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TuringLang
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NormalizingFlows.jl
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More CUDA compatibility
- #52
#52
Draft
zuhengxu
wants to merge 16 commits into
main
TuringLang/NormalizingFlows.jl:main
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gpu
TuringLang/NormalizingFlows.jl:gpu
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More CUDA compatibility
#52
zuhengxu
wants to merge 16 commits into
main
TuringLang/NormalizingFlows.jl:main
from
gpu
TuringLang/NormalizingFlows.jl:gpu
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Commits on Jun 20, 2025
start testing full gpu training for realnvp
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Commits on Aug 21, 2026
Merge remote-tracking branch 'origin/main' into gpu
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Commits on Aug 28, 2026
Take the base distribution log-density on the device in the batched ELBO
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Test the batched MvNormal log-density against Distributions
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Test the log-density on device arrays without a GPU
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Extend the CUDA tests to the batched ELBO and planar flow training
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Add a GPU planar flow demo with its own project
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Correct the nsf note about running on the GPU
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Add a changelog entry for the GPU batched ELBO
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Bump patch version to 0.4.1
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Move the planar layer to the host structurally in the CUDA reference check
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State the observed Mooncake CUDA failure instead of the assumed cause
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Give Mooncake its own zero-derivative rule for the device draw
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Train with Mooncake as well as Zygote in the CUDA tests
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Use Mooncake in the GPU demo
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Sum the mapped array so the GPU rule set covers it
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