116 lines
3.2 KiB
Nix
116 lines
3.2 KiB
Nix
# NOTE: Though NCCL is called within the cudaPackages package set, we avoid passing in
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# the names of dependencies from that package set directly to avoid evaluation errors
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# in the case redistributable packages are not available.
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{
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lib,
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fetchFromGitHub,
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python3,
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which,
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autoAddDriverRunpath,
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cudaPackages,
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# passthru.updateScript
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gitUpdater,
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}:
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let
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inherit (cudaPackages)
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backendStdenv
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cuda_cccl
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cuda_cudart
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cuda_nvcc
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cudaFlags
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cudatoolkit
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cudaVersion
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;
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in
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backendStdenv.mkDerivation (
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finalAttrs: {
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pname = "nccl";
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version = "2.20.5-1";
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src = fetchFromGitHub {
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owner = "NVIDIA";
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repo = finalAttrs.pname;
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rev = "v${finalAttrs.version}";
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hash = "sha256-ModIjD6RaRD/57a/PA1oTgYhZsAQPrrvhl5sNVXnO6c=";
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};
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strictDeps = true;
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outputs = [
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"out"
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"dev"
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];
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nativeBuildInputs =
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[
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which
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autoAddDriverRunpath
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python3
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]
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++ lib.optionals (lib.versionOlder cudaVersion "11.4") [cudatoolkit]
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++ lib.optionals (lib.versionAtLeast cudaVersion "11.4") [cuda_nvcc];
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buildInputs =
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lib.optionals (lib.versionOlder cudaVersion "11.4") [cudatoolkit]
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++ lib.optionals (lib.versionAtLeast cudaVersion "11.4") [
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cuda_nvcc.dev # crt/host_config.h
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cuda_cudart
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]
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# NOTE: CUDA versions in Nixpkgs only use a major and minor version. When we do comparisons
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# against other version, like below, it's important that we use the same format. Otherwise,
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# we'll get incorrect results.
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# For example, lib.versionAtLeast "12.0" "12.0.0" == false.
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++ lib.optionals (lib.versionAtLeast cudaVersion "12.0") [cuda_cccl];
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env.NIX_CFLAGS_COMPILE = toString ["-Wno-unused-function"];
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preConfigure = ''
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patchShebangs ./src/device/generate.py
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makeFlagsArray+=(
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"NVCC_GENCODE=${lib.concatStringsSep " " cudaFlags.gencode}"
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)
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'';
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makeFlags =
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["PREFIX=$(out)"]
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++ lib.optionals (lib.versionOlder cudaVersion "11.4") [
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"CUDA_HOME=${cudatoolkit}"
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"CUDA_LIB=${lib.getLib cudatoolkit}/lib"
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"CUDA_INC=${lib.getDev cudatoolkit}/include"
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]
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++ lib.optionals (lib.versionAtLeast cudaVersion "11.4") [
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"CUDA_HOME=${cuda_nvcc}"
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"CUDA_LIB=${lib.getLib cuda_cudart}/lib"
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"CUDA_INC=${lib.getDev cuda_cudart}/include"
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];
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enableParallelBuilding = true;
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postFixup = ''
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moveToOutput lib/libnccl_static.a $dev
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'';
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passthru.updateScript = gitUpdater {
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inherit (finalAttrs) pname version;
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rev-prefix = "v";
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};
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meta = with lib; {
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description = "Multi-GPU and multi-node collective communication primitives for NVIDIA GPUs";
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homepage = "https://developer.nvidia.com/nccl";
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license = licenses.bsd3;
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platforms = platforms.linux;
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# NCCL is not supported on Jetson, because it does not use NVLink or PCI-e for inter-GPU communication.
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# https://forums.developer.nvidia.com/t/can-jetson-orin-support-nccl/232845/9
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badPlatforms = lib.optionals cudaFlags.isJetsonBuild [ "aarch64-linux" ];
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maintainers =
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with maintainers;
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[
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mdaiter
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orivej
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]
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++ teams.cuda.members;
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};
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}
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)
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