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

["David Seifert" <soap@gentoo.org>]

commit:     be35a787baf0be37a9c0ce00a628f1b920f9ad35
Author:     David Seifert <soap <AT> gentoo <DOT> org>
AuthorDate: Sun Dec 27 21:10:26 2020 +0000
Commit:     David Seifert <soap <AT> gentoo <DOT> org>
CommitDate: Sun Dec 27 21:10:26 2020 +0000
URL:        https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=be35a787

sci-libs/tensorflow: Remove old 2.3.1-r1

* Blocks cudnn cleanup

Package-Manager: Portage-3.0.12, Repoman-3.0.2
Signed-off-by: David Seifert <soap <AT> gentoo.org>

 sci-libs/tensorflow/Manifest                   |   9 -
 sci-libs/tensorflow/tensorflow-2.3.1-r1.ebuild | 405 -------------------------
 sci-libs/tensorflow/tensorflow-2.4.0.ebuild    |   8 +-
 3 files changed, 1 insertion(+), 421 deletions(-)

diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest
index 86f28c0bbcf..dd935933df6 100644
--- a/sci-libs/tensorflow/Manifest
+++ b/sci-libs/tensorflow/Manifest
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 DIST bazel_skylib-0.9.0.tar.gz 84644 BLAKE2B 40b69a524e632ea00d34b9cf805b882ac4c549dd465ef37f28e54729ff1b614a7610a4895cede4e0c938edba5b19f781f3c0bfdb62bde628ee0af21d6b679546 SHA512 af4bcb641fed05d15f2d0ffe0e3abdfe9c7a5deb9c53064992d6605d224ded1648b1bdfa293e161028913f9f2c178c68cc38bc16028892ca5b0f52b4e645209d
-DIST bazelbuild-apple_support-501b4afb27745c4813a88ffa28acd901408014e4.tar.gz 19956 BLAKE2B 73f04a13f8ac3552e6f0770d1ac4edcc1b5ef46e4a3c4f3b83f11eeffa632f764d37aa7a98b35b5be6bd0caef19f84d0dc1b88bc55ff5397012863af4ee6d902 SHA512 732f482338996a62db24bfa6acd2fde6b629ac0a49317ed4e4778a55bbbbb22225f42a6cfa18cdcc51c200e29abe82a1f2a5548df09b7244074ae52e1f62ef66
 DIST bazelbuild-rules_android-v0.1.1.zip 14654 BLAKE2B 1cfd5af08c6eab9602883f62d85ef1b9eb02383f73dcc31ae84af880c9ba228ae349ac6b017c550286e248347193e2c56eba30c86174432429809447dd940ed2 SHA512 80628a5e2ca9806ab031cd0c2f2999bd67f5621a83e8300a51fe6233373bdaf7c90ff8fa9551c81e60fc904c4d7b24554327ac8ed2ee101e92c4ab9319c53f4a
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 DIST bazelbuild-rules_cc-01d4a48911d5e7591ecb1c06d3b8af47fe872371.zip 171775 BLAKE2B ec0ece4555d779bc8380937baac517a8adf3b0176c4bfb1324943a91366ad9688f528a4bd69e4587bcc4ad427c71a53016a3e2d32a050d9d4ec99caac4967a8e SHA512 5c5e82f276c1c962fbd9c7ddf21df9aa4291f3285f3fa07cd2c2790475ccba670b0627fc3d6faedd1508eca4d80bdae64a31383f001f04f3031112be81c3e697
 DIST bazelbuild-rules_closure-308b05b2419edb5c8ee0471b67a40403df940149.tar.gz 464906 BLAKE2B 033d76b8081f4f987e64875ad5c8e7b8f894ec6be58c52ee02c4d31d4480fee02f3f432ea9c4630ad3f5d1163f820aff37f6493da797ec51b148b361ab3c8b25 SHA512 2cd841f4530503ed31fa6425cb749ef29f8a1071b5d55594644303233e58455783cb02402bc23d7104ef036745733087d43075a1fcdab2ac96cd1a9872a6ea4a
 DIST bazelbuild-rules_docker-v0.10.0.tar.gz 549649 BLAKE2B e7a537b21138a5c5d9ce360e46238f57c917d2dbf5dd17887607402227cbe7c5d68aead9db0ecdb74c09eed9dac26eb86e004a9020c251152d15beb48be0e0d7 SHA512 7802107f8520c88646728800637cce54dbcefc54aa4361288a5b46e403e41998bc23e16fbe94f23a2ca52e5c33fc255af65846963c2fd0139ca1195435ce1b03
@@ -14,27 +12,20 @@ DIST bazelbuild-rules_java-7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip 9422 BLA
 DIST bazelbuild-rules_proto-97d8af4dc474595af3900dd85cb3a29ad28cc313.tar.gz 7612 BLAKE2B de9edd2e1f49edaec782cf58c4ebd3dc3c6d144499a18ac76a0685e28bb9fa6898980ea769c54186816dc696b2e9186d929e99602d8ea535409e1fd23b87da7b SHA512 dd2aef9011c6006e8adc777c211174c26ab74e3cf186541aba865012669ceebf7d96fa34a202654cdfb2beee4f67904f5b7736be466f2838cf31dfb3970f69cd
 DIST bazelbuild-rules_python-0.0.1.tar.gz 2302092 BLAKE2B 1db52eebf2461d779f764f2afdd070d1d0dd65eb2b83ccd98c2831da1784614ca281b114064729a9f257c64eceb62975aac8362d231c84f32abdf19aee7a1852 SHA512 40fa069a4482e2f83e29dc8e109652d14d187b2ec8efdcd36e98d117de93d66a938ed74999b42a2293fcb6eccc0a111cbbcf65c5c155579214bb1b96644280a5
 DIST bazelbuild-rules_swift-3eeeb53cebda55b349d64c9fc144e18c5f7c0eb8.tar.gz 140484 BLAKE2B 2526d808a4763fffa16bb035de78993eefe6371a29139b152370081f548d8147868cc95194c06a54f1c5c0cd8b63ffbc59b00686bfaedede2463a448e38c2810 SHA512 e22a85a5dba52cc3474481798264571f6671aace19eecb058b24ac7d586ea7822ed3ae042b4a812671f81d4f9f8915aa2381fa6ac278da7969b976eaf28db636
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 DIST cub-1.9.9.zip 619595 BLAKE2B 265b797a906b03da886de88863236c9ab90daa31498ddf848fcaf5e5ee1342614ad9a41618120ca09cc4c0da3e96eeec5e20ca9d7ba3f9860c507f06d15e59e1 SHA512 8c9c0a3f66f8d518ec07f857b5625e006d52f28bade1c1478a0f37420e2f7586dc3ff029d551748a1802bb5544b16fde5388e8d5a45d61eec595201b9db7a30d
 DIST dlpack-3efc489b55385936531a06ff83425b719387ec63.tar.gz 39637 BLAKE2B 532a3ce3d0e354a73c19433f0210a64ecbf00d9134d06a0ee7462baaff3f2b981524aa630cf250595671d6673105724482c7d69e803179aac247f2020c883bd0 SHA512 3728db5213e887fd946f64ba5dc0c336be9a72a0966ee83f146148749ffc93ddb342e0735df6117d7943874c18f87de5791a28e4a57ea420bb8a4e2a5b7338bc
 DIST eigen-011e0db31d1bed8b7f73662be6d57d9f30fa457a.tar.gz 2667179 BLAKE2B 8e48418615ca95b27c26725c95f0b21202497284ea439ce1d799f1c86e80bc4fcd5951d9e476c9279e1a902da0b4ad029a73bb59ae8fb216508729803598a566 SHA512 cea21877a0aa1a0c1f0bde32494a3f4ffea6ae859d2562cb28c8aafacf009fc7754a110be1be3aa92f0959b7d7ab607768a579bf25a68972b14e30f613f2f54c
-DIST eigen-386d809bde475c65b7940f290efe80e6a05878c4.tar.gz 2628283 BLAKE2B feac186ce8d18026b10be4955267ed65b65b4432f02bcf817da08960c9164bcb22b352c413f59890aac2de87c5e3e9e05ea48dff28635bc8901628af518dc4d2 SHA512 f183bfe235a98dc308c69a1d9e168b538cc92cfbbe35d4e35596b0b2588ecad66212efb3d3ffbba7c8adbd67be24cc4dda5dba8dcdd67245eca2b1a0fb94d380
 DIST farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz 467122 BLAKE2B 8b9dd426f4b9f732df6c8c09d868d1b1cc006c395b1525c46ea91c75318b723358c8e64bb0d86a73aace2032eded93f0d80cc7c2c77fddd6a39e3402ab4f2cb7 SHA512 7f5110514a8cdc7ce48d33fd94ad67d96a24e42e11b203e4d0986f4190545f051b2a63f8e09f2ac38c3aa4a5c62d9a0e02cd8ce02045037381fb62a99f0dcd00
 DIST gemmlowp-fda83bdc38b118cc6b56753bd540caa49e570745.zip 936866 BLAKE2B 0977df121a80de979a9996b58a0a8cad157db8d0862b96f95b3be1157cddbc6b40dff4fc7da4ee78f5986cbfff2a67c173155e849e772ae476398c51f3028311 SHA512 4bf036de43f5e0890f66e0b16cd9a0f52911b160f79c9c50cf403454fa9d6040df225d34e02f424da8bb8c5f7f5c002f88f4d232c61503aa825c907ad8742823
 DIST highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz 138574 BLAKE2B cecd95039fc31545ced38a1949e7cb31d6f34deef7c8923b573aa7a632576d0a9b60fd24fbc8a40b8a840a7d2442ea28382fe842178a77467772ed4ba8a2cfb6 SHA512 d25162ed266a8c9c00e6978fcf642cf924f03c0d196f971d0d6f6a3454ca7dfc82f758eabd038ac08e0a5dacc51eccb9b674f588f64692f37cb7a17150aefe4f
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-DIST llvm-7e825abd5704ce28b166f9463d4bd304348fd2a9.tar.gz 120301408 BLAKE2B 928117c2bae7bcdd2445e9f65297b45b009dfc62e9c16ed08a8f00aacee2497492b6fb4cbea0047a8aa1425b538e02af9b8e6dd21e52348cc45dfbb71ab3f47f SHA512 a9cfbd00a0530e4f5d001029c33be3723ed009799a42bd730a65319da671020a249ae5ba4496f1347a71a9ee69de4e9fe2b80c60ebd1bc4d6d4120bd3d6fecde
 DIST llvm-f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz 127766458 BLAKE2B 7170f72e131ec672a1d81a8f33284568fc367608d2c5940b435a75cf8596dc71588c942c6d24c47a7e88c391b0c4030df6f18f6d1da15140587c8a9b078cd83c SHA512 6ebee8cece3845875d39678d7fe248c71e7c3463554bf345e03c06985afcdcd2a0052338358764ba366c7ecf72cd97703cb06613aeddec3110cf20c30eb70d25
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 DIST pytorch-cpuinfo-d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz 3489028 BLAKE2B aa6b7719eb9871b6cc71318cb4a9c2e2397e665662b7978daecd9e8380304691a78b95118eba5cbbb738c4b490352a847f6ce6b5c4ae29de0543b95ecc557cbb SHA512 ecd2115340fa82a67db7889ce286c3070d5ab9c30b02372b08aac893e90ccebc65c6b3e66aa02a9ae9c57892d2d8c3b77cb836e5fc3b88df2c75d33e574d90d2
 DIST re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz 316237 BLAKE2B 8a975bc3e78b690f70944651c7022c6d946f40b2eb5fe01b2e203141f94b890cf1ad5c72af8e7c6ff3c5242d42af5a8657ed69e3c74d9ac081beb15de6334c0c SHA512 e3e00e92700d08bc55ba0e96148ddf1e00de2d329c1fdac08691ff15976937829f66dbc84af886a4b749ad66ba4ab208d66811e97e33bb9c2d7359735406c450
-DIST ruy-34ea9f4993955fa1ff4eb58e504421806b7f2e8f.zip 312628 BLAKE2B e42c484092f5e93dee11bc7c6a92ade3b63533d3507fa5a805b16e3508b8a20b7cff734197ab9d8e9b0e67e9648987ccedc19a23deea93bb00269d2fc65424a4 SHA512 d1b5a73feb4cced7ee49e9bacb80f437b0bcde204c3bc082a2729efb1989517ac97d764d6fe00bd66f0d5349d19d9e0593868c8d22369dc38732cd2204419b1d
 DIST ruy-5bb02fbf90824c2eb6cd7418f766c593106a332b.zip 312653 BLAKE2B 57439930979de125ece2a2dec5e0813873866a167bd5b323b1bda2838def1b96e1925fca52eea9be851d15a99d0b43026be1f0d27cb9aa973b86891a480c3a8f SHA512 ed6bbc89fc44bd27b0bdca744d2c6822d7311045f99abf790c1ee0c9b3cbedbdb2d3f7098c55a6294890865050aaade3e6806c2c769c5827d4ac3eaaf81e5d44
 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-2.3.1.tar.gz 46544608 BLAKE2B c3cb0954fcd060b95d63895cbeeca20f6af29ade999dc43db5fe010d6b33b6f650047d529f174a1663c23440a56e057e2f97c503a4a40bcdac9374b549f3220e SHA512 e497ef4564f50abf9f918be4522cf702f4cf945cb1ebf83af1386ac4ddc7373b3ba70c7f803f8ca06faf2c6b5396e60b1e0e9b97bfbd667e733b08b6e6d70ef0
 DIST tensorflow-2.4.0.tar.gz 53257138 BLAKE2B 21973f67a7a4cb91baccbd3a4d9c8bce4c7f488ed44e834122b0fa0fc47b22d48276ecd9b580fa839c32a3dacac73bc010f91a27e5568df4dd9986b14b7eeb4f SHA512 4860c148fd931c4dc7c558128e545e2b6384e590a3fbc266a5bfe842a8307f23f1f7e0103bda3a383e7c77edad2bb76dec02da8be400a40956072df19c5d4dbd
-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

diff --git a/sci-libs/tensorflow/tensorflow-2.3.1-r1.ebuild b/sci-libs/tensorflow/tensorflow-2.3.1-r1.ebuild
deleted file mode 100644
index 5ac893347dd..00000000000
--- a/sci-libs/tensorflow/tensorflow-2.3.1-r1.ebuild
+++ /dev/null
@@ -1,405 +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/386d809bde475c65b7940f290efe80e6a05878c4/eigen-386d809bde475c65b7940f290efe80e6a05878c4.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_apple/archive/5131f3d46794bf227d296c82f30c2499c9de3c5b.tar.gz -> bazelbuild-rules_apple-5131f3d46794bf227d296c82f30c2499c9de3c5b.tar.gz
-	https://github.com/bazelbuild/rules_android/archive/v0.1.1.zip -> bazelbuild-rules_android-v0.1.1.zip
-	https://github.com/bazelbuild/apple_support/archive/501b4afb27745c4813a88ffa28acd901408014e4.tar.gz -> bazelbuild-apple_support-501b4afb27745c4813a88ffa28acd901408014e4.tar.gz
-	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/7e825abd5704ce28b166f9463d4bd304348fd2a9.tar.gz -> llvm-7e825abd5704ce28b166f9463d4bd304348fd2a9.tar.gz
-	https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
-	https://github.com/google/ruy/archive/34ea9f4993955fa1ff4eb58e504421806b7f2e8f.zip -> ruy-34ea9f4993955fa1ff4eb58e504421806b7f2e8f.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/5949d96f36d050e59d05872f8bbffd2549318e95.tar.gz -> nvidia-nccl-5949d96f36d050e59d05872f8bbffd2549318e95.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 -> ${P}.tar.gz
-		https://dev.gentoo.org/~perfinion/patches/tensorflow-patches-${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-3.8.0:=
-	>=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-10.2*[profiler] =dev-libs/cudnn-7* )
-		        ( =dev-util/nvidia-cuda-toolkit-10.1*[profiler] =dev-libs/cudnn-7* )
-		        ( =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/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[${PYTHON_USEDEP}]
-		>=dev-python/protobuf-python-3.8.0[${PYTHON_USEDEP}]
-		dev-python/pybind11[${PYTHON_USEDEP}]
-		dev-python/six[${PYTHON_USEDEP}]
-		dev-python/termcolor[${PYTHON_USEDEP}]
-		>=dev-python/grpcio-1.28[${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-1.1.0[${PYTHON_USEDEP}]
-		>=sci-visualization/tensorboard-2.3.0[${PYTHON_USEDEP}]
-		dev-python/dill[${PYTHON_USEDEP}]
-		dev-python/tblib[${PYTHON_USEDEP}]
-	)"
-DEPEND="${RDEPEND}
-	python? (
-		dev-python/mock
-		dev-python/setuptools
-	)"
-PDEPEND="python? (
-		>=sci-libs/tensorflow-estimator-2.3.0[${PYTHON_USEDEP}]
-	)"
-BDEPEND="
-	app-arch/unzip
-	>=dev-libs/protobuf-3.8.0
-	dev-java/java-config
-	dev-lang/swig
-	=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
-			swig
-			tblib_archive
-			termcolor_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.ebuild b/sci-libs/tensorflow/tensorflow-2.4.0.ebuild
index a953b71ef79..cf9a7cb8b16 100644
--- a/sci-libs/tensorflow/tensorflow-2.4.0.ebuild
+++ b/sci-libs/tensorflow/tensorflow-2.4.0.ebuild
@@ -84,13 +84,7 @@ RDEPEND="
 	>=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* )
+			( =dev-util/nvidia-cuda-toolkit-11.1*[profiler] =dev-libs/cudnn-8* )
 		)
 	)
 	mpi? ( virtual/mpi )