code: def test_save_load_invertible(
      self, test_name: str, model_type: str, keep_original_model=False
  ):
      model_id = MODELS_DICT[model_type]
      self._test_save_load_invertible(
          model_id=model_id, keep_original_model=keep_original_model
      )
  
imports: import gc
  import unittest
  import pytest
  import torch
  from parameterized import parameterized
  from testing_utils import MODELS_DICT, BetterTransformersTestMixin
  from transformers import AutoModelForCausalLM, AutoTokenizer
  from optimum.bettertransformer import BetterTransformer
  from optimum.utils import BloomDummyPastKeyValuesGenerator, DummyPastKeyValuesGenerator, NormalizedConfigManager
  from optimum.utils.testing_utils import grid_parameters, require_accelerate, require_torch_gpu
label_desc: Use image node_id 9 for calling the BetterTransformersDecoderTest obj's underlying member method code with example usage: obj.test_save_load_invertible(test_name, model_type, keep_original_model) without return types