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{ stdenv
, lib
, fetchFromGitHub
, fetchpatch
, fetchurl
, pkg-config
, cmake
, python3Packages
, libpng
, zlib
, eigen
, protobuf
, howard-hinnant-date
, nlohmann_json
, boost
, oneDNN_2
, abseil-cpp_202111
, gtest
, pythonSupport ? false
, nsync
, flatbuffers
}:
# Python Support
#
# When enabling Python support a wheel is made and stored in a `dist` output.
# This wheel is then installed in a separate derivation.
assert pythonSupport -> lib.versionOlder protobuf.version "3.20";
stdenv.mkDerivation rec {
pname = "onnxruntime";
version = "1.13.1";
src = fetchFromGitHub {
owner = "microsoft";
repo = "onnxruntime";
rev = "v${version}";
sha256 = "sha256-paaeq6QeiOzwiibbz0GkYZxEI/V80lvYNYTm6AuyAXQ=";
fetchSubmodules = true;
};
patches = [
# Use dnnl from nixpkgs instead of submodules
(fetchpatch {
name = "system-dnnl.patch";
url = "https://aur.archlinux.org/cgit/aur.git/plain/system-dnnl.diff?h=python-onnxruntime&id=9c392fb542979981fe0026e0fe3cc361a5f00a36";
sha256 = "sha256-+kedzJHLFU1vMbKO9cn8fr+9A5+IxIuiqzOfR2AfJ0k=";
})
];
nativeBuildInputs = [
cmake
pkg-config
python3Packages.python
gtest
] ++ lib.optionals pythonSupport (with python3Packages; [
setuptools
wheel
pip
pythonOutputDistHook
]);
buildInputs = [
libpng
zlib
howard-hinnant-date
nlohmann_json
boost
oneDNN_2
protobuf
] ++ lib.optionals pythonSupport [
nsync
python3Packages.numpy
python3Packages.pybind11
python3Packages.packaging
];
# TODO: build server, and move .so's to lib output
# Python's wheel is stored in a separate dist output
outputs = [ "out" "dev" ] ++ lib.optionals pythonSupport [ "dist" ];
enableParallelBuilding = true;
cmakeDir = "../cmake";
cmakeFlags = [
"-Donnxruntime_PREFER_SYSTEM_LIB=ON"
"-Donnxruntime_BUILD_SHARED_LIB=ON"
"-Donnxruntime_ENABLE_LTO=ON"
"-Donnxruntime_BUILD_UNIT_TESTS=ON"
"-Donnxruntime_USE_PREINSTALLED_EIGEN=ON"
"-Donnxruntime_USE_MPI=ON"
"-Deigen_SOURCE_PATH=${eigen.src}"
"-DFETCHCONTENT_SOURCE_DIR_ABSEIL_CPP=${abseil-cpp_202111.src}"
"-Donnxruntime_USE_DNNL=YES"
] ++ lib.optionals pythonSupport [
"-Donnxruntime_ENABLE_PYTHON=ON"
];
doCheck = true;
postPatch = ''
substituteInPlace cmake/libonnxruntime.pc.cmake.in \
--replace '$'{prefix}/@CMAKE_INSTALL_ @CMAKE_INSTALL_
'';
postBuild = lib.optionalString pythonSupport ''
python ../setup.py bdist_wheel
'';
postInstall = ''
# perform parts of `tools/ci_build/github/linux/copy_strip_binary.sh`
install -m644 -Dt $out/include \
../include/onnxruntime/core/framework/provider_options.h \
../include/onnxruntime/core/providers/cpu/cpu_provider_factory.h \
../include/onnxruntime/core/session/onnxruntime_*.h
'';
passthru = {
inherit protobuf;
tests = lib.optionalAttrs pythonSupport {
python = python3Packages.onnxruntime;
};
};
meta = with lib; {
description = "Cross-platform, high performance scoring engine for ML models";
longDescription = ''
ONNX Runtime is a performance-focused complete scoring engine
for Open Neural Network Exchange (ONNX) models, with an open
extensible architecture to continually address the latest developments
in AI and Deep Learning. ONNX Runtime stays up to date with the ONNX
standard with complete implementation of all ONNX operators, and
supports all ONNX releases (1.2+) with both future and backwards
compatibility.
'';
homepage = "https://github.com/microsoft/onnxruntime";
changelog = "https://github.com/microsoft/onnxruntime/releases/tag/v${version}";
# https://github.com/microsoft/onnxruntime/blob/master/BUILD.md#architectures
platforms = platforms.unix;
license = licenses.mit;
maintainers = with maintainers; [ jonringer puffnfresh ck3d ];
};
}
|