Install this version:
emerge -a =dev-python/nvidia-cutlass-dsl-libs-base-4.5.2
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/nvidia-cutlass-dsl-libs-base-4.5.2
Or alternatively:
emerge --autounmask-write -a =dev-python/nvidia-cutlass-dsl-libs-base-4.5.2
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 4.5.2 | 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_{12..14} )
inherit distutils-r1
MY_PN=${PN//-/_}
MY_BASE="https://files.pythonhosted.org/packages"
DESCRIPTION="NVIDIA CUTLASS Python DSL — base shared libs"
HOMEPAGE="
https://github.com/NVIDIA/cutlass
https://pypi.org/project/nvidia-cutlass-dsl-libs-base/
"
SRC_URI="
python_targets_python3_12? ( ${MY_BASE}/97/68/c1247ab848f26c4ab56e562eea0e3f31fc14c9aaf0d883afaa92d8f05592/${MY_PN}-${PV}-cp312-cp312-manylinux_2_28_x86_64.whl )
python_targets_python3_13? ( ${MY_BASE}/0a/6e/bfe256ac08e5a6dfb11444809e54c76c3a2f05fff38dd173e2e71b95e4d2/${MY_PN}-${PV}-cp313-cp313-manylinux_2_28_x86_64.whl )
python_targets_python3_14? ( ${MY_BASE}/3e/bc/5f9dd8c05c3e2f435228224f0b0e76e324c1bf0a6dcd3cfb917b5e94bad7/${MY_PN}-${PV}-cp314-cp314-manylinux_2_28_x86_64.whl )
"
S="${WORKDIR}"
LICENSE="NVIDIA-CUDA"
SLOT="0"
KEYWORDS="-* ~amd64"
# NVIDIA-CUDA is an EULA license; distfiles must not be mirrored,
# binpkgs must not be redistributed.
RESTRICT="bindist mirror"
# Wheel-only on PyPI (binary CUDA-shared bits with no source release).
# Sub-package of the nvidia-cutlass-dsl umbrella; required by the
# parent's base install. # verified 2026-05-25 against 4.5.2.
RDEPEND="
dev-python/cuda-python[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
dev-python/typing-extensions[${PYTHON_USEDEP}]
"
QA_PREBUILT="usr/lib/python3.*/site-packages/cutlass/*"
src_unpack() {
mkdir -p "${S}/wheel" || die
local f
for f in ${A}; do
cp "${DISTDIR}/${f}" "${S}/wheel/" || die
done
}
src_install() {
python_foreach_impl install_wheel
}
install_wheel() {
local pyver=${EPYTHON#python}
local cptag=cp${pyver//./}
local whl="${MY_PN}-${PV}-${cptag}-${cptag}-manylinux_2_28_x86_64.whl"
[[ -f ${S}/wheel/${whl} ]] || die "expected wheel ${whl} not found"
${EPYTHON} -m installer --destdir="${D}" "${S}/wheel/${whl}" || die
# This wheel and the sibling nvidia-cutlass-dsl-libs-cu13 wheel
# overlap on most file paths but ship subtly different *contents*
# at those paths (CUDA-13 builds vs the base build). pip's
# behaviour when both are installed is "cu13 overwrites base";
# Portage's collision-protect would error instead. We mirror
# pip's end state here by keeping only this wheel's *unique*
# files — LICENSE in 4.5.2. (In 4.5.0 the set was three:
# libcuda_dialect_runtime_static.a and utils/block.py were also
# unique to base but moved into the cu13 wheel by 4.5.2, so the
# regex drops them now to avoid collision-protect.) The cu13
# ebuild installs everything else, including its own variants of
# the shared paths.
# # verified 2026-05-25 against 4.5.2 (1 unique file, 179 overlap).
local sp="${D}$(${EPYTHON} -c 'import sysconfig; print(sysconfig.get_path("purelib"))')"
local nvdir="${sp}/nvidia_cutlass_dsl"
local keep_re='^LICENSE$'
local f rel
while IFS= read -r -d '' f; do
rel=${f#${nvdir}/}
if [[ ! ${rel} =~ ${keep_re} ]]; then
rm -f "${f}" || die "rm ${f} failed"
fi
done < <(find "${nvdir}" -type f -print0)
# Drop any now-empty subdirs.
find "${nvdir}" -type d -empty -delete
# .pth is a top-level sibling of the package dir and the cu13
# wheel ships an identical one — let cu13 own it. (The .pth
# enables nvidia_cutlass_dsl/python_packages/ as an extra import
# path, which is what makes `import cutlass` work.)
rm -f "${sp}/nvidia_cutlass_dsl.pth" || die
}