code: def test_convert_tf2_keras():
      x = tf.keras.Input(shape=(32,), name="input")
      y = tf.keras.layers.Dense(16, activation="softmax")(x)
      keras_model = tf.keras.Model(x, y)
      model = ct.convert(keras_model, convert_to="milinternal")
      assert isinstance(model, ct.converters.mil.Program)
  
imports: import itertools
  import os
  import platform
  from os import chdir, getcwd
  from shutil import rmtree
  from tempfile import mkdtemp
  import numpy
  import pytest
  import coremltools
  from coremltools.converters.mil.frontend.tensorflow.test.test_tf_conversion_api import TestInputOutputConversionAPI
  from coremltools.converters.mil.frontend.tensorflow.test.test_tf_conversion_api import TestiOS16DefaultIODtype
  from coremltools.converters.mil.mil import types
  from coremltools.converters.mil.testing_reqs import backends
  import tensorflow
  from tensorflow import keras
  from tensorflow.keras import layers
label_desc: Use image node_id 9 for calling the TestTensorFlow2ConverterExamples obj's underlying member method code with example usage: obj.test_convert_tf2_keras() without return types