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{
stdenv,
config,
lib,
buildPythonPackage,
fetchPypi,
python,
pythonOlder,
pythonAtLeast,
openssl_1_1,
zlib,
setuptools,
cudaSupport ? config.cudaSupport or false,
cudaPackages_11 ? { },
addDriverRunpath,
# runtime dependencies
httpx,
numpy,
protobuf,
pillow,
decorator,
astor,
paddle-bfloat,
opt-einsum,
}:
let
pname = "paddlepaddle" + lib.optionalString cudaSupport "-gpu";
version = "2.5.0";
format = "wheel";
pyShortVersion = "cp${builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion}";
cpuOrGpu = if cudaSupport then "gpu" else "cpu";
allHashAndPlatform = import ./binary-hashes.nix;
hash =
allHashAndPlatform."${stdenv.system}"."${cpuOrGpu}"."${pyShortVersion}"
or (throw "${pname} has no binary-hashes.nix entry for '${stdenv.system}.${cpuOrGpu}.${pyShortVersion}' attribute");
platform = allHashAndPlatform."${stdenv.system}".platform;
src = fetchPypi ({
inherit
version
format
hash
platform
;
pname = builtins.replaceStrings [ "-" ] [ "_" ] pname;
dist = pyShortVersion;
python = pyShortVersion;
abi = pyShortVersion;
});
in
buildPythonPackage {
inherit
pname
version
format
src
;
disabled = pythonOlder "3.9" || pythonAtLeast "3.11";
libraryPath = lib.makeLibraryPath (
# TODO: remove openssl_1_1 and zlib, maybe by building paddlepaddle from
# source as suggested in the following comment:
# https://github.com/NixOS/nixpkgs/pull/243583#issuecomment-1641450848
[
openssl_1_1
zlib
]
++ lib.optionals cudaSupport (
with cudaPackages_11;
[
cudatoolkit.lib
cudatoolkit.out
cudnn
]
)
);
postFixup = lib.optionalString stdenv.hostPlatform.isLinux ''
function fixRunPath {
p=$(patchelf --print-rpath $1)
patchelf --set-rpath "$p:$libraryPath" $1
${lib.optionalString cudaSupport ''
addDriverRunpath $1
''}
}
fixRunPath $out/${python.sitePackages}/paddle/fluid/libpaddle.so
'';
nativeBuildInputs = [ addDriverRunpath ];
propagatedBuildInputs = [
setuptools
httpx
numpy
protobuf
pillow
decorator
astor
paddle-bfloat
opt-einsum
];
pythonImportsCheck = [ "paddle" ];
# no tests
doCheck = false;
meta = with lib; {
description = "PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署";
homepage = "https://github.com/PaddlePaddle/Paddle";
license = licenses.asl20;
maintainers = with maintainers; [ happysalada ];
platforms =
[ "x86_64-linux" ]
++ optionals (!cudaSupport) [
"x86_64-darwin"
"aarch64-darwin"
];
};
}
|
