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{ lib, stdenv
, buildPythonPackage
, fetchurl
, isPy37
, isPy38
, isPy39
, isPy310
, python
, addOpenGLRunpath
, future
, numpy
, patchelf
, pyyaml
, requests
, setuptools
, typing-extensions
}:
let
pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion;
srcs = import ./binary-hashes.nix version;
unsupported = throw "Unsupported system";
version = "1.11.0";
in buildPythonPackage {
inherit version;
pname = "pytorch";
# Don't forget to update pytorch to the same version.
format = "wheel";
disabled = !(isPy37 || isPy38 || isPy39 || isPy310);
src = fetchurl srcs."${stdenv.system}-${pyVerNoDot}" or unsupported;
nativeBuildInputs = [
addOpenGLRunpath
patchelf
];
propagatedBuildInputs = [
future
numpy
pyyaml
requests
setuptools
typing-extensions
];
postInstall = ''
# ONNX conversion
rm -rf $out/bin
'';
postFixup = let
rpath = lib.makeLibraryPath [ stdenv.cc.cc.lib ];
in ''
find $out/${python.sitePackages}/torch/lib -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
echo "setting rpath for $lib..."
patchelf --set-rpath "${rpath}:$out/${python.sitePackages}/torch/lib" "$lib"
addOpenGLRunpath "$lib"
done
'';
# The wheel-binary is not stripped to avoid the error of `ImportError: libtorch_cuda_cpp.so: ELF load command address/offset not properly aligned.`.
dontStrip = true;
pythonImportsCheck = [ "torch" ];
meta = with lib; {
description = "Open source, prototype-to-production deep learning platform";
homepage = "https://pytorch.org/";
changelog = "https://github.com/pytorch/pytorch/releases/tag/v${version}";
# Includes CUDA and Intel MKL, but redistributions of the binary are not limited.
# https://docs.nvidia.com/cuda/eula/index.html
# https://www.intel.com/content/www/us/en/developer/articles/license/onemkl-license-faq.html
license = licenses.bsd3;
platforms = platforms.linux ++ platforms.darwin;
maintainers = with maintainers; [ junjihashimoto ];
};
}
|