code: def test_epoch_end(self, outputs) -> None:
      for i, trainer in enumerate(self._trainers):
          trainer.test_epoch_end([o[str(i)] for o in outputs])
  
imports: import bisect
  import functools
  import itertools
  from collections import OrderedDict
  from typing import Dict, List, Tuple
  import torch.nn
  from pytorch_lightning.loops.optimization.optimizer_loop import ClosureResult
  from reagent.core.utils import lazy_property
  from .reagent_lightning_module import ReAgentLightningModule
label_desc: Use image node_id 17 for calling the MultiStageTrainer obj's underlying member method code with example usage: obj.test_epoch_end(outputs) without return types