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This release is a pre-release and may not be stable for production use.

kernelforge-cuda

Linux companion wheel that installs KernelForge CUDA extension modules (cuda_*.so) into site-packages/kernelforge/.

Built on GitHub Actions (build-wheels-cuda in the release workflow) using manylinux_cuda images. Release wheels currently target CPython 3.14 only. Not necessarily on PyPI yet — claim the project and Trusted Publisher before the first upload. Until then, build locally:

# From the monorepo root:
make demo-cuda-wheels
# or install wheels from dist/ manually:
#   pip install dist/kernelforge-*.whl
#   pip install --find-links dist kernelforge-cuda

Once published, the intended install is:

pip install kernelforge
pip install kernelforge-cuda   # or: pip install 'kernelforge[cuda]'

kernelforge[cuda] installs both torch and this companion on Linux. Install the CPU kernelforge package first (or via that extra). A default-index torch install may be CPU-only; use a CUDA build of PyTorch for GPU runs.

Requires an NVIDIA driver compatible with the installed torch CUDA build. Local monorepo developers can keep using make install-linux-mkl-ilp64-cuda instead of this split package.

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kernelforge_cuda-0.3.1.dev51-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (16.7 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

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SHA256 99ed36666d1d4ec510249b6cf52317c03de85283cadaf0369721861fedb9dea6
MD5 f7cc93d5abed83fb51300176fd7671ed
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Publisher: release.yml on andersx/kernelforge

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1.0.0

4 files

This release

0.3.1.dev51 This release

1 file

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