4a7f99d55d
Part of: https://github.com/NixOS/nixpkgs/issues/108938 meta = with stdenv.lib; is a widely used pattern. We want to slowly remove the `stdenv.lib` indirection and encourage people to use `lib` directly. Thus let’s start with the meta field. This used a rewriting script to mostly automatically replace all occurances of this pattern, and add the `lib` argument to the package header if it doesn’t exist yet. The script in its current form is available at https://cs.tvl.fyi/depot@2f807d7f141068d2d60676a89213eaa5353ca6e0/-/blob/users/Profpatsch/nixpkgs-rewriter/default.nix
141 lines
4.3 KiB
Nix
141 lines
4.3 KiB
Nix
{ config, stdenv, lib
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, fetchFromGitHub
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, fetchurl
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, cmake
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, boost
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, gflags
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, glog
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, hdf5-cpp
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, opencv3
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, protobuf
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, doxygen
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, blas
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, Accelerate, CoreGraphics, CoreVideo
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, lmdbSupport ? true, lmdb
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, leveldbSupport ? true, leveldb, snappy
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, cudaSupport ? config.cudaSupport or false, cudatoolkit
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, cudnnSupport ? cudaSupport, cudnn ? null
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, ncclSupport ? false, nccl ? null
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, pythonSupport ? false, python ? null, numpy ? null
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, substituteAll
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}:
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assert leveldbSupport -> (leveldb != null && snappy != null);
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assert cudnnSupport -> cudaSupport;
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assert ncclSupport -> cudaSupport;
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assert pythonSupport -> (python != null && numpy != null);
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let
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toggle = bool: if bool then "ON" else "OFF";
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test_model_weights = fetchurl {
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url = "http://dl.caffe.berkeleyvision.org/bvlc_reference_caffenet.caffemodel";
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sha256 = "472d4a06035497b180636d8a82667129960371375bd10fcb6df5c6c7631f25e0";
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};
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in
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stdenv.mkDerivation rec {
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pname = "caffe";
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version = "1.0";
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src = fetchFromGitHub {
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owner = "BVLC";
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repo = "caffe";
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rev = version;
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sha256 = "104jp3cm823i3cdph7hgsnj6l77ygbwsy35mdmzhmsi4jxprd9j3";
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};
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nativeBuildInputs = [ cmake doxygen ];
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cmakeFlags =
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# It's important that caffe is passed the major and minor version only because that's what
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# boost_python expects
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[ (if pythonSupport then "-Dpython_version=${python.pythonVersion}" else "-DBUILD_python=OFF")
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"-DBLAS=open"
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] ++ (if cudaSupport then [
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"-DCUDA_ARCH_NAME=All"
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"-DCUDA_HOST_COMPILER=${cudatoolkit.cc}/bin/cc"
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] else [ "-DCPU_ONLY=ON" ])
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++ ["-DUSE_NCCL=${toggle ncclSupport}"]
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++ ["-DUSE_LEVELDB=${toggle leveldbSupport}"]
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++ ["-DUSE_LMDB=${toggle lmdbSupport}"];
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buildInputs = [ boost gflags glog protobuf hdf5-cpp opencv3 blas ]
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++ lib.optional cudaSupport cudatoolkit
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++ lib.optional cudnnSupport cudnn
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++ lib.optional lmdbSupport lmdb
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++ lib.optional ncclSupport nccl
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++ lib.optionals leveldbSupport [ leveldb snappy ]
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++ lib.optionals pythonSupport [ python numpy ]
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++ lib.optionals stdenv.isDarwin [ Accelerate CoreGraphics CoreVideo ]
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;
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propagatedBuildInputs = lib.optionals pythonSupport (
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# requirements.txt
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let pp = python.pkgs; in ([
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pp.numpy pp.scipy pp.scikitimage pp.h5py
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pp.matplotlib pp.ipython pp.networkx pp.nose
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pp.pandas pp.dateutil pp.protobuf pp.gflags
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pp.pyyaml pp.pillow pp.six
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] ++ lib.optional leveldbSupport pp.leveldb)
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);
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outputs = [ "bin" "out" ];
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propagatedBuildOutputs = []; # otherwise propagates out -> bin cycle
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patches = [
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./darwin.patch
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] ++ lib.optional pythonSupport (substituteAll {
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src = ./python.patch;
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inherit (python.sourceVersion) major minor; # Should be changed in case of PyPy
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});
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postPatch = lib.optionalString (cudaSupport && lib.versionAtLeast cudatoolkit.version "9.0") ''
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# CUDA 9.0 doesn't support sm_20
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sed -i 's,20 21(20) ,,' cmake/Cuda.cmake
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'';
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preConfigure = lib.optionalString pythonSupport ''
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# We need this when building with Python bindings
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export BOOST_LIBRARYDIR="${boost.out}/lib";
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'';
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postInstall = ''
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# Internal static library.
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rm $out/lib/libproto.a
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# Install models
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cp -a ../models $out/share/Caffe/models
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moveToOutput "bin" "$bin"
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'' + lib.optionalString pythonSupport ''
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mkdir -p $out/${python.sitePackages}
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mv $out/python/caffe $out/${python.sitePackages}
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rm -rf $out/python
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'';
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doInstallCheck = false; # build takes more than 30 min otherwise
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installCheckPhase = ''
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model=bvlc_reference_caffenet
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m_path="$out/share/Caffe/models/$model"
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$bin/bin/caffe test \
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-model "$m_path/deploy.prototxt" \
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-solver "$m_path/solver.prototxt" \
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-weights "${test_model_weights}"
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'';
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meta = with lib; {
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description = "Deep learning framework";
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longDescription = ''
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Caffe is a deep learning framework made with expression, speed, and
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modularity in mind. It is developed by the Berkeley Vision and Learning
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Center (BVLC) and by community contributors.
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'';
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homepage = "http://caffe.berkeleyvision.org/";
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maintainers = with maintainers; [ jb55 ];
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license = licenses.bsd2;
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platforms = platforms.linux ++ platforms.darwin;
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};
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}
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