code: def test_compile_tf_model(self):
      (
          config,
          inputs_dict,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
  
      optimizer = tf.keras.optimizers.Adam(
          learning_rate=3e-5, epsilon=1e-08, clipnorm=1.0
      )
      loss = tf.keras.losses.SparseCategoricalCrossentropy(
          from_logits=True
      )
      metric = tf.keras.metrics.SparseCategoricalAccuracy("accuracy")
  
      model_class = self.all_generative_model_classes[0]
      input_ids = {
          "decoder_input_ids": tf.keras.Input(
              batch_shape=(2, 2000),
              name="decoder_input_ids",
              dtype="int32",
          ),
          "input_ids": tf.keras.Input(
              batch_shape=(2, 2000), name="input_ids", dtype="int32"
          ),
      }
  
      # Prepare our model
      model = model_class(config)
      model(
          self._prepare_for_class(inputs_dict, model_class)
      )  # Model must be called before saving.
      # Let's load it from the disk to be sure we can use pretrained weights
      with tempfile.TemporaryDirectory() as tmpdirname:
          model.save_pretrained(tmpdirname)
          model = model_class.from_pretrained(tmpdirname)
  
      outputs_dict = model(input_ids)
      hidden_states = outputs_dict[0]
  
      # Add a dense layer on top to test integration with other keras modules
      outputs = tf.keras.layers.Dense(
          2, activation="softmax", name="outputs"
      )(hidden_states)
  
      # Compile extended model
      extended_model = tf.keras.Model(
          inputs=[input_ids], outputs=[outputs]
      )
      extended_model.compile(
          optimizer=optimizer, loss=loss, metrics=[metric]
      )
  
imports: import tempfile
  import unittest
  from transformers import AutoTokenizer, PegasusConfig, is_tf_available
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow, tooslow
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor
label_desc: Use image node_id 4 for calling the TFPegasusModelTest obj's underlying member method code with example usage: obj.test_compile_tf_model() without return types