Install this version:
emerge -a =dev-python/nvidia-cutlass-dsl-4.7.0
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/nvidia-cutlass-dsl-4.7.0
Or alternatively:
emerge --autounmask-write -a =dev-python/nvidia-cutlass-dsl-4.7.0
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 4.7.0 | 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_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/
https://pypi.org/project/nvidia-cutlass-dsl/
"
SRC_URI="
https://files.pythonhosted.org/packages/a3/a7/597b08f293989c3774621f668918bfb6c6c308510cad000abd8ee674f2d4/${MY_WHEEL}
"
S="${WORKDIR}"
LICENSE="NVIDIA-CUTLASS"
SLOT="0"
KEYWORDS="~amd64"
RESTRICT="bindist mirror"
# This wheel ships nvidia_cutlass_dsl_packages.pth plus metadata. Upstream
# defaults to libs-base + libs-cu12 and exposes libs-cu13 as an extra; replace
# the unavailable cu12 backend with cu13 because this overlay packages CUDA 13.
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
}
python_install() {
${EPYTHON} -m installer --destdir="${D}" "${S}/wheel/${MY_WHEEL}" || die
}
~dev-python/nvidia-cutlass-dsl-libs-base-4.7.0[] ~dev-python/nvidia-cutlass-dsl-libs-cu13-4.7.0[]