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Well you can predict a little when you switch the scope to its CPU capabilities, not chip vendor platforms. For example, Tensorflow-lite recently added a suppor
by kbumsik 7y ago
Well you can predict a little when you switch the scope to its CPU capabilities, not chip vendor platforms. For example, Tensorflow-lite recently added a support for CMSIS-NN (ARM's cuDNN for microcontrollers) so you can run it on the new ARM chips too when they are released.
- m0zg 7y agoBest I can tell, CMSIS-NN is just a software library, and not even a state of the art one at that. No hardware work was involved in supporting that.
- kbumsik 7y ago> No hardware work was involved in supporting that. It is a hardware-specific library that relies Cortex-M DSP instruction. > not even a state of the art one at that What do you expect? Here we are talking about microcontrollers which is always far behind of the cutting-edge computing.