Install this version:
emerge -a =dev-python/nvidia-cutlass-dsl-libs-cu13-4.6.0
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/nvidia-cutlass-dsl-libs-cu13-4.6.0
Or alternatively:
emerge --autounmask-write -a =dev-python/nvidia-cutlass-dsl-libs-cu13-4.6.0
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 4.6.0 | 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_{12..14} )
inherit distutils-r1
MY_PN=${PN//-/_}
MY_BASE="https://files.pythonhosted.org/packages"
DESCRIPTION="NVIDIA CUTLASS Python DSL — CUDA-13-specific shared libs"
HOMEPAGE="
https://github.com/NVIDIA/cutlass
https://pypi.org/project/nvidia-cutlass-dsl-libs-cu13/
"
SRC_URI="
python_targets_python3_12? ( ${MY_BASE}/b1/0f/bd8b25e6307764a7bfefa519241d6e417f3ba1c75ce548aa76b712a4fd15/${MY_PN}-${PV}-cp312-cp312-manylinux_2_28_x86_64.whl )
python_targets_python3_13? ( ${MY_BASE}/59/1d/e39c5b41e5ca59d5a0809fdfb9ac548430ed957a5e806ad85a77d132c15a/${MY_PN}-${PV}-cp313-cp313-manylinux_2_28_x86_64.whl )
python_targets_python3_14? ( ${MY_BASE}/1e/0e/97edc0011dd226a6ac1359b45469493dcc7c1e6a7627952869f2368da013/${MY_PN}-${PV}-cp314-cp314-manylinux_2_28_x86_64.whl )
"
S="${WORKDIR}"
LICENSE="NVIDIA-CUDA"
SLOT="0"
KEYWORDS="-* ~amd64"
RESTRICT="bindist mirror"
# Wheel-only on PyPI — CUDA-13-specific binary kernels of NVIDIA's
# CUTLASS Python DSL. Selected by the parent nvidia-cutlass-dsl when
# the cu13 extra is enabled (the right pick with CUDA 13.3 at
# /opt/cuda). protobuf<7 (iket profiler only) is omitted as in the base
# split; nvidia-cuda-nvdisasm is provided by the CUDA toolkit.
# # verified 2026-07-04 against 4.6.0.
RDEPEND="
~dev-python/nvidia-cutlass-dsl-libs-base-${PV}[${PYTHON_USEDEP}]
dev-python/cuda-python[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
dev-python/typing-extensions[${PYTHON_USEDEP}]
>=dev-util/nvidia-cuda-toolkit-13.3
"
QA_PREBUILT="usr/lib/python3.*/site-packages/nvidia_cutlass_dsl/*"
src_unpack() {
mkdir -p "${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
}
~dev-python/nvidia-cutlass-dsl-libs-base-4.6.0[] dev-python/cuda-python[] dev-python/numpy[] dev-python/typing-extensions[] >=dev-util/nvidia-cuda-toolkit-13.3