code: def test_jit_compilation(self):
      (
          config,
          inputs_dict,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
  
      for model_class in self.all_model_classes:
          with self.subTest(model_class.__name__):
              prepared_inputs_dict = self._prepare_for_class(
                  inputs_dict, model_class
              )
              model = model_class(config)
  
              @jax.jit
              def model_jitted(
                  input_features, decoder_input_ids, **kwargs
              ):
                  return model(
                      input_features=input_features,
                      decoder_input_ids=decoder_input_ids,
                      **kwargs,
                  )
  
              with self.subTest("JIT Enabled"):
                  jitted_outputs = model_jitted(
                      **prepared_inputs_dict
                  ).to_tuple()
  
              with self.subTest("JIT Disabled"):
                  with jax.disable_jit():
                      outputs = model_jitted(
                          **prepared_inputs_dict
                      ).to_tuple()
  
              self.assertEqual(len(outputs), len(jitted_outputs))
              for jitted_output, output in zip(jitted_outputs, outputs):
                  self.assertEqual(jitted_output.shape, output.shape)
  
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 4 for calling the FlaxWhisperModelTest obj's underlying member method code with example usage: obj.test_jit_compilation() and returns: model