depot/third_party/nixpkgs/pkgs/development/libraries/openvino/default.nix
Default email 92b3d6365d Project import generated by Copybara.
GitOrigin-RevId: 412b9917cea092f3d39f9cd5dead4effd5bc4053
2022-10-30 16:09:59 +01:00

137 lines
4.1 KiB
Nix

{ lib
, addOpenGLRunpath
, autoPatchelfHook
, stdenv
, fetchFromGitHub
, fetchpatch
, cmake
, git
, protobuf
, tbb
, opencv
, unzip
, shellcheck
, srcOnly
, python
, enablePython ? false
}:
let
onnx_src = srcOnly {
name = "onnx-patched";
src = fetchFromGitHub {
owner = "onnx";
repo = "onnx";
rev = "v1.8.1";
sha256 = "+1zNnZ4lAyVYRptfk0PV7koIX9FqcfD1Ah33qj/G2rA=";
};
patches = [
# Fix build with protobuf 3.18+
# Remove with onnx 1.9 release
(fetchpatch {
url = "https://github.com/onnx/onnx/commit/d3bc82770474761571f950347560d62a35d519d7.patch";
sha256 = "0vdsrklkzhdjaj8wdsl4icn93q3961g8dx35zvff0nhpr08wjb7y";
})
];
};
in
stdenv.mkDerivation rec {
pname = "openvino";
version = "2021.2";
src = fetchFromGitHub {
owner = "openvinotoolkit";
repo = "openvino";
rev = version;
sha256 = "pv4WTfY1U5GbA9Yj07UOLQifvVH3oDfWptxxYW5IwVQ=";
fetchSubmodules = true;
};
dontUseCmakeBuildDir = true;
cmakeFlags = [
"-DNGRAPH_USE_SYSTEM_PROTOBUF:BOOL=ON"
"-DFETCHCONTENT_FULLY_DISCONNECTED:BOOL=ON"
"-DFETCHCONTENT_SOURCE_DIR_EXT_ONNX:STRING=${onnx_src}"
"-DENABLE_VPU:BOOL=OFF"
"-DTBB_DIR:STRING=${tbb}"
"-DENABLE_OPENCV:BOOL=ON"
"-DOPENCV:STRING=${opencv}"
"-DENABLE_GNA:BOOL=OFF"
"-DENABLE_SPEECH_DEMO:BOOL=OFF"
"-DBUILD_TESTING:BOOL=OFF"
"-DENABLE_CLDNN_TESTS:BOOL=OFF"
"-DNGRAPH_INTERPRETER_ENABLE:BOOL=ON"
"-DNGRAPH_TEST_UTIL_ENABLE:BOOL=OFF"
"-DNGRAPH_UNIT_TEST_ENABLE:BOOL=OFF"
"-DENABLE_SAMPLES:BOOL=OFF"
"-DENABLE_CPPLINT:BOOL=OFF"
] ++ lib.optionals enablePython [
"-DENABLE_PYTHON:BOOL=ON"
];
preConfigure = ''
# To make install openvino inside /lib instead of /python
substituteInPlace inference-engine/ie_bridges/python/CMakeLists.txt \
--replace 'DESTINATION python/''${PYTHON_VERSION}/openvino' 'DESTINATION lib/''${PYTHON_VERSION}/site-packages/openvino' \
--replace 'DESTINATION python/''${PYTHON_VERSION}' 'DESTINATION lib/''${PYTHON_VERSION}/site-packages/openvino'
substituteInPlace inference-engine/ie_bridges/python/src/openvino/inference_engine/CMakeLists.txt \
--replace 'python/''${PYTHON_VERSION}/openvino/inference_engine' 'lib/''${PYTHON_VERSION}/site-packages/openvino/inference_engine'
# Used to download OpenCV based on Linux Distro and make it use system OpenCV
substituteInPlace inference-engine/cmake/dependencies.cmake \
--replace 'include(linux_name)' ' ' \
--replace 'if (ENABLE_OPENCV)' 'if (ENABLE_OPENCV AND NOT DEFINED OPENCV)'
cmakeDir=$PWD
mkdir ../build
cd ../build
'';
autoPatchelfIgnoreMissingDeps = [ "libngraph_backend.so" ];
nativeBuildInputs = [
cmake
autoPatchelfHook
addOpenGLRunpath
unzip
];
buildInputs = [
git
protobuf
opencv
python
tbb
shellcheck
] ++ lib.optionals enablePython (with python.pkgs; [
cython
pybind11
]);
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.isx86_64) # at 2022-09-23
|| stdenv.isDarwin; # Cannot find macos sdk
maintainers = with maintainers; [ tfmoraes ];
};
}