2022-05-30 07:42:51 +00:00
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#
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2022-09-21 04:45:17 +00:00
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# spec file for package tensorflow-lite
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2022-05-30 07:42:51 +00:00
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#
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2023-10-22 11:54:39 +00:00
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# Copyright (c) 2023 SUSE LLC
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2022-05-30 07:42:51 +00:00
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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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# https://en.opensuse.org/openSUSE:LTO#Static_libraries
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%global _lto_cflags %{?_lto_cflags} -ffat-lto-objects
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%define pythons python3
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Name: tensorflow-lite
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2022-09-21 04:45:17 +00:00
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Version: 2.10.0
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2022-05-30 07:42:51 +00:00
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Release: 0
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Summary: A framework used for deep learning for mobile and embedded devices
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License: Apache-2.0 AND BSD-2-Clause AND BSD-3-Clause AND MIT AND MPL-2.0
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Group: Development/Languages/Python
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URL: https://www.tensorflow.org/
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Source0: https://github.com/tensorflow/tensorflow/archive/v%{version}.tar.gz#/tensorflow-%{version}.tar.gz
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# IMPORTANT
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# Although some of the following libraries are available in Factory, they can
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# not be used as explicit versions are needed which differ from the Factory ones.
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# License10: MIT
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Source10: https://github.com/google/farmhash/archive/0d859a811870d10f53a594927d0d0b97573ad06d.tar.gz#/farmhash.tar.gz
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# License11: Apache-2.0
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Source11: https://github.com/google/gemmlowp/archive/fda83bdc38b118cc6b56753bd540caa49e570745.zip#/gemmlowp.zip
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# License12: Apache-2.0
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Source12: https://github.com/abseil/abseil-cpp/archive/997aaf3a28308eba1b9156aa35ab7bca9688e9f6.tar.gz#/abseil-cpp.tar.gz
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# License13: MPL-2.0
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# NOTE: tensorflow only uses MPL-2.0 part of eigen
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Source13: https://gitlab.com/libeigen/eigen/-/archive/7792b1e909a98703181aecb8810b4b654004c25d/eigen-7792b1e909a98703181aecb8810b4b654004c25d.tar.gz#/eigen.tar.gz
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# License14: BSD-2-Clause
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Source14: https://github.com/intel/ARM_NEON_2_x86_SSE/archive/1200fe90bb174a6224a525ee60148671a786a71f.tar.gz#/arm_neon_2_x86_sse.tar.gz
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# Deps sources for Tensorflow-Lite (use same eigen, gemmlowp and abseil_cpp packages as non lite version)
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# License15: Apache-2.0
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Source15: https://github.com/google/flatbuffers/archive/v2.0.6.tar.gz#/flatbuffers.tar.gz
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# License16: BSD like
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Source16: https://storage.googleapis.com/mirror.tensorflow.org/github.com/petewarden/OouraFFT/archive/v1.0.tar.gz#/fft2d.tgz
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# Source17: Apache-2.0
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Source17: https://github.com/google/ruy/archive/841ea4172ba904fe3536789497f9565f2ef64129.zip#/ruy.zip
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# License18: BSD-3-Clause
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Source18: https://github.com/google/XNNPACK/archive/6b409ac0a3090ebe74d0cdfb494c4cd91485ad39.zip#/xnnpack.zip
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# transitive tensorflow-lite dependencies for xnnpack
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# License21: BSD 2-Clause
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2022-09-21 04:45:17 +00:00
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Source21: https://github.com/pytorch/cpuinfo/archive/5e63739504f0f8e18e941bd63b2d6d42536c7d90.tar.gz#/cpuinfo.tar.gz
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# NOTE: the github url is non-deterministic for the following zipfile archives (!?) Content is the same, but the hashes of the zipfiles differ.
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# License30: MIT
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# Source30: https://github.com/Maratyszcza/FP16/archive/4dfe081cf6bcd15db339cf2680b9281b8451eeb3.zip #/FP16.zip
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Source30: FP16.zip
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# License31: MIT
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# Source31: https://github.com/Maratyszcza/FXdiv/archive/b408327ac2a15ec3e43352421954f5b1967701d1.zip #/FXdiv.zip
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Source31: FXdiv.zip
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# License32: BSD-2-Clause
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# Source32: https://github.com/Maratyszcza/pthreadpool/archive/545ebe9f225aec6dca49109516fac02e973a3de2.zip #/pthreadpool.zip
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Source32: pthreadpool.zip
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# License83: MIT
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# Source83: https://github.com/Maratyszcza/psimd/archive/072586a71b55b7f8c584153d223e95687148a900.zip #/psimd.zip
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Source33: psimd.zip
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# PATCH-FIX-OPENSUSE tensorflow-lite-cmake-find-python.patch -- Let CMake find the includedirs and linker flags, code@bnavigator.de
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Patch0: tensorflow-lite-cmake-find-python.patch
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BuildRequires: cmake
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BuildRequires: fdupes
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2023-06-05 14:53:53 +00:00
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BuildRequires: gcc12
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BuildRequires: gcc12-c++
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BuildRequires: gcc12-fortran
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BuildRequires: git
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# We use some macros here but not singlespec
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BuildRequires: python-rpm-macros
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BuildRequires: python3-devel >= 3.7
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BuildRequires: python3-numpy-devel >= 1.19.2
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BuildRequires: python3-pybind11-devel
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2022-09-21 04:45:17 +00:00
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BuildRequires: python3-setuptools
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BuildRequires: unzip
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Provides: python3-tflite-runtime = %{version}-%{release}
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Provides: python3-tflite_runtime = %{version}-%{release}
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Provides: tensorflow2-lite = %{version}-%{release}
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Obsoletes: tensorflow2-lite < %{version}-%{release}
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Requires: python3-numpy >= 1.19.2
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# just use rpmlint
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# there are some serious compiler warnings, regarding no-return-in-nonvoid-function
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#!BuildRequires: -post-build-checks
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ExcludeArch: %ix86
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%description
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TensorFlow is an end-to-end open source platform for machine learning.
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The Tensorflow Lite package is a fraction the size of the full tensorflow package
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and includes the bare minimum code required to run inferences with TensorFlow Lite
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— primarily the Interpreter Python class. This small package is for when all you
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want to do is execute .tflite models and avoid wasting disk space with the large
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TensorFlow library.
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%package devel
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Summary: Header files of tensorflow
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Group: Development/Languages/Python
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Requires: %{name} = %{version}
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Provides: tensorflow2-lite-devel = %{version}-%{release}
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Obsoletes: tensorflow2-lite-devel < %{version}-%{release}
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%description devel
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TensorFlow is an end-to-end open source platform for machine learning.
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The Tensorflow Lite package is a fraction the size of the full tensorflow package
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and includes the bare minimum code required to run inferences with TensorFlow Lite
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— primarily the Interpreter Python class. This small package is for when all you
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want to do is execute .tflite models and avoid wasting disk space with the large
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TensorFlow library.
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This package provides necessary headers for the C/C++ Api using TensorFlow Lite.
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As well as the static libtensorflow-lite.a for use in your own projects without the
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Python interpreter.
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%prep
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# unpack tensorflow
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%autosetup -p1 -n tensorflow-%{version}
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# remove shebang
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sed -i '1{/env python/d}' tensorflow/lite/tools/visualize.py
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# prepare third-party sources, transitive dependencies of FP16
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unzip %{SOURCE30} -d third_party/FP16
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unzip %{SOURCE31} -d third_party/FP16
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unzip %{SOURCE32} -d third_party/FP16
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unzip %{SOURCE33} -d third_party/FP16
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mkdir tflite-build
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pushd tflite-build
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# Build a python package source tree. Adapted from tensorflow/lite/tools/pip_package/build_pip_package_with_cmake.sh
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TENSORFLOW_LITE_DIR=%{_builddir}/tensorflow-%{version}/tensorflow/lite
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cp -r "${TENSORFLOW_LITE_DIR}/tools/pip_package/MANIFEST.in" \
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"${TENSORFLOW_LITE_DIR}/python/interpreter_wrapper" \
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./
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cp "${TENSORFLOW_LITE_DIR}/tools/pip_package/setup_with_binary.py" setup.py
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mkdir tflite_runtime
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cp "${TENSORFLOW_LITE_DIR}/python/interpreter.py" \
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"${TENSORFLOW_LITE_DIR}/python/metrics/metrics_interface.py" \
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"${TENSORFLOW_LITE_DIR}/python/metrics/metrics_portable.py" \
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tflite_runtime
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echo "__version__ = '%{version}'" >> "tflite_runtime/__init__.py"
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echo "__git_version__ = '%{version}-susebuild'" >> "tflite_runtime/__init__.py"
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popd
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%build
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# --- Build tensorflow-lite as part of the minimal executable ---
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# -Werror=return-type fails in xnnpack
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%global optflags %(echo %{optflags} | sed s/-Werror=return-type//)
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pushd tflite-build
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%cmake ../../tensorflow/lite/examples/minimal \
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-DBUILD_STATIC_LIBS:BOOL=ON \
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-DBUILD_SHARED_LIBS:BOOL=OFF \
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-DOVERRIDABLE_FETCH_CONTENT_farmhash_URL=%{SOURCE10} \
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-DOVERRIDABLE_FETCH_CONTENT_gemmlowp_URL=%{SOURCE11} \
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-DOVERRIDABLE_FETCH_CONTENT_abseil-cpp_URL=%{SOURCE12} \
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-DOVERRIDABLE_FETCH_CONTENT_eigen_URL=%{SOURCE13} \
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-DINCLUDE_INSTALL_DIR:PATH=include/eigen3 \
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-DOVERRIDABLE_FETCH_CONTENT_neon2sse_URL=%{SOURCE14} \
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-DOVERRIDABLE_FETCH_CONTENT_flatbuffers_URL=%{SOURCE15} \
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-DOVERRIDABLE_FETCH_CONTENT_fft2d_URL=%{SOURCE16} \
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-DOVERRIDABLE_FETCH_CONTENT_ruy_URL=%{SOURCE17} \
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-DOVERRIDABLE_FETCH_CONTENT_xnnpack_URL=%{SOURCE18} \
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-DOVERRIDABLE_FETCH_CONTENT_clog_URL=%{SOURCE21} \
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-DOVERRIDABLE_FETCH_CONTENT_cpuinfo_URL=%{SOURCE21} \
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-DFP16_SOURCE_DIR:PATH=$(realpath ../../third_party/FP16/FP16-*) \
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-DFXDIV_SOURCE_DIR:PATH=$(realpath ../../third_party/FP16/FXdiv-*) \
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-DPTHREADPOOL_SOURCE_DIR:PATH=$(realpath ../../third_party/FP16/pthreadpool-*) \
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-DPSIMD_SOURCE_DIR:PATH=$(realpath ../../third_party/FP16/psimd-*) \
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%ifarch %arm aarch64
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-DTFLITE_ENABLE_XNNPACK:BOOL=OFF \
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%endif
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-DCMAKE_C_COMPILER=gcc-12 \
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-DCMAKE_CXX_COMPILER=g++-12 \
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%{nil}
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%cmake_build all _pywrap_tensorflow_interpreter_wrapper
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# get the wrapper compiled above
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cd ..
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cp build/tensorflow-lite/_pywrap_tensorflow_interpreter_wrapper.so tflite_runtime/
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export PROJECT_NAME=tflite_runtime
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export PACKAGE_VERSION=%{version}
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# avoid python builddir-shuffle
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echo "python3" > _current_flavor
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%python3_build
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popd
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%install
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pushd tflite-build/build
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install -D minimal %{buildroot}%{_bindir}/tflite_minimal
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install -D tensorflow-lite/libtensorflow-lite.a %{buildroot}%{_libdir}/libtensorflow-lite.a
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# Disable spurious-executable-perm
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chmod -x %{buildroot}%{_libdir}/libtensorflow-lite.a
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popd
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for file in `find tensorflow/lite -name \*.h`; do
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# Package header files - boo#1175099
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install -D $file %{buildroot}%{_includedir}/$file
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# Disable spurious-executable-perm
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chmod -x %{buildroot}%{_includedir}/$file
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done
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install -D tensorflow/lite/schema/schema.fbs %{buildroot}%{_includedir}/tensorflow/lite/schema/schema.fbs
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chmod -x %{buildroot}%{_includedir}/tensorflow/lite/schema/schema.fbs
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install -D tensorflow/core/public/version.h %{buildroot}%{_includedir}/tensorflow/core/public/version.h
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chmod -x %{buildroot}%{_includedir}/tensorflow/core/public/version.h
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# Install tensorflow-lite.pc
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mkdir -p %{buildroot}%{_libdir}/pkgconfig
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cat <<EOF > %{buildroot}%{_libdir}/pkgconfig/tensorflow-lite.pc
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Name: tensorflow lite
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Description: tensorflow lite static library
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Version: %{version}
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Libs: -L%{_libdir} -ltensorflow-lite -lflatbuffers
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Cflags: -I%{_includedir}
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EOF
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# Some tools expect tensorflow2-lite.pc
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pushd %{buildroot}%{_libdir}/pkgconfig
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ln -s tensorflow-lite.pc tensorflow2-lite.pc
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popd
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pushd tflite-build
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# avoid auto-discovered python packaging of abseil files
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rm build/lib/pkgconfig/absl_absl_*
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rmdir build/lib/pkgconfig
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export PROJECT_NAME=tflite_runtime
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export PACKAGE_VERSION=%{version}
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%python3_install --install-lib %{python3_sitearch}
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%fdupes %{buildroot}%{python3_sitearch}
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popd
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%check
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PYTHONPATH=%{buildroot}%{python_sitearch} python3 -c "import tflite_runtime.interpreter as tflite"
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%files
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%{_bindir}/tflite_minimal
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%{python3_sitearch}/tflite_runtime
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%{python3_sitearch}/tflite_runtime-%{version}*-info
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%files devel
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%{_libdir}/libtensorflow-lite.a
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%dir %{_includedir}/tensorflow/lite/
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%{_includedir}/tensorflow/lite/*
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%dir %{_includedir}/tensorflow/core/public/
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%{_includedir}/tensorflow/core/public/version.h
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%{_libdir}/pkgconfig/*.pc
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%changelog
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