Install this version:
emerge -a =dev-python/cupy-14.1.0
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/cupy-14.1.0
Or alternatively:
emerge --autounmask-write -a =dev-python/cupy-14.1.0
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 14.1.0 | 8 | ~amd64 | 0 |
# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
PYTHON_COMPAT=( python3_{12..14} )
DISTUTILS_EXT=1
DISTUTILS_USE_PEP517=setuptools
inherit distutils-r1 prefix pypi cuda
DESCRIPTION="CuPy: A NumPy-compatible array library accelerated by CUDA"
HOMEPAGE="https://cupy.dev/"
SRC_URI="$(pypi_sdist_url "${PN^}" "${PV}")"
LICENSE="MIT"
SLOT="0"
KEYWORDS="~amd64"
IUSE="+cuda"
# Upstream 14.x split cuDNN, cuSPARSELt, and cuTENSOR integration out
# of the main package into separate cupy-cudnn / cupy-cusparselt /
# cupy-cutensor PyPI distributions, so the previous cudnn / cusparselt
# USE flags here were no-ops (deps got pulled but no extension module
# was built). Drop them rather than mislead.
#
# Upstream 14.x also dropped fastrlock (no longer imported anywhere),
# bumped numpy to >=2.0, and conditionally appends
# cuda-pathfinder>=1.3.3,==1.* for non-HIP builds in setup.py.
DEPEND="
>=dev-python/cython-3.1.0[${PYTHON_USEDEP}]
>=dev-python/numpy-2.0[${PYTHON_USEDEP}]
cuda? (
dev-util/nvidia-cuda-toolkit[profiler]
>=dev-python/cuda-pathfinder-1.3.3[${PYTHON_USEDEP}]
<dev-python/cuda-pathfinder-2[${PYTHON_USEDEP}]
)
"
RDEPEND="${DEPEND}"
EPYTEST_PLUGINS=()
distutils_enable_tests pytest
src_prepare() {
default
eprefixify cupy/cuda/compiler.py
use cuda && cuda_src_prepare
}
src_compile() {
if use cuda; then
local targets=() a
if [[ -n ${NVPTX_TARGETS} ]]; then
targets=( ${NVPTX_TARGETS} )
elif [[ -n ${CUDAARCHS} ]]; then
for a in ${CUDAARCHS//[;,]/ }; do
targets+=( "sm_${a}" )
done
fi
if [[ ${#targets[@]} -gt 0 ]]; then
local supported=() codegen=()
local s target ok
while IFS= read -r s; do
supported+=( "${s}" )
done < <(nvcc --list-gpu-code) || die
for target in "${targets[@]}"; do
ok=
for s in "${supported[@]}"; do
[[ ${s} == "${target}" ]] && ok=1 && break
done
if [[ -n ${ok} ]]; then
codegen+=( "arch=${target/sm_/compute_},code=${target}" )
else
ewarn "Skipping unsupported CUDA target ${target} for toolkit $(cuda_toolkit_version)"
fi
done
[[ ${#codegen[@]} -gt 0 ]] \
|| die "No supported CUDA targets (from NVPTX_TARGETS/CUDAARCHS)"
local IFS=';'
export CUPY_NVCC_GENERATE_CODE="${codegen[*]}"
fi
export NVCC="nvcc ${NVCCFLAGS}"
fi
distutils-r1_src_compile
}
Manage flags for this package:
euse -i <flag> -p dev-python/cupy |
euse -E <flag> -p dev-python/cupy |
euse -D <flag> -p dev-python/cupy
>=dev-python/cython-3.1.0[] >=dev-python/numpy-2.0[] cuda? ( dev-util/nvidia-cuda-toolkit[profiler] >=dev-python/cuda-pathfinder-1.3.3[] <dev-python/cuda-pathfinder-2[] )
>=dev-python/cython-3.1.0[] >=dev-python/numpy-2.0[] cuda? ( dev-util/nvidia-cuda-toolkit[profiler] >=dev-python/cuda-pathfinder-1.3.3[] <dev-python/cuda-pathfinder-2[] )