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Yup, you can pass tf.ConfigProto(allow_soft_placement=True) to the tf.Session if you really want to ignore device placement directives in the graph. I'm not a huge fan of using this option (I'd rather the graph be rewritten to strip out the device fields explicitly), but that should work.
I trained a model on a GPU machine.
When l load such model on a cpu-only machine, I get the error below.
Thank you for any suggestions!
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