forked from pool/armnn
Christian Goll
331194d69e
- Add compute_cl option, disabled by default since check fails as no openCL are enabled in OBS - Split libarmnn and libarmnnSerializer to separate packages - Add patch to have versionned libs: * armnn-generate-versioned-library.patch - Package versionned libs - Enable NEON backend on AArch64 - Add patch to enable use of shared lib for ComputeLibrary: * 0007-enable-use-of-arm-compute-shared-library.patch - Update to 19.02 - Remove upstreamed patch: * armnn-fix_catching_polymorphic_type.patch - Update to 18.11 - Add patch to fix build: * armnn-fix_catching_polymorphic_type.patch * armnn-fix_boost.patch * armnn-fix_stb_include.patch - Initial version 18.08 OBS-URL: https://build.opensuse.org/request/show/695957 OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/armnn?expand=0&rev=1
309 lines
9.6 KiB
RPMSpec
309 lines
9.6 KiB
RPMSpec
#
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# spec file for package armnn
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#
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# Copyright (c) 2018 SUSE LINUX GmbH, Nuernberg, Germany.
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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 http://bugs.opensuse.org/
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#
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# Compute library has neon enabled for aarch64 only
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%ifarch aarch64
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%bcond_without compute_neon
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%else
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%bcond_with compute_neon
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%endif
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# Disable OpenCL from Compute library, as check fails
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%bcond_with compute_cl
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# stb-devel and flatbuffers-devel are available on Leap 15.1+
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%if 0%{?suse_version} > 1500
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%bcond_without armnn_tests
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%bcond_without armnn_flatbuffers
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%else
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%bcond_with armnn_tests
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%bcond_with armnn_flatbuffers
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%endif
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# Disable CAFFE for now (build broken)
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%bcond_with armnn_caffe
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# Disable TensorFlow for now (build broken)
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%bcond_with armnn_tf
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%define version_major 19
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%define version_minor 02
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Name: armnn
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Version: %{version_major}.%{version_minor}
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Release: 0
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Summary: Arm NN SDK enables machine learning workloads on power-efficient devices
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License: MIT
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Group: Development/Libraries/Other
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Url: https://developer.arm.com/products/processors/machine-learning/arm-nn
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Source0: https://github.com/ARM-software/armnn/archive/v%{version}.tar.gz#/%{name}-%{version}.tar.gz
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Patch1: armnn-fix_boost.patch
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Patch2: armnn-fix_stb_include.patch
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# PATCH: based on http://arago-project.org/git/?p=meta-arago.git;a=blob;f=meta-arago-extras/recipes-support/armnn/armnn/0004-generate-versioned-library.patch;hb=master
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Patch3: armnn-generate-versioned-library.patch
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# Patch: http://arago-project.org/git/?p=meta-arago.git;a=blob;f=meta-arago-extras/recipes-support/armnn/armnn/0007-enable-use-of-arm-compute-shared-library.patch;hb=master
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Patch4: 0007-enable-use-of-arm-compute-shared-library.patch
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%if 0%{?suse_version} < 1330
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BuildRequires: boost-devel >= 1.59
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%else
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BuildRequires: libboost_filesystem-devel >= 1.59
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BuildRequires: libboost_log-devel >= 1.59
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BuildRequires: libboost_program_options-devel >= 1.59
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BuildRequires: libboost_system-devel >= 1.59
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BuildRequires: libboost_test-devel >= 1.59
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BuildRequires: libboost_thread-devel >= 1.59
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%endif
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%if %{with armnn_caffe}
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BuildRequires: caffe-devel
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%endif
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BuildRequires: cmake >= 3.0.2
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BuildRequires: ComputeLibrary-devel
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BuildRequires: gcc-c++
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%if %{with armnn_flatbuffers}
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BuildRequires: flatbuffers-devel
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%endif
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%if %{with compute_cl}
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# Mesa-libOpenCl is required for tests
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BuildRequires: Mesa-libOpenCL
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BuildRequires: ocl-icd-devel
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BuildRequires: opencl-cpp-headers
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%endif
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BuildRequires: protobuf-devel
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BuildRequires: python-rpm-macros
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%if %{with armnn_tests}
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BuildRequires: stb-devel
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%endif
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%if %{with armnn_tf}
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BuildRequires: tensorflow-devel
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%endif
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BuildRequires: valgrind-devel
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BuildRoot: %{_tmppath}/%{name}-%{version}-build
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%description
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Arm NN is an inference engine for CPUs, GPUs and NPUs.
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It bridges the gap between existing NN frameworks and the underlying IP.
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It enables efficient translation of existing neural network frameworks,
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such as TensorFlow and Caffe, allowing them to run efficiently – without
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modification – across Arm Cortex CPUs and Arm Mali GPUs.
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%package devel
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Summary: Development headers and libraries for armnn
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Group: Development/Libraries/C and C++
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Requires: %{name} = %{version}
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Requires: lib%{name}%{version_major} = %{version}
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%if %{with armnn_flatbuffers}
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Requires: libarmnnSerializer%{version_major} = %{version}
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%endif
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%description devel
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Arm NN is an inference engine for CPUs, GPUs and NPUs.
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It bridges the gap between existing NN frameworks and the underlying IP.
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It enables efficient translation of existing neural network frameworks,
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such as TensorFlow and Caffe, allowing them to run efficiently – without
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modification – across Arm Cortex CPUs and Arm Mali GPUs.
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This package contains the development libraries and headers for armnn.
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%package -n lib%{name}%{version_major}
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Summary: lib%{name} from armnn
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Group: Development/Libraries/C and C++
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%description -n lib%{name}%{version_major}
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Arm NN is an inference engine for CPUs, GPUs and NPUs.
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It bridges the gap between existing NN frameworks and the underlying IP.
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It enables efficient translation of existing neural network frameworks,
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such as TensorFlow and Caffe, allowing them to run efficiently – without
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modification – across Arm Cortex CPUs and Arm Mali GPUs.
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This package contains the libarmnn library from armnn.
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%if %{with armnn_flatbuffers}
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%package -n libarmnnSerializer%{version_major}
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Summary: libarmnnSerializer from armnn
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Group: Development/Libraries/C and C++
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%description -n libarmnnSerializer%{version_major}
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Arm NN is an inference engine for CPUs, GPUs and NPUs.
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It bridges the gap between existing NN frameworks and the underlying IP.
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It enables efficient translation of existing neural network frameworks,
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such as TensorFlow and Caffe, allowing them to run efficiently – without
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modification – across Arm Cortex CPUs and Arm Mali GPUs.
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This package contains the libarmnnSerializer library from armnn.
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%endif
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%prep
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%setup -q
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%patch1 -p1
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%patch2 -p1
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%patch3 -p1
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%patch4 -p1
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# Boost fixes for dynamic linking
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sed -i 's/add_definitions("-DBOOST_ALL_NO_LIB")/add_definitions("-DBOOST_ALL_DYN_LINK")/' ./cmake/GlobalConfig.cmake
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sed -i 's/set(Boost_USE_STATIC_LIBS ON)/set(Boost_USE_STATIC_LIBS OFF)/' ./cmake/GlobalConfig.cmake
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sed -i 's/find_package(Boost 1.59 REQUIRED COMPONENTS unit_test_framework system filesystem log program_options)/find_package(Boost 1.59 REQUIRED COMPONENTS unit_test_framework system filesystem log thread program_options)/' ./cmake/GlobalConfig.cmake
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# Build fix
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sed -i 's/-Wsign-conversion//' ./cmake/GlobalConfig.cmake
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%build
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%cmake \
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-DGENERIC_LIB_VERSION=%{version} \
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-DGENERIC_LIB_SOVERSION=%{version_major} \
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%if %{with armnn_tf}
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-DCMAKE_CXX_FLAGS:STRING="%{optflags} -pthread -ltensorflow_cc -ltensorflow_framework" \
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%else
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-DCMAKE_CXX_FLAGS:STRING="%{optflags} -pthread" \
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%endif
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-DBOOST_LIBRARYDIR=%{_libdir} \
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%if %{with armnn_caffe}
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-DBUILD_CAFFE_PARSER=ON \
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%else
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-DBUILD_CAFFE_PARSER=OFF \
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%endif
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-DCAFFE_GENERATED_SOURCES=%{_includedir}/ \
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-DBUILD_ONNX_PARSER=OFF \
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%if %{with armnn_flatbuffers}
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-DBUILD_ARMNN_SERIALIZER=ON \
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-DFLATC_DIR=%{_bindir} \
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-DFLATBUFFERS_INCLUDE_PATH=%{_includedir} \
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-DBUILD_ARMNN_QUANTIZER=ON \
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%else
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-DBUILD_ARMNN_SERIALIZER=OFF \
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-DBUILD_ARMNN_QUANTIZER=OFF \
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%endif
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%if %{with armnn_tf}
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-DBUILD_TF_PARSER=ON \
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-DTF_GENERATED_SOURCES=%{python3_sitelib}/tensorflow/include/ \
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%else
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-DBUILD_TF_PARSER=OFF \
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%endif
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%if %{with compute_neon} || %{with compute_cl}
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-DARMCOMPUTE_INCLUDE=%{_includedir} \
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-DHALF_INCLUDE=%{_includedir}/half \
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-DARMCOMPUTE_BUILD_DIR=%{_libdir} \
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-DARMCOMPUTE_ROOT=/usr \
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%endif
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%if %{with compute_neon}
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-DARMCOMPUTENEON=ON \
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%else
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-DARMCOMPUTENEON=OFF \
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%endif
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%if %{with compute_cl}
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-DARMCOMPUTECL=ON \
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-DOPENCL_INCLUDE=%{_includedir} \
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%else
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-DARMCOMPUTECL=OFF \
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%endif
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-DTHIRD_PARTY_INCLUDE_DIRS=%{_includedir} \
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%if %{with armnn_flatbuffers}
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-DBUILD_SAMPLE_APP=ON \
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%else
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-DBUILD_SAMPLE_APP=OFF \
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%endif
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%if %{with armnn_tests}
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-DBUILD_UNIT_TESTS=ON \
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-DBUILD_TESTS=ON
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%else
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-DBUILD_UNIT_TESTS=OFF \
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-DBUILD_TESTS=OFF
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%endif
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%if %{suse_version} > 1500
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%cmake_build
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%else
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%make_jobs
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%endif
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%if %{with armnn_tests}
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pushd tests/
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%if %{suse_version} > 1500
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%cmake_build
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%else
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%make_jobs
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%endif
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popd
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%endif
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%install
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%cmake_install
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%if %{with armnn_tests}
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# Install tests manually
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install -d %{buildroot}%{_bindir}
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CP_ARGS="-Prf --preserve=mode,timestamps --no-preserve=ownership" \
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find ./build/tests -maxdepth 1 -type f -executable -exec cp $CP_ARGS {} %{buildroot}%{_bindir} \;
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%endif
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%if %{with armnn_flatbuffers}
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# Install Sample app
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cp $CP_ARGS ./build/samples/SimpleSample %{buildroot}%{_bindir}
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%endif
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%if %{with armnn_tests}
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%check
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# Run tests
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LD_LIBRARY_PATH="$(pwd)/build/" \
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./build/UnitTests
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%endif
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%post -n lib%{name}%{version_major} -p /sbin/ldconfig
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%postun -n lib%{name}%{version_major} -p /sbin/ldconfig
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%if %{with armnn_flatbuffers}
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%post -n libarmnnSerializer%{version_major} -p /sbin/ldconfig
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%postun -n libarmnnSerializer%{version_major} -p /sbin/ldconfig
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%endif
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%files
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%defattr(-,root,root)
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%doc README.md
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%license LICENSE
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%if %{with armnn_tests}
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%{_bindir}/ExecuteNetwork
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%endif
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%if %{with armnn_flatbuffers}
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%{_bindir}/SimpleSample
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%endif
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%files -n lib%{name}%{version_major}
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/usr/lib/lib%{name}.so.*
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%if %{with armnn_flatbuffers}
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%files -n libarmnnSerializer%{version_major}
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/usr/lib/libarmnnSerializer.so.*
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%endif
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%files devel
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%defattr(-,root,root)
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%dir %{_includedir}/armnn/
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%{_includedir}/armnn/*.hpp
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%dir %{_includedir}/armnnCaffeParser/
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%{_includedir}/armnnCaffeParser/ICaffeParser.hpp
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%dir %{_includedir}/armnnOnnxParser/
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%{_includedir}/armnnOnnxParser/IOnnxParser.hpp
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%dir %{_includedir}/armnnTfLiteParser/
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%{_includedir}/armnnTfLiteParser/ITfLiteParser.hpp
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%dir %{_includedir}/armnnTfParser/
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%{_includedir}/armnnTfParser/ITfParser.hpp
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%dir %{_includedir}/armnnDeserializer/
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%{_includedir}/armnnDeserializer/IDeserializer.hpp
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%dir %{_includedir}/armnnSerializer/
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%{_includedir}/armnnSerializer/ISerializer.hpp
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/usr/lib/libarmnn.so
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%if %{with armnn_flatbuffers}
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/usr/lib/libarmnnSerializer.so
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%endif
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%changelog
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