dev-python/nvidia-cudnn-frontend - 1.32.1 (stuff)

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Install

Install this version:

emerge -a =dev-python/nvidia-cudnn-frontend-1.32.1

If this version is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask =dev-python/nvidia-cudnn-frontend-1.32.1

Or alternatively:

emerge --autounmask-write -a =dev-python/nvidia-cudnn-frontend-1.32.1

Package Information

Description:
cuDNN Frontend Python bindings (header API + nanobind layer)
Homepage:
https://github.com/NVIDIA/cudnn-frontend https://pypi.org/project/nvidia-cudnn-frontend/
License:
Apache-2.0 MIT

Ebuild Details

Version EAPI Keywords Slot
1.32.1 8 ~amd64 0
View Raw Ebuild
# 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 + nanobind 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"

# 1.29.0 moves the CuTe DSL stack into the base requirements. The kernels
# still import it lazily, but upstream now declares it required. The other
# extras (cuda-python, cuda-tile, triton, torch, jax, and the new comm group
# carrying nvshmem4py) stay optional. verified 2026-09-23
DEPEND="
	>=dev-libs/cudnn-9
	dev-util/nvidia-cuda-toolkit:=
"
RDEPEND="${DEPEND}
	>=dev-python/apache-tvm-ffi-0.1.11[${PYTHON_USEDEP}]
	>=dev-python/nvidia-cutlass-dsl-4.8.0[${PYTHON_USEDEP}]
"
# Root CMake and the backend require the stated floors; Ninja is optional.
# 1.32.0 moves the bindings from pybind11 to nanobind; setup.py points CMake
# at the installed nanobind on Linux instead of fetching it.
BDEPEND="
	>=dev-build/cmake-3.26
	>=dev-python/nanobind-3.0.1[${PYTHON_USEDEP}]
	<dev-python/nanobind-4[${PYTHON_USEDEP}]
	>=dev-python/setuptools-64[${PYTHON_USEDEP}]
"

src_prepare() {
	# nanobind includes Python.h after libstdc++ headers, so pyconfig.h
	# redefines _POSIX_C_SOURCE and _XOPEN_SOURCE, which upstream's -Werror
	# turns fatal. verified 2026-10-28
	sed -i -e 's/ -Werror / /' CMakeLists.txt || die

	distutils-r1_src_prepare
}

Inherited Eclasses

Dependencies

DEPEND

	>=dev-libs/cudnn-9
	dev-util/nvidia-cuda-toolkit:=

RDEPEND

	>=dev-libs/cudnn-9
	dev-util/nvidia-cuda-toolkit:=

	>=dev-python/apache-tvm-ffi-0.1.11[]
	>=dev-python/nvidia-cutlass-dsl-4.8.0[]

BDEPEND

	>=dev-build/cmake-3.26
	>=dev-python/nanobind-3.0.1[]
	<dev-python/nanobind-4[]
	>=dev-python/setuptools-64[]

Manifest for 1.32.1

Type File Size Source URLs
DIST nvidia-cudnn-frontend-1.32.1.gh.tar.gz 35432151 bytes https://github.com/NVIDIA/cudnn-frontend/archive/refs/tags/v1.32.1.tar.gz