code: def test_from_save_pretrained_dynamo(self):
      init_dict, _ = self.prepare_init_args_and_inputs_for_common()
      inputs = [init_dict, self.model_class]
      run_test_in_subprocess(
          test_case=self,
          target_func=_test_from_save_pretrained_dynamo,
          inputs=inputs,
      )
  
imports: import inspect
  import tempfile
  import traceback
  import unittest
  import unittest.mock
  import uuid
  from typing import Dict, List, Tuple
  import numpy
  import requests_mock
  import torch
  from huggingface_hub import delete_repo
  from requests.exceptions import HTTPError
  from diffusers.models import UNet2DConditionModel
  from diffusers.models.attention_processor import AttnProcessor, AttnProcessor2_0, XFormersAttnProcessor
  from diffusers.training_utils import EMAModel
  from diffusers.utils import is_xformers_available, logging
  from diffusers.utils.testing_utils import CaptureLogger, require_python39_or_higher, require_torch_2, require_torch_accelerator_with_training, require_torch_gpu, run_test_in_subprocess, torch_device
  from ..others.test_utils import TOKEN, USER, is_staging_test
label_desc: Use image node_id 6 for calling the ModelTesterMixin obj's underlying member method code with example usage: obj.test_from_save_pretrained_dynamo() without return types