GPUArrays.jl

GPUArrays.jl copied to clipboard

Kronecker product between `Diagonal` and `AbstractGPUArray`

8

The Kronecker product between `Diagonal` and `CUDA.CUSPARSE.AbstractCuSparseMatrix` works: ```julia using LinearAlgebra using CUDA CUDA.allowscalar(false) Ms = cu(sprand(ComplexF64, 4, 4, 0.5)) Id = I(2) kron(Id, Ms) ``` Is it possible to...

ytdHuang

Regression mapping over over GPU array and unit range

2

On GPUArrays `v10.3.1`, `map((x,y)->x+y, CUDA.zeros(2), 1:2)` used to work without causing a scalar indexing issue. However, with the change in `v11.1.0`, it now throws the following error: ``` julia> map((x,y)->x+y,...

sshin23

Ported from CUDA.jl. Depends on `cumsum`, which needs to be ported separately.

maleadt

Add support for rand(rng, n)

1

Currently we have the following error (show for CUDA but the same happens with Metal). ```julia julia> using GPUArrays, CUDA julia> rng = GPUArrays.default_rng(CuArray); julia> rand(rng, 5) ERROR: MethodError: no...

CarloLucibello