depot/third_party/nixpkgs/pkgs/applications/science/math/caffe/default.nix

191 lines
4.3 KiB
Nix

{
config,
stdenv,
lib,
fetchFromGitHub,
fetchurl,
fetchpatch,
cmake,
boost,
gflags,
glog,
hdf5-cpp,
opencv4,
protobuf,
doxygen,
blas,
Accelerate,
CoreGraphics,
CoreVideo,
lmdbSupport ? true,
lmdb,
leveldbSupport ? true,
leveldb,
snappy,
pythonSupport ? false,
python ? null,
numpy ? null,
substituteAll,
}:
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 {
pname = "caffe";
version = "1.0";
src = fetchFromGitHub {
owner = "BVLC";
repo = "caffe";
rev = version;
sha256 = "104jp3cm823i3cdph7hgsnj6l77ygbwsy35mdmzhmsi4jxprd9j3";
};
nativeBuildInputs = [
cmake
doxygen
];
cmakeFlags =
# It's important that caffe is passed the major and minor version only because that's what
# boost_python expects
[
(if pythonSupport then "-Dpython_version=${python.pythonVersion}" else "-DBUILD_python=OFF")
"-DBLAS=open"
"-DCPU_ONLY=ON"
]
++ [ "-DUSE_LEVELDB=${toggle leveldbSupport}" ]
++ [ "-DUSE_LMDB=${toggle lmdbSupport}" ];
buildInputs =
[
boost
gflags
glog
protobuf
hdf5-cpp
opencv4
blas
]
++ lib.optional lmdbSupport lmdb
++ lib.optionals leveldbSupport [
leveldb
snappy
]
++ lib.optionals pythonSupport [
python
numpy
]
++ lib.optionals stdenv.hostPlatform.isDarwin [
Accelerate
CoreGraphics
CoreVideo
];
propagatedBuildInputs = lib.optionals pythonSupport (
# requirements.txt
let
pp = python.pkgs;
in
(
[
pp.numpy
pp.scipy
pp.scikit-image
pp.h5py
pp.matplotlib
pp.ipython
pp.networkx
pp.pandas
pp.python-dateutil
pp.protobuf
pp.gflags
pp.pyyaml
pp.pillow
pp.six
]
++ lib.optional leveldbSupport pp.leveldb
)
);
outputs = [
"bin"
"out"
];
propagatedBuildOutputs = [ ]; # otherwise propagates out -> bin cycle
patches =
[
./darwin.patch
(fetchpatch {
name = "support-opencv4";
url = "https://github.com/BVLC/caffe/pull/6638/commits/0a04cc2ccd37ba36843c18fea2d5cbae6e7dd2b5.patch";
hash = "sha256-ZegTvp0tTHlopQv+UzHDigs6XLkP2VfqLCWXl6aKJSI=";
})
]
++ lib.optional pythonSupport (substituteAll {
src = ./python.patch;
inherit (python.sourceVersion) major minor; # Should be changed in case of PyPy
});
postPatch = ''
substituteInPlace src/caffe/util/io.cpp --replace \
'SetTotalBytesLimit(kProtoReadBytesLimit, 536870912)' \
'SetTotalBytesLimit(kProtoReadBytesLimit)'
'';
preConfigure = lib.optionalString pythonSupport ''
# We need this when building with Python bindings
export BOOST_LIBRARYDIR="${boost.out}/lib";
'';
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 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 = [ ];
broken =
(pythonSupport && (python.isPy310))
|| !(leveldbSupport -> (leveldb != null && snappy != null))
|| !(pythonSupport -> (python != null && numpy != null));
license = licenses.bsd2;
platforms = platforms.linux ++ platforms.darwin;
};
}