177 lines
4.3 KiB
Nix
177 lines
4.3 KiB
Nix
{ lib
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, gcc12Stdenv
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, fetchFromGitHub
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, fetchurl
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, cudaSupport ? opencv.cudaSupport or false
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# build
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, addOpenGLRunpath
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, autoPatchelfHook
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, cmake
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, git
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, libarchive
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, patchelf
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, pkg-config
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, python3Packages
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, shellcheck
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# runtime
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, flatbuffers
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, libusb1
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, libxml2
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, ocl-icd
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, opencv
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, protobuf
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, pugixml
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, snappy
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, tbb
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, cudaPackages
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}:
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let
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inherit (lib)
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cmakeBool
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;
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stdenv = gcc12Stdenv;
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tbbbind_version = "2_5";
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tbbbind = fetchurl {
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url = "https://storage.openvinotoolkit.org/dependencies/thirdparty/linux/tbbbind_${tbbbind_version}_static_lin_v4.tgz";
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hash = "sha256-Tr8wJGUweV8Gb7lhbmcHxrF756ZdKdNRi1eKdp3VTuo=";
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};
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python = python3Packages.python.withPackages (ps: with ps; [
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cython
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pybind11
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setuptools
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sphinx
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wheel
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]);
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in
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stdenv.mkDerivation rec {
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pname = "openvino";
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version = "2024.0.0";
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src = fetchFromGitHub {
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owner = "openvinotoolkit";
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repo = "openvino";
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rev = "refs/tags/${version}";
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fetchSubmodules = true;
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hash = "sha256-Xsrmc1EynkjgPgiQ+ESyVJRJT9Afqyob0/uH+Is4TYA=";
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};
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outputs = [
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"out"
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"python"
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];
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nativeBuildInputs = [
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addOpenGLRunpath
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autoPatchelfHook
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cmake
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git
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libarchive
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patchelf
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pkg-config
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python
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shellcheck
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] ++ lib.optionals cudaSupport [
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cudaPackages.cuda_nvcc
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];
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postPatch = ''
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mkdir -p temp/tbbbind_${tbbbind_version}
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pushd temp/tbbbind_${tbbbind_version}
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bsdtar -xf ${tbbbind}
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echo "${tbbbind.url}" > ie_dependency.info
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popd
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'';
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dontUseCmakeBuildDir = true;
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cmakeFlags = [
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"-Wno-dev"
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"-DCMAKE_MODULE_PATH:PATH=${placeholder "out"}/lib/cmake"
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"-DCMAKE_PREFIX_PATH:PATH=${placeholder "out"}"
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"-DOpenCV_DIR=${opencv}/lib/cmake/opencv4/"
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"-DProtobuf_LIBRARIES=${protobuf}/lib/libprotobuf${stdenv.hostPlatform.extensions.sharedLibrary}"
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"-DPython_EXECUTABLE=${python.interpreter}"
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(cmakeBool "CMAKE_VERBOSE_MAKEFILE" true)
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(cmakeBool "NCC_SYLE" false)
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(cmakeBool "BUILD_TESTING" false)
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(cmakeBool "ENABLE_CPPLINT" false)
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(cmakeBool "ENABLE_TESTING" false)
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(cmakeBool "ENABLE_SAMPLES" false)
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# features
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(cmakeBool "ENABLE_INTEL_CPU" true)
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(cmakeBool "ENABLE_JS" false)
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(cmakeBool "ENABLE_LTO" true)
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(cmakeBool "ENABLE_ONEDNN_FOR_GPU" false)
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(cmakeBool "ENABLE_OPENCV" true)
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(cmakeBool "ENABLE_PYTHON" true)
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# system libs
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(cmakeBool "ENABLE_SYSTEM_FLATBUFFERS" true)
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(cmakeBool "ENABLE_SYSTEM_OPENCL" true)
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(cmakeBool "ENABLE_SYSTEM_PROTOBUF" false)
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(cmakeBool "ENABLE_SYSTEM_PUGIXML" true)
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(cmakeBool "ENABLE_SYSTEM_SNAPPY" true)
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(cmakeBool "ENABLE_SYSTEM_TBB" true)
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];
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env.NIX_CFLAGS_COMPILE = lib.optionalString stdenv.isAarch64 "-Wno-narrowing";
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autoPatchelfIgnoreMissingDeps = [
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"libngraph_backend.so"
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];
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buildInputs = [
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flatbuffers
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libusb1
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libxml2
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ocl-icd
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opencv.cxxdev
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pugixml
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snappy
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tbb
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] ++ lib.optionals cudaSupport [
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cudaPackages.cuda_cudart
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];
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enableParallelBuilding = true;
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postInstall = ''
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mkdir -p $python
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mv $out/python/* $python/
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rmdir $out/python
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'';
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postFixup = ''
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# Link to OpenCL
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find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
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addOpenGLRunpath "$lib"
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done
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'';
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meta = with lib; {
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description = "OpenVINO™ Toolkit repository";
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longDescription = ''
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This toolkit allows developers to deploy pre-trained deep learning models through a high-level C++ Inference Engine API integrated with application logic.
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This open source version includes several components: namely Model Optimizer, nGraph and Inference Engine, as well as CPU, GPU, MYRIAD,
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multi device and heterogeneous plugins to accelerate deep learning inferencing on Intel® CPUs and Intel® Processor Graphics.
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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*.
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'';
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homepage = "https://docs.openvinotoolkit.org/";
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license = with licenses; [ asl20 ];
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platforms = platforms.all;
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broken = (stdenv.isLinux && stdenv.isAarch64) # requires scons, then fails with *** Source directory cannot be under variant directory.
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|| stdenv.isDarwin; # Cannot find macos sdk
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maintainers = with maintainers; [ tfmoraes ];
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};
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}
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