Install this version:
emerge -a =dev-python/pycuda-2025.1.3-r1
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/pycuda-2025.1.3-r1
Or alternatively:
emerge --autounmask-write -a =dev-python/pycuda-2025.1.3-r1
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 2025.1.3-r1 | 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 cuda distutils-r1 edo pypi
DESCRIPTION="Python wrapper for NVIDIA CUDA"
HOMEPAGE="https://mathema.tician.de/software/pycuda/ https://pypi.org/project/pycuda/ https://github.com/inducer/pycuda"
LICENSE="Apache-2.0 MIT"
SLOT="0"
KEYWORDS="~amd64"
IUSE="examples test"
RDEPEND="
dev-libs/boost:=[python,${PYTHON_USEDEP}]
dev-python/decorator[${PYTHON_USEDEP}]
dev-python/mako[${PYTHON_USEDEP}]
>=dev-python/numpy-1.24[${PYTHON_USEDEP}]
>=dev-python/platformdirs-2.2.0[${PYTHON_USEDEP}]
>=dev-python/pytools-2011.2[${PYTHON_USEDEP}]
dev-util/nvidia-cuda-toolkit[profiler]
x11-drivers/nvidia-drivers
"
DEPEND="${RDEPEND}"
# We need write acccess /dev/nvidia0 and /dev/nvidiactl and the portage
# user is (usually) not in the video group
RESTRICT="test? ( userpriv ) !test? ( test )"
EPYTEST_PLUGINS=()
EPYTEST_XDIST=1
distutils_enable_tests pytest
src_prepare() {
cuda_sanitize
sed "s|\"--preprocess\"|&,\"--compiler-bindir=$(cuda_gccdir)\"|" \
-i pycuda/compiler.py || die
> siteconf.py || die
distutils-r1_src_prepare
}
python_configure() {
mkdir -p "${BUILD_DIR}" || die
cd "${BUILD_DIR}" || die
local conf=(
--boost-inc-dir="${ESYSROOT}"/usr/include
--boost-lib-dir="${ESYSROOT}"/usr/$(get_libdir)
--boost-python-libname=boost_${EPYTHON/./}.so
--boost-thread-libname=boost_thread
--cuda-inc-dir="${ESYSROOT}"/opt/cuda/include
--cuda-root="${ESYSROOT}"/opt/cuda
--cudadrv-lib-dir="${ESYSROOT}"/usr/$(get_libdir)
--cudart-lib-dir="${ESYSROOT}"/opt/cuda/$(get_libdir)
)
edo "${EPYTHON}" "${S}"/configure.py "${conf[@]}"
}
python_test() {
# We need write access to these to run the tests
addwrite /dev/nvidia0
addwrite /dev/nvidiactl
addwrite /dev/nvidia-uvm
addwrite /dev/nvidia-uvm-tools
if [[ ! -w /dev/nvidiactl ]]; then
eerror "Could not write to /dev/nvidiactl. To run these tests, a NVIDIA GPU is required"
eerror "and must be accessible by the package manager."
eerror
eerror "Further, the 'portage' user usually needs to be in the video group:"
eerror " 1) set ACCT_USER_PORTAGE_GROUPS_ADD='video' in make.conf and re-emerge"
eerror " acct-user/portage, or"
eerror
eerror " 2) please run 'gpasswd -a portage video'."
die "/dev/nvidiactl inaccessible; check permissions?"
fi
EPYTEST_DESELECT=(
# needs investigation, perhaps failure is hardware-specific
test/test_driver.py::test_pass_cai_array
test/test_driver.py::test_pointer_holder_base
)
rm -rf pycuda || die
epytest test
}
python_install_all() {
distutils-r1_python_install_all
if use examples; then
dodoc -r examples
docompress -x /usr/share/doc/${PF}/examples
fi
}
Manage flags for this package:
euse -i <flag> -p dev-python/pycuda |
euse -E <flag> -p dev-python/pycuda |
euse -D <flag> -p dev-python/pycuda
dev-libs/boost:=[python,] dev-python/decorator[] dev-python/mako[] >=dev-python/numpy-1.24[] >=dev-python/platformdirs-2.2.0[] >=dev-python/pytools-2011.2[] dev-util/nvidia-cuda-toolkit[profiler] x11-drivers/nvidia-drivers
dev-libs/boost:=[python,] dev-python/decorator[] dev-python/mako[] >=dev-python/numpy-1.24[] >=dev-python/platformdirs-2.2.0[] >=dev-python/pytools-2011.2[] dev-util/nvidia-cuda-toolkit[profiler] x11-drivers/nvidia-drivers