Comments (7)
ChrisRackauckas
commented on June 21, 2024
Seems to be related:
any(isnan,cu(rand(2)))also not implemented.
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maleadt
commented on June 21, 2024
These things are definitely implemented, and tested. https://github.com/JuliaGPU/GPUArrays.jl/blob/cb79e08c09ca0eb776c1ded7b7fe8876bd012981/test/testsuite/mapreduce.jl#L155
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maleadt
commented on June 21, 2024
Ah wait the GPUArrays release should have been breaking, I guess.
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ChrisRackauckas
commented on June 21, 2024
[3a865a2d] CuArrays v2.0.1
[0c68f7d7] GPUArrays v3.1.0 #master (https://github.com/JuliaGPU/GPUArrays.jl.git)
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maleadt
commented on June 21, 2024
I'll just tag and release CuArrays too.
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ChrisRackauckas
commented on June 21, 2024
Oh okay, so it needs both masters right now?
from cuarrays.jl.
maleadt
commented on June 21, 2024
Yeah, this functionality just moved packages. Will also tag a CuArrays release.
from cuarrays.jl.
Related Issues (20)
- similar(PermutedDimsArray(::CuArray)) isa Array HOT 1
- In CuArrays v2.0, GPU operation takes hours to run for the first time HOT 5
- sum!(y::CuVector, x::CuMatrix) throws InvalidIRError error
- 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
- 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
- Package fails to load HOT 4
- Project.toml becoming stale (many notable package downgrades) HOT 1
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