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xzackli / Bolt.jl

differentiable boltzmann code
MIT License
43 stars 5 forks source link

AD backend comparison #87

Open jmsull opened 1 year ago

jmsull commented 1 year ago

Have long needed to do this in a quantitative way, so making an issue for it

marius311 commented 1 year ago

On the off chance you dont already know about it but https://github.com/JuliaDiff/AbstractDifferentiation.jl is a really good way to write code which is AD-backend agnostic.

jmsull commented 1 year ago

I did not know about this - will give it a shot, thanks!!

On Tue, May 23, 2023 at 15:32 Marius Millea @.***> wrote:

On the off chance you dont already know about it but https://github.com/JuliaDiff/AbstractDifferentiation.jl is a really good way to write code which is AD-backend agnostic.

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