Install this version:
emerge -a =dev-python/nvidia-cutlass-dsl-4.5.0
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/nvidia-cutlass-dsl-4.5.0
Or alternatively:
emerge --autounmask-write -a =dev-python/nvidia-cutlass-dsl-4.5.0
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 4.5.0 | 8 | ~amd64 | 0 |
# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_USE_PEP517=no
PYTHON_COMPAT=( python3_{11..14} )
inherit distutils-r1
MY_WHEEL="${PN//-/_}-${PV}-py3-none-any.whl"
DESCRIPTION="NVIDIA CUTLASS Python DSL — metapackage for libs-base + libs-cu13"
HOMEPAGE="
https://github.com/NVIDIA/cutlass
https://docs.nvidia.com/cutlass/media/docs/python/
https://pypi.org/project/nvidia-cutlass-dsl/
"
SRC_URI="
https://files.pythonhosted.org/packages/71/a3/46fdf77d373b06bc65a0eda6c921c746985fb3e496c90a09be476291ea80/${MY_WHEEL}
"
S="${WORKDIR}"
LICENSE="NVIDIA-CUDA"
SLOT="0"
KEYWORDS="~amd64"
RESTRICT="bindist mirror"
# Trivial metapackage — empty py3-none-any wheel whose entire purpose
# is to pull libs-base and (under the cu13 extra) libs-cu13. No source
# release on PyPI; the GitHub monorepo cuda-python doesn't carry this
# subdir either since cutlass-dsl lives at NVIDIA/cutlass with its own
# release cadence and PyPI-only metawheel. Packaging the wheel
# directly is byte-equivalent to a hypothetical empty source.
#
# This overlay always pulls the cu13 path: amd64 + CUDA 13.2 at
# /opt/cuda. cu12 would need its own libs-cu12 sibling which we
# haven't packaged. Add a USE flag if a cu12 user emerges.
RDEPEND="
~dev-python/nvidia-cutlass-dsl-libs-base-${PV}[${PYTHON_USEDEP}]
~dev-python/nvidia-cutlass-dsl-libs-cu13-${PV}[${PYTHON_USEDEP}]
"
src_unpack() {
mkdir -p "${S}/wheel" || die
cp "${DISTDIR}/${MY_WHEEL}" "${S}/wheel/" || die
}
src_install() {
python_foreach_impl install_wheel
}
install_wheel() {
${EPYTHON} -m installer --destdir="${D}" "${S}/wheel/${MY_WHEEL}" || die
}
~dev-python/nvidia-cutlass-dsl-libs-base-4.5.0[] ~dev-python/nvidia-cutlass-dsl-libs-cu13-4.5.0[]