Releases: teddykoker/torchsort
Releases · teddykoker/torchsort
v0.1.10
What's Changed
- Add cuda 12.1, PyTorch 2.1 releases by @teddykoker in #79
- Add pyproject.toml for PEP 517 builds and project metadata by @LouisJalouzot in #90
- New releases by @teddykoker in #91
- Ensure cuda compilation in CI build by @teddykoker in #94
New Contributors
- @LouisJalouzot made their first contribution in #90
Full Changelog: v.1.9.0...v0.1.10
v0.1.9
What's Changed
- Fix incorrect results when running on non-default GPU by @teddykoker in #49
Full Changelog: v0.1.8...v0.1.9
v0.1.8
What's Changed
- Update README.md by @teddykoker in #36
- Better error message if CUDA extension is not available by @teddykoker in #43
Full Changelog: v0.1.7...v0.1.8
v0.1.7
Add half-precision (fp16) support.
v0.1.6
Ensure cuda code is added to source release on PyPi.
v0.1.5
Remove -arch="compute_50"
from extra args (affected building when TORCH_CUDA_ARCH_LIST is used).
v0.1.4
Google colab installation fix.
v0.1.3
-
Fixes CUDA memory leak with
torchsort.soft_rank
withregularization="kl"
. -
Adds validation for correct user input for
torchsort.soft_rank
andtorchsort.soft_sort
.
v0.1.2
- Support python 3.7
v0.1.1
Merge pull request #11 from teddykoker/docker-fix docker fix