forked from mirrors/nixpkgs
127 lines
3.9 KiB
Nix
127 lines
3.9 KiB
Nix
{ stdenv, lib, runCommand
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, fetchFromGitHub
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, fetchurl
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, cmake
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, boost
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, google-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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, openblas
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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 ? stdenv.isLinux, cudatoolkit
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, cudnnSupport ? false, cudnn ? null
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, ncclSupport ? false, nccl ? null
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, pythonSupport ? false, python ? null, numpy ? null
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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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name = "caffe-${version}";
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version = "1.0";
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src = fetchFromGitHub {
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owner = "BVLC";
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repo = "caffe";
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rev = version;
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sha256 = "104jp3cm823i3cdph7hgsnj6l77ygbwsy35mdmzhmsi4jxprd9j3";
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};
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enableParallelBuilding = true;
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nativeBuildInputs = [ cmake doxygen ];
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cmakeFlags =
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[ (if pythonSupport then "-Dpython_version=${python.version}" 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 google-gflags glog protobuf hdf5-cpp opencv3 openblas ]
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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.optional pythonSupport python.pkgs.protobuf;
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outputs = [ "bin" "out"];
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propagatedBuildOutputs = []; # otherwise propagates out -> bin cycle
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patches = [ ./darwin.patch ];
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preConfigure = 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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'' + lib.optionalString (python.isPy3 or false) ''
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sed -i \
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-e 's,"python-py''${boost_py_version}",python3,g' \
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-e 's,''${Boost_PYTHON-PY''${boost_py_version}_FOUND},''${Boost_PYTHON3_FOUND},g' \
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cmake/Dependencies.cmake
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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 stdenv.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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