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> > 同问，savedmodel保存为空，这个问题有人解决了吗？ > > ```python > with tf.name_scope("embedding"): > self.weights = self._initialize_weights() > > # model > self.embeddings = tf.nn.embedding_lookup(self.weights["feature_embeddings"], > self.feat_index) # None * F * K >...

> > > > 同问，savedmodel保存为空，这个问题有人解决了吗？ > > > > > > > > > ```python > > > with tf.name_scope("embedding"): > > > self.weights = self._initialize_weights() > > > >...

`builder = tf.saved_model.builder.SavedModelBuilder('models/siam-fc/1') builder.add_meta_graph_and_variables( model.sess, [tf.saved_model.tag_constants.SERVING], signature_def_map={ 'tracker_init': model_signature, 'tracker_predict': model_signature2 }, **saver=model.saver** ) builder.save()` 问题解决，可以在上述代码块中指定saver参数。 具体可参考 https://github.com/tensorflow/models/issues/1988 https://github.com/tensorflow/models/issues/1988#issuecomment-500785470

同问