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arm-ml-examples
arm-ml-examples.spec
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File arm-ml-examples.spec of Package arm-ml-examples
# # spec file for package arm-ml-examples # # Copyright (c) 2020 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/ # # Disable CAFFE and Tensorflow since it has been dropped in latest armnn %bcond_with armnn_caffe %bcond_with armnn_tf # Disable ONNX due to https://github.com/ARM-software/armnn/issues/292 %bcond_with armnn_onnx # Enable TensorFlowLite %bcond_without armnn_tflite Name: arm-ml-examples Version: 0.0~git20200114.7f6276c Release: 0 Summary: Machine learning examples used in Arm's ML developer space License: Apache-2.0 Group: Development/Libraries/Other URL: https://developer.arm.com/products/processors/machine-learning/arm-nn Source0: ML-examples-%{version}.tar.xz BuildRequires: armnn-devel BuildRequires: gcc-c++ BuildRequires: libboost_test-devel %if %{with armnn_tflite} && %{with armnn_onnx} BuildRequires: libboost_filesystem-devel BuildRequires: libboost_program_options-devel BuildRequires: libboost_system-devel %endif # Examples are useful only with the data Requires: arm-ml-examples-data ExcludeArch: %ix86 %description Source code for machine learning tutorials and examples used in Arm's ML developer space. %package data Summary: Data files for %{name} Group: Development/Libraries/C and C++ BuildArch: noarch %description data Data used by machine learning tutorials and examples from Arm's ML developer space. %prep %setup -q -n ML-examples-%{version} %build export ARMNN_LIB=/usr/lib export ARMNN_INC=%{_includedir} %if %{with armnn_tflite} && %{with armnn_onnx} export BOOST_ROOT=%{_libdir}/.. pushd armnn-mobilenet-quant %if "%{_libdir}" == "/usr/lib64" sed -i -e 's#BOOST_ROOT)/lib#BOOST_ROOT)/lib64#' Makefile %endif make popd %endif pushd armnn-mnist # Needs CaffeParser and/or TensorFlowParser enabled in armnn %if %{with armnn_caffe} make mnist_caffe %endif %if %{with armnn_tf} make mnist_tf %endif popd %install install -d %{buildroot}%{_bindir} %if %{with armnn_tflite} && %{with armnn_onnx} pushd armnn-mobilenet-quant cp mobilenetv1_quant_tflite %{buildroot}%{_bindir}/ popd %endif pushd armnn-mnist %if %{with armnn_caffe} cp mnist_caffe %{buildroot}%{_bindir}/ %endif %if %{with armnn_tf} cp mnist_tf %{buildroot}%{_bindir}/ %endif # Install examples data mkdir -p %{buildroot}%{_datadir}/armnn-mnist/ cp -r data/ model/ %{buildroot}%{_datadir}/armnn-mnist/ popd %check pushd armnn-mnist %if %{with armnn_caffe} ./mnist_caffe %endif %if %{with armnn_tf} ./mnist_tf %endif popd %if %{with armnn_caffe} || %{with armnn_tf} %files %defattr(-,root,root) %{_bindir}/* %endif %files data %dir %{_datadir}/armnn-mnist %dir %{_datadir}/armnn-mnist/data %dir %{_datadir}/armnn-mnist/model %{_datadir}/armnn-mnist/data/* %{_datadir}/armnn-mnist/model/* %changelog
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