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

[Jason Zaman]

commit:     cf9a3c5ff72cb0d2998a739cdfe83cc5213fa8a0
Author:     Jason Zaman <perfinion <AT> gentoo <DOT> org>
AuthorDate: Mon Dec 23 02:32:20 2019 +0000
Commit:     Jason Zaman <perfinion <AT> gentoo <DOT> org>
CommitDate: Mon Dec 23 02:32:52 2019 +0000
URL:        https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=cf9a3c5f

sci-libs/tensorflow: bump 2.1.0_rc1

Bug: https://bugs.gentoo.org/701342
Package-Manager: Portage-2.3.79, Repoman-2.3.16
Signed-off-by: Jason Zaman <perfinion <AT> gentoo.org>

 sci-libs/tensorflow/Manifest                       |   2 +
 .../tensorflow-2.1.0-python3.8-pywrap_tensor.patch |  11 +
 sci-libs/tensorflow/tensorflow-2.1.0_rc1.ebuild    | 372 +++++++++++++++++++++
 3 files changed, 385 insertions(+)

diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest
index 1fccc3eaf93..945fe743e24 100644
--- a/sci-libs/tensorflow/Manifest
+++ b/sci-libs/tensorflow/Manifest
@@ -13,6 +13,7 @@ DIST bazelbuild-rules_swift.0.12.1.tar.gz 111674 BLAKE2B 7c116d6098aa0725034dce4
 DIST cub-1.8.0.zip 602396 BLAKE2B a5e302a52e04f85ae8e1836c59e799532a8b961a8d10c08fe1241c9045f88e31f1ebda6d26124b85c6df40968e1c7b3985a39961bf7614535aafcab2da1a576a SHA512 6167c5be94989f88e05a07508cf69cf2c6b22a5ac733804043daa46bd86a44a15a758b1ffb811bab28b82039d027516ed85b3d9f7677a740a7e00ec9c2f81aed
 DIST eigen-049af2f56331.tar.gz 2485848 BLAKE2B 9d8a91782c9d40b7a6df101d2f43df25b5a3622bc02a7b9576929afb1f2f3d7c8b80671d24f1e31670883003b60c4cc0f3c9dadff0430d2ee047eb5122805edd SHA512 ab37106e9dfebbb42d7919c16b301887607080345b7ed63c8e3b8568489cfdc2c3ca0117a77905162cb3ba8324753040c841d2c96521fa4b9486f0778f1962df
 DIST eigen-49177915a14a.tar.gz 2496808 BLAKE2B 4e89b72a2ca121e9d1951a7179434c9eb70104ad45e63ae9811e10e28e32d51386acd2fe6938970404dcada8a377d1b3c07a68a98a68a036a6e85b2cf9ff4b48 SHA512 eb036225b41ffd8cc61ef99d2d22030c0d1e0f87eefcea4dd2b1fdb16a5316e0f4f17527983a00a8a684067654bf1f87c82cfaed5764829778660485ebbfa4b5
+DIST eigen-4e696901f873a2347f76d931cf2f701e31e15d05.tar.gz 2580537 BLAKE2B 927897c80f3529da40a76ddde26113403926d730fa4539aa9e4121406e8d3852abcfdbc55d178723300e9daa26176f6170db06bb49a59cb190e8c7e6dfdea4dd SHA512 d5461e615044aa94b6ac9ab2815536f4bdf2b9ccfeb578cc7bc62554ba928b4192450f72f1350f3231ed44d2bb90e95218de9a5d0bcee9ec02867499a6dc5db0
 DIST eigen-afc120bc03bd.tar.gz 2546157 BLAKE2B 72e051d77cd22c26a4203cf244e87b1700b4dce664d7ee5f80d0dd86eb5557c93e57c50664f1d79b13796a77c5ccdf72203ec66e9376d383b5a3b056326c7b61 SHA512 61f57a22d2a7947c14cfde87946dc41528df696884502a13000ee5c9b964672a5a8d8c10f505f28ed7a2d39deb820c6818d191dc3ce13215b8b9775b33da2ed8
 DIST farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz 467122 BLAKE2B 8b9dd426f4b9f732df6c8c09d868d1b1cc006c395b1525c46ea91c75318b723358c8e64bb0d86a73aace2032eded93f0d80cc7c2c77fddd6a39e3402ab4f2cb7 SHA512 7f5110514a8cdc7ce48d33fd94ad67d96a24e42e11b203e4d0986f4190545f051b2a63f8e09f2ac38c3aa4a5c62d9a0e02cd8ce02045037381fb62a99f0dcd00
 DIST gemmlowp-12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip 935628 BLAKE2B 09bd1dd1e367b1e5c4fe9a9525449c09460f19168bc03c57ad563aa27ec74a18f08b620a3dab6da4fa1a1448cdc7ce8bc8a089becc033b53fff4cc07593315ce SHA512 bd42a364f718f3b077cd9c840d626bfc1fd92ace98ce43329d8fa54700c9d28cb47568b6567e9b081b340af7be621c44be1ce06d4b8dccc4fb5d82c35b12f951
@@ -29,3 +30,4 @@ DIST tensorflow-1.15.0-python-license.rst.txt 45132 BLAKE2B 8a8ace4b64fd9eda1932
 DIST tensorflow-1.15.0.tar.gz 46183168 BLAKE2B 5ccd87d5b53d6c543728e9c7ef96f12149bd8729620838b07a28f752fd5c57ef88350c2b62e8c44ec3561469eda38d8a64cbfca5e1ac7850674e1dd2c4d605d6 SHA512 f8683a950be6a3fa234d42e0f46bd9e049280e0c1d203c5c00ad44cf4728d894f2c301939d6d71203f815130a1ead53127adcc7565009589ff5aafc878b4dba7
 DIST tensorflow-2.0.0.tar.gz 46176997 BLAKE2B 761e91a774f61b50459240a83fe52f723a76c2cc3eaf7c371684849cb7365b94fb3743ab8de9adffe64bef0f70da2bb0b7e6426a3f402e436eff841d3edefe8d SHA512 c3a2cb9673d2ade8e83961f7d944165123d0e4d94e6ca4d8fdee4f02f536893b879bbbf78d3ad5e557467b58f97f7194f2d9cfc64d7d05540969be732070eecc
 DIST tensorflow-2.1.0_rc0.tar.gz 41625131 BLAKE2B bc286f2f8d76a38973706acf3d839a4f54843b2f37ba5485eb149beacd55c7ac13660592acbc2413f8e60242c4a34b90cea8f1d9708d3f086e7cae73cc338832 SHA512 1481af1ed43ff03f6a0eeaad9896e2ec021d763bc69bf03e33353d6188074fdfaa1b6c3bba1d4e2496207f468e6a555fe2c962ae15eddd30ef872a3d76e19911
+DIST tensorflow-2.1.0_rc1.tar.gz 41637604 BLAKE2B 05a3de065de55fdd1086f75c8a6b69f227c02f43198a45e9d3312eacb903cca9ebf03784fa83881f54986d039fc54fbd88e85dfaa241d9b7455501ab8cfc26cc SHA512 e5b07da84a5ec7cd5f329b81a59835a858a7d1d43398555f1d81d6746829f6132d4153fd2506f97985f4424bab0b21b7c7938c873dc5e5e4004756bc5a885c12

diff --git a/sci-libs/tensorflow/files/tensorflow-2.1.0-python3.8-pywrap_tensor.patch b/sci-libs/tensorflow/files/tensorflow-2.1.0-python3.8-pywrap_tensor.patch
new file mode 100644
index 00000000000..bc53750b070
--- /dev/null
+++ b/sci-libs/tensorflow/files/tensorflow-2.1.0-python3.8-pywrap_tensor.patch
@@ -0,0 +1,11 @@
+--- a/tensorflow/python/eager/pywrap_tensor.cc.ORIG	2019-09-27 23:56:33.000000000 +0200
++++ b/tensorflow/python/eager/pywrap_tensor.cc	2019-11-27 16:39:00.996713385 +0100
+@@ -839,7 +839,7 @@
+     sizeof(EagerTensor),                /* tp_basicsize */
+     0,                                  /* tp_itemsize */
+     (destructor)EagerTensor_dealloc,    /* tp_dealloc */
+-    nullptr,                            /* tp_print */
++    0,                                  /* tp_vectorcall_offset */
+     nullptr,                            /* tp_getattr */
+     nullptr,                            /* tp_setattr */
+     nullptr,                            /* tp_compare */

diff --git a/sci-libs/tensorflow/tensorflow-2.1.0_rc1.ebuild b/sci-libs/tensorflow/tensorflow-2.1.0_rc1.ebuild
new file mode 100644
index 00000000000..5d17a640e00
--- /dev/null
+++ b/sci-libs/tensorflow/tensorflow-2.1.0_rc1.ebuild
@@ -0,0 +1,372 @@
+# Copyright 1999-2019 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=7
+
+DISTUTILS_OPTIONAL=1
+PYTHON_COMPAT=( python{3_5,3_6,3_7} )
+MY_PV=${PV/_rc/-rc}
+MY_P=${PN}-${MY_PV}
+
+inherit bazel check-reqs 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="~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://storage.googleapis.com/mirror.tensorflow.org/www.kurims.kyoto-u.ac.jp/~ooura/fft2d.tgz -> oourafft2d-20061228.tgz
+	https://gitlab.com/libeigen/eigen/-/archive/4e696901f873a2347f76d931cf2f701e31e15d05/eigen-4e696901f873a2347f76d931cf2f701e31e15d05.tar.gz -> eigen-4e696901f873a2347f76d931cf2f701e31e15d05.tar.gz
+	https://github.com/abseil/abseil-cpp/archive/43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz -> abseil-cpp-43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz
+	https://github.com/bazelbuild/bazel-skylib/releases/download/0.8.0/bazel-skylib.0.8.0.tar.gz
+	https://github.com/bazelbuild/bazel-skylib/releases/download/0.9.0/bazel_skylib-0.9.0.tar.gz
+	https://github.com/bazelbuild/bazel-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz -> bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz
+	https://github.com/bazelbuild/rules_cc/archive/0d5f3f2768c6ca2faca0079a997a97ce22997a0c.zip -> bazelbuild-rules_cc-0d5f3f2768c6ca2faca0079a997a97ce22997a0c.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_swift/releases/download/0.12.1/rules_swift.0.12.1.tar.gz -> bazelbuild-rules_swift.0.12.1.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/google/re2/archive/506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz -> re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz
+	https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
+	https://github.com/pybind/pybind11/archive/v2.3.0.tar.gz -> pybind11-v2.3.0.tar.gz
+	https://github.com/llvm/llvm-project/archive/ecc999101aadc8dc7d4af9fd88be10fe42674aa0.tar.gz -> llvm-ecc999101aadc8dc7d4af9fd88be10fe42674aa0.tar.gz
+	cuda? (
+		https://github.com/nvidia/nccl/archive/0ceaec9cee96ae7658aa45686853286651f36384.tar.gz -> nvidia-nccl-0ceaec9cee96ae7658aa45686853286651f36384.tar.gz
+		https://github.com/NVlabs/cub/archive/1.8.0.zip -> cub-1.8.0.zip
+	)
+	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
+		${bazel_external_uris}"
+
+RDEPEND="
+	app-arch/snappy
+	dev-db/lmdb
+	dev-db/sqlite
+	dev-libs/double-conversion
+	dev-libs/icu
+	~dev-libs/jsoncpp-1.9.1
+	dev-libs/libpcre
+	dev-libs/nsync
+	dev-libs/openssl:0=
+	>=dev-libs/protobuf-3.8.0:=
+	>=dev-libs/re2-0.2019.06.01
+	media-libs/giflib
+	media-libs/libjpeg-turbo
+	media-libs/libpng:0
+	>=net-libs/grpc-1.22.0
+	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? (
+		${PYTHON_DEPS}
+		>=dev-libs/flatbuffers-1.8.0
+		dev-python/absl-py[${PYTHON_USEDEP}]
+		>=dev-python/astor-0.7.1[${PYTHON_USEDEP}]
+		dev-python/gast[${PYTHON_USEDEP}]
+		>=dev-python/numpy-1.16[${PYTHON_USEDEP}]
+		dev-python/google-pasta[${PYTHON_USEDEP}]
+		dev-python/opt-einsum[${PYTHON_USEDEP}]
+		>=dev-python/protobuf-python-3.8.0[${PYTHON_USEDEP}]
+		dev-python/six[${PYTHON_USEDEP}]
+		dev-python/termcolor[${PYTHON_USEDEP}]
+		>=dev-python/grpcio-1.22.0[${PYTHON_USEDEP}]
+		>=dev-python/wrapt-1.11.1[${PYTHON_USEDEP}]
+		>=net-libs/google-cloud-cpp-0.10.0
+		>=sci-libs/keras-applications-1.0.8[${PYTHON_USEDEP}]
+		>=sci-libs/keras-preprocessing-1.1.0[${PYTHON_USEDEP}]
+		>=sci-visualization/tensorboard-2.0.0[${PYTHON_USEDEP}]
+	)"
+DEPEND="${RDEPEND}
+	python? (
+		dev-python/mock
+		dev-python/setuptools
+	)"
+PDEPEND="python? (
+		>=sci-libs/tensorflow-estimator-2.0.0[${PYTHON_USEDEP}]
+	)"
+BDEPEND="
+	app-arch/unzip
+	>=dev-libs/protobuf-3.8.0
+	dev-java/java-config
+	dev-lang/swig
+	|| (
+		=dev-util/bazel-0.27*
+		=dev-util/bazel-0.29*
+	)
+	cuda? (
+		>=dev-util/nvidia-cuda-toolkit-9.1[profiler]
+	)
+	!python? ( dev-lang/python )
+	python? (
+		dev-python/cython
+		dev-python/mock
+		>=dev-python/grpcio-tools-1.22.0
+	)"
+REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
+
+S="${WORKDIR}/${MY_P}"
+
+PATCHES=(
+	"${FILESDIR}/tensorflow-1.15.0_rc0-0001-WORKSPACE-add-rules-docker-http_archive-bazel-toolch.patch"
+	"${FILESDIR}/tensorflow-2.1.0-external_libs.patch"
+	"${FILESDIR}/tensorflow-2.1.0-python3.8-pywrap_tensor.patch"
+)
+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"
+	bazel_load_distfiles "${bazel_external_uris}"
+}
+
+src_prepare() {
+	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
+
+	append-flags $(get-cpu-flags)
+	bazel_setup_bazelrc
+
+	if ver_test "$(cuda_toolkit_version)" -ge "10.2"; then
+		eapply "${FILESDIR}/tensorflow-2.1.0-cuda_10.2_support_bin2c.patch"
+	fi
+
+	default
+	use python && python_copy_sources
+
+	use cuda && cuda_add_sandbox
+}
+
+src_configure() {
+	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
+
+	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
+			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: $TF_CUDNN_VERSION"
+
+			if [[ -z "$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
+		local SYSLIBS=(
+			absl_py
+			astor_archive
+			boringssl
+			com_github_googleapis_googleapis
+			com_github_googlecloudplatform_google_cloud_cpp
+			com_google_protobuf
+			curl
+			cython
+			double_conversion
+			enum34_archive
+			flatbuffers
+			functools32_archive
+			gast_archive
+			gif
+			grpc
+			hwloc
+			icu
+			libjpeg_turbo
+			jsoncpp_git
+			keras_applications_archive
+			lmdb
+			nasm
+			nsync
+			opt_einsum_archive
+			org_sqlite
+			pasta
+			pcre
+			png
+			six_archive
+			snappy
+			swig
+			termcolor_archive
+			wrapt
+			zlib_archive
+		)
+
+		export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
+		export TF_IGNORE_MAX_BAZEL_VERSION=1
+
+		# This is not autoconf
+		./configure || die
+
+		echo 'build --config=noaws --config=nohdfs' >> .bazelrc || die
+		echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
+		echo 'build --incompatible_no_support_tools_in_action_inputs=false' >> .bazelrc || die
+	}
+	if use python; then
+		python_foreach_impl run_in_build_dir do_configure
+	else
+		do_configure
+	fi
+}
+
+src_compile() {
+	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
+
+	if use python; then
+		python_setup
+		BUILD_DIR="${S}-${EPYTHON/./_}"
+		cd "${BUILD_DIR}"
+	fi
+
+	# fail early if any deps are missing
+	ebazel build --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
+
+	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
+		python_export PYTHON_SITEDIR PYTHON_SCRIPTDIR
+		rm -f "${D}/${PYTHON_SITEDIR}"/${PN}/lib${PN}_framework.so* || die
+		rm -f "${D}/${PYTHON_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-genfiles/tensorflow/include/*
+
+	einfo "Installing 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 ${PN}_cc.pc
+
+	for l in libtensorflow{,_framework,_cc}.so; do
+		dolib.so bazel-bin/tensorflow/${l}
+		dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1)
+		dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1-3)
+	done
+
+	einstalldocs
+}