JuliaGPU/CUDA.jl

Exponential of CuArray

Open

#1,418 opened on 2022年3月1日

GitHub で見る
 (7 comments) (0 reactions) (0 assignees)Julia (274 forks)batch import
cuda arrayenhancementgood first issue

Repository metrics

Stars
 (1,408 stars)
PR merge metrics
 (平均マージ 5d 5h) (30d で 16 merged PRs)

説明

Calculating the exponential of a GPU matrix yields errors:

using CUDA
A = cu([1.0, 1;0 1])
CUDA.exp(A)

results in an error: ERROR: ArgumentError: cannot take the CPU address of a CuArray{Float32, 2, CUDA. Mem.DeviceBuffer}

Trying to do this via ExponentialUtils also throws errors. It seems that the function called does not work properly for GPU arrays, either because indexing is done explicitly somewhere, or because some precompiled library is called that can only handle CPU arrays. This seems like a basic functionality, so I'm not sure if I'm requesting a new feature, if this is a bug, or if I'm just doing something wrong.

コントリビューターガイド