in china/2020_GCR_Kubeflow_Workshop/resources/mnist-tensorflow-jupyter.py [0:0]
def export_model(model, model_export_path):
version = 1
export_path = os.path.join(model_export_path, str(version))
tf.saved_model.simple_save(
keras.backend.get_session(),
export_path,
inputs={'input_image': model.input},
outputs={t.name:t for t in model.outputs})
print('\nSaved model: {}'.format(export_path))