nixpkgs-suyu/pkgs/applications/science/math/mxnet/default.nix
Someone Serge d378cc6fb2
opencv4: respect config.cudaCapabilities
This is needed for faster builds when debugging the opencv derivation,
and it's more consistent with other cuda-enabled packages

-DCUDA_GENERATION seems to expect architecture names, so we refactor
cudaFlags to facilitate easier extraction of the configured archnames
2023-03-04 00:59:21 +02:00

91 lines
3.1 KiB
Nix

{ config, stdenv, lib, fetchurl, fetchpatch, bash, cmake
, opencv3, gtest, blas, gomp, llvmPackages, perl
, cudaSupport ? config.cudaSupport or false, cudaPackages ? {}, nvidia_x11
, cudnnSupport ? cudaSupport
}:
let
inherit (cudaPackages) cudatoolkit cudaFlags cudnn;
in
assert cudnnSupport -> cudaSupport;
stdenv.mkDerivation rec {
pname = "mxnet";
version = "1.9.1";
src = fetchurl {
name = "apache-mxnet-src-${version}-incubating.tar.gz";
url = "https://dlcdn.apache.org/incubator/mxnet/${version}/apache-mxnet-src-${version}-incubating.tar.gz";
hash = "sha256-EephMoF02MKblvNBl34D3rC/Sww3rOZY+T442euMkyI=";
};
patches = [
# Remove the following two patches when updating mxnet to 2.0.
(fetchpatch {
name = "1-auto-disable-sse-for-non-x86.patch";
url = "https://github.com/apache/incubator-mxnet/commit/55e69871d4cadec51a8bbb6700131065388cb0b9.patch";
hash = "sha256-uaMpM0F9HRtEBXz2ewB/dlbuKaY5/RineCPUE2T6CHU=";
})
(fetchpatch {
name = "2-auto-disable-sse-for-non-x86.patch";
url = "https://github.com/apache/incubator-mxnet/commit/c1b96f562f55dfa024ac941d7b104f00e239ee0f.patch";
excludes = ["ci/docker/runtime_functions.sh"];
hash = "sha256-r1LbC8ueRooW5tTNakAlRSJ+9aR4WXXoEKx895DgOs4=";
})
];
nativeBuildInputs = [ cmake perl ];
buildInputs = [ opencv3 gtest blas.provider ]
++ lib.optional stdenv.cc.isGNU gomp
++ lib.optional stdenv.cc.isClang llvmPackages.openmp
# FIXME: when cuda build is fixed, remove nvidia_x11, and use /run/opengl-driver/lib
++ lib.optionals cudaSupport [ cudatoolkit nvidia_x11 ]
++ lib.optional cudnnSupport cudnn;
cmakeFlags =
[ "-DUSE_MKL_IF_AVAILABLE=OFF" ]
++ (if cudaSupport then [
"-DUSE_OLDCMAKECUDA=ON" # see https://github.com/apache/incubator-mxnet/issues/10743
"-DCUDA_ARCH_NAME=All"
"-DCUDA_HOST_COMPILER=${cudatoolkit.cc}/bin/cc"
"-DMXNET_CUDA_ARCH=${builtins.concatStringsSep ";" cudaFlags.realArches}"
] else [ "-DUSE_CUDA=OFF" ])
++ lib.optional (!cudnnSupport) "-DUSE_CUDNN=OFF";
env.NIX_CFLAGS_COMPILE = toString [
# Needed with GCC 12
"-Wno-error=maybe-uninitialized"
"-Wno-error=uninitialized"
];
postPatch = ''
substituteInPlace 3rdparty/mkldnn/tests/CMakeLists.txt \
--replace "/bin/bash" "${bash}/bin/bash"
# Build against the system version of OpenMP.
# https://github.com/apache/incubator-mxnet/pull/12160
rm -rf 3rdparty/openmp
'';
postInstall = ''
rm "$out"/lib/*.a
'';
# used to mark cudaSupport in python310Packages.mxnet as broken;
# other attributes exposed for consistency
passthru = {
inherit cudaSupport cudnnSupport cudatoolkit cudnn;
};
meta = with lib; {
description = "Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler";
homepage = "https://mxnet.incubator.apache.org/";
maintainers = with maintainers; [ abbradar ];
license = licenses.asl20;
platforms = platforms.unix;
# Build failures when linking mxnet_unit_tests: https://gist.github.com/6d17447ee3557967ec52c50d93b17a1d
broken = cudaSupport;
};
}