[gentoo-commits] repo/gentoo:master commit in: sci-libs/tensorflow/

[Jason Zaman]

commit:     82a04476b0dd7ea1628495350b035908e72c1d94
Author:     Jason Zaman <perfinion <AT> gentoo <DOT> org>
AuthorDate: Sun Aug  1 13:13:54 2021 +0000
Commit:     Jason Zaman <perfinion <AT> gentoo <DOT> org>
CommitDate: Sun Aug  1 13:19:12 2021 +0000
URL:        https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=82a04476

sci-libs/tensorflow: Add python3_9 and build against proto-3.16

Protobuf 3.16 changed the status API in
https://github.com/protocolbuffers/protobuf/commit/59ea5c8f19de47dc15cbce2e2e97d9de01d50fb9
so must be patched. All deps now support python3_9 as well so enable
support in TF

Closes: https://bugs.gentoo.org/800824
Closes: https://bugs.gentoo.org/802732
Package-Manager: Portage-3.0.20, Repoman-3.0.2
Signed-off-by: Jason Zaman <perfinion <AT> gentoo.org>

 sci-libs/tensorflow/Manifest                   |   1 +
 sci-libs/tensorflow/tensorflow-2.5.0-r1.ebuild | 410 +++++++++++++++++++++++++
 2 files changed, 411 insertions(+)

diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest
index 1c0d69e84ec..263bf06e475 100644
--- a/sci-libs/tensorflow/Manifest
+++ b/sci-libs/tensorflow/Manifest
@@ -40,5 +40,6 @@ DIST tensorflow-1.15.0-python-license.rst.txt 45132 BLAKE2B 8a8ace4b64fd9eda1932
 DIST tensorflow-2.4.0.tar.gz 53257138 BLAKE2B 21973f67a7a4cb91baccbd3a4d9c8bce4c7f488ed44e834122b0fa0fc47b22d48276ecd9b580fa839c32a3dacac73bc010f91a27e5568df4dd9986b14b7eeb4f SHA512 4860c148fd931c4dc7c558128e545e2b6384e590a3fbc266a5bfe842a8307f23f1f7e0103bda3a383e7c77edad2bb76dec02da8be400a40956072df19c5d4dbd
 DIST tensorflow-2.5.0.tar.gz 55999506 BLAKE2B 0f1f29ed9ff6e5fd3fc0c98419bca636f48085810f934290885b3469c45817b2ce17e9dbd3d93d70b09ec7975088edd0973f147449f527a8f2e23b388e2592ce SHA512 637c63b1bed1c0eb7bb018f1ff7f29f7f0d78e75dac384df4ecb5dfb92bbcb28209e3d3d2204145abddf88e3247d8c31bbb4cea032a73b7122b2ef3eb0d2b947
 DIST tensorflow-patches-2.4.0.tar.bz2 1842 BLAKE2B ac35a02e3494b0cb6cfcc9212557d5b5480aea41b09d74b918471e688b489bafd2dbc609320abde609a461db1c8d0043fce4053ad9a223bc93fb883176417199 SHA512 39b3ebe710eb3bb5c4575dbbad66ae1bd2a81b803fb9007709154320eaf31cbac213ea5dc6c2e674e685db1cea5ff524f723f3893dfe5f31af32be7756882b28
+DIST tensorflow-patches-2.5.0-r1.tar.bz2 5180 BLAKE2B aafebb5cc4616ad93982e0fd8299f91c22063b96841b920a98a4cb54bcdc0cad51011f943ca62055239a0c21ed69d1f5b985710dcf0c28346b7ba12114583842 SHA512 38acd53136f3f1e061b71624cc5a1cefbdcb1d897b7728bc93462e8f52e998c3d72453ca9c94fa53dd28279cae5c591b7cbe9f61684784ff94c451a641524f31
 DIST tensorflow-patches-2.5.0.tar.bz2 4834 BLAKE2B 3e7331bb290db529e32fe6ba0a9fa2f5729fc510b925bc74532eb1bb15f8ecdaa2655cb16229a696e9716d006057badf26392e8fca2695146dc9a491050cb7c2 SHA512 699d16296c4f04e4de540b2eb91122a245cc02233a2b76021646a57d3228688b44a691308b4f1e9d9dc16929e6d2d692540cdeb3f42d2cad2c101d3008c22a33
 DIST tensorflow-toolchains-v1.1.10.tar.gz 137512 BLAKE2B 774b22a599070564c0f77ed0da79f6a96359b196dd3007370be885b796c236b9a29c01597507a3049f82cf489824c8016740b778cacb2b8cd859500f9ecb1887 SHA512 1daf4684f5b364a89b3cc475cf2d13d0d0622fc14d2b32d7ad8518932538e716782d755cfcedc98d129a3986bc7c38bfc7854c8ad596891e397510b75ae2f93e

diff --git a/sci-libs/tensorflow/tensorflow-2.5.0-r1.ebuild b/sci-libs/tensorflow/tensorflow-2.5.0-r1.ebuild
new file mode 100644
index 00000000000..1a9cf3d0793
--- /dev/null
+++ b/sci-libs/tensorflow/tensorflow-2.5.0-r1.ebuild
@@ -0,0 +1,410 @@
+# Copyright 1999-2021 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=7
+
+DISTUTILS_OPTIONAL=1
+PYTHON_COMPAT=( python3_{7,8,9} )
+DISTUTILS_USE_SETUPTOOLS=rdepend
+MY_PV=${PV/_rc/-rc}
+MY_P=${PN}-${MY_PV}
+
+inherit bazel check-reqs cuda distutils-r1 flag-o-matic prefix 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="~amd64"
+IUSE="cuda mpi +python xla"
+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="
+	https://github.com/abseil/abseil-cpp/archive/6f9d96a1f41439ac172ee2ef7ccd8edf0e5d068c.tar.gz -> abseil-cpp-6f9d96a1f41439ac172ee2ef7ccd8edf0e5d068c.tar.gz
+	https://github.com/bazelbuild/bazel-skylib/releases/download/1.0.3/bazel-skylib-1.0.3.tar.gz
+	https://github.com/bazelbuild/bazel-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz -> bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz
+	https://github.com/bazelbuild/rules_android/archive/v0.1.1.zip -> bazelbuild-rules_android-v0.1.1.zip
+	https://github.com/bazelbuild/rules_cc/archive/01d4a48911d5e7591ecb1c06d3b8af47fe872371.zip -> bazelbuild-rules_cc-01d4a48911d5e7591ecb1c06d3b8af47fe872371.zip
+	https://github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz -> bazelbuild-rules_closure-308b05b2419edb5c8ee0471b67a40403df940149.tar.gz
+	https://github.com/bazelbuild/rules_docker/releases/download/v0.10.0/rules_docker-v0.10.0.tar.gz -> bazelbuild-rules_docker-v0.10.0.tar.gz
+	https://github.com/bazelbuild/rules_java/archive/7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip -> bazelbuild-rules_java-7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip
+	https://github.com/bazelbuild/rules_proto/archive/97d8af4dc474595af3900dd85cb3a29ad28cc313.tar.gz -> bazelbuild-rules_proto-97d8af4dc474595af3900dd85cb3a29ad28cc313.tar.gz
+	https://github.com/bazelbuild/rules_python/releases/download/0.0.1/rules_python-0.0.1.tar.gz -> bazelbuild-rules_python-0.0.1.tar.gz
+	https://github.com/bazelbuild/rules_swift/archive/3eeeb53cebda55b349d64c9fc144e18c5f7c0eb8.tar.gz -> bazelbuild-rules_swift-3eeeb53cebda55b349d64c9fc144e18c5f7c0eb8.tar.gz
+	https://github.com/dmlc/dlpack/archive/3efc489b55385936531a06ff83425b719387ec63.tar.gz -> dlpack-3efc489b55385936531a06ff83425b719387ec63.tar.gz
+	https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz -> farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
+	https://github.com/google/gemmlowp/archive/fda83bdc38b118cc6b56753bd540caa49e570745.zip -> gemmlowp-fda83bdc38b118cc6b56753bd540caa49e570745.zip
+	https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
+	https://github.com/google/re2/archive/506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz -> re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz
+	https://github.com/google/ruy/archive/54774a7a2cf85963777289193629d4bd42de4a59.zip -> ruy-54774a7a2cf85963777289193629d4bd42de4a59.zip
+	https://github.com/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz
+	https://github.com/llvm/llvm-project/archive/1f6a57c1a0fad922e04a2b1f414b092d4b0cd8b0.tar.gz -> llvm-1f6a57c1a0fad922e04a2b1f414b092d4b0cd8b0.tar.gz
+	https://github.com/llvm/llvm-project/releases/download/llvmorg-10.0.1/openmp-10.0.1.src.tar.xz -> llvmorg-10.0.1-openmp-10.0.1.src.tar.xz
+	https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
+	https://github.com/oneapi-src/oneDNN/archive/v2.2.tar.gz -> oneDNN-v2.2.tar.gz
+	https://github.com/petewarden/OouraFFT/archive/v1.0.tar.gz -> OouraFFT-v1.0.tar.gz
+	https://github.com/pytorch/cpuinfo/archive/5916273f79a21551890fd3d56fc5375a78d1598d.zip -> pytorch-cpuinfo-5916273f79a21551890fd3d56fc5375a78d1598d.zip
+	https://github.com/pytorch/cpuinfo/archive/d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz -> pytorch-cpuinfo-d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz
+	https://github.com/tensorflow/toolchains/archive/v1.1.10.tar.gz -> tensorflow-toolchains-v1.1.10.tar.gz
+	https://gitlab.com/libeigen/eigen/-/archive/f612df273689a19d25b45ca4f8269463207c4fee/eigen-f612df273689a19d25b45ca4f8269463207c4fee.tar.gz
+	cuda? (
+		https://github.com/NVIDIA/cudnn-frontend/archive/360d6e7164dfb7c802493fd1c0464f0d815b852a.zip -> cudnn-frontend-360d6e7164dfb7c802493fd1c0464f0d815b852a.zip
+		https://github.com/NVlabs/cub/archive/1.9.9.zip -> cub-1.9.9.zip
+		https://github.com/nvidia/nccl/archive/v2.8.3-1.tar.gz -> nvidia-nccl-v2.8.3-1.tar.gz
+	)
+	python? (
+		https://github.com/intel/ARM_NEON_2_x86_SSE/archive/1200fe90bb174a6224a525ee60148671a786a71f.tar.gz -> ARM_NEON_2_x86_SSE-1200fe90bb174a6224a525ee60148671a786a71f.tar.gz
+		https://storage.googleapis.com/mirror.tensorflow.org/docs.python.org/2.7/_sources/license.rst.txt -> tensorflow-1.15.0-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 -> ${P}.tar.gz
+		https://dev.gentoo.org/~perfinion/patches/tensorflow-patches-${PVR}.tar.bz2
+		${bazel_external_uris}"
+
+RDEPEND="
+	app-arch/snappy
+	dev-db/lmdb
+	dev-db/sqlite
+	dev-libs/double-conversion
+	dev-libs/icu:=
+	>=dev-libs/jsoncpp-1.9.2
+	dev-libs/libpcre
+	dev-libs/nsync
+	dev-libs/openssl:0=
+	>=dev-libs/protobuf-3.13.0:=
+	>=dev-libs/re2-0.2019.06.01:=
+	media-libs/giflib
+	media-libs/libjpeg-turbo
+	media-libs/libpng:0
+	>=net-libs/grpc-1.28:=
+	net-misc/curl
+	sys-libs/zlib
+	>=sys-apps/hwloc-2
+	cuda? (
+		|| (
+			( =dev-util/nvidia-cuda-toolkit-11.1*[profiler] =dev-libs/cudnn-8* )
+			( =dev-util/nvidia-cuda-toolkit-11.2*[profiler] =dev-libs/cudnn-8* )
+		)
+	)
+	mpi? ( virtual/mpi )
+	python? (
+		${PYTHON_DEPS}
+		>=dev-libs/flatbuffers-1.12.0:=
+		dev-python/absl-py[${PYTHON_USEDEP}]
+		>=dev-python/astor-0.7.1[${PYTHON_USEDEP}]
+		dev-python/astunparse[${PYTHON_USEDEP}]
+		dev-python/dill[${PYTHON_USEDEP}]
+		dev-python/flatbuffers[${PYTHON_USEDEP}]
+		>=dev-python/gast-0.3.3[${PYTHON_USEDEP}]
+		dev-python/h5py[${PYTHON_USEDEP}]
+		>=dev-python/numpy-1.19[${PYTHON_USEDEP}]
+		>=dev-python/google-pasta-0.1.8[${PYTHON_USEDEP}]
+		>=dev-python/opt-einsum-3.3.0[${PYTHON_USEDEP}]
+		>=dev-python/protobuf-python-3.13.0[${PYTHON_USEDEP}]
+		dev-python/pybind11[${PYTHON_USEDEP}]
+		dev-python/six[${PYTHON_USEDEP}]
+		dev-python/tblib[${PYTHON_USEDEP}]
+		dev-python/termcolor[${PYTHON_USEDEP}]
+		dev-python/typing-extensions[${PYTHON_USEDEP}]
+		>=dev-python/grpcio-1.28[${PYTHON_USEDEP}]
+		>=dev-python/wrapt-1.11.1[${PYTHON_USEDEP}]
+		>=net-libs/google-cloud-cpp-0.10.0
+		>=sci-libs/keras-applications-1.0.8[${PYTHON_USEDEP}]
+		>=sci-libs/keras-preprocessing-1.1.2[${PYTHON_USEDEP}]
+		>=sci-visualization/tensorboard-2.5.0[${PYTHON_USEDEP}]
+	)"
+DEPEND="${RDEPEND}
+	python? (
+		dev-python/mock
+		dev-python/setuptools
+	)"
+PDEPEND="python? (
+		>=sci-libs/tensorflow-estimator-2.5.0[${PYTHON_USEDEP}]
+	)"
+BDEPEND="
+	app-arch/unzip
+	>=dev-libs/protobuf-3.8.0
+	dev-java/java-config
+	>=dev-util/bazel-3.7.2
+	cuda? (
+		>=dev-util/nvidia-cuda-toolkit-9.1[profiler]
+	)
+	!python? ( dev-lang/python )
+	python? (
+		dev-python/cython
+		dev-python/mock
+		>=dev-python/grpcio-tools-1.28
+	)"
+REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
+
+S="${WORKDIR}/${MY_P}"
+
+DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
+CHECKREQS_MEMORY="5G"
+CHECKREQS_DISK_BUILD="10G"
+
+get-cpu-flags() {
+	local i f=()
+	# Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
+	for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
+		use cpu_flags_x86_${i} && f+=( -m${i/_/.} )
+	done
+	use cpu_flags_x86_fma3 && f+=( -mfma )
+	echo "${f[*]}"
+}
+
+pkg_setup() {
+	ewarn "TensorFlow 2.0 is a major release that contains some incompatibilities"
+	ewarn "with TensorFlow 1.x. For more information about migrating to TF2.0 see:"
+	ewarn "https://www.tensorflow.org/guide/migrate"
+
+	local num_pythons_enabled
+	num_pythons_enabled=0
+	count_impls() {
+		num_pythons_enabled=$((${num_pythons_enabled} + 1))
+	}
+	use python && python_foreach_impl count_impls
+
+	# 10G to build C/C++ libs, 5G per python impl
+	CHECKREQS_DISK_BUILD="$((10 + 6 * ${num_pythons_enabled}))G"
+	check-reqs_pkg_setup
+}
+
+src_unpack() {
+	# Only unpack the main distfile
+	unpack "${P}.tar.gz"
+	unpack tensorflow-patches-${PVR}.tar.bz2
+	bazel_load_distfiles "${bazel_external_uris}"
+}
+
+src_prepare() {
+	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
+
+	append-flags $(get-cpu-flags)
+	bazel_setup_bazelrc
+
+	eapply "${WORKDIR}"/patches/*.patch
+
+	# Relax version checks in setup.py
+	sed -i "/^    '/s/==/>=/g" tensorflow/tools/pip_package/setup.py || die
+	sed -i "/config_googleapis/d" tensorflow/workspace0.bzl || die
+
+	# Prefixify hard-coded command locations
+	hprefixify -w /host_compiler_prefix/ third_party/gpus/cuda_configure.bzl
+
+	default
+	use python && python_copy_sources
+
+	use cuda && cuda_add_sandbox
+}
+
+src_configure() {
+	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
+	export KERAS_HOME="${T}/.keras" # otherwise sandbox violation writing ~/.keras
+
+	do_configure() {
+		export CC_OPT_FLAGS=" "
+		export TF_ENABLE_XLA=$(usex xla 1 0)
+		export TF_NEED_OPENCL_SYCL=0
+		export TF_NEED_OPENCL=0
+		export TF_NEED_COMPUTECPP=0
+		export TF_NEED_ROCM=0
+		export TF_NEED_MPI=$(usex mpi 1 0)
+		export TF_SET_ANDROID_WORKSPACE=0
+
+		if use python; then
+			export PYTHON_BIN_PATH="${PYTHON}"
+			export PYTHON_LIB_PATH="$(python_get_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"
+
+			if [[ $(cuda-config -s) != *$(gcc-version)* ]]; then
+				ewarn "TensorFlow is being built with Nvidia CUDA support. Your default compiler"
+				ewarn "version is not supported by the currently installed CUDA. TensorFlow will"
+				ewarn "instead be compiled using: ${GCC_HOST_COMPILER_PATH}."
+				ewarn "If the build fails with linker errors try rebuilding the relevant"
+				ewarn "dependencies using the same compiler version."
+			fi
+
+			if [[ -z "$TF_CUDA_COMPUTE_CAPABILITIES" ]]; then
+				ewarn "WARNING: TensorFlow is being built with its default CUDA compute capabilities: 3.5 and 7.0."
+				ewarn "These may not be optimal for your GPU."
+				ewarn ""
+				ewarn "To configure TensorFlow with the CUDA compute capability that is optimal for your GPU,"
+				ewarn "set TF_CUDA_COMPUTE_CAPABILITIES in your make.conf, and re-emerge tensorflow."
+				ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TF_CUDA_COMPUTE_CAPABILITIES=7.5,3.5"
+				ewarn ""
+				ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus"
+				ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'"
+			fi
+		fi
+
+		# com_googlesource_code_re2 weird branch using absl, doesnt work with released re2
+		#com_github_googleapis_googleapis
+		local SYSLIBS=(
+			absl_py
+			astor_archive
+			astunparse_archive
+			boringssl
+			com_github_googlecloudplatform_google_cloud_cpp
+			com_github_grpc_grpc
+			com_google_protobuf
+			curl
+			cython
+			dill_archive
+			double_conversion
+			enum34_archive
+			flatbuffers
+			functools32_archive
+			gast_archive
+			gif
+			hwloc
+			icu
+			jsoncpp_git
+			libjpeg_turbo
+			lmdb
+			nasm
+			nsync
+			opt_einsum_archive
+			org_sqlite
+			pasta
+			pcre
+			png
+			pybind11
+			six_archive
+			snappy
+			tblib_archive
+			termcolor_archive
+			typing_extensions_archive
+			wrapt
+			zlib
+		)
+
+		export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
+		export TF_IGNORE_MAX_BAZEL_VERSION=1
+
+		# This is not autoconf
+		./configure || die
+
+		echo 'build --config=noaws --config=nohdfs' >> .bazelrc || die
+		echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
+		echo "build --action_env=KERAS_HOME=\"${T}/.keras\"" >> .bazelrc || die
+		echo "build --host_action_env=KERAS_HOME=\"${T}/.keras\"" >> .bazelrc || die
+
+		for cflag in $($(tc-getPKG_CONFIG) jsoncpp --cflags)
+		do
+			echo "build --copt=\"${cflag}\"" >> .bazelrc || die
+			echo "build --host_copt=\"${cflag}\"" >> .bazelrc || die
+		done
+	}
+	if use python; then
+		python_foreach_impl run_in_build_dir do_configure
+	else
+		do_configure
+	fi
+}
+
+src_compile() {
+	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
+	export KERAS_HOME="${T}/.keras" # otherwise sandbox violation writing ~/.keras
+
+	if use python; then
+		python_setup
+		BUILD_DIR="${S}-${EPYTHON/./_}"
+		cd "${BUILD_DIR}"
+	fi
+
+	# fail early if any deps are missing
+	ebazel build -k --nobuild \
+		//tensorflow:libtensorflow_framework.so \
+		//tensorflow:libtensorflow.so \
+		//tensorflow:libtensorflow_cc.so \
+		$(usex python '//tensorflow/tools/pip_package:build_pip_package' '')
+
+	ebazel build \
+		//tensorflow:libtensorflow_framework.so \
+		//tensorflow:libtensorflow.so
+	ebazel build //tensorflow:libtensorflow_cc.so
+
+	do_compile() {
+		ebazel build //tensorflow/tools/pip_package:build_pip_package
+	}
+	BUILD_DIR="${S}"
+	cd "${BUILD_DIR}"
+	use python && python_foreach_impl run_in_build_dir do_compile
+	ebazel shutdown
+}
+
+src_install() {
+	local i j
+	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
+	export KERAS_HOME="${T}/.keras" # otherwise sandbox violation writing ~/.keras
+
+	do_install() {
+		einfo "Installing ${EPYTHON} files"
+		local srcdir="${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
+		rm -f "${D}/$(python_get_sitedir)"/${PN}/lib${PN}_framework.so* || die
+		rm -f "${D}/$(python_get_sitedir)"/${PN}_core/lib${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 headers"
+	ebazel build //tensorflow:install_headers
+	ebazel shutdown
+	insinto /usr/include/${PN}/
+	doins -r bazel-bin/tensorflow/include/*
+
+	einfo "Installing libs"
+	# Generate $(tc-getPKG_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 ${PN}_cc.pc
+
+	for l in libtensorflow{,_framework,_cc}.so; do
+		dolib.so bazel-bin/tensorflow/${l}
+		dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1)
+		dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1-3)
+	done
+
+	einstalldocs
+}