code: def test_tf_function():
      batch_size = 4
      num_tags = 10
      input_signature = (
          tf.TensorSpec([None, None, num_tags]),
          tf.TensorSpec([num_tags, num_tags]),
          tf.TensorSpec([None], dtype=tf.int32),
      )
      crf_decode = tf.function(input_signature=input_signature)(
          text.crf_decode
      )
      potentials = tf.random.uniform([batch_size, 1, num_tags])
      transition_params = tf.random.uniform([num_tags, num_tags])
      sequence_length = tf.ones([batch_size], dtype=tf.int32)
      crf_decode(potentials, transition_params, sequence_length)
  
imports: import itertools
  from packaging.version import Version
  import pytest
  import numpy
  import tensorflow
  from tensorflow_addons import text
  from tensorflow_addons.utils import test_utils
  from numpy.testing import assert_array_equal
label_desc: Use image node_id 16 for calling a global function with example usage: test_tf_function() without return types