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{ lib
, symlinkJoin
, buildPythonPackage
, fetchFromGitHub
, ninja
, which
, libjpeg_turbo
, libpng
, numpy
, scipy
, pillow
, pytorch
, pytest
, cudaSupport ? pytorch.cudaSupport or false # by default uses the value from pytorch
}:
let
inherit (pytorch.cudaPackages) cudatoolkit cudnn;
cudatoolkit_joined = symlinkJoin {
name = "${cudatoolkit.name}-unsplit";
paths = [ cudatoolkit.out cudatoolkit.lib ];
};
cudaArchStr = lib.optionalString cudaSupport lib.strings.concatStringsSep ";" pytorch.cudaArchList;
in buildPythonPackage rec {
pname = "torchvision";
version = "0.13.0";
src = fetchFromGitHub {
owner = "pytorch";
repo = "vision";
rev = "refs/tags/v${version}";
sha256 = "sha256-nIE1HvmAhRh3Hvj3qlF52sN9LGIorLiXlLtN7tzQxqU=";
};
nativeBuildInputs = [ libpng ninja which ]
++ lib.optionals cudaSupport [ cudatoolkit_joined ];
TORCHVISION_INCLUDE = "${libjpeg_turbo.dev}/include/";
TORCHVISION_LIBRARY = "${libjpeg_turbo}/lib/";
buildInputs = [ libjpeg_turbo libpng ]
++ lib.optionals cudaSupport [ cudnn ];
propagatedBuildInputs = [ numpy pillow pytorch scipy ];
preBuild = lib.optionalString cudaSupport ''
export TORCH_CUDA_ARCH_LIST="${cudaArchStr}"
export FORCE_CUDA=1
'';
# tries to download many datasets for tests
doCheck = false;
checkPhase = ''
HOME=$TMPDIR py.test test --ignore=test/test_datasets_download.py
'';
checkInputs = [ pytest ];
meta = with lib; {
description = "PyTorch vision library";
homepage = "https://pytorch.org/";
license = licenses.bsd3;
platforms = with platforms; linux ++ lib.optionals (!cudaSupport) darwin;
maintainers = with maintainers; [ ericsagnes ];
};
}
|