95 lines
2.5 KiB
Nix
95 lines
2.5 KiB
Nix
{
|
|
lib,
|
|
stdenv,
|
|
buildPythonPackage,
|
|
python,
|
|
fetchurl,
|
|
pythonOlder,
|
|
pythonAtLeast,
|
|
|
|
# buildInputs
|
|
cudaPackages,
|
|
ffmpeg_6,
|
|
sox,
|
|
|
|
# nativeBuildInputs
|
|
addDriverRunpath,
|
|
autoPatchelfHook,
|
|
|
|
# dependencies
|
|
torch-bin,
|
|
}:
|
|
|
|
buildPythonPackage rec {
|
|
pname = "torchaudio";
|
|
version = "2.5.1";
|
|
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 "3.9") || (pythonAtLeast "3.13");
|
|
|
|
buildInputs =
|
|
[
|
|
# We need to patch lib/torio/_torio_ffmpeg6
|
|
ffmpeg_6.dev
|
|
sox
|
|
]
|
|
++ lib.optionals stdenv.hostPlatform.isLinux (
|
|
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-$hash.so.1
|
|
cuda_nvtx
|
|
]
|
|
);
|
|
|
|
nativeBuildInputs = lib.optionals stdenv.hostPlatform.isLinux [
|
|
autoPatchelfHook
|
|
addDriverRunpath
|
|
];
|
|
|
|
dependencies = [ torch-bin ];
|
|
|
|
preInstall = lib.optionals stdenv.hostPlatform.isLinux ''
|
|
addAutoPatchelfSearchPath "${torch-bin}/${python.sitePackages}/torch"
|
|
'';
|
|
|
|
preFixup = ''
|
|
# TorchAudio loads the newest FFmpeg that works, so get rid of the
|
|
# old ones.
|
|
rm $out/${python.sitePackages}/torio/lib/{lib,_}torio_ffmpeg{4,5}.*
|
|
'';
|
|
|
|
# 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 = {
|
|
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 = lib.licenses.bsd3;
|
|
sourceProvenance = with lib.sourceTypes; [ binaryNativeCode ];
|
|
platforms = [
|
|
"aarch64-linux"
|
|
"x86_64-linux"
|
|
"aarch64-darwin"
|
|
];
|
|
maintainers = with lib.maintainers; [ junjihashimoto ];
|
|
};
|
|
}
|