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authorJason Zaman <perfinion@gentoo.org>2019-12-09 10:57:41 +0800
committerJason Zaman <perfinion@gentoo.org>2019-12-09 11:00:05 +0800
commit45cffd5350c6e32f774e63434ae12855340b2452 (patch)
tree3bc70ad2dc40e50169c8988ff9a6d81533aa52b3 /sci-libs/tensorflow
parentsci-libs/tensorflow: bump 1.15.0 (diff)
downloadgentoo-45cffd5350c6e32f774e63434ae12855340b2452.tar.gz
gentoo-45cffd5350c6e32f774e63434ae12855340b2452.tar.bz2
gentoo-45cffd5350c6e32f774e63434ae12855340b2452.zip
sci-libs/tensorflow: drop old
Package-Manager: Portage-2.3.79, Repoman-2.3.16 Signed-off-by: Jason Zaman <perfinion@gentoo.org>
Diffstat (limited to 'sci-libs/tensorflow')
-rw-r--r--sci-libs/tensorflow/Manifest13
-rw-r--r--sci-libs/tensorflow/files/tensorflow-1.15.0_rc0-0003-python-deps.patch15
-rw-r--r--sci-libs/tensorflow/tensorflow-1.14.0-r2.ebuild340
-rw-r--r--sci-libs/tensorflow/tensorflow-1.15.0_rc0.ebuild359
4 files changed, 0 insertions, 727 deletions
diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest
index 3dcac2f962eb..1fccc3eaf938 100644
--- a/sci-libs/tensorflow/Manifest
+++ b/sci-libs/tensorflow/Manifest
@@ -1,24 +1,18 @@
DIST ARM_NEON_2_x86_SSE-1200fe90bb174a6224a525ee60148671a786a71f.tar.gz 100612 BLAKE2B 84f81072d3298dde613b4c1ebabf852c67e04b5882a4ca0ed6f218b42e8fa3ea9598140b0c0009e8d6b62d08902622a6d57ee005ec3ad8a808c9fb21aa53430c SHA512 03a289d8099a5c4a5298cba8f516d2edb41220935d8db750970113ca7513372c78241c2c948d0ffcd60e84686e50ba1d7fd0b46efea6881dd320435eca92a7b9
DIST abseil-cpp-43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz 1281523 BLAKE2B 955802c74ed9baf222dcd824d2940147ae89edbc88f12bb8f54839776fe18bb18c0fde23b0d3142bb3be65a57930c96d03fdd243e8da07435eeb04329c31483d SHA512 c2ae1bd789251ec70cd0baafd92521e48fb1648aee8d9d84a8269436300848b6a9d7aead6bef8a12d3a9040f19535ac725ae961f12566500d309bc13dfee26a4
-DIST abseil-cpp-daf381e8535a1f1f1b8a75966a74e7cca63dee89.tar.gz 1275955 BLAKE2B eb6e0f9d55458a4ae6e8b86be89add9b0cc44d1ff5a11f6fa1ec93e2f46885c8ff87b8c1e674e1ba5ac13556ed303963864057f0e258fce41fa753d891846996 SHA512 56a827296e2948b90922766369f2040e04abd03320375240ad32fcc2925cdd1ffea312edcef1009a0c8abd79f521a61e433b7651dd4c2721d2b1ad13f48256de
DIST backports.weakref-1.0rc1.tar.gz 7761 BLAKE2B 4cb2554a4b71bb1f8c41a790268511e4b382effc7e0328f74346d086de539a177111de9e2dabac19a44b2a1cdbf59a7425e30eee4caa4bfe66b0ca97f1f460a9 SHA512 f37e9eb0d9060d2e1588a941f623460bd4477d7e180b38b5cd46d9c1db1ee094ae63e4f5eeeb422823bf3d067f46c4124cb124a9e4ddb795bc0bfbc4802ab826
-DIST bazel-skylib-0.6.0.tar.gz 29330 BLAKE2B 53d23a81203c08cb5ab4adbd308bb6c9875df0f2d27c6f8832a27397578e9214ebcd95f63bd6c539d534ecb5f2316116063e3e5d1a36986cf94d167d7823234d SHA512 14ce6782509be7d3cb0fe438aaad579ad23bf328d566cab06a2008990041ee098b4602542cb67961d757573a8c272e5dddb143efd756cd6ec40486159329fa91
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-toolchains-94d31935a2c94fe7e7c7379a0f3393e181928ff7.tar.gz 505681 BLAKE2B f16225eb11859f487335bddca115c9c2a05731f4bfe4240609a47e17b706d9a25b6b363b61404b4d5df0471e4dd9b4b9befbf78dbcb1c7c11e3f590039ff92b2 SHA512 7723baf2c710adb063375a33fd64e3941fae7e98c824764c266d5554cc0b0cbb1c91a5c2a9058bb4c8766ec404ca556199ce22965a6de4baee09cb740b7671c9
DIST bazel_skylib-0.9.0.tar.gz 84644 BLAKE2B 40b69a524e632ea00d34b9cf805b882ac4c549dd465ef37f28e54729ff1b614a7610a4895cede4e0c938edba5b19f781f3c0bfdb62bde628ee0af21d6b679546 SHA512 af4bcb641fed05d15f2d0ffe0e3abdfe9c7a5deb9c53064992d6605d224ded1648b1bdfa293e161028913f9f2c178c68cc38bc16028892ca5b0f52b4e645209d
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_closure-cf1e44edb908e9616030cc83d085989b8e6cd6df.tar.gz 462798 BLAKE2B f461635702cd881828cf401c78fe0e64398c015d7f7824b369b0808d54224c633b6d8b699000e9e481ba094a93e01c33cc4360a541b2d520db10d3e9ef81007e SHA512 e85b13a50cbec60e4e574de9a3d3b646ca4bf045c55afcb41f2fd671202aac9e6d3e91c618f8923986ae142e615624718f3df0d1edb33a90e334f29667888d39
DIST bazelbuild-rules_docker-v0.10.0.tar.gz 549649 BLAKE2B e7a537b21138a5c5d9ce360e46238f57c917d2dbf5dd17887607402227cbe7c5d68aead9db0ecdb74c09eed9dac26eb86e004a9020c251152d15beb48be0e0d7 SHA512 7802107f8520c88646728800637cce54dbcefc54aa4361288a5b46e403e41998bc23e16fbe94f23a2ca52e5c33fc255af65846963c2fd0139ca1195435ce1b03
DIST bazelbuild-rules_swift.0.11.1.tar.gz 107453 BLAKE2B 8cd686b945b5c9de9c8bfcaca38cd7c513bb8b55b4584bc569463997e7c5abcac3be4a5a31ccf95a494d17f3078ec9b1052497dba228fa3159a0c0be2a83eb88 SHA512 3479d6d8ce9111a39b9ef2e014399abc904e432841570dd0380104d80e4d3a74b6ff5cc6d2b250bcd15b152efa29d08f9ed092f70fd8bafa6deaa6f847d7f626
DIST bazelbuild-rules_swift.0.12.1.tar.gz 111674 BLAKE2B 7c116d6098aa0725034dce4c83628c31c85c36a6331b44636deb2efe0f689a5baee8081b33d65e3727a83bca865bcabedd6f8fa1fdb60e901a9b60840c52c018 SHA512 6136feb3dc0074f82500000cf5335f046f21ea3a1edcb4dcb22228c82b56ed6a334e4b03e4e26a4d25549581abcf7df22b60a2bccf823a51bf270051fe18d489
-DIST bazelbuild-rules_swift.0.9.0.tar.gz 105918 BLAKE2B 8f1bd8f5a468e3b37c614cf498a6cd8ceca55b255d6f096ebf88cd77e95148eab3fb5a128ed93b40f6d1ee8988b8dfd300fdf7061fc4ed4f1fb4ab25446ebe58 SHA512 68e985fa30b865317ccf59473cb52873d65159b866a54e35b3fbf83c135f3c750752663e962decbc8ebcd17b5784867d4d4767dd0b706f1182d4715291d8268b
DIST cub-1.8.0.zip 602396 BLAKE2B a5e302a52e04f85ae8e1836c59e799532a8b961a8d10c08fe1241c9045f88e31f1ebda6d26124b85c6df40968e1c7b3985a39961bf7614535aafcab2da1a576a SHA512 6167c5be94989f88e05a07508cf69cf2c6b22a5ac733804043daa46bd86a44a15a758b1ffb811bab28b82039d027516ed85b3d9f7677a740a7e00ec9c2f81aed
DIST eigen-049af2f56331.tar.gz 2485848 BLAKE2B 9d8a91782c9d40b7a6df101d2f43df25b5a3622bc02a7b9576929afb1f2f3d7c8b80671d24f1e31670883003b60c4cc0f3c9dadff0430d2ee047eb5122805edd SHA512 ab37106e9dfebbb42d7919c16b301887607080345b7ed63c8e3b8568489cfdc2c3ca0117a77905162cb3ba8324753040c841d2c96521fa4b9486f0778f1962df
DIST eigen-49177915a14a.tar.gz 2496808 BLAKE2B 4e89b72a2ca121e9d1951a7179434c9eb70104ad45e63ae9811e10e28e32d51386acd2fe6938970404dcada8a377d1b3c07a68a98a68a036a6e85b2cf9ff4b48 SHA512 eb036225b41ffd8cc61ef99d2d22030c0d1e0f87eefcea4dd2b1fdb16a5316e0f4f17527983a00a8a684067654bf1f87c82cfaed5764829778660485ebbfa4b5
-DIST eigen-8071cda5714d.tar.gz 2486211 BLAKE2B d5c2bc19d66b4e8508e260ba34a7ebf64c605d0eba3363bf853baaf1329ded80511ee36d54db3e8921eb62a0eab3c3ad2a2d4eac39b5108c2415b20812d998c0 SHA512 364691a5db9d2bd4285e5d5d9b9b2326ffd2138868c33bc2b98975da2aeee03bec7b40654ecc20e0ecc34b2a6d45257c7b9f0055b7310c590cac4c951c2aa635
-DIST eigen-a0d250e79c79.tar.gz 2468318 BLAKE2B 8799adc1a13612820251cd22a7ddc347ee4711d583561a5df9735bd22ab727c0d8e7fdc894cd7e83b3b972d5adcb86f033bc089e1a4de5fe4e6257f78df88957 SHA512 864646a0b3fd8287fbf6943f4cc7f692a883e6164add21c97e98372641b32e5ceffadc825178b9d11e9504377b837d0e54a264b7a53b28e4f9fc2a23c616d2b3
DIST eigen-afc120bc03bd.tar.gz 2546157 BLAKE2B 72e051d77cd22c26a4203cf244e87b1700b4dce664d7ee5f80d0dd86eb5557c93e57c50664f1d79b13796a77c5ccdf72203ec66e9376d383b5a3b056326c7b61 SHA512 61f57a22d2a7947c14cfde87946dc41528df696884502a13000ee5c9b964672a5a8d8c10f505f28ed7a2d39deb820c6818d191dc3ce13215b8b9775b33da2ed8
DIST farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz 467122 BLAKE2B 8b9dd426f4b9f732df6c8c09d868d1b1cc006c395b1525c46ea91c75318b723358c8e64bb0d86a73aace2032eded93f0d80cc7c2c77fddd6a39e3402ab4f2cb7 SHA512 7f5110514a8cdc7ce48d33fd94ad67d96a24e42e11b203e4d0986f4190545f051b2a63f8e09f2ac38c3aa4a5c62d9a0e02cd8ce02045037381fb62a99f0dcd00
DIST gemmlowp-12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip 935628 BLAKE2B 09bd1dd1e367b1e5c4fe9a9525449c09460f19168bc03c57ad563aa27ec74a18f08b620a3dab6da4fa1a1448cdc7ce8bc8a089becc033b53fff4cc07593315ce SHA512 bd42a364f718f3b077cd9c840d626bfc1fd92ace98ce43329d8fa54700c9d28cb47568b6567e9b081b340af7be621c44be1ce06d4b8dccc4fb5d82c35b12f951
@@ -28,17 +22,10 @@ DIST llvm-7a7e03f906aada0cf4b749b51213fe5784eeff84.tar.gz 50144723 BLAKE2B b7447
DIST llvm-b7d166cebcf619a3691eed3f994384aab3d80fa6.tar.gz 49997477 BLAKE2B 66cbd71a4ad65768fb39fd622efd54a7821b83eb105871e82e0b99074960cb4ebd8197ef984b0be29d5178a7ce3c0d4839d2d611c96fe1507227f7f28fd7e156 SHA512 79c6d4986cedfc132f085d2794f295fdbefa772cb53d3870963d4851ea15ce8e2863aa50c903930abaff53d818ad97acfe8acd1c923ccbe26e3a99ac2397ae9f
DIST llvm-ecc999101aadc8dc7d4af9fd88be10fe42674aa0.tar.gz 115788302 BLAKE2B ea18d6cb3cc8311a78e543996d88831e1ecf1dec58b7c890a80cd8fce86e1c52244b9cfc0d7ce0867480465c2d914555c16cf003bfdcf90056d63e8f4e0ea0c0 SHA512 5422762ffe1022ad4588bcf2bdce1a041c37b5edffed70fcefdd911b2dbf8b52cba9ec57670d48d7b69be6b71e354d333d6eaa5ac5260df56ed8ab18fd98fe88
DIST nvidia-nccl-0ceaec9cee96ae7658aa45686853286651f36384.tar.gz 107044 BLAKE2B fd018b1d40977add357e98382f41e3fa6456bdc9a181e2d6cc7a3bc7fb98d242b3216b5ed0c40323bbcc006ab5221b49819ebc1dccd0c8dd700d9504f085eed1 SHA512 e66f323abb68feeec41927cc23e3a85d82fd1b7105a6232626edba95acb9eb22b3fb8b28d1a7adb536c47c936f68271fe5d8f66d3059e3128608ad826dd7622e
-DIST nvidia-nccl-f93fe9bfd94884cec2ba711897222e0df5569a53.tar.gz 95617 BLAKE2B 023788db444b1a50f01ab16f126c920f530a6ff5bf2a9327626db45f985b4093c1024d16d43cdee9f0b3ee5c8b7d104f2a6b1dab0460c6b1998b42a0354f6f27 SHA512 d6b4dd4d6c7c9ca2dcf0699055c9193d4b46c0c5155e0108db38094577c92f954f604b2e83ca320873288e0010eaa3c5812f05f7fafe5112bebbca78e56cb279
-DIST oourafft-20061228.tgz 72213 BLAKE2B 4a3ac2b4c0bc3275b5743df59241e1cdbd0200371c153ddf54ef6c7c4ec523ee6560547e2d5ef9f3200037c0635bf41c18991ac35f271b1e600d0dbd65d1a9a7 SHA512 f1ceac00cb7b9eb8f625eee7f1f5eea8af363343589a344226628d68baf668c176e6c23b7f904c4e682330352eaa0cd5d00731340d208e94c9657b8f85ae2240
DIST oourafft2d-20061228.tgz 54434 BLAKE2B 382dd5787155b877a2ad1d624596afb5dbbe146a7aedf044d7f016949deedac871a512a030b5e6ac9ea5310e216788ffb99af1dd9d2a0de3f1ad72d9e5e7a3db SHA512 af993f68e8e1eb3cb927a51e86da8f74cfafc912a7cd055515e50fe543dd19ab5a6f7b1c2be4a55d6f4a0e5d766ead34c3be4c5705be6353f78cb2a55bd5cf16
DIST pybind11-v2.3.0.tar.gz 564520 BLAKE2B a7c1485aa8f63a00eccd3103cf9f531a080b049be02e6182b30503ae6dd6c55fc517684ed9d92aaec244efd5f77336c68d1ea546833f7f0ae2fd7b090c19a02d SHA512 04542fe9dca2ffdb86c15698a4bbc041446a9f11970092e89a482ae0ff64c932f62fff8f437b98bdaa006c1fccabddd79f0c7e376f27daed2150b1d2f988e8aa
DIST re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz 316237 BLAKE2B 8a975bc3e78b690f70944651c7022c6d946f40b2eb5fe01b2e203141f94b890cf1ad5c72af8e7c6ff3c5242d42af5a8657ed69e3c74d9ac081beb15de6334c0c SHA512 e3e00e92700d08bc55ba0e96148ddf1e00de2d329c1fdac08691ff15976937829f66dbc84af886a4b749ad66ba4ab208d66811e97e33bb9c2d7359735406c450
-DIST rules_docker-b8ff6a85ec359db3fd5657accd3e524daf12016d.tar.gz 460121 BLAKE2B bca31bbdd9069647fa9560002e63a404e2bd4d4ebd19d90e28d08f797f8f63157cc127dab26b996bb976e50f099928a91c1d6343427cb85048c6ca2b47c0c7e2 SHA512 461a663189e5995e31ee8175ee260e1ad06b00ee8a7548b9d3a946a2de693311031ec6eba89e3bad527f5d8f76ed25626ef4ea05a8d6e7579932dc1be3b0a6ba
-DIST tensorflow-1.14.0-python-license.rst.txt 45132 BLAKE2B 8a8ace4b64fd9eda1932272704dd4fea002d2562cd9c2c94470d3ff5de58bb171ff849d3f998ea90cd779d1084d39af1267aca8400b74b701205d2e76e6a2628 SHA512 c79c42f4ceecf33c8f8778ca17b53595b75d5d0bdf30b11058cf01dd70a6351f530ca9dd846460aba14edc1d5876f7bf6fa0f9f49f7915590b0f54d267ce3856
-DIST tensorflow-1.14.0.tar.gz 41335204 BLAKE2B d91d84c5d86c838cc659c45e28cf3c8a9ec9a02f5854a1826680806dae41cdd00ea49a6d2c04f2019b3400c6e267c6ca6f3b28e43b244569dca174ff7f2c59d6 SHA512 ac9ea5a2d1c761aaafbdc335259e29c128127b8d069ec5b206067935180490aa95e93c7e13de57f7f54ce4ba4f34a822face22b4a028f60185edb380e5cd4787
DIST tensorflow-1.15.0-python-license.rst.txt 45132 BLAKE2B 8a8ace4b64fd9eda1932272704dd4fea002d2562cd9c2c94470d3ff5de58bb171ff849d3f998ea90cd779d1084d39af1267aca8400b74b701205d2e76e6a2628 SHA512 c79c42f4ceecf33c8f8778ca17b53595b75d5d0bdf30b11058cf01dd70a6351f530ca9dd846460aba14edc1d5876f7bf6fa0f9f49f7915590b0f54d267ce3856
DIST tensorflow-1.15.0.tar.gz 46183168 BLAKE2B 5ccd87d5b53d6c543728e9c7ef96f12149bd8729620838b07a28f752fd5c57ef88350c2b62e8c44ec3561469eda38d8a64cbfca5e1ac7850674e1dd2c4d605d6 SHA512 f8683a950be6a3fa234d42e0f46bd9e049280e0c1d203c5c00ad44cf4728d894f2c301939d6d71203f815130a1ead53127adcc7565009589ff5aafc878b4dba7
-DIST tensorflow-1.15.0_rc0.tar.gz 46177850 BLAKE2B a4cb339018d04da26993400e99bacbe8c88dd68e17158b3effac125ee90b73d441084d530359912c40d1981c7688511ad41117067428233e9310c1fc8617f1d0 SHA512 f9ba5f2c952b7d8be0f3e2b78336513efa07d5323bc28217335391538577ba2b91687cf92f759d4ec03b02dd1c2961de4b54df205e7952c706f5b632029b7c7d
DIST tensorflow-2.0.0.tar.gz 46176997 BLAKE2B 761e91a774f61b50459240a83fe52f723a76c2cc3eaf7c371684849cb7365b94fb3743ab8de9adffe64bef0f70da2bb0b7e6426a3f402e436eff841d3edefe8d SHA512 c3a2cb9673d2ade8e83961f7d944165123d0e4d94e6ca4d8fdee4f02f536893b879bbbf78d3ad5e557467b58f97f7194f2d9cfc64d7d05540969be732070eecc
DIST tensorflow-2.1.0_rc0.tar.gz 41625131 BLAKE2B bc286f2f8d76a38973706acf3d839a4f54843b2f37ba5485eb149beacd55c7ac13660592acbc2413f8e60242c4a34b90cea8f1d9708d3f086e7cae73cc338832 SHA512 1481af1ed43ff03f6a0eeaad9896e2ec021d763bc69bf03e33353d6188074fdfaa1b6c3bba1d4e2496207f468e6a555fe2c962ae15eddd30ef872a3d76e19911
-DIST tensorflow-patches-1.14.0-r2.tar.bz2 7213 BLAKE2B 51719fc02049d564b7e5c00a76375af9a7e8dfc73753ba5f0d53163dc1fa00d23bb7ed03553a0bce68b8b90cd5bfe21d29e7a57a827db2c68ceef65f3cb0e925 SHA512 35e1a410060cdde99df148bfd06f042b91e021f7a692ae9c0100c67555de553bc248d73db762ed0239117296fb1147e2b67cdf0dd3dc94dee6fe9804c08a7360
diff --git a/sci-libs/tensorflow/files/tensorflow-1.15.0_rc0-0003-python-deps.patch b/sci-libs/tensorflow/files/tensorflow-1.15.0_rc0-0003-python-deps.patch
deleted file mode 100644
index 39fc269b73bc..000000000000
--- a/sci-libs/tensorflow/files/tensorflow-1.15.0_rc0-0003-python-deps.patch
+++ /dev/null
@@ -1,15 +0,0 @@
-diff --git a/tensorflow/tools/pip_package/setup.py b/tensorflow/tools/pip_package/setup.py
-index fec08f66d7..9d5d1f2a3f 100644
---- a/tensorflow/tools/pip_package/setup.py
-+++ b/tensorflow/tools/pip_package/setup.py
-@@ -62,8 +62,8 @@ REQUIRED_PACKAGES = [
- 'opt_einsum >= 2.3.2',
- 'six >= 1.10.0',
- 'protobuf >= 3.6.1',
-- 'tb-nightly >= 1.15.0a20190821, < 1.15.0a20190822',
-- 'tf-estimator-nightly >= 1.14.0.dev2019090401, < 1.14.0.dev2019090402',
-+ 'tensorboard >= 1.15.0',
-+ 'tensorflow_estimator >= 1.15.0',
- 'termcolor >= 1.1.0',
- 'wrapt >= 1.11.1',
- ]
diff --git a/sci-libs/tensorflow/tensorflow-1.14.0-r2.ebuild b/sci-libs/tensorflow/tensorflow-1.14.0-r2.ebuild
deleted file mode 100644
index 058b3c2aa83e..000000000000
--- a/sci-libs/tensorflow/tensorflow-1.14.0-r2.ebuild
+++ /dev/null
@@ -1,340 +0,0 @@
-# Copyright 1999-2019 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=7
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python{3_5,3_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"
-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/a0d250e79c79.tar.gz -> eigen-a0d250e79c79.tar.gz
- https://github.com/abseil/abseil-cpp/archive/daf381e8535a1f1f1b8a75966a74e7cca63dee89.tar.gz -> abseil-cpp-daf381e8535a1f1f1b8a75966a74e7cca63dee89.tar.gz
- https://github.com/bazelbuild/bazel-skylib/archive/0.6.0.tar.gz -> bazel-skylib-0.6.0.tar.gz
- https://github.com/bazelbuild/rules_closure/archive/cf1e44edb908e9616030cc83d085989b8e6cd6df.tar.gz -> bazelbuild-rules_closure-cf1e44edb908e9616030cc83d085989b8e6cd6df.tar.gz
- https://github.com/bazelbuild/rules_swift/releases/download/0.9.0/rules_swift.0.9.0.tar.gz -> bazelbuild-rules_swift.0.9.0.tar.gz
- https://github.com/bazelbuild/rules_docker/archive/b8ff6a85ec359db3fd5657accd3e524daf12016d.tar.gz -> rules_docker-b8ff6a85ec359db3fd5657accd3e524daf12016d.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/nlopezgi/bazel-toolchains/archive/94d31935a2c94fe7e7c7379a0f3393e181928ff7.tar.gz -> bazel-toolchains-94d31935a2c94fe7e7c7379a0f3393e181928ff7.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
- http://mirror.tensorflow.org/docs.python.org/2.7/_sources/license.rst.txt -> tensorflow-1.14.0-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/icu
- >=dev-libs/jsoncpp-1.9
- 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-1.22.0
- 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[${PYTHON_USEDEP}]
- dev-python/google-pasta[${PYTHON_USEDEP}]
- >=dev-python/protobuf-python-3.6.0[${PYTHON_USEDEP}]
- dev-python/six[${PYTHON_USEDEP}]
- dev-python/termcolor[${PYTHON_USEDEP}]
- >=dev-python/grpcio-1.22.0[${PYTHON_USEDEP}]
- >=dev-python/wrapt-1.11.1[${PYTHON_USEDEP}]
- >=net-libs/google-cloud-cpp-0.10.0
- >=sci-libs/keras-applications-1.0.6[${PYTHON_USEDEP}]
- >=sci-libs/keras-preprocessing-1.0.5[${PYTHON_USEDEP}]
- >=sci-visualization/tensorboard-1.13.0[${PYTHON_USEDEP}]
- )"
-DEPEND="${RDEPEND}
- dev-python/mock"
-PDEPEND="python? (
- >=sci-libs/tensorflow-estimator-1.13.0[${PYTHON_USEDEP}]
- )"
-BDEPEND="
- app-arch/unzip
- >=dev-libs/protobuf-3.6.0
- dev-java/java-config
- dev-python/mock
- dev-lang/swig
- dev-python/cython
- || (
- =dev-util/bazel-0.24*
- =dev-util/bazel-0.26*
- =dev-util/bazel-0.27*
- )
- cuda? (
- >=dev-util/nvidia-cuda-toolkit-9.1[profiler]
- )
- !python? ( dev-lang/python )
- python? (
- >=dev-python/grpcio-tools-1.22.0
- )"
-REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
-
-S="${WORKDIR}/${MY_P}"
-
-DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
-CHECKREQS_MEMORY="5G"
-CHECKREQS_DISK_BUILD="5G"
-
-get-cpu-flags() {
- local i f=()
- # Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
- for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
- use cpu_flags_x86_${i} && f+=( -m${i/_/.} )
- done
- use cpu_flags_x86_fma3 && f+=( -mfma )
- echo "${f[*]}"
-}
-
-pkg_setup() {
- local num_pythons_enabled
- num_pythons_enabled=0
- count_impls(){
- num_pythons_enabled=$((${num_pythons_enabled} + 1))
- }
- use python && python_foreach_impl count_impls
-
- # 5 G to build C/C++ libs, 5G per python impl
- CHECKREQS_DISK_BUILD="$((5 + 5 * $num_pythons_enabled))G"
- check-reqs_pkg_setup
-}
-
-src_unpack() {
- # Only unpack the main distfile
- unpack "${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=$(java-config --jre-home) # so keepwork works
-
- do_configure() {
- export CC_OPT_FLAGS=" "
- export TF_ENABLE_XLA=0
- export TF_NEED_OPENCL_SYCL=0
- export TF_NEED_OPENCL=0
- export TF_NEED_COMPUTECPP=0
- export TF_NEED_ROCM=0
- export TF_NEED_MPI=$(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=$(usex cuda 1 0)
- export TF_DOWNLOAD_CLANG=0
- export TF_CUDA_CLANG=0
- export TF_NEED_TENSORRT=0
- if use cuda; then
- export TF_CUDA_PATHS="${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: $TF_CUDNN_VERSION"
- fi
-
- local SYSLIBS=(
- absl_py
- astor_archive
- boringssl
- com_github_googleapis_googleapis
- com_github_googlecloudplatform_google_cloud_cpp
- com_google_protobuf
- com_google_protobuf_cc
- com_googlesource_code_re2
- curl
- cython
- double_conversion
- enum34_archive
- flatbuffers
- gast_archive
- gif_archive
- grpc
- hwloc
- icu
- jpeg
- jsoncpp_git
- keras_applications_archive
- lmdb
- nasm
- nsync
- org_sqlite
- pasta
- pcre
- png_archive
- protobuf_archive
- six_archive
- snappy
- swig
- termcolor_archive
- wrapt
- zlib_archive
- )
-
- export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
- export TF_IGNORE_MAX_BAZEL_VERSION=1
-
- # This is not autoconf
- ./configure || die
-
- echo 'build --config=noaws --config=nohdfs --config=noignite --config=nokafka' >> .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
- 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 ${PN}_cc.pc
-
- for l in libtensorflow{,_framework,_cc}.so; do
- dolib.so bazel-bin/tensorflow/${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-1.15.0_rc0.ebuild b/sci-libs/tensorflow/tensorflow-1.15.0_rc0.ebuild
deleted file mode 100644
index 0c9fba045c52..000000000000
--- a/sci-libs/tensorflow/tensorflow-1.15.0_rc0.ebuild
+++ /dev/null
@@ -1,359 +0,0 @@
-# Copyright 1999-2019 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=7
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python{3_5,3_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="
- http://www.kurims.kyoto-u.ac.jp/~ooura/fft2d.tgz -> oourafft2d-20061228.tgz
- https://bitbucket.org/eigen/eigen/get/8071cda5714d.tar.gz -> eigen-8071cda5714d.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-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz -> bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz
- https://github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz -> bazelbuild-rules_closure-308b05b2419edb5c8ee0471b67a40403df940149.tar.gz
- https://github.com/bazelbuild/rules_docker/releases/download/v0.10.0/rules_docker-v0.10.0.tar.gz -> bazelbuild-rules_docker-v0.10.0.tar.gz
- https://github.com/bazelbuild/rules_swift/releases/download/0.11.1/rules_swift.0.11.1.tar.gz -> bazelbuild-rules_swift.0.11.1.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/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
- https://github.com/nlopezgi/bazel-toolchains/archive/94d31935a2c94fe7e7c7379a0f3393e181928ff7.tar.gz -> bazel-toolchains-94d31935a2c94fe7e7c7379a0f3393e181928ff7.tar.gz
- https://github.com/pybind/pybind11/archive/v2.3.0.tar.gz -> pybind11-v2.3.0.tar.gz
- https://github.com/llvm-mirror/llvm/archive/7a7e03f906aada0cf4b749b51213fe5784eeff84.tar.gz -> llvm-7a7e03f906aada0cf4b749b51213fe5784eeff84.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
- ${bazel_external_uris}"
-
-RDEPEND="
- app-arch/snappy
- dev-db/lmdb
- dev-db/sqlite
- dev-libs/double-conversion
- dev-libs/icu
- ~dev-libs/jsoncpp-1.9.1
- dev-libs/libpcre
- dev-libs/nsync
- dev-libs/openssl:0=
- >=dev-libs/protobuf-3.6.1:=
- >=dev-libs/re2-0.2018.04.01
- 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[${PYTHON_USEDEP}]
- >=dev-python/protobuf-python-3.6.1[${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[${PYTHON_USEDEP}]
- >=sci-libs/keras-preprocessing-1.0.5[${PYTHON_USEDEP}]
- >=sci-visualization/tensorboard-1.15.0[${PYTHON_USEDEP}]
- )"
-DEPEND="${RDEPEND}
- dev-python/mock"
-PDEPEND="python? (
- >=sci-libs/tensorflow-estimator-1.15.0[${PYTHON_USEDEP}]
- )"
-BDEPEND="
- app-arch/unzip
- >=dev-libs/protobuf-3.6.0
- dev-java/java-config
- dev-python/mock
- dev-lang/swig
- dev-python/cython
- || (
- =dev-util/bazel-0.24*
- =dev-util/bazel-0.27*
- )
- cuda? (
- >=dev-util/nvidia-cuda-toolkit-9.1[profiler]
- )
- !python? ( dev-lang/python )
- python? (
- >=dev-python/grpcio-tools-1.22.0
- )"
-REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
-
-S="${WORKDIR}/${MY_P}"
-
-PATCHES=(
- "${FILESDIR}/tensorflow-1.15.0_rc0-0001-WORKSPACE-add-rules-docker-http_archive-bazel-toolch.patch"
- "${FILESDIR}/tensorflow-1.15.0_rc0-0002-systemlibs-unbundle-functools32.patch"
- "${FILESDIR}/tensorflow-1.15.0_rc0-0003-python-deps.patch"
-)
-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 "${f[*]}"
-}
-
-pkg_setup() {
- local num_pythons_enabled
- num_pythons_enabled=0
- count_impls(){
- num_pythons_enabled=$((${num_pythons_enabled} + 1))
- }
- use python && python_foreach_impl count_impls
-
- # 5 G to build C/C++ libs, 5G per python impl
- CHECKREQS_DISK_BUILD="$((5 + 5 * $num_pythons_enabled))G"
- check-reqs_pkg_setup
-}
-
-src_unpack() {
- # Only unpack the main distfile
- unpack "${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=$(usex xla 1 0)
- export TF_NEED_OPENCL_SYCL=0
- export TF_NEED_OPENCL=0
- export TF_NEED_COMPUTECPP=0
- export TF_NEED_ROCM=0
- export TF_NEED_MPI=$(usex mpi 1 0)
- export TF_SET_ANDROID_WORKSPACE=0
-
- if use python; then
- 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=$(usex cuda 1 0)
- export TF_DOWNLOAD_CLANG=0
- export TF_CUDA_CLANG=0
- export TF_NEED_TENSORRT=0
- if use cuda; then
- export TF_CUDA_PATHS="${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
-
- local SYSLIBS=(
- absl_py
- astor_archive
- boringssl
- com_github_googleapis_googleapis
- com_github_googlecloudplatform_google_cloud_cpp
- com_google_protobuf
- com_googlesource_code_re2
- curl
- cython
- double_conversion
- enum34_archive
- flatbuffers
- functools32_archive
- gast_archive
- gif_archive
- grpc
- hwloc
- icu
- jpeg
- jsoncpp_git
- keras_applications_archive
- lmdb
- nasm
- nsync
- opt_einsum_archive
- org_sqlite
- pasta
- pcre
- png_archive
- six_archive
- snappy
- swig
- termcolor_archive
- wrapt
- zlib_archive
- )
-
- export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
- export TF_IGNORE_MAX_BAZEL_VERSION=1
-
- # This is not autoconf
- ./configure || die
-
- echo 'build --config=noaws --config=nohdfs --config=noignite --config=nokafka' >> .bazelrc || die
- echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
- echo 'build --incompatible_no_support_tools_in_action_inputs=false' >> .bazelrc || die
- }
- if use python; then
- python_foreach_impl run_in_build_dir do_configure
- else
- do_configure
- fi
-}
-
-src_compile() {
- export JAVA_HOME=$(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
- python_export PYTHON_SITEDIR PYTHON_SCRIPTDIR
- rm -f "${D}/${PYTHON_SITEDIR}"/${PN}/lib${PN}_framework.so* || die
- rm -f "${D}/${PYTHON_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
-}