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%global pkg_version %{name}-v%{version}
%global build_dir %{_builddir}/%{pkg_version}
%global install_libdir %{buildroot}%{_libdir}
%global install_includedir %{buildroot}%{_includedir}/annc
%global max_jobs 8
%global debug_package %{nil}
Summary: %{name} is an AI compiler designed to optimize and compile ML model into high-performance executable code that can be executed on various targets.
Name: ANNC
Version: 0.0.2
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/ANNC
Source0: %{pkg_version}.tar.gz
Source1: external.tar.gz.aa
Source2: external.tar.gz.ab
Source3: XNNPACK.tar.gz
%ifarch x86_64
Patch0: x86_64_external_files.patch
%endif
BuildRequires: cmake >= 3.9.9
BuildRequires: make
BuildRequires: gcc
BuildRequires: gcc-c++
BuildRequires: bzip2
BuildRequires: python3-devel
BuildRequires: python3-numpy
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-wheel
BuildRequires: libstdc++-static
BuildRequires: git
BuildRequires: java-11-openjdk
BuildRequires: java-11-openjdk-devel
BuildRequires: bazel
%description
%{name} is is an AI compiler designed to optimize and compile ML model into high-performance executable code that can be executed on various targets.
%prep
cat %{SOURCE1} %{SOURCE2} > external.tar.gz
tar xf external.tar.gz -C .
tar xf %{SOURCE3} -C .
%ifarch x86_64
%patch 0 -p1 -d .
%endif
%autosetup -S git -n %{pkg_version}
%build
export ANNC=%{build_dir}
cd %{_builddir}/XNNPACK/build
CFLAGS="-fPIC" cmake .. -DXNNPACK_BUILD_BENCHMARKS=OFF \
-DXNNPACK_BUILD_TESTS=OFF \
-DXNNPACK_LIBRARY_TYPE=shared \
-DCMAKE_BUILD_TYPE=Release
make -j %{max_jobs}
rm -rf $ANNC/annc/service/cpu/xla/libs/libXNNPACK.so
cp %{_builddir}/XNNPACK/build/libXNNPACK.so $ANNC/annc/service/cpu/xla/libs
export XNNPACK_DIR="%{_builddir}/XNNPACK"
CPLUS_INCLUDE_PATH+="$ANNC/annc/service/cpu/xla:"
CPLUS_INCLUDE_PATH+="$ANNC/annc/service/:"
CPLUS_INCLUDE_PATH+="$XNNPACK_DIR/:"
CPLUS_INCLUDE_PATH+="$XNNPACK_DIR/include/:"
CPLUS_INCLUDE_PATH+="$XNNPACK_DIR/src/:"
CPLUS_INCLUDE_PATH+="$XNNPACK_DIR/build/pthreadpool-source/include/:"
export CPLUS_INCLUDE_PATH
export LD_LIBRARY_PATH=$XNNPACK_DIR:$LD_LIBRARY_PATH
run_bazel_build() {
bazel --output_user_root=./output \
build -c opt \
--verbose_failures \
--action_env="baila=548" \
--define tflite_with_xnnpack=false \
--jobs=%{max_jobs} \
annc/service/cpu:libannc.so
# --copt="-g" \
# --copt="-DNDBUG" \
# annc/service/cpu:libannc.so
}
fix_action() {
echo "Perfoming fix action..."
external_path=$(find . -name "external" | head -n 1)
if [ -n "$external_path" ]; then
rm -rf $external_path/*
cp -r %{_builddir}/external/* $external_path
else
echo "Not find external directory."
fi
run_bazel_build
}
cd %{build_dir}
if run_bazel_build; then
echo "Build succeeded."
else
echo "Build failed."
fix_action
fi
pushd %{build_dir}/python
%{__python3} setup.py bdist_wheel
%install
install -d %{install_includedir}
install %{build_dir}/annc/service/cpu/kdnn_rewriter.h -t %{install_includedir}
install %{build_dir}/install/*.patch -t %{install_includedir}
install %{build_dir}/python/tensorflow/kernels/* -t %{install_includedir}
install -d %{install_libdir}
output_path=$(find %{build_dir} -type f -name "libannc.so")
install ${output_path} -t %{install_libdir}
install %{build_dir}/annc/service/cpu/xla/libs/libXNNPACK.so -t %{install_libdir}
pushd %{build_dir}/python
%py3_install
%files
%{_includedir}/annc/*
%{_libdir}/*
%{python3_sitelib}/*
/usr/bin/annc-opt
/usr/bin/annc-apply-tf
%changelog
* Mon May 12 2025 Chenhui Zheng <zhengchenhui1@huawei.com> - 0.0.1-1
- Type:Init
- ID:NA
- SUG:NA
- DEC:Init ANNC repository
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