Name:       onnx
Version:    1.18.0
Release:    1%{?dist}
Summary:    Open standard for machine learning interoperability
License:    Apache-2.0

URL:        https://github.com/onnx/onnx
Source0:    https://github.com/onnx/onnx/archive/v%{version}/%{name}-%{version}.tar.gz

# Build shared libraries and fix install location 
Patch0:     0000-Build-shared-libraries-and-fix-install-location.patch
# Let pyproject_build use binaries from cmake_build
Patch1:     0001-Let-pyproject_build-use-binaries-from-cmake_build.patch
# Add fixes for use with onnxruntime
Patch2:     0002-Add-fixes-for-use-with-onnxruntime.patch

BuildRequires:  cmake >= 3.24
BuildRequires:  make
BuildRequires:  findutils
BuildRequires:  gcc
BuildRequires:  gcc-c++
BuildRequires:  zlib-devel
BuildRequires:  python3-devel
BuildRequires:  python3-pip
BuildRequires:  python3-wheel
BuildRequires:  python3-pybind11 >= 2.12.0
BuildRequires:  protobuf-devel >= 25.1
BuildRequires:  protobuf-compiler >= 25.1
BuildRequires:  python3-build
BuildRequires:  python3-parameterized
BuildRequires:  pytest
BuildRequires:  python3-pytest-cov
BuildRequires:  python3-pytest-xdist
BuildRequires:  python3-setuptools
BuildRequires:  python3-pillow
BuildRequires:  python3-numpy
BuildRequires:  python3-protobuf  
BuildRequires:  python3-typing-extensions

%global _description %{expand:
%{name} provides an open source format for AI models, both deep learning and
traditional ML. It defines an extensible computation graph model, as well as
definitions of built-in operators and standard data types.}

%description %_description

%package libs
Summary:    Libraries for %{name}

%description libs %_description

%package devel
Summary:    Development files for %{name}
Requires:   %{name}-libs = %{version}-%{release} 

%description devel %_description

%package -n python3-onnx
Summary:    %{summary}
Requires:   %{name}-libs = %{version}-%{release}
Requires:   python3-protobuf
Requires:   python3-parameterized
Requires:   python3-numpy

%description -n python3-onnx %_description

%prep
%autosetup -p1 -n %{name}-%{version}

# Drop nbval options from pytest. Plugin is not available in openEuler.
sed -r \
    -e 's/--nbval //' \
    -e 's/--nbval-current-env //' \
    -i pyproject.toml

%build
%cmake \
    -DONNX_USE_LITE_PROTO=OFF \
    -DONNX_USE_PROTOBUF_SHARED_LIBS=ON \
    -DONNX_BUILD_PYTHON=ON \
    -DONNX_ML=1 \
    -DPython3_EXECUTABLE=%{__python3} \
    -DPY_SITEARCH=%{python3_sitearch} \
    -DCMAKE_SKIP_RPATH:BOOL=ON



# Generate protobuf header and source files
%cmake_build -- gen_onnx_proto
# Build 
%cmake_build
# Build python libs
%pyproject_build

%install
%cmake_install
# Need to remove empty directories
# find "%{buildroot}%{_includedir}" -type d -empty -delete
# find "%{buildroot}%{python3_sitearch}" -type d -empty -delete
# Install *.proto files
install -p "./onnx/"*.proto -t "%{buildroot}/%{_includedir}/onnx/"

%pyproject_install

%check
export LD_LIBRARY_PATH=%{buildroot}%{_libdir}
export PYTHONPATH=%{buildroot}%{python3_sitearch}
%pytest \
    --ignore=onnx/test/helper_test.py \
    --ignore=onnx/test/numpy_helper_test.py \
    --ignore=onnx/test/test_backend_reference.py \
    --ignore=onnx/test/reference_evaluator_test.py

%files libs
%license LICENSE
%doc README.md
%{_libdir}/libonnx.so.%{version}
%{_libdir}/libonnx_proto.so.%{version}

%files devel
%{_libdir}/libonnx.so
%{_libdir}/libonnx_proto.so
%{_libdir}/cmake/ONNX
%{_includedir}/%{name}/

%files -n python3-onnx 
%{python3_sitearch}/onnx*
%{_bindir}/backend-test-tools
%{_bindir}/check-model
%{_bindir}/check-node

%changelog
* Fri Jul 4 2025 zhihang <zhihang161013@outlook.com> - 1.18.0-1
- Init package