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Not every op supported in generic Tensorflow (software) can be converted to CoreML ops (hardware), which means a number of the more complicated models can't be
by asparagui 8y ago
Not every op supported in generic Tensorflow (software) can be converted to CoreML ops (hardware), which means a number of the more complicated models can't be automagically converted. If you have specific domain knowledge you can add substitute ops/roll your own, but this is beyond the scope of most people trying to bring models over to mobile.