79 lines
2.0 KiB
Nix
79 lines
2.0 KiB
Nix
{ version
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, srcName
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, sha256
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}:
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{ stdenv
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, lib
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, cudatoolkit
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, fetchurl
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, addOpenGLRunpath
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, # The distributed version of CUDNN includes both dynamically liked .so files,
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# as well as statically linked .a files. However, CUDNN is quite large
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# (multiple gigabytes), so you can save some space in your nix store by
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# removing the statically linked libraries if you are not using them.
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#
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# Setting this to true removes the statically linked .a files.
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# Setting this to false keeps these statically linked .a files.
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removeStatic ? false
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}:
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stdenv.mkDerivation {
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name = "cudatoolkit-${cudatoolkit.majorVersion}-cudnn-${version}";
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inherit version;
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src = fetchurl {
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# URL from NVIDIA docker containers: https://gitlab.com/nvidia/cuda/blob/centos7/7.0/runtime/cudnn4/Dockerfile
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url = "https://developer.download.nvidia.com/compute/redist/cudnn/v${version}/${srcName}";
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inherit sha256;
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};
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nativeBuildInputs = [ addOpenGLRunpath ];
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installPhase = ''
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runHook preInstall
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function fixRunPath {
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p=$(patchelf --print-rpath $1)
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patchelf --set-rpath "''${p:+$p:}${lib.makeLibraryPath [ stdenv.cc.cc ]}:\$ORIGIN/" $1
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}
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for lib in lib64/lib*.so; do
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fixRunPath $lib
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done
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mkdir -p $out
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cp -a include $out/include
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cp -a lib64 $out/lib64
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'' + lib.optionalString removeStatic ''
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rm -f $out/lib64/*.a
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'' + ''
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runHook postInstall
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'';
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# Set RUNPATH so that libcuda in /run/opengl-driver(-32)/lib can be found.
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# See the explanation in addOpenGLRunpath.
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postFixup = ''
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for lib in $out/lib/lib*.so; do
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addOpenGLRunpath $lib
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done
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'';
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propagatedBuildInputs = [
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cudatoolkit
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];
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passthru = {
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inherit cudatoolkit;
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majorVersion = lib.versions.major version;
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};
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meta = with lib; {
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description = "NVIDIA CUDA Deep Neural Network library (cuDNN)";
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homepage = "https://developer.nvidia.com/cudnn";
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license = licenses.unfree;
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platforms = [ "x86_64-linux" ];
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maintainers = with maintainers; [ mdaiter ];
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};
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}
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