code: def test_keras_model_inference():
      logits, _, _, _, crf_layer = get_test_data_extended()
  
      input_tensor = tf.keras.layers.Input(shape=(3, 5))
      decoded_sequence, _, _, _ = crf_layer(input_tensor)
      model = tf.keras.Model(input_tensor, decoded_sequence)
  
      model.predict(logits)
      model(logits).numpy()
  
imports: import itertools
  import os
  import math
  import tempfile
  import pytest
  import numpy
  import tensorflow
  from tensorflow_addons.layers.crf import CRF
  from tensorflow_addons.text.crf import crf_log_likelihood
  from tensorflow_addons.utils import test_utils
label_desc: Use image node_id 3 for calling a global function with example usage: test_keras_model_inference() without return types