code: def test_encode(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 encode_jitted(
                  input_ids, attention_mask=None, **kwargs
              ):
                  return model.encode(
                      input_ids=input_ids, attention_mask=attention_mask
                  )
  
              with self.subTest("JIT Enabled"):
                  jitted_outputs = encode_jitted(
                      **prepared_inputs_dict
                  ).to_tuple()
  
              with self.subTest("JIT Disabled"):
                  with jax.disable_jit():
                      outputs = encode_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 unittest
  import numpy
  import timeout_decorator
  from transformers import BlenderbotSmallConfig, is_flax_available
  from transformers.testing_utils import require_flax, slow
  from ...generation.test_flax_utils import FlaxGenerationTesterMixin
  from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor
label_desc: Use image node_id 5 for calling the FlaxBlenderbotSmallModelTest obj's underlying member method code with example usage: obj.test_encode() and returns: model