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Ref. FluxML/Flux.jl#2368. I see a couple of possibly complementary ways to go about this. Easiest would be to define an Adapt rule for OneElement
so it's materialized or substituted with some GPU-friendly equivalent when run through CUDA.cu
. The other would be defining overloads for certain functions such as mul!
which can take advantage of the sparsity.
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