaver
  from rl_coach.base_parameters import AgentParameters, DistributedTaskParameters
  from rl_coach.core_types import GradientClippingMethod
  from rl_coach.saver import SaverCollection
  from rl_coach.spaces import SpacesDefinition
  from rl_coach.utils import force_list, squeeze_list, start_shell_command_and_wait
label_desc: Use image node_id 15 for calling the TensorFlowArchitecture obj's underlying member method code with example usage: obj.wait_for_all_workers_barrier(include_only_training_workers) without return types