Install this version:
emerge -a =dev-python/nvidia-cudnn-frontend-1.28.0If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/nvidia-cudnn-frontend-1.28.0Or alternatively:
emerge --autounmask-write -a =dev-python/nvidia-cudnn-frontend-1.28.0| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 1.28.0 | 8 | ~amd64 | 0 |
# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_EXT=1
DISTUTILS_USE_PEP517=setuptools
PYTHON_COMPAT=( python3_{12..14} )
inherit distutils-r1
DESCRIPTION="cuDNN Frontend Python bindings (header API + pybind11 layer)"
HOMEPAGE="
https://github.com/NVIDIA/cudnn-frontend
https://pypi.org/project/nvidia-cudnn-frontend/
"
# PyPI is wheel-only; build from the v-prefixed tag, whose archive directory
# omits that prefix.
SRC_URI="
https://github.com/NVIDIA/cudnn-frontend/archive/refs/tags/v${PV}.tar.gz
-> ${P}.gh.tar.gz
"
S="${WORKDIR}/cudnn-frontend-${PV}"
LICENSE="Apache-2.0 MIT"
SLOT="0"
KEYWORDS="~amd64"
# Python CMake fetches its pinned DLPack 1.3, which Gentoo does not package.
# verified 2026-09-02
RESTRICT="network-sandbox"
# Optional framework/compiler extras are outside the dependency-free base API.
RDEPEND="
>=dev-libs/cudnn-9
dev-util/nvidia-cuda-toolkit:=
"
DEPEND="${RDEPEND}"
# Root CMake and the backend require the stated floors; Ninja is optional.
# The upstream pybind11 <3 cap is conservative: 3.0.4 compile-tested here.
# verified 2026-09-02
BDEPEND="
>=dev-build/cmake-3.23
>=dev-python/pybind11-2.13[${PYTHON_USEDEP}]
>=dev-python/setuptools-64[${PYTHON_USEDEP}]
"
>=dev-libs/cudnn-9 dev-util/nvidia-cuda-toolkit:=
>=dev-libs/cudnn-9 dev-util/nvidia-cuda-toolkit:=
>=dev-build/cmake-3.23 >=dev-python/pybind11-2.13[] >=dev-python/setuptools-64[]
| Type | File | Size | Source URLs |
|---|---|---|---|
| DIST | nvidia-cudnn-frontend-1.28.0.gh.tar.gz | 21982353 bytes | https://github.com/NVIDIA/cudnn-frontend/archive/refs/tags/v1.28.0.tar.gz |