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{ lib
, stdenv
, fetchFromGitHub
, fetchurl
, substituteAll
# build
, addOpenGLRunpath
, autoPatchelfHook
, cmake
, git
, libarchive
, pkg-config
, python
, shellcheck
# runtime
, libusb1
, libxml2
, opencv
, protobuf
, pugixml
, tbb
}:
let
# See GNA_VERSION in cmake/dependencies.cmake
gna_version = "03.05.00.1906";
gna = fetchurl {
url = "https://storage.openvinotoolkit.org/dependencies/gna/gna_${gna_version}.zip";
hash = "sha256-SlvobZwCaw4Qr6wqV/x8mddisw49UGq7OjOA+8/icm4=";
};
tbbbind_version = "2_5";
tbbbind = fetchurl {
url = "https://storage.openvinotoolkit.org/dependencies/thirdparty/linux/tbbbind_${tbbbind_version}_static_lin_v3.tgz";
hash = "sha256-053rJiwGmBteLS48WT6fyb5izk/rkd1OZI6SdTZZprM=";
};
in
stdenv.mkDerivation rec {
pname = "openvino";
version = "2023.0.0";
src = fetchFromGitHub {
owner = "openvinotoolkit";
repo = "openvino";
rev = "refs/tags/${version}";
fetchSubmodules = true;
hash = "sha256-z88SgAZ0UX9X7BhBA7/NU/UhVLltb6ANKolruU8YiZQ=";
};
outputs = [
"out"
"python"
];
nativeBuildInputs = [
addOpenGLRunpath
autoPatchelfHook
cmake
git
libarchive
pkg-config
(python.withPackages (ps: with ps; [
cython
pybind11
setuptools
]))
shellcheck
];
patches = [
(substituteAll {
src = ./cmake.patch;
inherit (lib) version;
})
];
postPatch = ''
mkdir -p temp/gna_${gna_version}
pushd temp/
bsdtar -xf ${gna}
autoPatchelf gna_${gna_version}
echo "${gna.url}" > gna_${gna_version}/ie_dependency.info
popd
mkdir -p temp/tbbbind_${tbbbind_version}
pushd temp/tbbbind_${tbbbind_version}
bsdtar -xf ${tbbbind}
echo "${tbbbind.url}" > ie_dependency.info
popd
'';
dontUseCmakeBuildDir = true;
cmakeFlags = [
"-DCMAKE_PREFIX_PATH:PATH=${placeholder "out"}"
"-DCMAKE_MODULE_PATH:PATH=${placeholder "out"}/lib/cmake"
"-DENABLE_LTO:BOOL=ON"
# protobuf
"-DENABLE_SYSTEM_PROTOBUF:BOOL=OFF"
"-DProtobuf_LIBRARIES=${protobuf}/lib/libprotobuf${stdenv.hostPlatform.extensions.sharedLibrary}"
# tbb
"-DENABLE_SYSTEM_TBB:BOOL=ON"
# opencv
"-DENABLE_OPENCV:BOOL=ON"
"-DOpenCV_DIR=${opencv}/lib/cmake/opencv4/"
# pugixml
"-DENABLE_SYSTEM_PUGIXML:BOOL=ON"
# onednn
"-DENABLE_ONEDNN_FOR_GPU:BOOL=OFF"
# intel gna
"-DENABLE_INTEL_GNA:BOOL=ON"
# python
"-DENABLE_PYTHON:BOOL=ON"
# tests
"-DENABLE_CPPLINT:BOOL=OFF"
"-DBUILD_TESTING:BOOL=OFF"
"-DENABLE_SAMPLES:BOOL=OFF"
];
env.NIX_CFLAGS_COMPILE = lib.optionalString stdenv.isAarch64 "-Wno-narrowing";
autoPatchelfIgnoreMissingDeps = [
"libngraph_backend.so"
];
buildInputs = [
libusb1
libxml2
opencv
protobuf
pugixml
tbb
];
enableParallelBuilding = true;
postInstall = ''
pushd $out/python/python${lib.versions.majorMinor python.version}
mkdir -p $python
mv ./* $python/
popd
rm -r $out/python
'';
postFixup = ''
# Link to OpenCL
find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
addOpenGLRunpath "$lib"
done
'';
meta = with lib; {
description = "OpenVINO™ Toolkit repository";
longDescription = ''
This toolkit allows developers to deploy pre-trained deep learning models through a high-level C++ Inference Engine API integrated with application logic.
This open source version includes several components: namely Model Optimizer, nGraph and Inference Engine, as well as CPU, GPU, MYRIAD,
multi device and heterogeneous plugins to accelerate deep learning inferencing on Intel® CPUs and Intel® Processor Graphics.
It supports pre-trained models from the Open Model Zoo, along with 100+ open source and public models in popular formats such as Caffe*, TensorFlow*, MXNet* and ONNX*.
'';
homepage = "https://docs.openvinotoolkit.org/";
license = with licenses; [ asl20 ];
platforms = platforms.all;
broken = (stdenv.isLinux && stdenv.isAarch64) # requires scons, then fails with *** Source directory cannot be under variant directory.
|| stdenv.isDarwin; # Cannot find macos sdk
maintainers = with maintainers; [ tfmoraes ];
};
}
|