code: def test_convert_tf_keras_h5_file(backend):
      if platform.machine() == "arm64":
          pytest.xfail(
              "rdar://101162740 ([CI] [TF] The tf_keras_h5_file API testing is failing on M1 with new OS)"
          )
  
      for file_extension in ("h5", "hdf5"):
          x = tf.keras.Input(shape=(32,), name="input")
          y = tf.keras.layers.Dense(16, activation="softmax")(x)
          keras_model = tf.keras.Model(x, y)
          temp_dir = mkdtemp()
          save_dir = str(temp_dir)
          path = os.path.join(
              save_dir, "tf_keras_model." + file_extension
          )
          keras_model.save(path)
          mlmodel = ct.convert(path, 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=1e-2, atol=1e-2
          )
  
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 3 for calling the TestTensorFlow2ConverterExamples obj's underlying member method code with example usage: obj.test_convert_tf_keras_h5_file(backend) without return types