我正在尝试使用以下代码段导出先前训练的模型（pb）以用于服务
from tensorflow_serving.session_bundle import exporter
def create_graph():
"""Creates a graph from saved GraphDef file and returns a saver."""
# Creates graph from saved graph_def.pb.
with tf.gfile.FastGFile(modelFullPath, 'rb') as f:
graph_def = tf.GraphDef()
graph_def.ParseFromString(f.read())
_ = tf.import_graph_def(graph_def, name='')
def export():
print 'Exporting trained model to', export_path
saver = tf.train.Saver(sharded=True)
model_exporter = exporter.Exporter(saver)
signature = exporter.classification_signature(input_tensor=x, scores_tensor=y)
model_exporter.init(sess.graph.as_graph_def(),default_graph_signature=signature)
model_exporter.export(export_path, tf.constant(FLAGS.export_version), sess)
print 'Done exporting!'
但是没有找到 exporter.py 中的 manifest_pb2。我在这种方法中是否遗漏了一些基本的东西？