tensorflow difference between saving model via exporter and tf.train.write_graph()?
问题 What is difference between saving a model by using exporter as specified in tensorflow serving: eg: from tensorflow.contrib.session_bundle import exporter #from tensorflow_serving.session_bundle import exporter saver = tf.train.Saver(sharded=True) model_exporter = exporter.Exporter(saver) model_exporter.init( sess.graph.as_graph_def(), named_graph_signatures={ 'inputs': exporter.generic_signature({'images': x}), 'outputs': exporter.generic_signature({'scores': y})}) model_exporter.export