与TensorFlow类似的问题：Restoring Multiple Graphs but using the tf.train.import_meta_graph() interface。
我的代码：
with self.graph.as_default(), tf.device(device):
with tf.Session(graph=self.graph, config=self.tf_config) as sess:
# Add inherited graphs to CenterNet's graph.
self.mm_saver = tf.train.import_meta_graph(self.maskmaker.model_ckpt + ".meta")
self.dv_saver = tf.train.import_meta_graph(self.deepvar.model_ckpt + ".meta")
# First saver can restore
self.mm_saver.restore(sess, self.maskmaker.model_ckpt)
# Second saver raises an exception
self.dv_saver.restore(sess, self.deepvar.model_ckpt)
异常（没有回溯，这是非常非常长的）。
NotFoundError (see above for traceback): Restoring from checkpoint failed. This is most likely due to a Variable name or other graph key that is missing from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:
Key classifier/bias not found in checkpoint
[[node save/RestoreV2 (defined at /home/markemus/dev/IHC/ihc/neuralnets.py:936) = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_INT32], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
看起来 dv_saver 正在尝试恢复图形上的所有变量，而不仅仅是它自己的变量。失败的关键，“分类器/偏差”，最初是 mm 图表的一部分。
我如何限制它恢复自己的密钥？
相关分类