Comments (4)
Yeah, experimental stuff got renamed. Fixed in CUDA.jl.
from cuarrays.jl.
Seems to be 1.5-only, so things still run on current release. Still, it'd be nice to be able to load current Flux on 1.5 when it comes out. Is it really the plan to just drop CuArrays entirely? That seems to assume a very smooth and quick ecosystem upgrade to CUDA.jl.
from cuarrays.jl.
Is it really the plan to just drop CuArrays entirely?
Correct. CUDA.jl should be a drop in replacement, and only people using 1.5 would run into this. Can just have a look to strip the offending functionality, as a workaround (it's only used for tensor core support).
from cuarrays.jl.
Should be fixed with JuliaRegistries/General#17342. Can you verify?
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
- 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
- Project.toml becoming stale (many notable package downgrades) HOT 1
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from cuarrays.jl.