export_model.py 文件源码

def export_model(self, model_dir, global_step_val, last_checkpoint):
    """Exports the model so that it can used for batch predictions."""

    with self.graph.as_default():
      with tf.Session() as session:
        session.run(tf.global_variables_initializer())
        self.saver.restore(session, last_checkpoint)

        signature = signature_def_utils.build_signature_def(
            inputs=self.inputs,
            outputs=self.outputs,
            method_name=signature_constants.PREDICT_METHOD_NAME)

        signature_map = {signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY:
                         signature}

        model_builder = saved_model_builder.SavedModelBuilder(model_dir)
        model_builder.add_meta_graph_and_variables(session,
            tags=[tag_constants.SERVING],
            signature_def_map=signature_map,
            clear_devices=True)
        model_builder.save()