blob: b4df961e2a40a85942e7a458a2c2135ae29459b3 [file] [log] [blame]
# Copyright 1999-2019 Jason Zaman
# Distributed under the terms of the GNU General Public License v2
EAPI=7
DISTUTILS_OPTIONAL=1
PYTHON_COMPAT=( python2_7 python{3_5,3_6,3_7} )
MY_PV=${PV/_rc/-rc}
MY_P=${PN}-${MY_PV}
inherit check-reqs cros-bazel cuda distutils-r1 flag-o-matic toolchain-funcs
DESCRIPTION="Computation framework using data flow graphs for scalable machine learning"
HOMEPAGE="https://www.tensorflow.org/"
LICENSE="Apache-2.0"
SLOT="0"
KEYWORDS="*"
IUSE="cuda mpi minimal +python label_image benchmark_model"
CPU_USE_FLAGS_X86="sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma3 fma4"
for i in $CPU_USE_FLAGS_X86; do
IUSE+=" cpu_flags_x86_$i"
done
# distfiles that bazel uses for the workspace, will be copied to basel-distdir
bazel_external_uris="
http://www.kurims.kyoto-u.ac.jp/~ooura/fft.tgz -> oourafft-20061228.tgz
https://bitbucket.org/eigen/eigen/get/a0d250e79c79.tar.gz -> eigen-a0d250e79c79.tar.gz
https://github.com/abseil/abseil-cpp/archive/daf381e8535a1f1f1b8a75966a74e7cca63dee89.tar.gz -> abseil-cpp-daf381e8535a1f1f1b8a75966a74e7cca63dee89.tar.gz
https://github.com/bazelbuild/bazel-skylib/archive/0.6.0.tar.gz -> bazel-skylib-0.6.0.tar.gz
https://github.com/bazelbuild/rules_closure/archive/cf1e44edb908e9616030cc83d085989b8e6cd6df.tar.gz -> bazelbuild-rules_closure-cf1e44edb908e9616030cc83d085989b8e6cd6df.tar.gz
https://github.com/bazelbuild/rules_docker/archive/b8ff6a85ec359db3fd5657accd3e524daf12016d.tar.gz -> rules_docker-b8ff6a85ec359db3fd5657accd3e524daf12016d.tar.gz
https://github.com/bazelbuild/rules_swift/releases/download/0.9.0/rules_swift.0.9.0.tar.gz -> bazelbuild-rules_swift.0.9.0.tar.gz
https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz -> farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
https://github.com/google/gemmlowp/archive/12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip -> gemmlowp-12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip
https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
https://github.com/intel/ARM_NEON_2_x86_SSE/archive/1200fe90bb174a6224a525ee60148671a786a71f.tar.gz -> ARM_NEON_2_x86_SSE-1200fe90bb174a6224a525ee60148671a786a71f.tar.gz
https://github.com/nlopezgi/bazel-toolchains/archive/94d31935a2c94fe7e7c7379a0f3393e181928ff7.tar.gz -> bazel-toolchains-94d31935a2c94fe7e7c7379a0f3393e181928ff7.tar.gz
cuda? (
https://github.com/nvidia/nccl/archive/f93fe9bfd94884cec2ba711897222e0df5569a53.tar.gz -> nvidia-nccl-f93fe9bfd94884cec2ba711897222e0df5569a53.tar.gz
https://github.com/NVlabs/cub/archive/1.8.0.zip -> cub-1.8.0.zip
)
python? (
http://mirror.tensorflow.org/docs.python.org/2.7/_sources/license.rst.txt -> tensorflow-1.14.0-python-license.rst.txt
https://pypi.python.org/packages/bc/cc/3cdb0a02e7e96f6c70bd971bc8a90b8463fda83e264fa9c5c1c98ceabd81/backports.weakref-1.0rc1.tar.gz
)"
SRC_URI="https://github.com/${PN}/${PN}/archive/v${MY_PV}.tar.gz -> ${P}.tar.gz
${bazel_external_uris}"
RDEPEND="
>=dev-libs/flatbuffers-1.8.0
>=dev-libs/protobuf-3.6.0:=
!minimal? (
app-arch/snappy
dev-db/lmdb
dev-db/sqlite
dev-libs/icu
>=dev-libs/jsoncpp-1.8.4
dev-libs/libpcre
dev-libs/nsync
dev-libs/openssl:0=
>=dev-libs/re2-0.2018.04.01
media-libs/giflib
media-libs/libjpeg-turbo
media-libs/libpng:0
>=net-libs/grpc-1.16.0
net-misc/curl
sys-libs/zlib
>=sys-apps/hwloc-2
)
cuda? (
>=dev-util/nvidia-cuda-toolkit-9.1[profiler]
dev-libs/cudnn
)
mpi? ( virtual/mpi )
python? (
${PYTHON_DEPS}
dev-python/absl-py[${PYTHON_USEDEP}]
>=dev-python/astor-0.7.1[${PYTHON_USEDEP}]
dev-python/gast[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
dev-python/google-pasta[${PYTHON_USEDEP}]
>=dev-python/protobuf-python-3.6.0[${PYTHON_USEDEP}]
dev-python/six[${PYTHON_USEDEP}]
dev-python/termcolor[${PYTHON_USEDEP}]
dev-python/grpcio[${PYTHON_USEDEP}]
>=dev-python/wrapt-1.11.1[${PYTHON_USEDEP}]
>=net-libs/google-cloud-cpp-0.9.0
>=sci-libs/keras-applications-1.0.6[${PYTHON_USEDEP}]
>=sci-libs/keras-preprocessing-1.0.5[${PYTHON_USEDEP}]
>=sci-visualization/tensorboard-1.13.0[${PYTHON_USEDEP}]
virtual/python-enum34[${PYTHON_USEDEP}]
)"
DEPEND="${RDEPEND}
python? (
dev-python/mock
)"
PDEPEND="python? (
>=sci-libs/tensorflow-estimator-1.13.0[${PYTHON_USEDEP}]
)"
BDEPEND="
app-arch/unzip
>=dev-libs/flatbuffers-1.8.0
>=dev-libs/protobuf-3.6.0
|| (
=dev-util/bazel-0.24*
=dev-util/bazel-0.26*
=dev-util/bazel-0.27*
)
cuda? (
>=dev-util/nvidia-cuda-toolkit-9.1[profiler]
)
!python? ( dev-lang/python )
python? (
dev-lang/swig
dev-python/grpcio-tools
dev-python/mock
dev-python/cython
)"
REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} !minimal )"
S="${WORKDIR}/${MY_P}"
PATCHES=(
"${FILESDIR}/tensorflow-1.14.0-0001-systemlibs-unbundle-enum34.patch"
"${FILESDIR}/tensorflow-1.14.0-0002-linker-option-z-defs.patch"
"${FILESDIR}/tensorflow-1.14.0-0003-eigen-include-sstream.patch"
"${FILESDIR}/tensorflow-1.14.0-0004-neon-2-sse-header.patch"
"${FILESDIR}/tensorflow-1.14.0-0005-nnapi-android-sdk-version.patch"
"${FILESDIR}/tensorflow-1.14.0-0006-label-image-nnapi.patch"
"${FILESDIR}/tensorflow-1.14.0-0007-flatbuffers-deps.patch"
)
DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
CHECKREQS_MEMORY="5G"
CHECKREQS_DISK_BUILD="5G"
get-cpu-flags() {
local i f=()
# Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
use cpu_flags_x86_${i} && f+=( -m${i/_/.} )
done
use cpu_flags_x86_fma3 && f+=( -mfma )
echo "${f[*]}"
}
# Echos the CPU string that TensorFlow uses to refer to the given architecture.
get-cpu-str() {
local arch
arch="$(tc-arch "${1}")"
case "${arch}" in
amd64) echo "k8";;
arm) echo "arm";;
arm64) echo "arm";;
*) die "Unsupported architecture '${arch}'."
esac
}
pkg_setup() {
local num_pythons_enabled
num_pythons_enabled=0
count_impls(){
num_pythons_enabled=$((${num_pythons_enabled} + 1))
}
use python && python_foreach_impl count_impls
# 5 G to build C/C++ libs, 5G per python impl
CHECKREQS_DISK_BUILD="$((5 + 5 * $num_pythons_enabled))G"
check-reqs_pkg_setup
}
src_unpack() {
# Only unpack the main distfile
unpack "${P}.tar.gz"
bazel_load_distfiles "${bazel_external_uris}"
}
src_prepare() {
export JAVA_HOME=$(ROOT="${BROOT}" java-config --jdk-home)
append-flags $(get-cpu-flags)
# Exceptions are required for jsoncpp.
! use minimal && cros_enable_cxx_exceptions
# Can cause linker errors with full TF with relr relocations.
if tc-ld-is-lld; then
append-ldflags "-Wl,--pack-dyn-relocs=none"
elif tc-ld-is-gold; then
append-ldflags "-Wl,--no-experimental-use-relr"
fi
bazel_setup_bazelrc
bazel_setup_crosstool "$(get-cpu-str "${CBUILD}")" "$(get-cpu-str "${CHOST}")"
default
use python && python_copy_sources
use cuda && cuda_add_sandbox
}
src_configure() {
do_configure() {
export CC_OPT_FLAGS=" "
export TF_ENABLE_XLA=0
export TF_NEED_OPENCL_SYCL=0
export TF_NEED_OPENCL=0
export TF_NEED_COMPUTECPP=0
export TF_NEED_ROCM=0
export TF_NEED_MPI=$(usex mpi 1 0)
export TF_SET_ANDROID_WORKSPACE=0
if use python; then
python_export PYTHON_SITEDIR
export PYTHON_BIN_PATH="${PYTHON}"
export PYTHON_LIB_PATH="${PYTHON_SITEDIR}"
else
export PYTHON_BIN_PATH="$(which python)"
export PYTHON_LIB_PATH="$(python -c 'from distutils.sysconfig import *; print(get_python_lib())')"
fi
export TF_NEED_CUDA=$(usex cuda 1 0)
export TF_DOWNLOAD_CLANG=0
export TF_CUDA_CLANG=0
export TF_NEED_TENSORRT=0
if use cuda; then
export TF_CUDA_PATHS="${EPREFIX%/}/opt/cuda"
export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)"
export TF_CUDA_VERSION="$(cuda_toolkit_version)"
export TF_CUDNN_VERSION="$(cuda_cudnn_version)"
einfo "Setting CUDA version: $TF_CUDA_VERSION"
einfo "Setting CUDNN version: $TF_CUDNN_VERSION"
fi
local SYSLIBS=(
absl_py
astor_archive
boringssl
com_github_googleapis_googleapis
com_github_googlecloudplatform_google_cloud_cpp
com_google_protobuf
com_google_protobuf_cc
com_googlesource_code_re2
curl
cython
double_conversion
enum34_archive
flatbuffers
gast_archive
gif_archive
grpc
hwloc
icu
jpeg
jsoncpp_git
keras_applications_archive
lmdb
nasm
nsync
org_sqlite
pasta
pcre
png_archive
protobuf_archive
six_archive
snappy
swig
termcolor_archive
wrapt
zlib_archive
)
export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
export TF_IGNORE_MAX_BAZEL_VERSION=1
# This is not autoconf
./configure || die
echo 'build --config=noaws --config=nohdfs --config=noignite --config=nokafka' >> .bazelrc || die
echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
echo 'build --incompatible_no_support_tools_in_action_inputs=false' >> .bazelrc || die
}
if use python; then
python_foreach_impl run_in_build_dir do_configure
else
do_configure
fi
}
src_compile() {
if use python; then
python_setup
BUILD_DIR="${S}-${EPYTHON/./_}"
cd "${BUILD_DIR}"
fi
# fail early if any deps are missing
ebazel build --nobuild \
$(usex minimal '' '
//tensorflow:libtensorflow_framework.so
//tensorflow:libtensorflow.so
//tensorflow:libtensorflow_cc.so') \
//tensorflow/lite:libtensorflowlite.so \
//tensorflow/lite/kernels/internal:install_nnapi_extra_headers \
"$(usex label_image '
//tensorflow/lite/examples/label_image:label_image' '')" \
"$(usex benchmark_model '
//tensorflow/lite/tools/benchmark:benchmark_model' '')" \
"$(usex python '//tensorflow/tools/pip_package:build_pip_package' '')"
ebazel build \
$(usex minimal '' '
//tensorflow:libtensorflow_framework.so
//tensorflow:libtensorflow.so
//tensorflow:libtensorflow_cc.so') \
//tensorflow/lite:libtensorflowlite.so \
//tensorflow/lite/kernels/internal:install_nnapi_extra_headers \
"$(usex label_image '
//tensorflow/lite/examples/label_image:label_image' '')" \
"$(usex benchmark_model '
//tensorflow/lite/tools/benchmark:benchmark_model' '')"
do_compile() {
ebazel build //tensorflow/tools/pip_package:build_pip_package
}
BUILD_DIR="${S}"
cd "${BUILD_DIR}"
use python && python_foreach_impl run_in_build_dir do_compile
ebazel shutdown
}
src_install() {
local i j
if ! use minimal; then
do_install() {
einfo "Installing TF ${EPYTHON} files"
local srcdir="${T}/src-${MULTIBUILD_VARIANT}"
mkdir -p "${srcdir}" || die
bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "${srcdir}" || die
cd "${srcdir}" || die
esetup.py install
# libtensorflow_framework.so is in /usr/lib already
python_export PYTHON_SITEDIR PYTHON_SCRIPTDIR
rm -f "${D}/${PYTHON_SITEDIR}"/${PN}/lib${PN}_framework.so* || die
python_optimize
}
if use python; then
python_foreach_impl run_in_build_dir do_install
# Symlink to python-exec scripts
for i in "${ED}"/usr/lib/python-exec/*/*; do
n="${i##*/}"
[[ -e "${ED}/usr/bin/${n}" ]] || dosym ../lib/python-exec/python-exec2 "/usr/bin/${n}"
done
python_setup
local BUILD_DIR="${S}-${EPYTHON/./_}"
cd "${BUILD_DIR}" || die
fi
einfo "Installing TF headers"
ebazel build //tensorflow:install_headers
ebazel shutdown
insinto /usr/include/${PN}/
doins -r bazel-genfiles/tensorflow/include/*
einfo "Installing TF libs"
# Generate pkg-config file
${PN}/c/generate-pc.sh --prefix="${EPREFIX}"/usr --libdir=$(get_libdir) --version=${MY_PV} || die
insinto /usr/$(get_libdir)/pkgconfig
doins ${PN}.pc
for l in libtensorflow{,_framework,_cc}.so; do
dolib.so bazel-bin/tensorflow/${l}
dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1)
dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1-3)
done
fi
einfo "Installing TF lite headers"
# From tensorflow/lite/lib_package/create_ios_frameworks.sh
find ${PN}/lite -name "*.h" \
-not -path "${PN}/lite/tools/*" \
-not -path "${PN}/lite/examples/*" \
-not -path "${PN}/lite/gen/*" \
-not -path "${PN}/lite/toco/*" \
-not -path "${PN}/lite/nnapi/*" \
-not -path "${PN}/lite/java/*" |
while read -r i; do
insinto "/usr/include/${PN}/${i%/*}"
doins "${i}"
done
if use minimal; then
einfo "Installing selected TF core headers"
local selected=( lib/bfloat16/bfloat16.h platform/byte_order.h platform/macros.h )
for i in "${selected[@]}"; do
insinto "/usr/include/${PN}/${PN}/core/${i%/*}"
doins "${PN}/core/${i}"
done
fi
einfo "Installing NNAPI headers"
insinto /usr/include/${PN}/nnapi/
doins -r bazel-genfiles/tensorflow/lite/kernels/internal/include
einfo "Installing TF lite libraries"
dolib.so bazel-bin/tensorflow/lite/lib${PN}lite.so
if use label_image; then
einfo "Install label_image example"
dobin bazel-bin/tensorflow/lite/examples/label_image/label_image
fi
if use benchmark_model; then
einfo "Install benchmark_model tool"
dobin bazel-bin/tensorflow/lite/tools/benchmark/benchmark_model
fi
einstalldocs
}