File onnxruntime.spec of Package onnxruntime
#
# spec file for package onnxruntime
#
# Copyright (c) 2024 SUSE LLC
#
# 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 cpuinfo_ver ca67895
%define onnx_ver 1.16.1
%define safeint_ver 3.0.28
%define eigen_ver e7248b26
%define so_suffix 1_19_2
%if 0%{?gcc_version} < 12
%define with_gcc 12
%endif
%bcond_with check
%bcond_with test
%{?sle15_python_module_pythons}
Name: onnxruntime
Version: 1.19.2
Release: 0
Summary: Cross-platform, high performance ML inferencing and training accelerator
License: MIT AND Apache-2.0 AND MPL-2.0 AND BSD-3-Clause
URL: https://github.com/microsoft/onnxruntime/
Source0: %{name}-%{version}.tar.xz
Source5: onnx-%{onnx_ver}.tar.xz
Source7: safeint-%{safeint_ver}.tar.xz
Source9: eigen-%{eigen_ver}.tar.xz
Patch0: onnxruntime-dont-install-tests.patch
Patch1: onnxruntime-system-flatbuffers.patch
Patch2: onnxruntime-system-protobuf.patch
Patch3: onnxruntime-disable-power10.patch
Patch4: onnxruntime-disable-wil.patch
Patch5: onnxruntime-system-abseil.patch
Patch6: onnxruntime-no-nsync.patch
Patch7: onnxruntime-system-boost-and-date.patch
Patch8: onnxruntime-exact-python-version.patch
Patch9: onnxruntime-fetch-remaining-deps.patch
Patch10: onnxruntime-fix-missing-cstring-include.patch
Patch11: onnxruntime-fix-cxx20-template-construction.patch
Patch12: onnxruntime-gcc-ignore-warnings.patch
Patch13: onnxruntime-fix-std-variant.patch
Patch14: onnxruntime-fix-string-conversion.patch
Patch15: onnxruntime-disable-torch-tests.patch
Patch16: onnxruntime-fix-flatbuffers-test.patch
# Patch16: onnxruntime-system-cpuinfo.patch
# ensure pybind11 integration doesn't allow code execution from stack
Patch20: onnxruntime-pybind11_state-noexecstack.patch
# fully version the onnxruntime library's soname
Patch21: onnxruntime-soname.patch
# add versioned soname support to providers library
Patch22: versioned-onnxruntime_providers_shared.patch
BuildRequires: %{python_module devel}
BuildRequires: %{python_module numpy-devel}
BuildRequires: %{python_module numpy}
BuildRequires: %{python_module packaging}
BuildRequires: %{python_module pip}
BuildRequires: %{python_module pybind11-devel}
BuildRequires: %{python_module pytest}
BuildRequires: %{python_module setuptools}
BuildRequires: %{python_module sympy}
BuildRequires: %{python_module wheel}
%if %{with test} || %{with check}
BuildRequires: %{python_module psutil}
BuildRequires: googletest-devel
BuildRequires: googlemock-devel
%endif
BuildRequires: hhdate-devel
BuildRequires: cmake
BuildRequires: ninja
BuildRequires: fdupes
# at least gcc version 9
BuildRequires: gcc%{?with_gcc}-c++
BuildRequires: libtool
%if 0%{?with_gcc}
BuildRequires: abseil-cpp-devel-gcc12 >= 20240116
%else
BuildRequires: cmake(absl) >= 20240116
%endif
# BuildRequires: cmake(cpuinfo)
BuildRequires: ms-gsl-devel
BuildRequires: nlohmann_json-devel
BuildRequires: protobuf-devel = 21.12
BuildRequires: flatbuffers-devel >= 23.5.9
BuildRequires: re2-devel
BuildRequires: (cmake(date) >= 3.0.0 and cmake(date) < 4.0.0)
BuildRequires: libboost_headers-devel-impl >= 1.79.0
# BuildRequires: eigen3-devel >= 1.34
BuildRequires: pkgconfig
BuildRequires: python-rpm-macros
BuildRequires: pkgconfig(libpng)
BuildRequires: pkgconfig(zlib)
Requires(post): update-alternatives
Requires(postun): update-alternatives
%python_subpackages
%description
ONNX Runtime is a performance-focused scoring engine for Open Neural Network
Exchange (ONNX) models. For more information on ONNX Runtime, please see
<https://aka.ms/onnxruntime/> or <https://github.com/microsoft/onnxruntime/>.
%package -n lib%{name}%{so_suffix}
Summary: Cross-platform, high performance ML inferencing and training accelerator
%description -n lib%{name}%{so_suffix}
ONNX Runtime is a performance-focused scoring engine for Open Neural Network
Exchange (ONNX) models. For more information on ONNX Runtime, please see
<https://aka.ms/onnxruntime/> or <https://github.com/microsoft/onnxruntime/>.
%package -n %{name}-devel
Summary: Development files for %{name}
Requires: lib%{name}%{so_suffix} = %{version}
%description -n %{name}-devel
Development headers and libraries for ONNX Runtime. For more information on
ONNX Runtime, please see <https://aka.ms/onnxruntime/> or
<https://github.com/microsoft/onnxruntime/>.
%if %{with test}
%package -n %{name}-test
Summary: Test tools for %{name}
Requires: %{name}-devel = %{version}
%description -n %{name}-test
Testing tools for ONNX Runtime For more information on ONNX Runtime, please
see <https://aka.ms/onnxruntime/> or <https://github.com/microsoft/onnxruntime/>.
%endif
%prep
%autosetup -p1
sed -i -e '/FIND_PACKAGE_ARGS 20240116 NAMES absl/d' cmake/external/abseil-cpp.cmake
mkdir -p cmake/deps
tar xf %{SOURCE5} -C cmake/deps
tar xf %{SOURCE7} -C cmake/deps
tar xf %{SOURCE9} -C cmake/deps
shebang_files=""
shebang_files+="onnxruntime/python/tools/quantization/calibrate.py "
shebang_files+="tools/python/util/convert_onnx_models_to_ort.py "
shebang_files+="tools/python/util/make_dynamic_shape_fixed.py "
shebang_files+="tools/python/util/optimize_onnx_model.py "
shebang_files+="tools/python/util/qdq_helpers/optimize_qdq_model.py "
shebang_files+="tools/python/util/update_onnx_opset.py "
for s in ${shebang_files}
do
echo "[Removing shebang line for ${s}]"
sed -i -e '/^#![/]usr[/]bin[/]env python3/d' ${s}
done
%build
%global _lto_cflags %{_lto_cflags} -ffat-lto-objects
%if 0%{?with_gcc}
export CXX=g++-%{with_gcc}
export CC=gcc-%{with_gcc}
%endif
# construct cmake opts list
_cmake_opts=""
# cmake general settings
_cmake_opts+="-DBUILD_SHARED_LIBS:BOOL=OFF "
# FetchContent offline mode settings
_cmake_opts+="-DFETCHCONTENT_FULLY_DISCONNECTED=ON "
_cmake_opts+="-DFETCHCONTENT_QUIET=OFF "
_cmake_opts+="-DFETCHCONTENT_TRY_FIND_PACKAGE_MODE=ALWAYS "
# FetchContent Source Dir overrides
_cmake_opts+="-DFETCHCONTENT_SOURCE_DIR_ONNX=%{_builddir}/%{name}-%{version}/cmake/deps/onnx-%{onnx_ver} "
_cmake_opts+="-DFETCHCONTENT_SOURCE_DIR_SAFEINT=%{_builddir}/%{name}-%{version}/cmake/deps/safeint-%{safeint_ver} "
_cmake_opts+="-DFETCHCONTENT_SOURCE_DIR_EIGEN=%{_builddir}/%{name}-%{version}/cmake/deps/eigen-%{eigen_ver} "
# onnxruntime settings
_cmake_opts+="-Donnxruntime_DISABLE_ABSEIL=ON "
_cmake_opts+="-Donnxruntime_ENABLE_CPUINFO=OFF "
_cmake_opts+="-Donnxruntime_ENABLE_PYTHON=ON "
_cmake_opts+="-Donnxruntime_BUILD_SHARED_LIB=ON "
_cmake_opts+="-Donnxruntime_BUILD_BENCHMARKS=OFF "
_cmake_opts+="-Donnxruntime_USE_FULL_PROTOBUF=ON "
_cmake_opts+="-DONNX_CUSTOM_PROTOC_EXECUTABLE=%{_bindir}/protoc "
# testing related options
%if %{with test} || %{with check}
_cmake_opts+="-Donnxruntime_BUILD_UNIT_TESTS=ON "
%else
_cmake_opts+="-Donnxruntime_BUILD_UNIT_TESTS=OFF "
%endif
%if %{with test}
_cmake_opts+="-Donnxruntime_INSTALL_UNIT_TESTS=ON "
%else
_cmake_opts+="-Donnxruntime_INSTALL_UNIT_TESTS=OFF "
%endif
# use eigen3 preinstalled sources - currently doesn't work
#_cmake_opts+="-Donnxruntime_USE_PREINSTALLED_EIGEN=ON "
#_cmake_opts+="-Deigen_SOURCE_PATH=/usr/include/eigen3 "
%define __builder ninja
%define __sourcedir cmake
%define py_setup ../../setup.py
%{python_expand #
# Re-generate flatbuffer headers
$python onnxruntime/core/flatbuffers/schema/compile_schema.py --flatc %{_bindir}/flatc
%define __builddir cmake/build-${python_flavor}
%cmake ${_cmake_opts} -DPYTHON_VERSION=%{$python_version}
%cmake_build
%{$python_build}
cd -
}
%install
%{python_expand #
%define __builddir cmake/build-${python_flavor}
%cmake_install
pushd %{__builddir}
%{$python_install}
popd
}
%python_clone -a %{buildroot}%{_bindir}/onnxruntime_test
%python_expand %fdupes %{buildroot}%{$python_sitearch} %{buildroot}%{$python_sitelib}
%check
%if %{with check}
export GTEST_FILTER=-"CApiTensorTest.load_huge_tensor_with_external_data:Random.InvalidDType"
%{python_expand #
%define __builddir cmake/build-${python_flavor}
%ctest
# pushd %%{__builddir}
# %%{$python_pytest} -v
# popd
}
%endif
%post
%python_install_alternative onnxruntime_test
%postun
%python_uninstall_alternative onnxruntime_test
%post -n lib%{name}%{so_suffix} -p /sbin/ldconfig
%postun -n lib%{name}%{so_suffix} -p /sbin/ldconfig
%files -n lib%{name}%{so_suffix}
%license LICENSE ThirdPartyNotices.txt
%doc README.md
%{_libdir}/libonnxruntime.so.%{version}
%{_libdir}/libonnxruntime_providers_shared.so.%{version}
%if %{with test}
%files -n %{name}-test
%{_bindir}/onnx_test_runner
%endif
%files -n %{name}-devel
%dir %{_includedir}/onnxruntime/
%{_includedir}/onnxruntime/*
%{_libdir}/libonnxruntime.so
%{_libdir}/libonnxruntime_providers_shared.so
%dir %{_libdir}/cmake/onnxruntime/
%{_libdir}/cmake/onnxruntime/*.cmake
%{_libdir}/pkgconfig/libonnxruntime.pc
%files %{python_files}
%license LICENSE ThirdPartyNotices.txt
%doc README.md
%{python_sitearch}/onnxruntime*
%python_alternative %{_bindir}/onnxruntime_test
%changelog
