summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
authorDavid Seifert <soap@gentoo.org>2021-09-24 11:59:43 +0200
committerDavid Seifert <soap@gentoo.org>2021-09-24 11:59:43 +0200
commit24b614c26fb1eccec7f16a24070d324e250dea8a (patch)
tree53e3243f50303efb7d8c0f0c7a769bc879fd3d79 /sci-libs/tensorflow
parentsci-libs/tensorflow: update cuda deps (diff)
downloadgentoo-24b614c26fb1eccec7f16a24070d324e250dea8a.tar.gz
gentoo-24b614c26fb1eccec7f16a24070d324e250dea8a.tar.bz2
gentoo-24b614c26fb1eccec7f16a24070d324e250dea8a.zip
sci-libs/tensorflow: drop 2.4.0, 2.5.0
Signed-off-by: David Seifert <soap@gentoo.org>
Diffstat (limited to 'sci-libs/tensorflow')
-rw-r--r--sci-libs/tensorflow/Manifest10
-rw-r--r--sci-libs/tensorflow/tensorflow-2.4.0.ebuild401
-rw-r--r--sci-libs/tensorflow/tensorflow-2.5.0.ebuild410
3 files changed, 0 insertions, 821 deletions
diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest
index 263bf06e475e..ff0e11a9eb46 100644
--- a/sci-libs/tensorflow/Manifest
+++ b/sci-libs/tensorflow/Manifest
@@ -1,11 +1,9 @@
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-6f9d96a1f41439ac172ee2ef7ccd8edf0e5d068c.tar.gz 1785034 BLAKE2B 83cee194b416fff3d6ec3f4c02b4210a60ebfcf0316524fe9deb94372bfc34f33075fa59e2e71d8bb17c32f61a6e324072651c2bbf382d3d4a7540657b8a33a8 SHA512 f64fee62863f2103c1991136fd3bc2b71cd28c7ff62138ac991b5a7f81780a05e0e2bdd6a119d02e1d70dd54f989f584093957efaec94f26c9d6c3f4ee37f8ae
-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-1.0.3.tar.gz 30711 BLAKE2B 86d6db9be4e627f6695329e16e8f9b6c2d0d683142a15f62c6924941405ab1d12292818ebf16642fc8d2664b0f113a35e002210034e80de14726387fcdafd765 SHA512 e28e62214b6c1e6724d26ebbee7c0b436b13e7b054d598788c15f03a56d248378068f5d29fae722a19d4519e2568983011ff50a13577dbc1bd174464ef4a49cc
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-rules_android-v0.1.1.zip 14654 BLAKE2B 1cfd5af08c6eab9602883f62d85ef1b9eb02383f73dcc31ae84af880c9ba228ae349ac6b017c550286e248347193e2c56eba30c86174432429809447dd940ed2 SHA512 80628a5e2ca9806ab031cd0c2f2999bd67f5621a83e8300a51fe6233373bdaf7c90ff8fa9551c81e60fc904c4d7b24554327ac8ed2ee101e92c4ab9319c53f4a
DIST bazelbuild-rules_cc-01d4a48911d5e7591ecb1c06d3b8af47fe872371.zip 171775 BLAKE2B ec0ece4555d779bc8380937baac517a8adf3b0176c4bfb1324943a91366ad9688f528a4bd69e4587bcc4ad427c71a53016a3e2d32a050d9d4ec99caac4967a8e SHA512 5c5e82f276c1c962fbd9c7ddf21df9aa4291f3285f3fa07cd2c2790475ccba670b0627fc3d6faedd1508eca4d80bdae64a31383f001f04f3031112be81c3e697
DIST bazelbuild-rules_closure-308b05b2419edb5c8ee0471b67a40403df940149.tar.gz 464906 BLAKE2B 033d76b8081f4f987e64875ad5c8e7b8f894ec6be58c52ee02c4d31d4480fee02f3f432ea9c4630ad3f5d1163f820aff37f6493da797ec51b148b361ab3c8b25 SHA512 2cd841f4530503ed31fa6425cb749ef29f8a1071b5d55594644303233e58455783cb02402bc23d7104ef036745733087d43075a1fcdab2ac96cd1a9872a6ea4a
@@ -17,29 +15,21 @@ DIST bazelbuild-rules_swift-3eeeb53cebda55b349d64c9fc144e18c5f7c0eb8.tar.gz 1404
DIST cub-1.9.9.zip 619595 BLAKE2B 265b797a906b03da886de88863236c9ab90daa31498ddf848fcaf5e5ee1342614ad9a41618120ca09cc4c0da3e96eeec5e20ca9d7ba3f9860c507f06d15e59e1 SHA512 8c9c0a3f66f8d518ec07f857b5625e006d52f28bade1c1478a0f37420e2f7586dc3ff029d551748a1802bb5544b16fde5388e8d5a45d61eec595201b9db7a30d
DIST cudnn-frontend-360d6e7164dfb7c802493fd1c0464f0d815b852a.zip 7781836 BLAKE2B 5fe215bf699c6e64ea29e36535965e86489fbb5d953cd5c4eec74c1f30c0f84008e691337962a4b51128d4066bfc72f48d2561c6eb17be89b2a393080cfbdbaa SHA512 4001c11fecf5f34ebac3f792833b37d4aa1456631f8d5110659548e0329d7a338db9c192f72fc0c54d93217f8c349c4a83392f8cd1cdb79034137a25cd73e005
DIST dlpack-3efc489b55385936531a06ff83425b719387ec63.tar.gz 39637 BLAKE2B 532a3ce3d0e354a73c19433f0210a64ecbf00d9134d06a0ee7462baaff3f2b981524aa630cf250595671d6673105724482c7d69e803179aac247f2020c883bd0 SHA512 3728db5213e887fd946f64ba5dc0c336be9a72a0966ee83f146148749ffc93ddb342e0735df6117d7943874c18f87de5791a28e4a57ea420bb8a4e2a5b7338bc
-DIST eigen-011e0db31d1bed8b7f73662be6d57d9f30fa457a.tar.gz 2667179 BLAKE2B 8e48418615ca95b27c26725c95f0b21202497284ea439ce1d799f1c86e80bc4fcd5951d9e476c9279e1a902da0b4ad029a73bb59ae8fb216508729803598a566 SHA512 cea21877a0aa1a0c1f0bde32494a3f4ffea6ae859d2562cb28c8aafacf009fc7754a110be1be3aa92f0959b7d7ab607768a579bf25a68972b14e30f613f2f54c
DIST eigen-f612df273689a19d25b45ca4f8269463207c4fee.tar.gz 2721573 BLAKE2B a6f3fdfd622b11d1dc634518e0c50bac5246c6eb91ad52ba08db6b846a22f74fd151ac0a27d7ea330137cb5a572c41ca6a916796a94919663c46136b634c7ebb SHA512 71ed7b5e1c70a3a3502c9c1901120eebba7a3668f1b13c1e8156ef49e25decc0c2897fd9d729c505530d85842afd3084c615f87e1a43bc7a5f1f12ba34eaed36
DIST farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz 467122 BLAKE2B 8b9dd426f4b9f732df6c8c09d868d1b1cc006c395b1525c46ea91c75318b723358c8e64bb0d86a73aace2032eded93f0d80cc7c2c77fddd6a39e3402ab4f2cb7 SHA512 7f5110514a8cdc7ce48d33fd94ad67d96a24e42e11b203e4d0986f4190545f051b2a63f8e09f2ac38c3aa4a5c62d9a0e02cd8ce02045037381fb62a99f0dcd00
DIST gemmlowp-fda83bdc38b118cc6b56753bd540caa49e570745.zip 936866 BLAKE2B 0977df121a80de979a9996b58a0a8cad157db8d0862b96f95b3be1157cddbc6b40dff4fc7da4ee78f5986cbfff2a67c173155e849e772ae476398c51f3028311 SHA512 4bf036de43f5e0890f66e0b16cd9a0f52911b160f79c9c50cf403454fa9d6040df225d34e02f424da8bb8c5f7f5c002f88f4d232c61503aa825c907ad8742823
DIST highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz 138574 BLAKE2B cecd95039fc31545ced38a1949e7cb31d6f34deef7c8923b573aa7a632576d0a9b60fd24fbc8a40b8a840a7d2442ea28382fe842178a77467772ed4ba8a2cfb6 SHA512 d25162ed266a8c9c00e6978fcf642cf924f03c0d196f971d0d6f6a3454ca7dfc82f758eabd038ac08e0a5dacc51eccb9b674f588f64692f37cb7a17150aefe4f
DIST kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz 44744 BLAKE2B aeea5d23c122417ddb70a44354890242c4fb61c456fba9af79054293a1355939af51a681760ac27be55423f888649fd2826e634422c7e9cb3749a9d7f50ef990 SHA512 30f4fcd351bbcb950a27e2a77ca100ccdfd37deb17a05e7e31c3e8f1c56d7c626ab81bbd7497484e6b512e41f7b1bed714722a194b2218c669b297911101df7b
DIST llvm-1f6a57c1a0fad922e04a2b1f414b092d4b0cd8b0.tar.gz 136085334 BLAKE2B 1f2e920c0e146b0d10f394fe7e0a4fa42c1099f998c68bf7b1d2d8bb0882165c1ab18f872db93bace5a835cea53edd0c0fdc2d3e3864031debfdc8db3c5e6713 SHA512 e7d28cfa9eb1a0d8738431767612136d43a639011bafa4dfdd48ae2c75b3b1864ceb237fe9863355649e0f4bc28062077015335d7dcc2b83c886f5fc24cd41a2
-DIST llvm-f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz 127766458 BLAKE2B 7170f72e131ec672a1d81a8f33284568fc367608d2c5940b435a75cf8596dc71588c942c6d24c47a7e88c391b0c4030df6f18f6d1da15140587c8a9b078cd83c SHA512 6ebee8cece3845875d39678d7fe248c71e7c3463554bf345e03c06985afcdcd2a0052338358764ba366c7ecf72cd97703cb06613aeddec3110cf20c30eb70d25
DIST llvmorg-10.0.1-openmp-10.0.1.src.tar.xz 955492 BLAKE2B 4197ecfb2e3498a95a2ba5923f2b4bdafbab645ddf2d3f1875d39752d3ab7304fb35bce918d2dc6e40e5ea809545ae0907d6bc0b94a3d68b8d96da48f5a62adc SHA512 5b6f6487feaabd2a18ef2bbb1a5f86bb567e264f9fdf56805cfdd3f65f36f21e7c1392ba5170fafb52a395fc1606b277233beba3df31dc2ab825ef8924e7a05a
-DIST nvidia-nccl-195232556936b39b01cc908296e1650b80d4a3e9.tar.gz 147607 BLAKE2B 4109d195e646d5d492ff0533aea4d95fca59e5fb97aee0261c1b6d1f4615c1e6facb54b14bd4d1fc710b938c0edeca72b528e9e91e57d4bffa3b28af909449f4 SHA512 e45f0e07fdfdfc859f1e5ac05224977af821c99b0d9e11c71e9983612e621f55272a8836049ca61fe26f7663c4f8180102684143403ab46be73fbc8ba15e0c56
DIST nvidia-nccl-v2.8.3-1.tar.gz 203650 BLAKE2B 2b4995aa04b0b204c7315420b6d130c90baadf78f709b82352701c29116fbf053878e62623b6949ab114051a4df828536764bbe9374ab817af9a56879d7d8f08 SHA512 9a17b570ebda54116b1292899e086724c57c7b8ef03f8c529f760f79294cb710f599c2fddc29ab6bc4b843271af9e824dd1af1e705b98fdcbc201f737490d8f3
DIST oneDNN-v2.2.tar.gz 9529895 BLAKE2B 63975f8ff4763732b9b45ad96b97053b8b9edd20beec1aaa0bb81e81493e9740e7d0aa04b221e52ccbcd403877a7e4e556b2826640b3cf28149c2af0f449fd41 SHA512 9ff7f6706a176057fdaed3a453639bb3bef7c94b6d275d90401bf310ee7ee11262f3cd2b0b67476d27c90ce91bbbb3ac3765a82c1117649f1832d33a838f7d66
DIST pytorch-cpuinfo-5916273f79a21551890fd3d56fc5375a78d1598d.zip 3787933 BLAKE2B 169620d461103f271ae927d84af27282189509b2ba2fbed2c09f9ae387b5f392eea635dfdf2d3a23e1fc19b5d467bee3f13d3e473946e42bba4b6a9a2fd60e32 SHA512 6f1c8c931b62990ab0228679efb52207a6e21cb847139c11bf6117051b7315ff87c12ed1373670d006f0bc7e3d390d59f2d28a8250d0bd7df850583ae42afdf2
-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
DIST ruy-54774a7a2cf85963777289193629d4bd42de4a59.zip 363561 BLAKE2B 81ff61f1a125c99f7bc8c2f4e03909036a759543cf56774dc872db5987ed4ef099b376597acc2f07758c4813933e7b27fe336281bc05da19f284fb085492ade2 SHA512 b15b6e0464f7612276bc8b198341653e3b72b5e166132a5107f825d4c4612e179018f92a16f7a41490d176bb138417b18a6f1b7fc165c4e829d889808cb89276
-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-2.4.0.tar.gz 53257138 BLAKE2B 21973f67a7a4cb91baccbd3a4d9c8bce4c7f488ed44e834122b0fa0fc47b22d48276ecd9b580fa839c32a3dacac73bc010f91a27e5568df4dd9986b14b7eeb4f SHA512 4860c148fd931c4dc7c558128e545e2b6384e590a3fbc266a5bfe842a8307f23f1f7e0103bda3a383e7c77edad2bb76dec02da8be400a40956072df19c5d4dbd
DIST tensorflow-2.5.0.tar.gz 55999506 BLAKE2B 0f1f29ed9ff6e5fd3fc0c98419bca636f48085810f934290885b3469c45817b2ce17e9dbd3d93d70b09ec7975088edd0973f147449f527a8f2e23b388e2592ce SHA512 637c63b1bed1c0eb7bb018f1ff7f29f7f0d78e75dac384df4ecb5dfb92bbcb28209e3d3d2204145abddf88e3247d8c31bbb4cea032a73b7122b2ef3eb0d2b947
-DIST tensorflow-patches-2.4.0.tar.bz2 1842 BLAKE2B ac35a02e3494b0cb6cfcc9212557d5b5480aea41b09d74b918471e688b489bafd2dbc609320abde609a461db1c8d0043fce4053ad9a223bc93fb883176417199 SHA512 39b3ebe710eb3bb5c4575dbbad66ae1bd2a81b803fb9007709154320eaf31cbac213ea5dc6c2e674e685db1cea5ff524f723f3893dfe5f31af32be7756882b28
DIST tensorflow-patches-2.5.0-r1.tar.bz2 5180 BLAKE2B aafebb5cc4616ad93982e0fd8299f91c22063b96841b920a98a4cb54bcdc0cad51011f943ca62055239a0c21ed69d1f5b985710dcf0c28346b7ba12114583842 SHA512 38acd53136f3f1e061b71624cc5a1cefbdcb1d897b7728bc93462e8f52e998c3d72453ca9c94fa53dd28279cae5c591b7cbe9f61684784ff94c451a641524f31
-DIST tensorflow-patches-2.5.0.tar.bz2 4834 BLAKE2B 3e7331bb290db529e32fe6ba0a9fa2f5729fc510b925bc74532eb1bb15f8ecdaa2655cb16229a696e9716d006057badf26392e8fca2695146dc9a491050cb7c2 SHA512 699d16296c4f04e4de540b2eb91122a245cc02233a2b76021646a57d3228688b44a691308b4f1e9d9dc16929e6d2d692540cdeb3f42d2cad2c101d3008c22a33
DIST tensorflow-toolchains-v1.1.10.tar.gz 137512 BLAKE2B 774b22a599070564c0f77ed0da79f6a96359b196dd3007370be885b796c236b9a29c01597507a3049f82cf489824c8016740b778cacb2b8cd859500f9ecb1887 SHA512 1daf4684f5b364a89b3cc475cf2d13d0d0622fc14d2b32d7ad8518932538e716782d755cfcedc98d129a3986bc7c38bfc7854c8ad596891e397510b75ae2f93e
diff --git a/sci-libs/tensorflow/tensorflow-2.4.0.ebuild b/sci-libs/tensorflow/tensorflow-2.4.0.ebuild
deleted file mode 100644
index 7e6fd9bc4b8f..000000000000
--- a/sci-libs/tensorflow/tensorflow-2.4.0.ebuild
+++ /dev/null
@@ -1,401 +0,0 @@
-# Copyright 1999-2021 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=7
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python3_{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/011e0db31d1bed8b7f73662be6d57d9f30fa457a/eigen-011e0db31d1bed8b7f73662be6d57d9f30fa457a.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_android/archive/v0.1.1.zip -> bazelbuild-rules_android-v0.1.1.zip
- 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/f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz -> llvm-f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz
- https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
- https://github.com/google/ruy/archive/5bb02fbf90824c2eb6cd7418f766c593106a332b.zip -> ruy-5bb02fbf90824c2eb6cd7418f766c593106a332b.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/195232556936b39b01cc908296e1650b80d4a3e9.tar.gz -> nvidia-nccl-195232556936b39b01cc908296e1650b80d4a3e9.tar.gz
- https://github.com/NVlabs/cub/archive/1.9.9.zip -> cub-1.9.9.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-3.13.0:=
- >=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-11.1*[profiler] =dev-libs/cudnn-8* )
- )
- )
- 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/dill[${PYTHON_USEDEP}]
- dev-python/flatbuffers[${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-3.3.0[${PYTHON_USEDEP}]
- >=dev-python/protobuf-python-3.13.0[${PYTHON_USEDEP}]
- dev-python/pybind11[${PYTHON_USEDEP}]
- dev-python/six[${PYTHON_USEDEP}]
- dev-python/tblib[${PYTHON_USEDEP}]
- dev-python/termcolor[${PYTHON_USEDEP}]
- dev-python/typing-extensions[${PYTHON_USEDEP}]
- >=dev-python/grpcio-1.28[${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-1.1.2[${PYTHON_USEDEP}]
- >=sci-visualization/tensorboard-2.4.0[${PYTHON_USEDEP}]
- )"
-DEPEND="${RDEPEND}
- python? (
- dev-python/mock
- dev-python/setuptools
- )"
-PDEPEND="python? (
- >=sci-libs/tensorflow-estimator-2.4.0[${PYTHON_USEDEP}]
- )"
-BDEPEND="
- app-arch/unzip
- >=dev-libs/protobuf-3.8.0
- dev-java/java-config
- =dev-util/bazel-3*
- virtual/pkgconfig
- 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 [[ $(cuda-config -s) != *$(gcc-version)* ]]; 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
- tblib_archive
- termcolor_archive
- typing_extensions_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 $($(tc-getPKG_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 $(tc-getPKG_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-2.5.0.ebuild b/sci-libs/tensorflow/tensorflow-2.5.0.ebuild
deleted file mode 100644
index 3e640b929a91..000000000000
--- a/sci-libs/tensorflow/tensorflow-2.5.0.ebuild
+++ /dev/null
@@ -1,410 +0,0 @@
-# Copyright 1999-2021 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=7
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python3_{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/abseil/abseil-cpp/archive/6f9d96a1f41439ac172ee2ef7ccd8edf0e5d068c.tar.gz -> abseil-cpp-6f9d96a1f41439ac172ee2ef7ccd8edf0e5d068c.tar.gz
- https://github.com/bazelbuild/bazel-skylib/releases/download/1.0.3/bazel-skylib-1.0.3.tar.gz
- https://github.com/bazelbuild/bazel-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz -> bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz
- https://github.com/bazelbuild/rules_android/archive/v0.1.1.zip -> bazelbuild-rules_android-v0.1.1.zip
- 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/google/ruy/archive/54774a7a2cf85963777289193629d4bd42de4a59.zip -> ruy-54774a7a2cf85963777289193629d4bd42de4a59.zip
- https://github.com/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz
- https://github.com/llvm/llvm-project/archive/1f6a57c1a0fad922e04a2b1f414b092d4b0cd8b0.tar.gz -> llvm-1f6a57c1a0fad922e04a2b1f414b092d4b0cd8b0.tar.gz
- https://github.com/llvm/llvm-project/releases/download/llvmorg-10.0.1/openmp-10.0.1.src.tar.xz -> llvmorg-10.0.1-openmp-10.0.1.src.tar.xz
- https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
- https://github.com/oneapi-src/oneDNN/archive/v2.2.tar.gz -> oneDNN-v2.2.tar.gz
- https://github.com/petewarden/OouraFFT/archive/v1.0.tar.gz -> OouraFFT-v1.0.tar.gz
- https://github.com/pytorch/cpuinfo/archive/5916273f79a21551890fd3d56fc5375a78d1598d.zip -> pytorch-cpuinfo-5916273f79a21551890fd3d56fc5375a78d1598d.zip
- https://github.com/pytorch/cpuinfo/archive/d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz -> pytorch-cpuinfo-d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz
- https://github.com/tensorflow/toolchains/archive/v1.1.10.tar.gz -> tensorflow-toolchains-v1.1.10.tar.gz
- https://gitlab.com/libeigen/eigen/-/archive/f612df273689a19d25b45ca4f8269463207c4fee/eigen-f612df273689a19d25b45ca4f8269463207c4fee.tar.gz
- cuda? (
- https://github.com/NVIDIA/cudnn-frontend/archive/360d6e7164dfb7c802493fd1c0464f0d815b852a.zip -> cudnn-frontend-360d6e7164dfb7c802493fd1c0464f0d815b852a.zip
- https://github.com/NVlabs/cub/archive/1.9.9.zip -> cub-1.9.9.zip
- https://github.com/nvidia/nccl/archive/v2.8.3-1.tar.gz -> nvidia-nccl-v2.8.3-1.tar.gz
- )
- 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-3.13.0:=
- >=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-11.1*[profiler] =dev-libs/cudnn-8* )
- ( =dev-util/nvidia-cuda-toolkit-11.2*[profiler] =dev-libs/cudnn-8* )
- )
- )
- 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/dill[${PYTHON_USEDEP}]
- dev-python/flatbuffers[${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-3.3.0[${PYTHON_USEDEP}]
- >=dev-python/protobuf-python-3.13.0[${PYTHON_USEDEP}]
- dev-python/pybind11[${PYTHON_USEDEP}]
- dev-python/six[${PYTHON_USEDEP}]
- dev-python/tblib[${PYTHON_USEDEP}]
- dev-python/termcolor[${PYTHON_USEDEP}]
- dev-python/typing-extensions[${PYTHON_USEDEP}]
- >=dev-python/grpcio-1.28[${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-1.1.2[${PYTHON_USEDEP}]
- >=sci-visualization/tensorboard-2.5.0[${PYTHON_USEDEP}]
- )"
-DEPEND="${RDEPEND}
- python? (
- dev-python/mock
- dev-python/setuptools
- )"
-PDEPEND="python? (
- >=sci-libs/tensorflow-estimator-2.5.0[${PYTHON_USEDEP}]
- )"
-BDEPEND="
- app-arch/unzip
- >=dev-libs/protobuf-3.8.0
- dev-java/java-config
- >=dev-util/bazel-3.7.2
- 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" tensorflow/workspace0.bzl || 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=$(java-config --jre-home) # so keepwork works
- export KERAS_HOME="${T}/.keras" # otherwise sandbox violation writing ~/.keras
-
- 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 [[ $(cuda-config -s) != *$(gcc-version)* ]]; 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
- #com_github_googleapis_googleapis
- local SYSLIBS=(
- absl_py
- astor_archive
- astunparse_archive
- boringssl
- 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
- tblib_archive
- termcolor_archive
- typing_extensions_archive
- wrapt
- zlib
- )
-
- export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
- export TF_IGNORE_MAX_BAZEL_VERSION=1
-
- # This is not autoconf
- ./configure || die
-
- echo 'build --config=noaws --config=nohdfs' >> .bazelrc || die
- echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
- echo "build --action_env=KERAS_HOME=\"${T}/.keras\"" >> .bazelrc || die
- echo "build --host_action_env=KERAS_HOME=\"${T}/.keras\"" >> .bazelrc || die
-
- for cflag in $($(tc-getPKG_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=$(java-config --jre-home) # so keepwork works
- export KERAS_HOME="${T}/.keras" # otherwise sandbox violation writing ~/.keras
-
- 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
- export KERAS_HOME="${T}/.keras" # otherwise sandbox violation writing ~/.keras
-
- 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 $(tc-getPKG_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
-}