Error when restoring model

[thumbe12856]

After training the model for 1 day, I found that there was no meta graph file, so I couldn't restore it in src/demo.py. So I modified the src/worker.py:23, in the class of FastSave(), from super(FastSaver, self).save(sess, save_path, ..., False), to super(FastSaver, self).save(sess, save_path, ... , True). And this did create the meta graph file.

But when I used the demo.py to restore it, I got the error:

InvalidArgumentError (see above for traceback): Cannot assign a device for operation 'global/predictor/flast/b/Adam_1': Operation was explicitly assigned to /job:ps/task:0/device:CPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0 ]. Make sure the device specification refers to a valid device.
	 [[Node: global/predictor/flast/b/Adam_1 = VariableV2[_class=["loc:@global/predictor/flast/b"], container="", dtype=DT_FLOAT, shape=[288], shared_name="", _device="/job:ps/task:0/device:CPU:0"]()]]

Why the meta graph was explicitly assigned the operation to /job:ps/task:0/device:CPU:0 ?
And what can I do to solve it?

[leeswon]

Hello, I spent some days with same issue, but I found out that demo.py is not the correct one to see trained behavior of the model. You could restore trained parameters and run test scenarios by using inference.py.