Releases: JuliaGPU/GPUArrays.jl
Releases · JuliaGPU/GPUArrays.jl
v8.4.0
GPUArrays v8.4.0
Closed issues:
Merged pull requests:
- Implement opnorm (#403) (@danielwe)
- Implement
isequal
(#405) (@danielwe) - Set :ScalarIndexing to the proper value in
@allowscalar
(#406) (@danielwe) - Avoid use of doubles in varm implementation. (#407) (@maleadt)
- Fix flaky tests (#408) (@maleadt)
- Add size check for
isequal
and==
(#410) (@JeffFessler) - Move core functionality to GPUArraysCore. (#411) (@maleadt)
- CompatHelper: add new compat entry for "Reexport" at version "1" (#412) (@github-actions[bot])
- add conjugate option to copytri! (#413) (@Red-Portal)
v8.3.2
v8.3.1
v8.3.0
GPUArrays v8.3.0
Merged pull requests:
v8.2.1
GPUArrays v8.2.1
Merged pull requests:
v8.2.0
GPUArrays v8.2.0
Closed issues:
- Cartesian indexing issue for high dimensional arrays (#340)
- Too much specialization with permutedims: Use dynamic shared memory (#375)
permutedims
with data type UInt32 (#386)
Merged pull requests:
- new permutedims without unrolling permutation orders (#383) (@GiggleLiu)
- Overload
cholesky
method in order to prevent scalar indexing forDiagonal
(#384) (@simsurace) - speed up permutedims with UInt32 (#387) (@GiggleLiu)
- Call parent when unwrapping arrays. (#388) (@maleadt)
v8.1.3
GPUArrays v8.1.3
Closed issues:
- Features we need (#30)
- Multiplying small Matrices (#45)
- LLVM error on A .^ n (#54)
- Julia Base GPU support (#57)
norm
on GPUArrays throws error if for more than 32 elements (#66)dot
does not seem to be implemented forGPUArray
s. (#122)- Support for mathematical operations on complex numbers (#165)
- mapreduce of
view(GPUArrays)
dispatches to CPU (#182) - AMDGPU.jl reverse-ci (#299)
- Compatibility with FillArrays (#381)
Merged pull requests:
v8.1.2
v8.1.1
GPUArrays v8.1.1
Merged pull requests:
v8.1.0
GPUArrays v8.1.0
Merged pull requests:
- Allow tests to be run without Float64 and ComplexF64 types (#373) (@troels)
- Fix copying Diagonal matrices (#374) (@rossviljoen)