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# 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=6
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-${_pkgver}-opt-native-cuda
export TMP=/tmp
# These environment variables influence the behavior of the configure call below.
export PYTHON_BIN_PATH=/usr/bin/python
export USE_DEFAULT_PYTHON_LIB_PATH=1
export TF_NEED_JEMALLOC=1
export TF_NEED_KAFKA=1
export TF_NEED_OPENCL_SYCL=0
export TF_NEED_AWS=1
export TF_NEED_GCP=1
export TF_NEED_HDFS=1
export TF_NEED_S3=1
export TF_ENABLE_XLA=1
export TF_NEED_GDR=0
export TF_NEED_VERBS=0
export TF_NEED_OPENCL=0
export TF_NEED_MPI=0
export TF_NEED_TENSORRT=0
export TF_NEED_NGRAPH=0
export TF_NEED_IGNITE=0
export TF_NEED_ROCM=0
# See https://github.com/tensorflow/tensorflow/blob/master/third_party/systemlibs/syslibs_configure.bzl
export TF_SYSTEM_LIBS="boringssl,curl,cython,gif,icu,libjpeg_turbo,lmdb,nasm,pcre,png,pybind11,zlib"
export TF_SET_ANDROID_WORKSPACE=0
export TF_DOWNLOAD_CLANG=0
export TF_NCCL_VERSION=2.7
export TF_IGNORE_MAX_BAZEL_VERSION=1
export TF_MKL_ROOT=/opt/intel/mkl
export NCCL_INSTALL_PATH=/usr
export GCC_HOST_COMPILER_PATH=/usr/bin/gcc-9
export HOST_C_COMPILER=/usr/bin/gcc-9
export HOST_CXX_COMPILER=/usr/bin/g++-9
export TF_CUDA_CLANG=0 # Clang currently disabled because it's not compatible at the moment.
export CLANG_CUDA_COMPILER_PATH=/usr/bin/clang
export TF_CUDA_PATHS=/opt/cuda,/usr/lib,/usr
export TF_CUDA_VERSION=$(/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}"
if [[ "${COMPUTE_CAPABILITIES}" =~ "3.0" ]]; then
export TF_ENABLE_XLA=0
echo -e "\e[1mDisabling XLA because compute capability 3.0 is requested\e[0m"
fi
CC_ARR=($(echo "$COMPUTE_CAPABILITIES" | tr ',' '\n'))
echo "Compute capabilities: ${CC_ARR[@]}"
FIXED_CC=""
for cc in "${CC_ARR[@]}"; do
#echo "Testing $cc..."
if [[ $(echo "$cc < 3" | bc -l) == 1 ]]; then
echo -e "\e[1mWarning, compute capability $cc is not compatible with tensorflow, REMOVING\e[0m"
else
if [[ -z "$FIXED_CC" ]]; then
FIXED_CC+="$cc"
else
FIXED_CC+=",$cc"
fi
fi
done
echo -e "Fixed compute capabilities: \e[1m$FIXED_CC\e[0m"
COMPUTE_CAPABILITIES="$FIXED_CC"
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 -Wno-deprecated-gpu-targets"
_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:
|