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tensorflow2
tensorflow2.spec
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File tensorflow2.spec of Package tensorflow2
# # spec file # # Copyright (c) 2021 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 tensorflow2 %define vers 2.6.2 # compatible versions used for dependencies %define base_vers_min 2.6 %define base_vers_max 2.7 #%%define cand -rc4 %define _vers 2_6_2 %define libmaj 2 %define libmin 6 %define libref 2 %define python_ver_hack python3.[0-9] %ifarch aarch64 %define mklconfig mkl_aarch64 %else %define mklconfig mkl %endif %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 %bcond_with cuda %bcond_with mpi %bcond_with opencl %define package_suffix -lite %endif %if "%{flavor}" == "hpc" %bcond_with cuda %bcond_with mpi %bcond_with opencl %bcond_without hpc %define compiler_family gnu %endif %if "%{flavor}" == "hpc-openmpi2" %define mpi_flavor openmpi %define mpi_vers 2 %bcond_with cuda %bcond_without mpi %bcond_with opencl %bcond_without hpc %define compiler_family gnu %endif %if "%{flavor}" == "hpc-mvapich2" %define mpi_flavor mvapich2 %bcond_with cuda %bcond_without mpi %bcond_with opencl %bcond_without hpc %define compiler_family gnu %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}} # hpc macros expect this, but we do not use python-rpm-macros %define python_flavor python3 %define package_name %{hpc_package_name %_vers} %define package_name_provide tensorflow2%{hpc_package_name_tail} %define package_name_conflict tensorflow%{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}/lib64/%{python_ver_hack}/site-packages/ %define package_prefix %hpc_prefix %define package_bindir %hpc_bindir %define package_libdir %hpc_libdir %define package_includedir %hpc_includedir %else %define package_name %pname%{?package_suffix} %define package_name_conflict tensorflow%{?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 package_includedir %_includedir %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}%{?cand}.tar.gz#/tensorflow-%{version}.tar.gz Source1: tensorflow2-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 # 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/fda83bdc38b118cc6b56753bd540caa49e570745.zip#/gemmlowp.zip # License18: BSD-3-Clause Source18: https://github.com/hfp/libxsmm/archive/1.14.tar.gz#/libxsmm_1.14.tar.gz # License19: Apache-2.0 Source19: https://github.com/abseil/abseil-cpp/archive/997aaf3a28308eba1b9156aa35ab7bca9688e9f6.tar.gz#/abseil-cpp.tar.gz # License21: Apache-2.0 Source21: https://github.com/googleapis/googleapis/archive/541b1ded4abadcc38e8178680b0677f65594ea6f.zip#/googleapis.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://gitlab.com/libeigen/eigen/-/archive/12e8d57108c50d8a63605c6eb0144c838c128337/eigen-12e8d57108c50d8a63605c6eb0144c838c128337.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 Source28: https://docs.python.org/2.7/_sources/license.rst.txt#/license.rst.txt # License35: Apache-2.0 Source35: https://github.com/googleapis/google-cloud-cpp/archive/v1.17.1.tar.gz#/google-cloud-cpp.tar.gz # License37: Apache-2.0 Source37: https://github.com/bazelbuild/rules_docker/releases/download/v0.18.0/rules_docker-v0.18.0.tar.gz#/rules_docker-0.18.0.tar.gz # License44: BSD like Source44: https://github.com/nanopb/nanopb/archive/f8ac463766281625ad710900479130c7fcb4d63b.tar.gz#/nanopb.tar.gz # License45: Python license itself, do need as sha256b have to match so could not use system one Source45: https://storage.googleapis.com/mirror.tensorflow.org/docs.python.org/2.7/_sources/license.rst.txt#/python-license.txt # License46: Another python2 license: Source46: https://raw.githubusercontent.com/simonpercivall/astunparse/v1.6.2/LICENSE#/python-license-astunparse # Deps sources for Tensorflow-Lite (use same eigen, gemmlowp and abseil_cpp packages as non lite version) # License53: BSD like Source53: https://storage.googleapis.com/mirror.tensorflow.org/www.kurims.kyoto-u.ac.jp/~ooura/fft2d.tgz # License54: Apache-2.0 WITH LLVM-exception OR NCSA Source54: https://github.com/llvm/llvm-project/archive/f7b1fa6f5ebec5780e626aa48d582f2519a01632.tar.gz#/llvm.tar.gz # License56: BSD-3-Clause Source56: https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz#/kissfft.tar.gz # Wrong rules package in Factory # License58: Apache-2.0 Source58: https://github.com/bazelbuild/rules_cc/archive/40548a2974f1aea06215272d9c2b47a14a24e556.tar.gz#/rules_cc.tar.gz # Source59: Apache-2.0 Source59: https://github.com/bazelbuild/rules_android/archive/v0.1.1.zip#/rules_android.zip # License60: BSD 2-Clause Source60: https://github.com/pytorch/cpuinfo/archive/5916273f79a21551890fd3d56fc5375a78d1598d.zip#/cpuinfo.zip # License23: BSD-3-Clause Source62: https://github.com/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz#/sobol_data.tar.gz # Source63: Apache-2.0 Source63: https://github.com/google/ruy/archive/e6c1b8dc8a8b00ee74e7268aac8b18d7260ab1ce.zip#/ruy.zip # License64: Apache-2.0 Source64: https://github.com/dmlc/dlpack/archive/3efc489b55385936531a06ff83425b719387ec63.tar.gz#/dlpack.tar.gz # License65: BSD like Source65: https://github.com/petewarden/OouraFFT/archive/v1.0.tar.gz#/DouraFFT.tar.gz # License66: BSD-3-Clause # Factory version does not work Source66: https://github.com/google/re2/archive/506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz#/re2.tar.gz # License67: Apache-2.0 WITH LLVM-exception OR NCSA Source67: https://github.com/llvm/llvm-project/releases/download/llvmorg-10.0.1/openmp-10.0.1.src.tar.xz # License68: Apache License 2.0 Source68: https://github.com/oneapi-src/oneDNN/archive/v2.3.tar.gz#/oneDNN.tar.gz # License69: BSD-2-Clause Source69: https://files.pythonhosted.org/packages/d3/41/901ef2e81d7b1e834b9870d416cb09479e175a2be1c4aa1a9dcd0a555293/tblib-1.7.0.tar.gz # License70: BSD-3-Clause Source70: https://files.pythonhosted.org/packages/e2/96/518a8ea959a734b70d2e95fef98bcbfdc7adad1c1e5f5dd9148c835205a5/dill-0.3.2.zip # License71: PSF Source71: https://files.pythonhosted.org/packages/6a/28/d32852f2af6b5ead85d396249d5bdf450833f3a69896d76eb480d9c5e406/typing_extensions-3.7.4.2.tar.gz # License72: Apache License 2.0 Source72: https://github.com/tensorflow/toolchains/archive/v1.1.21.tar.gz#/tf_toolchains.tar.gz # License73: Apache License 2.0 Source73: https://github.com/tensorflow/runtime/archive/b570a1921c9e55ac53c8972bd2bfd37cd0eb510d.tar.gz#/tf_runtime.tar.gz # License74: MIT Source74: https://github.com/ARM-software/ComputeLibrary/archive/v21.05.tar.gz#/ComputeLibrary.tar.gz # License75: Apache License 2.0 Source75: https://github.com/bazelbuild/platforms/releases/download/0.0.2/platforms-0.0.2.tar.gz # License76: Apache License 2.0 Source76: https://github.com/bazelbuild/rules_proto/archive/97d8af4dc474595af3900dd85cb3a29ad28cc313.tar.gz#/rules_proto.tar.gz # License77: Apache License 2.0 Source77: https://github.com/oneapi-src/oneDNN/archive/v2.3-rc2.tar.gz#/oneDNN-v2.3-rc2.tar.gz Source100: https://github.com/google/googletest/archive/release-1.8.0.tar.gz Patch10: tensorflow-2.6.0-removed-external-toolchains.patch # see https://github.com/tensorflow/tensorflow/pull/35943 Patch13: tensorflow-2.6.0-remove-weakref.patch Patch14: tensorflow-2.6.0-fix-lite.patch # Fix from upstream for gcc10.1 Patch20: tensorflow-2.6.0-removed-clog-build-as-included-in-cpuinfo.patch # Fix for numpy 1.20 -- https://stackoverflow.com/questions/66373169 , https://github.com/tensorflow/tensorflow/issues/47691 Patch21: tensorflow-2.6.0-numpy-tensor-small.patch # Fix for hdf5 3.0 -- https://github.com/tensorflow/tensorflow/issues/44467 Patch22: tensorflow-2.6.0-tf-keras-hdf5-3.patch # PATCH-FIX-OPENSUSE tensorflow-2.6.0-compile-with-protobuf-3.16.patch https://github.com/protocolbuffers/protobuf/pull/8354 Patch23: tensorflow-2.6.0-compile-with-protobuf-3.16.patch # cuda header is fetched on vanilla, disable it the hard way %if !%{is_lite} # See https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/pip_package/setup.py Requires: python3 Requires: python3-Keras-Preprocessing Requires: python3-abseil Requires: python3-astor Requires: python3-astunparse Requires: python3-flatbuffers Requires: python3-gast Requires: python3-h5py Requires: python3-opt-einsum Requires: python3-protobuf Requires: python3-six Requires: python3-termcolor Requires: python3-wrapt Requires: (python3-keras >= %{base_vers_min} with python3-keras < %{base_vers_max}) Requires: (python3-tensorboard >= %{base_vers_min} with python3-tensorboard < %{base_vers_max}) Requires: (python3-tensorflow-estimator >= %{base_vers_min} with python3-tensorflow-estimator < %{base_vers_max}) %if %{with hpc} Requires: python3-numpy-%{compiler_family}%{?c_f_ver}-hpc %else Requires: python3-numpy %endif Requires: python3-pip %endif %if !%{is_lite} %if %{with hpc} Provides: python3-tensorflow-%{compiler_family}%{?c_f_ver}-hpc %else Provides: python3-tensorflow %endif Provides: tensorflow %endif %if !%{is_lite} BuildRequires: bazel == 3.7.2 #BuildRequires: bazel-rules-cc-source #BuildRequires: bazel-apple-support-source #BuildRequires: bazel-rules-apple-source BuildRequires: bazel-rules-java-source BuildRequires: bazel-rules-proto-source BuildRequires: bazel-rules-python-source BuildRequires: bazel-rules-swift-source BuildRequires: bazel-skylib-source >= 1.0.3 BuildRequires: bazel-toolchains-source BuildRequires: bazel-workspaces #BuildRequires: bazel-rules-foreign-cc-source %endif BuildRequires: curl %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: libnccl-devel %endif %if %{with opencl} Requires: Mesa-libOpenCL BuildRequires: opencl-cpp-headers BuildRequires: opencl-headers %endif BuildRequires: boringssl-devel BuildRequires: curl-devel BuildRequires: double-conversion-devel >= 3.1.5 BuildRequires: fdupes BuildRequires: fftw3-devel BuildRequires: flatbuffers-devel BuildRequires: giflib-devel BuildRequires: git %if 0%{?suse_version} > 1500 %if %{with cuda} # use gcc-7 for build with cuda, as nvcc can not handle # gcc9 BuildRequires: gcc7 BuildRequires: gcc7-c++ %endif %endif BuildRequires: grpc-devel BuildRequires: jemalloc-devel BuildRequires: jsoncpp-devel BuildRequires: libicu-devel BuildRequires: libjpeg-turbo BuildRequires: libnsync-devel %if 0%{?suse_version} < 1599 BuildRequires: libjpeg62-turbo %endif BuildRequires: libjpeg-devel BuildRequires: libjpeg62-devel BuildRequires: libpng16-compat-devel BuildRequires: libpng16-devel BuildRequires: lmdb-devel BuildRequires: memory-constraints BuildRequires: nasm # Requiring 3.9.1 which is the actual one in Leap 15.2 BuildRequires: protobuf-devel >= 3.9.1 BuildRequires: protobuf-java BuildRequires: python-pybind11-common-devel BuildRequires: python3 BuildRequires: python3-Cython %if !%{is_lite} BuildRequires: python3-Keras-Preprocessing BuildRequires: python3-abseil BuildRequires: python3-astor BuildRequires: python3-astunparse BuildRequires: python3-base BuildRequires: python3-devel BuildRequires: python3-flatbuffers BuildRequires: python3-gast BuildRequires: python3-h5py 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 %endif BuildRequires: snappy-devel BuildRequires: sqlite3-devel BuildRequires: swig BuildRequires: unzip BuildRequires: upb-devel BuildRequires: zlib-devel %if !%{is_lite} BuildRequires: (python3-keras >= %{base_vers_min} with python3-keras < %{base_vers_max}) BuildRequires: (python3-tensorboard >= %{base_vers_min} with python3-tensorboard < %{base_vers_max}) BuildRequires: (python3-tensorflow-estimator >= %{base_vers_min} with python3-tensorflow-estimator < %{base_vers_max}) %endif %if %{with hpc} %hpc_requires BuildRequires: %{compiler_family}%{?c_f_ver}-compilers-hpc-macros-devel BuildRequires: lua-lmod BuildRequires: suse-hpc %if %{with mpi} BuildRequires: %{mpi_flavor}%{?mpi_vers}-%{compiler_family}%{?c_f_ver}-hpc-macros-devel %endif %endif %if %{with hpc} Provides: %{package_name_provide} %endif Conflicts: %{package_name_conflict} # 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 %if 0%{?suse_version} < 1599 # Leap: Do not build since python3-numpy and python3-scipy are too old for Keras/TF2 ExclusiveArch: do_not_build %else # Tumbleweed ExcludeArch: %ix86 %arm %endif %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} %if %{with hpc} Provides: %{package_name_provide}-devel %endif Conflicts: %{package_name_conflict}-devel %if !%{is_lite} Requires: libtensorflow%{libmaj}%{?hpc_package_name_tail} = %{version} Requires: libtensorflow_cc%{libmaj}%{?hpc_package_name_tail} = %{version} Requires: libtensorflow_framework%{libmaj}%{?hpc_package_name_tail} = %{version} %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. %ifarch x86_64 %package -n libiomp5%{?hpc_package_name_tail} Summary: Shared library for tensorflow Group: Libraries %description -n libiomp5%{?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. %endif %prep # 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 %{SOURCE15} %makebazelcache %{SOURCE17} %makebazelcache %{SOURCE18} %makebazelcache %{SOURCE19} %makebazelcache %{SOURCE21} %makebazelcache %{SOURCE24} %makebazelcache %{SOURCE26} %makebazelcache %{SOURCE27} %makebazelcache %{SOURCE28} %makebazelcache %{SOURCE35} %makebazelcache %{SOURCE44} %makebazelcache %{SOURCE45} %makebazelcache %{SOURCE46} %makebazelcache %{SOURCE53} %makebazelcache %{SOURCE54} %makebazelcache %{SOURCE56} %makebazelcache %{SOURCE58} %makebazelcache %{SOURCE59} %makebazelcache %{SOURCE60} %makebazelcache %{SOURCE62} %makebazelcache %{SOURCE63} %makebazelcache %{SOURCE64} %makebazelcache %{SOURCE65} %makebazelcache %{SOURCE66} %makebazelcache %{SOURCE67} %makebazelcache %{SOURCE68} %makebazelcache %{SOURCE69} %makebazelcache %{SOURCE70} %makebazelcache %{SOURCE71} %makebazelcache %{SOURCE72} %makebazelcache %{SOURCE73} %makebazelcache %{SOURCE74} %makebazelcache %{SOURCE75} %makebazelcache %{SOURCE76} %makebazelcache %{SOURCE77} # unpack tensorflow %setup -q -c -n %{pname}-%{version} %sanitize_dir %patch10 -p 2 %patch13 -p 2 %patch14 -p 2 %patch20 -p 2 %patch21 -p 2 %patch22 -p 2 # https://github.com/protocolbuffers/protobuf/pull/8354 if pkg-config --atleast-version 3.16.0 protobuf; then %patch23 -p 2 fi %define make_depend_src() test -e $(basename %{1}| sed 's/-.*//') && rmdir %{?2}%{!?2:$(basename %{1}| sed 's/-.*//')}; test -e %{2} && rmdir %{2}; tar xzf %{1}; mv $(basename %{1} | sed 's/\.tar\.gz//' ) %{?2}%{!?2:$(basename %{1}| sed 's/-.*//')} # extract bazel rules cd %{bazeldir} %make_depend_src %{S:37} cd - %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 unzip %{SOURCE63} -d tmp && mv tmp/* ruy unzip %{SOURCE60} -d tmp && mv tmp/* cpuinfo 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 %{SOURCE53} -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 %if !%{is_lite} %limit_build -m 6000 %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 %endif # remove external repos #rm /home/abuild/rpmbuild/SOURCES/BAZEL/_bazel_abuild/48d1e3f2f1a94ce79e8483f24416e037/external/bazel_toolchains/repositories/repositories.bzl cp -r /usr/src/bazel-toolchains /home/abuild/rpmbuild/SOURCES/bazel-toolchains export TEST_TMPDIR=%{bazeldir} export PYTHON_LIB_PATH=%{python3_sitearch} export PYTHON_BIN_PATH=/usr/bin/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,\ astunparse_archive,\ boringssl,\ com_github_googlecloudplatform_google_cloud_cpp,\ com_github_grpc_grpc,\ com_google_protobuf,\ curl,\ cython,\ double_conversion,\ enum34_archive,\ flatbuffers,\ functools32_archive,\ gast_archive,\ gif,\ hwloc,\ icu,\ libjpeg_turbo,\ jsoncpp_git,\ lmdb,\ nasm,\ nsync,\ opt_einsum_archive,\ org_sqlite,\ pasta,\ png,\ pybind11,\ six_archive,\ snappy,\ termcolor_archive,\ wrapt,\ zlib" #com_googlesource_code_re2,\ %if %{with cuda} export PATH=PATH="/usr/local/cuda-10.1/bin/:${PATH}" export CUDA_HOME="/usr/local/cuda-10.1,/usr" export CUDA_TOOLKIT_PATH=/"usr/local/cuda-10.1,/usr" export TF_CUDA_PATHS="/usr/local/cuda-10.1,/usr" export TF_NEED_CUDA=1 export TF_NCCL_VERSION=2.7.3 %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_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 %if 0%{?suse_version} > 1500 %if %{with cuda} ln -s $(which gcc-7) gcc ln -s $(which g++-7) g++ %endif %endif export PATH=%{_topdir}/bin/:${PATH} cd - ./configure %define bazelopts \\\ -s -c opt \\\ --repository_cache=%{bz_cachdir} \\\ --ignore_unsupported_sandboxing \\\ --verbose_failures \\\ --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=1" \\\ --config=%{mklconfig} \\\ --config=nonccl \\\ --config=v2 \\\ --config=noaws \\\ --override_repository="upb=/usr/share/bazel-workspaces/upb" \\\ --override_repository="bazel_skylib=/usr/src/bazel-skylib"\\\ --override_repository="bazel_toolchains=/home/abuild/rpmbuild/SOURCES/bazel-toolchains" \\\ --override_repository="rules_java=/usr/src/bazel-rules-java" \\\ --override_repository="build_bazel_rules_swift=/usr/src/bazel-rules-swift" \\\ --override_repository="rules_python=/usr/src/bazel-rules-python" \\\ --override_repository="io_bazel_rules_docker=%{bazeldir}/rules_docker" \\\ --jobs %{?jobs} \\\ %{nil} # --override_repository="build_bazel_rules_apple=/usr/src/bazel-rules-apple" \\\ # --override_repository="build_bazel_apple_support=/usr/src/bazel-apple-support" \\\ # --override_repository="rules_cc=/usr/src/bazel-rules-cc" \\\ bazel build %{bazelopts} tensorflow/tools/pip_package:build_pip_package bazel-bin/tensorflow/tools/pip_package/build_pip_package %{_topdir}/%{name}-%{version} # 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 bazel build \ %bazelopts \ //tensorflow:libtensorflow.so bazel build \ %bazelopts \ //tensorflow:libtensorflow_cc.so bazel build \ %bazelopts \ //tensorflow:libtensorflow_framework.so bazel build \ %bazelopts \ --config opt //tensorflow/tools/lib_package:libtensorflow %endif # is_lite %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 install -D tensorflow/core/public/version.h %{buildroot}%{_includedir}/tensorflow/core/public/version.h chmod -x %{buildroot}%{_includedir}/tensorflow/core/public/version.h # Install tensorflow-lite.pc mkdir -p %{buildroot}%{_libdir}/pkgconfig cat <<EOF > %{buildroot}%{_libdir}/pkgconfig/tensorflow-lite.pc Name: tensorflow lite Description: tensorflow lite static library Version: %{vers} Libs: -L%{_libdir} -ltensorflow-lite -lflatbuffers Cflags: -I%{_includedir} EOF # Some tools expect tensorflow2-lite.pc pushd %{buildroot}%{_libdir}/pkgconfig ln -s tensorflow-lite.pc tensorflow2-lite.pc popd %else pip install %{_topdir}/%{name}-%{version}/*whl --root=%{buildroot}%{?hpc_prefix} \ --no-warn-script-location --no-index --no-deps --no-compile # install C-headers pushd . cd %{buildroot}%{?hpc_prefix}/usr/ tar -xzf %{_topdir}/BUILD/%{pname}-%{version}/bazel-bin/tensorflow/tools/lib_package/libtensorflow.tar.gz mv lib/lib*.so* lib64/ mv LICENSE THIRD_PARTY_TF_C_LICENSES %{_topdir}/BUILD/%{pname}-%{version}/ popd # remove spurious executeable bits # for hpc build remove usr prefix dir %if %{with hpc} cd %{buildroot}%{?hpc_prefix} mv usr/* . rmdir usr #mv lib/%{python_ver_hack}/site-packages/tensorflow_core/include/* lib64/%{python_ver_hack}/site-packages/tensorflow_core/include/ rm -r lib cd - %else # Generate and install pkgconfig files for non-hpc - tensorflow.pc and tensorflow_cc.pc sh tensorflow/c/generate-pc.sh --prefix=/usr --libdir %{_lib} --version %{vers} mkdir -p %{buildroot}%{package_libdir}/pkgconfig cp *.pc %{buildroot}%{package_libdir}/pkgconfig %endif # install libtensorflow*.so #install -D bazel-bin/tensorflow/libtensorflow.so %{buildroot}%{package_libdir}/libtensorflow.so %fdupes -s %{buildroot}%{?hpc_prefix} # install after fdupes cp -vd \ bazel-bin/tensorflow/libtensorflow_cc.so \ bazel-bin/tensorflow/libtensorflow_cc.so.%{libmaj} \ bazel-bin/tensorflow/libtensorflow_cc.so.%{libmaj}.%{libmin}.%{libref} \ %{buildroot}%{package_libdir}/ %ifarch x86_64 mv %{buildroot}/%{package_python_sitearch}/_solib_k8/_U_S_Sthird_Uparty_Smkl_Cmkl_Ulibs_Ulinux___Uexternal_Sllvm_Uopenmp/libiomp5.so %{buildroot}/%{package_libdir}/ # Fix symlink pushd %{buildroot}%{package_python_sitearch}/tensorflow/include/external/llvm_openmp/ rm libiomp5.so ln -s %{package_libdir}/libiomp5.so popd %endif 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 mkdir -p %{buildroot}/%{package_python_sitelib}/tensorflow_core/include/tensorflow/ export OUTPUT_DIR=./pb/ #find -name *.pb.* 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 %if %{is_lite} %files # Lite version is very different so package it separetly %{package_bindir}/* %files -n %{package_name}-devel %{package_libdir}/libtensorflow-lite.a %dir %{_includedir}/tensorflow/lite/ %{_includedir}/tensorflow/lite/* %dir %{_includedir}/tensorflow/core/public/ %{_includedir}/tensorflow/core/public/version.h %{package_libdir}/pkgconfig/*.pc %else %files # not lite build %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}/toco* %{package_bindir}/import_pb_to_tensorboard #%%{package_python_sitearch}/tensorflow_core/* %{package_python_sitearch}/tensorflow-%{version}* %{package_python_sitearch}/tensorflow #%%{package_python_sitelib}/tensorflow/ %exclude %{package_python_sitelib}/tensorflow_core/include %exclude %{package_python_sitelib}/tensorflow/include %exclude %{package_python_sitearch}/tensorflow/include %if %{with hpc} %hpc_modules_files %endif %files -n %{package_name}-devel %{package_python_sitelib}/tensorflow_core/include #%%{package_python_sitearch}/tensorflow_core/include %{package_includedir}/tensorflow/ %{package_libdir}/libtensorflow.so %{package_libdir}/libtensorflow_cc.so %{package_libdir}/libtensorflow_framework.so %if %{without hpc} %{package_libdir}/pkgconfig/*.pc %endif %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}* %ifarch x86_64 %files -n libiomp5%{?hpc_package_name_tail} %{package_libdir}/libiomp5.so %endif %files -n %{package_name}-doc #%%{package_python_sitelib}/tensorflow/examples %license THIRD_PARTY_TF_C_LICENSES LICENSE %endif %changelog
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