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TuringLang / Turing.jl

Bayesian inference with probabilistic programming.
https://turinglang.org
MIT License
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Refactoring AD Tests #2307

Open willtebbutt opened 3 weeks ago

willtebbutt commented 3 weeks ago

Currently, there are many situation in which we run an entire sampler in order to test AD, such as many cases in https://github.com/TuringLang/Turing.jl/blob/master/test/mcmc/abstractmcmc.jl .

This is quite compute intensive. @yebai pointed out that perhaps we should just check that the gradient runs and is correct, rather than thousants of mcmc chains.

yebai commented 1 week ago

We should probably implement some functionality to benchmark various AD backends during this refactoring.