# Maintainer: enihcam pkgbase=tensorflow-computecpp pkgname=(tensorflow-computecpp python-tensorflow-computecpp) pkgver=1.9 pkgrel=5 pkgdesc="Library for computation using data flow graphs for scalable machine learning (backend with ComputeCpp)" url="https://github.com/codeplaysoftware/tensorflow" epoch=1 license=('APACHE') arch=('x86_64') depends=(opencl-icd-loader computecpp) makedepends=(git opencl-icd-loader computecpp cmake opencl-headers python-numpy python-pip python-wheel python-setuptools java-environment=8) options=(!ccache) source=("git+${url}" #"https://github.com/bazelbuild/bazel/releases/download/0.17.2/bazel-0.17.2-dist.zip" "https://archive.org/download/archlinux_pkg_bazel/bazel-0.17.2-1-x86_64.pkg.tar.xz" python37.patch py37.diff gcc1.diff gcc2.diff gcc3.diff) sha256sums=('SKIP' '758e10caff4c1cb496d1cf49d6f4da2969b610b174276fb734b8502686d07ddd' 'ef54b3783a05b5604cd8f448136567686806ad3a5759978f48549256807a8394' 'b3997091bc7a32f9e8c062a88e9148273090ebf66aeebb5dc055baa41b7aae7e' '7d9f32a46cac83ec1a7308ac380226cdf40f98830c869bcdf5feb7bf110abf9a' '10de738141852cfebae9847b746ae9b58f3b3985561cccede929d8fbdba93551' '742abe5d8bfd3f7ce33778a08cbb233337db56238d11ac2ad07171b0d6097bfb') prepare() { # 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_DOWNLOAD_CLANG=0 export TF_CUDA_CLANG=0 export TF_NEED_CUDA=0 export TF_NEED_JEMALLOC=0 export TF_NEED_GCP=0 export TF_NEED_HDFS=0 export TF_ENABLE_XLA=0 export TF_NEED_GDR=0 export TF_NEED_VERBS=0 export TF_NEED_MPI=0 export TF_NEED_S3=0 export TF_NEED_KAFKA=0 export TF_NEED_TENSORRT=0 export TF_SET_ANDROID_WORKSPACE=0 export TF_NEED_OPENCL=1 export TF_NEED_OPENCL_SYCL=1 export TF_NEED_COMPUTECPP=1 export COMPUTECPP_TOOLKIT_PATH=/opt/ComputeCpp-CE export COMPUTE=:0 # Device-sensitive magic, these should work on as much hardware as possible export TF_USE_HALF_SYCL=0 export TF_USE_DOUBLE_SYCL=0 export TF_SYCL_BITCODE_TARGET=spir64 export CC_OPT_FLAGS="-march=native -mfpmath=sse -O2 -pipe" # -sycl-compress-name for some amd cards # make sure the proxy variables are in all caps, otherwise bazel ignores them export HTTP_PROXY=`echo $http_proxy | sed -e 's/\/$//'` export HTTPS_PROXY=`echo $https_proxy | sed -e 's/\/$//'` cd ${srcdir}/tensorflow git apply --index ../python37.patch git apply --index --whitespace=nowarn ../py37.diff git apply --index --whitespace=nowarn ../gcc1.diff git apply --index --whitespace=nowarn ../gcc2.diff git apply --index --whitespace=nowarn ../gcc3.diff } build() { # Build bazel echo "Please note: currently, bazel version <0.18 is required to build this package." echo "Fixing that for you" # "Building it temporarily..." cd "$srcdir" # ./compile.sh export PATH=`pwd`/usr/bin:$PATH cd ${srcdir}/tensorflow if [ ! -f .bazelrc ]; then # configure should be in prepare, but bazel has to be built first atm ./configure fi # Please take notice this requires at least 7GB of swap/disk space and 0.8+(3.2*threads)GB of RAM to build bazel build -c opt --config=sycl //tensorflow:libtensorflow.so \ //tensorflow/tools/pip_package:build_pip_package # --jobs 1 --verbose_failures bazel-bin/tensorflow/tools/pip_package/build_pip_package ${srcdir}/tmp } package_tensorflow-computecpp() { conflicts=(tensorflow) provides=(tensorflow) cd ${srcdir}/tensorflow tensorflow/c/generate-pc.sh --prefix=/usr --version=${pkgver} install -Dm644 tensorflow.pc ${pkgdir}/usr/lib/pkgconfig/tensorflow.pc install -Dm755 bazel-bin/tensorflow/libtensorflow.so ${pkgdir}/usr/lib/libtensorflow.so install -Dm755 bazel-bin/tensorflow/libtensorflow_framework.so ${pkgdir}/usr/lib/libtensorflow_framework.so install -Dm644 tensorflow/c/c_api.h ${pkgdir}/usr/include/tensorflow/c/c_api.h install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE } package_python-tensorflow-computecpp() { conflicts=(python-tensorflow) provides=(python-tensorflow) depends=(python-numpy python-protobuf absl-py) optdepends=('python-werkzeug: for using tensorboard') cd ${srcdir}/tensorflow WHEEL_PACKAGE=$(find ${srcdir}/tmp -name "tensor*.whl") pip install --ignore-installed --upgrade --root $pkgdir/ $WHEEL_PACKAGE --no-dependencies --no-warn-script-location # 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 }