%define so_ver 2400
%global desc %{expand: \
OpenVINO is an open-source toolkit for optimizing and deploying deep learning
models from cloud to edge. It accelerates deep learning inference across
various use cases, such as generative AI, video, audio, and language with
models from popular frameworks like PyTorch, TensorFlow, ONNX, and more.}

Name:		openvino
Version:	2024.0.0
Release:	%autorelease
Summary:	Toolkit for optimizing and deploying AI inference

License:	Apache-2.0
URL:		https://github.com/openvinotoolkit/openvino
Source0:	%url/archive/%{version}/%{name}-%{version}.tar.gz
Source1:	https://github.com/openvinotoolkit/oneDNN/archive/f82148befdbdc9576ec721c9d500155ee4de8060/oneddn-f82148b.tar.gz
Source2:	https://github.com/openvinotoolkit/mlas/archive/d1bc25ec4660cddd87804fcf03b2411b5dfb2e94/mlas-d1bc25e.tar.gz
Source3:	dependencies.cmake

Patch0:		openvino-fedora.patch

ExclusiveArch:	x86_64

BuildRequires:	cmake
BuildRequires:	gcc-c++
BuildRequires:	patchelf
BuildRequires:	pugixml-devel
BuildRequires:	pybind11-devel
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	ShellCheck
BuildRequires:	zlib-ng-compat-devel
%ifarch x86_64
BuildRequires:	xbyak-devel
%endif
BuildRequires:	tbb-devel
Provides:	bundled(onednn)
Provides:	bundled(mlas)
Requires:	lib%{name}-ir-frontend = %{version}
Requires:	lib%{name}-pytorch-frontend = %{version}
Requires:	numpy
Recommends:	%{name}-auto-plugin = %{version}
Recommends:	%{name}-auto-batch-plugin = %{version}
Recommends:	%{name}-hetero-plugin = %{version}
Recommends:	%{name}-intel-cpu-plugin = %{version}

%description
%{desc}

%package devel
Summary:	Development files for %{name}
Requires:	%{name}%{?_isa} = %{version}-%{release}

%description devel
The %{name}-devel package contains libraries and header files for
applications that use %{name}.

%package auto-plugin
Summary:	OpenVINO Auto Plugin
Requires:	%{name}%{?_isa} = %{version}-%{release}

%description auto-plugin
AUTO plugin provides a unified device that enables developers to code deep
learning applications once and deploy them anywhere.

%package auto-batch-plugin
Summary:	OpenVINO Auto Batch Plugin
Requires:	%{name}%{?_isa} = %{version}-%{release}

%description auto-batch-plugin
Auto batch plugin provides automatic batching on-the-fly to improve device
utilization by grouping inference requests together, without programming
effort from the user.

%package hetero-plugin
Summary:	OpenVINO Hetero Plugin
Requires:	%{name}%{?_isa} = %{version}-%{release}

%description hetero-plugin
Heterogeneous execution enables automatic inference splitting between several
devices to utilize the power of accelerators to process the heaviest parts of
the model and to execute unsupported operations on fallback devices, like 
the CPU and all available hardware more efficiently during one inference.

%package intel-cpu-plugin
Summary:	OpenVINO Intel CPU Plugin
Requires:	%{name}%{?_isa} = %{version}-%{release}

%description intel-cpu-plugin
The CPU plugin is developed to achieve high performance inference of neural
networks on Intel x86-64 and Arm CPUs. The newer 11th generation and later
Intel CPUs provide even further performance boost, especially with INT8 models.

%package -n lib%{name}-ir-frontend
Summary:	OpenVINO IR Frontend
Requires:	%{name}%{?_isa} = %{version}-%{release}

%description -n lib%{name}-ir-frontend
The primary function of the OpenVINO IR Frontend is to load an OpenVINO IR
into memory.

%package -n lib%{name}-pytorch-frontend
Summary:	OpenVINO PyTorch Frontend
Requires:	%{name}%{?_isa} = %{version}-%{release}

%description -n lib%{name}-pytorch-frontend
The PyTorch Frontend is a C++ based OpenVINO Frontend component that is 
responsible for reading and converting a PyTorch model to an ov::Model object
that can be further serialized into the Intermediate Representation (IR) format

%package -n python3-%{name}
Summary:	OpenVINO Python API
Requires:	%{name}%{?_isa} = %{version}-%{release}

%description -n python3-%{name}
OpenVINO Python API allowing users to use the OpenVINO library in their Python
code. Python API provides bindings to basic and advanced APIs from OpenVINO
runtime.

%prep
%autosetup -p1

# Remove the thirdparty deps
rm -rf thirdparty/*
cp %{SOURCE3} thirdparty/

# Intel-cpu-plugin thirdparty deps
tar xf %{SOURCE1}
cp -r oneDNN-*/* src/plugins/intel_cpu/thirdparty/onednn
tar xf %{SOURCE2}
cp -r mlas-*/* src/plugins/intel_cpu/thirdparty/mlas


%build
%cmake \
	-DCMAKE_BUILD_TYPE=RelWithDebInfo \
	-DCMAKE_CXX_FLAGS="%{optflags} -Wformat -Wformat-security" \
	-DENABLE_CLANG_FORMAT=OFF \
	-DCMAKE_COMPILE_WARNING_AS_ERROR=OFF \
	-DENABLE_QSPECTRE=OFF \
	-DENABLE_INTEGRITYCHECK=OFF \
	-DENABLE_SANITIZER=OFF \
	-DENABLE_UB_SANITIZER=OFF \
	-DENABLE_THREAD_SANITIZER=OFF \
	-DENABLE_COVERAGE=OFF \
	-DENABLE_FASTER_BUILD=OFF \
	-DENABLE_CPPLINT=OFF \
	-DENABLE_CPPLINT_REPORT=OFF \
	-DENABLE_GAPI_PREPROCESSING=OFF \
	-DENABLE_NCC_STYLE=OFF \
	-DENABLE_UNSAFE_LOCATIONS=OFF \
	-DENABLE_FUZZING=OFF \
	-DENABLE_PROFILING_ITT=OFF \
	-DENABLE_PKGCONFIG_GEN=ON \
	-DENABLE_STRICT_DEPENDENCIES=OFF \
	-DENABLE_DEBUG_CAPS=ON \
	-DENABLE_AUTO=ON \
	-DENABLE_AUTO_BATCH=ON \
	-DENABLE_HETERO=ON \
	-DENABLE_INTEL_CPU=ON \
	-DENABLE_MLAS_FOR_CPU=ON \
	-DENABLE_MLAS_FOR_CPU_DEFAULT=ON \
	-DENABLE_INTEL_GNA=OFF \
	-DENABLE_INTEL_GPU=OFF \
	-DENABLE_ONEDNN_FOR_GPU=OFF \
	-DENABLE_MULTI=ON \
	-DENABLE_PROXY=ON \
	-DENABLE_TEMPLATE=ON \
	-DENABLE_OV_ONNX_FRONTEND=OFF \
	-DENABLE_OV_PADDLE_FRONTEND=OFF \
	-DENABLE_OV_IR_FRONTEND=ON \
	-DENABLE_OV_PYTORCH_FRONTEND=ON \
	-DENABLE_OV_TF_FRONTEND=OFF \
	-DENABLE_OV_TF_LITE_FRONTEND=OFF \
	-DENABLE_PYTHON=ON \
	-DOV_CPACK_PYTHONDIR=%{python3_sitearch} \
	-DENABLE_JS=OFF \
	-DENABLE_SYSTEM_LIBS_DEFAULT=ON \
	-DENABLE_SYSTEM_OPENCL=OFF \
	-DENABLE_SYSTEM_PUGIXML=ON \
	-DENABLE_SYSTEM_PROTOBUF=OFF \
	-DTHREADING=TBB \
	-DENABLE_SYSTEM_TBB=ON \
	-DTBB_LIB_INSTALL_DIR=%{_libdir} \
	-DENABLE_TBBBIND_2_5=OFF \
	-DENABLE_TBB_RELEASE_ONLY=ON \
	-DENABLE_SAMPLES=OFF \
	-DENABLE_TESTS=OFF \
	-DBUILD_SHARED_LIBS=ON
%cmake_build

%install
%cmake_install
# Remove unneeded files
rm -rfv %{buildroot}%{python3_sitearch}/requirements.txt
rm -rfv %{buildroot}%{python3_sitearch}/openvino/preprocess/torchvision/requirements.txt

%files
%license LICENSE
%doc CONTRIBUTING.md README.md
%{_libdir}/lib%{name}.so.%{version}
%{_libdir}/lib%{name}.so.%{so_ver}
%{_libdir}/lib%{name}_c.so.%{version}
%{_libdir}/lib%{name}_c.so.%{so_ver}

%files devel
%{_includedir}/%{name}
%{_libdir}/lib%{name}.so
%{_libdir}/lib%{name}_c.so
%{_libdir}/lib%{name}_pytorch_frontend.so
%{_libdir}/cmake/openvino-%{version}
%{_libdir}/pkgconfig/%{name}.pc

%files auto-plugin
%{_libdir}/%{name}-%{version}/lib%{name}_auto_plugin.so

%files auto-batch-plugin
%{_libdir}/%{name}-%{version}/lib%{name}_auto_batch_plugin.so

%files hetero-plugin
%{_libdir}/%{name}-%{version}/lib%{name}_hetero_plugin.so

%files intel-cpu-plugin
%{_libdir}/%{name}-%{version}/lib%{name}_intel_cpu_plugin.so

%files -n lib%{name}-ir-frontend
%{_libdir}/lib%{name}_ir_frontend.so.%{version}
%{_libdir}/lib%{name}_ir_frontend.so.%{so_ver}

%files -n lib%{name}-pytorch-frontend
%{_libdir}/lib%{name}_pytorch_frontend.so.%{version}
%{_libdir}/lib%{name}_pytorch_frontend.so.%{so_ver}

%files -n python3-%{name}
%{python3_sitearch}/%{name}

%changelog
%autochangelog