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File tensorflow.spec of Package tensorflow
# # spec file for package tensorflow # # 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/ # # %define pname tensorflow %define vers 1.15.4 %define _vers 1_15_4 %define libmaj 1 %define libmin 15 %define libref 4 %define python_ver_hack python3.[0-9] %global flavor @BUILD_FLAVOR@%{nil} # Build tensorflow, not Tensorflow-lite %define is_lite 0 %if "%{flavor}" == "standard" %bcond_with cuda %bcond_with mpi %bcond_with opencl %endif %if "%{flavor}" == "lite" %define is_lite 1 %define package_suffix -lite %bcond_with cuda %bcond_with mpi %bcond_with opencl %endif %if "%{flavor}" == "hpc" %define compiler_family gnu %bcond_with cuda %bcond_with mpi %bcond_with opencl %bcond_without hpc %endif %if "%{flavor}" == "hpc-openmpi2" %define mpi_flavor openmpi %define mpi_vers 2 %define compiler_family gnu %bcond_with cuda %bcond_without mpi %bcond_with opencl %bcond_without hpc %endif %if "%{flavor}" == "hpc-mvapich2" %define mpi_flavor mvapich2 %define compiler_family gnu %bcond_with cuda %bcond_without mpi %bcond_with opencl %bcond_without hpc %endif %if "%{flavor}" == "cuda-10-1" %bcond_without cuda %bcond_with mpi %bcond_with opencl %endif %if "%{flavor}" == "opencl" %bcond_without opencl %bcond_with cuda %bcond_with mpi %endif %if %{with hpc} %{!?compiler_family:%global compiler_family gnu} %{hpc_init -c %compiler_family %{?with_mpi:-m %mpi_flavor} %{?c_f_ver:-v %{c_f_ver}} %{?mpi_ver:-V %{mpi_ver}} %{?ext:-e %{ext}}} %{?with_mpi:%global hpc_module_pname p%{pname}} %define python_flavor python3 %define package_name %{hpc_package_name %_vers} %define package_name_provide tensorflow%{hpc_package_name_tail} %define package_name_conflict tensorflow2%{hpc_package_name_tail} %define libname(l:s:) lib%{pname}%{-l*}%{hpc_package_name_tail %{?_vers}} %define package_python_sitearch %hpc_python_sitearch %define package_python_sitelib %{hpc_prefix}/lib/python%{python3_version}/site-packages/ %define package_prefix %hpc_prefix %define package_bindir %hpc_bindir %define package_libdir %hpc_libdir %else %define package_name %pname%{?package_suffix} %define package_name_conflict tensorflow2%{?package_suffix} %define package_python_sitearch %{python3_sitearch} %define package_python_sitelib %{python3_sitelib} %define package_prefix %_prefix %define package_bindir %_bindir %define package_libdir %_libdir %define libname(l:s:) lib%{pname}%{!-l:%{-s:-}}%{-l*}%{-s*}%{?package_suffix} %endif Name: %{package_name} Version: %vers Release: 0 Summary: A framework used for deep learning License: Apache-2.0 AND BSD-2-Clause AND BSD-3-Clause AND FSFUL AND MIT AND MPL-2.0 AND OpenSSL AND Python-2.0 Group: Development/Languages/Python URL: https://www.tensorflow.org/ Source0: https://github.com/tensorflow/tensorflow/archive/v%{version}.tar.gz#/tensorflow-%{version}.tar.gz Source1: tensorflow-rpmlintrc # IMPORTANT # although some of the following libraries are available in factory they could # not be used as # * explicit versions are needed which differ from the factory ones # * bazel and the obs version have different symbols due to hidden compiler flags # License10: Apache-2.0 Source10: https://github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz#/rules_closure.tar.gz # License12: Python-2.0 Source12: https://files.pythonhosted.org/packages/source/b/backports.weakref/backports.weakref-1.0rc1.tar.gz # License13: BSD-3-Clause Source14: https://files.pythonhosted.org/packages/source/g/gast/gast-0.2.2.tar.gz # License15: MIT Source15: https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz#/farmhash.tar.gz # License17: Apache-2.0 Source17: https://github.com/google/gemmlowp/archive/12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip#/gemmlowp.zip # License18: BSD-3-Clause Source18: https://github.com/hfp/libxsmm/archive/1.9.tar.gz#/libxsmm_1.9.tar.gz # License19: Apache-2.0 Source19: https://github.com/abseil/abseil-cpp/archive/43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz#/abseil-cpp.tar.gz # License21: Apache-2.0 Source21: https://github.com/googleapis/googleapis/archive/f81082ea1e2f85c43649bee26e0d9871d4b41cdb.zip#/googleapis.zip # License23: BSD-3-Clause Source23: https://github.com/NVlabs/cub/archive/1.8.0.zip#/cub_1.8.0.zip # License24: Apache-2.0 Source24: https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz#/highwayhash.tar.gz # License26: MPL-2.0 # NOTE: tensorflow only uses MPL-2.0 part of eigen Source26: https://bitbucket.org/eigen/eigen/get/49177915a14a.tar.gz#/eigen.tar.gz # License27: BSD-2-Clause Source27: https://github.com/intel/ARM_NEON_2_x86_SSE/archive/1200fe90bb174a6224a525ee60148671a786a71f.tar.gz#/arm_neon_2_x86_sse.tar.gz # the command 'osc service localrun download_files' does not work on following URL # https://docs.python.org/2.7/_sources/license.rst.txt Source28: license.rst.txt # License30: FSFUL Source30: http://www.kurims.kyoto-u.ac.jp/~ooura/fft.tgz#/fft.tar.gz # License34: BSD-3-Clause and Intel Source34: https://github.com/edenhill/librdkafka/archive/v0.11.5.tar.gz#/kafka-v0.11.5.tar.gz # License35: Apache-2.0 Source35: https://github.com/GoogleCloudPlatform/google-cloud-cpp/archive/v0.10.0.tar.gz#/google-cloud-cpp.tar.gz # License36: Apache-2.0 Source36: https://github.com/nlopezgi/bazel-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz#/bazel-toolchains.tar.gz # License37: Apache-2.0 Source37: https://github.com/bazelbuild/rules_docker/archive/a9bb1dab84cdf46e34d1b34b53a17bda129b5eba.tar.gz#/rules_docker.tar.gz # License43: BSD and ICU License Source44: https://github.com/nanopb/nanopb/archive/f8ac463766281625ad710900479130c7fcb4d63b.tar.gz#/nanopb.tar.gz # Deps sources for Tensorflow-Lite (use same eigen, gemmlowp and abseil_cpp packages as non lite version) Source46: https://files.pythonhosted.org/packages/source/f/functools32/functools32-3.2.3-2.tar.gz Source47: https://github.com/pybind/pybind11/archive/v2.3.0.tar.gz#/pybind11-v2.3.0.tar.gz Source48: https://github.com/llvm-mirror/llvm/archive/7a7e03f906aada0cf4b749b51213fe5784eeff84.tar.gz#/llvm.tar.gz Source49: https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz#/kissfft.tar.gz Source50: https://github.com/intel/mkl-dnn/archive/v0.20.6.tar.gz#/mkl-dnn.tar.gz Source53: https://storage.googleapis.com/mirror.tensorflow.org/www.kurims.kyoto-u.ac.jp/~ooura/fft2d.tgz Source100: https://github.com/google/googletest/archive/release-1.8.0.tar.gz Source101: https://github.com/intel/ARM_NEON_2_x86_SSE/archive/master.zip#/ARM_NEON_2_x86_SSE-master.zip Patch0: removed-docker-tools.patch Patch1: right-json-location.patch Patch2: fix-lite.patch Patch3: Fix-build-failures-for-python-3.8.patch Patch4: Fix-TensorFlow-on-Python-3.8-logger-issue.patch Patch5: fix-mpi-build.patch Patch6: fix-google-absl-memory.patch # only for TW right now Patch10: json-feature-name.patch BuildRequires: bazel = 0.24.1 BuildRequires: boringssl-devel BuildRequires: curl BuildRequires: curl-devel BuildRequires: double-conversion-devel >= 3.1.5 BuildRequires: fdupes BuildRequires: fftw3-devel BuildRequires: flatbuffers-devel BuildRequires: giflib-devel BuildRequires: git BuildRequires: grpc-devel BuildRequires: hwloc-devel BuildRequires: jemalloc-devel BuildRequires: jsoncpp-devel BuildRequires: libicu-devel BuildRequires: libjpeg-devel BuildRequires: libjpeg-turbo BuildRequires: libjpeg62-devel BuildRequires: libnsync-devel BuildRequires: libpng16-compat-devel BuildRequires: libpng16-devel BuildRequires: lmdb-devel BuildRequires: nasm BuildRequires: pcre-devel BuildRequires: protobuf-devel BuildRequires: protobuf-java BuildRequires: python3 BuildRequires: python3-Cython BuildRequires: python3-Keras-Applications BuildRequires: python3-Keras-Preprocessing BuildRequires: python3-abseil BuildRequires: python3-astor BuildRequires: python3-base BuildRequires: python3-devel BuildRequires: python3-mock BuildRequires: python3-numpy-devel BuildRequires: python3-opt-einsum BuildRequires: python3-pip BuildRequires: python3-protobuf BuildRequires: python3-setuptools BuildRequires: python3-six BuildRequires: python3-termcolor BuildRequires: python3-wheel BuildRequires: python3-wrapt BuildRequires: re2-devel BuildRequires: snappy-devel BuildRequires: sqlite3-devel BuildRequires: swig BuildRequires: unzip BuildRequires: zlib-devel Requires: python3 Requires: python3-Keras-Applications Requires: python3-Keras-Preprocessing Requires: python3-abseil Requires: python3-astor Requires: python3-gast Requires: python3-pip Requires: python3-protobuf Requires: python3-termcolor Requires: python3-wrapt Conflicts: %{package_name_conflict} %if %{with hpc} Provides: %{package_name_provide} %endif %if %{with hpc} Requires: python3-numpy-%{compiler_family}%{?c_f_ver}-hpc %else Requires: python3-numpy %endif %if %{with hpc} Provides: python3-tensorflow-%{compiler_family}%{?c_f_ver}-hpc %else Provides: python3-tensorflow %endif %if %{with cuda} BuildRequires: cuda-compiler-10-1 BuildRequires: cuda-cufft-dev-10-1 BuildRequires: cuda-cupti-10-1 BuildRequires: cuda-curand-dev-10-1 BuildRequires: cuda-cusolver-dev-10-1 BuildRequires: cuda-cusparse-dev-10-1 BuildRequires: cuda-libraries-10-1 BuildRequires: libcublas-devel BuildRequires: libcudnn7-devel BuildRequires: libnccl2-devel %endif %if %{with opencl} BuildRequires: opencl-cpp-headers BuildRequires: opencl-headers Requires: Mesa-libOpenCL %endif %if 0%{?suse_version} < 1550 BuildRequires: libjpeg62-turbo %endif %if %{with hpc} BuildRequires: %{compiler_family}%{?c_f_ver}-compilers-hpc-macros-devel BuildRequires: lua-lmod BuildRequires: suse-hpc %hpc_requires %if %{with mpi} BuildRequires: %{mpi_flavor}%{?mpi_vers}-%{compiler_family}%{?c_f_ver}-hpc-macros-devel %endif %endif # just use rpmlint # there are some serious compiler warnings, regarding no-return-in-nonvoid-function #!BuildRequires: -post-build-checks %if "%flavor" == "" ExclusiveArch: do_not_build %endif %if %{is_lite} ExcludeArch: %ix86 %else ExcludeArch: %ix86 %arm %endif %description This open source software library for numerical computation is used for data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture enables you to deploy computation to one or more CPUs in a desktop, server, or mobile device without rewriting code. %{?with_hpc:%{hpc_master_package -a -L}} %package -n %{package_name}-devel Summary: Header files of tensorflow Group: Development/Languages/Python Requires: %{package_name} = %{version} Conflicts: %{package_name_conflict}-devel %if %{with hpc} Provides: %{package_name_provide}-devel %endif %description -n %{package_name}-devel This open source software library for numerical computation is used for data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture enables you to deploy computation to one or more CPUs in a desktop, server, or mobile device without rewriting code. This package provides necessary headers for the C/C++ Api %package -n %{package_name}-doc Summary: Examples from the tensorflow website Group: Documentation/Other Requires: %{package_name} = %{version} %description -n %{package_name}-doc This open source software library for numerical computation is used for data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture enables you to deploy computation to one or more CPUs in a desktop, server, or mobile device without rewriting code. This package provides examples from the website. %package -n libtensorflow%{libmaj}%{?hpc_package_name_tail} Summary: Shared library for tensorflow Group: Libraries %description -n libtensorflow%{libmaj}%{?hpc_package_name_tail} This open source software library for numerical computation is used for data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture enables you to deploy computation to one or more CPUs in a desktop, server, or mobile device without rewriting code. %package -n libtensorflow_cc%{libmaj}%{?hpc_package_name_tail} Summary: Shared library for tensorflow Group: Libraries %description -n libtensorflow_cc%{libmaj}%{?hpc_package_name_tail} This open source software library for numerical computation is used for data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture enables you to deploy computation to one or more CPUs in a desktop, server, or mobile device without rewriting code. %package -n libtensorflow_framework%{libmaj}%{?hpc_package_name_tail} Summary: Shared library for tensorflow Group: Libraries %description -n libtensorflow_framework%{libmaj}%{?hpc_package_name_tail} This open source software library for numerical computation is used for data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture enables you to deploy computation to one or more CPUs in a desktop, server, or mobile device without rewriting code. %prep %{?!python_module:%define python_module() python-%{**} python3-%{**}} # fighting bazel %define bazeldir %{_sourcedir}/BAZEL %define bz_cachdir %{_sourcedir}/BAZEL_CACHE # macro for removing nested directories %define sanitize_dir() _uglydir=$(ls -d *); shopt -s dotglob;mv $_uglydir/* .; rmdir $_uglydir # macro for copying the files to the bazel cache dir %define makebazelcache() mkdir -p %{bz_cachdir}/content_addressable/sha256/%{?2:%2}%{?!2:$(sha256sum %1 | cut -f 1 -d ' ')}/; cp %1 %{bz_cachdir}/content_addressable/sha256/%{?2:%2}%{?!2:$(sha256sum %1 | cut -f 1 -d ' ')}/file ; # make clean for rebuild mkdir -p %{bazeldir} #create right direcory for bazel cache which depends on the actual source file %makebazelcache %{SOURCE10} %makebazelcache %{SOURCE12} %makebazelcache %{SOURCE14} %makebazelcache %{SOURCE15} %makebazelcache %{SOURCE17} %makebazelcache %{SOURCE18} %makebazelcache %{SOURCE19} %makebazelcache %{SOURCE21} %makebazelcache %{SOURCE23} %makebazelcache %{SOURCE24} %makebazelcache %{SOURCE26} %makebazelcache %{SOURCE27} %makebazelcache %{SOURCE28} %makebazelcache %{SOURCE30} %makebazelcache %{SOURCE34} %makebazelcache %{SOURCE35} %makebazelcache %{SOURCE36} %makebazelcache %{SOURCE37} %makebazelcache %{SOURCE44} %makebazelcache %{SOURCE46} %makebazelcache %{SOURCE47} %makebazelcache %{SOURCE48} %makebazelcache %{SOURCE49} %makebazelcache %{SOURCE50} %makebazelcache %{SOURCE53} # unpack tensorflow %setup -q -c -n %{pname}-%{version} %sanitize_dir pwd %patch0 -p 1 %patch1 -p 1 %patch2 -p 1 %patch3 -p 1 %patch4 -p 1 %if %{with mpi} %patch5 -p 1 %endif %patch6 -p 1 %if 0%{?suse_version} > 1500 %patch10 -p 1 %endif %if %{is_lite} mkdir tensorflow/lite/tools/make/downloads/ pushd tensorflow/lite/tools/make/downloads/ # eigen, gemmlowp and abseil_cpp cp %{SOURCE26} %{SOURCE17} %{SOURCE19} . mkdir tmp tar xzf eigen.tar.gz -C tmp && mv tmp/* eigen unzip gemmlowp.zip -d tmp && mv tmp/* gemmlowp tar xzf %{SOURCE100} -C tmp && mv tmp/* fgoogletest tar xzf abseil-cpp.tar.gz -C tmp && mv tmp/* absl tar xzf %{SOURCE27} mv ARM_NEON_2_x86_SSE* neon_2_sse tar xzf %{SOURCE15} -C tmp && mv tmp/* farmhash # We use installed flatbuffers tar xzf %{SOURCE30} -C tmp && mv tmp/* fft2d # sed fixes from tensorflow/lite/tools/make/download_dependencies.sh sed -i -e 's#static uint32x4_t p4ui_CONJ_XOR = vld1q_u32( conj_XOR_DATA );#static uint32x4_t p4ui_CONJ_XOR; // = vld1q_u32( conj_XOR_DATA ); - Removed by script#' \ "./eigen/Eigen/src/Core/arch/NEON/Complex.h" sed -i -e 's#static uint32x2_t p2ui_CONJ_XOR = vld1_u32( conj_XOR_DATA );#static uint32x2_t p2ui_CONJ_XOR;// = vld1_u32( conj_XOR_DATA ); - Removed by scripts#' \ "./eigen/Eigen/src/Core/arch/NEON/Complex.h" sed -i -e 's#static uint64x2_t p2ul_CONJ_XOR = vld1q_u64( p2ul_conj_XOR_DATA );#static uint64x2_t p2ul_CONJ_XOR;// = vld1q_u64( p2ul_conj_XOR_DATA ); - Removed by script#' \ "./eigen/Eigen/src/Core/arch/NEON/Complex.h" find -name fixedpoint.h popd %endif %build export CC_PREFIX=ccache export CC_OPT_FLAGS=$CXXFLAGS ln -sf /.ccache/ ~/.ccache %if !%{is_lite} %endif %if %{is_lite} make %{?_smp_mflags} -f tensorflow/lite/tools/make/Makefile \ $(pwd)/tensorflow/lite/tools/make/gen/linux_$(uname -m)/lib/libtensorflow-lite.a \ $(pwd)/tensorflow/lite/tools/make/gen/linux_$(uname -m)/bin/minimal # Build of benchmark-lib.a is broken %else %if %{with hpc} %hpc_setup module load gnu %if %{with mpi} module load %mpi_flavor export MPI_HOME=${MPI_HOME:-$MPI_DIR} %endif #mpi %endif #hpc export TEST_TMPDIR=%{bazeldir} export PYTHON_LIB_PATH=%{python3_sitearch} export PYTHON_BIN_PATH=%{_bindir}/python3 export CC_OPT_FLAGS=-O2 export TF_NEED_JEMALLOC=0 export TF_NEED_GCP=0 export TF_NEED_HDFS=1 export TF_NEED_S3=1 export TF_ENABLE_XLA=0 export TF_NEED_VERBS=0 export TF_NEED_OPENCL=0 export TF_NEED_ROCM=0 export TF_SYSTEM_LIBS="\ absl_py,\ astor_archive,\ boringssl,\ com_google_protobuf,\ com_googlesource_code_re2,\ curl,\ cython,\ double_conversion,\ enum34_archive,\ flatbuffers,\ gif_archive,\ grpc,\ hwloc,\ icu,\ jsoncpp_git,\ jpeg,\ keras_applications_archive,\ lmdb,\ nasm,\ nsync,\ opt_einsum_archive,\ org_sqlite,\ pasta,\ pcre,\ png_archive,\ snappy,\ swig,\ six_archive,\ termcolor_archive,\ wrapt,\ zlib_archive" %if %{with cuda} export TF_NEED_CUDA=1 %else export TF_NEED_CUDA=0 %endif %if %{with mpi} export TF_NEED_MPI=1 %else export TF_NEED_MPI=0 %endif export TF_NEED_AWS=1 export TF_NEED_KAFKA=1 export TF_NEED_GDR=0 %if %{with opencl} export TF_NEED_OPENCL_SYCL=1 %else export TF_NEED_OPENCL_SYCL=0 %endif export TF_DOWNLOAD_CLANG=0 export ANDROID_NDK_HOME=0 # force the use python3 mkdir %{_topdir}/bin cd %{_topdir}/bin ln -s $(which python3) python export PATH=%{_topdir}/bin/:${PATH} cd - %ifarch x86_64 %define copt -c opt --config=avx_linux %else %define copt -c opt %endif ./configure bazel build \ --repository_cache=%{bz_cachdir} \ --ignore_unsupported_sandboxing \ --verbose_failures \ --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=1" \ --config=noaws \ %{?copts} --jobs %{?jobs} \ //tensorflow/tools/pip_package:build_pip_package bazel-bin/tensorflow/tools/pip_package/build_pip_package %{_topdir}/%{name}-%{version} bazel build \ --repository_cache=%{bz_cachdir} \ --ignore_unsupported_sandboxing \ --verbose_failures \ --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=1" \ --config=noaws \ %{?copts} --jobs %{?jobs} \ //tensorflow:libtensorflow.so bazel build \ --repository_cache=%{bz_cachdir} \ --ignore_unsupported_sandboxing \ --verbose_failures \ --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=1" \ --config=noaws \ %{?copts} --jobs %{?jobs} \ //tensorflow:libtensorflow_cc.so bazel build \ --repository_cache=%{bz_cachdir} \ --ignore_unsupported_sandboxing \ --verbose_failures \ --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=1" \ --config=noaws \ %{?copts} --jobs %{?jobs} \ //tensorflow:libtensorflow_framework.so # Generate protobuf (for armNN) - https://github.com/ARM-software/armnn/blob/branches/armnn_19_08/scripts/generate_tensorflow_protobuf.sh export OUTPUT_DIR=./pb/ mkdir -p $OUTPUT_DIR for i in `find -name *.proto`; do protoc $i \ --proto_path=. \ --proto_path=%{_includedir} \ --cpp_out=$OUTPUT_DIR done %endif %install %if %{is_lite} pushd tensorflow/lite/tools/make/gen/linux_*/ install -D bin/minimal %{buildroot}%{_bindir}/tflite_minimal install -D lib/libtensorflow-lite.a %{buildroot}%{_libdir}/libtensorflow-lite.a # Disable spurious-executable-perm chmod -x %{buildroot}%{_libdir}/libtensorflow-lite.a popd install -D tensorflow/lite/schema/schema_generated.h %{buildroot}%{_includedir}/tensorflow/lite/schema/schema_generated.h install -D tensorflow/lite/schema/schema.fbs %{buildroot}%{_includedir}/tensorflow/lite/schema/schema.fbs for file in `find tensorflow/lite -name \*.h`; do # Package header files - boo#1175099 install -D $file %{buildroot}%{_includedir}/$file # Disable spurious-executable-perm chmod -x %{buildroot}%{_includedir}/$file done %else pip install %{_topdir}/%{name}-%{version}/*whl --root=%{buildroot}%{?hpc_prefix} \ --no-warn-script-location --no-index --no-deps --no-compile # remove spurious executeable bits # for hpc build remove usr prefix dir %if %{with hpc} cd %{buildroot}%{?hpc_prefix} mv usr/* . cd - %endif %fdupes -s %{buildroot}%{?hpc_prefix} # install after fdupes cp -vd \ bazel-bin/tensorflow/libtensorflow.so \ bazel-bin/tensorflow/libtensorflow.so.%{libmaj} \ bazel-bin/tensorflow/libtensorflow.so.%{libmaj}.%{libmin}.%{libref} \ bazel-bin/tensorflow/libtensorflow_cc.so \ bazel-bin/tensorflow/libtensorflow_cc.so.%{libmaj} \ bazel-bin/tensorflow/libtensorflow_cc.so.%{libmaj}.%{libmin}.%{libref} \ bazel-bin/tensorflow/libtensorflow_framework.so \ bazel-bin/tensorflow/libtensorflow_framework.so.%{libmaj} \ bazel-bin/tensorflow/libtensorflow_framework.so.%{libmaj}.%{libmin}.%{libref} \ %{buildroot}%{package_libdir}/ find %{buildroot} -name \*.h -type f -exec chmod 644 {} + find %{buildroot} -name LICENSE\* -type f -exec chmod 644 {} + %if %{with hpc} sitesearch_path=`python3 -c "import sysconfig as s; print(s.get_paths(vars={'platbase':'%{hpc_prefix}','base':'%{hpc_prefix}'}).get('platlib'))"` %hpc_write_modules_files #%%Module1.0##################################################################### proc ModulesHelp { } { puts stderr " " puts stderr "This module loads the %{pname} built with the %{compiler_family} toolchain." puts stderr "\nVersion %{version}\n" } module-whatis "Name: %{pname} built with %{compiler_family} toolchain" module-whatis "Version: %{version}" module-whatis "Category: runtime library" module-whatis "Description: %{SUMMARY:0}" module-whatis "URL: %{url}" set version %{version} prepend-path PATH %{hpc_prefix}/bin prepend-path LD_LIBRARY_PATH %{hpc_prefix}/%_lib prepend-path TENSORFLOWDIR %{hpc_prefix} prepend-path PYTHONPATH ${sitesearch_path} if [ expr [ module-info mode load ] || [module-info mode display ] ] { if { ![is-loaded python3-numpy] } { module load python3-numpy } } %if %{with mpi} if [ expr [ module-info mode load ] || [module-info mode display ] ] { if { ![is-loaded %mpi_flavor] } { module load %mpi_flavor } } %endif %{hpc_modulefile_add_pkgconfig_path} EOF %endif # Install generated protobuf export OUTPUT_DIR=./pb/ find -name *.pb.* %if %{with hpc} mkdir -p %{buildroot}/%{package_python_sitelib}/tensorflow_core/include/tensorflow/ %endif cp -r $OUTPUT_DIR/tensorflow/* %{buildroot}/%{package_python_sitelib}/tensorflow_core/include/tensorflow/ # %%{is_lite} %endif %post -n libtensorflow%{libmaj}%{?hpc_package_name_tail} -p /sbin/ldconfig %postun -n libtensorflow%{libmaj}%{?hpc_package_name_tail} -p /sbin/ldconfig %post -n libtensorflow_cc%{libmaj}%{?hpc_package_name_tail} -p /sbin/ldconfig %postun -n libtensorflow_cc%{libmaj}%{?hpc_package_name_tail} -p /sbin/ldconfig %post -n libtensorflow_framework%{libmaj}%{?hpc_package_name_tail} -p /sbin/ldconfig %postun -n libtensorflow_framework%{libmaj}%{?hpc_package_name_tail} -p /sbin/ldconfig # Lite version is very different so package it separetly %if %{is_lite} %files %{package_bindir}/* %files -n %{package_name}-devel %{package_libdir}/libtensorflow-lite.a %dir %{_includedir}/tensorflow/lite/ %{_includedir}/tensorflow/lite/* %else # not lite build %files %defattr(-,root,root,-) %{package_bindir}/estimator_ckpt_converter %{package_bindir}/saved_model_cli %{package_bindir}/tensorboard %{package_bindir}/tf_upgrade_v2 %{package_bindir}/tflite_convert %{package_bindir}/freeze_graph %{package_bindir}/toco* %{package_python_sitearch}/tensorflow_core/* %{package_python_sitearch}/tensorflow-%{version}* %{package_python_sitearch}/tensorflow %exclude %{package_python_sitearch}/tensorflow_core/include %if %{with hpc} %hpc_modules_files %{package_python_sitelib}/tensorflow_core/* %exclude %{package_python_sitelib}/tensorflow_core/include %{package_libdir}/libtensorflow_framework.so.%{libmaj}* %{package_libdir}/libtensorflow_cc.so.%{libmaj}* %{package_libdir}/libtensorflow.so.%{libmaj}* %else %files -n libtensorflow_framework%{libmaj}%{?hpc_package_name_tail} %{package_libdir}/libtensorflow_framework.so.%{libmaj}* %files -n libtensorflow_cc%{libmaj}%{?hpc_package_name_tail} %{package_libdir}/libtensorflow_cc.so.%{libmaj}* %files -n libtensorflow%{libmaj}%{?hpc_package_name_tail} %{package_libdir}/libtensorflow.so.%{libmaj}* %files -n %{package_name}-doc %doc README.md RELEASE.md ACKNOWLEDGMENTS AUTHORS %license LICENSE %endif %files -n %{package_name}-devel %{package_python_sitelib}/tensorflow_core/include %{package_python_sitearch}/tensorflow_core/include %{package_libdir}/libtensorflow.so %{package_libdir}/libtensorflow_cc.so %{package_libdir}/libtensorflow_framework.so %endif %changelog
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