tensorflow模型文件可以大致分为两种：

1.通过tensorflow.train.Saver来生成

1)保存

saver = tf.train.Saver(tf.all_variables())saver.save(sess, 'model.ckpt')

2)加载

saver=tf.train.Saver(tf.all_variables())save.restore(sess, 'model.ckpt')

2.通过tensorflow.GraphDef

1)保存

tf.train.write_graph(sess.graph_def, path, filename)或者witf tf.gfile.FastGFile(filename, 'wb') as f:    f.write(sess.graph_def.SerializeToString())

2)加载

with tf.gfile.FastGFile(filename, 'rb') as f:    graph_def = tf.GraphDef()    graph_def.ParseFromString(f.read())    tf.import_graph_def(graph_def, name='')

暂时写这些，未完待续