Comments (11)
ok, on ARM64 it seems to work.
from metal.jl.
Good to hear. I'll add an error message for now to inform users about this limitation.
from metal.jl.
This looks bad. What kind of mac are you using?
from metal.jl.
MacBook Pro 16" 2021
from metal.jl.
We only fully support macs from M1 onwards. But something that simple should still work.
This is on Julia version 1.10.0 (x64)
I suppose x64 is inaccurate here.
from metal.jl.
x86-64 is more accurate (see https://julialang.org/downloads/). So I am not using the native Julia version.
And as I said. M1Max, so more recent than M1.
from metal.jl.
Are you maybe using an outdated version of Metal.jl? Both examples seem to work on my M1 Mac.
from metal.jl.
Metal v1.1.0
(one issue might be that I am using OSX 13.0)
from metal.jl.
Interesting. Have you tried using the ARM64 (Apple Silicon) version of Julia with Metal.jl?
from metal.jl.
not yet. will try.
from metal.jl.
I could reproduce this on my 2018 intel Mac. So the issue is not caused by Rosetta but rather by the objc calling convention being different for x86 (JuliaInterop/ObjectiveC.jl#37)
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Related Issues (20)
- Port `accmulate!` and `findall` from CUDA.jl HOT 8
- `MTL.append_copy!` silently ignores Metal documentation restriction HOT 3
- Tests failing with `GPUCompiler` v0.26.5 and `LLVM` v7.1 HOT 3
- downgrades LLVM HOT 2
- Missing public/exported docstrings HOT 1
- Audit exports/public symbols HOT 1
- Generalize `adapt` to allow specifying the storage mode but not the element type and/or number of dimensions HOT 3
- sqrt(::Complex) unsupported due to conversion exceptions HOT 3
- Compilation failure on 1.11 HOT 4
- Metal 3.1 and 3.2 HOT 4
- M1/M2: Large matrix multiplications can contains NaNs HOT 24
- `MTLBinaryArchive`
- `Metal.code_agx()` failing in MacOS 15 Beta 3 HOT 2
- Test for min / max broadcasting issue HOT 5
- Add a `metal_version` function
- Type piracy HOT 1
- Potentially unused code in gpuarrays.jl
- Control flow-related miscompilation: HOT 1
- Implement MPSMatrixSolve HOT 1
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