#
# Copyright (C) 2026 Intel Corporation
#
# Please submit issues or comments https://github.com/openvinotoolkit/openvino/issues

%bcond_with compiler_in_plugin
%bcond_with compiler_in_driver
%global debug_package %{nil}
%define debugsource_packages %{nil}
%define _binaries_in_noarch_packages_terminate_build 0
%define openvino_cfg Release

%if %{with compiler_in_plugin}
%global enable_openvino OFF
%else
%global enable_openvino ON
%endif

%global so_ver 2600

%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:        2026.0.0
Release:        %autorelease
Summary:        Toolkit for optimizing and deploying AI inference

# Most of the source code is Apache-2.0, with the following exceptions:
# src/core/reference/include/openvino/reference/deformable_psroi_pooling.hpp : MIT
# src/core/src/type/nf4.cpp : MIT
# src/plugins/intel_cpu/src/hash_builder.hpp : BSL-1.0
# src/core/reference/include/openvino/reference/interpolate_pil.hpp : HPND
# oneDNN: BSL-1.0, BSD-3-Clause, (GPL-2.0-only OR BSD-3-Clause), MIT
License:        Apache-2.0 AND MIT AND BSL-1.0 AND HPND AND BSD-3-Clause AND (GPL-2.0-only OR BSD-3-Clause)
URL:            https://github.com/openvinotoolkit/openvino

Source0:        %{url}/archive/%{version}/%{name}-%{version}.tar.gz
Source1:        https://github.com/openvinotoolkit/oneDNN/archive/c6b79c1207bd5f20b9395536dab1d71a47cfcb1d/onednn-c6b79c1.tar.gz
Source2:        https://github.com/openvinotoolkit/mlas/archive/d1bc25ec4660cddd87804fcf03b2411b5dfb2e94/mlas-d1bc25e.tar.gz
Source3:        https://github.com/oneapi-src/oneDNN/archive/929fe4e5629be2a5e89f1ba13b13458b965ffe57/onednn-gpu-929fe4e.tar.gz
%if %{with compiler_in_plugin}
Source4:	https://github.com/oneapi-src/level-zero/archive/d562046e7266120e8be3533597b65f34a00524c1/oneapi-level-zero-d562046.tar.gz
Source5:	https://github.com/jbeder/yaml-cpp/archive/da82fd982c260e7f335ce5acbceff24b270544d1/yaml-cpp-da82fd9.tar.gz
Source6:	https://github.com/intel/level-zero-npu-extensions/archive/8404c63a88d182726038d2b07c219731dada9c21/level-zero-npu-ext-8404c63.tar.gz
%endif

Patch0: protobuf_version.patch
Patch1: xbyak-gflags-system-modules.patch
Patch2: samples-system-gflags-json.patch

ExclusiveArch:  x86_64

BuildRequires:  cmake
BuildRequires:  gcc
BuildRequires:  gcc-c++
BuildRequires:  glibc-devel
BuildRequires:  tbb-devel
BuildRequires:  pugixml-devel
BuildRequires:  snappy-devel
BuildRequires:  protobuf-devel
BuildRequires:  onnx-devel
BuildRequires:  flatbuffers-devel
BuildRequires:  flatbuffers-compiler
BuildRequires:  nlohmann-json-devel
BuildRequires:  opencl-headers
BuildRequires:  pkgconfig(OpenCL)
BuildRequires:  xbyak-devel
BuildRequires:  gflags-devel
BuildRequires:  zlib-devel
%if %{with compiler_in_plugin}
BuildRequires:	ninja-build
BuildRequires:	clang-devel
BuildRequires:	opencv-devel
BuildRequires:	patchelf
BuildRequires:	ShellCheck
BuildRequires:	rpmlint
BuildRequires:	chrpath
%endif

%if %{without compiler_in_plugin}
Requires:       lib%{name}-ir-frontend = %{version}-%{release}
Requires:       lib%{name}-pytorch-frontend = %{version}-%{release}
Requires:       lib%{name}-onnx-frontend = %{version}-%{release}
Requires:       lib%{name}-paddle-frontend = %{version}-%{release}
Requires:       lib%{name}-tensorflow-frontend = %{version}-%{release}
%else
Requires:       lib%{name}-tensorflow-lite-frontend = %{version}-%{release}
%endif
%if %{without compiler_in_plugin}
Recommends:     lib%{name}-auto-plugin = %{version}-%{release}
Recommends:     lib%{name}-auto-batch-plugin = %{version}-%{release}
Recommends:     lib%{name}-hetero-plugin = %{version}-%{release}
Recommends:     lib%{name}-intel-cpu-plugin = %{version}-%{release}
Recommends:     lib%{name}-intel-gpu-plugin = %{version}-%{release}
%else
Recommends:     lib%{name}-intel-npu-plugin = %{version}-%{release}
%endif

%description
%{desc}

%if %{with compiler_in_plugin}
%package -n lib%{name}-npu-devel
%else
%package -n lib%{name}-devel
%endif
Summary:        Development files for %{name}
Requires:       %{name}%{?_isa} = %{version}-%{release}
Requires:       tbb-devel

%if %{with compiler_in_plugin}
%description -n lib%{name}-npu-devel
%else
%description -n lib%{name}-devel
%endif
%{desc}

This package provides the headers and libraries for developing applications
with OpenVINO.


%package -n %{name}-npu-tools
Summary:	NPU compile tools for %{name}
Requires:	%{name}%{?_isa} = %{version}-%{release}

%description -n %{name}-npu-tools
%{desc}

Compile tool is a C++ application that enables to compile a model for inference
on a specific device and exports the compiled representation to a binary file.
Protopipe is a C++ tool for simulating performance and validating accuracy of
various AI scenarios. It supports running inference on ONNX runtime frameworks.
Single Image Test is a C++ application that enables to pass %{name} IR to ONNX
model or pre-compiled blob. This tool can be configured to perform various
preprocessing methods and output comparison algorithms depending on model topology


## NPU Compiler in Driver
%if %{with compiler_in_driver}
%package -n intel-npu-compiler
Summary:	OpenVINO NPU Compiler
# Intel npu-compiler
Provides:	bundled(npu_compiler)
# Flatbuffers for npu_compiler
Provides:	bundled(flatbuffers)
Requires:	%{name}%{?_isa} = %{version}-%{release}
Requires:	intel-npu-driver
# Intel VPUNN code model
Provides:	bundled(npu-nn-cost-model)
# Intel npu-plugin-elf
Provides:	bundled(npu_plugin_elf)
# Intel npu-plugin-llvm
Provides:	bundled(npu-plugin-llvm)

%description -n intel-npu-compiler
Intel NPU device is an AI inference accelerator integrated with Intel client
CPUs, starting from Intel Core Ultra generation of CPUs (formerly known as
Meteor Lake). It enables energy-efficient execution of artificial neural
network tasks.}
%endif

## Plugins ##
%if %{without compiler_in_plugin}
%package -n lib%{name}-auto-plugin
Summary:        Auto / Multi software plugin for OpenVINO

%description -n lib%{name}-auto-plugin
%{desc}

#This package provides the Auto / Multi software plugin for OpenVINO.


%package -n lib%{name}-auto-batch-plugin
Summary:        Automatic batch software plugin for OpenVINO

%description -n lib%{name}-auto-batch-plugin
%{desc}

This package provides the automatic batch software plugin for OpenVINO.


%package -n lib%{name}-hetero-plugin
Summary:        Hetero plugin for OpenVINO

%description -n lib%{name}-hetero-plugin
%{desc}

This package provides the hetero plugin for OpenVINO.


%package -n lib%{name}-intel-cpu-plugin
Summary:        Intel CPU plugin for OpenVINO
# Forked version of OpenVINO oneDNN does not have a proper version
Provides:       bundled(onednn)
# Intel MLAS
Provides:       bundled(mlas)

%description -n lib%{name}-intel-cpu-plugin
%{desc}

This package provides the Intel CPU plugin for OpenVINO.


%package -n lib%{name}-intel-gpu-plugin
Summary:        Intel GPU plugin for OpenVINO
# Forked version of oneapi-src/oneDNN used by the GPU plugin
Provides:       bundled(onednn-gpu)

%description -n lib%{name}-intel-gpu-plugin
%{desc}

This package provides the Intel GPU plugin for OpenVINO.

%else
%package -n lib%{name}-intel-npu-plugin
Summary:	Intel NPU plugin for OpenVINO

%description -n lib%{name}-intel-npu-plugin
%{desc}

This package provides the Intel NPU plugin for OpenVINO.
%endif

## Frontend shared libraries ##
%if %{without compiler_in_plugin}
%package -n lib%{name}-ir-frontend
Summary:        OpenVINO IR Frontend
Requires:       %{name}%{?_isa} = %{version}-%{release}

%description -n lib%{name}-ir-frontend
%{desc}

This package provides the IR frontend for OpenVINO.


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

%description -n lib%{name}-onnx-frontend
%{desc}

This package provides the ONNX frontend for OpenVINO.


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

%description -n lib%{name}-paddle-frontend
%{desc}

This package provides the Paddle frontend for OpenVINO.


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

%description -n lib%{name}-pytorch-frontend
%{desc}

This package provides the PyTorch frontend for OpenVINO.


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

%description -n lib%{name}-tensorflow-frontend
%{desc}

This package provides the TensorFlow frontend for OpenVINO.


%package -n lib%{name}-tensorflow-lite-frontend
Summary:        OpenVINO TensorFlow Lite Frontend
Requires:       %{name}%{?_isa} = %{version}-%{release}

%description -n lib%{name}-tensorflow-lite-frontend
%{desc}

This package provides the TensorFlow Lite frontend for OpenVINO.
%endif


## Samples ##

%package -n %{name}-samples
Summary:        C and C++ samples for OpenVINO
BuildArch:      noarch
Requires:       lib%{name}-devel = %{version}-%{release}
Requires:       cmake
Requires:       gcc-c++
Requires:       gcc
Requires:       glibc-devel
Requires:       make
Requires:       pkgconf-pkg-config
Suggests:       opencv-devel >= 3.0
Suggests:       ocl-icd-devel
Suggests:       opencl-headers

%description -n %{name}-samples
%{desc}

This package provides C and C++ source code samples demonstrating how to
use OpenVINO runtime and APIs.


%prep
%autosetup -p1

# Intel CPU plugin thirdparty deps
tar xf %{SOURCE1}
cp -r oneDNN-c6b79c1207bd5f20b9395536dab1d71a47cfcb1d/* src/plugins/intel_cpu/thirdparty/onednn

tar xf %{SOURCE2}
cp -r mlas-d1bc25ec4660cddd87804fcf03b2411b5dfb2e94/* src/plugins/intel_cpu/thirdparty/mlas

# Intel GPU plugin thirdparty deps
tar xf %{SOURCE3}
cp -r oneDNN-929fe4e5629be2a5e89f1ba13b13458b965ffe57/* src/plugins/intel_gpu/thirdparty/onednn_gpu

# Intel Level-Zero thirdparty deps
%if %{with compiler_in_plugin}
tar xf %{SOURCE4} -C thirdparty/level_zero/level-zero --strip-components=1
# Intel NPU plugin thirdparty deps
tar xf %{SOURCE5} -C src/plugins/intel_npu/thirdparty/yaml-cpp --strip-components=1
tar xf %{SOURCE6} -C src/plugins/intel_npu/thirdparty/level-zero-ext --strip-components=1
%endif


%build
%cmake \
	-DCMAKE_BUILD_TYPE=%{openvino_cfg} \
	-DCMAKE_POLICY_VERSION_MINIMUM="3.5.0" \
	-DCMAKE_CXX_FLAGS="%{optflags} -Wformat -Wformat-security -Wno-free-nonheap-object -Wno-array-bounds -Wno-stringop-overflow" \
	-DCMAKE_COMPILE_WARNING_AS_ERROR=OFF \
	-DCMAKE_NO_SYSTEM_FROM_IMPORTED=ON \
	-DENABLE_CLANG_FORMAT=OFF \
	-DENABLE_PRECOMPILED_HEADERS=OFF \
	-DBUILD_SHARED_LIBS=ON \
	-DCPACK_GENERATOR=RPM \
	-DENABLE_OV_ONNX_FRONTEND=%{enable_openvino} \
	-DENABLE_OV_PADDLE_FRONTEND=%{enable_openvino} \
	-DENABLE_OV_PYTORCH_FRONTEND=%{enable_openvino} \
	-DENABLE_OV_IR_FRONTEND=%{enable_openvino} \
	-DENABLE_OV_TF_FRONTEND=%{enable_openvino} \
	-DENABLE_OV_TF_LITE_FRONTEND=ON \
	-DENABLE_OV_JAX_FRONTEND=%{enable_openvino} \
	-DENABLE_INTEL_NPU=OFF \
	-DENABLE_TEMPLATE=OFF \
	-DENABLE_PROXY=OFF \
	-DENABLE_PYTHON=OFF \
	-DENABLE_MULTI=%{enable_openvino} \
	-DENABLE_AUTO=%{enable_openvino} \
	-DENABLE_AUTO_BATCH=%{enable_openvino} \
	-DENABLE_HETERO=%{enable_openvino} \
	-DENABLE_INTEL_GPU=%{enable_openvino} \
	-DENABLE_INTEL_CPU=%{enable_openvino} \
	-DENABLE_JS=OFF \
	-DENABLE_SAMPLES=ON \
	-DENABLE_TESTS=OFF \
	-DENABLE_PROFILING_ITT=OFF \
	-DENABLE_PKGCONFIG_GEN=ON \
	-DENABLE_SYSTEM_TBB=ON \
	-DENABLE_SYSTEM_OPENCL=ON \
	-DENABLE_SYSTEM_PUGIXML=ON \
	-DENABLE_SYSTEM_SNAPPY=ON \
	-DENABLE_SYSTEM_PROTOBUF=ON \
	-DProtobuf_USE_STATIC_LIBS=OFF \
	-DENABLE_SYSTEM_FLATBUFFERS=ON \
	-DTHREADING=TBB \
%if %{with compiler_in_plugin}
	-G Ninja \
	-DENABLE_INTEL_NPU=ON \
	-DENABLE_SYSTEM_LEVEL_ZERO=ON \
	-DCMAKE_SKIP_INSTALL_RPATH=ON \
	-DCMAKE_BUILD_WITH_INSTALL_RPATH=OFF \
	-DCMAKE_INSTALL_RPATH="" \
	-DCMAKE_INSTALL_RPATH_USE_LINK_PATH=OFF \
	-DENABLE_MLIR_COMPILER=ON \
	-DENABLE_PLUGINS_XML=ON \
	-DENABLE_NPU_PLUGIN_ENGINE=ON \
	-DENABLE_INTEL_NPU_COMPILER=OFF \
	-DENABLE_INTEL_NPU_INTERNAL=ON \
	-DENABLE_INTEL_NPU_PROTOPIPE=ON \
%endif
%if %{with compiler_in_driver}
	-DOPENVINO_EXTRA_MODULES=$NPU_PLUGIN_HOME \
	-DBUILD_COMPILER_FOR_DRIVER=ON \
%endif
	%{nil}

%cmake_build


%install
%cmake_install

# Remove unnecessary files that may be installed
rm -rf %{buildroot}%{_prefix}/install_dependencies \
       %{buildroot}%{_prefix}/setupvars.sh
rm -rf %{buildroot}/usr/licenses/*
rm -rf %{buildroot}%{_datadir}/doc
%if %{with compiler_in_plugin}
cp -f %{buildroot}%{_libdir}/%{name}-%{version}/lib%{name}_intel_npu_plugin.so %{buildroot}%{_libdir}
cp -rf %{_builddir}/%{name}-%{version}/bin/intel64/%{openvino_cfg}/lib%{name}_npu_*.a %{buildroot}%{_libdir}
cp -rf %{_builddir}/%{name}-%{version}/bin/intel64/%{openvino_cfg}/libnpu*.a %{buildroot}%{_libdir}

# Install openvino sample apps
mkdir -p %{buildroot}%{_bindir}
cp -rf %{_builddir}/%{name}-%{version}/bin/intel64/%{openvino_cfg}/compile_tool %{buildroot}%{_bindir}
cp -rf %{_builddir}/%{name}-%{version}/bin/intel64/%{openvino_cfg}/protopipe %{buildroot}%{_bindir}
cp -rf %{_builddir}/%{name}-%{version}/bin/intel64/%{openvino_cfg}/single-image-test %{buildroot}%{_bindir}
cp -rf %{_builddir}/%{name}-%{version}/bin/intel64/%{openvino_cfg}/benchmark_app %{buildroot}%{_bindir}
cp -rf %{_builddir}/%{name}-%{version}/bin/intel64/%{openvino_cfg}/hello_* %{buildroot}%{_bindir}
cp -rf %{_builddir}/%{name}-%{version}/bin/intel64/%{openvino_cfg}/classification_sample_async %{buildroot}%{_bindir}
cp -rf %{_builddir}/%{name}-%{version}/bin/intel64/%{openvino_cfg}/model_creation_sample %{buildroot}%{_bindir}
cp -rf %{_builddir}/%{name}-%{version}/bin/intel64/%{openvino_cfg}/ov_integration_snippet* %{buildroot}%{_bindir}
cp -rf %{_builddir}/%{name}-%{version}/bin/intel64/%{openvino_cfg}/*_benchmark %{buildroot}%{_bindir}
%endif

chrpath --delete %{buildroot}%{_bindir}/compile_tool 2>/dev/null || true
chrpath --delete %{buildroot}%{_bindir}/protopipe 2>/dev/null || true
chrpath --delete %{buildroot}%{_bindir}/single-image-test 2>/dev/null || true
chrpath --delete %{buildroot}%{_bindir}/benchmark_app 2>/dev/null || true
chrpath --delete %{buildroot}%{_bindir}/hello_* 2>/dev/null || true
chrpath --delete %{buildroot}%{_bindir}/classification_sample_async 2>/dev/null || true
chrpath --delete %{buildroot}%{_bindir}/model_creation_sample 2>/dev/null || true
chrpath --delete %{buildroot}%{_bindir}/ov_integration_snippet* 2>/dev/null || true
chrpath --delete %{buildroot}%{_bindir}/*_benchmark 2>/dev/null || true


%check
# Verify the core OpenVINO shared libraries load without unresolved symbols
export LD_LIBRARY_PATH=%{buildroot}%{_libdir}
ldd %{buildroot}%{_libdir}/lib%{name}.so.%{version}
ldd %{buildroot}%{_libdir}/lib%{name}_c.so.%{version}
%if %{with compiler_in_plugin}
ldd %{buildroot}%{_libdir}/lib%{name}_intel_npu_plugin.so
%endif


%if %{without compiler_in_plugin}
%ldconfig_scriptlets
%ldconfig_scriptlets -n lib%{name}-ir-frontend
%ldconfig_scriptlets -n lib%{name}-onnx-frontend
%ldconfig_scriptlets -n lib%{name}-paddle-frontend
%ldconfig_scriptlets -n lib%{name}-pytorch-frontend
%ldconfig_scriptlets -n lib%{name}-tensorflow-frontend
%ldconfig_scriptlets -n lib%{name}-tensorflow-lite-frontend
%endif


%files
%license LICENSE
%doc README.md
%{_libdir}/lib%{name}*.so
%{_libdir}/lib%{name}.so.%{version}
%{_libdir}/lib%{name}.so.%{so_ver}
%{_libdir}/lib%{name}_c.so.%{version}
%{_libdir}/lib%{name}_c.so.%{so_ver}
%if %{with compiler_in_plugin}
%exclude %{_libdir}/lib%{name}_tensorflow*.so
%exclude %{_libdir}/lib%{name}_tensorflow*.so.*
%exclude %{_libdir}/%{name}-%{version}/lib%{name}_intel_npu_plugin.so
%exclude %{_libdir}/%{name}-%{version}/plugins.xml
%endif

%if %{with compiler_in_plugin}
%files -n lib%{name}-npu-devel
%{_includedir}/%{name}/*
%{_libdir}/libnpu*.a
%{_libdir}/lib%{name}_npu*.a
%{_libdir}/pkgconfig/%{name}.pc
%exclude %{_libdir}/*.so
%exclude %{_libdir}/lib%{name}*.so
%exclude %{_libdir}/cmake/%{name}%{version}/*
%else
%files -n lib%{name}-devel
%{_includedir}/%{name}/
%{_libdir}/cmake/%{name}%{version}/
%{_libdir}/*.so
%{_libdir}/pkgconfig/%{name}.pc
%endif

%if %{with compiler_in_driver}
%files -n intel-npu-compiler
%{_includedir}/npu_driver_compiler.h
%{_libdir}/libnpu_driver_compiler.so
%endif

## Plugins
%if %{without compiler_in_plugin}
%files -n lib%{name}-auto-plugin
%dir %{_libdir}/%{name}-%{version}
%{_libdir}/%{name}-%{version}/lib%{name}_auto_plugin.so

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

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

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

%files -n lib%{name}-intel-gpu-plugin
%dir %{_libdir}/%{name}-%{version}
%{_libdir}/%{name}-%{version}/lib%{name}_intel_gpu_plugin.so
%{_libdir}/%{name}-%{version}/cache.json
%endif

%if %{with compiler_in_plugin}
%files -n lib%{name}-intel-npu-plugin
%dir %{_libdir}
%{_libdir}/lib%{name}_intel_npu_plugin.so
%endif


## Frontends

%if %{without compiler_in_plugin}
%files -n lib%{name}-ir-frontend
%{_libdir}/lib%{name}_ir_frontend.so.*

%files -n lib%{name}-onnx-frontend
%{_libdir}/lib%{name}_onnx_frontend.so.*

%files -n lib%{name}-paddle-frontend
%{_libdir}/lib%{name}_paddle_frontend.so.*

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

%files -n lib%{name}-tensorflow-frontend
%{_libdir}/lib%{name}_tensorflow_frontend.so.*

%files -n lib%{name}-tensorflow-lite-frontend
%{_libdir}/lib%{name}_tensorflow_lite_frontend.so.*
%endif

## Samples

%files -n %{name}-samples
%if %{without compiler_in_plugin}
%{_datadir}/%{name}/samples/
%else
%{_bindir}/benchmark_app
%{_bindir}/classification_sample_async
%{_bindir}/hello_*
%{_bindir}/*_benchmark
%{_bindir}/model_creation_sample
%{_bindir}/ov_integration_snippet*
%exclude %{_datadir}/%{name}/samples/
%endif

## NPU Tools

%if %{with compiler_in_plugin}
%files -n %{name}-npu-tools
%{_bindir}/compile_tool
%{_bindir}/protopipe
%{_bindir}/single-image-test
%endif

%changelog
%autochangelog