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{ 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
, cudaSupport ? config.cudaSupport, cudaPackages ? { }
, cudnnSupport ? cudaSupport
, ncclSupport ? false
, pythonSupport ? false, python ? null, numpy ? null
, substituteAll
}:
let
inherit (cudaPackages) cudatoolkit nccl;
# The default for cudatoolkit 10.1 is CUDNN 8.0.5, the last version to support CUDA 10.1.
# However, this caffe does not build with CUDNN 8.x, so we use CUDNN 7.6.5 instead.
# Earlier versions of cudatoolkit use pre-8.x CUDNN, so we use the default.
hasCudnn =
if lib.versionOlder cudatoolkit.version "10.1"
then cudaPackages ? cudnn
else cudaPackages ? cudnn_7_6;
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=${python.pythonVersion}" else "-DBUILD_python=OFF")
"-DBLAS=open"
] ++ (if cudaSupport then [
"-DCUDA_ARCH_NAME=All"
"-DCUDA_HOST_COMPILER=${cudatoolkit.cc}/bin/cc"
] else [ "-DCPU_ONLY=ON" ])
++ ["-DUSE_NCCL=${toggle ncclSupport}"]
++ ["-DUSE_LEVELDB=${toggle leveldbSupport}"]
++ ["-DUSE_LMDB=${toggle lmdbSupport}"];
buildInputs = [ boost gflags glog protobuf hdf5-cpp opencv4 blas ]
++ lib.optional cudaSupport cudatoolkit
++ lib.optional (lib.versionOlder cudatoolkit.version "10.1" && hasCudnn) cudaPackages.cudnn
++ lib.optional (lib.versionAtLeast cudatoolkit.version "10.1" && hasCudnn) cudaPackages.cudnn_7_6
++ lib.optional lmdbSupport lmdb
++ lib.optional ncclSupport nccl
++ lib.optionals leveldbSupport [ leveldb snappy ]
++ lib.optionals pythonSupport [ python numpy ]
++ lib.optionals stdenv.isDarwin [ Accelerate CoreGraphics CoreVideo ]
;
propagatedBuildInputs = lib.optionals pythonSupport (
# requirements.txt
let pp = python.pkgs; in ([
pp.numpy pp.scipy pp.scikit-image pp.h5py
pp.matplotlib pp.ipython pp.networkx pp.nose
pp.pandas pp.python-dateutil pp.protobuf pp.gflags
pp.pyyaml pp.pillow pp.six
] ++ lib.optional leveldbSupport pp.leveldb)
);
outputs = [ "bin" "out" ];
propagatedBuildOutputs = []; # otherwise propagates out -> bin cycle
patches = [
./darwin.patch
(fetchpatch {
name = "support-opencv4";
url = "https://github.com/BVLC/caffe/pull/6638/commits/0a04cc2ccd37ba36843c18fea2d5cbae6e7dd2b5.patch";
hash = "sha256-ZegTvp0tTHlopQv+UzHDigs6XLkP2VfqLCWXl6aKJSI=";
})
] ++ lib.optional pythonSupport (substituteAll {
src = ./python.patch;
inherit (python.sourceVersion) major minor; # Should be changed in case of PyPy
});
postPatch = ''
substituteInPlace src/caffe/util/io.cpp --replace \
'SetTotalBytesLimit(kProtoReadBytesLimit, 536870912)' \
'SetTotalBytesLimit(kProtoReadBytesLimit)'
'' + lib.optionalString (cudaSupport && lib.versionAtLeast cudatoolkit.version "9.0") ''
# CUDA 9.0 doesn't support sm_20
sed -i 's,20 21(20) ,,' cmake/Cuda.cmake
'';
preConfigure = lib.optionalString pythonSupport ''
# We need this when building with Python bindings
export BOOST_LIBRARYDIR="${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 = with maintainers; [ ];
broken =
(pythonSupport && (python.isPy310))
|| cudaSupport
|| !(leveldbSupport -> (leveldb != null && snappy != null))
|| !(cudnnSupport -> (hasCudnn && cudaSupport))
|| !(ncclSupport -> (cudaSupport && !nccl.meta.unsupported))
|| !(pythonSupport -> (python != null && numpy != null))
;
license = licenses.bsd2;
platforms = platforms.linux ++ platforms.darwin;
};
}
|