sci-libs/tensorflow: drop 2.4-rc

Package-Manager: Portage-3.0.9, Repoman-3.0.2
Signed-off-by: Jason Zaman <perfinion@gentoo.org>

3 files changed, 0 insertions, 816 deletions

diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest
index 3c898c6a7b92..86f28c0bbcf8 100644
--- a/sci-libs/tensorflow/Manifest
+++ b/sci-libs/tensorflow/Manifest
@@ -36,9 +36,5 @@ DIST sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz 2569603 BLAKE2B
 DIST tensorflow-1.15.0-python-license.rst.txt 45132 BLAKE2B 8a8ace4b64fd9eda1932272704dd4fea002d2562cd9c2c94470d3ff5de58bb171ff849d3f998ea90cd779d1084d39af1267aca8400b74b701205d2e76e6a2628 SHA512 c79c42f4ceecf33c8f8778ca17b53595b75d5d0bdf30b11058cf01dd70a6351f530ca9dd846460aba14edc1d5876f7bf6fa0f9f49f7915590b0f54d267ce3856
 DIST tensorflow-2.3.1.tar.gz 46544608 BLAKE2B c3cb0954fcd060b95d63895cbeeca20f6af29ade999dc43db5fe010d6b33b6f650047d529f174a1663c23440a56e057e2f97c503a4a40bcdac9374b549f3220e SHA512 e497ef4564f50abf9f918be4522cf702f4cf945cb1ebf83af1386ac4ddc7373b3ba70c7f803f8ca06faf2c6b5396e60b1e0e9b97bfbd667e733b08b6e6d70ef0
 DIST tensorflow-2.4.0.tar.gz 53257138 BLAKE2B 21973f67a7a4cb91baccbd3a4d9c8bce4c7f488ed44e834122b0fa0fc47b22d48276ecd9b580fa839c32a3dacac73bc010f91a27e5568df4dd9986b14b7eeb4f SHA512 4860c148fd931c4dc7c558128e545e2b6384e590a3fbc266a5bfe842a8307f23f1f7e0103bda3a383e7c77edad2bb76dec02da8be400a40956072df19c5d4dbd
-DIST tensorflow-2.4.0_rc3.tar.gz 53251141 BLAKE2B 45a05fc1bc6f5f940487ecfd53a5dd37718a39a2a3dfd536cb6e41ba1da9fbac9e166aeb288ad122adc6474af94c13a2370779c37aa7162de3cb0c015acd5c44 SHA512 c02901fb41aa996a4d3c4a118cd76c62502e99be64f6ecf98208b2c65ed9f8c87c4060dcc983f6fe8280207b3bfa967e5f325e2d926aa1b4429f99fc0153c2e1
-DIST tensorflow-2.4.0_rc4.tar.gz 53246897 BLAKE2B 4020cfa0ac72e4c06ee0ce69f44b3560132d2e885fd828bfcba9a951bc968d779c8de1507e888e36a3094510a973efc9e97304448b60f7b9847fab052de8e234 SHA512 fe69642a5cd0a6f7e8ae7abb93dec06225958d02f037936421a2b0c75bfc7d99efd5e1c6e0e3c2d0a6d3404516f4d178349d1fa88d81a14adb65d027339cb237
 DIST tensorflow-patches-2.3.1-r1.tar.bz2 12300 BLAKE2B 068c127d7e980baf63068c524c9411e4f19bb79ee369221cf474a964a15ad340b28bde09504a8d524167eea036caf9d2dc52d0ad7ae1e52a76d1892833b033a0 SHA512 510676e4f999c12331a61bfeeca45b2526292d8bca8b0b42c1d8d466bc52722075fbd4df26a5f67dbe1ca4ccd9059e783c113cf694b436ff48c8114c99234cd3
 DIST tensorflow-patches-2.4.0.tar.bz2 1842 BLAKE2B ac35a02e3494b0cb6cfcc9212557d5b5480aea41b09d74b918471e688b489bafd2dbc609320abde609a461db1c8d0043fce4053ad9a223bc93fb883176417199 SHA512 39b3ebe710eb3bb5c4575dbbad66ae1bd2a81b803fb9007709154320eaf31cbac213ea5dc6c2e674e685db1cea5ff524f723f3893dfe5f31af32be7756882b28
-DIST tensorflow-patches-2.4.0_rc3.tar.bz2 1843 BLAKE2B 6d4188471502e4411a5a7a6e731142af38421961600c52e7d76d137f952a5b8327dc8d8b4a40b60d3fb46130fe3d40ae2adc3d60d9a882f9d9b07d424e45e194 SHA512 abf9fbd870a8fa59b9d4e1b8260c4fbb5badeeca3e2b77caa031036759302bccae4adf91b291bc7a12df3c679b887338a8cd98d41847eb8ddd0c2bf4b8ccf342
-DIST tensorflow-patches-2.4.0_rc4.tar.bz2 1843 BLAKE2B 69d2bec532fbd65fcd44589ab554f3f9069112203a201c8ca2d19fedf1f4fa4211197b35a59cc487496e226f55a8e21e3865e04aee3df87fc13727558e5a3b74 SHA512 835055001c291bc7a32a0ec41e33ec9a8d17fada25af47d9d075c2991699ac52006f225b59ee9d828f71066e7fba3f5f1549388034b25ca0bedbebe0a3946355
diff --git a/sci-libs/tensorflow/tensorflow-2.4.0_rc3.ebuild b/sci-libs/tensorflow/tensorflow-2.4.0_rc3.ebuild
deleted file mode 100644
index 3ffae5ad6f7f..000000000000
--- a/sci-libs/tensorflow/tensorflow-2.4.0_rc3.ebuild
+++ /dev/null
@@ -1,406 +0,0 @@
-# Copyright 1999-2020 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=7
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python3_{6,7,8} )
-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/petewarden/OouraFFT/archive/v1.0.tar.gz -> OouraFFT-v1.0.tar.gz
-	https://gitlab.com/libeigen/eigen/-/archive/011e0db31d1bed8b7f73662be6d57d9f30fa457a/eigen-011e0db31d1bed8b7f73662be6d57d9f30fa457a.tar.gz
-	https://github.com/abseil/abseil-cpp/archive/df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz -> abseil-cpp-df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz
-	https://github.com/bazelbuild/bazel-skylib/releases/download/0.9.0/bazel_skylib-0.9.0.tar.gz
-	https://github.com/bazelbuild/rules_android/archive/v0.1.1.zip -> bazelbuild-rules_android-v0.1.1.zip
-	https://github.com/bazelbuild/bazel-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz -> bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz
-	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/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz
-	https://github.com/llvm/llvm-project/archive/f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz -> llvm-f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz
-	https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
-	https://github.com/google/ruy/archive/5bb02fbf90824c2eb6cd7418f766c593106a332b.zip -> ruy-5bb02fbf90824c2eb6cd7418f766c593106a332b.zip
-	https://github.com/pytorch/cpuinfo/archive/d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz -> pytorch-cpuinfo-d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz
-	https://github.com/pytorch/cpuinfo/archive/6cecd15784fcb6c5c0aa7311c6248879ce2cb8b2.zip -> pytorch-cpuinfo-6cecd15784fcb6c5c0aa7311c6248879ce2cb8b2.zip
-	cuda? (
-		https://github.com/nvidia/nccl/archive/195232556936b39b01cc908296e1650b80d4a3e9.tar.gz -> nvidia-nccl-195232556936b39b01cc908296e1650b80d4a3e9.tar.gz
-		https://github.com/NVlabs/cub/archive/1.9.9.zip -> cub-1.9.9.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 -> ${P}.tar.gz
-		https://dev.gentoo.org/~perfinion/patches/tensorflow-patches-${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-11.0*[profiler] =dev-libs/cudnn-8* )
-		        ( =dev-util/nvidia-cuda-toolkit-10.2*[profiler] >=dev-libs/cudnn-7.6 )
-		        ( =dev-util/nvidia-cuda-toolkit-10.1*[profiler] >=dev-libs/cudnn-7.5 )
-		        ( =dev-util/nvidia-cuda-toolkit-10.0*[profiler] =dev-libs/cudnn-7.4* )
-		        ( =dev-util/nvidia-cuda-toolkit-9.2*[profiler] =dev-libs/cudnn-7.1* )
-		        ( =dev-util/nvidia-cuda-toolkit-9.1*[profiler] =dev-libs/cudnn-7.0* )
-		)
-	)
-	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[${PYTHON_USEDEP}]
-		>=sci-visualization/tensorboard-2.4.0[${PYTHON_USEDEP}]
-	)"
-DEPEND="${RDEPEND}
-	python? (
-		dev-python/mock
-		dev-python/setuptools
-	)"
-PDEPEND="python? (
-		>=sci-libs/tensorflow-estimator-2.4.0_rc0[${PYTHON_USEDEP}]
-	)"
-BDEPEND="
-	app-arch/unzip
-	>=dev-libs/protobuf-3.8.0
-	dev-java/java-config
-	=dev-util/bazel-3*
-	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" WORKSPACE || 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=$(java-config --jre-home) # so keepwork works
-
-	do_configure() {
-		export CC_OPT_FLAGS=" "
-		export TF_ENABLE_XLA=$(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: $TF_CUDNN_VERSION"
-
-			if [[ *$(gcc-version)* != $(cuda-config -s) ]]; 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
-		local SYSLIBS=(
-			absl_py
-			astor_archive
-			astunparse_archive
-			boringssl
-			com_github_googleapis_googleapis
-			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
-
-		for cflag in $(pkg-config jsoncpp --cflags)
-		do
-			echo "build --copt=\"$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
-
-	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
-
-	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 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-2.4.0_rc4.ebuild b/sci-libs/tensorflow/tensorflow-2.4.0_rc4.ebuild
deleted file mode 100644
index 3ffae5ad6f7f..000000000000
--- a/sci-libs/tensorflow/tensorflow-2.4.0_rc4.ebuild
+++ /dev/null
@@ -1,406 +0,0 @@
-# Copyright 1999-2020 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=7
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python3_{6,7,8} )
-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/petewarden/OouraFFT/archive/v1.0.tar.gz -> OouraFFT-v1.0.tar.gz
-	https://gitlab.com/libeigen/eigen/-/archive/011e0db31d1bed8b7f73662be6d57d9f30fa457a/eigen-011e0db31d1bed8b7f73662be6d57d9f30fa457a.tar.gz
-	https://github.com/abseil/abseil-cpp/archive/df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz -> abseil-cpp-df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz
-	https://github.com/bazelbuild/bazel-skylib/releases/download/0.9.0/bazel_skylib-0.9.0.tar.gz
-	https://github.com/bazelbuild/rules_android/archive/v0.1.1.zip -> bazelbuild-rules_android-v0.1.1.zip
-	https://github.com/bazelbuild/bazel-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz -> bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz
-	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/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz
-	https://github.com/llvm/llvm-project/archive/f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz -> llvm-f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz
-	https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
-	https://github.com/google/ruy/archive/5bb02fbf90824c2eb6cd7418f766c593106a332b.zip -> ruy-5bb02fbf90824c2eb6cd7418f766c593106a332b.zip
-	https://github.com/pytorch/cpuinfo/archive/d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz -> pytorch-cpuinfo-d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz
-	https://github.com/pytorch/cpuinfo/archive/6cecd15784fcb6c5c0aa7311c6248879ce2cb8b2.zip -> pytorch-cpuinfo-6cecd15784fcb6c5c0aa7311c6248879ce2cb8b2.zip
-	cuda? (
-		https://github.com/nvidia/nccl/archive/195232556936b39b01cc908296e1650b80d4a3e9.tar.gz -> nvidia-nccl-195232556936b39b01cc908296e1650b80d4a3e9.tar.gz
-		https://github.com/NVlabs/cub/archive/1.9.9.zip -> cub-1.9.9.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 -> ${P}.tar.gz
-		https://dev.gentoo.org/~perfinion/patches/tensorflow-patches-${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-11.0*[profiler] =dev-libs/cudnn-8* )
-		        ( =dev-util/nvidia-cuda-toolkit-10.2*[profiler] >=dev-libs/cudnn-7.6 )
-		        ( =dev-util/nvidia-cuda-toolkit-10.1*[profiler] >=dev-libs/cudnn-7.5 )
-		        ( =dev-util/nvidia-cuda-toolkit-10.0*[profiler] =dev-libs/cudnn-7.4* )
-		        ( =dev-util/nvidia-cuda-toolkit-9.2*[profiler] =dev-libs/cudnn-7.1* )
-		        ( =dev-util/nvidia-cuda-toolkit-9.1*[profiler] =dev-libs/cudnn-7.0* )
-		)
-	)
-	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[${PYTHON_USEDEP}]
-		>=sci-visualization/tensorboard-2.4.0[${PYTHON_USEDEP}]
-	)"
-DEPEND="${RDEPEND}
-	python? (
-		dev-python/mock
-		dev-python/setuptools
-	)"
-PDEPEND="python? (
-		>=sci-libs/tensorflow-estimator-2.4.0_rc0[${PYTHON_USEDEP}]
-	)"
-BDEPEND="
-	app-arch/unzip
-	>=dev-libs/protobuf-3.8.0
-	dev-java/java-config
-	=dev-util/bazel-3*
-	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" WORKSPACE || 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=$(java-config --jre-home) # so keepwork works
-
-	do_configure() {
-		export CC_OPT_FLAGS=" "
-		export TF_ENABLE_XLA=$(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: $TF_CUDNN_VERSION"
-
-			if [[ *$(gcc-version)* != $(cuda-config -s) ]]; 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
-		local SYSLIBS=(
-			absl_py
-			astor_archive
-			astunparse_archive
-			boringssl
-			com_github_googleapis_googleapis
-			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
-
-		for cflag in $(pkg-config jsoncpp --cflags)
-		do
-			echo "build --copt=\"$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
-
-	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
-
-	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 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
-}