CPU backend #647
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CPU backend #647
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cc @giordano |
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giordano
approved these changes
Jan 29, 2025
src/Compiler.jl
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| elseif backend == "CPU" | ||
| backend = "cpu" | ||
| end | ||
| @show backend |
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or rather "curreently being debugged print" :P
avik-pal
reviewed
Jan 29, 2025
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On macOS: $ nm /Users/mose/.julia/artifacts/f3d3555e5fc223023219f21123197e90fa208f2d/lib/libReactantExtra.dylib | grep ClientGetPlatformName
000000000000472c t _ClientGetPlatformNameLowercase |
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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@avik-pal was that fn not marked exported? |
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Merged
avik-pal
reviewed
Jan 30, 2025
![github-actions[bot]](https://avatars.githubusercontent.com/in/15368?s=60&v=4){kind=small}
| if device_ordinal < 0 | ||
| device_ordinal = XLA.DeviceToClientDeviceOrdinal(device) | ||
| end | ||
|
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[JuliaFormatter] reported by reviewdog 🐶
Suggested change
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| exec = XLA.Compile( | ||
| client, | ||
| mod; | ||
| device_ordinal, | ||
| num_replicas=1, | ||
| num_partitions=1, | ||
| use_shardy_partitioner=false, | ||
| mod | ||
| ) |
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[JuliaFormatter] reported by reviewdog 🐶
Suggested change
| exec = XLA.Compile( | |
| client, | |
| mod; | |
| device_ordinal, | |
| num_replicas=1, | |
| num_partitions=1, | |
| use_shardy_partitioner=false, | |
| mod | |
| ) | |
| exec = XLA.Compile(client, mod) |
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| function Compile( | ||
| client::Client, | ||
| mod::MLIR.IR.Module; | ||
| device_ordinal::Int=-1, | ||
| num_replicas::Int=1, | ||
| num_partitions::Int=1, | ||
| use_shardy_partitioner::Bool=false, | ||
| mod::MLIR.IR.Module | ||
| ) |
There was a problem hiding this comment.
[JuliaFormatter] reported by reviewdog 🐶
Suggested change
| function Compile( | |
| client::Client, | |
| mod::MLIR.IR.Module; | |
| device_ordinal::Int=-1, | |
| num_replicas::Int=1, | |
| num_partitions::Int=1, | |
| use_shardy_partitioner::Bool=false, | |
| mod::MLIR.IR.Module | |
| ) | |
| function Compile(client::Client, mod::MLIR.IR.Module) |
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Naturally, requires jll update.
But enables us to run GPU kernels on CPU (without a cuda device)