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{ stdenv, lib, runCommand
, fetchFromGitHub
, fetchurl
, cmake
, boost
, google-gflags
, glog
, hdf5-cpp
, opencv3
, protobuf
, doxygen
, openblas
, Accelerate, CoreGraphics, CoreVideo
, lmdbSupport ? true, lmdb
, leveldbSupport ? true, leveldb, snappy
, cudaSupport ? stdenv.isLinux, cudatoolkit
, cudnnSupport ? false, cudnn ? null
, ncclSupport ? false, nccl ? null
, pythonSupport ? false, python ? null, numpy ? null
}:
assert leveldbSupport -> (leveldb != null && snappy != null);
assert cudnnSupport -> cudaSupport;
assert ncclSupport -> cudaSupport;
assert pythonSupport -> (python != null && numpy != null);
let
toggle = bool: if bool then "ON" else "OFF";
test_model_weights = fetchurl {
url = "http://dl.caffe.berkeleyvision.org/bvlc_reference_caffenet.caffemodel";
sha256 = "472d4a06035497b180636d8a82667129960371375bd10fcb6df5c6c7631f25e0";
};
in
stdenv.mkDerivation rec {
name = "caffe-${version}";
version = "1.0";
src = fetchFromGitHub {
owner = "BVLC";
repo = "caffe";
rev = version;
sha256 = "104jp3cm823i3cdph7hgsnj6l77ygbwsy35mdmzhmsi4jxprd9j3";
};
enableParallelBuilding = true;
nativeBuildInputs = [ cmake doxygen ];
cmakeFlags =
[ (if pythonSupport then "-Dpython_version=${python.version}" else "-DBUILD_python=OFF")
"-DBLAS=open"
] ++ (if cudaSupport then [
"-DCUDA_ARCH_NAME=All"
"-DCUDA_HOST_COMPILER=${cudatoolkit.cc}/bin/cc"
] else [ "-DCPU_ONLY=ON" ])
++ ["-DUSE_NCCL=${toggle ncclSupport}"]
++ ["-DUSE_LEVELDB=${toggle leveldbSupport}"]
++ ["-DUSE_LMDB=${toggle lmdbSupport}"];
buildInputs = [ boost google-gflags glog protobuf hdf5-cpp opencv3 openblas ]
++ lib.optional cudaSupport cudatoolkit
++ lib.optional cudnnSupport cudnn
++ lib.optional lmdbSupport lmdb
++ lib.optional ncclSupport nccl
++ lib.optionals leveldbSupport [ leveldb snappy ]
++ lib.optionals pythonSupport [ python numpy ]
++ lib.optionals stdenv.isDarwin [ Accelerate CoreGraphics CoreVideo ]
;
propagatedBuildInputs = lib.optional pythonSupport python.pkgs.protobuf;
outputs = [ "bin" "out"];
propagatedBuildOutputs = []; # otherwise propagates out -> bin cycle
patches = [ ./darwin.patch ];
preConfigure = lib.optionalString (cudaSupport && lib.versionAtLeast cudatoolkit.version "9.0") ''
# CUDA 9.0 doesn't support sm_20
sed -i 's,20 21(20) ,,' cmake/Cuda.cmake
'' + lib.optionalString (python.isPy3 or false) ''
sed -i \
-e 's,"python-py''${boost_py_version}",python3,g' \
-e 's,''${Boost_PYTHON-PY''${boost_py_version}_FOUND},''${Boost_PYTHON3_FOUND},g' \
cmake/Dependencies.cmake
'';
postInstall = ''
# Internal static library.
rm $out/lib/libproto.a
# Install models
cp -a ../models $out/share/Caffe/models
moveToOutput "bin" "$bin"
'' + lib.optionalString pythonSupport ''
mkdir -p $out/${python.sitePackages}
mv $out/python/caffe $out/${python.sitePackages}
rm -rf $out/python
'';
doInstallCheck = false; # build takes more than 30 min otherwise
installCheckPhase = ''
model=bvlc_reference_caffenet
m_path="$out/share/Caffe/models/$model"
$bin/bin/caffe test \
-model "$m_path/deploy.prototxt" \
-solver "$m_path/solver.prototxt" \
-weights "${test_model_weights}"
'';
meta = with stdenv.lib; {
description = "Deep learning framework";
longDescription = ''
Caffe is a deep learning framework made with expression, speed, and
modularity in mind. It is developed by the Berkeley Vision and Learning
Center (BVLC) and by community contributors.
'';
homepage = http://caffe.berkeleyvision.org/;
maintainers = with maintainers; [ jb55 ];
license = licenses.bsd2;
platforms = platforms.linux ++ platforms.darwin;
};
}
|