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sci-libs/tensorflow: bump 2.2.0_rc2
Package-Manager: Portage-2.3.89, Repoman-2.3.20 Signed-off-by: Jason Zaman <perfinion@gentoo.org>
This commit is contained in:
Jason Zaman
@@ -5,28 +5,40 @@ DIST bazel-skylib.0.8.0.tar.gz 72941 BLAKE2B 1928989d3e5dc338fee974c5592a524adb4
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DIST bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz 660374 BLAKE2B 549292aa3ad8a6e01c29391a123f3cbc84d1f714ff9c68bfc6c8df07fa0ba3b19c22e61627f227a8a484f6d7d6c59935fd7560c447559ff5e774ddf1437eefe1 SHA512 83531a2646a9f63557eff6fefaf551ee7e9f0ccdb31374d7a17c35b9f9d844b9b405597972fcd31b2b68e9da312511bbfd9c8fbb75222f5924e1d2500cd1c2a6
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DIST bazel-toolchains-94d31935a2c94fe7e7c7379a0f3393e181928ff7.tar.gz 505681 BLAKE2B f16225eb11859f487335bddca115c9c2a05731f4bfe4240609a47e17b706d9a25b6b363b61404b4d5df0471e4dd9b4b9befbf78dbcb1c7c11e3f590039ff92b2 SHA512 7723baf2c710adb063375a33fd64e3941fae7e98c824764c266d5554cc0b0cbb1c91a5c2a9058bb4c8766ec404ca556199ce22965a6de4baee09cb740b7671c9
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DIST bazel_skylib-0.9.0.tar.gz 84644 BLAKE2B 40b69a524e632ea00d34b9cf805b882ac4c549dd465ef37f28e54729ff1b614a7610a4895cede4e0c938edba5b19f781f3c0bfdb62bde628ee0af21d6b679546 SHA512 af4bcb641fed05d15f2d0ffe0e3abdfe9c7a5deb9c53064992d6605d224ded1648b1bdfa293e161028913f9f2c178c68cc38bc16028892ca5b0f52b4e645209d
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DIST bazelbuild-apple_support.0.7.1.tar.gz 20070 BLAKE2B e72098fc5017e3371b6af0f33f392a42da18376052f30db5dd602c5ccc0176c1ac8002cca3f598845c5cb33406b4fd8d30c5ea47c69add6c530b75dc6566a4b0 SHA512 bbab25c229404123d7d424fa261480cf887c749ae729cc1a00bd6c2554d4b4b3fa81e0eaa670542b3a5d3301f3bd5dcd7727d011ba854f13dbbf4f65895e4b08
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DIST bazelbuild-rules_apple.0.18.0.tar.gz 1333446 BLAKE2B c7667e05c236f4de44573707c795d31c980242a2ea6eb69261403e7b1b7cc852d899c9b76cba347df1b1006542f9d532d78586a3bf5f831d37f8f0c0cd79a8eb SHA512 209b21856642b03dc7d54c0c82826224167df7da4c6dda3d29490e0661cdfe35ad9abe763288e0ff80af4d681a361efb22e0ca45ead6fb96fd38f211bcb4435d
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DIST bazelbuild-rules_cc-01d4a48911d5e7591ecb1c06d3b8af47fe872371.zip 171775 BLAKE2B ec0ece4555d779bc8380937baac517a8adf3b0176c4bfb1324943a91366ad9688f528a4bd69e4587bcc4ad427c71a53016a3e2d32a050d9d4ec99caac4967a8e SHA512 5c5e82f276c1c962fbd9c7ddf21df9aa4291f3285f3fa07cd2c2790475ccba670b0627fc3d6faedd1508eca4d80bdae64a31383f001f04f3031112be81c3e697
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DIST bazelbuild-rules_cc-0d5f3f2768c6ca2faca0079a997a97ce22997a0c.zip 72534 BLAKE2B 0bbcc2b3fefb8df84d9f72b13da59c377fcd657ead378f85f80a587f8750302236212ae5c58819933015e62425126bead0733d2924a567fb9c5cb14fb75271a8 SHA512 1818c555504ba89afff88d75fe8b4e1386b3665a3ad477c26b4e9504c8f52f398b6aaedbad41a4ab8b8d9b3f86e0992e7c83a6da70241685d7b79ba177af1035
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DIST bazelbuild-rules_closure-308b05b2419edb5c8ee0471b67a40403df940149.tar.gz 464906 BLAKE2B 033d76b8081f4f987e64875ad5c8e7b8f894ec6be58c52ee02c4d31d4480fee02f3f432ea9c4630ad3f5d1163f820aff37f6493da797ec51b148b361ab3c8b25 SHA512 2cd841f4530503ed31fa6425cb749ef29f8a1071b5d55594644303233e58455783cb02402bc23d7104ef036745733087d43075a1fcdab2ac96cd1a9872a6ea4a
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DIST bazelbuild-rules_docker-v0.10.0.tar.gz 549649 BLAKE2B e7a537b21138a5c5d9ce360e46238f57c917d2dbf5dd17887607402227cbe7c5d68aead9db0ecdb74c09eed9dac26eb86e004a9020c251152d15beb48be0e0d7 SHA512 7802107f8520c88646728800637cce54dbcefc54aa4361288a5b46e403e41998bc23e16fbe94f23a2ca52e5c33fc255af65846963c2fd0139ca1195435ce1b03
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DIST bazelbuild-rules_java-7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip 9422 BLAKE2B bbc45c97551ee8126335b611ffca6574dac843d4db9b3221b10d26487f8eecfe38ba0cd67a4039a3ad921c25fea6294c43e4f4e7a57a060a30791acd6c4f9d39 SHA512 ba06242feb711e7fb6e821fd9ac029248b4f3e466fb1acf971d0db8196f3efe4d114ef137acbe4913073f8cbe8ccab4d47d8bafa21b867b2d6a6d57f5a647f0c
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DIST bazelbuild-rules_python-0.0.1.tar.gz 2302092 BLAKE2B 1db52eebf2461d779f764f2afdd070d1d0dd65eb2b83ccd98c2831da1784614ca281b114064729a9f257c64eceb62975aac8362d231c84f32abdf19aee7a1852 SHA512 40fa069a4482e2f83e29dc8e109652d14d187b2ec8efdcd36e98d117de93d66a938ed74999b42a2293fcb6eccc0a111cbbcf65c5c155579214bb1b96644280a5
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DIST bazelbuild-rules_swift.0.11.1.tar.gz 107453 BLAKE2B 8cd686b945b5c9de9c8bfcaca38cd7c513bb8b55b4584bc569463997e7c5abcac3be4a5a31ccf95a494d17f3078ec9b1052497dba228fa3159a0c0be2a83eb88 SHA512 3479d6d8ce9111a39b9ef2e014399abc904e432841570dd0380104d80e4d3a74b6ff5cc6d2b250bcd15b152efa29d08f9ed092f70fd8bafa6deaa6f847d7f626
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DIST bazelbuild-rules_swift.0.12.1.tar.gz 111674 BLAKE2B 7c116d6098aa0725034dce4c83628c31c85c36a6331b44636deb2efe0f689a5baee8081b33d65e3727a83bca865bcabedd6f8fa1fdb60e901a9b60840c52c018 SHA512 6136feb3dc0074f82500000cf5335f046f21ea3a1edcb4dcb22228c82b56ed6a334e4b03e4e26a4d25549581abcf7df22b60a2bccf823a51bf270051fe18d489
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DIST cub-1.8.0.zip 602396 BLAKE2B a5e302a52e04f85ae8e1836c59e799532a8b961a8d10c08fe1241c9045f88e31f1ebda6d26124b85c6df40968e1c7b3985a39961bf7614535aafcab2da1a576a SHA512 6167c5be94989f88e05a07508cf69cf2c6b22a5ac733804043daa46bd86a44a15a758b1ffb811bab28b82039d027516ed85b3d9f7677a740a7e00ec9c2f81aed
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DIST dlpack-3efc489b55385936531a06ff83425b719387ec63.tar.gz 39637 BLAKE2B 532a3ce3d0e354a73c19433f0210a64ecbf00d9134d06a0ee7462baaff3f2b981524aa630cf250595671d6673105724482c7d69e803179aac247f2020c883bd0 SHA512 3728db5213e887fd946f64ba5dc0c336be9a72a0966ee83f146148749ffc93ddb342e0735df6117d7943874c18f87de5791a28e4a57ea420bb8a4e2a5b7338bc
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DIST eigen-049af2f56331.tar.gz 2485848 BLAKE2B 9d8a91782c9d40b7a6df101d2f43df25b5a3622bc02a7b9576929afb1f2f3d7c8b80671d24f1e31670883003b60c4cc0f3c9dadff0430d2ee047eb5122805edd SHA512 ab37106e9dfebbb42d7919c16b301887607080345b7ed63c8e3b8568489cfdc2c3ca0117a77905162cb3ba8324753040c841d2c96521fa4b9486f0778f1962df
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DIST eigen-49177915a14a.tar.gz 2496808 BLAKE2B 4e89b72a2ca121e9d1951a7179434c9eb70104ad45e63ae9811e10e28e32d51386acd2fe6938970404dcada8a377d1b3c07a68a98a68a036a6e85b2cf9ff4b48 SHA512 eb036225b41ffd8cc61ef99d2d22030c0d1e0f87eefcea4dd2b1fdb16a5316e0f4f17527983a00a8a684067654bf1f87c82cfaed5764829778660485ebbfa4b5
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DIST eigen-4e696901f873a2347f76d931cf2f701e31e15d05.tar.gz 2580537 BLAKE2B 927897c80f3529da40a76ddde26113403926d730fa4539aa9e4121406e8d3852abcfdbc55d178723300e9daa26176f6170db06bb49a59cb190e8c7e6dfdea4dd SHA512 d5461e615044aa94b6ac9ab2815536f4bdf2b9ccfeb578cc7bc62554ba928b4192450f72f1350f3231ed44d2bb90e95218de9a5d0bcee9ec02867499a6dc5db0
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DIST eigen-52a2fbbb008a47c5e3fb8ac1c65c2feecb0c511c.tar.gz 2585583 BLAKE2B a2ce9da5f962f891cba748f46ce43667ae2b7fef54d4cc83411eafbc24b331e586c44fb135a2c3597c77fe62b0c8ff1172ae5ce6876f00ddd6f6ef2eca802d9c SHA512 65a73d26474547db83b9b40a133dd2a021e0f5a459104f63124461b4aac28bf3579dc81475441b3576901f28f704d6d4624939b22ecfbfbec896148c4c38da7c
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DIST farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz 467122 BLAKE2B 8b9dd426f4b9f732df6c8c09d868d1b1cc006c395b1525c46ea91c75318b723358c8e64bb0d86a73aace2032eded93f0d80cc7c2c77fddd6a39e3402ab4f2cb7 SHA512 7f5110514a8cdc7ce48d33fd94ad67d96a24e42e11b203e4d0986f4190545f051b2a63f8e09f2ac38c3aa4a5c62d9a0e02cd8ce02045037381fb62a99f0dcd00
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DIST gemmlowp-12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip 935628 BLAKE2B 09bd1dd1e367b1e5c4fe9a9525449c09460f19168bc03c57ad563aa27ec74a18f08b620a3dab6da4fa1a1448cdc7ce8bc8a089becc033b53fff4cc07593315ce SHA512 bd42a364f718f3b077cd9c840d626bfc1fd92ace98ce43329d8fa54700c9d28cb47568b6567e9b081b340af7be621c44be1ce06d4b8dccc4fb5d82c35b12f951
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DIST highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz 138574 BLAKE2B cecd95039fc31545ced38a1949e7cb31d6f34deef7c8923b573aa7a632576d0a9b60fd24fbc8a40b8a840a7d2442ea28382fe842178a77467772ed4ba8a2cfb6 SHA512 d25162ed266a8c9c00e6978fcf642cf924f03c0d196f971d0d6f6a3454ca7dfc82f758eabd038ac08e0a5dacc51eccb9b674f588f64692f37cb7a17150aefe4f
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DIST kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz 44744 BLAKE2B aeea5d23c122417ddb70a44354890242c4fb61c456fba9af79054293a1355939af51a681760ac27be55423f888649fd2826e634422c7e9cb3749a9d7f50ef990 SHA512 30f4fcd351bbcb950a27e2a77ca100ccdfd37deb17a05e7e31c3e8f1c56d7c626ab81bbd7497484e6b512e41f7b1bed714722a194b2218c669b297911101df7b
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DIST llvm-387c3f74fd8efdc0be464b0e1a8033cc1eeb739c.tar.gz 115936989 BLAKE2B 624b4a898321e62002cbf3955f844755b3ba6b1c8acf9a310ddac19cf21f9627902eb0b3684e42bac1fe835be972322a5cc667f78a6e2b0e699f956e0cab81e8 SHA512 09ec39ec7a25703bbb47befb406be3de6d15232c971fa186e33dff80192876a827e35523a9782365e26a90abd42b32b9a2ee1443af71cc23cd825b3ff05df629
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DIST llvm-7a7e03f906aada0cf4b749b51213fe5784eeff84.tar.gz 50144723 BLAKE2B b744756c9782e5506fd6628531409e305bd9ce9a79f1776c4fe674cec5b01a86ab1793dc602f704d295587c3d769d622402a4fe07c0d66269c7f610178693bce SHA512 43f185c8dd38ae7cb048bb9c98fb94e1f43ce66764b43a7141a06a1a0b011389fa139f34b7eaee72c39b8f44aeeff3e7a2189c11d10f8f8a93e9792a1acf2b5f
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DIST llvm-b7d166cebcf619a3691eed3f994384aab3d80fa6.tar.gz 49997477 BLAKE2B 66cbd71a4ad65768fb39fd622efd54a7821b83eb105871e82e0b99074960cb4ebd8197ef984b0be29d5178a7ce3c0d4839d2d611c96fe1507227f7f28fd7e156 SHA512 79c6d4986cedfc132f085d2794f295fdbefa772cb53d3870963d4851ea15ce8e2863aa50c903930abaff53d818ad97acfe8acd1c923ccbe26e3a99ac2397ae9f
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DIST llvm-ecc999101aadc8dc7d4af9fd88be10fe42674aa0.tar.gz 115788302 BLAKE2B ea18d6cb3cc8311a78e543996d88831e1ecf1dec58b7c890a80cd8fce86e1c52244b9cfc0d7ce0867480465c2d914555c16cf003bfdcf90056d63e8f4e0ea0c0 SHA512 5422762ffe1022ad4588bcf2bdce1a041c37b5edffed70fcefdd911b2dbf8b52cba9ec57670d48d7b69be6b71e354d333d6eaa5ac5260df56ed8ab18fd98fe88
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DIST nvidia-nccl-0ceaec9cee96ae7658aa45686853286651f36384.tar.gz 107044 BLAKE2B fd018b1d40977add357e98382f41e3fa6456bdc9a181e2d6cc7a3bc7fb98d242b3216b5ed0c40323bbcc006ab5221b49819ebc1dccd0c8dd700d9504f085eed1 SHA512 e66f323abb68feeec41927cc23e3a85d82fd1b7105a6232626edba95acb9eb22b3fb8b28d1a7adb536c47c936f68271fe5d8f66d3059e3128608ad826dd7622e
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DIST nvidia-nccl-3701130b3c1bcdb01c14b3cb70fe52498c1e82b7.tar.gz 123898 BLAKE2B 9a268e089877fde9ac900b43bbf829f7dedfa701b017568647e3564670d5457dc18c96846a2cc8674b243c0c7d97d322e7466167c322588af3ad4f2d189b175b SHA512 9b090a963213eb088edf247e72b51a6cc79669f507831b88205c75a006a43f3d2257c4e75a34c33987c7d95c421e2273642db4c716b02907e8de1b1ef5d080f0
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DIST oourafft2d-20061228.tgz 54434 BLAKE2B 382dd5787155b877a2ad1d624596afb5dbbe146a7aedf044d7f016949deedac871a512a030b5e6ac9ea5310e216788ffb99af1dd9d2a0de3f1ad72d9e5e7a3db SHA512 af993f68e8e1eb3cb927a51e86da8f74cfafc912a7cd055515e50fe543dd19ab5a6f7b1c2be4a55d6f4a0e5d766ead34c3be4c5705be6353f78cb2a55bd5cf16
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DIST pybind11-v2.3.0.tar.gz 564520 BLAKE2B a7c1485aa8f63a00eccd3103cf9f531a080b049be02e6182b30503ae6dd6c55fc517684ed9d92aaec244efd5f77336c68d1ea546833f7f0ae2fd7b090c19a02d SHA512 04542fe9dca2ffdb86c15698a4bbc041446a9f11970092e89a482ae0ff64c932f62fff8f437b98bdaa006c1fccabddd79f0c7e376f27daed2150b1d2f988e8aa
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DIST re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz 316237 BLAKE2B 8a975bc3e78b690f70944651c7022c6d946f40b2eb5fe01b2e203141f94b890cf1ad5c72af8e7c6ff3c5242d42af5a8657ed69e3c74d9ac081beb15de6334c0c SHA512 e3e00e92700d08bc55ba0e96148ddf1e00de2d329c1fdac08691ff15976937829f66dbc84af886a4b749ad66ba4ab208d66811e97e33bb9c2d7359735406c450
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DIST sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz 2569603 BLAKE2B cd66dc8a0b4ad3ea586a79ef588c8d68e4f05b6ea89e6d8119b5ee338b9046c11a747ca57c2f80a3c90fab119c05e85f5965571c9e522ccb8a312b95804d1a36 SHA512 b819d050bb38246b503f1eb3d6e7d878d0f166f3602ae3c327749b1f6ddc2b1d6ac7f768b1f1d055b98b7b98812e4643a75bcebc9728c7f615d67ca739761b3e
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DIST tensorflow-1.15.0-python-license.rst.txt 45132 BLAKE2B 8a8ace4b64fd9eda1932272704dd4fea002d2562cd9c2c94470d3ff5de58bb171ff849d3f998ea90cd779d1084d39af1267aca8400b74b701205d2e76e6a2628 SHA512 c79c42f4ceecf33c8f8778ca17b53595b75d5d0bdf30b11058cf01dd70a6351f530ca9dd846460aba14edc1d5876f7bf6fa0f9f49f7915590b0f54d267ce3856
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DIST tensorflow-1.15.0.tar.gz 46183168 BLAKE2B 5ccd87d5b53d6c543728e9c7ef96f12149bd8729620838b07a28f752fd5c57ef88350c2b62e8c44ec3561469eda38d8a64cbfca5e1ac7850674e1dd2c4d605d6 SHA512 f8683a950be6a3fa234d42e0f46bd9e049280e0c1d203c5c00ad44cf4728d894f2c301939d6d71203f815130a1ead53127adcc7565009589ff5aafc878b4dba7
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DIST tensorflow-2.0.0.tar.gz 46176997 BLAKE2B 761e91a774f61b50459240a83fe52f723a76c2cc3eaf7c371684849cb7365b94fb3743ab8de9adffe64bef0f70da2bb0b7e6426a3f402e436eff841d3edefe8d SHA512 c3a2cb9673d2ade8e83961f7d944165123d0e4d94e6ca4d8fdee4f02f536893b879bbbf78d3ad5e557467b58f97f7194f2d9cfc64d7d05540969be732070eecc
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DIST tensorflow-2.1.0.tar.gz 41637803 BLAKE2B 63aac95cdb71097d2e7a257a691a2b51703fb22d2535395494adebfae0d3f97f8dd9e0deaadf1c2f3d3d26138066a7c6fb9b9728b5b0ac3d54360d7b5e4bebff SHA512 6d09ba3c097e4b3d712e7164d649841572c418d56c207eea6d31e3b1851b84ce57e82801d9887d84cfd8fcf990a3ea4c4b4b05265f8d625509986412c230c3c6
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DIST tensorflow-2.2.0_rc2.tar.gz 42090496 BLAKE2B 016a6dac71d59a4964a78daf0297cc037f104ddc5ace22a093780cb04312660861b50877bd996a92308d3bacb23bf8a25a0606954cd0b8a30943367bda8df4df SHA512 505f03a2e9c57638aaecbcc83fa5b292a038eab9c4777cb75a4ee2c9926cdc3ade565326abd0eb7bf1717972f4a2a20941227afe29b79f0519fd724fbc15d959
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DIST tensorflow-patches-2.1.0.tar.bz2 5737 BLAKE2B 67f5004312389ed19e810aad9f2d5d4839d806b5a7422963520e0dff06b91346683647db757ac463af13ca70861a7ed9c94be242910abacc6be350e162947225 SHA512 a20bfb619d59e0d2741a27ce36e3d38dbb7a5a706d6bc56f8aa94b5b72288139ad301fc06390b128ef1c3a88b758d09d0224351590dedcda9c5309cc55af6fed
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DIST tensorflow-patches-2.2.0_rc2.tar.bz2 8173 BLAKE2B 266eca0eea68e7ac643ae3f2df31fabf327dc84acca14965334875d0ec2eaca64c8b61e52386da6f7240fc58f910fff16eed4b7995f6b028fbef46890f9d8a63 SHA512 a989c7c3ee088c0dc0e6e98aff3e73da90b09dac2a518ec536d77e4e72e7c145a1c7af92ae08ef284251e985324e7b824db52ba1ddb4639cca4c21233f33582f
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369
sci-libs/tensorflow/tensorflow-2.2.0_rc2.ebuild
Normal file
369
sci-libs/tensorflow/tensorflow-2.2.0_rc2.ebuild
Normal file
@@ -0,0 +1,369 @@
|
||||
# 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-1.22.0
|
||||
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[${PYTHON_USEDEP}]
|
||||
dev-python/astunparse[${PYTHON_USEDEP}]
|
||||
>=dev-python/gast-0.3.3[${PYTHON_USEDEP}]
|
||||
>=dev-python/numpy-1.16[${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-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-1.22.0
|
||||
)"
|
||||
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=$(usex mpi 1 0)
|
||||
export TF_SET_ANDROID_WORKSPACE=0
|
||||
|
||||
if use python; then
|
||||
python_export PYTHON_SITEDIR
|
||||
export PYTHON_BIN_PATH="${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
|
||||
|
||||
# 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
|
||||
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-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
|
||||
}
|
||||
Reference in New Issue
Block a user