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2025-10-09 14:15:47 +02:00
# NOTE: Though NCCL is called within the cudaPackages package set, we avoid passing in
# the names of dependencies from that package set directly to avoid evaluation errors
# in the case redistributable packages are not available.
{
lib,
fetchFromGitHub,
python3,
which,
autoAddDriverRunpath,
cudaPackages,
# passthru.updateScript
gitUpdater,
}:
let
inherit (cudaPackages)
backendStdenv
cuda_cccl
cuda_cudart
cuda_nvcc
cudaAtLeast
flags
;
version = "2.27.6-1";
hash = "sha256-/BiLSZaBbVIqOfd8nQlgUJub0YR3SR4B93x2vZpkeiU=";
in
backendStdenv.mkDerivation (finalAttrs: {
pname = "nccl";
version = version;
src = fetchFromGitHub {
owner = "NVIDIA";
repo = "nccl";
rev = "v${finalAttrs.version}";
hash = hash;
};
__structuredAttrs = true;
strictDeps = true;
outputs = [
"out"
"dev"
];
nativeBuildInputs = [
which
autoAddDriverRunpath
python3
cuda_nvcc
];
buildInputs = [
cuda_nvcc # crt/host_config.h
cuda_cudart
cuda_cccl
];
env.NIX_CFLAGS_COMPILE = toString [ "-Wno-unused-function" ];
postPatch = ''
patchShebangs ./src/device/generate.py
patchShebangs ./src/device/symmetric/generate.py
'';
makeFlags = [
"PREFIX=$(out)"
"NVCC_GENCODE=${flags.gencodeString}"
"CUDA_HOME=${cuda_nvcc}"
"CUDA_LIB=${lib.getLib cuda_cudart}/lib"
"CUDA_INC=${lib.getDev cuda_cudart}/include"
];
enableParallelBuilding = true;
postFixup = ''
moveToOutput lib/libnccl_static.a $dev
'';
passthru.updateScript = gitUpdater {
inherit (finalAttrs) pname version;
rev-prefix = "v";
};
meta = with lib; {
description = "Multi-GPU and multi-node collective communication primitives for NVIDIA GPUs";
homepage = "https://developer.nvidia.com/nccl";
license = licenses.bsd3;
platforms = platforms.linux;
# NCCL is not supported on Jetson, because it does not use NVLink or PCI-e for inter-GPU communication.
# https://forums.developer.nvidia.com/t/can-jetson-orin-support-nccl/232845/9
badPlatforms = lib.optionals flags.isJetsonBuild [ "aarch64-linux" ];
maintainers = with maintainers; [
mdaiter
orivej
];
teams = [ teams.cuda ];
};
})