%global pkg_version %{name}-v%{version}-alpha

%global build_dir %{_builddir}/%{pkg_version}
%global build_dir_dep %{build_dir}/third_party
%global build_dir_frm %{build_dir}/aiframe/build
%global build_libdir %{build_dir_frm}/%{_lib}
%global build_includedir %{build_dir_frm}/include
%global build_dir_model %{build_libdir}/%{name}

%global install_libdir %{buildroot}%{_libdir}
%global install_dir_model %{install_libdir}/%{name}

%global max_jobs 16

Summary: %{name} is a framework which enables compilers compilers to integrate ML-driven compiler optimization.
Name:       AI4C
Version:    0.2.0
Release:    1
# Package onnxruntime and SafeInt have MIT License.
# Package onnx has Apache License 2.0.
License:    MIT and ASL 2.0 and Boost and BSD
URL:        https://gitee.com/openeuler/AI4C
Source0:    %{pkg_version}.tar.gz

Patch1:     0001-add-interface-and-model-for-Auto-LTO.patch
Patch2:     0002-update-auto-lto-model.patch

BuildRequires:  cmake >= 3.13
BuildRequires:  make
BuildRequires:  gcc
BuildRequires:  gcc-c++
BuildRequires:  abseil-cpp-devel
BuildRequires:  boost-devel >= 1.66
BuildRequires:  bzip2
BuildRequires:  python3-devel
BuildRequires:  python3-numpy
BuildRequires:  python3-setuptools
BuildRequires:  python3-pip
BuildRequires:  openssl
BuildRequires:  openssl-devel


%description
%{name} is a framework which enables compilers compilers to integrate ML-driven compiler optimization.

%prep
tar -xzf %{SOURCE0} -C .

%autosetup -S git -n %{pkg_version}

%build
# Construct dependency package `cmake`
cd %{build_dir_dep}/cmake
mkdir -p build && cd build
cmake .. -DCMAKE_INSTALL_PREFIX=./install
make install -j %{max_jobs} 

# Broken test in aarch64 architecture.
cd %{build_dir_dep}/onnxruntime
%ifarch aarch64
rm -v onnxruntime/test/optimizer/nhwc_transformer_test.cc
%endif

# Construct dependency package `onnxruntime`.
mkdir -p %{build_libdir}
mkdir -p %{build_includedir}
%{build_dir_dep}/cmake/build/install/bin/cmake \
    -DCMAKE_INSTALL_PREFIX=%{build_dir_frm} \
    -DCMAKE_INSTALL_LIBDIR=%{build_libdir} \
    -DCMAKE_INSTALL_INCLUDEDIR=%{build_includedir} \
    -Donnxruntime_BUILD_SHARED_LIB=ON \
    -Donnxruntime_BUILD_UNIT_TESTS=ON \
    -Donnxruntime_INSTALL_UNIT_TESTS=OFF \
    -Donnxruntime_BUILD_BENCHMARKS=OFF \
    -Donnxruntime_USE_FULL_PROTOBUF=ON \
    -DPYTHON_VERSION=%{python3_version} \
    -Donnxruntime_ENABLE_CPUINFO=ON \
    -Donnxruntime_DISABLE_ABSEIL=ON \
    -Donnxruntime_USE_NEURAL_SPEED=OFF \
    -Donnxruntime_ENABLE_PYTHON=OFF \
    -DCMAKE_BUILD_TYPE=RelWithDebInfo \
    -S cmake
make -j %{max_jobs} && make install

# Construct AI4C library `libONNXRunner.so`.
cd %{build_dir_frm}
cmake \
    -DCMAKE_INSTALL_PREFIX=%{build_dir_frm} \
    -Donnxruntime_ROOTDIR=%{build_dir_frm} \
    -DCMAKE_BUILD_TYPE=RelWithDebInfo \
    ../
make -j %{max_jobs} && make install

%install
install -d %{install_dir_model}
install %{build_dir_model}/* -t %{install_dir_model}
install %{build_libdir}/libonnxruntime.so* -t %{install_libdir}
install %{build_libdir}/libONNXRunner.so -t %{install_libdir}
pushd %{install_libdir}
ln -sf libonnxruntime.so.1.* libonnxruntime.so
popd


%files
%attr(0755,root,root) %{_libdir}/*


%changelog
* Mon Nov 25 2024 Zhenyu Zhao <zhaozhenyu17@huawei.com> - 0.2.0-1
- Sync patch from 22.03 SP4.