summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
Diffstat (limited to 'sci-libs/tensorflow')
-rw-r--r--sci-libs/tensorflow/Manifest20
-rw-r--r--sci-libs/tensorflow/tensorflow-2.1.0.ebuild366
-rw-r--r--sci-libs/tensorflow/tensorflow-2.2.0-r1.ebuild379
-rw-r--r--sci-libs/tensorflow/tensorflow-2.2.0-r2.ebuild382
-rw-r--r--sci-libs/tensorflow/tensorflow-2.3.1.ebuild405
5 files changed, 0 insertions, 1552 deletions
diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest
index 4b1dec94684f..91314ce8e9a0 100644
--- a/sci-libs/tensorflow/Manifest
+++ b/sci-libs/tensorflow/Manifest
@@ -1,47 +1,32 @@
DIST ARM_NEON_2_x86_SSE-1200fe90bb174a6224a525ee60148671a786a71f.tar.gz 100612 BLAKE2B 84f81072d3298dde613b4c1ebabf852c67e04b5882a4ca0ed6f218b42e8fa3ea9598140b0c0009e8d6b62d08902622a6d57ee005ec3ad8a808c9fb21aa53430c SHA512 03a289d8099a5c4a5298cba8f516d2edb41220935d8db750970113ca7513372c78241c2c948d0ffcd60e84686e50ba1d7fd0b46efea6881dd320435eca92a7b9
DIST OouraFFT-v1.0.tar.gz 110531 BLAKE2B de0e280407e21118e2bc6ca93a7caf3c4a49d0a13eda018b1497f98851af73dda4cef56460dba310336c7ed958e34feef4784ca2575a13287dec2c1ac9a5af6d SHA512 89c6e8fd57abf26351b3efb792008a1bbe62d404a4225dcae8aa666b3782a421be071bdc9760ebb0c95b5336ee5ea517d2fa43ab915045f7cf6fd76e73578079
-DIST abseil-cpp-43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz 1281523 BLAKE2B 955802c74ed9baf222dcd824d2940147ae89edbc88f12bb8f54839776fe18bb18c0fde23b0d3142bb3be65a57930c96d03fdd243e8da07435eeb04329c31483d SHA512 c2ae1bd789251ec70cd0baafd92521e48fb1648aee8d9d84a8269436300848b6a9d7aead6bef8a12d3a9040f19535ac725ae961f12566500d309bc13dfee26a4
DIST abseil-cpp-df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz 1679879 BLAKE2B ce92197c564ff774db46027c32f97cfd55ff1d77b7cec5424e127d10a3b0a54d9e84537bd643c4eb330ca81959bcc0316b13c013b229df06b7f415864c451e46 SHA512 b429758c37749d3d5c5c220fe0dc00fa0e193b406545484095339b25674c4a3bb7850b76dd1a370ed2006729bcbbbb1b438995b614e149c2290bdb10038c49d1
DIST backports.weakref-1.0rc1.tar.gz 7761 BLAKE2B 4cb2554a4b71bb1f8c41a790268511e4b382effc7e0328f74346d086de539a177111de9e2dabac19a44b2a1cdbf59a7425e30eee4caa4bfe66b0ca97f1f460a9 SHA512 f37e9eb0d9060d2e1588a941f623460bd4477d7e180b38b5cd46d9c1db1ee094ae63e4f5eeeb422823bf3d067f46c4124cb124a9e4ddb795bc0bfbc4802ab826
-DIST bazel-skylib.0.8.0.tar.gz 72941 BLAKE2B 1928989d3e5dc338fee974c5592a524adb492db172b1d2a849ed5f14f91dbb76606335d369e4b15c4eec41adfe3a23cdc5b4f3b2f1351a5e9c25103c002b96a2 SHA512 4729941cedca8ddb876a621b28221d3c17dbb5dd72af27e55f48274208f21db986c5e7cb8adb742c42124bfa8073eb782b49e2557cb3f3f95ca56833fef925c0
DIST bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz 660374 BLAKE2B 549292aa3ad8a6e01c29391a123f3cbc84d1f714ff9c68bfc6c8df07fa0ba3b19c22e61627f227a8a484f6d7d6c59935fd7560c447559ff5e774ddf1437eefe1 SHA512 83531a2646a9f63557eff6fefaf551ee7e9f0ccdb31374d7a17c35b9f9d844b9b405597972fcd31b2b68e9da312511bbfd9c8fbb75222f5924e1d2500cd1c2a6
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-apple_support.0.7.1.tar.gz 20070 BLAKE2B e72098fc5017e3371b6af0f33f392a42da18376052f30db5dd602c5ccc0176c1ac8002cca3f598845c5cb33406b4fd8d30c5ea47c69add6c530b75dc6566a4b0 SHA512 bbab25c229404123d7d424fa261480cf887c749ae729cc1a00bd6c2554d4b4b3fa81e0eaa670542b3a5d3301f3bd5dcd7727d011ba854f13dbbf4f65895e4b08
DIST bazelbuild-rules_android-v0.1.1.zip 14654 BLAKE2B 1cfd5af08c6eab9602883f62d85ef1b9eb02383f73dcc31ae84af880c9ba228ae349ac6b017c550286e248347193e2c56eba30c86174432429809447dd940ed2 SHA512 80628a5e2ca9806ab031cd0c2f2999bd67f5621a83e8300a51fe6233373bdaf7c90ff8fa9551c81e60fc904c4d7b24554327ac8ed2ee101e92c4ab9319c53f4a
DIST bazelbuild-rules_apple-5131f3d46794bf227d296c82f30c2499c9de3c5b.tar.gz 1951045 BLAKE2B d8c17f301de729bbf5254acacf89490ab1034b1180d5ea788251ae6ba3e2b704c82d7f66d33a086f52ce3909cd33df7739d7d536c6be070a2d3454e2f280517f SHA512 a23826d8e53d49de6347eca052e980878d50b431bf02c9b8333234c0659d5e290447121bf9519729639891e67d732474a3c3b7a7502752b32f830680bb334bad
-DIST bazelbuild-rules_apple.0.18.0.tar.gz 1333446 BLAKE2B c7667e05c236f4de44573707c795d31c980242a2ea6eb69261403e7b1b7cc852d899c9b76cba347df1b1006542f9d532d78586a3bf5f831d37f8f0c0cd79a8eb SHA512 209b21856642b03dc7d54c0c82826224167df7da4c6dda3d29490e0661cdfe35ad9abe763288e0ff80af4d681a361efb22e0ca45ead6fb96fd38f211bcb4435d
DIST bazelbuild-rules_cc-01d4a48911d5e7591ecb1c06d3b8af47fe872371.zip 171775 BLAKE2B ec0ece4555d779bc8380937baac517a8adf3b0176c4bfb1324943a91366ad9688f528a4bd69e4587bcc4ad427c71a53016a3e2d32a050d9d4ec99caac4967a8e SHA512 5c5e82f276c1c962fbd9c7ddf21df9aa4291f3285f3fa07cd2c2790475ccba670b0627fc3d6faedd1508eca4d80bdae64a31383f001f04f3031112be81c3e697
-DIST bazelbuild-rules_cc-0d5f3f2768c6ca2faca0079a997a97ce22997a0c.zip 72534 BLAKE2B 0bbcc2b3fefb8df84d9f72b13da59c377fcd657ead378f85f80a587f8750302236212ae5c58819933015e62425126bead0733d2924a567fb9c5cb14fb75271a8 SHA512 1818c555504ba89afff88d75fe8b4e1386b3665a3ad477c26b4e9504c8f52f398b6aaedbad41a4ab8b8d9b3f86e0992e7c83a6da70241685d7b79ba177af1035
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
DIST bazelbuild-rules_java-7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip 9422 BLAKE2B bbc45c97551ee8126335b611ffca6574dac843d4db9b3221b10d26487f8eecfe38ba0cd67a4039a3ad921c25fea6294c43e4f4e7a57a060a30791acd6c4f9d39 SHA512 ba06242feb711e7fb6e821fd9ac029248b4f3e466fb1acf971d0db8196f3efe4d114ef137acbe4913073f8cbe8ccab4d47d8bafa21b867b2d6a6d57f5a647f0c
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
-DIST bazelbuild-rules_swift.0.12.1.tar.gz 111674 BLAKE2B 7c116d6098aa0725034dce4c83628c31c85c36a6331b44636deb2efe0f689a5baee8081b33d65e3727a83bca865bcabedd6f8fa1fdb60e901a9b60840c52c018 SHA512 6136feb3dc0074f82500000cf5335f046f21ea3a1edcb4dcb22228c82b56ed6a334e4b03e4e26a4d25549581abcf7df22b60a2bccf823a51bf270051fe18d489
DIST cub-1.8.0.zip 602396 BLAKE2B a5e302a52e04f85ae8e1836c59e799532a8b961a8d10c08fe1241c9045f88e31f1ebda6d26124b85c6df40968e1c7b3985a39961bf7614535aafcab2da1a576a SHA512 6167c5be94989f88e05a07508cf69cf2c6b22a5ac733804043daa46bd86a44a15a758b1ffb811bab28b82039d027516ed85b3d9f7677a740a7e00ec9c2f81aed
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 eigen-4e696901f873a2347f76d931cf2f701e31e15d05.tar.gz 2580537 BLAKE2B 927897c80f3529da40a76ddde26113403926d730fa4539aa9e4121406e8d3852abcfdbc55d178723300e9daa26176f6170db06bb49a59cb190e8c7e6dfdea4dd SHA512 d5461e615044aa94b6ac9ab2815536f4bdf2b9ccfeb578cc7bc62554ba928b4192450f72f1350f3231ed44d2bb90e95218de9a5d0bcee9ec02867499a6dc5db0
-DIST eigen-52a2fbbb008a47c5e3fb8ac1c65c2feecb0c511c.tar.gz 2585583 BLAKE2B a2ce9da5f962f891cba748f46ce43667ae2b7fef54d4cc83411eafbc24b331e586c44fb135a2c3597c77fe62b0c8ff1172ae5ce6876f00ddd6f6ef2eca802d9c SHA512 65a73d26474547db83b9b40a133dd2a021e0f5a459104f63124461b4aac28bf3579dc81475441b3576901f28f704d6d4624939b22ecfbfbec896148c4c38da7c
DIST farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz 467122 BLAKE2B 8b9dd426f4b9f732df6c8c09d868d1b1cc006c395b1525c46ea91c75318b723358c8e64bb0d86a73aace2032eded93f0d80cc7c2c77fddd6a39e3402ab4f2cb7 SHA512 7f5110514a8cdc7ce48d33fd94ad67d96a24e42e11b203e4d0986f4190545f051b2a63f8e09f2ac38c3aa4a5c62d9a0e02cd8ce02045037381fb62a99f0dcd00
-DIST gemmlowp-12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip 935628 BLAKE2B 09bd1dd1e367b1e5c4fe9a9525449c09460f19168bc03c57ad563aa27ec74a18f08b620a3dab6da4fa1a1448cdc7ce8bc8a089becc033b53fff4cc07593315ce SHA512 bd42a364f718f3b077cd9c840d626bfc1fd92ace98ce43329d8fa54700c9d28cb47568b6567e9b081b340af7be621c44be1ce06d4b8dccc4fb5d82c35b12f951
DIST gemmlowp-fda83bdc38b118cc6b56753bd540caa49e570745.zip 936866 BLAKE2B 0977df121a80de979a9996b58a0a8cad157db8d0862b96f95b3be1157cddbc6b40dff4fc7da4ee78f5986cbfff2a67c173155e849e772ae476398c51f3028311 SHA512 4bf036de43f5e0890f66e0b16cd9a0f52911b160f79c9c50cf403454fa9d6040df225d34e02f424da8bb8c5f7f5c002f88f4d232c61503aa825c907ad8742823
DIST highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz 138574 BLAKE2B cecd95039fc31545ced38a1949e7cb31d6f34deef7c8923b573aa7a632576d0a9b60fd24fbc8a40b8a840a7d2442ea28382fe842178a77467772ed4ba8a2cfb6 SHA512 d25162ed266a8c9c00e6978fcf642cf924f03c0d196f971d0d6f6a3454ca7dfc82f758eabd038ac08e0a5dacc51eccb9b674f588f64692f37cb7a17150aefe4f
DIST kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz 44744 BLAKE2B aeea5d23c122417ddb70a44354890242c4fb61c456fba9af79054293a1355939af51a681760ac27be55423f888649fd2826e634422c7e9cb3749a9d7f50ef990 SHA512 30f4fcd351bbcb950a27e2a77ca100ccdfd37deb17a05e7e31c3e8f1c56d7c626ab81bbd7497484e6b512e41f7b1bed714722a194b2218c669b297911101df7b
-DIST llvm-387c3f74fd8efdc0be464b0e1a8033cc1eeb739c.tar.gz 115936989 BLAKE2B 624b4a898321e62002cbf3955f844755b3ba6b1c8acf9a310ddac19cf21f9627902eb0b3684e42bac1fe835be972322a5cc667f78a6e2b0e699f956e0cab81e8 SHA512 09ec39ec7a25703bbb47befb406be3de6d15232c971fa186e33dff80192876a827e35523a9782365e26a90abd42b32b9a2ee1443af71cc23cd825b3ff05df629
DIST llvm-7e825abd5704ce28b166f9463d4bd304348fd2a9.tar.gz 120301408 BLAKE2B 928117c2bae7bcdd2445e9f65297b45b009dfc62e9c16ed08a8f00aacee2497492b6fb4cbea0047a8aa1425b538e02af9b8e6dd21e52348cc45dfbb71ab3f47f SHA512 a9cfbd00a0530e4f5d001029c33be3723ed009799a42bd730a65319da671020a249ae5ba4496f1347a71a9ee69de4e9fe2b80c60ebd1bc4d6d4120bd3d6fecde
-DIST llvm-ecc999101aadc8dc7d4af9fd88be10fe42674aa0.tar.gz 115788302 BLAKE2B ea18d6cb3cc8311a78e543996d88831e1ecf1dec58b7c890a80cd8fce86e1c52244b9cfc0d7ce0867480465c2d914555c16cf003bfdcf90056d63e8f4e0ea0c0 SHA512 5422762ffe1022ad4588bcf2bdce1a041c37b5edffed70fcefdd911b2dbf8b52cba9ec57670d48d7b69be6b71e354d333d6eaa5ac5260df56ed8ab18fd98fe88
DIST llvm-f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz 127766458 BLAKE2B 7170f72e131ec672a1d81a8f33284568fc367608d2c5940b435a75cf8596dc71588c942c6d24c47a7e88c391b0c4030df6f18f6d1da15140587c8a9b078cd83c SHA512 6ebee8cece3845875d39678d7fe248c71e7c3463554bf345e03c06985afcdcd2a0052338358764ba366c7ecf72cd97703cb06613aeddec3110cf20c30eb70d25
-DIST nvidia-nccl-0ceaec9cee96ae7658aa45686853286651f36384.tar.gz 107044 BLAKE2B fd018b1d40977add357e98382f41e3fa6456bdc9a181e2d6cc7a3bc7fb98d242b3216b5ed0c40323bbcc006ab5221b49819ebc1dccd0c8dd700d9504f085eed1 SHA512 e66f323abb68feeec41927cc23e3a85d82fd1b7105a6232626edba95acb9eb22b3fb8b28d1a7adb536c47c936f68271fe5d8f66d3059e3128608ad826dd7622e
DIST nvidia-nccl-195232556936b39b01cc908296e1650b80d4a3e9.tar.gz 147607 BLAKE2B 4109d195e646d5d492ff0533aea4d95fca59e5fb97aee0261c1b6d1f4615c1e6facb54b14bd4d1fc710b938c0edeca72b528e9e91e57d4bffa3b28af909449f4 SHA512 e45f0e07fdfdfc859f1e5ac05224977af821c99b0d9e11c71e9983612e621f55272a8836049ca61fe26f7663c4f8180102684143403ab46be73fbc8ba15e0c56
-DIST nvidia-nccl-3701130b3c1bcdb01c14b3cb70fe52498c1e82b7.tar.gz 123898 BLAKE2B 9a268e089877fde9ac900b43bbf829f7dedfa701b017568647e3564670d5457dc18c96846a2cc8674b243c0c7d97d322e7466167c322588af3ad4f2d189b175b SHA512 9b090a963213eb088edf247e72b51a6cc79669f507831b88205c75a006a43f3d2257c4e75a34c33987c7d95c421e2273642db4c716b02907e8de1b1ef5d080f0
DIST nvidia-nccl-5949d96f36d050e59d05872f8bbffd2549318e95.tar.gz 147548 BLAKE2B f3d3dd222ae90ac9ac1457a9695f112a21f5652a5b40e10ac049da910f07707b1c3910f59734fbe5e2c6523c1e83f3801f809efa77d122a57e859828c74ba8c2 SHA512 d9ea83caf7940fb47134293236fcb7478c0d4e40365d3b0a29427758e2e2dbb980c5e8c05fc9fc3956ed5e21a82ec0efaa31d973fe9c73fa3f50465f76756131
-DIST oourafft2d-20061228.tgz 54434 BLAKE2B 382dd5787155b877a2ad1d624596afb5dbbe146a7aedf044d7f016949deedac871a512a030b5e6ac9ea5310e216788ffb99af1dd9d2a0de3f1ad72d9e5e7a3db SHA512 af993f68e8e1eb3cb927a51e86da8f74cfafc912a7cd055515e50fe543dd19ab5a6f7b1c2be4a55d6f4a0e5d766ead34c3be4c5705be6353f78cb2a55bd5cf16
-DIST pybind11-v2.3.0.tar.gz 564520 BLAKE2B a7c1485aa8f63a00eccd3103cf9f531a080b049be02e6182b30503ae6dd6c55fc517684ed9d92aaec244efd5f77336c68d1ea546833f7f0ae2fd7b090c19a02d SHA512 04542fe9dca2ffdb86c15698a4bbc041446a9f11970092e89a482ae0ff64c932f62fff8f437b98bdaa006c1fccabddd79f0c7e376f27daed2150b1d2f988e8aa
DIST pytorch-cpuinfo-6cecd15784fcb6c5c0aa7311c6248879ce2cb8b2.zip 3787039 BLAKE2B 3a529648d548b7570fd38783e5a3915bf3ad82ab028ee11f70fddaf09b8d64dc58f4d32ed54557b9f3087a8bb13ff4fd78b3597df6b1b5d3c3ef65c03193251a SHA512 8b34e580f19494f92796176db3f14680fd1b7b64458c0ef8e71ff1b3f1cbe12204e901167a585c1e04e95fbeaad5de104abc5edf3ea81a0da1c480a99f6bb94b
DIST pytorch-cpuinfo-d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz 3489028 BLAKE2B aa6b7719eb9871b6cc71318cb4a9c2e2397e665662b7978daecd9e8380304691a78b95118eba5cbbb738c4b490352a847f6ce6b5c4ae29de0543b95ecc557cbb SHA512 ecd2115340fa82a67db7889ce286c3070d5ab9c30b02372b08aac893e90ccebc65c6b3e66aa02a9ae9c57892d2d8c3b77cb836e5fc3b88df2c75d33e574d90d2
DIST re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz 316237 BLAKE2B 8a975bc3e78b690f70944651c7022c6d946f40b2eb5fe01b2e203141f94b890cf1ad5c72af8e7c6ff3c5242d42af5a8657ed69e3c74d9ac081beb15de6334c0c SHA512 e3e00e92700d08bc55ba0e96148ddf1e00de2d329c1fdac08691ff15976937829f66dbc84af886a4b749ad66ba4ab208d66811e97e33bb9c2d7359735406c450
@@ -49,12 +34,7 @@ DIST ruy-34ea9f4993955fa1ff4eb58e504421806b7f2e8f.zip 312628 BLAKE2B e42c484092f
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-2.1.0.tar.gz 41637803 BLAKE2B 63aac95cdb71097d2e7a257a691a2b51703fb22d2535395494adebfae0d3f97f8dd9e0deaadf1c2f3d3d26138066a7c6fb9b9728b5b0ac3d54360d7b5e4bebff SHA512 6d09ba3c097e4b3d712e7164d649841572c418d56c207eea6d31e3b1851b84ce57e82801d9887d84cfd8fcf990a3ea4c4b4b05265f8d625509986412c230c3c6
-DIST tensorflow-2.2.0.tar.gz 42100791 BLAKE2B 8b773ae9945ca267af33a34d86f6aef02310976bea1cdd98858d1405e8da845640b72a073b71fcfccb2b73f08600a5eada2c2332a8d9480bba71e9f25dbb2220 SHA512 94a2663497d333d543f363e9fea94fbcfdcdbbc0dfbaf009ba9181a808713aeb78f9b8805f56bea5fd3925a36f105427b3996795750589f378d8afbdadc2b86d
DIST tensorflow-2.3.1.tar.gz 46544608 BLAKE2B c3cb0954fcd060b95d63895cbeeca20f6af29ade999dc43db5fe010d6b33b6f650047d529f174a1663c23440a56e057e2f97c503a4a40bcdac9374b549f3220e SHA512 e497ef4564f50abf9f918be4522cf702f4cf945cb1ebf83af1386ac4ddc7373b3ba70c7f803f8ca06faf2c6b5396e60b1e0e9b97bfbd667e733b08b6e6d70ef0
DIST tensorflow-2.4.0_rc3.tar.gz 53251141 BLAKE2B 45a05fc1bc6f5f940487ecfd53a5dd37718a39a2a3dfd536cb6e41ba1da9fbac9e166aeb288ad122adc6474af94c13a2370779c37aa7162de3cb0c015acd5c44 SHA512 c02901fb41aa996a4d3c4a118cd76c62502e99be64f6ecf98208b2c65ed9f8c87c4060dcc983f6fe8280207b3bfa967e5f325e2d926aa1b4429f99fc0153c2e1
-DIST tensorflow-patches-2.1.0.tar.bz2 5737 BLAKE2B 67f5004312389ed19e810aad9f2d5d4839d806b5a7422963520e0dff06b91346683647db757ac463af13ca70861a7ed9c94be242910abacc6be350e162947225 SHA512 a20bfb619d59e0d2741a27ce36e3d38dbb7a5a706d6bc56f8aa94b5b72288139ad301fc06390b128ef1c3a88b758d09d0224351590dedcda9c5309cc55af6fed
-DIST tensorflow-patches-2.2.0-r1.tar.bz2 3890 BLAKE2B cf4e0d579992cd09136fe3a11c5016e7b996ea959dad9f3a1ccff2fa623c2c4eab1c6673dfaf08b3b01220fd00c9edd5966e1162049f6d1e4fe5af280f491850 SHA512 8d07c9351b75faf90a137f65c2e6147d884744c5ab9b0bacadfa7bdc7b66ec2ec92920c7d23396bb70f7f4fb290f3f818591f23c6a4e91ab1a79290cb4ea1533
DIST tensorflow-patches-2.3.1-r1.tar.bz2 12300 BLAKE2B 068c127d7e980baf63068c524c9411e4f19bb79ee369221cf474a964a15ad340b28bde09504a8d524167eea036caf9d2dc52d0ad7ae1e52a76d1892833b033a0 SHA512 510676e4f999c12331a61bfeeca45b2526292d8bca8b0b42c1d8d466bc52722075fbd4df26a5f67dbe1ca4ccd9059e783c113cf694b436ff48c8114c99234cd3
-DIST tensorflow-patches-2.3.1.tar.bz2 11361 BLAKE2B 22ddd827f616e33fd259ce2b7da5cda539d856701ad108d1d3b52d1dab660bcddc809fd9e9db5e6496552df080493b0205b83a58dc32808dc70c60a5878aa8af SHA512 cdfc3407c775f8529cb8eb939b1046a7094ff999b8225e419e2ab4be19ecba6d853ebd8cd2dda77a7f60425a440f4d60bf3afca4a80688f0cba9967e14f8b8fb
DIST tensorflow-patches-2.4.0_rc3.tar.bz2 1843 BLAKE2B 6d4188471502e4411a5a7a6e731142af38421961600c52e7d76d137f952a5b8327dc8d8b4a40b60d3fb46130fe3d40ae2adc3d60d9a882f9d9b07d424e45e194 SHA512 abf9fbd870a8fa59b9d4e1b8260c4fbb5badeeca3e2b77caa031036759302bccae4adf91b291bc7a12df3c679b887338a8cd98d41847eb8ddd0c2bf4b8ccf342
diff --git a/sci-libs/tensorflow/tensorflow-2.1.0.ebuild b/sci-libs/tensorflow/tensorflow-2.1.0.ebuild
deleted file mode 100644
index 4f7b9c8ecf7d..000000000000
--- a/sci-libs/tensorflow/tensorflow-2.1.0.ebuild
+++ /dev/null
@@ -1,366 +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=( python{3_6,3_7} )
-MY_PV=${PV/_rc/-rc}
-MY_P=${PN}-${MY_PV}
-
-inherit bazel check-reqs cuda distutils-r1 flag-o-matic toolchain-funcs
-
-DESCRIPTION="Computation framework using data flow graphs for scalable machine learning"
-HOMEPAGE="https://www.tensorflow.org/"
-
-LICENSE="Apache-2.0"
-SLOT="0"
-KEYWORDS="~amd64"
-IUSE="cuda mpi +python xla"
-CPU_USE_FLAGS_X86="sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma3 fma4"
-for i in $CPU_USE_FLAGS_X86; do
- IUSE+=" cpu_flags_x86_$i"
-done
-
-# distfiles that bazel uses for the workspace, will be copied to basel-distdir
-bazel_external_uris="
- https://storage.googleapis.com/mirror.tensorflow.org/www.kurims.kyoto-u.ac.jp/~ooura/fft2d.tgz -> oourafft2d-20061228.tgz
- https://gitlab.com/libeigen/eigen/-/archive/4e696901f873a2347f76d931cf2f701e31e15d05/eigen-4e696901f873a2347f76d931cf2f701e31e15d05.tar.gz -> eigen-4e696901f873a2347f76d931cf2f701e31e15d05.tar.gz
- https://github.com/abseil/abseil-cpp/archive/43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz -> abseil-cpp-43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz
- https://github.com/bazelbuild/bazel-skylib/releases/download/0.8.0/bazel-skylib.0.8.0.tar.gz
- https://github.com/bazelbuild/bazel-skylib/releases/download/0.9.0/bazel_skylib-0.9.0.tar.gz
- https://github.com/bazelbuild/bazel-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz -> bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz
- https://github.com/bazelbuild/rules_cc/archive/0d5f3f2768c6ca2faca0079a997a97ce22997a0c.zip -> bazelbuild-rules_cc-0d5f3f2768c6ca2faca0079a997a97ce22997a0c.zip
- https://github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz -> bazelbuild-rules_closure-308b05b2419edb5c8ee0471b67a40403df940149.tar.gz
- https://github.com/bazelbuild/rules_docker/releases/download/v0.10.0/rules_docker-v0.10.0.tar.gz -> bazelbuild-rules_docker-v0.10.0.tar.gz
- https://github.com/bazelbuild/rules_swift/releases/download/0.12.1/rules_swift.0.12.1.tar.gz -> bazelbuild-rules_swift.0.12.1.tar.gz
- https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz -> farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
- https://github.com/google/gemmlowp/archive/12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip -> gemmlowp-12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip
- https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
- https://github.com/google/re2/archive/506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz -> re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz
- https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
- https://github.com/pybind/pybind11/archive/v2.3.0.tar.gz -> pybind11-v2.3.0.tar.gz
- https://github.com/llvm/llvm-project/archive/ecc999101aadc8dc7d4af9fd88be10fe42674aa0.tar.gz -> llvm-ecc999101aadc8dc7d4af9fd88be10fe42674aa0.tar.gz
- cuda? (
- https://github.com/nvidia/nccl/archive/0ceaec9cee96ae7658aa45686853286651f36384.tar.gz -> nvidia-nccl-0ceaec9cee96ae7658aa45686853286651f36384.tar.gz
- https://github.com/NVlabs/cub/archive/1.8.0.zip -> cub-1.8.0.zip
- )
- python? (
- https://github.com/intel/ARM_NEON_2_x86_SSE/archive/1200fe90bb174a6224a525ee60148671a786a71f.tar.gz -> ARM_NEON_2_x86_SSE-1200fe90bb174a6224a525ee60148671a786a71f.tar.gz
- https://storage.googleapis.com/mirror.tensorflow.org/docs.python.org/2.7/_sources/license.rst.txt -> tensorflow-1.15.0-python-license.rst.txt
- https://pypi.python.org/packages/bc/cc/3cdb0a02e7e96f6c70bd971bc8a90b8463fda83e264fa9c5c1c98ceabd81/backports.weakref-1.0rc1.tar.gz
- )"
-
-SRC_URI="https://github.com/${PN}/${PN}/archive/v${MY_PV}.tar.gz -> ${P}.tar.gz
- https://dev.gentoo.org/~perfinion/patches/tensorflow-patches-${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-1.22.0
- net-misc/curl
- sys-libs/zlib
- >=sys-apps/hwloc-2
- cuda? (
- >=dev-util/nvidia-cuda-toolkit-9.1[profiler]
- dev-libs/cudnn
- )
- mpi? ( virtual/mpi )
- python? (
- ${PYTHON_DEPS}
- >=dev-libs/flatbuffers-1.8.0
- dev-python/absl-py[${PYTHON_USEDEP}]
- >=dev-python/astor-0.7.1[${PYTHON_USEDEP}]
- dev-python/gast[${PYTHON_USEDEP}]
- >=dev-python/numpy-1.16[${PYTHON_USEDEP}]
- dev-python/google-pasta[${PYTHON_USEDEP}]
- dev-python/opt-einsum[${PYTHON_USEDEP}]
- >=dev-python/protobuf-python-3.8.0[${PYTHON_USEDEP}]
- dev-python/six[${PYTHON_USEDEP}]
- dev-python/termcolor[${PYTHON_USEDEP}]
- >=dev-python/grpcio-1.22.0[${PYTHON_USEDEP}]
- >=dev-python/wrapt-1.11.1[${PYTHON_USEDEP}]
- >=net-libs/google-cloud-cpp-0.10.0
- >=sci-libs/keras-applications-1.0.8[${PYTHON_USEDEP}]
- >=sci-libs/keras-preprocessing-1.1.0[${PYTHON_USEDEP}]
- >=sci-visualization/tensorboard-2.0.0[${PYTHON_USEDEP}]
- )"
-DEPEND="${RDEPEND}
- python? (
- dev-python/mock
- dev-python/setuptools
- )"
-PDEPEND="python? (
- >=sci-libs/tensorflow-estimator-2.0.0[${PYTHON_USEDEP}]
- )"
-BDEPEND="
- app-arch/unzip
- >=dev-libs/protobuf-3.8.0
- dev-java/java-config
- dev-lang/swig
- || (
- =dev-util/bazel-0.27*
- =dev-util/bazel-0.29*
- )
- cuda? (
- >=dev-util/nvidia-cuda-toolkit-9.1[profiler]
- )
- !python? ( dev-lang/python )
- python? (
- dev-python/cython
- dev-python/mock
- >=dev-python/grpcio-tools-1.22.0
- )"
-REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
-
-S="${WORKDIR}/${MY_P}"
-
-DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
-CHECKREQS_MEMORY="5G"
-CHECKREQS_DISK_BUILD="10G"
-
-get-cpu-flags() {
- local i f=()
- # Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
- for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
- use cpu_flags_x86_${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
-
- 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: $TF_CUDNN_VERSION"
-
- if [[ -z "$TF_CUDA_COMPUTE_CAPABILITIES" ]]; then
- ewarn "WARNING: Tensorflow is being built with its default CUDA compute capabilities: 3.5 and 7.0."
- ewarn "These may not be optimal for your GPU."
- ewarn ""
- ewarn "To configure Tensorflow with the CUDA compute capability that is optimal for your GPU,"
- ewarn "set TF_CUDA_COMPUTE_CAPABILITIES in your make.conf, and re-emerge tensorflow."
- ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TF_CUDA_COMPUTE_CAPABILITIES=7.5,3.5"
- ewarn ""
- ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus"
- ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'"
- fi
- fi
-
- # com_googlesource_code_re2 weird branch using absl, doesnt work with released re2
- local SYSLIBS=(
- absl_py
- astor_archive
- boringssl
- com_github_googleapis_googleapis
- com_github_googlecloudplatform_google_cloud_cpp
- com_google_protobuf
- curl
- cython
- double_conversion
- enum34_archive
- flatbuffers
- functools32_archive
- gast_archive
- gif
- grpc
- hwloc
- icu
- libjpeg_turbo
- jsoncpp_git
- keras_applications_archive
- lmdb
- nasm
- nsync
- opt_einsum_archive
- org_sqlite
- pasta
- pcre
- png
- pybind11
- six_archive
- snappy
- swig
- termcolor_archive
- wrapt
- zlib_archive
- )
-
- export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
- export TF_IGNORE_MAX_BAZEL_VERSION=1
-
- # This is not autoconf
- ./configure || die
-
- echo 'build --config=noaws --config=nohdfs' >> .bazelrc || die
- echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
- echo 'build --incompatible_no_support_tools_in_action_inputs=false' >> .bazelrc || die
- }
- if use python; then
- python_foreach_impl run_in_build_dir do_configure
- else
- do_configure
- fi
-}
-
-src_compile() {
- export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
- if use python; then
- python_setup
- BUILD_DIR="${S}-${EPYTHON/./_}"
- cd "${BUILD_DIR}"
- fi
-
- # fail early if any deps are missing
- ebazel build --nobuild \
- //tensorflow:libtensorflow_framework.so \
- //tensorflow:libtensorflow.so \
- //tensorflow:libtensorflow_cc.so \
- $(usex python '//tensorflow/tools/pip_package:build_pip_package' '')
-
- ebazel build \
- //tensorflow:libtensorflow_framework.so \
- //tensorflow:libtensorflow.so
- ebazel build //tensorflow:libtensorflow_cc.so
-
- do_compile() {
- ebazel build //tensorflow/tools/pip_package:build_pip_package
- }
- BUILD_DIR="${S}"
- cd "${BUILD_DIR}"
- use python && python_foreach_impl run_in_build_dir do_compile
- ebazel shutdown
-}
-
-src_install() {
- local i j
- export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
- do_install() {
- einfo "Installing ${EPYTHON} files"
- local srcdir="${T}/src-${MULTIBUILD_VARIANT}"
- mkdir -p "${srcdir}" || die
- bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "${srcdir}" || die
- cd "${srcdir}" || die
- esetup.py install
-
- # libtensorflow_framework.so is in /usr/lib already
- 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-genfiles/tensorflow/include/*
-
- einfo "Installing libs"
- # Generate pkg-config file
- ${PN}/c/generate-pc.sh --prefix="${EPREFIX}"/usr --libdir=$(get_libdir) --version=${MY_PV} || die
- insinto /usr/$(get_libdir)/pkgconfig
- doins ${PN}.pc ${PN}_cc.pc
-
- for l in libtensorflow{,_framework,_cc}.so; do
- dolib.so bazel-bin/tensorflow/${l}
- dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1)
- dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1-3)
- done
-
- einstalldocs
-}
diff --git a/sci-libs/tensorflow/tensorflow-2.2.0-r1.ebuild b/sci-libs/tensorflow/tensorflow-2.2.0-r1.ebuild
deleted file mode 100644
index cefe66efecad..000000000000
--- a/sci-libs/tensorflow/tensorflow-2.2.0-r1.ebuild
+++ /dev/null
@@ -1,379 +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=( python{3_6,3_7} )
-MY_PV=${PV/_rc/-rc}
-MY_P=${PN}-${MY_PV}
-
-inherit bazel check-reqs cuda distutils-r1 flag-o-matic toolchain-funcs
-
-DESCRIPTION="Computation framework using data flow graphs for scalable machine learning"
-HOMEPAGE="https://www.tensorflow.org/"
-
-LICENSE="Apache-2.0"
-SLOT="0"
-KEYWORDS="~amd64"
-IUSE="cuda mpi +python xla"
-CPU_USE_FLAGS_X86="sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma3 fma4"
-for i in $CPU_USE_FLAGS_X86; do
- IUSE+=" cpu_flags_x86_$i"
-done
-
-# distfiles that bazel uses for the workspace, will be copied to basel-distdir
-bazel_external_uris="
- https://storage.googleapis.com/mirror.tensorflow.org/www.kurims.kyoto-u.ac.jp/~ooura/fft2d.tgz -> oourafft2d-20061228.tgz
- https://gitlab.com/libeigen/eigen/-/archive/52a2fbbb008a47c5e3fb8ac1c65c2feecb0c511c/eigen-52a2fbbb008a47c5e3fb8ac1c65c2feecb0c511c.tar.gz
- https://github.com/abseil/abseil-cpp/archive/43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz -> abseil-cpp-43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz
- https://github.com/bazelbuild/bazel-skylib/releases/download/0.9.0/bazel_skylib-0.9.0.tar.gz
- https://github.com/bazelbuild/rules_apple/releases/download/0.18.0/rules_apple.0.18.0.tar.gz -> bazelbuild-rules_apple.0.18.0.tar.gz
- https://github.com/bazelbuild/apple_support/releases/download/0.7.1/apple_support.0.7.1.tar.gz -> bazelbuild-apple_support.0.7.1.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_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/releases/download/0.12.1/rules_swift.0.12.1.tar.gz -> bazelbuild-rules_swift.0.12.1.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/12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip -> gemmlowp-12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip
- https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
- https://github.com/google/re2/archive/506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz -> re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz
- https://github.com/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz
- https://github.com/llvm/llvm-project/archive/387c3f74fd8efdc0be464b0e1a8033cc1eeb739c.tar.gz -> llvm-387c3f74fd8efdc0be464b0e1a8033cc1eeb739c.tar.gz
- https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
- cuda? (
- https://github.com/nvidia/nccl/archive/3701130b3c1bcdb01c14b3cb70fe52498c1e82b7.tar.gz -> nvidia-nccl-3701130b3c1bcdb01c14b3cb70fe52498c1e82b7.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-9.1[profiler]
- dev-libs/cudnn
- )
- 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/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-2.2.0[${PYTHON_USEDEP}]
- )"
-DEPEND="${RDEPEND}
- python? (
- dev-python/mock
- dev-python/setuptools
- )"
-PDEPEND="python? (
- >=sci-libs/tensorflow-estimator-2.2.0[${PYTHON_USEDEP}]
- )"
-BDEPEND="
- app-arch/unzip
- >=dev-libs/protobuf-3.8.0
- dev-java/java-config
- dev-lang/swig
- =dev-util/bazel-2.0*
- 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
-
- 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
- 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
- termcolor_archive
- wrapt
- zlib
- )
-
- export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
- export TF_IGNORE_MAX_BAZEL_VERSION=1
-
- # This is not autoconf
- ./configure || die
-
- echo 'build --config=noaws --config=nohdfs' >> .bazelrc || die
- echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
- }
- if use python; then
- python_foreach_impl run_in_build_dir do_configure
- else
- do_configure
- fi
-}
-
-src_compile() {
- export JAVA_HOME=$(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-2.2.0-r2.ebuild b/sci-libs/tensorflow/tensorflow-2.2.0-r2.ebuild
deleted file mode 100644
index 1ab08e35c457..000000000000
--- a/sci-libs/tensorflow/tensorflow-2.2.0-r2.ebuild
+++ /dev/null
@@ -1,382 +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} )
-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://storage.googleapis.com/mirror.tensorflow.org/www.kurims.kyoto-u.ac.jp/~ooura/fft2d.tgz -> oourafft2d-20061228.tgz
- https://gitlab.com/libeigen/eigen/-/archive/52a2fbbb008a47c5e3fb8ac1c65c2feecb0c511c/eigen-52a2fbbb008a47c5e3fb8ac1c65c2feecb0c511c.tar.gz
- https://github.com/abseil/abseil-cpp/archive/43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz -> abseil-cpp-43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz
- https://github.com/bazelbuild/bazel-skylib/releases/download/0.9.0/bazel_skylib-0.9.0.tar.gz
- https://github.com/bazelbuild/rules_apple/releases/download/0.18.0/rules_apple.0.18.0.tar.gz -> bazelbuild-rules_apple.0.18.0.tar.gz
- https://github.com/bazelbuild/apple_support/releases/download/0.7.1/apple_support.0.7.1.tar.gz -> bazelbuild-apple_support.0.7.1.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_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/releases/download/0.12.1/rules_swift.0.12.1.tar.gz -> bazelbuild-rules_swift.0.12.1.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/12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip -> gemmlowp-12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip
- https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
- https://github.com/google/re2/archive/506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz -> re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz
- https://github.com/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz
- https://github.com/llvm/llvm-project/archive/387c3f74fd8efdc0be464b0e1a8033cc1eeb739c.tar.gz -> llvm-387c3f74fd8efdc0be464b0e1a8033cc1eeb739c.tar.gz
- https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
- cuda? (
- https://github.com/nvidia/nccl/archive/3701130b3c1bcdb01c14b3cb70fe52498c1e82b7.tar.gz -> nvidia-nccl-3701130b3c1bcdb01c14b3cb70fe52498c1e82b7.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 -> ${P}.tar.gz
- https://dev.gentoo.org/~perfinion/patches/tensorflow-patches-${PV}-r1.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-9.1[profiler]
- dev-libs/cudnn
- )
- 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/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-2.2.0[${PYTHON_USEDEP}]
- )"
-DEPEND="${RDEPEND}
- python? (
- dev-python/mock
- dev-python/setuptools
- )"
-PDEPEND="python? (
- >=sci-libs/tensorflow-estimator-2.2.0[${PYTHON_USEDEP}]
- )"
-BDEPEND="
- app-arch/unzip
- >=dev-libs/protobuf-3.8.0
- dev-java/java-config
- dev-lang/swig
- =dev-util/bazel-2.0*
- 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-${PV}-r1.tar.bz2
- bazel_load_distfiles "${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
-
- # 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
- 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
- termcolor_archive
- wrapt
- zlib
- )
-
- export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
- export TF_IGNORE_MAX_BAZEL_VERSION=1
-
- # This is not autoconf
- ./configure || die
-
- echo 'build --config=noaws --config=nohdfs' >> .bazelrc || die
- echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
- }
- if use python; then
- python_foreach_impl run_in_build_dir do_configure
- else
- do_configure
- fi
-}
-
-src_compile() {
- export JAVA_HOME=$(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-2.3.1.ebuild b/sci-libs/tensorflow/tensorflow-2.3.1.ebuild
deleted file mode 100644
index 657eb270e10f..000000000000
--- a/sci-libs/tensorflow/tensorflow-2.3.1.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
-}