def __create_action(self, main_root):
		action_dir = os.path.join(main_root, 'action')
		safe_mkdir(action_dir)

		actions = set()
		for unit, param in self.__task.data['workflow'].items():
			actions.add(param['type'])
		self.__action_mgr.create_actions(actions, action_dir)
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