Comments (2)
Happened in this 1.9 test.
https://buildkite.com/julialang/metal-dot-jl/builds/396#0186f5db-bea5-4a3d-9aa1-eadbf6e7be5c
from metal.jl.
I haven't seen this locally, so let's hope this was also fixed by #166. Please re-open if it isn't.
from metal.jl.
Related Issues (20)
- 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
- sum(vector) allocates a lot and feels slow. HOT 2
- 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
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- 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
- Use vkFFT for FFT support HOT 2
- Error with Julia 1.10 HOT 1
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from metal.jl.