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Added dev-util/nvidia-cuda-toolkit-13.0.0

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saundersp
2025-08-16 21:04:31 +02:00
parent 7c5f040669
commit 8568216224
7 changed files with 704 additions and 0 deletions
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7
dev-util/nvidia-cuda-toolkit/Manifest Normal file
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AUX cuda-config.in 407 BLAKE2B 5f7a0d50d774db58c180b767f00bead7c7dbf5f6b3b4a2f960dfc3b8450f7abf5c2b67c6620c5318f1331646dd2003d61c70a4c31359efd16ff418ecc9d0b446 SHA512 363903b999c43a47a48c52e8898c6044fadcc66d259338ee22863e859c2bc9873a2f1392aa83c9182486d3aa4eaeb5f164cf8ccf29cc74fd8ad56245f76a039a
AUX nvidia-cuda-toolkit-glibc-2.42.patch 1133 BLAKE2B 861f343e2f0921d5bfa17276de8cea2ab99e95e5e129e34f053a0feb29437adc2004bd8d25010ccf6c25e475b1549101c1970c0b5174559ab3676995b123282e SHA512 9a39a47d862f55f1e891227ce4d5b0e639f22f57cf3ab5ffee48e02de46a98f7e9c625556bf62eaba82c11d12ccf6b30d1eb91c085c2a0168681f712d4d50e87
AUX parse_manifest.py 8488 BLAKE2B 8ac93a39276eaf89b41a5b0baa168b5974423077b0fd4b22841451514513c914fb4188863d73591f89975cc833dcb88bde289b0676f218715d8735a2d5c0f159 SHA512 4b2d9de215858d25319254666a22a184e26510a3488fc97a939704fab1e81a9baa363fc1168129618ce076de84d7acbeb71d98b8be272017f47b54c237d9b9a4
DIST cuda_13.0.0_580.65.06_linux.run 4300799649 BLAKE2B 7eaed96412d7bd937304780882cd4e3fd7feeccd0ee32c7a780bfc76155cbb1f2aea9e2b114202cb797e93467c6f34f98120c4cd02a6f7722c418b62e8b62a67 SHA512 1d09fd6f966e009c5ec461f72839bc70305cda99850ed58c446e4abffb25d9b88e50c0f03a23af13e90245be4b633592a50404cc7dd92cca42e21b8f8d790984
DIST cuda_13.0.0_580.65.06_linux_sbsa.run 3983090672 BLAKE2B 8c1d3904c8a7fc40bceedf77a6602a7cfb114c8ad0ea2954d34d9d6d21af80be956a58d41387c24666f66f6f5cafe7305a981b3a5d25fe77cc91a639caa8cc08 SHA512 58acff4db5c62a640517b24006ced20da6bc4ea2c9c15eb0bf6f054bc7599b109ade45ee11bd9bf413f20a283631b669cabaa5cd8e98891f766c922a9eb9a182
EBUILD nvidia-cuda-toolkit-13.0.0.ebuild 10904 BLAKE2B 48c710566b045ecb587166524ad142f92f8fd2e0c545ef32a6fadd0c8cc639657f30682ad2576e473e2e23ccedab2dd599ce7829c3509c76e540eec102419835 SHA512 4500d13494536c47fbdab5f9528cd60d38fa177c38e386c02a1c5fbdd3cdb7004be766568e4445b5b53a4c5f27dc8213341c53e002769f273d4b48c8d156aaf3
MISC metadata.xml 843 BLAKE2B 5ed06252572415290175ff90b66c1e13b67d282085295586e046019cc7d28b6e11728fba310bcf4101caaf09f4d1383f8df3f1c97325fa9e979dfa06e4704571 SHA512 208c83e0d968796d526b7223c5221f0805401b31420807a21f078797cba8e3f141c654017331a89649af2aa29a40cc1ff28f9cfa3ba2e6bee85fa76957c01837

28
dev-util/nvidia-cuda-toolkit/files/cuda-config.in Normal file
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#!/bin/bash
SUPPORT_GCC_VERSIONS_BY_CUDA="CUDA_SUPPORTED_GCC"
_print_help() {
cat <<- EOF
Usage:
$(basename $0) [options]
-s | --supported Returns by current CUDA supported gcc versions
-h | --help Shows this help
EOF
}
case ${1} in
-s|--supported)
echo "${SUPPORT_GCC_VERSIONS_BY_CUDA}"
exit 0
;;
-h|--help)
_print_help
exit 255
;;
*)
_print_help
exit 1
;;
esac

27
dev-util/nvidia-cuda-toolkit/files/nvidia-cuda-toolkit-glibc-2.42.patch Normal file
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diff '--color=auto' -ur a/builds/cuda_crt/targets/x86_64-linux/include/crt/math_functions.h b/builds/cuda_crt/targets/x86_64-linux/include/crt/math_functions.h
--- a/builds/cuda_crt/targets/x86_64-linux/include/crt/math_functions.h
+++ b/builds/cuda_crt/targets/x86_64-linux/include/crt/math_functions.h
@@ -626,7 +626,11 @@
*
* \note_accuracy_double
*/
+#if defined(__GLIBC__) && (__GLIBC__ > 2) || (__GLIBC__ == 2 && __GLIBC_MINOR__ >= 42)
+extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ double rsqrt(double x) noexcept (true);
+#else
extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ double rsqrt(double x);
+#endif
/**
* \ingroup CUDA_MATH_SINGLE
@@ -650,7 +654,11 @@
*
* \note_accuracy_single
*/
+#if defined(__GLIBC__) && (__GLIBC__ > 2) || (__GLIBC__ == 2 && __GLIBC_MINOR__ >= 42)
+extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ float rsqrtf(float x) noexcept (true);
+#else
extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ float rsqrtf(float x);
+#endif
#if defined(__QNX__) && !defined(_LIBCPP_VERSION)
namespace std {

223
dev-util/nvidia-cuda-toolkit/files/parse_manifest.py Normal file
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#!/usr/bin/env python
# Copyright 2024-2025 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
#
#
# Takes the manifests/*.xml file from the NVIDIA CUDA Toolkit as input.
# Those files contain a nested tree of package items.
#
# For each package node a if block is output that checks the package's
# name attribute against the environment provided array SKIP_COMPONENTS
# and skips that whole package if it's listed in it.
#
# Each item contains four nodes that reference things to install,
# `dir`, `file`, `desktopFile`, & `pcfile`, and metadata that further
# detail these. This script will output calls to do* calls that
# use the metadata.
# - dodir would create an empty file - we handle this in dofile
# - dofile copies a regex file glob
# - dodesktopFile creates a .desktop file
# - dopcfile creates a pkgconfig file
#
# The resulting bash code can be run inside src_install().
#
# Usage: python parse_manifest.py <cuda_aarch64.xml|cuda_x86_64.xml>
import argparse
import xml.etree.ElementTree
import defusedxml.ElementTree
from pathlib import Path
ind = "\t"
indent = 1
def main():
parser = argparse.ArgumentParser()
parser.add_argument('filename') # positional argument
args = parser.parse_args()
basedir = Path(args.filename).parents[1]
et = defusedxml.ElementTree.parse(args.filename)
# Find all packages under the package with the id main (i.e. under "CUDA Installer")
for e in et.findall("[@id='main']/package"):
def p_package(el: xml.etree.ElementTree.Element, level: int = 0):
skip = {
"Documentation", # obsolete
"Driver", # unused
# "Kernel Objects", # split
# "Demo Suite",
# "Visual Tools",
# old eclipse
# "nsight",
# old java
# "nvvp",
# "cuda-gdb-src"
}
name = el.get("name")
# trim leading CUDA and trailing version
if name.startswith("CUDA"):
name2 = ' '.join(name.split(" ")[1:-1])
else:
name2 = name
if name2 in skip:
return
# avoid having to deal with whitespaces in bash
name2 = name2.replace(" ", "_")
path = ""
print(f"{ind * (level + 0) * indent}if ! has {name2} \"${{SKIP_COMPONENTS[@]}}\"; then # \"{name}\"")
# output attributes from unhandled tags
for child in el:
if child.tag == "package":
continue
if child.tag == "file":
continue
if child.tag == "desktopFile":
continue
if child.tag == "pcfile":
continue
for attrib in child.attrib:
print(f"{child.tag} {attrib}={child.attrib[attrib]}")
# <name>CUDA Installer</name>
# only for CUDA Installer
# unused
for node in el.findall("./name"):
print(f"{ind * (level + 1) * indent}# {node.tag}: \"{node.text}\"")
# <type>compiler</type>
# category. We use the package name instead.
# unused
# for node in el.findall("./type"):
# print(f"{ind * (level + 1) * indent}# {node.tag}: \"{node.text}\"")
# <priority>1</priority>
# probably sorting for the tui installer
# unused
# for node in el.findall("./priority"):
# print(f"{ind * (level + 1) * indent}# {node.tag}: \"{node.text}\"")
# <single-selection/>
# proably for tui installer
# unused
# for node in el.findall("./single-selection"):
# print(f"{ind * (level + 1) * indent}# {node.tag}: \"{node.text}\"")
# <koversion>2.24.2</koversion>
# version of the installed kernel object (Kernel Objects only)
# unused
for node in el.findall("./koversion"):
print(f"{ind * (level + 1) * indent}# {node.tag}: \"{node.text}\"")
# <installPath>/usr/local/cuda-12.8</installPath>
# overrides the install location
# unused
# for node in el.findall("./installPath"):
# print(f"{ind * (level + 1) * indent}# {node.tag}: \"{node.text}\"")
# <buildPath>./builds/cuda_cccl/</buildPath>
# path where the package files are found
# we cd into it
for node in el.findall("./buildPath"):
path = node.text.removeprefix('./')
print(f"{ind * (level + 1) * indent}cd \"${{S}}/{path}\" || die \"cd ${{S}}/{path} failed\"")
print()
# <dir>bin</dir>
# would install empty dirs
# unused
# for node in el.findall("./dir"):
# pass
# <file dir="bin/">.*</file>
# <file>targets/x86_64-linux/lib/.*\.so</file>
# regex glob of files to install.
for node in el.findall("./file"):
# unescape '.*' -> '*' & '\.' -> '.'
file = (node.text
.replace(".*", "*")
.replace(r"\.", ".")
.replace("x86_64", "${narch}")
.replace("sbsa", "${narch}")
)
# optional dir offset, we merge it into path
dir = ""
if "dir" in node.attrib:
dir = f" \"{Path(node.attrib['dir'])}\""
filepath = basedir / path / file
# ignore existing symlinks ( include, lib* ) and the uninstallers
if not filepath.is_symlink() and not file.endswith("-uninstaller"):
print(f"{ind * (level + 1) * indent}dofile \"{file}\"{dir}")
# <pcfile description="CUDA Runtime Library">opencl-12.8.pc</pcfile>
# create a pkgconfig file for the given description and lib name/version
for node in el.findall("./pcfile"):
offset = node.text.rfind('-')
if offset == -1:
raise RuntimeError(f"failed to split pcfile {node.text}")
lib_name = node.text[:offset]
if not node.text.endswith('.pc'):
raise RuntimeError(f"pcfile does not end in '.pc' {node.text}")
lib_version = node.text[offset+1:-3]
if "description" not in node.attrib:
raise RuntimeError(f"no description for {node.text}")
subdir = ""
if "subdir" in node.attrib:
subdir = f" \"{node.attrib['subdir']}\""
print(f"{ind * (level + 1) * indent}dopcfile "
f"\"{lib_name}\" "
f"\"{lib_version}\" "
f"\"{node.attrib['description']}\"{subdir}")
# <desktopFile
# filename="nsight"
# name="Nsight Eclipse Edition"
# categories="Development;IDE;Debugger;ParallelComputing"
# keywords="cuda;gpu;nvidia;debugger;"
# iconPath="libnsight/icon.xpm"
# execPath="bin/nsight"
# tryExecPath="bin/nsight"
# />
# create a .desktop file
for node in el.findall("./desktopFile"):
print(f"{ind * (level + 1) * indent}dodesktopFile \\")
print(f"{ind * (level + 2) * indent}\"{node.attrib['filename']}\" \\")
print(f"{ind * (level + 2) * indent}\"{node.attrib['name']}\" \\")
print(f"{ind * (level + 2) * indent}\"{node.attrib['categories']}\" \\")
print(f"{ind * (level + 2) * indent}\"{node.attrib['keywords']}\" \\")
print(f"{ind * (level + 2) * indent}\"{node.attrib['iconPath']}\" \\")
print(f"{ind * (level + 2) * indent}\"{node.attrib['execPath']}\" \\")
print(f"{ind * (level + 2) * indent}\"{node.attrib['tryExecPath']}\"")
# iterator over all nested packages
for node in el.findall("./package"):
p_package(node, level + 1)
print(f"{ind * (level + 0) * indent}fi")
p_package(e)
if __name__ == "__main__":
main()

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dev-util/nvidia-cuda-toolkit/metadata.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "https://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="project">
<email>sci@gentoo.org</email>
<name>Gentoo Science Project</name>
</maintainer>
<use>
<flag name="clang">Depend on <pkg>llvm-core/clang</pkg> as host compiler</flag>
<flag name="debugger">Install the CUDA debugger</flag>
<flag name="nsight">Install profiling and optimizing tools (nsight-compute, nsight-systems)</flag>
<flag name="profiler">Install the NVIDIA CUDA profiler (nvprof) and the related libraries</flag>
<flag name="rdma">Enable infiniband support via <pkg>sys-cluster/rdma-core</pkg></flag>
<flag name="sanitizer">Install compute-sanitizer tool</flag>
<flag name="vis-profiler">Install the NVIDIA CUDA visual profiler (nvvp)</flag>
</use>
</pkgmetadata>

386
dev-util/nvidia-cuda-toolkit/nvidia-cuda-toolkit-13.0.0.ebuild Normal file
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@@ -0,0 +1,386 @@
# Copyright 1999-2025 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
# shellcheck disable=SC2317
EAPI=8
PYTHON_COMPAT=( python3_{11..13} )
inherit check-reqs edo toolchain-funcs
inherit python-r1
DRIVER_PV="580.65.06"
GCC_MAX_VER="15"
CLANG_MAX_VER="20"
DESCRIPTION="NVIDIA CUDA Toolkit (compiler and friends)"
HOMEPAGE="https://developer.nvidia.com/cuda-zone"
SRC_URI="
amd64? (
https://developer.download.nvidia.com/compute/cuda/${PV}/local_installers/cuda_${PV}_${DRIVER_PV}_linux.run
)
arm64? (
https://developer.download.nvidia.com/compute/cuda/${PV}/local_installers/cuda_${PV}_${DRIVER_PV}_linux_sbsa.run
)
"
S="${WORKDIR}"
LICENSE="NVIDIA-CUDA"
SLOT="0/${PV}" # UNSLOTTED
# SLOT="${PV}" # SLOTTED
KEYWORDS="-* ~amd64 ~arm64 ~amd64-linux ~arm64-linux"
IUSE="clang debugger examples nsight profiler rdma sanitizer"
RESTRICT="bindist mirror strip test"
REQUIRED_USE="${PYTHON_REQUIRED_USE}"
# since CUDA 11, the bundled toolkit driver (== ${DRIVER_PV}) and the
# actual required minimum driver version are different.
RDEPEND="
!clang? (
<sys-devel/gcc-$(( GCC_MAX_VER + 1 ))_pre[cxx]
)
clang? (
<llvm-core/clang-$(( CLANG_MAX_VER + 1 ))_pre
)
sys-process/numactl
debugger? (
${PYTHON_DEPS}
)
examples? (
media-libs/freeglut
media-libs/glu
)
nsight? (
dev-util/nsight-compute
dev-util/nsight-systems
)
rdma? (
sys-cluster/rdma-core
)
"
BDEPEND="
$(python_gen_any_dep '
dev-python/defusedxml[${PYTHON_USEDEP}]
')
"
# CUDA_PATH="/opt/cuda-${PV}" #950207
CUDA_PATH="/opt/cuda"
QA_PREBUILT="${CUDA_PATH#/}/*"
python_check_deps() {
python_has_version "dev-python/defusedxml[${PYTHON_USEDEP}]"
}
cuda-toolkit_check_reqs() {
if use amd64; then
export CHECKREQS_DISK_BUILD="7228M"
elif use arm64; then
export CHECKREQS_DISK_BUILD="6998M"
fi
"check-reqs_pkg_${EBUILD_PHASE}"
}
cuda_verify() {
# only works with unpacked sources
[[ "${EBUILD_PHASE}" != prepare ]] && return
# run self checks
local compiler_versions GCC_HAS_VER CLANG_HAS_VER
compiler_versions="$(
grep -oP "unsupported (GNU|clang) version.*(gcc versions later than|clang version must be less than) [0-9]*" \
"${S}"/builds/cuda_nvcc/targets/*/include/crt/host_config.h
)"
GCC_HAS_VER="$( echo "${compiler_versions}" | grep gcc | grep -oP "(?<=than )[0-9]*")"
if [[ "${GCC_MAX_VER}" -ne "${GCC_HAS_VER}" ]]; then
eqawarn "check GCC_MAX_VER is ${GCC_MAX_VER} and should be ${GCC_HAS_VER}"
fi
CLANG_HAS_VER="$(( $(echo "${compiler_versions}" | grep clang | grep -oP "(?<=than )[0-9]*") - 1 ))"
if [[ "${CLANG_MAX_VER}" -ne "${CLANG_HAS_VER}" ]]; then
eqawarn "check CLANG_MAX_VER is ${CLANG_MAX_VER} and should be ${CLANG_HAS_VER}"
fi
}
pkg_pretend() {
cuda-toolkit_check_reqs
}
pkg_setup() {
cuda-toolkit_check_reqs
if [[ "${MERGE_TYPE}" == binary ]]; then
return
fi
# we need python for manifest parsing and to determine the supported python versions for cuda-gdb
python_setup
if use amd64; then
narch=x86_64
elif use arm64; then
narch=sbsa
else
die "unknown arch ${ARCH}"
fi
export narch
}
src_unpack() {
cuda_verify
local exclude=(
"cuda-installer"
"*-uninstaller"
"NVIDIA-Linux-${narch}-${DRIVER_PV}.run"
"builds/cuda_documentation"
"builds/cuda_nsight"
"builds/cuda_nvvp"
"builds/nsight_compute"
"builds/nsight_systems"
"builds/nvidia_fs"
)
edob -m "Extracting ${A}" \
bash "${DISTDIR}/${A}" --tar xf -X <(printf "%s\n" "${exclude[@]}")
}
src_prepare() {
eapply -p1 "${FILESDIR}/nvidia-cuda-toolkit-glibc-2.42.patch"
default
}
src_configure() {
:
}
src_compile() {
:
}
src_install() {
local -x SKIP_COMPONENTS=(
"Kernel_Objects"
"Visual_Tools"
"Documentation" # obsolete
"cuda-gdb-src" # not used
)
! use debugger && SKIP_COMPONENTS+=( "cuda-gdb" )
! use examples && SKIP_COMPONENTS+=( "Demo_Suite" )
! use profiler && SKIP_COMPONENTS+=( "cuda-cupti" "cuda-profiler-api" "nvprof" )
! use sanitizer && SKIP_COMPONENTS+=( "compute-sanitizer" )
dodir "${CUDA_PATH}"
into "${CUDA_PATH}"
dofile() {
debug-print-function "${FUNCNAME[0]}" "$@"
if [[ $# -ne 1 ]] && [[ $# -ne 2 ]]; then
die "${FUNCNAME[0]} must receive one or two arguments"
fi
local _DESTDIR
_DESTDIR="$(dirname "${CUDA_PATH}/${1%/}")${2:+/${2%/}}"
mkdir -p "${ED}${_DESTDIR}" || die "mkdir ${_DESTDIR} failed"
local dir
dir="$(dirname "${1}")"
if test -z "$(find "${dir}" -maxdepth 1 -name "$(basename "$1")" -print -quit)"; then
if [[ -e "${ED}${_DESTDIR}/$(basename "${1}")" ]]; then
return
fi
if [[ "$1" == "targets/x86_64-linux/lib/stubs/libcusolverMg*" ]] ||
[[ "$1" == "targets/x86_64-linux/lib/libcusparse.so.*" ]]; then
return
fi
return
fi
if [[ -e "${ED}${_DESTDIR}/$(basename "${1}")" ]]; then
# skip noisy warnings
if [[ "$(basename "${1}")" == "include" ]] ||
[[ "$(basename "${1}")" == "lib64" ]]; then
return
fi
eqawarn "${ED}${_DESTDIR}/$(basename "${1}") exists"
return
fi
eval mv -i "${1}" "${ED}${_DESTDIR}" || die "mv failed ${PWD} / ${1} -> ${ED} ${_DESTDIR}"
}
dopcfile() {
[[ $# -eq 0 ]] && return
dodir "${CUDA_PATH}/pkgconfig"
cat > "${ED}${CUDA_PATH}/pkgconfig/${1}.pc" <<-EOF || die "dopcfile"
cudaroot=${EPREFIX}${CUDA_PATH}
libdir=\${cudaroot}/targets/${narch}-linux/lib${4}
includedir=\${cudaroot}/targets/${narch}-linux/include
Name: ${1}
Description: ${3}
Version: ${2}
Libs: -L\${libdir} -l${1}
Cflags: -I\${includedir}
EOF
}
pushd builds >/dev/null || die
fix_executable_bit=(
cuda_cupti/extras/CUPTI/samples/pc_sampling_utility/pc_sampling_utility_helper.h
cuda_cupti/extras/CUPTI/samples/pc_sampling_continuous/libpc_sampling_continuous.pl
libcufile/gds/tools/run_gdsio.cfg
)
if use amd64; then
fix_executable_bit+=(
cuda_opencl/targets/*/include/CL/cl.hpp
libcufile/targets/*/lib/libcufile_rdma_static.a
libcufile/targets/*/lib/libcufile_static.a
)
fi
chmod -x "${fix_executable_bit[@]}" || die "failed chmod"
popd >/dev/null || die
ebegin "parsing manifest" "${S}/manifests/cuda_"*.xml # {{{
"${EPYTHON}" "${FILESDIR}/parse_manifest.py" "${S}/manifests/cuda_"*".xml" &> "${T}/install.sh" \
|| die "failed to parse manifest"
# shellcheck disable=SC1091
source "${T}/install.sh" || die "failed to source install script"
eend $? # }}}
if use debugger; then
if [[ -d "${ED}/${CUDA_PATH}/extras/Debugger/lib64" ]]; then
rmdir "${ED}/${CUDA_PATH}/extras/Debugger/lib64" || die "remove debugger lib64"
fi
find "${ED}/${CUDA_PATH}/bin" -maxdepth 1 -name "cuda-gdb-*-tui" -print0 | while read -rd $'\0' tui_name; do
impl="$(basename "${tui_name}" | cut -d '-' -f 3 | tr '.' '_')"
if ! has "${impl}" "${PYTHON_COMPAT[@]}" || ! use "python_targets_${impl}"; then
rm "${tui_name}" || die "tui-name rm ${tui_name}"
sed -e "/$(basename "${tui_name}")\"/d" -i "${ED}/${CUDA_PATH}/bin/cuda-gdb" || die "tui_name sed"
fi
done
fi
# remove rdma libs (unless USE=rdma)
if ! use rdma; then
rm "${ED}/${CUDA_PATH}/targets/${narch}-linux/lib/libcufile_rdma"* || die "failed to remove rdma files"
fi
# Add include and lib symlinks
mv "${D}${CUDA_PATH}/include/crt" "${D}${CUDA_PATH}/targets/${narch}-linux/include"
rmdir "${D}${CUDA_PATH}/include"
dosym -r "${CUDA_PATH}/targets/${narch}-linux/include" "${CUDA_PATH}/include"
dosym -r "${CUDA_PATH}/targets/${narch}-linux/lib" "${CUDA_PATH}/$(get_libdir)"
find "${ED}/${CUDA_PATH}" -empty -delete || die
local ldpathextradirs pathextradirs
use debugger && ldpathextradirs+=":${EPREFIX}${CUDA_PATH}/extras/Debugger/lib64"
use profiler && ldpathextradirs+=":${EPREFIX}${CUDA_PATH}/extras/CUPTI/lib64"
local revord=$(( 999999 - $(printf "%02d%02d%02d" "$(ver_cut 1)" "$(ver_cut 2)" "$(ver_cut 3)") ))
newenvd - "99cuda${revord}" <<-EOF
PATH=${EPREFIX}${CUDA_PATH}/bin${pathextradirs}
PKG_CONFIG_PATH=${EPREFIX}${CUDA_PATH}/pkgconfig
LDPATH=${EPREFIX}${CUDA_PATH}/$(get_libdir):${EPREFIX}${CUDA_PATH}/nvvm/lib64${ldpathextradirs}
EOF
# CUDA prepackages libraries, don't revdep-build on them
insinto /etc/revdep-rebuild
newins - "80${PN}${revord}" <<-EOF
SEARCH_DIRS_MASK="${EPREFIX}${CUDA_PATH}"
EOF
# https://bugs.gentoo.org/926116
insinto /etc/sandbox.d
newins - "80${PN}" <<-EOF
SANDBOX_PREDICT="/proc/self/task"
EOF
# TODO drop and replace with runtime detection similar to what python does {{{
# ATTENTION: change requires revbump, see link below for supported GCC # versions
# https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#system-requirements
local cuda_supported_gcc=( 8.5 9.5 10 11 12 13 14 "${GCC_MAX_VER}" )
sed \
-e "s:CUDA_SUPPORTED_GCC:${cuda_supported_gcc[*]}:g" \
"${FILESDIR}"/cuda-config.in > "${ED}/${CUDA_PATH}/bin/cuda-config" || die
fperms +x "${CUDA_PATH}/bin/cuda-config"
# }}}
# skip til cudnn has been changed #950207
# if [[ "${SLOT}" != "${PV}" ]]; then
# dosym -r "${CUDA_PATH}" "${CUDA_PATH%"-${PV}"}"
# fi
fowners -R root:root "${CUDA_PATH}"
}
pkg_postinst_check() {
# Due to requiring specific compiler versions here, we check more then we have to, for the sake of clarity.
# tc-getCC defaults to gcc, so clang-major-version is checked using gcc and fails on gcc-profiles. # 959420
# We therefore force gcc and clang for the check.
if tc-is-gcc || ! use clang; then
if ver_test "$(CC=gcc gcc-major-version)" -gt "${GCC_MAX_VER}"; then
ewarn
ewarn "gcc > ${GCC_MAX_VER} will not work with CUDA"
ewarn
ewarn "Append --ccbin= pointing to a gcc bindir to the nvcc compiler flags (NVCCFLAGS)"
ewarn "or set NVCC_CCBIN to the same bindir."
ewarn " NVCCFLAGS=\"--ccbin=$(eval echo "${EPREFIX}/usr/*-linux-gnu/gcc-bin/${GCC_MAX_VER}")\""
ewarn " NVCC_CCBIN=$(eval echo "${EPREFIX}/usr/*-linux-gnu/gcc-bin/${GCC_MAX_VER}")"
ewarn
fi
fi
if tc-is-clang || use clang; then
if ver_test "$(CC=clang clang-major-version)" -gt "${CLANG_MAX_VER}"; then
ewarn
ewarn "clang > ${CLANG_MAX_VER} will not work with CUDA"
ewarn
ewarn "Append --ccbin= pointing to a clang bindir to the nvcc compiler flags (NVCCFLAGS)"
ewarn "or set NVCC_CCBIN to the same bindir."
ewarn " NVCCFLAGS=\"--ccbin=$(eval echo "${EPREFIX}/usr/lib/llvm/*/bin${CLANG_MAX_VER}")\""
ewarn " NVCC_CCBIN=$(eval echo "${EPREFIX}/usr/lib/llvm/*/bin${CLANG_MAX_VER}")"
ewarn
fi
fi
}
pkg_postinst() {
if [[ ${MERGE_TYPE} != binary ]]; then
pkg_postinst_check
fi
if use profiler; then
einfo
einfo "nvidia-drivers restricts access to performance counters."
einfo "You'll need to run profiling tools (nvprof) "
einfo "using sudo (needs cap SYS_ADMIN) or add the following line to "
einfo "a modprobe configuration file "
einfo "(e.g. /etc/modprobe.d/nvidia-prof.conf): "
einfo
einfo "options nvidia NVreg_RestrictProfilingToAdminUsers=0"
einfo
fi
}

16
metadata/md5-cache/dev-util/nvidia-cuda-toolkit-13.0.0 Normal file
View File

@@ -0,0 +1,16 @@
BDEPEND=|| ( ( dev-lang/python:3.13 dev-python/defusedxml[python_targets_python3_13(-)] ) ( dev-lang/python:3.12 dev-python/defusedxml[python_targets_python3_12(-)] ) ( dev-lang/python:3.11 dev-python/defusedxml[python_targets_python3_11(-)] ) )
DEFINED_PHASES=compile configure install postinst prepare pretend setup unpack
DESCRIPTION=NVIDIA CUDA Toolkit (compiler and friends)
EAPI=8
HOMEPAGE=https://developer.nvidia.com/cuda-zone
INHERIT=check-reqs edo toolchain-funcs python-r1
IUSE=clang debugger examples nsight profiler rdma sanitizer python_targets_python3_11 python_targets_python3_12 python_targets_python3_13
KEYWORDS=-* ~amd64 ~arm64 ~amd64-linux ~arm64-linux
LICENSE=NVIDIA-CUDA
RDEPEND=!clang? ( <sys-devel/gcc-16_pre[cxx] ) clang? ( <llvm-core/clang-21_pre ) sys-process/numactl debugger? ( python_targets_python3_11? ( dev-lang/python:3.11 ) python_targets_python3_12? ( dev-lang/python:3.12 ) python_targets_python3_13? ( dev-lang/python:3.13 ) ) examples? ( media-libs/freeglut media-libs/glu ) nsight? ( dev-util/nsight-compute dev-util/nsight-systems ) rdma? ( sys-cluster/rdma-core )
REQUIRED_USE=|| ( python_targets_python3_11 python_targets_python3_12 python_targets_python3_13 )
RESTRICT=bindist mirror strip test
SLOT=0/13.0.0
SRC_URI=amd64? ( https://developer.download.nvidia.com/compute/cuda/13.0.0/local_installers/cuda_13.0.0_580.65.06_linux.run ) arm64? ( https://developer.download.nvidia.com/compute/cuda/13.0.0/local_installers/cuda_13.0.0_580.65.06_linux_sbsa.run )
_eclasses_=check-reqs 2a9731073c152554078a9a8df8fc0f1b edo a5e294016aa84979fcb2459749eb80b2 toolchain-funcs a0b29008c671a362b505f96fa80ce9c0 out-of-source-utils dbf9e34ee8964084651e25907fa8f52c multibuild 4650a65187015567b4e041bb9bfdb364 multiprocessing 1e32df7deee68372153dca65f4a7c21f python-utils-r1 8a006695bc0db22490452dd06914dda5 python-r1 0e15b2ab9cfc87d7474678201d6bca38
_md5_=b94382db6325ee343e23f6629e5fffc9