code: def test_save_load_bf16_to_base_pt(self):
      (
          config,
          _,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
      base_class = make_partial_class(
          FLAX_MODEL_MAPPING[config.__class__],
          input_shape=self.init_shape,
      )
  
      for model_class in self.all_model_classes:
          if model_class.__name__ == base_class.__name__:
              continue
  
          model = model_class(config)
          model.params = model.to_bf16(model.params)
          base_params_from_head = flatten_dict(
              unfreeze(model.params[model.base_model_prefix])
          )
  
          # convert Flax model to PyTorch model
          pt_model_class = getattr(
              transformers, model_class.__name__[4:]
          )  # Skip the "Flax" at the beginning
          pt_model = pt_model_class(config).eval()
          pt_model = load_flax_weights_in_pytorch_model(
              pt_model, model.params
          )
  
          # check that all base model weights are loaded correctly
          with tempfile.TemporaryDirectory() as tmpdirname:
              pt_model.save_pretrained(tmpdirname)
              base_model = base_class.from_pretrained(
                  tmpdirname, from_pt=True
              )
  
              base_params = flatten_dict(unfreeze(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 functools
  import inspect
  import tempfile
  import unittest
  import transformers
  from transformers import WhisperConfig, is_flax_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_flax, slow
  from transformers.utils import cached_property
  from transformers.utils.import_utils import is_datasets_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor
label_desc: Use image node_id 6 for calling the FlaxWhisperModelTest obj's underlying member method code with example usage: obj.test_save_load_bf16_to_base_pt() without return types