sci-libs/tensorflow: drop 2.5.0-r3, 2.7.0

Signed-off-by: Jason Zaman <perfinion@gentoo.org>

3 files changed, 0 insertions, 838 deletions

diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest
index 4ff9c0f48f12..912184d8d3ff 100644
--- a/sci-libs/tensorflow/Manifest
+++ b/sci-libs/tensorflow/Manifest
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 DIST nvidia-nccl-v2.8.3-1.tar.gz 203650 BLAKE2B 2b4995aa04b0b204c7315420b6d130c90baadf78f709b82352701c29116fbf053878e62623b6949ab114051a4df828536764bbe9374ab817af9a56879d7d8f08 SHA512 9a17b570ebda54116b1292899e086724c57c7b8ef03f8c529f760f79294cb710f599c2fddc29ab6bc4b843271af9e824dd1af1e705b98fdcbc201f737490d8f3
-DIST oneDNN-v2.2.tar.gz 9529895 BLAKE2B 63975f8ff4763732b9b45ad96b97053b8b9edd20beec1aaa0bb81e81493e9740e7d0aa04b221e52ccbcd403877a7e4e556b2826640b3cf28149c2af0f449fd41 SHA512 9ff7f6706a176057fdaed3a453639bb3bef7c94b6d275d90401bf310ee7ee11262f3cd2b0b67476d27c90ce91bbbb3ac3765a82c1117649f1832d33a838f7d66
-DIST oneDNN-v2.4.1.tar.gz 5798948 BLAKE2B bedb961f65c0661b56d5e2d34324004f241b3b06fc906424a4297b530e34ca66021217960103f78548b838a046218e3ca8cfdc88adfdafff0766c28d4ec231ed SHA512 5976ef36baca23f242113b8e8d8083c8ab55d7945f295ac75bcd139adcdd731992554002b7c70e2a374d86037a3728dfb23d5613c70278ca2ad35c5449267b5b
 DIST oneDNN-v2.5.1.tar.gz 5807775 BLAKE2B da852ddd92d4573645448d30dc35fd68c07deef99c7280cea99a5de7c57fc8fc348cdbeff77aeef8189beaac830315d681a139be55719d9df85529bca781475f SHA512 cce14aaacdc822d606e747f30e552062ca1bd342b262568253008ed4f145cd6fe42a19421ee15245f63d009b305a39ea435a055305570cedff2752d251b7f7d4
 DIST pthreadpool-b8374f80e42010941bda6c85b0e3f1a1bd77a1e0.zip 61524 BLAKE2B 924419730bc6b94ec98a13db94f177b3b70d6c763158f43fb6f9e45605e73cfce238e6c996e2bf629dbb2a5af93ae99849ddc91174fc4664d702667f7423892d SHA512 d25262b47e39058d5aa8b8197c4984a5b941587a19079a2210f738c3af34ab8e8477731c88ca80c3f812a6a04635f80300124d93cc1e099352ef2aca04bdc3ae
 DIST pytorch-cpuinfo-5916273f79a21551890fd3d56fc5375a78d1598d.zip 3787933 BLAKE2B 169620d461103f271ae927d84af27282189509b2ba2fbed2c09f9ae387b5f392eea635dfdf2d3a23e1fc19b5d467bee3f13d3e473946e42bba4b6a9a2fd60e32 SHA512 6f1c8c931b62990ab0228679efb52207a6e21cb847139c11bf6117051b7315ff87c12ed1373670d006f0bc7e3d390d59f2d28a8250d0bd7df850583ae42afdf2
 DIST pytorch-cpuinfo-d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz 3489028 BLAKE2B aa6b7719eb9871b6cc71318cb4a9c2e2397e665662b7978daecd9e8380304691a78b95118eba5cbbb738c4b490352a847f6ce6b5c4ae29de0543b95ecc557cbb SHA512 ecd2115340fa82a67db7889ce286c3070d5ab9c30b02372b08aac893e90ccebc65c6b3e66aa02a9ae9c57892d2d8c3b77cb836e5fc3b88df2c75d33e574d90d2
 DIST re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz 316237 BLAKE2B 8a975bc3e78b690f70944651c7022c6d946f40b2eb5fe01b2e203141f94b890cf1ad5c72af8e7c6ff3c5242d42af5a8657ed69e3c74d9ac081beb15de6334c0c SHA512 e3e00e92700d08bc55ba0e96148ddf1e00de2d329c1fdac08691ff15976937829f66dbc84af886a4b749ad66ba4ab208d66811e97e33bb9c2d7359735406c450
-DIST ruy-54774a7a2cf85963777289193629d4bd42de4a59.zip 363561 BLAKE2B 81ff61f1a125c99f7bc8c2f4e03909036a759543cf56774dc872db5987ed4ef099b376597acc2f07758c4813933e7b27fe336281bc05da19f284fb085492ade2 SHA512 b15b6e0464f7612276bc8b198341653e3b72b5e166132a5107f825d4c4612e179018f92a16f7a41490d176bb138417b18a6f1b7fc165c4e829d889808cb89276
 DIST ruy-e6c1b8dc8a8b00ee74e7268aac8b18d7260ab1ce.zip 375516 BLAKE2B d026fcb8cf5226fca9153bd5acb848f04382cf759efda334e9bdbc58cb838a54c8e26d85d8c1577cca835b82319a80a61c7be83e6f61e0dab01d8119995a6c2e SHA512 e556764ef8505509cadf6cf28bb172be96b3650b410b1ccc3a34ef4c2bb8f67e911597962dd392c6441e68d329c66a0f0215fa545df01c63912adda1b08b25ce
 DIST sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz 2569603 BLAKE2B cd66dc8a0b4ad3ea586a79ef588c8d68e4f05b6ea89e6d8119b5ee338b9046c11a747ca57c2f80a3c90fab119c05e85f5965571c9e522ccb8a312b95804d1a36 SHA512 b819d050bb38246b503f1eb3d6e7d878d0f166f3602ae3c327749b1f6ddc2b1d6ac7f768b1f1d055b98b7b98812e4643a75bcebc9728c7f615d67ca739761b3e
 DIST tensorflow-1.15.0-python-license.rst.txt 45132 BLAKE2B 8a8ace4b64fd9eda1932272704dd4fea002d2562cd9c2c94470d3ff5de58bb171ff849d3f998ea90cd779d1084d39af1267aca8400b74b701205d2e76e6a2628 SHA512 c79c42f4ceecf33c8f8778ca17b53595b75d5d0bdf30b11058cf01dd70a6351f530ca9dd846460aba14edc1d5876f7bf6fa0f9f49f7915590b0f54d267ce3856
-DIST tensorflow-2.5.0.tar.gz 55999506 BLAKE2B 0f1f29ed9ff6e5fd3fc0c98419bca636f48085810f934290885b3469c45817b2ce17e9dbd3d93d70b09ec7975088edd0973f147449f527a8f2e23b388e2592ce SHA512 637c63b1bed1c0eb7bb018f1ff7f29f7f0d78e75dac384df4ecb5dfb92bbcb28209e3d3d2204145abddf88e3247d8c31bbb4cea032a73b7122b2ef3eb0d2b947
-DIST tensorflow-2.7.0.tar.gz 57751022 BLAKE2B ae022bffd0609f2bac388510e270e5ec4bf400cbebd074e4580d3a85734b238ad2daf19196246f1bc93a7679383c2527fd27bcbd7da9ddb17189a7998796bdac SHA512 f1e892583c7b3a73d4d39ec65dc135a5b02c789b357d57414ad2b6d05ad9fbfc8ef81918ba6410e314abd6928b76f764e6ef64c0b0c84b58b50796634be03f39
 DIST tensorflow-2.8.0.tar.gz 65416640 BLAKE2B 0446678db956e6f583a4a79d93d89285be0aafe1b62a83fad8b88f1d9bebd82de1e83661477d6e959934413a0176f25ce063bef608ed429576fd1439350713ea SHA512 9cddb78c0392b7810e71917c3731f895e31c250822031ac7f498bf20435408c640b2fba4de439fa4a47c70dbff38b86e50fed2971df1f1916f23f9490241cfed
-DIST tensorflow-patches-2.5.0-r3.tar.bz2 6385 BLAKE2B 5cd3a9639884aa67bbd192cb1b06cfedc557b8ad05aca0f4887987c615656620b9294de98b119bf9d6edafd5b56b9d5e6900f95adb06a3a49cfdf342c6195b22 SHA512 8f0d2be9ffed81aba5c85088a79ca56af889e0247516f51657d214d19d39877cfe331e60f63e8c54e2b12acd7a624b181e281534acbd9a103f6eec0aae70fd8a
-DIST tensorflow-patches-2.7.0.tar.bz2 2928 BLAKE2B 4814c3b31d1c6236711c41f62b5653fbca0ff9810c08081aa070eb87c4d6c296cb6ae3c6fd3409b48dd06540098404eb60be7f74e7fdfc55808b694b8bffbbf4 SHA512 20d138d00a1d54a748bf47031ab0d308b13ed1c51ae931bc60141221a0db902d4839040ab21de7b3d87c1d890223fda0c11e18ad61157d6e07bcca9f3f90375c
 DIST tensorflow-patches-2.8.0.tar.bz2 7950 BLAKE2B 21961f7b12294c51e1ed97445f02845502bb680b502bffea57732468417ef1c556246b29f630392e7045efe909452a44055b827b7b75533f5b8440240abf0508 SHA512 454b0a909f04b63e5f9de598981077c21ba9bee22b4251566c298ed7c7a7e6edae628b1f995de4f9fb1b84e4b80e6b42c19cdf363de13e43534994bf7e2b17b8
-DIST tensorflow-runtime-64c92c8013b557087351c91b5423b6046d10f206.tar.gz 15224747 BLAKE2B b6aaaf4f6dd488dbfc49f6f9bd6d7820894b7f205ab76c38288175c70dd9ee656128a0655fc1f7ca1ada33d96193c9bb3569da02d0b591aea9ffbb9cf1f223b8 SHA512 1e66742ccda9778fdf9e0e1e83b0524d6b3e82e7792918ae058c031e81b033bc51cebf49752832aa2f27a53a6a9846256e4e9e9eec7c5285ad2db2cb8995ecfc
 DIST tensorflow-runtime-c3e082762b7664bbc7ffd2c39e86464928e27c0c.tar.gz 15263217 BLAKE2B cb782725c7e876ee39c2d9dab589c40ebbfea6b1002bd7809464514e46c5cdff30defcfac9c0bea3863d6c525ea919c201874774c194252f70ea44ea45da5f61 SHA512 2f01b37e7f042d35f6fb854db67afc46451b6d9120317dca8bb255e53825460ab9ad34a6cf6e2cd2728bb2117e2aa056f826ccacdcf4f898512715d58f5b4339
-DIST tensorflow-toolchains-v1.1.10.tar.gz 137512 BLAKE2B 774b22a599070564c0f77ed0da79f6a96359b196dd3007370be885b796c236b9a29c01597507a3049f82cf489824c8016740b778cacb2b8cd859500f9ecb1887 SHA512 1daf4684f5b364a89b3cc475cf2d13d0d0622fc14d2b32d7ad8518932538e716782d755cfcedc98d129a3986bc7c38bfc7854c8ad596891e397510b75ae2f93e
-DIST tensorflow-toolchains-v1.2.7.tar.gz 97867 BLAKE2B 2f613366b34b81d044da1407ff6371c6183b14593c719ea82ffc964c310df72282ba102be50a9c65655f9185b4ab59d707fe823608b6e452ebf9afc70589bcd5 SHA512 b70da3594aa0499b4e158258ba29ef30044cb6e354e2608b79274f712976b687b09e28a2576d3d89e6bd8ff41416ee19f2d5505b712ec98488c8b8cb839ede84
 DIST tensorflow-toolchains-v1.3.2.tar.gz 98057 BLAKE2B 01dda11552a989344c9efb0aceb16aea632fbd97ef4687bfd7d6967631ea6ad81c5d2de065a793a25048781b57f881bf2cadf9ba1aabe0f23c836cf062e32278 SHA512 cdf32e849ca4fda6417bd0e1243501e8f9416086dc0dddf3535229c6be33368010584f4709e5acf2b81a4fdee53c27cf81fed1a940db100819851432ec5756fc
diff --git a/sci-libs/tensorflow/tensorflow-2.5.0-r3.ebuild b/sci-libs/tensorflow/tensorflow-2.5.0-r3.ebuild
deleted file mode 100644
index 7056c7fb50f8..000000000000
--- a/sci-libs/tensorflow/tensorflow-2.5.0-r3.ebuild
+++ /dev/null
@@ -1,407 +0,0 @@
-# Copyright 1999-2022 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=7
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python3_{7,8,9} )
-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-3.19.1:=
-	>=dev-libs/re2-0.2019.06.01:=
-	media-libs/giflib
-	media-libs/libjpeg-turbo
-	media-libs/libpng:0
-	<net-libs/grpc-1.39:=
-	net-misc/curl
-	sys-libs/zlib
-	>=sys-apps/hwloc-2:=
-	cuda? (
-		<dev-util/nvidia-cuda-toolkit-11.6_pre:=[profiler]
-		=dev-libs/cudnn-8*
-	)
-	mpi? ( virtual/mpi )
-	python? (
-		${PYTHON_DEPS}
-		<dev-libs/flatbuffers-2.0.6:=
-		dev-python/absl-py[${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[${PYTHON_USEDEP}]
-		dev-python/setuptools[${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}"
-PDEPEND="python? (
-		>=sci-libs/tensorflow-estimator-2.5.0[${PYTHON_USEDEP}]
-	)"
-BDEPEND="
-	app-arch/unzip
-	>=dev-libs/protobuf-3.8.0
-	dev-java/java-config
-	>=dev-util/bazel-3.7.2
-	cuda? (
-		>=dev-util/nvidia-cuda-toolkit-9.1[profiler]
-	)
-	!python? ( dev-lang/python )
-	python? (
-		dev-python/cython[${PYTHON_USEDEP}]
-		dev-python/mock[${PYTHON_USEDEP}]
-		dev-python/setuptools[${PYTHON_USEDEP}]
-		>=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 $(get-cpu-flags)
-	append-cxxflags -std=c++14 # bug 787938
-	filter-flags '-fvtable-verify=@(std|preinit)'
-	bazel_setup_bazelrc
-
-	eapply "${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 "${BUILD_DIR}"
-	use python && python_foreach_impl run_in_build_dir do_compile
-	ebazel shutdown
-}
-
-src_install() {
-	local i l
-	export JAVA_HOME=$(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
-}
diff --git a/sci-libs/tensorflow/tensorflow-2.7.0.ebuild b/sci-libs/tensorflow/tensorflow-2.7.0.ebuild
deleted file mode 100644
index 859afdecc28c..000000000000
--- a/sci-libs/tensorflow/tensorflow-2.7.0.ebuild
+++ /dev/null
@@ -1,407 +0,0 @@
-# Copyright 1999-2022 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=7
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python3_{7,8,9} )
-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/997aaf3a28308eba1b9156aa35ab7bca9688e9f6.tar.gz -> abseil-cpp-997aaf3a28308eba1b9156aa35ab7bca9688e9f6.tar.gz
-	https://github.com/bazelbuild/platforms/releases/download/0.0.2/platforms-0.0.2.tar.gz -> bazelbuild-platforms-0.0.2.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/dfc67056200b674accd08d8f9a21e328098c07e2.tar.gz -> bazel-toolchains-dfc67056200b674accd08d8f9a21e328098c07e2.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/40548a2974f1aea06215272d9c2b47a14a24e556.tar.gz -> bazelbuild-rules_cc-40548a2974f1aea06215272d9c2b47a14a24e556.tar.gz
-	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/0d859a811870d10f53a594927d0d0b97573ad06d.tar.gz -> farmhash-0d859a811870d10f53a594927d0d0b97573ad06d.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/e6c1b8dc8a8b00ee74e7268aac8b18d7260ab1ce.zip -> ruy-e6c1b8dc8a8b00ee74e7268aac8b18d7260ab1ce.zip
-	https://github.com/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz
-	https://github.com/llvm/llvm-project/archive/43d6991c2a4cc2ac374e68c029634f2b59ffdfdf.tar.gz -> llvm-project-43d6991c2a4cc2ac374e68c029634f2b59ffdfdf.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/v2.4.1.tar.gz -> oneDNN-v2.4.1.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/v1.2.7.tar.gz -> tensorflow-toolchains-v1.2.7.tar.gz
-	https://github.com/tensorflow/runtime/archive/64c92c8013b557087351c91b5423b6046d10f206.tar.gz -> tensorflow-runtime-64c92c8013b557087351c91b5423b6046d10f206.tar.gz
-	https://gitlab.com/libeigen/eigen/-/archive/7792b1e909a98703181aecb8810b4b654004c25d/eigen-7792b1e909a98703181aecb8810b4b654004c25d.tar.gz
-	https://github.com/google/XNNPACK/archive/694d2524757f9040e65a02c374e152a462fe57eb.zip -> XNNPACK-694d2524757f9040e65a02c374e152a462fe57eb.zip
-	cuda? (
-		https://github.com/NVIDIA/cudnn-frontend/archive/73210a930333eaf66b42b01693bce7b70719c354.zip -> cudnn-frontend-73210a930333eaf66b42b01693bce7b70719c354.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-cpp/abseil-cpp
-	dev-db/lmdb
-	dev-db/sqlite
-	dev-libs/double-conversion
-	dev-libs/icu:=
-	>=dev-libs/jsoncpp-1.9.2:=
-	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-1.24:=
-	net-misc/curl
-	sys-libs/zlib
-	>=sys-apps/hwloc-2:=
-	cuda? (
-		<dev-util/nvidia-cuda-toolkit-11.6_pre:=[profiler]
-		=dev-libs/cudnn-8*
-	)
-	mpi? ( virtual/mpi )
-	python? (
-		${PYTHON_DEPS}
-		<dev-libs/flatbuffers-2.0.6:=
-		dev-python/absl-py[${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[${PYTHON_USEDEP}]
-		>=net-libs/google-cloud-cpp-0.10.0
-		>=sci-visualization/tensorboard-2.7.0[${PYTHON_USEDEP}]
-	)"
-DEPEND="${RDEPEND}"
-PDEPEND="python? (
-		>=sci-libs/keras-2.7.0[${PYTHON_USEDEP}]
-		>=sci-libs/tensorflow-estimator-2.7.0[${PYTHON_USEDEP}]
-	)"
-BDEPEND="
-	app-arch/unzip
-	>=dev-libs/protobuf-3.8.0
-	dev-java/java-config
-	>=dev-util/bazel-3.7.2
-	cuda? (
-		>=dev-util/nvidia-cuda-toolkit-9.1[profiler]
-	)
-	!python? ( dev-lang/python )
-	python? (
-		dev-python/cython[${PYTHON_USEDEP}]
-		dev-python/mock[${PYTHON_USEDEP}]
-		dev-python/setuptools[${PYTHON_USEDEP}]
-		>=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 $(get-cpu-flags)
-	append-cxxflags -std=c++14 # bug 787938
-	filter-flags '-fvtable-verify=@(std|preinit)'
-	bazel_setup_bazelrc
-
-	eapply "${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
-			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 "${BUILD_DIR}"
-	use python && python_foreach_impl run_in_build_dir do_compile
-	ebazel shutdown
-}
-
-src_install() {
-	local i l
-	export JAVA_HOME=$(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
-}