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{ stdenv
, buildPythonPackage
, fetchurl
, isPy37
, isPy38
, python
, nvidia_x11
, addOpenGLRunpath
, future
, numpy
, patchelf
, pyyaml
, requests
}:
let
pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion;
platform = if stdenv.isDarwin then "darwin" else "linux";
srcs = import ./binary-hashes.nix;
unsupported = throw "Unsupported system";
in buildPythonPackage {
pname = "pytorch";
# Don't forget to update pytorch to the same version.
version = "1.6.0";
format = "wheel";
disabled = !(isPy37 || isPy38);
src = fetchurl srcs."${stdenv.system}-${pyVerNoDot}" or unsupported;
nativeBuildInputs = [
addOpenGLRunpath
patchelf
];
propagatedBuildInputs = [
future
numpy
pyyaml
requests
];
postInstall = ''
# ONNX conversion
rm -rf $out/bin
'';
postFixup = let
rpath = stdenv.lib.makeLibraryPath [ stdenv.cc.cc.lib nvidia_x11 ];
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
'';
pythonImportsCheck = [ "torch" ];
meta = with stdenv.lib; {
description = "Open source, prototype-to-production deep learning platform";
homepage = "https://pytorch.org/";
license = licenses.unfree; # Includes CUDA and Intel MKL.
platforms = platforms.linux;
maintainers = with maintainers; [ danieldk ];
};
}
|
