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|
{ lib
, gcc12Stdenv
, fetchFromGitHub
, fetchurl
, cudaSupport ? opencv.cudaSupport or false
# build
, addOpenGLRunpath
, autoPatchelfHook
, cmake
, git
, libarchive
, patchelf
, pkg-config
, python3Packages
, shellcheck
# runtime
, flatbuffers
, libusb1
, libxml2
, ocl-icd
, opencv
, protobuf
, pugixml
, snappy
, tbb
, cudaPackages
}:
let
inherit (lib)
cmakeBool
;
stdenv = gcc12Stdenv;
tbbbind_version = "2_5";
tbbbind = fetchurl {
url = "https://storage.openvinotoolkit.org/dependencies/thirdparty/linux/tbbbind_${tbbbind_version}_static_lin_v4.tgz";
hash = "sha256-Tr8wJGUweV8Gb7lhbmcHxrF756ZdKdNRi1eKdp3VTuo=";
};
python = python3Packages.python.withPackages (ps: with ps; [
cython
pybind11
setuptools
sphinx
wheel
]);
in
stdenv.mkDerivation rec {
pname = "openvino";
version = "2024.0.0";
src = fetchFromGitHub {
owner = "openvinotoolkit";
repo = "openvino";
rev = "refs/tags/${version}";
fetchSubmodules = true;
hash = "sha256-Xsrmc1EynkjgPgiQ+ESyVJRJT9Afqyob0/uH+Is4TYA=";
};
outputs = [
"out"
"python"
];
nativeBuildInputs = [
addOpenGLRunpath
autoPatchelfHook
cmake
git
libarchive
patchelf
pkg-config
python
shellcheck
] ++ lib.optionals cudaSupport [
cudaPackages.cuda_nvcc
];
postPatch = ''
mkdir -p temp/tbbbind_${tbbbind_version}
pushd temp/tbbbind_${tbbbind_version}
bsdtar -xf ${tbbbind}
echo "${tbbbind.url}" > ie_dependency.info
popd
'';
dontUseCmakeBuildDir = true;
cmakeFlags = [
"-Wno-dev"
"-DCMAKE_MODULE_PATH:PATH=${placeholder "out"}/lib/cmake"
"-DCMAKE_PREFIX_PATH:PATH=${placeholder "out"}"
"-DOpenCV_DIR=${opencv}/lib/cmake/opencv4/"
"-DProtobuf_LIBRARIES=${protobuf}/lib/libprotobuf${stdenv.hostPlatform.extensions.sharedLibrary}"
"-DPython_EXECUTABLE=${python.interpreter}"
(cmakeBool "CMAKE_VERBOSE_MAKEFILE" true)
(cmakeBool "NCC_SYLE" false)
(cmakeBool "BUILD_TESTING" false)
(cmakeBool "ENABLE_CPPLINT" false)
(cmakeBool "ENABLE_TESTING" false)
(cmakeBool "ENABLE_SAMPLES" false)
# features
(cmakeBool "ENABLE_INTEL_CPU" true)
(cmakeBool "ENABLE_JS" false)
(cmakeBool "ENABLE_LTO" true)
(cmakeBool "ENABLE_ONEDNN_FOR_GPU" false)
(cmakeBool "ENABLE_OPENCV" true)
(cmakeBool "ENABLE_PYTHON" true)
# system libs
(cmakeBool "ENABLE_SYSTEM_FLATBUFFERS" true)
(cmakeBool "ENABLE_SYSTEM_OPENCL" true)
(cmakeBool "ENABLE_SYSTEM_PROTOBUF" false)
(cmakeBool "ENABLE_SYSTEM_PUGIXML" true)
(cmakeBool "ENABLE_SYSTEM_SNAPPY" true)
(cmakeBool "ENABLE_SYSTEM_TBB" true)
];
env.NIX_CFLAGS_COMPILE = lib.optionalString stdenv.isAarch64 "-Wno-narrowing";
autoPatchelfIgnoreMissingDeps = [
"libngraph_backend.so"
];
buildInputs = [
flatbuffers
libusb1
libxml2
ocl-icd
opencv.cxxdev
pugixml
snappy
tbb
] ++ lib.optionals cudaSupport [
cudaPackages.cuda_cudart
];
enableParallelBuilding = true;
postInstall = ''
mkdir -p $python
mv $out/python/* $python/
rmdir $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 ];
};
}
|