83 lines
2.2 KiB
Nix
83 lines
2.2 KiB
Nix
{ lib, 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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, isPy39
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, isPy310
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, python
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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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, setuptools
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, typing-extensions
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}:
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let
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pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion;
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srcs = import ./binary-hashes.nix version;
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unsupported = throw "Unsupported system";
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version = "1.13.1";
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in buildPythonPackage {
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inherit version;
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pname = "torch";
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# Don't forget to update torch to the same version.
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format = "wheel";
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disabled = !(isPy38 || isPy39 || isPy310);
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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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setuptools
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typing-extensions
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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 = lib.makeLibraryPath [ stdenv.cc.cc.lib ];
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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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# The wheel-binary is not stripped to avoid the error of `ImportError: libtorch_cuda_cpp.so: ELF load command address/offset not properly aligned.`.
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dontStrip = true;
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pythonImportsCheck = [ "torch" ];
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meta = with lib; {
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description = "PyTorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration";
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homepage = "https://pytorch.org/";
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changelog = "https://github.com/pytorch/pytorch/releases/tag/v${version}";
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# Includes CUDA and Intel MKL, but redistributions of the binary are not limited.
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# https://docs.nvidia.com/cuda/eula/index.html
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# https://www.intel.com/content/www/us/en/developer/articles/license/onemkl-license-faq.html
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license = licenses.bsd3;
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sourceProvenance = with sourceTypes; [ binaryNativeCode ];
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platforms = [ "aarch64-darwin" "aarch64-linux" "x86_64-darwin" "x86_64-linux" ];
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hydraPlatforms = []; # output size 3.2G on 1.11.0
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maintainers = with maintainers; [ junjihashimoto ];
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};
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}
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