diff options
Diffstat (limited to 'PKGBUILD')
-rw-r--r-- | PKGBUILD | 258 |
1 files changed, 258 insertions, 0 deletions
diff --git a/PKGBUILD b/PKGBUILD new file mode 100644 index 000000000000..75ab30693e44 --- /dev/null +++ b/PKGBUILD @@ -0,0 +1,258 @@ +# Maintainer: Antoine Viallon <antoine@lesviallon.fr> +# Maintainer (repos): Sven-Hendrik Haase <svenstaro@gmail.com> +# Maintainer (repos): Konstantin Gizdov (kgizdov) <arch@kge.pw> +# Contributor: Adria Arrufat (archdria) <adria.arrufat+AUR@protonmail.ch> +# Contributor: Thibault Lorrain (fredszaq) <fredszaq@gmail.com> + +pkgbase=tensorflow-opt-native +pkgname=(tensorflow-opt-native tensorflow-opt-native-cuda python-tensorflow-opt-native python-tensorflow-opt-native-cuda) +pkgver=2.3.1 +_pkgver=2.3.1 +pkgrel=5 +pkgdesc="Library for computation using data flow graphs for scalable machine learning (with CFLAGS)" +url="https://www.tensorflow.org/" +license=('APACHE') +arch=('x86_64') +depends=('c-ares' 'intel-mkl' 'onednn' 'pybind11' 'openssl-1.0' 'lmdb' 'libpng' 'curl' 'giflib' 'icu' 'libjpeg-turbo') +makedepends=('bazel' 'python-numpy' 'cuda' 'nvidia-utils' 'nccl' 'git' 'gcc9' + 'cudnn' 'python-pip' 'python-wheel' 'python-setuptools' 'python-h5py' + 'python-keras-applications' 'python-keras-preprocessing' + 'cython') +optdepends=('tensorboard: Tensorflow visualization toolkit') +source=("$pkgname-$pkgver.tar.gz::https://github.com/tensorflow/tensorflow/archive/v${_pkgver}.tar.gz" + https://github.com/tensorflow/tensorflow/commit/c6769e20bf6096d5828e2590def2b25edb3189d6.patch + numpy1.20.patch::https://github.com/tensorflow/tensorflow/commit/75ea0b31477d6ba9e990e296bbbd8ca4e7eebadf.patch + cuda11.1.patch + fix-h5py3.0.patch + build-against-actual-mkl.patch) +sha512sums=('e497ef4564f50abf9f918be4522cf702f4cf945cb1ebf83af1386ac4ddc7373b3ba70c7f803f8ca06faf2c6b5396e60b1e0e9b97bfbd667e733b08b6e6d70ef0' + '9dcaef0dd4fdd7008a27e383ef87c97990ba883a3094f214f821a039994933ec6ec47f5a832570e5c4b783e0493ce2236e7957e596395c4dee40f9bf2621ff2f' + 'df2e0373e2f63b8766f31933f7db57f6a7559b8f03af1db51644fba87731451a7cd3895529a3192e5394612fcb42f245b794b1c9ca3c05881ca03a547c8c9acc' + '0caa5170c22fdea2c708ecdb2c980d668464d9dba9c9730a9ec5e9258572576d783fa1d19da04d5f9d2b06aed36d30971526f212fc64c53d09c3e821bd1a3b5d' + '9d7b71fed280ffaf4dfcd4889aa9ab5471874c153259f3e77ed6e6efa745e5c5aa8507d3d1f71dead5b6f4bea5f8b1c10c543929f37a6580c3f4a7cbec338a6a' + 'e51e3f3dced121db3a09fbdaefd33555536095584b72a5eb6f302fa6fa68ab56ea45e8a847ec90ff4ba076db312c06f91ff672e08e95263c658526582494ce08') + +get_pyver () { + python -c 'import sys; print(str(sys.version_info[0]) + "." + str(sys.version_info[1]))' +} + +check_dir() { + if [ -d "${1}" ]; then + return 0 + else + >&2 echo Directory "${1}" does not exist or is a file! Exiting... + exit 1 + fi +} + +prepare() { + # Allow any bazel version + echo "*" > tensorflow-${_pkgver}/.bazelversion + + # Tensorflow actually wants to build against a slimmed down version of Intel MKL called MKLML + # See https://github.com/intel/mkl-dnn/issues/102 + # MKLML version that Tensorflow wants to use is https://github.com/intel/mkl-dnn/releases/tag/v0.21 + patch -Np1 -d tensorflow-${_pkgver} -i "$srcdir"/build-against-actual-mkl.patch + + # Fix wrong SONAME being shipped in CUDA 11.1 + patch -Np1 -d tensorflow-${_pkgver} -i "$srcdir"/cuda11.1.patch + + # Compile with C++17 by default (FS#65953) + #sed -i "s/c++14/c++17/g" tensorflow-${_pkgver}/.bazelrc + + patch -Np1 -d tensorflow-${_pkgver} -i "$srcdir"/numpy1.20.patch + + # FS#68488 + patch -Np1 -d tensorflow-${_pkgver} -i "$srcdir"/fix-h5py3.0.patch + + cp -r tensorflow-${_pkgver} tensorflow-${_pkgver}-opt-native + cp -r tensorflow-${_pkgver} tensorflow-${_pkgver}-opt-native-cuda + + # These environment variables influence the behavior of the configure call below. + export PYTHON_BIN_PATH=/usr/bin/python + export USE_DEFAULT_PYTHON_LIB_PATH=1 + export TF_NEED_JEMALLOC=1 + export TF_NEED_KAFKA=1 + export TF_NEED_OPENCL_SYCL=0 + export TF_NEED_AWS=1 + export TF_NEED_GCP=1 + export TF_NEED_HDFS=1 + export TF_NEED_S3=1 + export TF_ENABLE_XLA=1 + export TF_NEED_GDR=0 + export TF_NEED_VERBS=0 + export TF_NEED_OPENCL=0 + export TF_NEED_MPI=0 + export TF_NEED_TENSORRT=0 + export TF_NEED_NGRAPH=0 + export TF_NEED_IGNITE=0 + export TF_NEED_ROCM=0 + # See https://github.com/tensorflow/tensorflow/blob/master/third_party/systemlibs/syslibs_configure.bzl + export TF_SYSTEM_LIBS="boringssl,curl,cython,gif,icu,libjpeg_turbo,lmdb,nasm,pcre,png,pybind11,zlib" + export TF_SET_ANDROID_WORKSPACE=0 + export TF_DOWNLOAD_CLANG=0 + export TF_NCCL_VERSION=2.7 + export TF_IGNORE_MAX_BAZEL_VERSION=1 + export TF_MKL_ROOT=/opt/intel/mkl + export NCCL_INSTALL_PATH=/usr + export GCC_HOST_COMPILER_PATH=/usr/bin/gcc-9 + export HOST_C_COMPILER=/usr/bin/gcc-9 + export HOST_CXX_COMPILER=/usr/bin/g++-9 + export TF_CUDA_CLANG=0 # Clang currently disabled because it's not compatible at the moment. + export CLANG_CUDA_COMPILER_PATH=/usr/bin/clang + export TF_CUDA_PATHS=/opt/cuda,/usr/lib,/usr + export TF_CUDA_VERSION=$(/opt/cuda/bin/nvcc --version | sed -n 's/^.*release \(.*\),.*/\1/p') + export TF_CUDNN_VERSION=$(sed -n 's/^#define CUDNN_MAJOR\s*\(.*\).*/\1/p' /usr/include/cudnn_version.h) + if [[ -z "$COMPUTE_CAPABILITIES" ]]; then + COMPUTE_CAPABILITIES=5.2,5.3,6.0,6.1,6.2,7.0,7.2,7.5,8.0,8.6 + else + echo -e "\e[1mCUDA compute capabilites overriden by env: \e[0m${COMPUTE_CAPABILITIES}" + fi + export TF_CUDA_COMPUTE_CAPABILITIES=$COMPUTE_CAPABILITIES + + # Required until https://github.com/tensorflow/tensorflow/issues/39467 is fixed. + export CC=gcc-9 + export CXX=g++-9 + + export BAZEL_ARGS="--config=mkl -c opt --copt=-I/usr/include/openssl-1.0 --host_copt=-I/usr/include/openssl-1.0 --linkopt=-l:libssl.so.1.0.0 --linkopt=-l:libcrypto.so.1.0.0 --host_linkopt=-l:libssl.so.1.0.0 --host_linkopt=-l:libcrypto.so.1.0.0" +} + +build() { + echo "Building without cuda and with native optimizations" + cd "${srcdir}"/tensorflow-${_pkgver}-opt-native + export CC_OPT_FLAGS="$CFLAGS -O3 -funsafe-math-optimizations" + + _copts=() + for copt in $CC_OPT_FLAGS; do + _copts+=(--copt="$copt") + done + echo ${_copts} + echo ${_copts[@]} + + export TF_NEED_CUDA=0 + ./configure + bazel \ + build --config=avx2_linux \ + ${BAZEL_ARGS[@]} \ + ${_copts[@]} \ + //tensorflow:libtensorflow.so \ + //tensorflow:libtensorflow_cc.so \ + //tensorflow:install_headers \ + //tensorflow/tools/pip_package:build_pip_package + bazel-bin/tensorflow/tools/pip_package/build_pip_package "${srcdir}"/tmpopt + + + echo "Building with cuda and with non-x86-64 optimizations" + cd "${srcdir}"/tensorflow-${_pkgver}-opt-native-cuda + export CC_OPT_FLAGS="$CFLAGS -O3 -funsafe-math-optimizations" + export TF_NEED_CUDA=1 + export TF_CUDA_CLANG=0 + ./configure + bazel \ + build --config=avx2_linux \ + ${BAZEL_ARGS[@]} \ + ${_copts[@]} \ + //tensorflow:libtensorflow.so \ + //tensorflow:libtensorflow_cc.so \ + //tensorflow:install_headers \ + //tensorflow/tools/pip_package:build_pip_package + bazel-bin/tensorflow/tools/pip_package/build_pip_package --gpu "${srcdir}"/tmpoptcuda +} + +_package() { + # install headers first + install -d "${pkgdir}"/usr/include/tensorflow + cp -r bazel-bin/tensorflow/include/* "${pkgdir}"/usr/include/tensorflow/ + # install python-version to get all extra headers + WHEEL_PACKAGE=$(find "${srcdir}"/$1 -name "tensor*.whl") + pip install --ignore-installed --upgrade --root "${pkgdir}"/ $WHEEL_PACKAGE --no-dependencies + # move extra headers to correct location + local _srch_path="${pkgdir}/usr/lib/python$(get_pyver)"/site-packages/tensorflow/include + check_dir "${_srch_path}" # we need to quit on broken search paths + find "${_srch_path}" -maxdepth 1 -mindepth 1 -type d -print0 | while read -rd $'\0' _folder; do + cp -nr "${_folder}" "${pkgdir}"/usr/include/tensorflow/ + done + # clean up unneeded files + rm -rf "${pkgdir}"/usr/bin + rm -rf "${pkgdir}"/usr/lib + rm -rf "${pkgdir}"/usr/share + + # install the rest of tensorflow + tensorflow/c/generate-pc.sh --prefix=/usr --version=${pkgver} + sed -e 's@/include$@/include/tensorflow@' -i tensorflow.pc -i tensorflow_cc.pc + install -Dm644 tensorflow.pc "${pkgdir}"/usr/lib/pkgconfig/tensorflow.pc + install -Dm644 tensorflow_cc.pc "${pkgdir}"/usr/lib/pkgconfig/tensorflow_cc.pc + install -Dm755 bazel-bin/tensorflow/libtensorflow.so "${pkgdir}"/usr/lib/libtensorflow.so.${pkgver} + ln -s libtensorflow.so.${pkgver} "${pkgdir}"/usr/lib/libtensorflow.so.${pkgver:0:1} + ln -s libtensorflow.so.${pkgver:0:1} "${pkgdir}"/usr/lib/libtensorflow.so + install -Dm755 bazel-bin/tensorflow/libtensorflow_cc.so "${pkgdir}"/usr/lib/libtensorflow_cc.so.${pkgver} + ln -s libtensorflow_cc.so.${pkgver} "${pkgdir}"/usr/lib/libtensorflow_cc.so.${pkgver:0:1} + ln -s libtensorflow_cc.so.${pkgver:0:1} "${pkgdir}"/usr/lib/libtensorflow_cc.so + install -Dm755 bazel-bin/tensorflow/libtensorflow_framework.so "${pkgdir}"/usr/lib/libtensorflow_framework.so.${pkgver} + ln -s libtensorflow_framework.so.${pkgver} "${pkgdir}"/usr/lib/libtensorflow_framework.so.${pkgver:0:1} + ln -s libtensorflow_framework.so.${pkgver:0:1} "${pkgdir}"/usr/lib/libtensorflow_framework.so + install -Dm644 tensorflow/c/c_api.h "${pkgdir}"/usr/include/tensorflow/tensorflow/c/c_api.h + install -Dm644 LICENSE "${pkgdir}"/usr/share/licenses/${pkgname}/LICENSE +} + +_python_package() { + WHEEL_PACKAGE=$(find "${srcdir}"/$1 -name "tensor*.whl") + pip install --ignore-installed --upgrade --root "${pkgdir}"/ $WHEEL_PACKAGE --no-dependencies + + # create symlinks to headers + local _srch_path="${pkgdir}/usr/lib/python$(get_pyver)"/site-packages/tensorflow/include/ + check_dir "${_srch_path}" # we need to quit on broken search paths + find "${_srch_path}" -maxdepth 1 -mindepth 1 -type d -print0 | while read -rd $'\0' _folder; do + rm -rf "${_folder}" + _smlink="$(basename "${_folder}")" + ln -s /usr/include/tensorflow/"${_smlink}" "${_srch_path}" + done + + # tensorboard has been separated from upstream but they still install it with + # tensorflow. I don't know what kind of sense that makes but we have to clean + # it out from this pacakge. + rm -rf "${pkgdir}"/usr/bin/tensorboard + + install -Dm644 LICENSE "${pkgdir}"/usr/share/licenses/${pkgname}/LICENSE +} + +package_tensorflow-opt-native() { + pkgdesc="Library for computation using data flow graphs for scalable machine learning (with CPU optimizations)" + conflicts=(tensorflow) + provides=(tensorflow) + + cd "${srcdir}"/tensorflow-${_pkgver}-opt-native + _package tmpopt +} + +package_tensorflow-opt-native-cuda() { + pkgdesc="Library for computation using data flow graphs for scalable machine learning (with CUDA and CPU optimizations)" + depends+=(cuda cudnn nccl) + conflicts=(tensorflow) + provides=(tensorflow tensorflow-cuda) + + cd "${srcdir}"/tensorflow-${_pkgver}-opt-native-cuda + _package tmpoptcuda +} + +package_python-tensorflow-opt-native() { + pkgdesc="Library for computation using data flow graphs for scalable machine learning (with CPU optimizations)" + depends+=(tensorflow-opt python-termcolor python-astor python-gast python-numpy python-protobuf absl-py python-h5py python-keras-applications python-keras-preprocessing python-tensorflow-estimator python-opt_einsum python-astunparse python-pasta) + conflicts=(python-tensorflow) + provides=(python-tensorflow) + + cd "${srcdir}"/tensorflow-${_pkgver}-opt-native + _python_package tmpopt +} + +package_python-tensorflow-opt-native-cuda() { + pkgdesc="Library for computation using data flow graphs for scalable machine learning (with CUDA and CPU optimizations)" + depends+=(tensorflow-opt-native-cuda python-termcolor python-astor python-gast python-numpy cuda cudnn python-pycuda python-protobuf absl-py nccl python-h5py python-keras-applications python-keras-preprocessing python-tensorflow-estimator python-opt_einsum python-astunparse python-pasta) + conflicts=(python-tensorflow) + provides=(python-tensorflow python-tensorflow-cuda) + + cd "${srcdir}"/tensorflow-${_pkgver}-opt-native-cuda + _python_package tmpoptcuda +} + +# vim:set ts=2 sw=2 et: |