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# Maintainer: PY Chuang <pychuang@pm.me>
# Almost all content in this script is copied from the Arch official package's PKGBUILD
# -------------------------------------------------------------------------------------
# Contributor: Sven-Hendrik Haase <svenstaro@gmail.com>
# Contributor: Konstantin Gizdov (kgizdov) <arch@kge.pw>
# Contributor: Adria Arrufat (archdria) <adria.arrufat+AUR@protonmail.ch>
# Contributor: Thibault Lorrain (fredszaq) <fredszaq@gmail.com>
pkgbase='tensorflow-cuda-kepler'
pkgname=('tensorflow-cuda-kepler' 'python-tensorflow-cuda-kepler')
pkgver=2.3.1
pkgrel=3
pkgdesc="TensorFlow compiled with Kepler GPU supports (e.g., K20, K40, K80, etc.) only."
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${pkgver}.tar.gz"
"https://github.com/tensorflow/tensorflow/commit/c6769e20bf6096d5828e2590def2b25edb3189d6.patch"
"numpy1.20.patch::https://github.com/tensorflow/tensorflow/commit/75ea0b31477d6ba9e990e296bbbd8ca4e7eebadf.patch"
"cuda11.1.patch::https://raw.githubusercontent.com/archlinux/svntogit-community/packages/tensorflow/trunk/cuda11.1.patch"
"build-against-actual-mkl.patch::https://raw.githubusercontent.com/archlinux/svntogit-community/packages/tensorflow/trunk/build-against-actual-mkl.patch"
)
sha512sums=(
'e497ef4564f50abf9f918be4522cf702f4cf945cb1ebf83af1386ac4ddc7373b3ba70c7f803f8ca06faf2c6b5396e60b1e0e9b97bfbd667e733b08b6e6d70ef0'
'9dcaef0dd4fdd7008a27e383ef87c97990ba883a3094f214f821a039994933ec6ec47f5a832570e5c4b783e0493ce2236e7957e596395c4dee40f9bf2621ff2f'
'df2e0373e2f63b8766f31933f7db57f6a7559b8f03af1db51644fba87731451a7cd3895529a3192e5394612fcb42f245b794b1c9ca3c05881ca03a547c8c9acc'
'0caa5170c22fdea2c708ecdb2c980d668464d9dba9c9730a9ec5e9258572576d783fa1d19da04d5f9d2b06aed36d30971526f212fc64c53d09c3e821bd1a3b5d'
'e51e3f3dced121db3a09fbdaefd33555536095584b72a5eb6f302fa6fa68ab56ea45e8a847ec90ff4ba076db312c06f91ff672e08e95263c658526582494ce08'
)
get_pyver () {
python -c 'import sys; print(str(sys.version_info[0]) + "." + str(sys.version_info[1]))'
}
check_dir() {
if [ -d "${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 "$srcdir"/numpy1.20.patch
mv tensorflow-${pkgver} tensorflow-${pkgver}-cuda-kepler
}
build() {
echo "Building with cuda and without non-x86-64 optimizations"
cd "${srcdir}"/tensorflow-${pkgver}-cuda-kepler
# environment variable for configuring
export CC_OPT_FLAGS="-march=x86-64"
export TF_NEED_CUDA=1
export PYTHON_BIN_PATH=/usr/bin/python
export USE_DEFAULT_PYTHON_LIB_PATH=1
export TF_NEED_JEMALLOC=1
export TF_NEED_KAFKA=1
export TF_NEED_OPENCL_SYCL=0
export TF_NEED_AWS=1
export TF_NEED_GCP=1
export TF_NEED_HDFS=1
export TF_NEED_S3=1
export TF_ENABLE_XLA=1
export TF_NEED_GDR=0
export TF_NEED_VERBS=0
export TF_NEED_OPENCL=0
export TF_NEED_MPI=0
export TF_NEED_TENSORRT=0
export TF_NEED_NGRAPH=0
export TF_NEED_IGNITE=0
export TF_NEED_ROCM=0
export TF_SYSTEM_LIBS="boringssl,curl,cython,gif,icu,libjpeg_turbo,lmdb,nasm,pcre,png,pybind11,zlib"
export TF_SET_ANDROID_WORKSPACE=0
export TF_DOWNLOAD_CLANG=0
export TF_NCCL_VERSION=2.7
export TF_IGNORE_MAX_BAZEL_VERSION=1
export TF_MKL_ROOT=/opt/intel/mkl
export NCCL_INSTALL_PATH=/usr
export GCC_HOST_COMPILER_PATH=/usr/bin/gcc-9
export HOST_C_COMPILER=/usr/bin/gcc-9
export HOST_CXX_COMPILER=/usr/bin/g++-9
export TF_CUDA_CLANG=0 # Clang currently disabled because it's not compatible at the moment.
export CLANG_CUDA_COMPILER_PATH=/usr/bin/clang
export TF_CUDA_PATHS=/opt/cuda,/usr/lib,/usr
export TF_CUDA_VERSION=$(/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)
export TF_CUDA_COMPUTE_CAPABILITIES=3.5,3.7
# 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"
# run configure
./configure
# build
bazel \
build \
${BAZEL_ARGS[@]} \
//tensorflow:libtensorflow.so \
//tensorflow:libtensorflow_cc.so \
//tensorflow:install_headers \
//tensorflow/tools/pip_package:build_pip_package
bazel-bin/tensorflow/tools/pip_package/build_pip_package --gpu "${srcdir}"/tmpcuda
}
_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/${pkgname}/LICENSE
}
package_tensorflow-cuda-kepler() {
depends+=('cuda' 'cudnn' 'nccl')
conflicts=('tensorflow')
provides=('tensorflow')
cd "${srcdir}"/tensorflow-${pkgver}-cuda-kepler
_package tmpcuda
}
package_python-tensorflow-cuda-kepler() {
depends+=(
'tensorflow-cuda-kepler' 'python-termcolor' 'python-astor' 'python-gast'
'python-numpy' 'cuda' 'cudnn' 'python-pycuda' 'python-protobuf' 'absl-py'
'nccl' 'python-h5py' 'python-keras-applications' 'python-keras-preprocessing'
'python-tensorflow-estimator' 'python-opt_einsum' 'python-astunparse'
'python-pasta'
)
conflicts=('python-tensorflow')
provides=('python-tensorflow')
cd "${srcdir}"/tensorflow-${pkgver}-cuda-kepler
_python_package tmpcuda
}
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