Comments (3)
Hi @ajsagit, not a developer but a few links to get you started:
https://juliagpu.org/cuda/
https://juliagpu.org/learn/
Maybe this is the documentation you are looking for? https://juliagpu.gitlab.io/CUDA.jl/
If you're looking for the CuArrays.jl API documentation it is here: https://juliagpu.gitlab.io/CuArrays.jl/
CuArrays.zeros
does not have a docstring so it's not in the API documentation but you can find the definition here:
Line 337 in 1ec6c0c
You can locate functions with the @functionloc
macro. For example:
julia> @functionloc CuArrays.zeros(10)
("/home/alir/.julia/packages/CuArrays/1njKF/src/array.jl", 321)
To be fair, it might not be the easiest thing to find the API docs as the only link is through a badge in the CuArrays.jl README, but if you think it's not visible enough then you should open an issue on CuArrays.jl to discuss ways of making the API docs more visible.
It would be great if wonderful documentation just appeared but writing good documentation is hard work and (at least partially) community-driven for open-source projects like Julia's GPU stack. The documentation is still a work-in-progress but if you have suggestions for what should be added, e.g. docstrings for exported functions such as CuArrays.zeros
, then please chime in at JuliaGPU/CUDA.jl#5
from cuarrays.jl.
Thanks for linking to some resources @ali-ramadhan! @ajsagit, please use Discourse or Slack for questions, the bug tracker is for filing issues.
from cuarrays.jl.
Thank you so much!
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
- 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
- Package fails to load HOT 4
- Project.toml becoming stale (many notable package downgrades) HOT 1
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from cuarrays.jl.