I did not do any experiments, but I would be very surprised if it is not at least 50% - you only have a few very small functions for all the infers, while you need at least 8 variants for `MSHADOW_TYPE_SWITCH`, and especially on the NumPy side there are functions that use those switches nested (so 64+ variants), not to mention that those functions tend to be larger.
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