70 lines
2.0 KiB
Nix
70 lines
2.0 KiB
Nix
{ lib
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, stdenv
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, addOpenGLRunpath
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, autoPatchelfHook
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, buildPythonPackage
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, cudaPackages
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, fetchurl
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, pythonAtLeast
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, pythonOlder
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, pillow
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, python
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, torch-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 = "0.17.2";
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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 = (pythonOlder "3.8") || (pythonAtLeast "3.12");
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# Note that we don't rely on config.cudaSupport here, because the Linux wheels all come built with CUDA support.
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buildInputs = with cudaPackages; lib.optionals stdenv.isLinux [
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# $out/${sitePackages}/torchvision/_C.so wants libcudart.so.11.0 but torchvision.libs only ships
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# libcudart.$hash.so.11.0
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cuda_cudart
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];
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nativeBuildInputs = lib.optionals stdenv.isLinux [
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autoPatchelfHook
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addOpenGLRunpath
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];
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propagatedBuildInputs = [
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pillow
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torch-bin
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];
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# The wheel-binary is not stripped to avoid the error of `ImportError: libtorch_cuda_cpp.so: ELF load command address/offset not properly aligned.`.
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dontStrip = true;
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pythonImportsCheck = [ "torchvision" ];
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preInstall = lib.optionalString stdenv.isLinux ''
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addAutoPatchelfSearchPath "${torch-bin}/${python.sitePackages}/torch"
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'';
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meta = with lib; {
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description = "PyTorch vision library";
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homepage = "https://pytorch.org/";
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changelog = "https://github.com/pytorch/vision/releases/tag/v${version}";
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# 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" "x86_64-darwin" "x86_64-linux" ];
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maintainers = with maintainers; [ junjihashimoto ];
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};
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}
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