Comments (3)
My first suggestions for an alternative would be ndarray. It's purely CPU (I think?), but i don't know any non-CPU solutions that don't require external software.
I've used it for my own neural networks and it's great to work with.
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I want to first make a few improvements to get to something really usable in ML, like adding optimisers and parameter freezing, but once I get to that MVP for sure I will look into making the underlying "array" library replaceable with most probably ndarray
as default.
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Hey! As you say it is going to be a bit of pain indeed to make that abstraction but it might be worth it.
Also if we choose the right alternative we might be able to have this crate to be #![no_std]
compatible. What would you propose as an alternative to arrayfire?
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