%bcond_without npu

# Disable LTO - requires too much disk space during linking
%global _lto_cflags %{nil}

%global so_ver 2541
%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:	2025.4.1
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-373e65b/src/common/utils.hpp : BSL-1.0
# oneDNN-373e65b/src/graph/backend/graph_compiler/core/src/util/hash_utils.hpp : BSL-1.0
# oneDNN-373e65b/src/cpu/x64/xbyak/xbyak.h : BSD-3-Clause
# oneDNN-373e65b/src/common/ittnotify/disable_warnings.h : GPL-2.0-only OR BSD-3-Clause
# oneDNN-373e65b/src/common/ittnotify/ittnotify_config.h : GPL-2.0-only OR BSD-3-Clause
# oneDNN-373e65b/src/common/ittnotify/ittnotify.h : GPL-2.0-only OR BSD-3-Clause
# oneDNN-373e65b/src/common/ittnotify/ittnotify_static.c : GPL-2.0-only OR BSD-3-Clause
# oneDNN-373e65b/src/common/ittnotify/ittnotify_static.h : GPL-2.0-only OR BSD-3-Clause
# oneDNN-373e65b/src/common/ittnotify/ittnotify_types.h : GPL-2.0-only OR BSD-3-Clause
# oneDNN-373e65b/src/common/ittnotify/jitprofiling.c : GPL-2.0-only OR BSD-3-Clause
# oneDNN-373e65b/src/common/ittnotify/jitprofiling.h : GPL-2.0-only OR BSD-3-Clause
# oneDNN-373e65b/src/common/ittnotify/legacy/ittnotify.h : GPL-2.0-only OR BSD-3-Clause
# oneDNN-373e65b/src/sycl/level_zero/layers/zel_tracing_api.h : MIT
# oneDNN-373e65b/src/sycl/level_zero/layers/zel_tracing_ddi.h : MIT
# oneDNN-373e65b/src/sycl/level_zero/layers/zel_tracing_register_cb.h : MIT
# oneDNN-373e65b/src/sycl/level_zero/loader/ze_loader.h : MIT
# oneDNN-373e65b/src/sycl/level_zero/ze_api.h : MIT
# oneDNN-373e65b/src/sycl/level_zero/ze_ddi.h : MIT
# oneDNN-373e65b/src/sycl/level_zero/zes_api.h : MIT
# oneDNN-373e65b/src/sycl/level_zero/zes_ddi.h : MIT
# oneDNN-373e65b/src/sycl/level_zero/zet_api.h : MIT
# oneDNN-373e65b/src/sycl/level_zero/zet_ddi.h : 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:	dependencies.cmake
Source2:	pyproject.toml
Source3:	https://github.com/openvinotoolkit/oneDNN/archive/a4ed4a789b6e0869e4f651bbfeff6878e91d388e/onednn-a4ed4a7.tar.gz
Source4:	https://github.com/openvinotoolkit/mlas/archive/d1bc25ec4660cddd87804fcf03b2411b5dfb2e94/mlas-d1bc25e.tar.gz
Source5:	https://github.com/intel/level-zero-npu-extensions/archive/61e4aeb00afd2a5b6955986269eed3a713c7b562/level-zero-npu-extensions-61e4aeb.tar.gz
Source6:	https://github.com/openvinotoolkit/npu_compiler/archive/npu_ud_2025_44_rc1/npu_compiler-npu_ud_2025_44_rc1.tar.gz
Source7:	npu-compiler-thirdparty-CMakeLists.txt
Source8:	https://github.com/openvinotoolkit/npu_plugin_elf/archive/c6694c8edb8557d6358e0491d26e453fae765c4f/npu_plugin_elf-c6694c8.tar.gz
Source9:	https://github.com/intel/npu-nn-cost-model/archive/052e5bac1c7bbe5e61ba3052a63ac9b8d0477992/npu-nn-cost-model-052e5ba.tar.gz
Source10:	https://github.com/intel/npu-plugin-llvm/archive/7356ad1b4d04727a6bb5ef840678314d2a956226/npu-plugin-llvm-7356ad1.tar.gz
Source11:	https://github.com/google/flatbuffers/archive/595bf0007ab1929570c7671f091313c8fc20644e/flatbuffers-595bf00.tar.gz

Patch0:		openvino-fedora.patch
Patch1:		npu-level-zero.patch
Patch2:		npu-compiler-disable-git.patch
Patch3:		npu-compiler-fix-install.patch
Patch4:		npu-compiler-vpux-driver-compiler.patch

ExclusiveArch:	x86_64

BuildRequires:	cmake
%if 0%{?fedora} >= 42 || 0%{?rhel} > 10
BuildRequires:	gcc14
BuildRequires:	gcc14-c++
%else
BuildRequires:	gcc
BuildRequires:	gcc-c++
%endif
BuildRequires:	gflags-devel
BuildRequires:	glibc-devel
BuildRequires:	flatbuffers-compiler
BuildRequires:	flatbuffers-devel
BuildRequires:	json-devel
BuildRequires:	libedit-devel
BuildRequires:	libffi-devel
BuildRequires:	libxml2-devel
BuildRequires:	oneapi-level-zero-devel
BuildRequires:	patchelf
BuildRequires:	pugixml-devel
BuildRequires:	pybind11-devel
BuildRequires:	python3-devel
BuildRequires:	python3-onnx
BuildRequires:	python3-pip
BuildRequires:	python3-numpy
BuildRequires:	python3-setuptools
BuildRequires:	python3-pytest
BuildRequires:	python3-wheel
BuildRequires:	snappy-devel
BuildRequires:	zlib-ng-compat-devel
BuildRequires:	xbyak-devel
BuildRequires:	yaml-cpp-devel
BuildRequires:	tbb-devel
BuildRequires:	onnx-devel
BuildRequires:	protobuf-devel
BuildRequires:	opencv-devel
BuildRequires:	pkgconfig(OpenCL)
BuildRequires:	opencl-headers
Requires:	lib%{name}-ir-frontend = %{version}
Requires:	lib%{name}-pytorch-frontend = %{version}
Requires:	lib%{name}-onnx-frontend = %{version}
Requires:	lib%{name}-paddle-frontend = %{version}
Requires:	lib%{name}-tensorflow-frontend = %{version}
Requires:	lib%{name}-tensorflow-lite-frontend = %{version}
Recommends:	%{name}-plugins = %{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 plugins
Summary:	OpenVINO Plugins
# forked version of OpenVINO oneDNN does not have a proper version
Provides:	bundled(onednn)
# Intel MLAS
Provides:	bundled(mlas)
# Intel level-zero-npu-extensions
Provides:	bundled(level-zero-npu-extensions)
Requires:	%{name}%{?_isa} = %{version}-%{release}
Requires:	python3-opencv

%description plugins
The OpenVINO plugins package provides support for various hardware devices.
It includes auto, auto_batch, hetero, intel_cpu, intel_npu, intel_gpu and
template plugins.

%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}
Requires:	python3-torch

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

%description -n lib%{name}-onnx-frontend
The main responsibility of the ONNX Frontend is to import ONNX models and
convert them into the ov::Model representation.

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

%description -n lib%{name}-paddle-frontend
OpenVINO Paddle Frontend is responsible for reading and converting
a PaddlePaddle model and operators and maps them semantically to
the OpenVINO opset.

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

%description -n lib%{name}-tensorflow-frontend
OpenVINO TensorFlow Frontend is responsible for reading and converting
a TensorFlow model to an ov::Model object that further can be serialized into 
the Intermediate Representation (IR) format.

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

%description -n lib%{name}-tensorflow-lite-frontend
OpenVINO TensorFlow Lite Frontend is responsible for reading and converting
a TensorFlow model to an ov::Model object that further can be serialized into 
the Intermediate Representation (IR) format with lower latency and smaller
binary size on mobile and edge devices.

%if %{with npu}
%package -n intel-npu-compiler
Summary:	OpenVINO NPU Compiler
# Intel npu-compiler
Provides:	bundled(npu_compiler)
# intel VPUNN cost 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)
# Flatbuffer for npu_compiler
Provides:	bundled(flatbuffers)
Requires:	%{name}%{?_isa} = %{version}-%{release}
Requires:	intel-npu-driver

%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

%package samples
Summary:	OpenVINO sample applications
Requires:	%{name}-devel%{?_isa} = %{version}-%{release}

%description samples
Sample applications demonstrating OpenVINO inference capabilities, including
benchmark_app, hello_classification, hello_query_device and others.

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

%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 -N
%patch -P 0 -p1

# Remove the thirdparty deps
rm -rf thirdparty/*
cp %{SOURCE1} thirdparty/

# python:prep
sed -i '/openvino-telemetry/d' src/bindings/python/requirements.txt
sed -i 's/numpy>=1.16.6,<2.3.0/numpy>=1.16.6/' src/bindings/python/requirements.txt
cp %{SOURCE2} src/bindings/python

# Intel-cpu-plugin thirdparty deps
tar xf %{SOURCE3}
cp -r oneDNN-*/* src/plugins/intel_cpu/thirdparty/onednn
tar xf %{SOURCE4}
cp -r mlas-*/* src/plugins/intel_cpu/thirdparty/mlas

# Intel-npu-plugin thirdparty deps
rm -rf src/plugins/intel_npu/thirdparty/yaml-cpp
tar xf %{SOURCE5}
cp -r level-*/* src/plugins/intel_npu/thirdparty/level-zero-ext
%patch -P 1 -p1

# intel-gpu-plugin cache.json
sed -i -e 's|CACHE_JSON_INSTALL_DIR ${OV_CPACK_PLUGINSDIR}|CACHE_JSON_INSTALL_DIR %{_datadir}/%{name}|g' src/plugins/intel_gpu/src/kernel_selector/CMakeLists.txt

# gcc 15 include cstdint
sed -i '/#include <vector>.*/a#include <cstdint>' src/core/include/openvino/core/type/bfloat16.hpp
sed -i '/#include <vector>.*/a#include <cstdint>' src/core/include/openvino/core/type/float16.hpp
sed -i '/#include <vector>.*/a#include <cstdint>' src/core/include/openvino/core/type/float8_e4m3.hpp
sed -i '/#include <vector>.*/a#include <cstdint>' src/core/include/openvino/core/type/float8_e5m2.hpp
sed -i '/#include <vector>.*/a#include <cstdint>' src/core/include/openvino/core/type/float8_e8m0.hpp
sed -i '/#include <vector>.*/a#include <cstdint>' src/core/include/openvino/core/type/float4_e2m1.hpp
sed -i '/#include <vector>.*/a#include <cstdint>' src/core/dev_api/openvino/core/type/nf4.hpp
sed -i '/#include <utility>.*/a#include <cstdint>' src/common/snippets/include/snippets/utils/debug_caps_config.hpp
sed -i '/#include <utility>.*/a#include <cstdint>' src/plugins/intel_cpu/src/utils/debug_caps_config.h
sed -i '/#include <vector>.*/a#include <cstdint>' src/plugins/intel_npu/src/plugin/npuw/partitioning/online/graph.hpp
sed -i '/#include <vector>.*/a#include <cstdint>' src/plugins/intel_npu/src/plugin/npuw/serialization.hpp
sed -i '/#include <vector>.*/a#include <cstdint>' src/plugins/intel_npu/tools/protopipe/src/graph.hpp
sed -i '/#include <memory>.*/a#include <cstdint>' src/plugins/intel_npu/tools/protopipe/src/scenario/criterion.hpp

# Intel-npu-compiler
tar xf %{SOURCE6} -C thirdparty
rm -rf thirdparty/npu_compiler-npu_ud_2025_44_rc1/thirdparty/*
cp %{SOURCE7} thirdparty/npu_compiler-npu_ud_2025_44_rc1/thirdparty/CMakeLists.txt
%patch -d thirdparty/npu_compiler-npu_ud_2025_44_rc1 -P 2 -p1
%patch -d thirdparty/npu_compiler-npu_ud_2025_44_rc1 -P 3 -p1
%patch -d thirdparty/npu_compiler-npu_ud_2025_44_rc1 -P 4 -p1
# disable test
sed -i '/^add_subdirectory(test)/s/^/#/' thirdparty/npu_compiler-npu_ud_2025_44_rc1/src/vpux_driver_compiler/CMakeLists.txt

# Intel-npu-compiler thirdparty deps
tar xf %{SOURCE8}
mv npu_compiler_elf-* thirdparty/npu_compiler-npu_ud_2025_44_rc1/thirdparty/elf
tar xf %{SOURCE9}
mv npu-nn-cost-model-* thirdparty/npu_compiler-npu_ud_2025_44_rc1/thirdparty/vpucostmodel
tar xf %{SOURCE10}
mv  npu-plugin-llvm-* thirdparty/npu_compiler-npu_ud_2025_44_rc1/thirdparty/llvm-project
# disable atomic builtins
sed -i '/^include(CheckAtomic)/s/^/#/' thirdparty/npu_compiler-npu_ud_2025_44_rc1/thirdparty/llvm-project/llvm/cmake/config-ix.cmake
# extract flatbuffers
tar xf %{SOURCE11}
mv flatbuffers-* thirdparty/npu_compiler-npu_ud_2025_44_rc1/thirdparty/flatbuffers

%build
%if %{with npu}
export NPU_PLUGIN_HOME="$PWD/thirdparty/npu_compiler-npu_ud_2025_44_rc1"
%endif
export CFLAGS="${CFLAGS/-Werror=format-security/} -Wno-error=stringop-overflow -Wno-error=maybe-uninitialized -Wno-error=dangling-reference -Wno-error=template-id-cdtor"
export CXXFLAGS="${CXXFLAGS/-Werror=format-security/} -Wno-error=stringop-overflow -Wno-error=maybe-uninitialized -Wno-error=dangling-reference -Wno-error=template-id-cdtor"

%cmake \
	-DCMAKE_BUILD_TYPE=RelWithDebInfo \
	-DCMAKE_POLICY_VERSION_MINIMUM="3.5.0" \
%if 0%{?fedora} >= 42 || 0%{?rhel} > 10
	-DCMAKE_C_COMPILER=gcc-14 \
	-DCMAKE_CXX_COMPILER=g++-14 \
%endif
	-DCMAKE_COMPILE_WARNING_AS_ERROR=OFF \
	-DENABLE_CLANG_FORMAT=OFF \
	-DENABLE_PRECOMPILED_HEADERS=OFF \
	-DCMAKE_NO_SYSTEM_FROM_IMPORTED=ON \
	-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=ON \
	-DENABLE_SYSTEM_LEVEL_ZERO=ON \
%if %{with npu}
	-DENABLE_INTEL_NPU=ON \
	-DENABLE_NPU_PLUGIN_ENGINE=ON \
	-DENABLE_ZEROAPI_BACKEND=ON \
	-DENABLE_INTEL_NPU_INTERNAL=ON \
	-DENABLE_INTEL_NPU_PROTOPIPE=ON \
%else
	-DENABLE_INTEL_NPU=OFF \
%endif
	-DENABLE_ONEDNN_FOR_GPU=OFF \
	-DENABLE_MULTI=ON \
	-DENABLE_PROXY=ON \
	-DENABLE_TEMPLATE=ON \
	-DENABLE_OV_ONNX_FRONTEND=ON \
	-DENABLE_OV_PADDLE_FRONTEND=ON \
	-DENABLE_OV_JAX_FRONTEND=OFF \
	-DENABLE_OV_IR_FRONTEND=ON \
	-DENABLE_OV_PYTORCH_FRONTEND=ON \
	-DENABLE_OV_TF_FRONTEND=ON \
	-DENABLE_OV_TF_LITE_FRONTEND=ON \
	-DENABLE_PYTHON=ON \
	-DPython3_EXECUTABLE=%{python3} \
	-DENABLE_WHEEL=OFF \
	-DENABLE_JS=OFF \
	-DENABLE_SYSTEM_LIBS_DEFAULT=ON \
	-DENABLE_SYSTEM_OPENCL=ON \
	-DENABLE_SYSTEM_PUGIXML=ON \
	-DENABLE_SYSTEM_SNAPPY=ON \
	-DENABLE_SYSTEM_PROTOBUF=ON \
	-DProtobuf_LIBRARIES=%{_libdir} \
	-DProtobuf_INCLUDE_DIRS=%{_includedir} \
	-DProtobuf_USE_STATIC_LIBS=OFF \
	-DTHREADING=TBB \
	-DENABLE_SYSTEM_TBB=ON \
	-DTBB_LIB_INSTALL_DIR=%{_libdir} \
	-DENABLE_TBBBIND_2_5=OFF \
	-DENABLE_TBB_RELEASE_ONLY=ON \
	-DENABLE_SAMPLES=ON \
	-DENABLE_TESTS=OFF \
	-DBUILD_SHARED_LIBS=ON \
	-DBLAS_LIBRARIES=%{_libdir} \
%if %{with npu}
	-DOPENVINO_EXTRA_MODULES=$NPU_PLUGIN_HOME \
	-DDENABLE_PRIVATE_TESTS=OFF \
	-DENABLE_NPU_LSP_SERVER=OFF \
	-DENABLE_PREBUILT_LLVM_MLIR_LIBS=OFF \
	-DDENABLE_DEVELOPER_BUILD=OFF \
	-DENABLE_MLIR_COMPILER=ON \
	-DBUILD_COMPILER_FOR_DRIVER=ON \
	-DENABLE_DRIVER_COMPILER_ADAPTER=OFF \
	-DENABLE_SOURCE_PACKAGE=OFF \
	-DLibEdit_LIBRARIES=%{_libdir}/libedit.so \
	-DLibEdit_INCLUDE_DIRS=%{_includedir}/histedit.h \
%endif
%cmake_build

%install
%cmake_install
# install sample binaries (EXCLUDE_FROM_ALL in cmake, needs explicit component install)
DESTDIR=%{buildroot} cmake --install %{__cmake_builddir} --component samples_bin
mkdir -p %{buildroot}%{_libexecdir}/%{name}
mv %{buildroot}%{_prefix}/samples_bin/* %{buildroot}%{_libexecdir}/%{name}/
rmdir %{buildroot}%{_prefix}/samples_bin
# remove installed sample sources (available upstream)
rm -rf %{buildroot}%{_prefix}/samples
# generate python dist-info (setup.py removed upstream in 2025.4)
mkdir -p %{buildroot}/%{python3_sitearch}/%{name}-%{version}.dist-info
cat > %{buildroot}/%{python3_sitearch}/%{name}-%{version}.dist-info/METADATA << EOF
Metadata-Version: 2.1
Name: openvino
Version: %{version}
EOF
echo rpm > %{buildroot}/%{python3_sitearch}/%{name}-%{version}.dist-info/INSTALLER
# remove npu_elf build artifacts installed to wrong location
rm -rf %{buildroot}/usr/cid
rm -vf %{buildroot}/%{python3_sitearch}/requirements.txt
rm -vf %{buildroot}/%{python3_sitearch}/%{name}/preprocess/torchvision/requirements.txt
mkdir -p -m 755 %{buildroot}%{_datadir}/%{name}

%check
LD_LIBRARY_PATH=$LD_LIBRARY_PATH:%{buildroot}%{_libdir} PYTHONPATH=%{buildroot}%{python3_sitearch} %{python3} samples/python/hello_query_device/hello_query_device.py
LD_LIBRARY_PATH=$LD_LIBRARY_PATH:%{buildroot}%{_libdir} PYTHONPATH=%{buildroot}%{python3_sitearch} %{python3} samples/python/model_creation_sample/model_creation_sample.py samples/python/model_creation_sample/lenet.bin CPU
# onnx-tests
LD_LIBRARY_PATH=$LD_LIBRARY_PATH:%{buildroot}%{_libdir} PYTHONPATH=%{buildroot}%{python3_sitearch}:src/frontends/onnx %pytest -v src/frontends/onnx/tests/tests_python/test_frontend_onnx*

%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}
%if %{with npu}
%{_includedir}/npu_driver_compiler.h
%endif
%{_libdir}/lib%{name}.so
%{_libdir}/lib%{name}_c.so
%{_libdir}/lib%{name}_pytorch_frontend.so
%{_libdir}/lib%{name}_onnx_frontend.so
%{_libdir}/lib%{name}_paddle_frontend.so
%{_libdir}/lib%{name}_tensorflow_frontend.so
%{_libdir}/lib%{name}_tensorflow_lite_frontend.so
%{_libdir}/cmake/openvino-%{version}
%{_libdir}/pkgconfig/%{name}.pc

%files plugins
%dir %_libdir/%{name}-%{version}
%{_libdir}/%{name}-%{version}/lib%{name}_auto_plugin.so
%{_libdir}/%{name}-%{version}/lib%{name}_auto_batch_plugin.so
%{_libdir}/%{name}-%{version}/lib%{name}_hetero_plugin.so
%{_libdir}/%{name}-%{version}/lib%{name}_intel_cpu_plugin.so
%{_libdir}/%{name}-%{version}/lib%{name}_intel_gpu_plugin.so
%if %{with npu}
%{_libdir}/%{name}-%{version}/lib%{name}_intel_npu_plugin.so
%{_bindir}/compile_tool
%{_bindir}/protopipe
%{_bindir}/single-image-test
%endif
%{_datadir}/%{name}

%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 lib%{name}-onnx-frontend
%{_libdir}/lib%{name}_onnx_frontend.so.%{version}
%{_libdir}/lib%{name}_onnx_frontend.so.%{so_ver}

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

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

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

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

%files samples
%dir %{_libexecdir}/%{name}
%{_libexecdir}/%{name}/*

%files -n python3-%{name}
%{python3_sitearch}/%{name}
%{python3_sitearch}/%{name}-%{version}.dist-info

%changelog
%autochangelog