83 lines
2.2 KiB
Nix
83 lines
2.2 KiB
Nix
{
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lib,
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stdenv,
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python,
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buildPythonPackage,
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fetchurl,
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pythonOlder,
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pythonAtLeast,
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# buildInputs
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cudaPackages,
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# nativeBuildInputs
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addDriverRunpath,
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autoPatchelfHook,
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# dependencies
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pillow,
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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 = "0.19.1";
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in
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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 "3.13");
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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 =
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with cudaPackages;
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lib.optionals stdenv.hostPlatform.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.$hash.so.11.0
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cuda_cudart
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];
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nativeBuildInputs = lib.optionals stdenv.hostPlatform.isLinux [
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addDriverRunpath
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autoPatchelfHook
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];
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dependencies = [
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pillow
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torch-bin
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];
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# The wheel-binary is not stripped to avoid the error of `ImportError: libtorch_cuda_cpp.so: ELF load command address/offset not properly aligned.`.
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dontStrip = true;
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pythonImportsCheck = [ "torchvision" ];
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preInstall = lib.optionalString stdenv.hostPlatform.isLinux ''
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addAutoPatchelfSearchPath "${torch-bin}/${python.sitePackages}/torch"
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'';
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meta = {
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description = "PyTorch vision library";
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homepage = "https://pytorch.org/";
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changelog = "https://github.com/pytorch/vision/releases/tag/v${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 = lib.licenses.bsd3;
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sourceProvenance = with lib.sourceTypes; [ binaryNativeCode ];
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platforms = [
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"aarch64-darwin"
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"x86_64-linux"
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"aarch64-linux"
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];
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maintainers = with lib.maintainers; [ junjihashimoto ];
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};
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}
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