Clone of https://github.com/NixOS/nixpkgs.git (to stress-test knotserver)
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1{ 2 lib, 3 stdenv, 4 python, 5 buildPythonPackage, 6 pythonOlder, 7 pythonAtLeast, 8 fetchurl, 9 10 # nativeBuildInputs 11 addDriverRunpath, 12 autoAddDriverRunpath, 13 autoPatchelfHook, 14 15 # buildInputs 16 cudaPackages, 17 18 # dependencies 19 filelock, 20 future, 21 jinja2, 22 networkx, 23 numpy, 24 pyyaml, 25 requests, 26 setuptools, 27 sympy, 28 typing-extensions, 29 triton, 30 31 callPackage, 32}: 33 34let 35 pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion; 36 srcs = import ./binary-hashes.nix version; 37 unsupported = throw "Unsupported system"; 38 version = "2.5.1"; 39in 40buildPythonPackage { 41 inherit version; 42 43 pname = "torch"; 44 # Don't forget to update torch to the same version. 45 46 format = "wheel"; 47 48 disabled = (pythonOlder "3.9") || (pythonAtLeast "3.13"); 49 50 src = fetchurl srcs."${stdenv.system}-${pyVerNoDot}" or unsupported; 51 52 nativeBuildInputs = lib.optionals stdenv.hostPlatform.isLinux [ 53 addDriverRunpath 54 autoAddDriverRunpath 55 autoPatchelfHook 56 ]; 57 58 buildInputs = lib.optionals stdenv.hostPlatform.isLinux ( 59 with cudaPackages; 60 [ 61 # $out/${sitePackages}/nvfuser/_C*.so wants libnvToolsExt.so.1 but torch/lib only ships 62 # libnvToolsExt-$hash.so.1 63 cuda_nvtx 64 65 cuda_cudart 66 cuda_cupti 67 cuda_nvrtc 68 cudnn 69 libcublas 70 libcufft 71 libcurand 72 libcusolver 73 libcusparse 74 nccl 75 ] 76 ); 77 78 autoPatchelfIgnoreMissingDeps = lib.optionals stdenv.hostPlatform.isLinux [ 79 # This is the hardware-dependent userspace driver that comes from 80 # nvidia_x11 package. It must be deployed at runtime in 81 # /run/opengl-driver/lib or pointed at by LD_LIBRARY_PATH variable, rather 82 # than pinned in runpath 83 "libcuda.so.1" 84 ]; 85 86 dependencies = [ 87 filelock 88 future 89 jinja2 90 networkx 91 numpy 92 pyyaml 93 requests 94 setuptools 95 sympy 96 typing-extensions 97 ] ++ lib.optionals (stdenv.hostPlatform.isLinux && stdenv.hostPlatform.isx86_64) [ triton ]; 98 99 postInstall = '' 100 # ONNX conversion 101 rm -rf $out/bin 102 ''; 103 104 postFixup = lib.optionalString stdenv.hostPlatform.isLinux '' 105 addAutoPatchelfSearchPath "$out/${python.sitePackages}/torch/lib" 106 ''; 107 108 # See https://github.com/NixOS/nixpkgs/issues/296179 109 # 110 # This is a quick hack to add `libnvrtc` to the runpath so that torch can find 111 # it when it is needed at runtime. 112 extraRunpaths = lib.optionals stdenv.hostPlatform.isLinux [ 113 "${lib.getLib cudaPackages.cuda_nvrtc}/lib" 114 ]; 115 postPhases = lib.optionals stdenv.hostPlatform.isLinux [ "postPatchelfPhase" ]; 116 postPatchelfPhase = '' 117 while IFS= read -r -d $'\0' elf ; do 118 for extra in $extraRunpaths ; do 119 echo patchelf "$elf" --add-rpath "$extra" >&2 120 patchelf "$elf" --add-rpath "$extra" 121 done 122 done < <( 123 find "''${!outputLib}" "$out" -type f -iname '*.so' -print0 124 ) 125 ''; 126 127 # The wheel-binary is not stripped to avoid the error of `ImportError: libtorch_cuda_cpp.so: ELF load command address/offset not properly aligned.`. 128 dontStrip = true; 129 130 pythonImportsCheck = [ "torch" ]; 131 132 passthru.tests = callPackage ./tests.nix { }; 133 134 meta = { 135 description = "PyTorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration"; 136 homepage = "https://pytorch.org/"; 137 changelog = "https://github.com/pytorch/pytorch/releases/tag/v${version}"; 138 # Includes CUDA and Intel MKL, but redistributions of the binary are not limited. 139 # https://docs.nvidia.com/cuda/eula/index.html 140 # https://www.intel.com/content/www/us/en/developer/articles/license/onemkl-license-faq.html 141 # torch's license is BSD3. 142 # torch-bin used to vendor CUDA. It still links against CUDA and MKL. 143 license = with lib.licenses; [ 144 bsd3 145 issl 146 unfreeRedistributable 147 ]; 148 sourceProvenance = with lib.sourceTypes; [ binaryNativeCode ]; 149 platforms = [ 150 "aarch64-darwin" 151 "aarch64-linux" 152 "x86_64-linux" 153 ]; 154 hydraPlatforms = [ ]; # output size 3.2G on 1.11.0 155 maintainers = with lib.maintainers; [ junjihashimoto ]; 156 }; 157}