abd6f00001
This derivation can be used in conjunction with pytorch-bin to avoid the long build time of PyTorch/TorchVision CUDA builds.
59 lines
1.4 KiB
Nix
59 lines
1.4 KiB
Nix
{ lib
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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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, isPy39
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, patchelf
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, pillow
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, python
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, pytorch-bin
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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 = "0.9.1";
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in buildPythonPackage {
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inherit version;
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pname = "torchvision";
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format = "wheel";
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src = fetchurl srcs."${stdenv.system}-${pyVerNoDot}" or unsupported;
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disabled = !(isPy37 || isPy38 || isPy39);
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nativeBuildInputs = [
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patchelf
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];
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propagatedBuildInputs = [
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pillow
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pytorch-bin
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];
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pythonImportsCheck = [ "torchvision" ];
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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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# Note: after patchelf'ing, libcudart can still not be found. However, this should
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# not be an issue, because PyTorch is loaded before torchvision and brings
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# in the necessary symbols.
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patchelf --set-rpath "${rpath}:${pytorch-bin}/${python.sitePackages}/torch/lib:" \
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"$out/${python.sitePackages}/torchvision/_C.so"
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'';
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meta = with lib; {
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description = "PyTorch vision library";
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homepage = "https://pytorch.org/";
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changelog = "https://github.com/pytorch/vision/releases/tag/v${version}";
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license = licenses.bsd3;
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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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