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{ lib
, stdenv
, buildPythonPackage
, fetchurl
, python
, pytorch-bin
, pythonOlder
, pythonAtLeast
}:
buildPythonPackage rec {
pname = "torchaudio";
version = "0.10.0";
format = "wheel";
src =
let pyVerNoDot = lib.replaceStrings [ "." ] [ "" ] python.pythonVersion;
unsupported = throw "Unsupported system";
srcs = (import ./binary-hashes.nix version)."${stdenv.system}-${pyVerNoDot}" or unsupported;
in fetchurl srcs;
disabled = ! (pythonAtLeast "3.7" && pythonOlder "3.10");
propagatedBuildInputs = [
pytorch-bin
];
# 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 = [ "torchaudio" ];
postFixup = ''
# Note: after patchelf'ing, libcudart can still not be found. However, this should
# not be an issue, because PyTorch is loaded before torchvision and brings
# in the necessary symbols.
patchelf --set-rpath "${lib.makeLibraryPath [ stdenv.cc.cc.lib ]}:${pytorch-bin}/${python.sitePackages}/torch/lib:" \
"$out/${python.sitePackages}/torchaudio/_torchaudio.so"
'';
meta = with lib; {
description = "PyTorch audio library";
homepage = "https://pytorch.org/";
changelog = "https://github.com/pytorch/audio/releases/tag/v${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;
maintainers = with maintainers; [ junjihashimoto ];
};
}
|