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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.
The text was updated successfully, but these errors were encountered:
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 throughCUDA.cu
. The other would be defining overloads for certain functions such asmul!
which can take advantage of the sparsity.The text was updated successfully, but these errors were encountered: