source = dataset.make_one_shot_iterator().get_next() save_embedding报错

[lixusign]

找不到设备？ 我是分布式训练完之后，save_embedding过程中,出现这个错误，为啥可用设备名字变成下面这个列表
available devices are [ /job:localhost/replica:0/task:0/device:CPU:0, /job:localhost/replica:0/task:0/device:XLA_CPU:0 ].

异常栈如下：
InvalidArgumentError (see above for traceback): Restoring from checkpoint failed. This is most likely due to a mismatch between the current graph and the graph from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:

Cannot assign a device for operation IteratorToStringHandle: Operation was explicitly assigned to /job:worker/task:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0, /job:localhost/replica:0/task:0/device:XLA_CPU:0 ]. Make sure the device specification refers to a valid device.
[[node IteratorToStringHandle (defined at /usr/lib/python2.7/site-packages/tf_euler/python/run_loop.py:163) = IteratorToStringHandle_device="/job:worker/task:0"]]

[lixusign]

已经搞定，refer to https://stackoverflow.com/questions/42397370/distributed-tensorflow-save-fails-no-device