2021-11-10 00:26:44 +00:00
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{ lib
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, stdenv
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, addOpenGLRunpath
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, autoPatchelfHook
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, buildPythonPackage
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, cudaPackages
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, fetchurl
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, ffmpeg_4
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, pythonAtLeast
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, pythonOlder
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, python
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, torch-bin
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}:
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buildPythonPackage rec {
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pname = "torchaudio";
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version = "2.0.2";
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format = "wheel";
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src =
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let pyVerNoDot = lib.replaceStrings [ "." ] [ "" ] python.pythonVersion;
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unsupported = throw "Unsupported system";
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srcs = (import ./binary-hashes.nix version)."${stdenv.system}-${pyVerNoDot}" or unsupported;
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in
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fetchurl srcs;
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disabled = (pythonOlder "3.8") || (pythonAtLeast "3.12");
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buildInputs = with cudaPackages; [
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# $out/${sitePackages}/torchaudio/lib/libtorchaudio*.so wants libcudart.so.11.0 but torch/lib only ships
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# libcudart.$hash.so.11.0
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cuda_cudart
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# $out/${sitePackages}/torchaudio/lib/libtorchaudio*.so wants libnvToolsExt.so.2 but torch/lib only ships
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# libnvToolsExt-$hash.so.1
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cuda_nvtx
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ffmpeg_4.lib
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];
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nativeBuildInputs = [
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autoPatchelfHook
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addOpenGLRunpath
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];
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propagatedBuildInputs = [
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torch-bin
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];
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preInstall = ''
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addAutoPatchelfSearchPath "${torch-bin}/${python.sitePackages}/torch"
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'';
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# The wheel-binary is not stripped to avoid the error of `ImportError: libtorch_cuda_cpp.so: ELF load command address/offset not properly aligned.`.
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dontStrip = true;
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pythonImportsCheck = [ "torchaudio" ];
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meta = with lib; {
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description = "PyTorch audio library";
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homepage = "https://pytorch.org/";
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changelog = "https://github.com/pytorch/audio/releases/tag/v${version}";
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# Includes CUDA and Intel MKL, but redistributions of the binary are not limited.
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# https://docs.nvidia.com/cuda/eula/index.html
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# https://www.intel.com/content/www/us/en/developer/articles/license/onemkl-license-faq.html
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license = licenses.bsd3;
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sourceProvenance = with sourceTypes; [ binaryNativeCode ];
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platforms = [ "aarch64-linux" "x86_64-linux" "aarch64-darwin" "x86_64-darwin" ];
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maintainers = with maintainers; [ junjihashimoto ];
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};
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}
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