forked from mirrors/nixpkgs
69 lines
1.5 KiB
Nix
69 lines
1.5 KiB
Nix
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{ stdenv
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, buildPythonPackage
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, fetchurl
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, isPy37
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, isPy38
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, python
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, nvidia_x11
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, addOpenGLRunpath
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, future
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, numpy
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, patchelf
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, pyyaml
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, requests
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}:
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let
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pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion;
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platform = if stdenv.isDarwin then "darwin" else "linux";
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srcs = import ./binary-hashes.nix;
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unsupported = throw "Unsupported system";
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in buildPythonPackage {
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pname = "pytorch";
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# Don't forget to update pytorch to the same version.
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version = "1.6.0";
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format = "wheel";
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disabled = !(isPy37 || isPy38);
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src = fetchurl srcs."${stdenv.system}-${pyVerNoDot}" or unsupported;
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nativeBuildInputs = [
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addOpenGLRunpath
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patchelf
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];
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propagatedBuildInputs = [
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future
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numpy
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pyyaml
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requests
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];
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postInstall = ''
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# ONNX conversion
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rm -rf $out/bin
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'';
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postFixup = let
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rpath = stdenv.lib.makeLibraryPath [ stdenv.cc.cc.lib nvidia_x11 ];
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in ''
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find $out/${python.sitePackages}/torch/lib -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
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echo "setting rpath for $lib..."
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patchelf --set-rpath "${rpath}:$out/${python.sitePackages}/torch/lib" "$lib"
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addOpenGLRunpath "$lib"
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done
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'';
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pythonImportsCheck = [ "torch" ];
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meta = with stdenv.lib; {
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description = "Open source, prototype-to-production deep learning platform";
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homepage = "https://pytorch.org/";
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license = licenses.unfree; # Includes CUDA and Intel MKL.
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platforms = platforms.linux;
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maintainers = with maintainers; [ danieldk ];
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};
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}
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