Key Variable not found in checkpoint [[{{node save/RestoreV2}} = RestoreV2[dtypes=

报错信息：  一堆  挑了几个重要的

tensorflow.python.framework.errors_impl.NotFoundError: Key Variable not found in checkpoint
     [[{{node save/RestoreV2}} = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]

During handling of the above exception, another exception occurred:

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 Variable not found in checkpoint
     [[{{node save/RestoreV2}} = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
 

首先说下   这个问题  是在     saver. restore

saver.restore(sess,path）  这个位置

搞的头疼！   一直搞不定   最后发现   

突破点  Key Variable not found in checkpoint     检查点中找不到关键变量

变量什么的  发现自己也都有啊   

到底是什么关键变量？？？？

发现 自己在书写 过程中    喜欢加上

with tf.variable_scope('xxx')

所以  把所有with 这个类型的  全删除    再重新 训练 测试   发现 成功解决！

看似 几句话    改了代码无数次 都是泪！