nixpkgs/pkgs/applications/science/math/mxnet/default.nix
2018-02-25 22:24:09 +03:00

48 lines
1.3 KiB
Nix

{ stdenv, lib, fetchgit, cmake
, opencv, gtest, openblas, liblapack
, cudaSupport ? false, cudatoolkit, nvidia_x11
, cudnnSupport ? false, cudnn
}:
assert cudnnSupport -> cudaSupport;
stdenv.mkDerivation rec {
name = "mxnet-${version}";
version = "1.1.0";
# Submodules needed
src = fetchgit {
url = "https://github.com/apache/incubator-mxnet";
rev = "refs/tags/${version}";
sha256 = "1qgns0c70a1gfyil96h17ms736nwdkp9kv496gvs9pkzqzvr6cpz";
};
nativeBuildInputs = [ cmake ];
buildInputs = [ opencv gtest openblas liblapack ]
++ lib.optionals cudaSupport [ cudatoolkit nvidia_x11 ]
++ lib.optional cudnnSupport cudnn;
cmakeFlags =
(if cudaSupport then [
"-DCUDA_ARCH_NAME=All"
"-DCUDA_HOST_COMPILER=${cudatoolkit.cc}/bin/cc"
] else [ "-DUSE_CUDA=OFF" ])
++ lib.optional (!cudnnSupport) "-DUSE_CUDNN=OFF";
installPhase = ''
install -Dm755 libmxnet.so $out/lib/libmxnet.so
cp -r ../include $out
'';
enableParallelBuilding = true;
meta = with stdenv.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.linux;
};
}