sci-libs/tensorflow: bump 2.1.0_rc2

Package-Manager: Portage-2.3.79, Repoman-2.3.16
Signed-off-by: Jason Zaman <perfinion@gentoo.org>

3 files changed, 1 insertions, 374 deletions

diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest
index 945fe743e24b..22bc344ccf23 100644
--- a/sci-libs/tensorflow/Manifest
+++ b/sci-libs/tensorflow/Manifest
@@ -14,7 +14,6 @@ DIST cub-1.8.0.zip 602396 BLAKE2B a5e302a52e04f85ae8e1836c59e799532a8b961a8d10c0
 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
 DIST highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz 138574 BLAKE2B cecd95039fc31545ced38a1949e7cb31d6f34deef7c8923b573aa7a632576d0a9b60fd24fbc8a40b8a840a7d2442ea28382fe842178a77467772ed4ba8a2cfb6 SHA512 d25162ed266a8c9c00e6978fcf642cf924f03c0d196f971d0d6f6a3454ca7dfc82f758eabd038ac08e0a5dacc51eccb9b674f588f64692f37cb7a17150aefe4f
@@ -29,5 +28,4 @@ DIST re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz 316237 BLAKE2B 8a975bc3
 DIST tensorflow-1.15.0-python-license.rst.txt 45132 BLAKE2B 8a8ace4b64fd9eda1932272704dd4fea002d2562cd9c2c94470d3ff5de58bb171ff849d3f998ea90cd779d1084d39af1267aca8400b74b701205d2e76e6a2628 SHA512 c79c42f4ceecf33c8f8778ca17b53595b75d5d0bdf30b11058cf01dd70a6351f530ca9dd846460aba14edc1d5876f7bf6fa0f9f49f7915590b0f54d267ce3856
 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
+DIST tensorflow-2.1.0_rc2.tar.gz 41641498 BLAKE2B 1ab001f6804cd6b2b3122cd5bf84905d81b1632f363134dc30aee92869077da2420799d0e70ea050004ac854a7e887a44176806b8cdfab5f12b9c8f7440d22be SHA512 7b8c9a83b5c25b36f680cfdaeefdc932cab93ecfc25622cd46ac14b2f5582eea4f04c6bdd5d63058266d5e0bf2cd9e1fb7a0647be62fb4ec4b910b0e7b4214e0
diff --git a/sci-libs/tensorflow/tensorflow-2.1.0_rc0.ebuild b/sci-libs/tensorflow/tensorflow-2.1.0_rc0.ebuild
deleted file mode 100644
index 1cd5f24b7610..000000000000
--- a/sci-libs/tensorflow/tensorflow-2.1.0_rc0.ebuild
+++ /dev/null
@@ -1,371 +0,0 @@
-# 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://bitbucket.org/eigen/eigen/get/afc120bc03bd.tar.gz -> eigen-afc120bc03bd.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"
-	"${FILESDIR}/tensorflow-2.1.0-external_libs.patch"
-)
-DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
-CHECKREQS_MEMORY="5G"
-CHECKREQS_DISK_BUILD="10G"
-
-get-cpu-flags() {
-	local i f=()
-	# Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
-	for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
-		use cpu_flags_x86_${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
-}
diff --git a/sci-libs/tensorflow/tensorflow-2.1.0_rc1.ebuild b/sci-libs/tensorflow/tensorflow-2.1.0_rc2.ebuild
index 5d17a640e007..5d17a640e007 100644
--- a/sci-libs/tensorflow/tensorflow-2.1.0_rc1.ebuild
+++ b/sci-libs/tensorflow/tensorflow-2.1.0_rc2.ebuild