code: def test_convert_tf_keras_model(backend):
      x = tf.keras.Input(shape=(32,), name="input")
      y = tf.keras.layers.Dense(16, activation="softmax")(x)
      keras_model = tf.keras.Model(x, y)
  
      mlmodel = ct.convert(keras_model, convert_to=backend[0])
  
      test_input = np.random.rand(2, 32)
      expected_val = keras_model(test_input)
      results = mlmodel.predict({"input": test_input})
      np.testing.assert_allclose(
          results["Identity"], expected_val, rtol=0.005
      )
  
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 4 for calling the TestTensorFlow2ConverterExamples obj's underlying member method code with example usage: obj.test_convert_tf_keras_model(backend) without return types