def __initialize_manager(self):
		self.__config_mgr	= self.__manager.load_config_manager()

		self.__backend_mgr   = self.__manager.load_backend_manager()
		self.__bootstrap_mgr = self.__manager.load_bootstrap_manager()
		self.__navigator_mgr = self.__manager.load_navigator_manager()
		self.__context_mgr  = self.__manager.load_context_manager()
		self.__action_mgr	= self.__manager.load_action_manager()
		self.__launcher_mgr  = self.__manager.load_launcher_manager()
def _compute_reg_grads(gen_grads, disc_vars):
  """Compute gradients norm (this is an upper-bpund of the full-batch norm)."""
  gen_norm = tf.accumulate_n([tf.reduce_sum(u * u) for u in gen_grads])
  disc_reg_grads = tf.gradients(gen_norm, disc_vars)
  return disc_reg_grads