code: def setup_class(self):
      self._cwd = getcwd()
      self._temp_dir = mkdtemp()
      # step into temp directory as working directory
      # to make the user-facing examples cleaner
      chdir(self._temp_dir)
  
      # create toy models for conversion examples
      # write a toy tf.keras HDF5 model
      tf_keras_model = tf.keras.Sequential(
          [
              tf.keras.layers.Flatten(input_shape=(28, 28)),
              tf.keras.layers.Dense(128, activation=tf.nn.relu),
              tf.keras.layers.Dense(10, activation=tf.nn.softmax),
          ]
      )
      tf_keras_model.save("./tf_keras_model.h5")
  
      # write a toy SavedModel directory
      tf_keras_model.save("./saved_model", save_format="tf")
  
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 1 for calling the TestTensorFlow2ConverterExamples obj's underlying member method code with example usage: obj.setup_class() without return types