Comments (3)
It's a work in progress:
#70
JuliaGPU/GPUArrays.jl#108
And currently I'm running into:
JuliaGPU/CUDAnative.jl#180
from cuarrays.jl.
LLVM compiles out of box in Julia 0.7-dev and does not want to do that in Julia 0.6.2
It requires a manually built Julia on 0.6. That shouldn't be too much effort though, just clone the git repo, check-out the latest 0.6 tag, and run make
. As you mention, we have worked around this requirement on 0.7.
CuArrays does not want to build itself in Julia 0.7-dev
That is a work in progress, AFAIU @SimonDanisch has a branch for 0.7 compatibility on CuArrays/CLArrays/GPUArrays.
from cuarrays.jl.
Thank you!
It requires a manually built Julia on 0.6. That shouldn't be too much effort though, just clone the git repo, check-out the latest 0.6 tag, and run make. As you mention, we have worked around this requirement on 0.7.
I tried to do it (clone the repo from git, then run make), but I've got other errors such as "@debug is unknown" or "module Test cannot be found in 0.6". Probably and due to my experience, it's better if I wait for a stable future release of 0.7 :-)
from cuarrays.jl.
Related Issues (20)
- similar(PermutedDimsArray(::CuArray)) isa Array HOT 1
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- Where can I find
- Where can I find All the using instructions of CuArrays? HOT 3
- add implicit float conversion to math functions HOT 4
- Multiplication between mixed types doesn't drop leading dimensions HOT 2
- Very slow 4D broadcast in 2.0.1 HOT 1
- Failed to detect installed CUDA version. HOT 1
- Sum function is slow HOT 8
- CURAND_STATUS_PREEXISTING_FAILURE with v2.0.1 but not v1.7.3 HOT 8
- Deadlock during memory free HOT 5
- Indexing CuArrays with Empty Ranges Errors HOT 5
- Sum, any, etc. with function is no longer implemented HOT 7
- Training Halts when Using CuArrarys HOT 6
- CUBLAS initialization HOT 1
- Performance issue with v2.1.0 compared with v1.7.3 HOT 4
- .+ CartesianIndices: InvalidIRError: compiling kernel broadcast HOT 1
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