sci-libs/tensorflow: drop old

Signed-off-by: Jason Zaman <perfinion@gentoo.org>
Package-Manager: Portage-2.3.62, Repoman-2.3.11

7 files changed, 0 insertions, 1825 deletions

diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest
index edb1878c323c..c862a1696cc1 100644
--- a/sci-libs/tensorflow/Manifest
+++ b/sci-libs/tensorflow/Manifest
@@ -1,42 +1,16 @@
-DIST ARM_NEON_2_x86_SSE-0f77d9d182265259b135dad949230ecbf1a2633d.tar.gz 99753 BLAKE2B 79b0c9e2f3a8de91bb042e55cbc9f589970add4c9bdccd96c9a0f38887418c97aa67fc433b4feffb92a1384039b0d68a7cc6cda141371427a310172422bd41d6 SHA512 a21df040a5b3f67d9be006ae414113fa1ca86d38fa446acfab18afcbbb89ee7c48776fac5565d0694c99f1ff6ead3b10a9915eac7aae4d2a532ef5ac126a0072
 DIST ARM_NEON_2_x86_SSE-1200fe90bb174a6224a525ee60148671a786a71f.tar.gz 100612 BLAKE2B 84f81072d3298dde613b4c1ebabf852c67e04b5882a4ca0ed6f218b42e8fa3ea9598140b0c0009e8d6b62d08902622a6d57ee005ec3ad8a808c9fb21aa53430c SHA512 03a289d8099a5c4a5298cba8f516d2edb41220935d8db750970113ca7513372c78241c2c948d0ffcd60e84686e50ba1d7fd0b46efea6881dd320435eca92a7b9
 DIST abseil-cpp-389ec3f906f018661a5308458d623d01f96d7b23.tar.gz 1180190 BLAKE2B beec1338bf8cfa99d0de3bdb1631da5385317e68bf87f5da154ceab9455af7221f140838e41f4087d7d0064c22f93dce5860c484a8e4026b46efa103a52db307 SHA512 20d2cc8d23eb729607692d861049dccbd6b4af56fc4ed7733492348e3fe879d7acc6316f0d6e1c683f98188f028d460a40cab35667856cf334aa5f00fc830911
-DIST abseil-cpp-48cd2c3f351ff188bc85684b84a91b6e6d17d896.tar.gz 1181139 BLAKE2B 06b4f2ab1aa8847d7d885e62d0fdbcbb559e9b8b8d0d336a51d75db26354eb95649a684921afadf49cda021bb8d7c7efc3fc33a1bbc74e06267cb13727bb8833 SHA512 6ed7345f05b09da0b51616f2aaa578873002394519e037489f8b6621ff580bf5291cd2870f3fa7b5bcc4f9c4b79f0ebbddd52469abbb619f93c08ddf0fb84e15
-DIST abseil-cpp-9613678332c976568272c8f4a78631a29159271d.tar.gz 875263 BLAKE2B f11af5582ef3e00155361de2185b703fc9edde1b6cbefce62224da7b13e1beae219076f144b7b8d4bf63d1b21a73beb77fbb437e6d91e6d59a233846d91c1a99 SHA512 a3694d4c74f542f7a55872707548469e1bdc6dcd05d40ffd62de41d7440dc1fb98d260f690a6799ad39142e35226b04aacc6122aa1edf104fc9d396997995a8c
-DIST abseil-cpp-f0f15c2778b0e4959244dd25e63f445a455870f5.tar.gz 1025885 BLAKE2B aa8c79912d94b67a23f42e1f2de387e8493fdff32b79ea5e958fd5b44bc2a8c804170a251d8166c4f01fd883f20962a437822b2bdd5ec614161491487833bdfc SHA512 54b664528f754f6c76888599d3a7069a7284b5dc17a31442a52faa9d3fdca23cbe3e4c1628d79c95c483f4ce6058e4d874e27ea4f859b9cafb8bb192e5093670
-DIST abseil-py-0.2.2.tar.gz 189357 BLAKE2B b53976b50f1738d671a32df2fabf197785cb4be1f68dbf7f0bdd5bbbb1a73439646f5b6a9ea42d5df40debdbb8e8c72c554f428a948f3117dba5d6a8e2b473f2 SHA512 d2a393e78acc9ac28fc9b1129c23de9c2ab6059a7527eaa29e4182356b16cbce1fede94af2a8b51af9d1c606b162d8ae84eb3036ced784a89d4f7547bfce73ed
 DIST backports.weakref-1.0rc1.tar.gz 7761 BLAKE2B 4cb2554a4b71bb1f8c41a790268511e4b382effc7e0328f74346d086de539a177111de9e2dabac19a44b2a1cdbf59a7425e30eee4caa4bfe66b0ca97f1f460a9 SHA512 f37e9eb0d9060d2e1588a941f623460bd4477d7e180b38b5cd46d9c1db1ee094ae63e4f5eeeb422823bf3d067f46c4124cb124a9e4ddb795bc0bfbc4802ab826
 DIST bazel-toolchains-3f8c58fe530fedc446de04673bc1e32985887dea.tar.gz 416360 BLAKE2B 4d7960302cb70247f8166647b991d74aa0514d218c9de4c97fe267ecb789e9966cfd8e546fe11661c92034df7a8de72596c5c5ddea10d145d6783cdc5aba2f9b SHA512 9a810b0a70f81fe3b9a1f23b2d171bbe723f7a33374b2caf7ce398572965f21b9de00791122c32b36e68a572b1b8982be378730f1c9f22bc375ae5f5c1c32873
 DIST bazelbuild-rules_closure-dbb96841cc0a5fb2664c37822803b06dab20c7d1.tar.gz 435984 BLAKE2B 1ec325861e5e5292b2153119beff3b3be743b4833adf3571eab1a066fef06a61131ef0a761e6f8ba4bf978e7c1c073f197f48a507cd1259ee346d4209129211d SHA512 13991822624e5bdcc2424299acb1b9ce12880f46ebbf2065d7d19a66c77f1a6802862a7ea96334fc91a1c85cff516fd32a493320f0a4d98f19e9d33e5f887986
-DIST boringssl-a0fb951d2a26a8ee746b52f3ba81ab011a0af778.tar.gz 22702000 BLAKE2B d54e52832ea2655590ee6d3c9063f684cd1ac1efacc6e6c60fe3177f799eaae6cf3d6fbb1a616e98514dd0bdc84ee35731bd9e285b5cd7a91a19b9493f694582 SHA512 879a48626fb58263d117f8a8b1c5b69fa99e1f06e71d5321620b16c107011c1f22d3e3443b5ad6a908ca139fcc55bdfc36fb80e884fe4490fc4dd982b668f128
 DIST cub-1.8.0.zip 602396 BLAKE2B a5e302a52e04f85ae8e1836c59e799532a8b961a8d10c08fe1241c9045f88e31f1ebda6d26124b85c6df40968e1c7b3985a39961bf7614535aafcab2da1a576a SHA512 6167c5be94989f88e05a07508cf69cf2c6b22a5ac733804043daa46bd86a44a15a758b1ffb811bab28b82039d027516ed85b3d9f7677a740a7e00ec9c2f81aed
 DIST double-conversion-3992066a95b823efc8ccc1baf82a1cfc73f6e9b8.zip 7071029 BLAKE2B 722c190c941b169a3292ce2141c59b8eb1bcc5edd2ed09669592dddb9354e4c6c094dafe02e5a154f215aec776f9f7cebae36b9b0317b10b707282b1ca9449a5 SHA512 1db0d4805c80e9a08d9a581051d8708ddbfe1d74fd820dccde2c2405c45c06a861bd5b535b25d191cd01064e268f3fe71e58bef16fd39471812aea6c2f97da43
 DIST eigen-9f48e814419e.tar.gz 2430237 BLAKE2B 2d9df1a23ae049e57366fa6838ee8d4b3cecf2d859ec5ffa07bf18878976a2bd99d7dd94bb08f484a8941b5cf8ac091f837a533f081232c70a45ee0583143ba3 SHA512 ee6d8773d910dbf6798cb849ef7611f0f7aaef9ed68216e91c65bd996b8a92b6c107454f6d8599d83bfa6dede7144c83924de8479a9138c7b456b086cd527ebf
-DIST eigen-fd6845384b86.tar.gz 2312810 BLAKE2B aae02b053e9b22b0c063d1173b28fd7d71cdec6b6e6702624b8fdeb707ada24e5415079f1a1c7b8fe108c7e632c6c736e13cfbdc101270742565b7045a57616a SHA512 b999e60236abf7a6a5062aa55b0aeefe9254b204416092649d4a88d42fef7c571e3ba563bbbf94033093f789511793d614c1ce94a0a0f3eb4b18df466b6345a5
 DIST farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz 467122 BLAKE2B 8b9dd426f4b9f732df6c8c09d868d1b1cc006c395b1525c46ea91c75318b723358c8e64bb0d86a73aace2032eded93f0d80cc7c2c77fddd6a39e3402ab4f2cb7 SHA512 7f5110514a8cdc7ce48d33fd94ad67d96a24e42e11b203e4d0986f4190545f051b2a63f8e09f2ac38c3aa4a5c62d9a0e02cd8ce02045037381fb62a99f0dcd00
-DIST flatbuffers-1.9.0.tar.gz 681752 BLAKE2B 7886895f79ad5b8b62c4acb479d60a6fe16226a1a9daadf2c457189b7a3381676ba9dd3f8e2af5ebd5f2d78c6ac37d9d83de88ee08b566fd4e4507ecdb887938 SHA512 0ba07dbe5b2fde1d0a6e14ee26ee2816062541d934eda204b846a30c019362f2626761b628c900293928b9b546dba8ca477c13182e022c3e0e0a142fd67f0696
-DIST gast-0.2.0.tar.gz 9400 BLAKE2B 1392b9ef3a007d89b6b7af5ca49f3dcaa0689e166845ea25c2e544578f65915114d763b54503825dc2b6958a71ac284ec7ae2cc2cfa861494da28df786d679b4 SHA512 651719c3035d21e02e39cd83fd54212a12c39addf69f7c9e8810ccb7bb9aae7828e176ad0adf55182f0628f18d76cb1e286e498a9665ddb12e91a51dc2303381
 DIST gemmlowp-38ebac7b059e84692f53e5938f97a9943c120d98.zip 916632 BLAKE2B 0bde9faf0e185fc69999173eb0b5a2e106d252ee1bc6caf38b1adc27bde96e4e2b52a3d723c8b1af922386c0e933bfcc674be974cee059c1d9b16ff6ac631c3e SHA512 eb141182dff058048c559723e6aa7127244dcc6a5a0bfd1250bbb262f34378dccf15b1b930cf46dcb6ac22ac16e3fa2781cca63cd93865506a36ab7e463aa537
-DIST google-cloud-cpp-f875700a023bdd706333cde45aee8758b272c357.tar.gz 630301 BLAKE2B b3e9a4b692530fcd94a1b41103063085e4368fa627e9b003d9ea1a9d1be473f34a5d2215ec38f54b5154bd72326930b3099d8d6bd2bcb518657c1a44b7a1b9dd SHA512 da838ce2b40b458609f77f0ec5c060b6099884500cfb4e678648ee2e37aeedde9605772ed94eb93f1c503880fbad2703dfc0621063c6f5076fed202136ebb64c
-DIST googleapis-f81082ea1e2f85c43649bee26e0d9871d4b41cdb.zip 1099608 BLAKE2B 7b27f5355d68a0785b7d715d2da71a8e2f9c9609b090d3e2cf3fe974ac13b78c5e9fc43b88cc2ee5e8b268243ef8fe1b81cc4c27cb21b9a26fbe0825724bd8a7 SHA512 d63b5d824bbc73079db44671173f06353ca8c55ad86a86483ffd4dd88b0ef2b5ccb857d56b6e6e73c3bd7fd098b887ffbbbd138faaea9291ade34ff46502bfea
-DIST grpc-1.13.0.tar.gz 13755973 BLAKE2B 533f0a7d4eb606b8a55f12aade503285dbff2cfa29ff2af71d407e3df25f3ec4b7572335c455d5dd0069eb343f18f8641a4f9326065cc118922942f77d2d2403 SHA512 25a489cd67d12219696c397afa75282eb702bd0af418381990b2eeb4b56483a46276d05314710582dd17be04c80aaf9bb16e01e2c1729d9a59d84ff273baa254
 DIST highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz 138574 BLAKE2B cecd95039fc31545ced38a1949e7cb31d6f34deef7c8923b573aa7a632576d0a9b60fd24fbc8a40b8a840a7d2442ea28382fe842178a77467772ed4ba8a2cfb6 SHA512 d25162ed266a8c9c00e6978fcf642cf924f03c0d196f971d0d6f6a3454ca7dfc82f758eabd038ac08e0a5dacc51eccb9b674f588f64692f37cb7a17150aefe4f
-DIST jemalloc-4.4.0.tar.gz 444180 BLAKE2B fde0ce34e56deab10e01387aeeb3ec1c5c01a21324c2144a3dfd5c96798aa38fdd4320a91a3b4cdd0ccc956adc107f8db893a1c129a83721ec19f014cea6e638 SHA512 77ee7554e8c4621d1c8ef65402213044718137c513c4c44249929f2df7e89029ea710dec3e67b9068feeb89a87634fa5c2093cd875b8aed98153c7fb5a9d999f
-DIST llvm-bd8c8d759852871609ba2e4e79868420f751949d.tar.gz 42053858 BLAKE2B d8f1e7728eeb7aa7e2eaf8456088b54aa29dbcdf9635823dff4501ec5d1c382d74c8dacfcfc89aed9c42d754a757c755bdd11a5b7be213bebbe4349f972165bc SHA512 470499b7f70a4fe8f4399f74b3e02aa511bf4786ee36fd8d28459e1d426761e110dede19c3786adb824e8d4d49386e27b5a01e752bb1c39e4df294ed71771404
-DIST nsync-1.20.1.tar.gz 154106 BLAKE2B 94eeb647de2ca58a3f3837119ef30805f0a72a9d12c19aa705f815955723ddefa1de4d2a3fe5fd0b227ffdd70d5208ab9a300e40b2aff2591a1cef28c79b450a SHA512 d7b9be1052b7d11d896d3fade822f7b1eebbd0a772c9f6e2cd827921f1adc29ed18f7587ebc7d29623d230be384a7a2356c1da3abd53567fc934979d89c70e0c
-DIST nvidia-nccl-03d856977ecbaac87e598c0c4bafca96761b9ac7.tar.gz 47849 BLAKE2B fb2a6fc1e45057c4150c1dae2a5058a12d8641b3f5dfdd982661b4351ec9df39ac3aefaf4dfa9c8606ddf7fd1c4a8b35683e5e5eddd74cbc63ee025b33d4b731 SHA512 eb555030e9d60d68c4094e85f16e0b74de7f61602c742d57bc2029d12c719084a2fd1214c13467ff262f6f3932508754159af5f014e6f16d279d14e1fafa9b8a
 DIST nvidia-nccl-f93fe9bfd94884cec2ba711897222e0df5569a53.tar.gz 95617 BLAKE2B 023788db444b1a50f01ab16f126c920f530a6ff5bf2a9327626db45f985b4093c1024d16d43cdee9f0b3ee5c8b7d104f2a6b1dab0460c6b1998b42a0354f6f27 SHA512 d6b4dd4d6c7c9ca2dcf0699055c9193d4b46c0c5155e0108db38094577c92f954f604b2e83ca320873288e0010eaa3c5812f05f7fafe5112bebbca78e56cb279
 DIST oourafft-20061228.tgz 72213 BLAKE2B 4a3ac2b4c0bc3275b5743df59241e1cdbd0200371c153ddf54ef6c7c4ec523ee6560547e2d5ef9f3200037c0635bf41c18991ac35f271b1e600d0dbd65d1a9a7 SHA512 f1ceac00cb7b9eb8f625eee7f1f5eea8af363343589a344226628d68baf668c176e6c23b7f904c4e682330352eaa0cd5d00731340d208e94c9657b8f85ae2240
-DIST protobuf-3.6.0.tar.gz 4483224 BLAKE2B b6716d33c14ab98a05676a3369b4762179df88ed3e8c34b93075c12edc10213bf1c427a59a8840bc64b53365264021b8075a02a44478c998062cf04da95c0075 SHA512 46df0187e5c9e7d213930d916f6c89e7a41eca1aaac228d8f56e3f784598a9f323d7cc2d3cf20668ceb776d3237c4eccf685ef8d7808f09107fa8e441f9899f4
 DIST rules_docker-a9bb1dab84cdf46e34d1b34b53a17bda129b5eba.tar.gz 446437 BLAKE2B 070e1028625c74e6fbd092a3f8c6cf6de3b98d8999fdd69527674cfc55f00bd7638f7cb1eba41d496d1de3307b81b9dfd832d7d4bc65f9d98cd53714cb24bb02 SHA512 e43c013027a7235e85c263d8cfc40f9af77f54d054665116bb8641ed7f60d077b9107aa97da5b7e102077b68be7d2cbe401091016bd46f8828ae159659ce9608
-DIST tensorflow-1.10.0.tar.gz 24490786 BLAKE2B 2ecec19b2b2ebb2e292ec07fee458017aa3fcc4c1445e6c9419ea9bd37990a58607c8f3134c785be0e3ae098c332a734fb85717b2ecd781551a0c8f20ffca8f2 SHA512 a25257ad7e561c2040ba9dda699acb24b757e6d79c60324cab20d8d8a428fef79a06a3627a95a59e2c8408a094666b9aa6d8af1c5419fa8c238e1f5e10e9ec33
-DIST tensorflow-1.11.0.tar.gz 25024790 BLAKE2B 74129fb1e6db0317fd45266dae7aa4fab811e1ebf0d093f3153684fa4465f4319cbf8fd50c6667f9c4ddbce5c100ee00151ec2873eca93ef7d5ebbc04ab6b965 SHA512 26e9542c43e11a663cbc5cf42859ae7b6dc0e92cfa88775fd4d1badba7f08c59b60c05010fd9f3ec501313be5c042f39b17323bb4753babf365ba2a48af836c2
-DIST tensorflow-1.12.0.tar.gz 26341737 BLAKE2B 6b9e21a9367ec7454916af327ae21fc6c46e54885f30823784985a61193654fd1942cbd3b5688f55cbd63f890417eac812d0cdb576d0f0b8677df92c259837c0 SHA512 b145a9118856aa00a829ab6af89bff4e1e131371c96d77b07532544112803c4574d97ef224b28a64437a2af8db4286786dc0b4123efe110b2aa734b443a7e238
-DIST tensorflow-1.13.0_rc0.tar.gz 31616223 BLAKE2B b4cb76cdb0e79639e8a1282835101d8a5e23a0e9d659dfbc01d8395528d05c434d0cc93df010086acbc338590d8ced3d95b4b00d6e1a7ebbe8d1df1f87265114 SHA512 0d8f88a8882ae1f69eee82fd54a836b3a0629c6a274af8ef329421445aeb446b651b90285c3ea19cb768860fd759e715dea481d5a07ec722ebd34323331e61dd
-DIST tensorflow-1.13.0_rc2.tar.gz 31616906 BLAKE2B 94e6ba8a56cad25e1c90950c75129d77bd6351dcd4e87721efb41cd560835ca7212d1f1a932c54c2f328756f92afe1fe299c48e9b520aea74bbb3b0928b0c356 SHA512 a0b5c961f56530cf5245d4f2f0d51642829dd348b811315eff533dae9f77d38e99f03ec0d61c40a20237758916a7173f4baf99a474717c1aefc111614f9171e0
 DIST tensorflow-1.13.1.tar.gz 31614228 BLAKE2B 3e78309744747afd5a0929eebccb414efe51320f9291424ef6e3cb848f265aaac5ff16a7064c7aac8094f06b1edb61aa9fe22a55c28c23cfc4e2a6f640f4f12d SHA512 1e5c020a82b0b502c9c6fc9439905e19e8f1fb07e32740a5e2c70f4a3565c8c87053ccdcad360e95550dad648154e399ca8e352fb97a1788acfec3b87bf323bb
-DIST tensorflow-patches-1.10.0.tar.bz2 4032 BLAKE2B 8588deec74179d8044af631de8e651491cc713553ee15ece9dff5052bd95b10924bdbe4301453f00d0f2fccd5d595d496b48fe45b0259837653b2de9e1898ab9 SHA512 1f57995ca9b3278735636cc42c88dc45558fa6a1d656108293f8df3fd9961d75f5e979bf0a9909136134e1cdaab41a34f83e605b48b23dddf17a6b1be684117b
-DIST tensorflow-patches-1.11.0.tar.bz2 11013 BLAKE2B 929cb9fee5e6b63f00341351908d3050c676670d9cc2c1241bd2e3c86601704a7495ab598b992718f0b51fc369e33e7c646bc5db3ba3b86b18326b1c2d2974a8 SHA512 76a94c9444e1d984afaf080222d430032636204d05a5e3ff5530012dfa1eba78619dd2a2942343ccc2f7fc489eb8c6f51fddd0b84cb2c2db645b2b914cc61f80
-DIST tensorflow-patches-1.12.0.tar.bz2 10638 BLAKE2B fc2c30f6b425390f5791df8ec409165aa4cc242eb93885845cc34e8302f781b267efaebf9e996f0cbc7558d975d742fb2e5509df9f06d85a370ea73795f92c49 SHA512 2b734e206eda58c898ad7090b3fe371b08c06dcb52d07fc0991548cec7e45c2500e797dd7b98b8a3a4416b85c8886314bd75921d0cd6d942a7cd15688954dd5d
 DIST tensorflow-python-license.rst.txt 45132 BLAKE2B 770ddd87adc745a021daac01a284131825a33f176002a28b20a2251246183bf7ab4686305620678285e4a216a37f01b3ad953fe7864fa79611cccde156d69ab6 SHA512 2d5a3783ec340f24797e89c78007ee95ab753eb5ee8198c739544f9e1159895f7abe816d6b3c66620f8d7b64641d2a7f44ff0a5b4f2f941928f4733157c7995e
-DIST tensorflow-python-license.txt 45132 BLAKE2B 1f572a06eeb4a58a5563b87a2db381a6e9eb0195cf1d006bda0d3da158e62a1e67e889a7d3d0da83d8609c0d048887bcbbd0d7056fd8e4f56b654047f36936fa SHA512 1b8c2f9733fcf27d560879418c366b5c3e44420d42adb3b857ee741793ddc75ad18324b016909457e5311f2143593392ce4404d12962f076e62f6036afbb521e
diff --git a/sci-libs/tensorflow/metadata.xml b/sci-libs/tensorflow/metadata.xml
index fd7eed034544..e7d7916b7516 100644
--- a/sci-libs/tensorflow/metadata.xml
+++ b/sci-libs/tensorflow/metadata.xml
@@ -10,7 +10,6 @@
 	</longdescription>
 	<use>
 		<flag name="cuda">Enable support for nVidia CUDA</flag>
-		<flag name="system-libs">Link with system instead of bundled libraries</flag>
 	</use>
 	<upstream>
 		<remote-id type="github">tensorflow/tensorflow</remote-id>
diff --git a/sci-libs/tensorflow/tensorflow-1.10.0.ebuild b/sci-libs/tensorflow/tensorflow-1.10.0.ebuild
deleted file mode 100644
index cd3af7d25880..000000000000
--- a/sci-libs/tensorflow/tensorflow-1.10.0.ebuild
+++ /dev/null
@@ -1,427 +0,0 @@
-# Copyright 1999-2018 Gentoo Foundation
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=6
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python2_7 python3_{5,6} )
-MY_PV=${PV/_rc/-rc}
-MY_P=${PN}-${MY_PV}
-
-inherit check-reqs cuda distutils-r1 eapi7-ver multiprocessing 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 jemalloc mpi +python +system-libs"
-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="
-	http://www.kurims.kyoto-u.ac.jp/~ooura/fft.tgz -> oourafft-20061228.tgz
-	https://bitbucket.org/eigen/eigen/get/fd6845384b86.tar.gz -> eigen-fd6845384b86.tar.gz
-	https://github.com/abseil/abseil-cpp/archive/9613678332c976568272c8f4a78631a29159271d.tar.gz -> abseil-cpp-9613678332c976568272c8f4a78631a29159271d.tar.gz
-	https://github.com/bazelbuild/rules_closure/archive/dbb96841cc0a5fb2664c37822803b06dab20c7d1.tar.gz -> bazelbuild-rules_closure-dbb96841cc0a5fb2664c37822803b06dab20c7d1.tar.gz
-	https://github.com/google/double-conversion/archive/3992066a95b823efc8ccc1baf82a1cfc73f6e9b8.zip -> double-conversion-3992066a95b823efc8ccc1baf82a1cfc73f6e9b8.zip
-	https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz -> farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
-	https://github.com/google/gemmlowp/archive/38ebac7b059e84692f53e5938f97a9943c120d98.zip -> gemmlowp-38ebac7b059e84692f53e5938f97a9943c120d98.zip
-	https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
-	https://github.com/google/protobuf/archive/v3.6.0.tar.gz -> protobuf-3.6.0.tar.gz
-	jemalloc? ( https://github.com/jemalloc/jemalloc/archive/4.4.0.tar.gz -> jemalloc-4.4.0.tar.gz )
-	cuda? (
-		https://github.com/nvidia/nccl/archive/03d856977ecbaac87e598c0c4bafca96761b9ac7.tar.gz -> nvidia-nccl-03d856977ecbaac87e598c0c4bafca96761b9ac7.tar.gz
-		https://github.com/NVlabs/cub/archive/1.8.0.zip -> cub-1.8.0.zip
-	)
-	python? (
-		https://github.com/abseil/abseil-py/archive/pypi-v0.2.2.tar.gz -> abseil-py-0.2.2.tar.gz
-		https://github.com/googleapis/googleapis/archive/f81082ea1e2f85c43649bee26e0d9871d4b41cdb.zip -> googleapis-f81082ea1e2f85c43649bee26e0d9871d4b41cdb.zip
-		https://github.com/GoogleCloudPlatform/google-cloud-cpp/archive/f875700a023bdd706333cde45aee8758b272c357.tar.gz -> google-cloud-cpp-f875700a023bdd706333cde45aee8758b272c357.tar.gz
-		https://github.com/google/boringssl/archive/a0fb951d2a26a8ee746b52f3ba81ab011a0af778.tar.gz -> boringssl-a0fb951d2a26a8ee746b52f3ba81ab011a0af778.tar.gz
-		https://github.com/intel/ARM_NEON_2_x86_SSE/archive/0f77d9d182265259b135dad949230ecbf1a2633d.tar.gz -> ARM_NEON_2_x86_SSE-0f77d9d182265259b135dad949230ecbf1a2633d.tar.gz
-		https://github.com/llvm-mirror/llvm/archive/bd8c8d759852871609ba2e4e79868420f751949d.tar.gz -> llvm-bd8c8d759852871609ba2e4e79868420f751949d.tar.gz
-		https://mirror.bazel.build/docs.python.org/2.7/_sources/license.txt -> tensorflow-python-license.txt
-		https://pypi.python.org/packages/5c/78/ff794fcae2ce8aa6323e789d1f8b3b7765f601e7702726f430e814822b96/gast-0.2.0.tar.gz
-		https://pypi.python.org/packages/bc/cc/3cdb0a02e7e96f6c70bd971bc8a90b8463fda83e264fa9c5c1c98ceabd81/backports.weakref-1.0rc1.tar.gz
-		!system-libs? (
-			https://github.com/google/flatbuffers/archive/v1.9.0.tar.gz -> flatbuffers-1.9.0.tar.gz
-		)
-	)
-	!system-libs? (
-		https://github.com/google/nsync/archive/1.20.1.tar.gz -> nsync-1.20.1.tar.gz
-		https://github.com/grpc/grpc/archive/v1.13.0.tar.gz -> grpc-1.13.0.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/jsoncpp-1.8.4
-	dev-libs/libpcre
-	>=dev-libs/protobuf-3.6.0
-	>=dev-libs/re2-0.2018.04.01
-	media-libs/giflib
-	media-libs/libjpeg-turbo
-	media-libs/libpng:0
-	net-misc/curl
-	sys-libs/zlib
-	cuda? (
-		>=dev-util/nvidia-cuda-toolkit-8.0[profiler]
-		>=dev-libs/cudnn-6.0
-	)
-	jemalloc? ( >=dev-libs/jemalloc-4.4.0 )
-	mpi? ( virtual/mpi )
-	python? (
-		${PYTHON_DEPS}
-		dev-python/absl-py[${PYTHON_USEDEP}]
-		dev-python/astor[${PYTHON_USEDEP}]
-		dev-python/numpy[${PYTHON_USEDEP}]
-		>=dev-python/protobuf-python-3.6.0[${PYTHON_USEDEP}]
-		dev-python/six[${PYTHON_USEDEP}]
-		dev-python/termcolor[${PYTHON_USEDEP}]
-		virtual/python-enum34[${PYTHON_USEDEP}]
-		system-libs? (
-			>=dev-libs/flatbuffers-1.8.0
-		)
-	)
-	system-libs? (
-		dev-libs/nsync
-		>=net-libs/grpc-1.13.0[${PYTHON_USEDEP}]
-	)"
-DEPEND="${RDEPEND}
-	!python? ( dev-lang/python )
-	app-arch/unzip
-	>=dev-util/bazel-0.16.0
-	dev-java/java-config
-	dev-python/mock
-	dev-lang/nasm
-	dev-lang/swig
-	dev-python/cython"
-REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
-
-S="${WORKDIR}/${MY_P}"
-
-DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
-CHECKREQS_MEMORY="5G"
-CHECKREQS_DISK_BUILD="5G"
-
-bazel-get-cpu-flags() {
-	local i f=()
-	# Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
-	for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
-		use cpu_flags_x86_${i} && f+=( -m${i/_/.} )
-	done
-	use cpu_flags_x86_fma3 && f+=( -mfma )
-	echo "${f[*]}"
-}
-
-bazel-get-flags() {
-	local i fs=()
-	for i in ${CFLAGS} $(bazel-get-cpu-flags); do
-		fs+=( "--copt=${i}" "--host_copt=${i}" )
-	done
-	for i in ${CXXFLAGS} $(bazel-get-cpu-flags); do
-		fs+=( "--cxxopt=${i}" "--host_cxxopt=${i}" )
-	done
-	for i in ${CPPFLAGS}; do
-		fs+=( "--copt=${i}" "--host_copt=${i}" )
-		fs+=( "--cxxopt=${i}" "--host_cxxopt=${i}" )
-	done
-	for i in ${LDFLAGS}; do
-		fs+=( "--linkopt=${i}" "--host_linkopt=${i}" )
-	done
-	echo "${fs[*]}"
-}
-
-setup_bazelrc() {
-	if [[ -f "${T}/bazelrc" ]]; then
-		return
-	fi
-
-	# F: fopen_wr
-	# P: /proc/self/setgroups
-	# Even with standalone enabled, the Bazel sandbox binary is run for feature test:
-	# https://github.com/bazelbuild/bazel/blob/7b091c1397a82258e26ab5336df6c8dae1d97384/src/main/java/com/google/devtools/build/lib/sandbox/LinuxSandboxedSpawnRunner.java#L61
-	# https://github.com/bazelbuild/bazel/blob/76555482873ffcf1d32fb40106f89231b37f850a/src/main/tools/linux-sandbox-pid1.cc#L113
-	addpredict /proc
-
-	mkdir -p "${T}/bazel-cache" || die
-	mkdir -p "${T}/bazel-distdir" || die
-
-	cat > "${T}/bazelrc" <<-EOF || die
-	startup --batch
-
-	# dont strip HOME, portage sets a temp per-package dir
-	build --action_env HOME
-
-	# make bazel respect MAKEOPTS
-	build --jobs=$(makeopts_jobs) $(bazel-get-flags)
-	build --compilation_mode=opt --host_compilation_mode=opt
-
-	# Use standalone strategy to deactivate the bazel sandbox, since it
-	# conflicts with FEATURES=sandbox.
-	build --spawn_strategy=standalone --genrule_strategy=standalone
-	test --spawn_strategy=standalone --genrule_strategy=standalone
-
-	build --strip=never
-	build --verbose_failures --noshow_loading_progress
-	test --verbose_test_summary --verbose_failures --noshow_loading_progress
-
-	# make bazel only fetch distfiles from the cache
-	fetch --repository_cache=${T}/bazel-cache/ --distdir=${T}/bazel-distdir/
-	build --repository_cache=${T}/bazel-cache/ --distdir=${T}/bazel-distdir/
-	EOF
-}
-
-ebazel() {
-	# Use different build folders for each multibuild variant.
-	local base_suffix="${MULTIBUILD_VARIANT+-}${MULTIBUILD_VARIANT}"
-	local output_base="${WORKDIR}/bazel-base${base_suffix}"
-	mkdir -p "${output_base}" || die
-
-	einfo Running: bazel --output_base="${output_base}" "$@"
-	bazel --output_base="${output_base}" $@ || die
-}
-
-load_distfiles() {
-	# Populate the bazel distdir to fetch from since it cannot use the network
-	# Bazel looks in distdir but will only look for the original filename, not
-	# the possibly renamed one that portage downloaded. If the line has -> we
-	# need to rename it back, otherwise a simple copy is fine.
-
-	local src dst uri rename
-
-	while read uri rename dst; do
-		src="${uri##*/}"
-		[[ -z $src ]] && continue
-		if [[ "$rename" != "->" ]]; then
-			dst="${src}"
-		fi
-
-		[[ ${A} =~ ${dst} ]] || continue
-
-		if [[ "$dst" == "$src" ]]; then
-			einfo "Copying $dst to bazel distdir $src ..."
-		else
-			einfo "Copying $dst to bazel distdir ..."
-		fi
-		ln -s "${DISTDIR}/${dst}" "${T}/bazel-distdir/${src}" || die
-	done <<< "$(sed -re 's/!?[A-Za-z]+\?\s+\(\s*//g; s/\s+\)//g' <<< "${bazel_external_uris}")"
-}
-
-pkg_setup() {
-	check-reqs_pkg_setup
-}
-
-src_unpack() {
-	# Only unpack the main distfile
-	unpack "${P}.tar.gz"
-	unpack tensorflow-patches-${PVR}.tar.bz2
-}
-
-src_prepare() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	setup_bazelrc
-	load_distfiles
-
-	eapply "${WORKDIR}"/patches/*.patch
-
-	default
-	use python && python_copy_sources
-
-	if use cuda; then
-		for i in /dev/nvidia*; do
-			addpredict $i
-		done
-	fi
-}
-
-src_configure() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	do_configure() {
-		export BAZEL_STRIP=0
-		export CC_OPT_FLAGS=" "
-		export TF_NEED_JEMALLOC=$(usex jemalloc 1 0)
-		export TF_NEED_GCP=0
-		export TF_NEED_HDFS=0
-		export TF_NEED_S3=0
-		export TF_NEED_AWS=0
-		export TF_NEED_KAFKA=0
-		export TF_ENABLE_XLA=0
-		export TF_NEED_GDR=0
-		export TF_NEED_VERBS=0
-		export TF_NEED_OPENCL_SYCL=0
-		export TF_NEED_OPENCL=0
-		export TF_NEED_COMPUTECPP=0
-		export TF_NEED_MKL=0
-		export TF_NEED_MPI=$(usex mpi 1 0)
-		export TF_SET_ANDROID_WORKSPACE=0
-
-		if use python; then
-			python_export PYTHON_SITEDIR
-			export PYTHON_BIN_PATH="${PYTHON}"
-			export PYTHON_LIB_PATH="${PYTHON_SITEDIR}"
-		else
-			export PYTHON_BIN_PATH="$(which python)"
-			export PYTHON_LIB_PATH="$(python -c 'from distutils.sysconfig import *; print(get_python_lib())')"
-		fi
-
-		export TF_NEED_CUDA=$(usex cuda 1 0)
-		export TF_DOWNLOAD_CLANG=0
-		export TF_CUDA_CLANG=0
-		export TF_NEED_TENSORRT=0
-		if use cuda; then
-			export CUDA_TOOLKIT_PATH="${EPREFIX%/}/opt/cuda"
-			export CUDNN_INSTALL_PATH="${EPREFIX%/}/opt/cuda"
-			export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)"
-			export TF_NCCL_VERSION="1"
-
-			TF_CUDA_VERSION="$(best_version dev-util/nvidia-cuda-toolkit)"
-			TF_CUDA_VERSION="${TF_CUDA_VERSION##*cuda-toolkit-}"
-			export TF_CUDA_VERSION="$(ver_cut 1-2 ${TF_CUDA_VERSION})"
-			einfo "Setting CUDA version: $TF_CUDA_VERSION"
-
-			TF_CUDNN_VERSION="$(best_version dev-libs/cudnn)"
-			TF_CUDNN_VERSION="${TF_CUDNN_VERSION##*cudnn-}"
-			export TF_CUDNN_VERSION="$(ver_cut 1-2 ${TF_CUDNN_VERSION})"
-			einfo "Setting CUDNN version: $TF_CUDNN_VERSION"
-		fi
-
-		local SYSLIBS=(
-			astor_archive
-			com_googlesource_code_re2
-			curl
-			cython
-			gif_archive
-			jemalloc
-			jpeg
-			jsoncpp_git
-			lmdb
-			nasm
-			org_sqlite
-			pcre
-			png_archive
-			six_archive
-			snappy
-			swig
-			termcolor_archive
-			zlib_archive
-		)
-		if use system-libs; then
-			SYSLIBS+=( flatbuffers grpc nsync )
-		fi
-
-		SYSLIBS="${SYSLIBS[@]}"
-		export TF_SYSTEM_LIBS="${SYSLIBS// /,}"
-
-		# Only one bazelrc is read, import our one before configure sets its options
-		echo "import ${T}/bazelrc" >> ./.bazelrc
-
-		# This is not autoconf
-		./configure || die
-	}
-	if use python; then
-		python_foreach_impl run_in_build_dir do_configure
-	else
-		do_configure
-	fi
-}
-
-src_compile() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	if use python; then
-		python_setup
-		local MULTIBUILD_VARIANT="${EPYTHON/./_}"
-		cd "${S}-${MULTIBUILD_VARIANT}" || die
-	fi
-
-	ebazel build \
-		//tensorflow:libtensorflow_framework.so \
-		//tensorflow:libtensorflow.so
-	ebazel build //tensorflow:libtensorflow_cc.so
-
-	do_compile() {
-		ebazel build //tensorflow/tools/pip_package:build_pip_package
-	}
-	use python && python_foreach_impl run_in_build_dir do_compile
-}
-
-src_install() {
-	local i j
-	export JAVA_HOME=$(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
-
-		# Symlink to the main .so file
-		python_export PYTHON_SITEDIR
-		rm -rf "${D}/${PYTHON_SITEDIR}/${PN}/lib${PN}_framework.so" || die
-		dosym "../../../lib${PN}_framework.so" "${PYTHON_SITEDIR#${EPREFIX%/}}/${PN}/lib${PN}_framework.so" || die
-
-		python_optimize
-	}
-
-	if use python; then
-		python_foreach_impl run_in_build_dir do_install
-
-		rm -f "${ED}"/usr/lib/python-exec/*/tensorboard || die "failed to remove tensorboard"
-
-		# 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/$n"
-		done
-
-		python_setup
-		local MULTIBUILD_VARIANT="${EPYTHON/./_}"
-		cd "${S}-${MULTIBUILD_VARIANT}" || die
-	fi
-
-	einfo "Installing headers"
-	# Install c c++ and core header files
-	for i in $(find ${PN}/{c,cc,core} -name "*.h"); do
-		insinto /usr/include/${PN}/${i%/*}
-		doins ${i}
-	done
-
-	einfo "Installing generated headers"
-	for i in $(find bazel-genfiles/${PN}/{cc,core} -name "*.h"); do
-		j=${i#bazel-genfiles/}
-		insinto /usr/include/${PN}/${j%/*}
-		doins ${i}
-	done
-
-	einfo "Installing Eigen headers"
-	ebazel build //third_party/eigen3:install_eigen_headers
-	insinto /usr/include/${PN}/
-	doins -r bazel-genfiles/third_party/eigen3/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 ${PN}.pc
-
-	dolib.so bazel-bin/tensorflow/lib${PN}_framework.so
-	dolib.so bazel-bin/tensorflow/lib${PN}.so
-	dolib.so bazel-bin/tensorflow/lib${PN}_cc.so
-
-	einstalldocs
-}
diff --git a/sci-libs/tensorflow/tensorflow-1.11.0.ebuild b/sci-libs/tensorflow/tensorflow-1.11.0.ebuild
deleted file mode 100644
index 77e659bc02ab..000000000000
--- a/sci-libs/tensorflow/tensorflow-1.11.0.ebuild
+++ /dev/null
@@ -1,436 +0,0 @@
-# Copyright 1999-2018 Gentoo Foundation
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=7
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python2_7 python{3_5,3_6} )
-MY_PV=${PV/_rc/-rc}
-MY_P=${PN}-${MY_PV}
-
-inherit check-reqs cuda distutils-r1 multiprocessing 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 jemalloc mpi +python +system-libs"
-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="
-	http://www.kurims.kyoto-u.ac.jp/~ooura/fft.tgz -> oourafft-20061228.tgz
-	https://bitbucket.org/eigen/eigen/get/fd6845384b86.tar.gz -> eigen-fd6845384b86.tar.gz
-	https://github.com/abseil/abseil-cpp/archive/f0f15c2778b0e4959244dd25e63f445a455870f5.tar.gz -> abseil-cpp-f0f15c2778b0e4959244dd25e63f445a455870f5.tar.gz
-	https://github.com/bazelbuild/rules_closure/archive/dbb96841cc0a5fb2664c37822803b06dab20c7d1.tar.gz -> bazelbuild-rules_closure-dbb96841cc0a5fb2664c37822803b06dab20c7d1.tar.gz
-	https://github.com/google/double-conversion/archive/3992066a95b823efc8ccc1baf82a1cfc73f6e9b8.zip -> double-conversion-3992066a95b823efc8ccc1baf82a1cfc73f6e9b8.zip
-	https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz -> farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
-	https://github.com/google/gemmlowp/archive/38ebac7b059e84692f53e5938f97a9943c120d98.zip -> gemmlowp-38ebac7b059e84692f53e5938f97a9943c120d98.zip
-	https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
-	cuda? (
-		https://github.com/nvidia/nccl/archive/03d856977ecbaac87e598c0c4bafca96761b9ac7.tar.gz -> nvidia-nccl-03d856977ecbaac87e598c0c4bafca96761b9ac7.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/0f77d9d182265259b135dad949230ecbf1a2633d.tar.gz -> ARM_NEON_2_x86_SSE-0f77d9d182265259b135dad949230ecbf1a2633d.tar.gz
-		https://mirror.bazel.build/docs.python.org/2.7/_sources/license.txt -> tensorflow-python-license.txt
-		https://pypi.python.org/packages/bc/cc/3cdb0a02e7e96f6c70bd971bc8a90b8463fda83e264fa9c5c1c98ceabd81/backports.weakref-1.0rc1.tar.gz
-		!system-libs? (
-			https://github.com/abseil/abseil-py/archive/pypi-v0.2.2.tar.gz -> abseil-py-0.2.2.tar.gz
-			https://github.com/googleapis/googleapis/archive/f81082ea1e2f85c43649bee26e0d9871d4b41cdb.zip -> googleapis-f81082ea1e2f85c43649bee26e0d9871d4b41cdb.zip
-			https://github.com/GoogleCloudPlatform/google-cloud-cpp/archive/f875700a023bdd706333cde45aee8758b272c357.tar.gz -> google-cloud-cpp-f875700a023bdd706333cde45aee8758b272c357.tar.gz
-			https://github.com/google/boringssl/archive/a0fb951d2a26a8ee746b52f3ba81ab011a0af778.tar.gz -> boringssl-a0fb951d2a26a8ee746b52f3ba81ab011a0af778.tar.gz
-			https://pypi.python.org/packages/5c/78/ff794fcae2ce8aa6323e789d1f8b3b7765f601e7702726f430e814822b96/gast-0.2.0.tar.gz
-		)
-	)
-	!system-libs? (
-		https://github.com/google/protobuf/archive/v3.6.0.tar.gz -> protobuf-3.6.0.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/jsoncpp-1.8.4
-	dev-libs/libpcre
-	dev-libs/nsync
-	>=dev-libs/protobuf-3.6.0
-	>=dev-libs/re2-0.2018.04.01
-	media-libs/giflib
-	media-libs/libjpeg-turbo
-	media-libs/libpng:0
-	>=net-libs/grpc-1.13.0
-	net-misc/curl
-	sys-libs/zlib
-	cuda? (
-		>=dev-util/nvidia-cuda-toolkit-8.0[profiler]
-		>=dev-libs/cudnn-6.0
-	)
-	jemalloc? ( >=dev-libs/jemalloc-4.4.0 )
-	mpi? ( virtual/mpi )
-	python? (
-		${PYTHON_DEPS}
-		>=dev-libs/flatbuffers-1.8.0
-		dev-python/absl-py[${PYTHON_USEDEP}]
-		dev-python/astor[${PYTHON_USEDEP}]
-		dev-python/gast[${PYTHON_USEDEP}]
-		dev-python/numpy[${PYTHON_USEDEP}]
-		>=dev-python/protobuf-python-3.6.0[${PYTHON_USEDEP}]
-		dev-python/six[${PYTHON_USEDEP}]
-		dev-python/termcolor[${PYTHON_USEDEP}]
-		>=net-libs/grpc-1.13.0[python,${PYTHON_USEDEP}]
-		>=sci-libs/keras-applications-1.0.5[${PYTHON_USEDEP}]
-		>=sci-libs/keras-preprocessing-1.0.3[${PYTHON_USEDEP}]
-		>=sci-visualization/tensorboard-${PV}[${PYTHON_USEDEP}]
-		virtual/python-enum34[${PYTHON_USEDEP}]
-		system-libs? (
-			net-libs/google-cloud-cpp
-		)
-	)
-	system-libs? (
-		dev-libs/openssl:0
-	)"
-DEPEND="${RDEPEND}
-	dev-python/mock"
-BDEPEND="
-	app-arch/unzip
-	>=dev-libs/protobuf-3.6.0
-	>=dev-util/bazel-0.16.0
-	dev-java/java-config
-	dev-python/mock
-	dev-lang/swig
-	dev-python/cython
-	cuda? (
-		>=dev-util/nvidia-cuda-toolkit-8.0[profiler]
-	)
-	!python? ( dev-lang/python )
-	python? (
-		>=net-libs/grpc-1.13.0[tools]
-	)"
-REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
-
-S="${WORKDIR}/${MY_P}"
-
-DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
-CHECKREQS_MEMORY="5G"
-CHECKREQS_DISK_BUILD="5G"
-
-bazel-get-cpu-flags() {
-	local i f=()
-	# Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
-	for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
-		use cpu_flags_x86_${i} && f+=( -m${i/_/.} )
-	done
-	use cpu_flags_x86_fma3 && f+=( -mfma )
-	echo "${f[*]}"
-}
-
-bazel-get-flags() {
-	local i fs=()
-	for i in ${CFLAGS} $(bazel-get-cpu-flags); do
-		fs+=( "--copt=${i}" "--host_copt=${i}" )
-	done
-	for i in ${CXXFLAGS} $(bazel-get-cpu-flags); do
-		fs+=( "--cxxopt=${i}" "--host_cxxopt=${i}" )
-	done
-	for i in ${CPPFLAGS}; do
-		fs+=( "--copt=${i}" "--host_copt=${i}" )
-		fs+=( "--cxxopt=${i}" "--host_cxxopt=${i}" )
-	done
-	for i in ${LDFLAGS}; do
-		fs+=( "--linkopt=${i}" "--host_linkopt=${i}" )
-	done
-	echo "${fs[*]}"
-}
-
-setup_bazelrc() {
-	if [[ -f "${T}/bazelrc" ]]; then
-		return
-	fi
-
-	# F: fopen_wr
-	# P: /proc/self/setgroups
-	# Even with standalone enabled, the Bazel sandbox binary is run for feature test:
-	# https://github.com/bazelbuild/bazel/blob/7b091c1397a82258e26ab5336df6c8dae1d97384/src/main/java/com/google/devtools/build/lib/sandbox/LinuxSandboxedSpawnRunner.java#L61
-	# https://github.com/bazelbuild/bazel/blob/76555482873ffcf1d32fb40106f89231b37f850a/src/main/tools/linux-sandbox-pid1.cc#L113
-	addpredict /proc
-
-	mkdir -p "${T}/bazel-cache" || die
-	mkdir -p "${T}/bazel-distdir" || die
-
-	cat > "${T}/bazelrc" <<-EOF || die
-	startup --batch
-
-	# dont strip HOME, portage sets a temp per-package dir
-	build --action_env HOME
-
-	# make bazel respect MAKEOPTS
-	build --jobs=$(makeopts_jobs) $(bazel-get-flags)
-	build --compilation_mode=opt --host_compilation_mode=opt
-
-	# Use standalone strategy to deactivate the bazel sandbox, since it
-	# conflicts with FEATURES=sandbox.
-	build --spawn_strategy=standalone --genrule_strategy=standalone
-	test --spawn_strategy=standalone --genrule_strategy=standalone
-
-	build --strip=never
-	build --verbose_failures --noshow_loading_progress
-	test --verbose_test_summary --verbose_failures --noshow_loading_progress
-
-	# make bazel only fetch distfiles from the cache
-	fetch --repository_cache="${T}/bazel-cache/" --distdir="${T}/bazel-distdir/"
-	build --repository_cache="${T}/bazel-cache/" --distdir="${T}/bazel-distdir/"
-
-	build --define=PREFIX=${EPREFIX%/}/usr
-	build --define=LIBDIR=\$(PREFIX)/$(get_libdir)
-
-	EOF
-
-	tc-is-cross-compiler || \
-		echo "build --nodistinct_host_configuration" >> "${T}/bazelrc" || die
-}
-
-ebazel() {
-	# Use different build folders for each multibuild variant.
-	local base_suffix="${MULTIBUILD_VARIANT+-}${MULTIBUILD_VARIANT}"
-	local output_base="${WORKDIR}/bazel-base${base_suffix}"
-	mkdir -p "${output_base}" || die
-
-	einfo Running: bazel --output_base="${output_base}" "$@"
-	bazel --output_base="${output_base}" $@ || die
-}
-
-load_distfiles() {
-	# Populate the bazel distdir to fetch from since it cannot use the network
-	# Bazel looks in distdir but will only look for the original filename, not
-	# the possibly renamed one that portage downloaded. If the line has -> we
-	# need to rename it back, otherwise a simple copy is fine.
-
-	local src dst uri rename
-
-	while read uri rename dst; do
-		src="${uri##*/}"
-		[[ -z $src ]] && continue
-		if [[ "$rename" != "->" ]]; then
-			dst="${src}"
-		fi
-
-		[[ ${A} =~ ${dst} ]] || continue
-
-		if [[ "$dst" == "$src" ]]; then
-			einfo "Copying $dst to bazel distdir ..."
-		else
-			einfo "Copying $dst to bazel distdir $src ..."
-		fi
-		dst="$(readlink -f "${DISTDIR}/${dst}")"
-		ln -s "${dst}" "${T}/bazel-distdir/${src}" || die
-	done <<< "$(sed -re 's/!?[A-Za-z]+\?\s+\(\s*//g; s/\s+\)//g' <<< "${bazel_external_uris}")"
-}
-
-pkg_setup() {
-	check-reqs_pkg_setup
-}
-
-src_unpack() {
-	# Only unpack the main distfile
-	unpack "${P}.tar.gz"
-	unpack tensorflow-patches-${PVR}.tar.bz2
-}
-
-src_prepare() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	setup_bazelrc
-	load_distfiles
-
-	eapply "${WORKDIR}"/patches/*.patch
-
-	default
-	use python && python_copy_sources
-
-	use cuda && cuda_add_sandbox
-}
-
-src_configure() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	do_configure() {
-		export CC_OPT_FLAGS=" "
-		export TF_NEED_JEMALLOC=$(usex jemalloc 1 0)
-		export TF_NEED_GCP=0
-		export TF_NEED_HDFS=0
-		export TF_NEED_S3=0
-		export TF_NEED_AWS=0
-		export TF_NEED_KAFKA=0
-		export TF_ENABLE_XLA=0
-		export TF_NEED_GDR=0
-		export TF_NEED_VERBS=0
-		export TF_NEED_NGRAPH=0
-		export TF_NEED_OPENCL_SYCL=0
-		export TF_NEED_OPENCL=0
-		export TF_NEED_COMPUTECPP=0
-		export TF_NEED_MKL=0
-		export TF_NEED_MPI=$(usex mpi 1 0)
-		export TF_SET_ANDROID_WORKSPACE=0
-
-		if use python; then
-			python_export PYTHON_SITEDIR
-			export PYTHON_BIN_PATH="${PYTHON}"
-			export PYTHON_LIB_PATH="${PYTHON_SITEDIR}"
-		else
-			export PYTHON_BIN_PATH="$(which python)"
-			export PYTHON_LIB_PATH="$(python -c 'from distutils.sysconfig import *; print(get_python_lib())')"
-		fi
-
-		export TF_NEED_CUDA=$(usex cuda 1 0)
-		export TF_DOWNLOAD_CLANG=0
-		export TF_CUDA_CLANG=0
-		export TF_NEED_TENSORRT=0
-		if use cuda; then
-			export CUDA_TOOLKIT_PATH="${EPREFIX%/}/opt/cuda"
-			export CUDNN_INSTALL_PATH="${EPREFIX%/}/opt/cuda"
-			export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)"
-			export TF_NCCL_VERSION="1"
-			export TF_CUDA_VERSION="$(cuda_toolkit_version)"
-			export TF_CUDNN_VERSION="$(cuda_cudnn_version)"
-			einfo "Setting CUDA version: $TF_CUDA_VERSION"
-			einfo "Setting CUDNN version: $TF_CUDNN_VERSION"
-		fi
-
-		local SYSLIBS=(
-			astor_archive
-			com_googlesource_code_re2
-			curl
-			cython
-			flatbuffers
-			gif_archive
-			grpc
-			jemalloc
-			jpeg
-			jsoncpp_git
-			lmdb
-			nasm
-			nsync
-			org_sqlite
-			pcre
-			png_archive
-			six_archive
-			snappy
-			swig
-			termcolor_archive
-			zlib_archive
-		)
-		if use system-libs; then
-			SYSLIBS+=(
-				absl_py
-				astor_archive
-				boringssl
-				com_github_googleapis_googleapis
-				com_github_googlecloudplatform_google_cloud_cpp
-				com_google_protobuf
-				com_google_protobuf_cc
-				protobuf_archive
-				gast_archive
-			)
-		fi
-
-		export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
-
-		# Only one bazelrc is read, import our one before configure sets its options
-		echo "import ${T}/bazelrc" >> ./.bazelrc
-
-		# This is not autoconf
-		./configure || die
-	}
-	if use python; then
-		python_foreach_impl run_in_build_dir do_configure
-	else
-		do_configure
-	fi
-}
-
-src_compile() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	if use python; then
-		python_setup
-		local MULTIBUILD_VARIANT="${EPYTHON/./_}"
-		cd "${S}-${MULTIBUILD_VARIANT}" || die
-	fi
-
-	# fail early if anything is missing
-	ebazel build --nobuild \
-		//tensorflow:libtensorflow_framework.so \
-		//tensorflow:libtensorflow.so \
-		//tensorflow:libtensorflow_cc.so \
-		$(usex python '//tensorflow/tools/pip_package:build_pip_package' '')
-
-	ebazel build \
-		//tensorflow:libtensorflow_framework.so \
-		//tensorflow:libtensorflow.so
-	ebazel build //tensorflow:libtensorflow_cc.so
-
-	do_compile() {
-		ebazel build //tensorflow/tools/pip_package:build_pip_package
-	}
-	use python && python_foreach_impl run_in_build_dir do_compile
-}
-
-src_install() {
-	local i j
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	do_install() {
-		einfo "Installing ${EPYTHON} files"
-		local srcdir="${T}/src-${MULTIBUILD_VARIANT}"
-		mkdir -p "${srcdir}" || die
-		bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "${srcdir}" || die
-		cd "${srcdir}" || die
-		esetup.py install
-
-		# libtensorflow_framework.so is in /usr/lib already
-		python_export PYTHON_SITEDIR PYTHON_SCRIPTDIR
-		rm -f "${D}/${PYTHON_SITEDIR}/${PN}/lib${PN}_framework.so" || die
-		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/${n}"
-		done
-
-		python_setup
-		local MULTIBUILD_VARIANT="${EPYTHON/./_}"
-		cd "${S}-${MULTIBUILD_VARIANT}" || die
-	fi
-
-	einfo "Installing headers"
-	ebazel build //tensorflow:install_headers
-	insinto /usr/include/${PN}/
-	doins -r bazel-genfiles/tensorflow/include/*
-
-	einfo "Installing libs"
-	# Generate pkg-config file
-	${PN}/c/generate-pc.sh --prefix="${EPREFIX}"/usr --libdir=$(get_libdir) --version=${MY_PV} || die
-	insinto /usr/$(get_libdir)/pkgconfig
-	doins ${PN}.pc
-
-	dolib.so bazel-bin/tensorflow/lib${PN}_framework.so
-	dolib.so bazel-bin/tensorflow/lib${PN}.so
-	dolib.so bazel-bin/tensorflow/lib${PN}_cc.so
-
-	einstalldocs
-}
diff --git a/sci-libs/tensorflow/tensorflow-1.12.0.ebuild b/sci-libs/tensorflow/tensorflow-1.12.0.ebuild
deleted file mode 100644
index 425d69f52adb..000000000000
--- a/sci-libs/tensorflow/tensorflow-1.12.0.ebuild
+++ /dev/null
@@ -1,312 +0,0 @@
-# Copyright 1999-2018 Jason Zaman
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=7
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python2_7 python{3_5,3_6} )
-MY_PV=${PV/_rc/-rc}
-MY_P=${PN}-${MY_PV}
-
-inherit bazel check-reqs cuda distutils-r1 flag-o-matic toolchain-funcs
-
-DESCRIPTION="Computation framework using data flow graphs for scalable machine learning"
-HOMEPAGE="https://www.tensorflow.org/"
-
-LICENSE="Apache-2.0"
-SLOT="0"
-KEYWORDS="~amd64"
-IUSE="cuda mpi +python"
-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="
-	http://www.kurims.kyoto-u.ac.jp/~ooura/fft.tgz -> oourafft-20061228.tgz
-	https://bitbucket.org/eigen/eigen/get/fd6845384b86.tar.gz -> eigen-fd6845384b86.tar.gz
-	https://github.com/abseil/abseil-cpp/archive/48cd2c3f351ff188bc85684b84a91b6e6d17d896.tar.gz -> abseil-cpp-48cd2c3f351ff188bc85684b84a91b6e6d17d896.tar.gz
-	https://github.com/bazelbuild/rules_closure/archive/dbb96841cc0a5fb2664c37822803b06dab20c7d1.tar.gz -> bazelbuild-rules_closure-dbb96841cc0a5fb2664c37822803b06dab20c7d1.tar.gz
-	https://github.com/google/double-conversion/archive/3992066a95b823efc8ccc1baf82a1cfc73f6e9b8.zip -> double-conversion-3992066a95b823efc8ccc1baf82a1cfc73f6e9b8.zip
-	https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz -> farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
-	https://github.com/google/gemmlowp/archive/38ebac7b059e84692f53e5938f97a9943c120d98.zip -> gemmlowp-38ebac7b059e84692f53e5938f97a9943c120d98.zip
-	https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
-	cuda? (
-		https://github.com/nvidia/nccl/archive/03d856977ecbaac87e598c0c4bafca96761b9ac7.tar.gz -> nvidia-nccl-03d856977ecbaac87e598c0c4bafca96761b9ac7.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/0f77d9d182265259b135dad949230ecbf1a2633d.tar.gz -> ARM_NEON_2_x86_SSE-0f77d9d182265259b135dad949230ecbf1a2633d.tar.gz
-		https://mirror.bazel.build/docs.python.org/2.7/_sources/license.txt -> tensorflow-python-license.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 -> ${P}.tar.gz
-		https://dev.gentoo.org/~perfinion/patches/tensorflow-patches-${PV}.tar.bz2
-		${bazel_external_uris}"
-
-RDEPEND="
-	app-arch/snappy
-	dev-db/lmdb
-	dev-db/sqlite
-	dev-libs/icu
-	>=dev-libs/jsoncpp-1.8.4
-	dev-libs/libpcre
-	dev-libs/nsync
-	dev-libs/openssl:0
-	>=dev-libs/protobuf-3.6.0
-	>=dev-libs/re2-0.2018.04.01
-	media-libs/giflib
-	media-libs/libjpeg-turbo
-	media-libs/libpng:0
-	>=net-libs/grpc-1.16.0
-	net-misc/curl
-	sys-libs/zlib
-	cuda? (
-		>=dev-util/nvidia-cuda-toolkit-8.0[profiler]
-		>=dev-libs/cudnn-6.0
-	)
-	mpi? ( virtual/mpi )
-	python? (
-		${PYTHON_DEPS}
-		>=dev-libs/flatbuffers-1.8.0
-		dev-python/absl-py[${PYTHON_USEDEP}]
-		dev-python/astor[${PYTHON_USEDEP}]
-		dev-python/gast[${PYTHON_USEDEP}]
-		dev-python/numpy[${PYTHON_USEDEP}]
-		>=dev-python/protobuf-python-3.6.0[${PYTHON_USEDEP}]
-		dev-python/six[${PYTHON_USEDEP}]
-		dev-python/termcolor[${PYTHON_USEDEP}]
-		dev-python/grpcio[${PYTHON_USEDEP}]
-		net-libs/google-cloud-cpp
-		>=sci-libs/keras-applications-1.0.6[${PYTHON_USEDEP}]
-		>=sci-libs/keras-preprocessing-1.0.5[${PYTHON_USEDEP}]
-		>=sci-visualization/tensorboard-${PV}[${PYTHON_USEDEP}]
-		virtual/python-enum34[${PYTHON_USEDEP}]
-	)"
-DEPEND="${RDEPEND}
-	dev-python/mock"
-BDEPEND="
-	app-arch/unzip
-	>=dev-libs/protobuf-3.6.0
-	dev-java/java-config
-	dev-python/mock
-	dev-lang/swig
-	dev-python/cython
-	cuda? (
-		>=dev-util/nvidia-cuda-toolkit-8.0[profiler]
-	)
-	!python? ( dev-lang/python )
-	python? (
-		dev-python/grpcio-tools
-	)"
-REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
-
-S="${WORKDIR}/${MY_P}"
-
-DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
-CHECKREQS_MEMORY="5G"
-CHECKREQS_DISK_BUILD="5G"
-
-get-cpu-flags() {
-	local i f=()
-	# Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
-	for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
-		use cpu_flags_x86_${i} && f+=( -m${i/_/.} )
-	done
-	use cpu_flags_x86_fma3 && f+=( -mfma )
-	echo "${f[*]}"
-}
-
-pkg_setup() {
-	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
-
-	# for bazel-0.19.0
-	echo 'import %workspace%/tools/bazel.rc' >> .bazelrc || die
-
-	append-flags $(get-cpu-flags)
-	bazel_setup_bazelrc
-
-	eapply "${WORKDIR}"/patches/*.patch
-
-	default
-	use python && python_copy_sources
-
-	use cuda && cuda_add_sandbox
-}
-
-src_configure() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	do_configure() {
-		export CC_OPT_FLAGS=" "
-		export TF_ENABLE_XLA=0
-		export TF_NEED_OPENCL_SYCL=0
-		export TF_NEED_OPENCL=0
-		export TF_NEED_COMPUTECPP=0
-		export TF_NEED_ROCM=0
-		export TF_NEED_MPI=$(usex mpi 1 0)
-		export TF_SET_ANDROID_WORKSPACE=0
-
-		if use python; then
-			python_export PYTHON_SITEDIR
-			export PYTHON_BIN_PATH="${PYTHON}"
-			export PYTHON_LIB_PATH="${PYTHON_SITEDIR}"
-		else
-			export PYTHON_BIN_PATH="$(which python)"
-			export PYTHON_LIB_PATH="$(python -c 'from distutils.sysconfig import *; print(get_python_lib())')"
-		fi
-
-		export TF_NEED_CUDA=$(usex cuda 1 0)
-		export TF_DOWNLOAD_CLANG=0
-		export TF_CUDA_CLANG=0
-		export TF_NEED_TENSORRT=0
-		if use cuda; then
-			export CUDA_TOOLKIT_PATH="${EPREFIX%/}/opt/cuda"
-			export CUDNN_INSTALL_PATH="${EPREFIX%/}/opt/cuda"
-			export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)"
-			export TF_NCCL_VERSION="1"
-			export TF_CUDA_VERSION="$(cuda_toolkit_version)"
-			export TF_CUDNN_VERSION="$(cuda_cudnn_version)"
-			einfo "Setting CUDA version: $TF_CUDA_VERSION"
-			einfo "Setting CUDNN version: $TF_CUDNN_VERSION"
-		fi
-
-		local SYSLIBS=(
-			absl_py
-			astor_archive
-			boringssl
-			com_github_googleapis_googleapis
-			com_github_googlecloudplatform_google_cloud_cpp
-			com_google_protobuf
-			com_google_protobuf_cc
-			com_googlesource_code_re2
-			curl
-			cython
-			flatbuffers
-			gast_archive
-			gif_archive
-			grpc
-			icu
-			jpeg
-			jsoncpp_git
-			lmdb
-			nasm
-			nsync
-			org_sqlite
-			pcre
-			png_archive
-			protobuf_archive
-			six_archive
-			snappy
-			swig
-			termcolor_archive
-			zlib_archive
-		)
-
-		export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
-
-		# This is not autoconf
-		./configure || die
-
-		echo 'build --config=noaws --config=nohdfs --config=noignite --config=nokafka' >> .bazelrc || die
-	}
-	if use python; then
-		python_foreach_impl run_in_build_dir do_configure
-	else
-		do_configure
-	fi
-}
-
-src_compile() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	if use python; then
-		python_setup
-		BUILD_DIR="${S}-${EPYTHON/./_}"
-		cd "${BUILD_DIR}"
-	fi
-
-	# fail early if any deps are missing
-	ebazel build --nobuild \
-		//tensorflow:libtensorflow_framework.so \
-		//tensorflow:libtensorflow.so \
-		//tensorflow:libtensorflow_cc.so \
-		$(usex python '//tensorflow/tools/pip_package:build_pip_package' '')
-
-	ebazel build \
-		//tensorflow:libtensorflow_framework.so \
-		//tensorflow:libtensorflow.so
-	ebazel build //tensorflow:libtensorflow_cc.so
-
-	do_compile() {
-		ebazel build //tensorflow/tools/pip_package:build_pip_package
-	}
-	BUILD_DIR="${S}"
-	cd "${BUILD_DIR}"
-	use python && python_foreach_impl run_in_build_dir do_compile
-	ebazel shutdown
-}
-
-src_install() {
-	local i j
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	do_install() {
-		einfo "Installing ${EPYTHON} files"
-		local srcdir="${T}/src-${MULTIBUILD_VARIANT}"
-		mkdir -p "${srcdir}" || die
-		bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "${srcdir}" || die
-		cd "${srcdir}" || die
-		esetup.py install
-
-		# libtensorflow_framework.so is in /usr/lib already
-		python_export PYTHON_SITEDIR PYTHON_SCRIPTDIR
-		rm -f "${D}/${PYTHON_SITEDIR}/${PN}/lib${PN}_framework.so" || die
-		python_optimize
-	}
-
-	if use python; then
-		python_foreach_impl run_in_build_dir do_install
-
-		# Symlink to python-exec scripts
-		for i in "${ED}"/usr/lib/python-exec/*/*; do
-			n="${i##*/}"
-			[[ -e "${ED}/usr/bin/${n}" ]] || dosym ../lib/python-exec/python-exec2 "/usr/bin/${n}"
-		done
-
-		python_setup
-		local BUILD_DIR="${S}-${EPYTHON/./_}"
-		cd "${BUILD_DIR}" || die
-	fi
-
-	einfo "Installing headers"
-	ebazel build //tensorflow:install_headers
-	ebazel shutdown
-	insinto /usr/include/${PN}/
-	doins -r bazel-genfiles/tensorflow/include/*
-
-	einfo "Installing libs"
-	# Generate pkg-config file
-	${PN}/c/generate-pc.sh --prefix="${EPREFIX}"/usr --libdir=$(get_libdir) --version=${MY_PV} || die
-	insinto /usr/$(get_libdir)/pkgconfig
-	doins ${PN}.pc
-
-	dolib.so bazel-bin/tensorflow/lib${PN}_framework.so
-	dolib.so bazel-bin/tensorflow/lib${PN}.so
-	dolib.so bazel-bin/tensorflow/lib${PN}_cc.so
-
-	einstalldocs
-}
diff --git a/sci-libs/tensorflow/tensorflow-1.13.0_rc0.ebuild b/sci-libs/tensorflow/tensorflow-1.13.0_rc0.ebuild
deleted file mode 100644
index 580a80f6a9c2..000000000000
--- a/sci-libs/tensorflow/tensorflow-1.13.0_rc0.ebuild
+++ /dev/null
@@ -1,312 +0,0 @@
-# Copyright 1999-2019 Jason Zaman
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=7
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python2_7 python{3_5,3_6} )
-MY_PV=${PV/_rc/-rc}
-MY_P=${PN}-${MY_PV}
-
-inherit bazel check-reqs cuda distutils-r1 flag-o-matic toolchain-funcs
-
-DESCRIPTION="Computation framework using data flow graphs for scalable machine learning"
-HOMEPAGE="https://www.tensorflow.org/"
-
-LICENSE="Apache-2.0"
-SLOT="0"
-KEYWORDS="~amd64"
-IUSE="cuda mpi +python"
-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="
-	http://www.kurims.kyoto-u.ac.jp/~ooura/fft.tgz -> oourafft-20061228.tgz
-	https://bitbucket.org/eigen/eigen/get/9f48e814419e.tar.gz -> eigen-9f48e814419e.tar.gz
-	https://github.com/abseil/abseil-cpp/archive/389ec3f906f018661a5308458d623d01f96d7b23.tar.gz -> abseil-cpp-389ec3f906f018661a5308458d623d01f96d7b23.tar.gz
-	https://github.com/bazelbuild/rules_closure/archive/dbb96841cc0a5fb2664c37822803b06dab20c7d1.tar.gz -> bazelbuild-rules_closure-dbb96841cc0a5fb2664c37822803b06dab20c7d1.tar.gz
-	https://github.com/bazelbuild/rules_docker/archive/a9bb1dab84cdf46e34d1b34b53a17bda129b5eba.tar.gz -> rules_docker-a9bb1dab84cdf46e34d1b34b53a17bda129b5eba.tar.gz
-	https://github.com/google/double-conversion/archive/3992066a95b823efc8ccc1baf82a1cfc73f6e9b8.zip -> double-conversion-3992066a95b823efc8ccc1baf82a1cfc73f6e9b8.zip
-	https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz -> farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
-	https://github.com/google/gemmlowp/archive/38ebac7b059e84692f53e5938f97a9943c120d98.zip -> gemmlowp-38ebac7b059e84692f53e5938f97a9943c120d98.zip
-	https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
-	https://github.com/nlopezgi/bazel-toolchains/archive/3f8c58fe530fedc446de04673bc1e32985887dea.tar.gz -> bazel-toolchains-3f8c58fe530fedc446de04673bc1e32985887dea.tar.gz
-	cuda? (
-		https://github.com/nvidia/nccl/archive/f93fe9bfd94884cec2ba711897222e0df5569a53.tar.gz -> nvidia-nccl-f93fe9bfd94884cec2ba711897222e0df5569a53.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://mirror.bazel.build/docs.python.org/2.7/_sources/license.rst.txt -> tensorflow-python-license.rst.txt
-		https://pypi.python.org/packages/bc/cc/3cdb0a02e7e96f6c70bd971bc8a90b8463fda83e264fa9c5c1c98ceabd81/backports.weakref-1.0rc1.tar.gz
-	)"
-
-#https://dev.gentoo.org/~perfinion/patches/tensorflow-patches-${PV}.tar.bz2
-SRC_URI="https://github.com/${PN}/${PN}/archive/v${MY_PV}.tar.gz -> ${P}.tar.gz
-		${bazel_external_uris}"
-
-RDEPEND="
-	app-arch/snappy
-	dev-db/lmdb
-	dev-db/sqlite
-	dev-libs/icu
-	>=dev-libs/jsoncpp-1.8.4
-	dev-libs/libpcre
-	dev-libs/nsync
-	dev-libs/openssl:0
-	>=dev-libs/protobuf-3.6.0
-	>=dev-libs/re2-0.2018.04.01
-	media-libs/giflib
-	media-libs/libjpeg-turbo
-	media-libs/libpng:0
-	>=net-libs/grpc-1.16.0
-	net-misc/curl
-	sys-libs/zlib
-	cuda? (
-		>=dev-util/nvidia-cuda-toolkit-8.0[profiler]
-		>=dev-libs/cudnn-6.0
-	)
-	mpi? ( virtual/mpi )
-	python? (
-		${PYTHON_DEPS}
-		>=dev-libs/flatbuffers-1.8.0
-		dev-python/absl-py[${PYTHON_USEDEP}]
-		dev-python/astor[${PYTHON_USEDEP}]
-		dev-python/gast[${PYTHON_USEDEP}]
-		dev-python/numpy[${PYTHON_USEDEP}]
-		>=dev-python/protobuf-python-3.6.0[${PYTHON_USEDEP}]
-		dev-python/six[${PYTHON_USEDEP}]
-		dev-python/termcolor[${PYTHON_USEDEP}]
-		dev-python/grpcio[${PYTHON_USEDEP}]
-		net-libs/google-cloud-cpp
-		>=sci-libs/keras-applications-1.0.6[${PYTHON_USEDEP}]
-		>=sci-libs/keras-preprocessing-1.0.5[${PYTHON_USEDEP}]
-		>=sci-visualization/tensorboard-1.12.0[${PYTHON_USEDEP}]
-		virtual/python-enum34[${PYTHON_USEDEP}]
-	)"
-DEPEND="${RDEPEND}
-	dev-python/mock"
-BDEPEND="
-	app-arch/unzip
-	>=dev-libs/protobuf-3.6.0
-	dev-java/java-config
-	dev-python/mock
-	dev-lang/swig
-	dev-python/cython
-	cuda? (
-		>=dev-util/nvidia-cuda-toolkit-8.0[profiler]
-	)
-	!python? ( dev-lang/python )
-	python? (
-		dev-python/grpcio-tools
-	)"
-REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
-
-S="${WORKDIR}/${MY_P}"
-
-DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
-CHECKREQS_MEMORY="5G"
-CHECKREQS_DISK_BUILD="5G"
-
-get-cpu-flags() {
-	local i f=()
-	# Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
-	for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
-		use cpu_flags_x86_${i} && f+=( -m${i/_/.} )
-	done
-	use cpu_flags_x86_fma3 && f+=( -mfma )
-	echo "${f[*]}"
-}
-
-pkg_setup() {
-	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
-
-	default
-	use python && python_copy_sources
-
-	use cuda && cuda_add_sandbox
-}
-
-src_configure() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	do_configure() {
-		export CC_OPT_FLAGS=" "
-		export TF_ENABLE_XLA=0
-		export TF_NEED_OPENCL_SYCL=0
-		export TF_NEED_OPENCL=0
-		export TF_NEED_COMPUTECPP=0
-		export TF_NEED_ROCM=0
-		export TF_NEED_MPI=$(usex mpi 1 0)
-		export TF_SET_ANDROID_WORKSPACE=0
-
-		if use python; then
-			python_export PYTHON_SITEDIR
-			export PYTHON_BIN_PATH="${PYTHON}"
-			export PYTHON_LIB_PATH="${PYTHON_SITEDIR}"
-		else
-			export PYTHON_BIN_PATH="$(which python)"
-			export PYTHON_LIB_PATH="$(python -c 'from distutils.sysconfig import *; print(get_python_lib())')"
-		fi
-
-		export TF_NEED_CUDA=$(usex cuda 1 0)
-		export TF_DOWNLOAD_CLANG=0
-		export TF_CUDA_CLANG=0
-		export TF_NEED_TENSORRT=0
-		if use cuda; then
-			export CUDA_TOOLKIT_PATH="${EPREFIX%/}/opt/cuda"
-			export CUDNN_INSTALL_PATH="${EPREFIX%/}/opt/cuda"
-			export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)"
-			export TF_NCCL_VERSION="1"
-			export TF_CUDA_VERSION="$(cuda_toolkit_version)"
-			export TF_CUDNN_VERSION="$(cuda_cudnn_version)"
-			einfo "Setting CUDA version: $TF_CUDA_VERSION"
-			einfo "Setting CUDNN version: $TF_CUDNN_VERSION"
-		fi
-
-		local SYSLIBS=(
-			absl_py
-			astor_archive
-			boringssl
-			com_github_googleapis_googleapis
-			com_github_googlecloudplatform_google_cloud_cpp
-			com_google_protobuf
-			com_google_protobuf_cc
-			com_googlesource_code_re2
-			curl
-			cython
-			flatbuffers
-			gast_archive
-			gif_archive
-			grpc
-			icu
-			jpeg
-			jsoncpp_git
-			keras_applications_archive
-			lmdb
-			nasm
-			nsync
-			org_sqlite
-			pcre
-			png_archive
-			protobuf_archive
-			six_archive
-			snappy
-			swig
-			termcolor_archive
-			zlib_archive
-		)
-
-		export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
-
-		# This is not autoconf
-		./configure || die
-
-		echo 'build --config=noaws --config=nohdfs --config=noignite --config=nokafka' >> .bazelrc || die
-	}
-	if use python; then
-		python_foreach_impl run_in_build_dir do_configure
-	else
-		do_configure
-	fi
-}
-
-src_compile() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	if use python; then
-		python_setup
-		BUILD_DIR="${S}-${EPYTHON/./_}"
-		cd "${BUILD_DIR}"
-	fi
-
-	# fail early if any deps are missing
-	ebazel build --nobuild \
-		//tensorflow:libtensorflow_framework.so \
-		//tensorflow:libtensorflow.so \
-		//tensorflow:libtensorflow_cc.so \
-		$(usex python '//tensorflow/tools/pip_package:build_pip_package' '')
-
-	ebazel build \
-		//tensorflow:libtensorflow_framework.so \
-		//tensorflow:libtensorflow.so
-	ebazel build //tensorflow:libtensorflow_cc.so
-
-	do_compile() {
-		ebazel build //tensorflow/tools/pip_package:build_pip_package
-	}
-	BUILD_DIR="${S}"
-	cd "${BUILD_DIR}"
-	use python && python_foreach_impl run_in_build_dir do_compile
-	ebazel shutdown
-}
-
-src_install() {
-	local i j
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	do_install() {
-		einfo "Installing ${EPYTHON} files"
-		local srcdir="${T}/src-${MULTIBUILD_VARIANT}"
-		mkdir -p "${srcdir}" || die
-		bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "${srcdir}" || die
-		cd "${srcdir}" || die
-		esetup.py install
-
-		# libtensorflow_framework.so is in /usr/lib already
-		python_export PYTHON_SITEDIR PYTHON_SCRIPTDIR
-		rm -f "${D}/${PYTHON_SITEDIR}/${PN}/lib${PN}_framework.so" || die
-		python_optimize
-	}
-
-	if use python; then
-		python_foreach_impl run_in_build_dir do_install
-
-		# Symlink to python-exec scripts
-		for i in "${ED}"/usr/lib/python-exec/*/*; do
-			n="${i##*/}"
-			[[ -e "${ED}/usr/bin/${n}" ]] || dosym ../lib/python-exec/python-exec2 "/usr/bin/${n}"
-		done
-
-		python_setup
-		local BUILD_DIR="${S}-${EPYTHON/./_}"
-		cd "${BUILD_DIR}" || die
-	fi
-
-	einfo "Installing headers"
-	ebazel build //tensorflow:install_headers
-	ebazel shutdown
-	insinto /usr/include/${PN}/
-	doins -r bazel-genfiles/tensorflow/include/*
-
-	einfo "Installing libs"
-	# Generate pkg-config file
-	${PN}/c/generate-pc.sh --prefix="${EPREFIX}"/usr --libdir=$(get_libdir) --version=${MY_PV} || die
-	insinto /usr/$(get_libdir)/pkgconfig
-	doins ${PN}.pc
-
-	dolib.so bazel-bin/tensorflow/lib${PN}_framework.so
-	dolib.so bazel-bin/tensorflow/lib${PN}.so
-	dolib.so bazel-bin/tensorflow/lib${PN}_cc.so
-
-	einstalldocs
-}
diff --git a/sci-libs/tensorflow/tensorflow-1.13.0_rc2.ebuild b/sci-libs/tensorflow/tensorflow-1.13.0_rc2.ebuild
deleted file mode 100644
index 2cc7e2078046..000000000000
--- a/sci-libs/tensorflow/tensorflow-1.13.0_rc2.ebuild
+++ /dev/null
@@ -1,311 +0,0 @@
-# Copyright 1999-2019 Jason Zaman
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=7
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python2_7 python{3_5,3_6} )
-MY_PV=${PV/_rc/-rc}
-MY_P=${PN}-${MY_PV}
-
-inherit bazel check-reqs cuda distutils-r1 flag-o-matic toolchain-funcs
-
-DESCRIPTION="Computation framework using data flow graphs for scalable machine learning"
-HOMEPAGE="https://www.tensorflow.org/"
-
-LICENSE="Apache-2.0"
-SLOT="0"
-KEYWORDS="~amd64"
-IUSE="cuda mpi +python"
-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="
-	http://www.kurims.kyoto-u.ac.jp/~ooura/fft.tgz -> oourafft-20061228.tgz
-	https://bitbucket.org/eigen/eigen/get/9f48e814419e.tar.gz -> eigen-9f48e814419e.tar.gz
-	https://github.com/abseil/abseil-cpp/archive/389ec3f906f018661a5308458d623d01f96d7b23.tar.gz -> abseil-cpp-389ec3f906f018661a5308458d623d01f96d7b23.tar.gz
-	https://github.com/bazelbuild/rules_closure/archive/dbb96841cc0a5fb2664c37822803b06dab20c7d1.tar.gz -> bazelbuild-rules_closure-dbb96841cc0a5fb2664c37822803b06dab20c7d1.tar.gz
-	https://github.com/bazelbuild/rules_docker/archive/a9bb1dab84cdf46e34d1b34b53a17bda129b5eba.tar.gz -> rules_docker-a9bb1dab84cdf46e34d1b34b53a17bda129b5eba.tar.gz
-	https://github.com/google/double-conversion/archive/3992066a95b823efc8ccc1baf82a1cfc73f6e9b8.zip -> double-conversion-3992066a95b823efc8ccc1baf82a1cfc73f6e9b8.zip
-	https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz -> farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
-	https://github.com/google/gemmlowp/archive/38ebac7b059e84692f53e5938f97a9943c120d98.zip -> gemmlowp-38ebac7b059e84692f53e5938f97a9943c120d98.zip
-	https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
-	https://github.com/nlopezgi/bazel-toolchains/archive/3f8c58fe530fedc446de04673bc1e32985887dea.tar.gz -> bazel-toolchains-3f8c58fe530fedc446de04673bc1e32985887dea.tar.gz
-	cuda? (
-		https://github.com/nvidia/nccl/archive/f93fe9bfd94884cec2ba711897222e0df5569a53.tar.gz -> nvidia-nccl-f93fe9bfd94884cec2ba711897222e0df5569a53.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://mirror.bazel.build/docs.python.org/2.7/_sources/license.rst.txt -> tensorflow-python-license.rst.txt
-		https://pypi.python.org/packages/bc/cc/3cdb0a02e7e96f6c70bd971bc8a90b8463fda83e264fa9c5c1c98ceabd81/backports.weakref-1.0rc1.tar.gz
-	)"
-
-SRC_URI="https://github.com/${PN}/${PN}/archive/v${MY_PV}.tar.gz -> ${P}.tar.gz
-		${bazel_external_uris}"
-
-RDEPEND="
-	app-arch/snappy
-	dev-db/lmdb
-	dev-db/sqlite
-	dev-libs/icu
-	>=dev-libs/jsoncpp-1.8.4
-	dev-libs/libpcre
-	dev-libs/nsync
-	dev-libs/openssl:0=
-	>=dev-libs/protobuf-3.6.0
-	>=dev-libs/re2-0.2018.04.01
-	media-libs/giflib
-	media-libs/libjpeg-turbo
-	media-libs/libpng:0
-	>=net-libs/grpc-1.16.0
-	net-misc/curl
-	sys-libs/zlib
-	cuda? (
-		>=dev-util/nvidia-cuda-toolkit-8.0[profiler]
-		>=dev-libs/cudnn-6.0
-	)
-	mpi? ( virtual/mpi )
-	python? (
-		${PYTHON_DEPS}
-		>=dev-libs/flatbuffers-1.8.0
-		dev-python/absl-py[${PYTHON_USEDEP}]
-		>=dev-python/astor-0.7.1[${PYTHON_USEDEP}]
-		dev-python/gast[${PYTHON_USEDEP}]
-		dev-python/numpy[${PYTHON_USEDEP}]
-		dev-python/google-pasta[${PYTHON_USEDEP}]
-		>=dev-python/protobuf-python-3.6.0[${PYTHON_USEDEP}]
-		dev-python/six[${PYTHON_USEDEP}]
-		dev-python/termcolor[${PYTHON_USEDEP}]
-		dev-python/grpcio[${PYTHON_USEDEP}]
-		net-libs/google-cloud-cpp
-		>=sci-libs/keras-applications-1.0.6[${PYTHON_USEDEP}]
-		>=sci-libs/keras-preprocessing-1.0.5[${PYTHON_USEDEP}]
-		>=sci-libs/tensorflow-estimator-1.13.0_rc0[${PYTHON_USEDEP}]
-		>=sci-visualization/tensorboard-1.12.0[${PYTHON_USEDEP}]
-		virtual/python-enum34[${PYTHON_USEDEP}]
-	)"
-DEPEND="${RDEPEND}
-	dev-python/mock"
-BDEPEND="
-	app-arch/unzip
-	>=dev-libs/protobuf-3.6.0
-	dev-java/java-config
-	dev-python/mock
-	dev-lang/swig
-	dev-python/cython
-	cuda? (
-		>=dev-util/nvidia-cuda-toolkit-8.0[profiler]
-	)
-	!python? ( dev-lang/python )
-	python? (
-		dev-python/grpcio-tools
-	)"
-REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
-
-S="${WORKDIR}/${MY_P}"
-
-DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
-CHECKREQS_MEMORY="5G"
-CHECKREQS_DISK_BUILD="5G"
-
-get-cpu-flags() {
-	local i f=()
-	# Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
-	for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
-		use cpu_flags_x86_${i} && f+=( -m${i/_/.} )
-	done
-	use cpu_flags_x86_fma3 && f+=( -mfma )
-	echo "${f[*]}"
-}
-
-pkg_setup() {
-	check-reqs_pkg_setup
-}
-
-src_unpack() {
-	# Only unpack the main distfile
-	unpack "${P}.tar.gz"
-	bazel_load_distfiles "${bazel_external_uris}"
-}
-
-src_prepare() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	append-flags $(get-cpu-flags)
-	bazel_setup_bazelrc
-
-	default
-	use python && python_copy_sources
-
-	use cuda && cuda_add_sandbox
-}
-
-src_configure() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	do_configure() {
-		export CC_OPT_FLAGS=" "
-		export TF_ENABLE_XLA=0
-		export TF_NEED_OPENCL_SYCL=0
-		export TF_NEED_OPENCL=0
-		export TF_NEED_COMPUTECPP=0
-		export TF_NEED_ROCM=0
-		export TF_NEED_MPI=$(usex mpi 1 0)
-		export TF_SET_ANDROID_WORKSPACE=0
-
-		if use python; then
-			python_export PYTHON_SITEDIR
-			export PYTHON_BIN_PATH="${PYTHON}"
-			export PYTHON_LIB_PATH="${PYTHON_SITEDIR}"
-		else
-			export PYTHON_BIN_PATH="$(which python)"
-			export PYTHON_LIB_PATH="$(python -c 'from distutils.sysconfig import *; print(get_python_lib())')"
-		fi
-
-		export TF_NEED_CUDA=$(usex cuda 1 0)
-		export TF_DOWNLOAD_CLANG=0
-		export TF_CUDA_CLANG=0
-		export TF_NEED_TENSORRT=0
-		if use cuda; then
-			export CUDA_TOOLKIT_PATH="${EPREFIX%/}/opt/cuda"
-			export CUDNN_INSTALL_PATH="${EPREFIX%/}/opt/cuda"
-			export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)"
-			export TF_NCCL_VERSION="1"
-			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: $TF_CUDNN_VERSION"
-		fi
-
-		local SYSLIBS=(
-			absl_py
-			astor_archive
-			boringssl
-			com_github_googleapis_googleapis
-			com_github_googlecloudplatform_google_cloud_cpp
-			com_google_protobuf
-			com_google_protobuf_cc
-			com_googlesource_code_re2
-			curl
-			cython
-			flatbuffers
-			gast_archive
-			gif_archive
-			grpc
-			icu
-			jpeg
-			jsoncpp_git
-			keras_applications_archive
-			lmdb
-			nasm
-			nsync
-			org_sqlite
-			pcre
-			png_archive
-			protobuf_archive
-			six_archive
-			snappy
-			swig
-			termcolor_archive
-			zlib_archive
-		)
-
-		export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
-		export TF_IGNORE_MAX_BAZEL_VERSION=1
-
-		# This is not autoconf
-		./configure || die
-
-		echo 'build --config=noaws --config=nohdfs --config=noignite --config=nokafka' >> .bazelrc || die
-	}
-	if use python; then
-		python_foreach_impl run_in_build_dir do_configure
-	else
-		do_configure
-	fi
-}
-
-src_compile() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	if use python; then
-		python_setup
-		BUILD_DIR="${S}-${EPYTHON/./_}"
-		cd "${BUILD_DIR}"
-	fi
-
-	# fail early if any deps are missing
-	ebazel build --nobuild \
-		//tensorflow:libtensorflow_framework.so \
-		//tensorflow:libtensorflow.so \
-		//tensorflow:libtensorflow_cc.so \
-		$(usex python '//tensorflow/tools/pip_package:build_pip_package' '')
-
-	ebazel build \
-		//tensorflow:libtensorflow_framework.so \
-		//tensorflow:libtensorflow.so
-	ebazel build //tensorflow:libtensorflow_cc.so
-
-	do_compile() {
-		ebazel build //tensorflow/tools/pip_package:build_pip_package
-	}
-	BUILD_DIR="${S}"
-	cd "${BUILD_DIR}"
-	use python && python_foreach_impl run_in_build_dir do_compile
-	ebazel shutdown
-}
-
-src_install() {
-	local i j
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	do_install() {
-		einfo "Installing ${EPYTHON} files"
-		local srcdir="${T}/src-${MULTIBUILD_VARIANT}"
-		mkdir -p "${srcdir}" || die
-		bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "${srcdir}" || die
-		cd "${srcdir}" || die
-		esetup.py install
-
-		# libtensorflow_framework.so is in /usr/lib already
-		python_export PYTHON_SITEDIR PYTHON_SCRIPTDIR
-		rm -f "${D}/${PYTHON_SITEDIR}/${PN}/lib${PN}_framework.so" || die
-		python_optimize
-	}
-
-	if use python; then
-		python_foreach_impl run_in_build_dir do_install
-
-		# Symlink to python-exec scripts
-		for i in "${ED}"/usr/lib/python-exec/*/*; do
-			n="${i##*/}"
-			[[ -e "${ED}/usr/bin/${n}" ]] || dosym ../lib/python-exec/python-exec2 "/usr/bin/${n}"
-		done
-
-		python_setup
-		local BUILD_DIR="${S}-${EPYTHON/./_}"
-		cd "${BUILD_DIR}" || die
-	fi
-
-	einfo "Installing headers"
-	ebazel build //tensorflow:install_headers
-	ebazel shutdown
-	insinto /usr/include/${PN}/
-	doins -r bazel-genfiles/tensorflow/include/*
-
-	einfo "Installing libs"
-	# Generate pkg-config file
-	${PN}/c/generate-pc.sh --prefix="${EPREFIX}"/usr --libdir=$(get_libdir) --version=${MY_PV} || die
-	insinto /usr/$(get_libdir)/pkgconfig
-	doins ${PN}.pc
-
-	dolib.so bazel-bin/tensorflow/lib${PN}_framework.so
-	dolib.so bazel-bin/tensorflow/lib${PN}.so
-	dolib.so bazel-bin/tensorflow/lib${PN}_cc.so
-
-	einstalldocs
-}