Comments (2)
Sure, that's very possible. It's not high up my list of priorities though, so feel free to take a stab at it. It would require packaging vkFFT on Yggdrasil, probably using separate packages for each of the back-ends, and using that from here in Metal.jl.
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This would be awesome!
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Related Issues (20)
- `fill!` for `Int8` errors when the value is negative
- Support for macOS Sonoma HOT 1
- Long stacktrace when trying to create Float64 rand arrays HOT 2
- allowscalar equivalent for Metal.jl HOT 2
- Equivalent of cuSparse - start with sparse matvec HOT 7
- MPS - Support for Convolutional Neural Network kernels
- mapreduce allocates a lot on the CPU HOT 3
- Better error message for mixing MtlArray and Array operations
- Compilation failure due to high register usage HOT 3
- Threadgroup atomics require all-atomic operation HOT 3
- KernelAbstractions: add Atomix back-end
- Define map! ? HOT 1
- Q: How to debug kernels - KA.@print?
- Crash during MTLDispatchListApply HOT 14
- Unable to compile trig functions through ForwardDiff HOT 4
- `symbol multiply defined!` Bug/crash on Julia master, fine on 1.10 HOT 1
- `log1p` fails on `MtlArray{Float32}` HOT 10
- When precompiling, UndefVarError: `CompilerConfig` not defined HOT 2
- Legalization errors with vectorized code HOT 3
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