File openvino.spec of Package openvino

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File openvino.spec of Package openvino

#
# spec file for package openvino
#
# Copyright (c) 2024 SUSE LLC
# Copyright (c) 2024 Alessandro de Oliveira Faria (A.K.A. CABELO) <cabelo@opensuse.org> or <alessandro.faria@owasp.org>
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
# upon. The license for this file, and modifications and additions to the
# file, is the same license as for the pristine package itself (unless the
# license for the pristine package is not an Open Source License, in which
# case the license is the MIT License). An "Open Source License" is a
# license that conforms to the Open Source Definition (Version 1.9)
# published by the Open Source Initiative.

# Please submit bugfixes or comments via https://bugs.opensuse.org/
#

%define libversion 2400

Name:           openvino
Version:        2024.0.0
Release:        0
Summary:        OpenVINO™ Toolkit Loader
License:        Apache-2.0
URL:            https://github.com/openvinotoolkit/openvino
Source0:        %{url}/archive/%{version}.tar.gz
BuildRequires:  ade-devel
BuildRequires:  cmake
BuildRequires:  fdupes
BuildRequires:  gcc-c++
BuildRequires:  libva-devel
BuildRequires:  nlohmann_json-devel
BuildRequires:  ocl-icd-devel
BuildRequires:  opencl-cpp-headers
BuildRequires:  opencl-headers
BuildRequires:  pkgconfig
BuildRequires:  protobuf-devel
BuildRequires:  pugixml-devel
BuildRequires:  snappy-devel
BuildRequires:  tbb-devel
BuildRequires:  zlib-devel

%description
OpenVINO C / C++ Toolkit. OpenVINO™ is an open-source toolkit for optimizing
and deploying AI inference. This open-source version includes several
components: namely OpenVINO Model Converter (OVC), OpenVINO™ Runtime, as 
well as CPU, GPU, multi device and heterogeneous plugins to accelerate deep 
learning inference on Intel® CPUs and Intel® Processor Graphics. It supports
pre-trained models from Open Model Zoo, along with 100+ open source and 
public models in popular formats such as TensorFlow, ONNX, PaddlePaddle, 
MXNet, Caffe, Kaldi.

%package -n lib%{name}
Summary:        Intel OpenVINO™ Toolkit

%description -n lib%{name}
OpenVINO C / C++ Runtime libraries. OpenVINO™ is an open-source toolkit 
for optimizing and deploying AI inference. This open-source version includes
several components: namely OpenVINO Model Converter (OVC), OpenVINO™ Runtime,
as well as CPU, GPU, multi device and heterogeneous plugins to accelerate 
deep learning inference on Intel® CPUs and Intel® Processor Graphics. 
It supports pre-trained models from Open Model Zoo, along with 100+ open 
source and public models in popular formats such as TensorFlow, ONNX, 
PaddlePaddle, MXNet, Caffe, Kaldi.

%package  -n %{name}-devel
Summary:        Intel OpenVINO™ Toolkit
Requires:       %{name}-sample
Requires:       %{name}-auto-batch-plugin = %{version}
Requires:       %{name}-auto-plugin = %{version}
Requires:       %{name}-hetero-plugin = %{version}
Requires:       %{name}-intel-cpu-plugin = %{version}
Requires:       lib%{name}-ir-frontend = %{version}
Requires:       lib%{name}-onnx-frontend = %{version}
Requires:       lib%{name}-paddle-frontend = %{version}
Requires:       lib%{name}-pytorch-frontend = %{version}
Requires:       lib%{name}-tensorflow-frontend = %{version}
Requires:       lib%{name}-tensorflow_lite-frontend = %{version}

%description -n %{name}-devel
Intel(R) Distribution of OpenVINO(TM) Toolkit C / C++ Development files. 
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference.
This open-source version includes several components: namely OpenVINO Model 
Converter (OVC), OpenVINO™ Runtime, as well as CPU, GPU, multi device and 
heterogeneous plugins to accelerate deep learning inference on Intel® 
CPUs and Intel® Processor Graphics. It supports pre-trained models from 
Open Model Zoo, along with 100+ open source and public models in popular 
formats such as TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe, Kaldi.

%package -n %{name}-auto-batch-plugin
Summary:        Intel OpenVINO™ Toolkit
Requires:       lib%{name} = %{version} 
#Requires:       lib%{name}-%{version}

%description -n %{name}-auto-batch-plugin
OpenVINO Automatic Batching software plugin. OpenVINO™ is an open-source
toolkit for optimizing and deploying AI inference. This open-source version
includes several components: namely OpenVINO Model Converter (OVC), OpenVINO™
Runtime, as well as CPU, GPU, multi device and heterogeneous plugins to
accelerate deep learning inference on Intel® CPUs and Intel® Processor
Graphics. It supports pre-trained models from Open Model Zoo, along with 100+
open source and public models in popular formats such as TensorFlow, ONNX,
PaddlePaddle, MXNet, Caffe, Kaldi.

%package -n %{name}-auto-plugin
Summary:        Intel OpenVINO™ Toolkit
Requires:       lib%{name} = %{version}

%description -n %{name}-auto-plugin
OpenVINO Auto / Multi software plugin. OpenVINO™ is an open-source toolkit for
optimizing and deploying AI inference. This open-source version includes
several components: namely OpenVINO Model Converter (OVC), OpenVINO™ Runtime,
as well as CPU, GPU, multi device and heterogeneous plugins to accelerate deep
learning inference on Intel® CPUs and Intel® Processor Graphics. It supports
pre-trained models from Open Model Zoo, along with 100+ open source and public
models in popular formats such as TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe,
Kaldi.

%package -n %{name}-intel-cpu-plugin
Summary:        Intel OpenVINO™ Toolkit
Requires:       lib%{name} = %{version}

%description -n %{name}-intel-cpu-plugin
Intel® CPU inference plugin.  OpenVINO™ is an open-source toolkit for
optimizing and deploying AI inference. This open-source version includes
several components: namely OpenVINO Model Converter (OVC), OpenVINO™ Runtime,
as well as CPU, GPU, multi device and heterogeneous plugins to accelerate deep
learning inference on Intel® CPUs and Intel® Processor Graphics. It supports
pre-trained models from Open Model Zoo, along with 100+ open source and public
models in popular formats such as TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe,
Kaldi.

%package -n %{name}-hetero-plugin
Summary:        Intel OpenVINO™ Toolkit
Requires:       lib%{name} = %{version}

%description -n %{name}-hetero-plugin
OpenVINO Hetero software plugin. OpenVINO™ is an open-source toolkit for
optimizing and deploying AI inference. This open-source version includes
several components: namely OpenVINO Model Converter (OVC), OpenVINO™ Runtime,
as well as CPU, GPU, multi device and heterogeneous plugins to accelerate deep
learning inference on Intel® CPUs and Intel® Processor Graphics. It supports
pre-trained models from Open Model Zoo, along with 100+ open source and public
models in popular formats such as TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe,
Kaldi.

%package -n lib%{name}-onnx-frontend
Summary:        Intel OpenVINO™ Toolkit
Requires:       lib%{name} = %{version}

%description -n lib%{name}-onnx-frontend
OpenVINO ONNX Frontend. OpenVINO™ is an open-source toolkit for optimizing and
deploying AI inference. This open-source version includes several components:
namely OpenVINO Model Converter (OVC), OpenVINO™ Runtime, as well as CPU, GPU,
multi device and heterogeneous plugins to accelerate deep learning inference on
Intel® CPUs and Intel® Processor Graphics. It supports pre-trained models from
Open Model Zoo, along with 100+ open source and public models in popular
formats such as TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe, Kaldi.

%package -n lib%{name}-ir-frontend
Summary:        Intel OpenVINO™ Toolkit
Requires:       lib%{name} = %{version}

%description -n lib%{name}-ir-frontend
OpenVINO IR Frontend. OpenVINO™ is an open-source toolkit for optimizing and
deploying AI inference. This open-source version includes several components:
namely OpenVINO Model Converter (OVC), OpenVINO™ Runtime, as well as CPU, GPU,
multi device and heterogeneous plugins to accelerate deep learning inference on
Intel® CPUs and Intel® Processor Graphics. It supports pre-trained models from
Open Model Zoo, along with 100+ open source and public models in popular
formats such as TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe, Kaldi.

%package -n lib%{name}-paddle-frontend
Summary:        Intel OpenVINO™ Toolkit
Requires:       lib%{name} = %{version}

%description -n lib%{name}-paddle-frontend
OpenVINO Paddle Frontend. OpenVINO™ is an open-source toolkit for optimizing
and deploying AI inference. This open-source version includes several
components: namely OpenVINO Model Converter (OVC), OpenVINO™ Runtime, as well
as CPU, GPU, multi device and heterogeneous plugins to accelerate deep learning
inference on Intel® CPUs and Intel® Processor Graphics. It supports pre-trained
models from Open Model Zoo, along with 100+ open source and public models in
popular formats such as TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe, Kaldi.

%package -n lib%{name}-pytorch-frontend
Summary:        Intel OpenVINO™ Toolkit
Requires:       lib%{name} = %{version}

%description -n lib%{name}-pytorch-frontend
OpenVINO PyTorch Frontend. OpenVINO™ is an open-source toolkit for optimizing
and deploying AI inference. This open-source version includes several
components: namely OpenVINO Model Converter (OVC), OpenVINO™ Runtime, as well
as CPU, GPU, multi device and heterogeneous plugins to accelerate deep learning
inference on Intel® CPUs and Intel® Processor Graphics. It supports pre-trained
models from Open Model Zoo, along with 100+ open source and public models in
popular formats such as TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe, Kaldi.

%package -n lib%{name}-tensorflow-frontend
Summary:        Intel OpenVINO™ Toolkit
Requires:       lib%{name} = %{version}

%description -n lib%{name}-tensorflow-frontend
OpenVINO TensorFlow Frontend. OpenVINO™ is an open-source toolkit for
optimizing and deploying AI inference. This open-source version includes
several components: namely OpenVINO Model Converter (OVC), OpenVINO™ Runtime,
as well as CPU, GPU, multi device and heterogeneous plugins to accelerate deep
learning inference on Intel® CPUs and Intel® Processor Graphics. It supports
pre-trained models from Open Model Zoo, along with 100+ open source and public
models in popular formats such as TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe,
Kaldi.

%package -n lib%{name}-tensorflow_lite-frontend
Summary:        Intel OpenVINO™ Toolkit
Requires:       lib%{name} = %{version}

%description -n lib%{name}-tensorflow_lite-frontend
OpenVINO TensorFlow Lite Frontend. OpenVINO™ is an open-source toolkit for
optimizing and deploying AI inference. This open-source version includes
several components: namely OpenVINO Model Converter (OVC), OpenVINO™ Runtime,
as well as CPU, GPU, multi device and heterogeneous plugins to accelerate deep
learning inference on Intel® CPUs and Intel® Processor Graphics. It supports
pre-trained models from Open Model Zoo, along with 100+ open source and public
models in popular formats such as TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe,
Kaldi.

%package -n %{name}-sample
Summary:        Intel OpenVINO™ Toolkit
Requires:       lib%{name} = %{version} 
BuildArch:      noarch

%description -n %{name}-sample
Intel(R) Distribution of OpenVINO(TM) Toolkit C / C++ Samples. OpenVINO™ is an
open-source toolkit for optimizing and deploying AI inference. This open-source
version includes several components: namely OpenVINO Model Converter (OVC),
OpenVINO™ Runtime, as well as CPU, GPU, multi device and heterogeneous plugins
to accelerate deep learning inference on Intel® CPUs and Intel® Processor
Graphics. It supports pre-trained models from Open Model Zoo, along with 100+
open source and public models in popular formats such as TensorFlow, ONNX,
PaddlePaddle, MXNet, Caffe, Kaldi.

%prep
%setup -q

%build
%cmake \
      -DCMAKE_BUILD_TYPE=Release  \
      -DBUILD_SHARED_LIBS=ON -DENABLE_OV_ONNX_FRONTEND=ON \
      -DENABLE_OV_PADDLE_FRONTEND=ON  \
      -DENABLE_OV_PYTORCH_FRONTEND=ON -DENABLE_OV_IR_FRONTEND=ON \
      -DENABLE_OV_TF_FRONTEND=ON -DENABLE_OV_TF_LITE_FRONTEND=ON \
      -DENABLE_INTEL_GPU=OFF \
      -DENABLE_INTEL_GNA=OFF \
      -DENABLE_PYTHON=OFF -DENABLE_WHEEL=OFF \
      %{nil}
%cmake_build

%install
%cmake_install
mkdir %{buildroot}%{_libdir}
mkdir %{buildroot}%{_libdir}/pkgconfig
mkdir %{buildroot}%{_libdir}/cmake
mkdir %{buildroot}%{_libdir}/cmake/inferenceengine%{version}
mkdir %{buildroot}%{_libdir}/cmake/ngraph%{version}
mkdir %{buildroot}%{_libdir}/cmake/openvino%{version}
mkdir %{buildroot}%{_libdir}/openvino-%{version}
mkdir %{buildroot}%{_includedir}
mkdir -p %{buildroot}%{_datadir}/licenses/openvino
mkdir -p %{buildroot}%{_datadir}/openvino/samples/
mv %{buildroot}%{_prefix}/runtime/cmake/OpenVINOConfig-version.cmake %{buildroot}%{_libdir}/cmake/openvino%{version}
mv %{buildroot}%{_prefix}/runtime/cmake/OpenVINOConfig.cmake %{buildroot}%{_libdir}/cmake/openvino%{version}
mv %{buildroot}%{_prefix}/runtime/cmake/OpenVINOTargets-release.cmake %{buildroot}%{_libdir}/cmake/openvino%{version}
mv %{buildroot}%{_prefix}/runtime/cmake/OpenVINOTargets.cmake %{buildroot}%{_libdir}/cmake/openvino%{version}
mv %{buildroot}%{_prefix}/runtime/lib/intel64/pkgconfig/openvino.pc %{buildroot}%{_libdir}/pkgconfig
ls -l %{buildroot}%{_prefix}/runtime/lib/intel64/pkgconfig/
rmdir %{buildroot}%{_prefix}/runtime/lib/intel64/pkgconfig/
rm %{buildroot}%{_prefix}/install_dependencies/install_openvino_dependencies.sh
rm %{buildroot}%{_prefix}/setupvars.sh
rmdir %{buildroot}%{_prefix}/install_dependencies/
mv %{buildroot}%{_prefix}/runtime/include/* %{buildroot}%{_includedir}
mv %{buildroot}%{_prefix}/runtime/lib/intel64/*plugin* %{buildroot}%{_libdir}/openvino-%{version}/

mv %{buildroot}%{_prefix}/runtime/lib/intel64/* %{buildroot}%{_libdir}/
mv %{buildroot}%{_prefix}/samples/cpp %{buildroot}%{_datadir}/openvino/samples/
mv %{buildroot}%{_prefix}/samples/c %{buildroot}%{_datadir}/openvino/samples/
rm -rf %{buildroot}%{_prefix}/tools/deployment_manager
rm -rf %{buildroot}%{_prefix}/samples/python
cp /home/abuild/rpmbuild/BUILD/openvino-%{version}/LICENSE %{buildroot}%{_datadir}/licenses/openvino
mv %{buildroot}%{_prefix}/licenses/runtime-third-party-programs.txt %{buildroot}%{_datadir}/licenses/openvino
mv %{buildroot}%{_prefix}/licenses/onednn_third-party-programs.txt %{buildroot}%{_datadir}/licenses/openvino
mv %{buildroot}%{_prefix}/licenses/onetbb_third-party-programs.txt %{buildroot}%{_datadir}/licenses/openvino

sed -i  "s/\${_IMPORT_PREFIX}\/runtime\//\/usr\//g" %{buildroot}%{_libdir}/cmake/openvino%{version}/OpenVINOTargets.cmake
sed -i  "s/\/runtime\/lib\/intel64//g" %{buildroot}%{_libdir}/cmake/openvino%{version}/OpenVINOTargets-release.cmake
sed -i  "s/\/runtime\/lib\/intel64//g" %{buildroot}%{_libdir}/pkgconfig/openvino.pc
sed -i  "s/runtime\/include/include/g" %{buildroot}%{_libdir}/pkgconfig/openvino.pc
sed -i  "s/\/ie/\/include\/ie/g" %{buildroot}%{_libdir}/pkgconfig/openvino.pc

rm -rf %{buildroot}/home/abuild/rpmbuild/BUILD/openvino-%{version}/openvino_dist/*

%post  -n lib%{name} -p /sbin/ldconfig
%postun -n lib%{name} -p /sbin/ldconfig
%post  -n lib%{name}-onnx-frontend -p /sbin/ldconfig
%postun -n lib%{name}-onnx-frontend -p /sbin/ldconfig
%post  -n lib%{name}-ir-frontend -p /sbin/ldconfig
%postun -n lib%{name}-ir-frontend -p /sbin/ldconfig
%post  -n lib%{name}-paddle-frontend -p /sbin/ldconfig
%postun -n lib%{name}-paddle-frontend -p /sbin/ldconfig
%post  -n lib%{name}-pytorch-frontend -p /sbin/ldconfig
%postun -n lib%{name}-pytorch-frontend -p /sbin/ldconfig
%post  -n lib%{name}-tensorflow-frontend -p /sbin/ldconfig
%postun -n lib%{name}-tensorflow-frontend -p /sbin/ldconfig
%post  -n lib%{name}-tensorflow_lite-frontend -p /sbin/ldconfig
%postun -n lib%{name}-tensorflow_lite-frontend -p /sbin/ldconfig

%files
%{_licensedir}/%{name}/
%{_licensedir}/openvino/*

%files -n lib%{name}
%{_libdir}/libopenvino.so.%{version}
%{_libdir}/libopenvino.so.%{libversion}
%{_libdir}/libopenvino_c.so.%{version}
%{_libdir}/libopenvino_c.so.%{libversion}

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

%files -n %{name}-auto-plugin
%{_libdir}/%{name}-%{version}/libopenvino_auto_plugin.so

%files -n %{name}-intel-cpu-plugin
%{_libdir}/%{name}-%{version}/libopenvino_intel_cpu_plugin.so

%files -n %{name}-hetero-plugin
%{_libdir}/%{name}-%{version}/libopenvino_hetero_plugin.so

%files -n lib%{name}-onnx-frontend
%{_libdir}/libopenvino_onnx_frontend.so.%{version}
%{_libdir}/libopenvino_onnx_frontend.so.%{libversion}

%files -n lib%{name}-ir-frontend
%{_libdir}/libopenvino_ir_frontend.so.%{version}
%{_libdir}/libopenvino_ir_frontend.so.%{libversion}

%files -n lib%{name}-paddle-frontend
%{_libdir}/libopenvino_paddle_frontend.so.%{version}
%{_libdir}/libopenvino_paddle_frontend.so.%{libversion}

%files -n lib%{name}-pytorch-frontend
%{_libdir}/libopenvino_pytorch_frontend.so.%{version}
%{_libdir}/libopenvino_pytorch_frontend.so.%{libversion}

%files -n lib%{name}-tensorflow-frontend
%{_libdir}/libopenvino_tensorflow_frontend.so.%{version}
%{_libdir}/libopenvino_tensorflow_frontend.so.%{libversion}

%files -n lib%{name}-tensorflow_lite-frontend
%{_libdir}/libopenvino_tensorflow_lite_frontend.so.%{version}
%{_libdir}/libopenvino_tensorflow_lite_frontend.so.%{libversion}

%files -n %{name}-sample
%{_datadir}/%{name}/

%files -n %{name}-devel
%{_includedir}/%{name}
%{_libdir}/cmake/inferenceengine%{version}
%{_libdir}/cmake/ngraph%{version}
%{_libdir}/cmake/openvino%{version}
%{_libdir}/*.so
%{_libdir}/pkgconfig/openvino.pc

%changelog

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