code: def export_serving(model_path):
      
      pred_config = PredictConfig(
          session_init=get_model_loader(model_path),
          model=InferenceOnlyModel(),
          input_names=['input_img_bytes'],
          output_names=['prediction_img_bytes'])
      ModelExporter(pred_config).export_serving('/tmp/exported')
docs: Export trained model to use it in TensorFlow Serving or cloudML.