pool/openvino
SHA256
3
0
Fork 1
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
devel
openvino/openvino.spec
Guillaume GARDET 6f04946ce8 - openvino-onnx-ml-defines.patch and 
openvino-remove-npu-compile-tool.patchhas been removed 
  as it is no longer needed in this version. 
- Update to 2024.4.0
- Summary of major features and improvements  
  * OpenVINO 2024.6 release includes updates for enhanced 
    stability and improved LLM performance.
  * Introduced support for Intel® Arc™ B-Series Graphics 
    (formerly known as Battlemage).
  * Implemented optimizations to improve the inference time and 
    LLM performance on NPUs.
  * Improved LLM performance with GenAI API optimizations and 
    bug fixes.
- Support Change and Deprecation Notices
  * Using deprecated features and components is not advised. They
    are available to enable a smooth transition to new solutions 
    and will be discontinued in the future. To keep using 
    discontinued features, you will have to revert to the last 
    LTS OpenVINO version supporting them. For more details, refer
    to the OpenVINO Legacy Features and Components page.
  * Discontinued in 2024.0:
    + Runtime components:
      - Intel® Gaussian & Neural Accelerator (Intel® GNA)..
        Consider using the Neural Processing Unit (NPU) for 
        low-powered systems like Intel® Core™ Ultra or 14th 
        generation and beyond.
      - OpenVINO C++/C/Python 1.0 APIs (see 2023.3 API transition
        guide for reference).
      - All ONNX Frontend legacy API (known as ONNX_IMPORTER_API)
      - 'PerfomanceMode.UNDEFINED' property as part of the 
        OpenVINO Python API
    + Tools:
      - Deployment Manager. See installation and deployment 
        guides for current distribution options.
      - Accuracy Checker.
      - Post-Training Optimization Tool (POT). Neural Network
        Compression Framework (NNCF) should be used instead.
      - A Git patch for NNCF integration with 
        huggingface/transformers. The recommended approach is
        to use huggingface/optimum-intel for applying NNCF
        optimization on top of models from Hugging Face.
      - Support for Apache MXNet, Caffe, and Kaldi model formats.
        Conversion to ONNX may be used as a solution.
  * Deprecated and to be removed in the future:
    + The macOS x86_64 debug bins will no longer be provided 
      with the OpenVINO toolkit, starting with OpenVINO 2024.5.
    + Python 3.8 is no longer supported, starting with 
      OpenVINO 2024.5.
    + As MxNet doesn’t support Python version higher than 3.8,
      according to the MxNet PyPI project, it is no longer 
      supported by OpenVINO, either.
    + Discrete Keem Bay support is no longer supported, starting
      with OpenVINO 2024.5.
    + Support for discrete devices (formerly codenamed Raptor 
      Lake) is no longer available for NPU.

OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/openvino?expand=0&rev=23
2025-01-07 17:14:03 +00:00

437 lines
15 KiB
RPMSpec
Raw Permalink Blame History

#
# 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/
#
%if 0%{?suse_version} < 1600
%define isLeap15 %nil
%else
%undefine isLeap15
%endif
# Compilation takes ~1 hr on OBS for a single python, don't try all supported flavours
%if %{defined isLeap15}
%define x86_64 x86_64
%define pythons python311
%else
%define pythons python3
%endif
%define __builder ninja
%define so_ver 2460
%define shlib lib%{name}%{so_ver}
%define shlib_c lib%{name}_c%{so_ver}
%define prj_name OpenVINO
Name: openvino
Version: 2024.6.0
Release: 0
Summary: A toolkit for optimizing and deploying AI inference
# Let's be safe and put all third party licenses here, no matter that we use specific thirdparty libs or not
License: Apache-2.0 AND BSD-2-Clause AND BSD-3-Clause AND HPND AND JSON AND MIT AND OFL-1.1 AND Zlib
URL: https://github.com/openvinotoolkit/openvino
Source0: %{name}-%{version}.tar.zst
Source1: %{name}-rpmlintrc
# PATCH-FEATURE-OPENSUSE openvino-fix-install-paths.patch badshah400@gmail.com -- Fix installation paths hardcoded into upstream defined cmake macros
Patch0: openvino-fix-install-paths.patch
# PATCH-FIX-UPSTREAM openvino-ComputeLibrary-include-string.patch badshah400@gmail.com -- Include header for std::string
Patch1: openvino-ComputeLibrary-include-string.patch
# PATCH-FIX-UPSTREAM openvino-fix-build-sample-path.patch cabelo@opensuse.org -- Fix sample source path in build script
Patch2: openvino-fix-build-sample-path.patch
BuildRequires: ade-devel
BuildRequires: cmake
BuildRequires: fdupes
BuildRequires: gcc13-c++
BuildRequires: ninja
BuildRequires: opencl-cpp-headers
# FIXME: /usr/include/onnx/onnx-ml.pb.h:17:2: error: This file was generated by
# an older version of protoc which is incompatible with your Protocol Buffer
# headers. Please regenerate this file with a newer version of protoc.
#BuildRequires: cmake(ONNX)
BuildRequires: pkgconfig
BuildRequires: %{python_module devel}
BuildRequires: %{python_module pip}
BuildRequires: %{python_module pybind11-devel}
BuildRequires: %{python_module setuptools}
BuildRequires: %{python_module wheel}
BuildRequires: python-rpm-macros
BuildRequires: zstd
BuildRequires: pkgconfig(flatbuffers)
BuildRequires: pkgconfig(libva)
BuildRequires: pkgconfig(nlohmann_json)
BuildRequires: pkgconfig(ocl-icd)
BuildRequires: pkgconfig(protobuf) < 22
BuildRequires: pkgconfig(pugixml)
%if %{defined isLeap15}
BuildRequires: opencl-headers
BuildRequires: snappy-devel
BuildRequires: tbb-devel
%else
BuildRequires: pkgconfig(OpenCL-Headers)
BuildRequires: pkgconfig(snappy)
BuildRequires: pkgconfig(tbb)
%endif
BuildRequires: pkgconfig(zlib)
%ifarch %{arm64}
BuildRequires: scons
%endif
# No 32-bit support
ExcludeArch: %{ix86} %{arm32} ppc
%define python_subpackage_only 1
%python_subpackages
%description
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
%package -n %{shlib}
Summary: Shared library for OpenVINO toolkit
%description -n %{shlib}
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides the shared library for OpenVINO.
%package -n %{shlib_c}
Summary: Shared C library for OpenVINO toolkit
%description -n %{shlib_c}
This package provides the C library for OpenVINO.
%package -n %{name}-devel
Summary: Headers and sources for OpenVINO toolkit
Requires: %{shlib_c} = %{version}
Requires: %{shlib} = %{version}
Requires: lib%{name}_ir_frontend%{so_ver} = %{version}
Requires: lib%{name}_onnx_frontend%{so_ver} = %{version}
Requires: lib%{name}_paddle_frontend%{so_ver} = %{version}
Requires: lib%{name}_pytorch_frontend%{so_ver} = %{version}
Requires: lib%{name}_tensorflow_frontend%{so_ver} = %{version}
Requires: lib%{name}_tensorflow_lite_frontend%{so_ver} = %{version}
Requires: pkgconfig(flatbuffers)
Requires: pkgconfig(libva)
Requires: pkgconfig(nlohmann_json)
Requires: pkgconfig(ocl-icd)
Requires: pkgconfig(protobuf)
Requires: pkgconfig(pugixml)
%if %{defined isLeap15}
Requires: opencl-headers
Requires: snappy-devel
Requires: tbb-devel
%else
Requires: pkgconfig(OpenCL-Headers)
Requires: pkgconfig(snappy)
Requires: pkgconfig(tbb)
%endif
Recommends: %{name}-auto-batch-plugin = %{version}
Recommends: %{name}-auto-plugin = %{version}
Recommends: %{name}-hetero-plugin = %{version}
Recommends: %{name}-intel-cpu-plugin = %{version}
%ifarch riscv64
Recommends: %{name}-riscv-cpu-plugin = %{version}
%endif
%description -n %{name}-devel
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides the headers and sources for developing applications with
OpenVINO.
%package -n %{name}-arm-cpu-plugin
Summary: Intel CPU plugin for OpenVINO toolkit
%description -n %{name}-arm-cpu-plugin
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides the ARM CPU plugin for OpenVINO on %{arm64} archs.
%package -n %{name}-riscv-cpu-plugin
Summary: RISC-V CPU plugin for OpenVINO toolkit
%description -n %{name}-riscv-cpu-plugin
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides the RISC-V CPU plugin for OpenVINO on riscv64 archs.
%package -n %{name}-auto-plugin
Summary: Auto / Multi software plugin for OpenVINO toolkit
%description -n %{name}-auto-plugin
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides the Auto / Multi software plugin for OpenVINO.
%package -n %{name}-auto-batch-plugin
Summary: Automatic batch software plugin for OpenVINO toolkit
%description -n %{name}-auto-batch-plugin
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides the automatic batch software plugin for OpenVINO.
%package -n %{name}-hetero-plugin
Summary: Hetero frontend for Intel OpenVINO toolkit
%description -n %{name}-hetero-plugin
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides the hetero frontend for OpenVINO.
%package -n %{name}-intel-cpu-plugin
Summary: Intel CPU plugin for OpenVINO toolkit
%description -n %{name}-intel-cpu-plugin
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides the intel CPU plugin for OpenVINO for %{x86_64} archs.
%package -n %{name}-intel-npu-plugin
Summary: Intel NPU plugin for OpenVINO toolkit
%description -n %{name}-intel-npu-plugin
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides the intel NPU plugin for OpenVINO for %{x86_64} archs.
%package -n lib%{name}_ir_frontend%{so_ver}
Summary: Paddle frontend for Intel OpenVINO toolkit
%description -n lib%{name}_ir_frontend%{so_ver}
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides the ir frontend for OpenVINO.
%package -n lib%{name}_onnx_frontend%{so_ver}
Summary: Onnx frontend for OpenVINO toolkit
%description -n lib%{name}_onnx_frontend%{so_ver}
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides the onnx frontend for OpenVINO.
%package -n lib%{name}_paddle_frontend%{so_ver}
Summary: Paddle frontend for Intel OpenVINO toolkit
%description -n lib%{name}_paddle_frontend%{so_ver}
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides the paddle frontend for OpenVINO.
%package -n lib%{name}_pytorch_frontend%{so_ver}
Summary: PyTorch frontend for OpenVINO toolkit
%description -n lib%{name}_pytorch_frontend%{so_ver}
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides the pytorch frontend for OpenVINO.
%package -n lib%{name}_tensorflow_frontend%{so_ver}
Summary: TensorFlow frontend for OpenVINO toolkit
%description -n lib%{name}_tensorflow_frontend%{so_ver}
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides the tensorflow frontend for OpenVINO.
%package -n lib%{name}_tensorflow_lite_frontend%{so_ver}
Summary: TensorFlow Lite frontend for OpenVINO toolkit
%description -n lib%{name}_tensorflow_lite_frontend%{so_ver}
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides the tensorflow-lite frontend for OpenVINO.
%package -n python-openvino
Summary: Python module for openVINO toolkit
Requires: python-numpy < 2
Requires: python-openvino-telemetry
%description -n python-openvino
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides a Python module for interfacing with openVINO toolkit.
%package -n %{name}-sample
Summary: Samples for use with OpenVINO toolkit
BuildArch: noarch
%description -n %{name}-sample
OpenVINO is an open-source toolkit for optimizing and deploying AI inference.
This package provides some samples for use with openVINO.
%prep
%autosetup -p1
%build
export CC=gcc-13 CXX=g++-13
# Otherwise intel_cpu plugin declares an executable stack
%ifarch %{x86_64}
%define build_ldflags -Wl,-z,noexecstack
%endif
%cmake \
-DCMAKE_CXX_STANDARD=17 \
-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_JS=OFF \
-DENABLE_PYTHON=ON \
-DENABLE_WHEEL=OFF \
-DENABLE_SYSTEM_OPENCL=ON \
-DENABLE_SYSTEM_PROTOBUF=ON \
-DENABLE_SYSTEM_PUGIXML=ON \
-DENABLE_SYSTEM_SNAPPY=ON \
-DENABLE_SYSTEM_TBB=ON \
%if %{defined isLeap15}
-DENABLE_TBBBIND_2_5=OFF \
%endif
-DONNX_USE_PROTOBUF_SHARED_LIBS=ON \
-DProtobuf_USE_STATIC_LIBS=OFF \
%{nil}
%cmake_build
# Manually generate dist-info dir
export WHEEL_VERSION=%{version} \
BUILD_TYPE=RelWithDebInfo
%ifarch %{power64}
# RelWithDebInfo
# Manual hackery for power64 because it not "officially" supported
sed -i "s/{ARCH}/%{_arch}/" ../src/bindings/python/wheel/setup.py
%endif
%python_exec ../src/bindings/python/wheel/setup.py dist_info -o ../
%install
%cmake_install
# Hash-bangs in non-exec python sample scripts
sed -Ei "1{\@/usr/bin/env@d}" \
%{buildroot}%{_datadir}/%{prj_name}/samples/python/benchmark/bert_benchmark/bert_benchmark.py \
%{buildroot}%{_datadir}/%{prj_name}/samples/python/benchmark/sync_benchmark/sync_benchmark.py \
%{buildroot}%{_datadir}/%{prj_name}/samples/python/benchmark/throughput_benchmark/throughput_benchmark.py \
%{buildroot}%{_datadir}/%{prj_name}/samples/python/classification_sample_async/classification_sample_async.py \
%{buildroot}%{_datadir}/%{prj_name}/samples/python/hello_classification/hello_classification.py \
%{buildroot}%{_datadir}/%{prj_name}/samples/python/hello_query_device/hello_query_device.py \
%{buildroot}%{_datadir}/%{prj_name}/samples/python/hello_reshape_ssd/hello_reshape_ssd.py \
%{buildroot}%{_datadir}/%{prj_name}/samples/python/model_creation_sample/model_creation_sample.py
# Unnecessary if we get our package dependencies and lib paths right!
rm -fr %{buildroot}%{_prefix}/install_dependencies \
%{buildroot}%{_prefix}/setupvars.sh
%{python_expand rm %{buildroot}%{$python_sitearch}/requirements.txt
chmod -x %{buildroot}%{$python_sitearch}/%{name}/tools/ovc/ovc.py
cp -r %{name}-%{version}.dist-info %{buildroot}%{$python_sitearch}/
%fdupes %{buildroot}%{$python_sitearch}/%{name}/
}
%fdupes %{buildroot}%{_datadir}/
# We do not use bundled thirdparty libs
rm -fr %{buildroot}%{_datadir}/licenses/*
%ldconfig_scriptlets -n %{shlib}
%ldconfig_scriptlets -n %{shlib_c}
%ldconfig_scriptlets -n lib%{name}_ir_frontend%{so_ver}
%ldconfig_scriptlets -n lib%{name}_onnx_frontend%{so_ver}
%ldconfig_scriptlets -n lib%{name}_paddle_frontend%{so_ver}
%ldconfig_scriptlets -n lib%{name}_pytorch_frontend%{so_ver}
%ldconfig_scriptlets -n lib%{name}_tensorflow_lite_frontend%{so_ver}
%ldconfig_scriptlets -n lib%{name}_tensorflow_frontend%{so_ver}
%files -n %{shlib}
%license LICENSE
%{_libdir}/libopenvino.so.*
%files -n %{shlib_c}
%license LICENSE
%{_libdir}/libopenvino_c.so.*
%files -n %{name}-auto-batch-plugin
%dir %{_libdir}/%{prj_name}
%{_libdir}/%{prj_name}/libopenvino_auto_batch_plugin.so
%files -n %{name}-auto-plugin
%dir %{_libdir}/%{prj_name}
%{_libdir}/%{prj_name}/libopenvino_auto_plugin.so
%ifarch %{x86_64}
%files -n %{name}-intel-cpu-plugin
%dir %{_libdir}/%{prj_name}
%{_libdir}/%{prj_name}/libopenvino_intel_cpu_plugin.so
%files -n %{name}-intel-npu-plugin
%dir %{_libdir}/%{prj_name}
%{_libdir}/%{prj_name}/libopenvino_intel_npu_plugin.so
%endif
%ifarch %{arm64}
%files -n %{name}-arm-cpu-plugin
%dir %{_libdir}/%{prj_name}
%{_libdir}/%{prj_name}/libopenvino_arm_cpu_plugin.so
%endif
%ifarch riscv64
%files -n %{name}-riscv-cpu-plugin
%dir %{_libdir}/%{prj_name}
%{_libdir}/%{prj_name}/libopenvino_riscv_cpu_plugin.so
%endif
%files -n %{name}-hetero-plugin
%dir %{_libdir}/%{prj_name}
%{_libdir}/%{prj_name}/libopenvino_hetero_plugin.so
%files -n lib%{name}_onnx_frontend%{so_ver}
%{_libdir}/libopenvino_onnx_frontend.so.*
%files -n lib%{name}_ir_frontend%{so_ver}
%{_libdir}/libopenvino_ir_frontend.so.*
%files -n lib%{name}_paddle_frontend%{so_ver}
%{_libdir}/libopenvino_paddle_frontend.so.*
%files -n lib%{name}_pytorch_frontend%{so_ver}
%{_libdir}/libopenvino_pytorch_frontend.so.*
%files -n lib%{name}_tensorflow_frontend%{so_ver}
%{_libdir}/libopenvino_tensorflow_frontend.so.*
%files -n lib%{name}_tensorflow_lite_frontend%{so_ver}
%{_libdir}/libopenvino_tensorflow_lite_frontend.so.*
%files -n %{name}-sample
%license LICENSE
%{_datadir}/%{prj_name}/
%exclude %{_prefix}/lib/debug/usr/share/OpenVINO/tools/compile_tool/
%files -n %{name}-devel
%license LICENSE
%{_includedir}/%{name}/
%{_libdir}/cmake/%{prj_name}/
%{_libdir}/*.so
%{_libdir}/pkgconfig/openvino.pc
%files %{python_files openvino}
%license LICENSE
%{python_sitearch}/openvino/
%{python_sitearch}/openvino*-info/
%changelog
Reference in New Issue View Git Blame Copy Permalink