code: def test_convert_tf_keras_model():
      import tensorflow as tf
  
      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)
  
      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-4
      )
  
imports: from os import getcwd, chdir
  from shutil import rmtree
  from os.path import exists
  from tempfile import mkdtemp
  import pytest
  import numpy
  import coremltools
  import os
  from coremltools._deps import _HAS_TF_1, _HAS_TF_2, _HAS_TORCH, MSG_TF1_NOT_FOUND, MSG_TF2_NOT_FOUND, MSG_TORCH_NOT_FOUND
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() without return types