Update to Turing v0.35 #559
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Preview the changes: https://turinglang.org/docs/pr-previews/559 |
penelopeysm
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Nov 26, 2024
This was referenced Nov 26, 2024
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yebai
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Nov 26, 2024
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I suspect this might yet crash and burn because of the Bijectors stuff, but have to try it.It seems to be fine although we are restricted to Julia 1.10 and Turing 0.35.1 (not 0.35.2), as the latter bumps Bijectors compat to 0.14 which causes a bunch of dependency constraints that I didn't dig into. My suspicion is that all of the upgrades (Julia -> 1.11 and Turing -> 0.35.2) are contingent on TuringLang/Bijectors.jl#341 being merged.
This PR also updates the Bayesian neural network tutorial to work with Mooncake. It didn't work out of the box, I think that this was because of mixed-precision floating point arithmetic. Wrapping the neural network parameters in
Lux.f32(see https://lux.csail.mit.edu/stable/api/Lux/utilities#Updating-Floating-Point-Precision) allowed AD and inference to run locally.I'm fairly confident that the docs should build now.
Closes #521.
Closes #541.