serialization - Example to save and load a sub graph in TensorFlow? -

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i created model within variable/name scope , store graph definition , variables disk later load without defining graph again. how can save , load operations , variables within given variable/name scope?

conveniently, use tf.saver. save() has option store meta graph restore() not seem import it. moreover, in saver constructor, can specify list of parameters, not name scope control operations saved.

there tf.train.write_graph() couldn't find explanation of , how relates saver class , meta graph.


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