## START: Set by rpmautospec ## (rpmautospec version 0.7.3) ## RPMAUTOSPEC: autorelease, autochangelog %define autorelease(e:s:pb:n) %{?-p:0.}%{lua: release_number = 2; base_release_number = tonumber(rpm.expand("%{?-b*}%{!?-b:1}")); print(release_number + base_release_number - 1); }%{?-e:.%{-e*}}%{?-s:.%{-s*}}%{!?-n:%{?dist}} ## END: Set by rpmautospec %define so_ver 2450 %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: 2024.5.0 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-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: https://github.com/openvinotoolkit/oneDNN/archive/c60a9946aa2386890e5c9f5587974facb7624227/onednn-c60a994.tar.gz Source2: https://github.com/openvinotoolkit/mlas/archive/d1bc25ec4660cddd87804fcf03b2411b5dfb2e94/mlas-d1bc25e.tar.gz Source3: dependencies.cmake Source4: pyproject.toml Patch0: openvino-fedora.patch # Support numpy 2.2.0 Patch1: https://github.com/openvinotoolkit/openvino/pull/28039.patch ExclusiveArch: x86_64 BuildRequires: cmake BuildRequires: gcc-c++ BuildRequires: patchelf BuildRequires: pugixml-devel BuildRequires: pybind11-devel BuildRequires: python3-devel BuildRequires: python3-pip BuildRequires: python3-setuptools BuildRequires: python3-wheel BuildRequires: numpy BuildRequires: ShellCheck BuildRequires: zlib-ng-compat-devel BuildRequires: xbyak-devel BuildRequires: tbb-devel # forked version of OpenVINO oneDNN does not have a proper version Provides: bundled(onednn) # MLAS upstream does not have any release Provides: bundled(mlas) Requires: lib%{name}-ir-frontend = %{version} Requires: lib%{name}-pytorch-frontend = %{version} Requires: numpy 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 Requires: %{name}%{?_isa} = %{version}-%{release} %description plugins The OpenVINO plugins package provides support for various hardware devices. It includes plugins for auto, auto_batch, hetero, intel_cpu and template. %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 # python:prep sed -i '/openvino-telemetry/d' src/bindings/python/requirements.txt cp %{SOURCE4} src/bindings/python %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_INTEL_NPU=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 \ -DPython3_EXECUTABLE=%{python3} \ -DENABLE_WHEEL=OFF \ -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 # generate python dist-info export WHEEL_VERSION=%{version} %{python3} src/bindings/python/wheel/setup.py dist_info -o %{buildroot}/%{python3_sitearch} rm -v %{buildroot}/%{python3_sitearch}/requirements.txt rm -v %{buildroot}/%{python3_sitearch}/%{name}/preprocess/torchvision/requirements.txt %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 %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 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 %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} %{python3_sitearch}/%{name}-%{version}.dist-info %changelog ## START: Generated by rpmautospec * Thu Dec 19 2024 Orion Poplawski - 2024.5.0-2 - Apply upstream patch for numpy 2.2 support * Thu Nov 28 2024 Ali Erdinc Koroglu - 2024.5.0-1 - 1st release ## END: Generated by rpmautospec