mirror of
https://github.com/NixOS/nixpkgs.git
synced 2026-03-08 01:04:06 +01:00
135 lines
3.2 KiB
Nix
135 lines
3.2 KiB
Nix
{
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lib,
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stdenv,
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buildPythonPackage,
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fetchFromGitHub,
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cython,
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fastrlock,
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numpy,
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pytestCheckHook,
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mock,
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setuptools,
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cudaPackages,
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addDriverRunpath,
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symlinkJoin,
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}:
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let
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inherit (cudaPackages) cudnn;
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shouldUsePkg = lib.mapNullable (pkg: if pkg.meta.available or true then pkg else null);
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# some packages are not available on all platforms
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cuda_nvprof = shouldUsePkg (cudaPackages.nvprof or null);
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libcutensor = shouldUsePkg (cudaPackages.libcutensor or null);
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nccl = shouldUsePkg (cudaPackages.nccl or null);
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outpaths = lib.filter (outpath: outpath != null) (
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with cudaPackages;
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[
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cuda_cccl # <nv/target>
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cuda_cudart
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cuda_nvcc # <crt/host_defines.h>
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cuda_nvprof
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cuda_nvrtc
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cuda_nvtx
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cuda_profiler_api
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libcublas
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libcufft
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libcurand
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libcusolver
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libcusparse
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# NOTE: libcusparse_lt is too new for CuPy, so we must do without.
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# libcusparse_lt
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]
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);
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cudatoolkit-joined = symlinkJoin {
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name = "cudatoolkit-joined-${cudaPackages.cudaMajorMinorVersion}";
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paths =
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outpaths ++ lib.concatMap (outpath: lib.map (output: outpath.${output}) outpath.outputs) outpaths;
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};
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in
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buildPythonPackage.override { stdenv = cudaPackages.backendStdenv; } rec {
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pname = "cupy";
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version = "13.6.0";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "cupy";
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repo = "cupy";
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tag = "v${version}";
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hash = "sha256-nU3VL0MSCN+mI5m7C5sKAjBSL6ybM6YAk5lJiIDY0ck=";
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fetchSubmodules = true;
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};
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env = {
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LDFLAGS = toString [
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# Fake libcuda.so (the real one is deployed impurely)
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"-L${lib.getOutput "stubs" cudaPackages.cuda_cudart}/lib/stubs"
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];
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# NVCC = "${lib.getExe cudaPackages.cuda_nvcc}"; # FIXME: splicing/buildPackages
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CUDA_PATH = "${cudatoolkit-joined}";
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};
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# See https://docs.cupy.dev/en/v10.2.0/reference/environment.html. Setting both
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# CUPY_NUM_BUILD_JOBS and CUPY_NUM_NVCC_THREADS to NIX_BUILD_CORES results in
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# a small amount of thrashing but it turns out there are a large number of
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# very short builds and a few extremely long ones, so setting both ends up
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# working nicely in practice.
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preConfigure = ''
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export CUPY_NUM_BUILD_JOBS="$NIX_BUILD_CORES"
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export CUPY_NUM_NVCC_THREADS="$NIX_BUILD_CORES"
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'';
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build-system = [
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cython
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fastrlock
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setuptools
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];
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nativeBuildInputs = [
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addDriverRunpath
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cudatoolkit-joined
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];
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buildInputs = [
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cudatoolkit-joined
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cudnn
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libcutensor
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nccl
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];
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dependencies = [
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fastrlock
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numpy
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];
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nativeCheckInputs = [
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pytestCheckHook
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mock
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];
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# Won't work with the GPU, whose drivers won't be accessible from the build
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# sandbox
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doCheck = false;
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postFixup = ''
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find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
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addDriverRunpath "$lib"
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done
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'';
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enableParallelBuilding = true;
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meta = {
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description = "NumPy-compatible matrix library accelerated by CUDA";
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homepage = "https://cupy.chainer.org/";
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changelog = "https://github.com/cupy/cupy/releases/tag/${src.tag}";
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license = lib.licenses.mit;
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platforms = [
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"aarch64-linux"
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"x86_64-linux"
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];
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maintainers = with lib.maintainers; [ GaetanLepage ];
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};
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}
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