forked from pool/python-onnx
- provide also python-onnx-devel for backcompat - created just one package, as other packages require the source file within the package OBS-URL: https://build.opensuse.org/request/show/786123 OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-onnx?expand=0&rev=15
112 lines
3.8 KiB
RPMSpec
112 lines
3.8 KiB
RPMSpec
#
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# spec file for package python-onnx
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#
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# Copyright (c) 2020 SUSE LLC
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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%define skip_python2 1
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Name: python-onnx
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Version: 1.6.0
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Release: 0
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Summary: Open Neural Network eXchange
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License: MIT
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URL: https://onnx.ai/
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Source0: https://github.com/onnx/onnx/archive/v%{version}.tar.gz#/onnx-%{version}.tar.gz
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Source1: %{name}-rpmlintrc
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Patch0: protobuf.patch
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BuildRequires: %{python_module devel}
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BuildRequires: %{python_module numpy}
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BuildRequires: %{python_module protobuf}
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BuildRequires: %{python_module pybind11}
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BuildRequires: %{python_module pytest-xdist}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module setuptools}
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BuildRequires: %{python_module six}
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BuildRequires: cmake
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BuildRequires: fdupes
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BuildRequires: gcc-c++
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BuildRequires: protobuf-devel
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BuildRequires: python-pybind11-devel
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BuildRequires: python-rpm-macros
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Requires: python-numpy
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Requires: python-protobuf
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Requires: python-six
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Requires: python-typing_extensions >= 3.6.2.1
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Provides: python-onnx-devel
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%python_subpackages
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%description
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Open format to represent deep learning models. With ONNX, AI developers can
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more easily move models between state-of-the-art tools and choose the
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combination that is best for them. ONNX is developed and supported by a
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community of partners.
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%prep
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%setup -q -n onnx-%{version}
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# avoid bundles
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rm -rf third_party
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%patch0 -p1
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# say that the cmake was already built (we used our macros)
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sed -i -e 's:built = False:built = True:g' setup.py
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# do not require extra pytest modules
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sed -i -e '/addopts/d' setup.cfg
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# do not pull in pytest-runner as it is deprecated
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sed -i -e '/pytest-runner/d' setup.py
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%build
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# define same folder like is used for the setup.py later
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%define __builddir .setuptools-cmake-build
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# Force the cmake to build static libs as otherwise we end
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# up with unresolvable package.
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%{python_expand # we need to generate for each python
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%cmake \
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-DONNX_USE_PROTOBUF_SHARED_LIBS=ON \
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-DONNX_WERROR=OFF \
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-DBUILD_ONNX_PYTHON=ON \
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-DBUILD_SHARED_LIBS=OFF \
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-DBUILD_STATIC_LIBS=ON \
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-DPY_EXT_SUFFIX="`$python-config --extension-suffix`"
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%cmake_build ; cd ..
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}
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%python_build
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%install
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%python_install
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%python_expand %fdupes %{buildroot}%{$python_sitearch}
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shebang_files="%{python_sitearch}/onnx/backend/test/stat_coverage.py %{python_sitearch}/onnx/defs/gen_doc.py %{python_sitearch}/onnx/gen_proto.py"
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for file in $shebang_files ; do
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sed -i 's@%{_bindir}/env python@%{_bindir}/python3@' %{buildroot}/$file
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chmod 755 %{buildroot}/$file
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done
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%check
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export PYTHONDONTWRITEBYTECODE=1
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# copy inplace for tests
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cp %{__builddir}/*cpp2py* ./onnx/
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# skip online tests
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%pytest_arch -n auto -k 'not (test_bvlc_alexnet_cpu or test_shufflenet_cpu or test_densenet121_cpu or test_squeezenet_cpu or test_inception_v1_cpu or test_vgg19_cpu or test_inception_v2_cpu or test_zfnet512_cpu or test_resnet50_cpu)'
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%files %{python_files}
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%doc README.md
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%license LICENSE
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%python3_only %{_bindir}/check-model
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%python3_only %{_bindir}/check-node
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%python3_only %{_bindir}/backend-test-tools
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%{python_sitearch}/onnx*
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%changelog
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