[mumblemumble]

I'm not sure I see why you would expect anything different? The entire point of this framework is to provide a bunch of tools for squeezing the most you can out of SSE, which is specific to x86.

I don't know if there's an ARM-specific equivalent, but, if you want to use TensorFlow or PyTorch or whatever on ARM, they'll work quite happily with the Free Software implementations of BLAS & friends. If you code at an appropriately high level, the nice thing about these libraries is that you get to have vendor-specific optimizations without having to code against vendor-specific APIs. Which is great. I sincerely wish I had that for the vector-optimized code I was writing 20 years ago. In any case, if ARM Holdings or a licensee wants to code up their own optimized libraries that speak the same standard APIs (and assuming they haven't already), that would be awesome, too. The more the merrier. How about we all get in on the vendor-optimized libraries for standard APIs bandwagon. Who doesn't want all the vendor-specific optimizations without all the vendor lock-in?

Alternatively, if you would rather get really good and locked in to a specific vendor, you could opt instead to spam the CUDA button. That's a popular (and, as far as I'm concerned, valid, if not necessarily suited to my personal taste) option, too.