forked from mirrors/nixpkgs
87 lines
2.4 KiB
Nix
87 lines
2.4 KiB
Nix
{ stdenv, lib
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, fetchFromGitHub
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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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, leveldb
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, lmdb
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, opencv
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, protobuf
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, snappy
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, atlas
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, doxygen
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, cudaSupport ? true, cudatoolkit
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, cudnnSupport ? false, cudnn ? null
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, pythonSupport ? false, python ? null, numpy ? null
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}:
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assert cudnnSupport -> cudaSupport;
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assert pythonSupport -> (python != null && numpy != null);
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stdenv.mkDerivation rec {
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name = "caffe-${version}";
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version = "1.0";
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src = fetchFromGitHub {
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owner = "BVLC";
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repo = "caffe";
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rev = version;
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sha256 = "104jp3cm823i3cdph7hgsnj6l77ygbwsy35mdmzhmsi4jxprd9j3";
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};
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enableParallelBuilding = true;
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nativeBuildInputs = [ cmake doxygen ];
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cmakeFlags = [
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"-DCUDA_ARCH_NAME=All"
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(if pythonSupport then "-Dpython_version=${python.version}" else "-DBUILD_python=OFF")
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] ++ lib.optional (!cudaSupport) "-DCPU_ONLY=ON";
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buildInputs = [ boost google-gflags glog protobuf hdf5-cpp lmdb leveldb snappy opencv atlas ]
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++ lib.optional cudaSupport cudatoolkit
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++ lib.optional cudnnSupport cudnn
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++ lib.optionals pythonSupport [ python numpy ];
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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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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 $out/lib/libproto.a
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moveToOutput "bin" "$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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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;
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};
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}
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