57 lines
1.8 KiB
Nix
57 lines
1.8 KiB
Nix
{ lib
|
|
, stdenv
|
|
, buildPythonPackage
|
|
, fetchurl
|
|
, isPy37
|
|
, isPy38
|
|
, isPy39
|
|
, isPy310
|
|
, python
|
|
, torch-bin
|
|
, pythonOlder
|
|
, pythonAtLeast
|
|
}:
|
|
|
|
buildPythonPackage rec {
|
|
pname = "torchaudio";
|
|
version = "0.13.0";
|
|
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 = !(isPy37 || isPy38 || isPy39 || isPy310);
|
|
|
|
propagatedBuildInputs = [
|
|
torch-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 "${lib.makeLibraryPath [ stdenv.cc.cc.lib ]}:${torch-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;
|
|
sourceProvenance = with sourceTypes; [ binaryNativeCode ];
|
|
platforms = platforms.linux;
|
|
maintainers = with maintainers; [ junjihashimoto ];
|
|
};
|
|
}
|