Comments (4)
which is also what Base does
Wait, what? No, Base doesn't do any eager conversions. Having cu([1]) == [1f0]
seems like a recipe for disaster, why do you want that conversion back? The fact that you were silently dispatching to floating-point operations when asking for (unsupported) integer versions is an argument for the current behavior, to me.
from cuarrays.jl.
sorry I meant Base converts when doing mathematical operations such as log.([1, 1])
, so I would expect the same for log.(cu([1, 1]))
from cuarrays.jl.
I see now that on CuArrays 1.7 cu
performed the casting, I agree that should be avoided and current behavior for cu
is preferable. On the other hand, I'd like all mathematical operations to work on integer cuarrays through conversion
from cuarrays.jl.
I'd like all mathematical operations to work on integer cuarrays through conversion
Yeah, understandably. We're in the annoying situation now where we've been hoping to reuse Base's conversions through Cassette, only redefining the bottommost calls to incompatible CPU library intrinsics with NVIDIA ones, but progress on Cassette inferability has been... slow. In the meantime, we don't have a good policy or place to add higher-level functions like log
accepting integers. I guess we should just add them to CUDAnative for now, e.g. like JuliaGPU/CUDAnative.jl#445. If you have the need, and the time to create a PR, feel free to add some implementations there!
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
- 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
- Package fails to load HOT 4
- Project.toml becoming stale (many notable package downgrades) HOT 1
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from cuarrays.jl.