code: def test_concrete_function_list_from_tf_function(self):
      class build_model(tf.Module):
          @tf.function(
              input_signature=[
                  tf.TensorSpec(shape=[3, 4, 5], dtype=tf.float32)
              ]
          )
          def __call__(self, x):
              return tf.nn.relu(x)
  
      model = build_model()
      concrete_func = model.__call__.get_concrete_function()
      mlmodel = converter.convert(
          [concrete_func], outputs=["Identity"], source=frontend
      )
      assert mlmodel is not None
  
imports: import os
  import shutil
  import tempfile
  import pytest
  import coremltools.converters
  from coremltools.converters.mil.input_types import TensorType
  from coremltools.converters.mil.frontend.tensorflow.test.testing_utils import get_tf_keras_io_names
  from coremltools.converters.mil.frontend.tensorflow.test import testing_utils
  from coremltools.converters.mil.frontend.tensorflow2.test.testing_utils import make_tf2_graph, run_compare_tf2
  from coremltools.converters.mil.frontend.tensorflow.test.test_load import frontend, TestTf1ModelInputsOutputs
label_desc: Use image node_id 8 for calling the TestTf2ModelFormats obj's underlying member method code with example usage: obj.test_concrete_function_list_from_tf_function() and returns: tf