nixpkgs/pkgs/development/python-modules/torchaudio/bin.nix
2023-05-17 13:14:47 +02:00

72 lines
2.0 KiB
Nix

{ lib
, stdenv
, addOpenGLRunpath
, autoPatchelfHook
, buildPythonPackage
, cudaPackages
, fetchurl
, ffmpeg_4
, pythonAtLeast
, pythonOlder
, python
, torch-bin
}:
buildPythonPackage rec {
pname = "torchaudio";
version = "2.0.2";
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 = (pythonOlder "3.8") || (pythonAtLeast "3.12");
buildInputs = with cudaPackages; [
# $out/${sitePackages}/torchaudio/lib/libtorchaudio*.so wants libcudart.so.11.0 but torch/lib only ships
# libcudart.$hash.so.11.0
cuda_cudart
# $out/${sitePackages}/torchaudio/lib/libtorchaudio*.so wants libnvToolsExt.so.2 but torch/lib only ships
# libnvToolsExt-$hash.so.1
cuda_nvtx
ffmpeg_4.lib
];
nativeBuildInputs = [
autoPatchelfHook
addOpenGLRunpath
];
propagatedBuildInputs = [
torch-bin
];
preInstall = ''
addAutoPatchelfSearchPath "${torch-bin}/${python.sitePackages}/torch"
'';
# The wheel-binary is not stripped to avoid the error of `ImportError: libtorch_cuda_cpp.so: ELF load command address/offset not properly aligned.`.
dontStrip = true;
pythonImportsCheck = [ "torchaudio" ];
meta = with lib; {
description = "PyTorch audio library";
homepage = "https://pytorch.org/";
changelog = "https://github.com/pytorch/audio/releases/tag/v${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 = [ "aarch64-linux" "x86_64-linux" "aarch64-darwin" "x86_64-darwin" ];
maintainers = with maintainers; [ junjihashimoto ];
};
}