code: def test_save_load_to_base(self):
      (
          config,
          _,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
      base_class = FLAX_MODEL_MAPPING[config.__class__]
  
      for model_class in self.all_model_classes:
          if model_class == base_class:
              continue
  
          model = model_class(config)
          base_params_from_head = get_params(
              model.params, from_head_prefix=model.base_model_prefix
          )
  
          # check that all base model weights are loaded correctly
          with tempfile.TemporaryDirectory() as tmpdirname:
              model.save_pretrained(tmpdirname)
              base_model = base_class.from_pretrained(tmpdirname)
  
              base_params = get_params(base_model.params)
  
              for key in base_params_from_head.keys():
                  max_diff = (
                      (base_params[key] - base_params_from_head[key])
                      .sum()
                      .item()
                  )
                  self.assertLessEqual(
                      max_diff, 1e-3, msg=f"{key} not identical"
                  )
  
imports: import copy
  import inspect
  import json
  import random
  import tempfile
  from typing import List, Tuple
  import numpy
  import transformers
  from transformers import is_flax_available, is_torch_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import CaptureLogger, is_pt_flax_cross_test, require_flax, torch_device
  from transformers.utils import CONFIG_NAME, GENERATION_CONFIG_NAME, logging
  from transformers.utils.generic import ModelOutput
label_desc: Use image node_id 9 for calling the FlaxModelTesterMixin obj's underlying member method code with example usage: obj.test_save_load_to_base() without return types