diff options
author | Jason Zaman <perfinion@gentoo.org> | 2020-08-30 06:04:18 +0800 |
---|---|---|
committer | Jason Zaman <perfinion@gentoo.org> | 2020-08-30 08:25:11 +0800 |
commit | 1b40fafc11d0fa99a1c5b97111b5e23ba421c0b4 (patch) | |
tree | 26ba3df77dac1df8e6746e26e41a9f2a5cb67eb7 /sci-libs | |
parent | sci-libs/tensorflow: Fix build failures in 2.2 (diff) | |
download | gentoo-1b40fafc11d0fa99a1c5b97111b5e23ba421c0b4.tar.gz gentoo-1b40fafc11d0fa99a1c5b97111b5e23ba421c0b4.tar.bz2 gentoo-1b40fafc11d0fa99a1c5b97111b5e23ba421c0b4.zip |
sci-libs/tensorflow: Drop 1.15 and 2.0
Package-Manager: Portage-2.3.103, Repoman-2.3.23
Signed-off-by: Jason Zaman <perfinion@gentoo.org>
Diffstat (limited to 'sci-libs')
6 files changed, 0 insertions, 838 deletions
diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest index 96ff16f223c4..1640aa58f4d7 100644 --- a/sci-libs/tensorflow/Manifest +++ b/sci-libs/tensorflow/Manifest @@ -3,7 +3,6 @@ DIST abseil-cpp-43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz 1281523 BLAKE2B DIST backports.weakref-1.0rc1.tar.gz 7761 BLAKE2B 4cb2554a4b71bb1f8c41a790268511e4b382effc7e0328f74346d086de539a177111de9e2dabac19a44b2a1cdbf59a7425e30eee4caa4bfe66b0ca97f1f460a9 SHA512 f37e9eb0d9060d2e1588a941f623460bd4477d7e180b38b5cd46d9c1db1ee094ae63e4f5eeeb422823bf3d067f46c4124cb124a9e4ddb795bc0bfbc4802ab826 DIST bazel-skylib.0.8.0.tar.gz 72941 BLAKE2B 1928989d3e5dc338fee974c5592a524adb492db172b1d2a849ed5f14f91dbb76606335d369e4b15c4eec41adfe3a23cdc5b4f3b2f1351a5e9c25103c002b96a2 SHA512 4729941cedca8ddb876a621b28221d3c17dbb5dd72af27e55f48274208f21db986c5e7cb8adb742c42124bfa8073eb782b49e2557cb3f3f95ca56833fef925c0 DIST bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz 660374 BLAKE2B 549292aa3ad8a6e01c29391a123f3cbc84d1f714ff9c68bfc6c8df07fa0ba3b19c22e61627f227a8a484f6d7d6c59935fd7560c447559ff5e774ddf1437eefe1 SHA512 83531a2646a9f63557eff6fefaf551ee7e9f0ccdb31374d7a17c35b9f9d844b9b405597972fcd31b2b68e9da312511bbfd9c8fbb75222f5924e1d2500cd1c2a6 -DIST bazel-toolchains-94d31935a2c94fe7e7c7379a0f3393e181928ff7.tar.gz 505681 BLAKE2B f16225eb11859f487335bddca115c9c2a05731f4bfe4240609a47e17b706d9a25b6b363b61404b4d5df0471e4dd9b4b9befbf78dbcb1c7c11e3f590039ff92b2 SHA512 7723baf2c710adb063375a33fd64e3941fae7e98c824764c266d5554cc0b0cbb1c91a5c2a9058bb4c8766ec404ca556199ce22965a6de4baee09cb740b7671c9 DIST bazel_skylib-0.9.0.tar.gz 84644 BLAKE2B 40b69a524e632ea00d34b9cf805b882ac4c549dd465ef37f28e54729ff1b614a7610a4895cede4e0c938edba5b19f781f3c0bfdb62bde628ee0af21d6b679546 SHA512 af4bcb641fed05d15f2d0ffe0e3abdfe9c7a5deb9c53064992d6605d224ded1648b1bdfa293e161028913f9f2c178c68cc38bc16028892ca5b0f52b4e645209d DIST bazelbuild-apple_support.0.7.1.tar.gz 20070 BLAKE2B e72098fc5017e3371b6af0f33f392a42da18376052f30db5dd602c5ccc0176c1ac8002cca3f598845c5cb33406b4fd8d30c5ea47c69add6c530b75dc6566a4b0 SHA512 bbab25c229404123d7d424fa261480cf887c749ae729cc1a00bd6c2554d4b4b3fa81e0eaa670542b3a5d3301f3bd5dcd7727d011ba854f13dbbf4f65895e4b08 DIST bazelbuild-rules_apple.0.18.0.tar.gz 1333446 BLAKE2B c7667e05c236f4de44573707c795d31c980242a2ea6eb69261403e7b1b7cc852d899c9b76cba347df1b1006542f9d532d78586a3bf5f831d37f8f0c0cd79a8eb SHA512 209b21856642b03dc7d54c0c82826224167df7da4c6dda3d29490e0661cdfe35ad9abe763288e0ff80af4d681a361efb22e0ca45ead6fb96fd38f211bcb4435d @@ -13,12 +12,9 @@ DIST bazelbuild-rules_closure-308b05b2419edb5c8ee0471b67a40403df940149.tar.gz 46 DIST bazelbuild-rules_docker-v0.10.0.tar.gz 549649 BLAKE2B e7a537b21138a5c5d9ce360e46238f57c917d2dbf5dd17887607402227cbe7c5d68aead9db0ecdb74c09eed9dac26eb86e004a9020c251152d15beb48be0e0d7 SHA512 7802107f8520c88646728800637cce54dbcefc54aa4361288a5b46e403e41998bc23e16fbe94f23a2ca52e5c33fc255af65846963c2fd0139ca1195435ce1b03 DIST bazelbuild-rules_java-7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip 9422 BLAKE2B bbc45c97551ee8126335b611ffca6574dac843d4db9b3221b10d26487f8eecfe38ba0cd67a4039a3ad921c25fea6294c43e4f4e7a57a060a30791acd6c4f9d39 SHA512 ba06242feb711e7fb6e821fd9ac029248b4f3e466fb1acf971d0db8196f3efe4d114ef137acbe4913073f8cbe8ccab4d47d8bafa21b867b2d6a6d57f5a647f0c DIST bazelbuild-rules_python-0.0.1.tar.gz 2302092 BLAKE2B 1db52eebf2461d779f764f2afdd070d1d0dd65eb2b83ccd98c2831da1784614ca281b114064729a9f257c64eceb62975aac8362d231c84f32abdf19aee7a1852 SHA512 40fa069a4482e2f83e29dc8e109652d14d187b2ec8efdcd36e98d117de93d66a938ed74999b42a2293fcb6eccc0a111cbbcf65c5c155579214bb1b96644280a5 -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 cub-1.8.0.zip 602396 BLAKE2B a5e302a52e04f85ae8e1836c59e799532a8b961a8d10c08fe1241c9045f88e31f1ebda6d26124b85c6df40968e1c7b3985a39961bf7614535aafcab2da1a576a SHA512 6167c5be94989f88e05a07508cf69cf2c6b22a5ac733804043daa46bd86a44a15a758b1ffb811bab28b82039d027516ed85b3d9f7677a740a7e00ec9c2f81aed DIST dlpack-3efc489b55385936531a06ff83425b719387ec63.tar.gz 39637 BLAKE2B 532a3ce3d0e354a73c19433f0210a64ecbf00d9134d06a0ee7462baaff3f2b981524aa630cf250595671d6673105724482c7d69e803179aac247f2020c883bd0 SHA512 3728db5213e887fd946f64ba5dc0c336be9a72a0966ee83f146148749ffc93ddb342e0735df6117d7943874c18f87de5791a28e4a57ea420bb8a4e2a5b7338bc -DIST eigen-049af2f56331.tar.gz 2485848 BLAKE2B 9d8a91782c9d40b7a6df101d2f43df25b5a3622bc02a7b9576929afb1f2f3d7c8b80671d24f1e31670883003b60c4cc0f3c9dadff0430d2ee047eb5122805edd SHA512 ab37106e9dfebbb42d7919c16b301887607080345b7ed63c8e3b8568489cfdc2c3ca0117a77905162cb3ba8324753040c841d2c96521fa4b9486f0778f1962df -DIST eigen-49177915a14a.tar.gz 2496808 BLAKE2B 4e89b72a2ca121e9d1951a7179434c9eb70104ad45e63ae9811e10e28e32d51386acd2fe6938970404dcada8a377d1b3c07a68a98a68a036a6e85b2cf9ff4b48 SHA512 eb036225b41ffd8cc61ef99d2d22030c0d1e0f87eefcea4dd2b1fdb16a5316e0f4f17527983a00a8a684067654bf1f87c82cfaed5764829778660485ebbfa4b5 DIST eigen-4e696901f873a2347f76d931cf2f701e31e15d05.tar.gz 2580537 BLAKE2B 927897c80f3529da40a76ddde26113403926d730fa4539aa9e4121406e8d3852abcfdbc55d178723300e9daa26176f6170db06bb49a59cb190e8c7e6dfdea4dd SHA512 d5461e615044aa94b6ac9ab2815536f4bdf2b9ccfeb578cc7bc62554ba928b4192450f72f1350f3231ed44d2bb90e95218de9a5d0bcee9ec02867499a6dc5db0 DIST eigen-52a2fbbb008a47c5e3fb8ac1c65c2feecb0c511c.tar.gz 2585583 BLAKE2B a2ce9da5f962f891cba748f46ce43667ae2b7fef54d4cc83411eafbc24b331e586c44fb135a2c3597c77fe62b0c8ff1172ae5ce6876f00ddd6f6ef2eca802d9c SHA512 65a73d26474547db83b9b40a133dd2a021e0f5a459104f63124461b4aac28bf3579dc81475441b3576901f28f704d6d4624939b22ecfbfbec896148c4c38da7c DIST farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz 467122 BLAKE2B 8b9dd426f4b9f732df6c8c09d868d1b1cc006c395b1525c46ea91c75318b723358c8e64bb0d86a73aace2032eded93f0d80cc7c2c77fddd6a39e3402ab4f2cb7 SHA512 7f5110514a8cdc7ce48d33fd94ad67d96a24e42e11b203e4d0986f4190545f051b2a63f8e09f2ac38c3aa4a5c62d9a0e02cd8ce02045037381fb62a99f0dcd00 @@ -26,8 +22,6 @@ DIST gemmlowp-12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip 935628 BLAKE2B 09bd1d DIST highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz 138574 BLAKE2B cecd95039fc31545ced38a1949e7cb31d6f34deef7c8923b573aa7a632576d0a9b60fd24fbc8a40b8a840a7d2442ea28382fe842178a77467772ed4ba8a2cfb6 SHA512 d25162ed266a8c9c00e6978fcf642cf924f03c0d196f971d0d6f6a3454ca7dfc82f758eabd038ac08e0a5dacc51eccb9b674f588f64692f37cb7a17150aefe4f DIST kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz 44744 BLAKE2B aeea5d23c122417ddb70a44354890242c4fb61c456fba9af79054293a1355939af51a681760ac27be55423f888649fd2826e634422c7e9cb3749a9d7f50ef990 SHA512 30f4fcd351bbcb950a27e2a77ca100ccdfd37deb17a05e7e31c3e8f1c56d7c626ab81bbd7497484e6b512e41f7b1bed714722a194b2218c669b297911101df7b DIST llvm-387c3f74fd8efdc0be464b0e1a8033cc1eeb739c.tar.gz 115936989 BLAKE2B 624b4a898321e62002cbf3955f844755b3ba6b1c8acf9a310ddac19cf21f9627902eb0b3684e42bac1fe835be972322a5cc667f78a6e2b0e699f956e0cab81e8 SHA512 09ec39ec7a25703bbb47befb406be3de6d15232c971fa186e33dff80192876a827e35523a9782365e26a90abd42b32b9a2ee1443af71cc23cd825b3ff05df629 -DIST llvm-7a7e03f906aada0cf4b749b51213fe5784eeff84.tar.gz 50144723 BLAKE2B b744756c9782e5506fd6628531409e305bd9ce9a79f1776c4fe674cec5b01a86ab1793dc602f704d295587c3d769d622402a4fe07c0d66269c7f610178693bce SHA512 43f185c8dd38ae7cb048bb9c98fb94e1f43ce66764b43a7141a06a1a0b011389fa139f34b7eaee72c39b8f44aeeff3e7a2189c11d10f8f8a93e9792a1acf2b5f -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-3701130b3c1bcdb01c14b3cb70fe52498c1e82b7.tar.gz 123898 BLAKE2B 9a268e089877fde9ac900b43bbf829f7dedfa701b017568647e3564670d5457dc18c96846a2cc8674b243c0c7d97d322e7466167c322588af3ad4f2d189b175b SHA512 9b090a963213eb088edf247e72b51a6cc79669f507831b88205c75a006a43f3d2257c4e75a34c33987c7d95c421e2273642db4c716b02907e8de1b1ef5d080f0 @@ -36,8 +30,6 @@ DIST pybind11-v2.3.0.tar.gz 564520 BLAKE2B a7c1485aa8f63a00eccd3103cf9f531a080b0 DIST re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz 316237 BLAKE2B 8a975bc3e78b690f70944651c7022c6d946f40b2eb5fe01b2e203141f94b890cf1ad5c72af8e7c6ff3c5242d42af5a8657ed69e3c74d9ac081beb15de6334c0c SHA512 e3e00e92700d08bc55ba0e96148ddf1e00de2d329c1fdac08691ff15976937829f66dbc84af886a4b749ad66ba4ab208d66811e97e33bb9c2d7359735406c450 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-1.15.0.tar.gz 46183168 BLAKE2B 5ccd87d5b53d6c543728e9c7ef96f12149bd8729620838b07a28f752fd5c57ef88350c2b62e8c44ec3561469eda38d8a64cbfca5e1ac7850674e1dd2c4d605d6 SHA512 f8683a950be6a3fa234d42e0f46bd9e049280e0c1d203c5c00ad44cf4728d894f2c301939d6d71203f815130a1ead53127adcc7565009589ff5aafc878b4dba7 -DIST tensorflow-2.0.0.tar.gz 46176997 BLAKE2B 761e91a774f61b50459240a83fe52f723a76c2cc3eaf7c371684849cb7365b94fb3743ab8de9adffe64bef0f70da2bb0b7e6426a3f402e436eff841d3edefe8d SHA512 c3a2cb9673d2ade8e83961f7d944165123d0e4d94e6ca4d8fdee4f02f536893b879bbbf78d3ad5e557467b58f97f7194f2d9cfc64d7d05540969be732070eecc DIST tensorflow-2.1.0.tar.gz 41637803 BLAKE2B 63aac95cdb71097d2e7a257a691a2b51703fb22d2535395494adebfae0d3f97f8dd9e0deaadf1c2f3d3d26138066a7c6fb9b9728b5b0ac3d54360d7b5e4bebff SHA512 6d09ba3c097e4b3d712e7164d649841572c418d56c207eea6d31e3b1851b84ce57e82801d9887d84cfd8fcf990a3ea4c4b4b05265f8d625509986412c230c3c6 DIST tensorflow-2.2.0.tar.gz 42100791 BLAKE2B 8b773ae9945ca267af33a34d86f6aef02310976bea1cdd98858d1405e8da845640b72a073b71fcfccb2b73f08600a5eada2c2332a8d9480bba71e9f25dbb2220 SHA512 94a2663497d333d543f363e9fea94fbcfdcdbbc0dfbaf009ba9181a808713aeb78f9b8805f56bea5fd3925a36f105427b3996795750589f378d8afbdadc2b86d DIST tensorflow-patches-2.1.0.tar.bz2 5737 BLAKE2B 67f5004312389ed19e810aad9f2d5d4839d806b5a7422963520e0dff06b91346683647db757ac463af13ca70861a7ed9c94be242910abacc6be350e162947225 SHA512 a20bfb619d59e0d2741a27ce36e3d38dbb7a5a706d6bc56f8aa94b5b72288139ad301fc06390b128ef1c3a88b758d09d0224351590dedcda9c5309cc55af6fed diff --git a/sci-libs/tensorflow/files/tensorflow-1.15.0_rc0-0001-WORKSPACE-add-rules-docker-http_archive-bazel-toolch.patch b/sci-libs/tensorflow/files/tensorflow-1.15.0_rc0-0001-WORKSPACE-add-rules-docker-http_archive-bazel-toolch.patch deleted file mode 100644 index 08c7458f7700..000000000000 --- a/sci-libs/tensorflow/files/tensorflow-1.15.0_rc0-0001-WORKSPACE-add-rules-docker-http_archive-bazel-toolch.patch +++ /dev/null @@ -1,38 +0,0 @@ -From 9a44d8e10d726cae992e611575b9dcb1627beede Mon Sep 17 00:00:00 2001 -From: Jason Zaman <jason@perfinion.com> -Date: Wed, 11 Sep 2019 12:08:34 +0800 -Subject: [PATCH 1/2] WORKSPACE: add rules-docker http_archive, - bazel-toolchains uses git_repo - -git_repository() rules cannot pull from --distdir and fail when building -without internet access. Use http_archive instead and pin the sha256 -hash as well. - -Signed-off-by: Jason Zaman <jason@perfinion.com> ---- - WORKSPACE | 9 +++++++++ - 1 file changed, 9 insertions(+) - -diff --git a/WORKSPACE b/WORKSPACE -index 74ea14d0fd..ccff2ba30f 100644 ---- a/WORKSPACE -+++ b/WORKSPACE -@@ -12,6 +12,15 @@ http_archive( - ], - ) - -+http_archive( -+ name = "io_bazel_rules_docker", -+ sha256 = "7d453450e1eb70e238eea6b31f4115607ec1200e91afea01c25f9804f37e39c8", -+ strip_prefix = "rules_docker-0.10.0", -+ urls = [ -+ "https://github.com/bazelbuild/rules_docker/releases/download/v0.10.0/rules_docker-v0.10.0.tar.gz", -+ ], -+) -+ - # Load tf_repositories() before loading dependencies for other repository so - # that dependencies like com_google_protobuf won't be overridden. - load("//tensorflow:workspace.bzl", "tf_repositories") --- -2.21.0 - diff --git a/sci-libs/tensorflow/files/tensorflow-1.15.0_rc0-0002-systemlibs-unbundle-functools32.patch b/sci-libs/tensorflow/files/tensorflow-1.15.0_rc0-0002-systemlibs-unbundle-functools32.patch deleted file mode 100644 index f8b72daddfc4..000000000000 --- a/sci-libs/tensorflow/files/tensorflow-1.15.0_rc0-0002-systemlibs-unbundle-functools32.patch +++ /dev/null @@ -1,61 +0,0 @@ -From 05f57f785aeb58146b3873d4a0c614d897c56293 Mon Sep 17 00:00:00 2001 -From: Jason Zaman <jason@perfinion.com> -Date: Wed, 11 Sep 2019 18:18:42 +0800 -Subject: [PATCH 2/2] systemlibs: unbundle functools32 - -Signed-off-by: Jason Zaman <jason@perfinion.com> ---- - tensorflow/workspace.bzl | 1 + - third_party/systemlibs/functools32.BUILD | 15 +++++++++++++++ - third_party/systemlibs/syslibs_configure.bzl | 1 + - 3 files changed, 17 insertions(+) - create mode 100644 third_party/systemlibs/functools32.BUILD - -diff --git a/tensorflow/workspace.bzl b/tensorflow/workspace.bzl -index d9fadc1030..760b7cd905 100755 ---- a/tensorflow/workspace.bzl -+++ b/tensorflow/workspace.bzl -@@ -325,6 +325,7 @@ def tf_repositories(path_prefix = "", tf_repo_name = ""): - build_file = clean_dep("//third_party:functools32.BUILD"), - sha256 = "f6253dfbe0538ad2e387bd8fdfd9293c925d63553f5813c4e587745416501e6d", - strip_prefix = "functools32-3.2.3-2", -+ system_build_file = clean_dep("//third_party/systemlibs:functools32.BUILD"), - urls = [ - "https://storage.googleapis.com/mirror.tensorflow.org/pypi.python.org/packages/c5/60/6ac26ad05857c601308d8fb9e87fa36d0ebf889423f47c3502ef034365db/functools32-3.2.3-2.tar.gz", - "https://pypi.python.org/packages/c5/60/6ac26ad05857c601308d8fb9e87fa36d0ebf889423f47c3502ef034365db/functools32-3.2.3-2.tar.gz", -diff --git a/third_party/systemlibs/functools32.BUILD b/third_party/systemlibs/functools32.BUILD -new file mode 100644 -index 0000000000..5567ef6943 ---- /dev/null -+++ b/third_party/systemlibs/functools32.BUILD -@@ -0,0 +1,15 @@ -+# Description: -+# functools32 provides a backport of the functools module for Python 2. -+ -+licenses(["notice"]) # Python 2.0 -+ -+package(default_visibility = ["//visibility:public"]) -+ -+filegroup( -+ name = "LICENSE", -+) -+ -+py_library( -+ name = "functools32", -+ srcs_version = "PY2AND3", -+) -diff --git a/third_party/systemlibs/syslibs_configure.bzl b/third_party/systemlibs/syslibs_configure.bzl -index f83c0dd3d5..0884be8416 100644 ---- a/third_party/systemlibs/syslibs_configure.bzl -+++ b/third_party/systemlibs/syslibs_configure.bzl -@@ -22,6 +22,7 @@ VALID_LIBS = [ - "double_conversion", - "enum34_archive", - "flatbuffers", -+ "functools32_archive", - "gast_archive", - "gif_archive", - "grpc", --- -2.21.0 - diff --git a/sci-libs/tensorflow/files/tensorflow-2.1.0-cuda_10.2_support_bin2c.patch b/sci-libs/tensorflow/files/tensorflow-2.1.0-cuda_10.2_support_bin2c.patch deleted file mode 100644 index 4cc2f608d5dc..000000000000 --- a/sci-libs/tensorflow/files/tensorflow-2.1.0-cuda_10.2_support_bin2c.patch +++ /dev/null @@ -1,12 +0,0 @@ -diff --git a/third_party/nccl/build_defs.bzl.tpl b/third_party/nccl/build_defs.bzl.tpl -index 5719139855..5f5c3a1008 100644 ---- a/third_party/nccl/build_defs.bzl.tpl -+++ b/third_party/nccl/build_defs.bzl.tpl -@@ -113,7 +113,6 @@ def _device_link_impl(ctx): - "--cmdline=--compile-only", - "--link", - "--compress-all", -- "--bin2c-path=%s" % bin2c.dirname, - "--create=%s" % tmp_fatbin.path, - "--embedded-fatbin=%s" % fatbin_h.path, - ] + images, diff --git a/sci-libs/tensorflow/tensorflow-1.15.0.ebuild b/sci-libs/tensorflow/tensorflow-1.15.0.ebuild deleted file mode 100644 index 8190ff5d464a..000000000000 --- a/sci-libs/tensorflow/tensorflow-1.15.0.ebuild +++ /dev/null @@ -1,360 +0,0 @@ -# Copyright 1999-2020 Gentoo Authors -# Distributed under the terms of the GNU General Public License v2 - -EAPI=7 - -DISTUTILS_OPTIONAL=1 -PYTHON_COMPAT=( python{3_6,3_7} ) -MY_PV=${PV/_rc/-rc} -MY_P=${PN}-${MY_PV} - -inherit bazel check-reqs cuda distutils-r1 flag-o-matic toolchain-funcs - -DESCRIPTION="Computation framework using data flow graphs for scalable machine learning" -HOMEPAGE="https://www.tensorflow.org/" - -LICENSE="Apache-2.0" -SLOT="0" -KEYWORDS="~amd64" -IUSE="cuda mpi +python xla" -CPU_USE_FLAGS_X86="sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma3 fma4" -for i in $CPU_USE_FLAGS_X86; do - IUSE+=" cpu_flags_x86_$i" -done - -# distfiles that bazel uses for the workspace, will be copied to basel-distdir -bazel_external_uris=" - http://www.kurims.kyoto-u.ac.jp/~ooura/fft2d.tgz -> oourafft2d-20061228.tgz - https://bitbucket.org/eigen/eigen/get/49177915a14a.tar.gz -> eigen-49177915a14a.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*[${PYTHON_USEDEP}] - )" -DEPEND="${RDEPEND} - dev-python/mock" -PDEPEND="python? ( - =sci-libs/tensorflow-estimator-1*[${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" - "${FILESDIR}/tensorflow-1.15.0_rc0-0002-systemlibs-unbundle-functools32.patch" -) -DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md ) -CHECKREQS_MEMORY="5G" -CHECKREQS_DISK_BUILD="5G" - -get-cpu-flags() { - local i f=() - # Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc. - for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do - use cpu_flags_x86_${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 $(get-cpu-flags) - bazel_setup_bazelrc - - if ver_test "$(cuda_toolkit_version)" -ge "10.2"; then - eapply "${FILESDIR}/tensorflow-2.1.0-cuda_10.2_support_bin2c.patch" - fi - - default - use python && python_copy_sources - - use cuda && cuda_add_sandbox -} - -src_configure() { - export JAVA_HOME=$(java-config --jre-home) # so keepwork works - - do_configure() { - export CC_OPT_FLAGS=" " - export TF_ENABLE_XLA=$(usex xla 1 0) - export TF_NEED_OPENCL_SYCL=0 - export TF_NEED_OPENCL=0 - export TF_NEED_COMPUTECPP=0 - export TF_NEED_ROCM=0 - export TF_NEED_MPI=$(usex mpi 1 0) - export TF_SET_ANDROID_WORKSPACE=0 - - if use python; then - export PYTHON_BIN_PATH="${PYTHON}" - export PYTHON_LIB_PATH="$(python_get_sitedir)" - else - export PYTHON_BIN_PATH="$(which python)" - export PYTHON_LIB_PATH="$(python -c 'from distutils.sysconfig import *; print(get_python_lib())')" - fi - - export TF_NEED_CUDA=$(usex cuda 1 0) - export TF_DOWNLOAD_CLANG=0 - export TF_CUDA_CLANG=0 - export TF_NEED_TENSORRT=0 - if use cuda; then - export TF_CUDA_PATHS="${EPREFIX}/opt/cuda" - export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)" - export TF_CUDA_VERSION="$(cuda_toolkit_version)" - export TF_CUDNN_VERSION="$(cuda_cudnn_version)" - einfo "Setting CUDA version: $TF_CUDA_VERSION" - einfo "Setting CUDNN version: $TF_CUDNN_VERSION" - - if [[ -z "$TF_CUDA_COMPUTE_CAPABILITIES" ]]; then - ewarn "WARNING: Tensorflow is being built with its default CUDA compute capabilities: 3.5 and 7.0." - ewarn "These may not be optimal for your GPU." - ewarn "" - ewarn "To configure Tensorflow with the CUDA compute capability that is optimal for your GPU," - ewarn "set TF_CUDA_COMPUTE_CAPABILITIES in your make.conf, and re-emerge tensorflow." - ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TF_CUDA_COMPUTE_CAPABILITIES=7.5,3.5" - ewarn "" - ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus" - ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'" - fi - fi - - 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 - rm -f "${D}/$(python_get_sitedir)"/${PN}/lib${PN}_framework.so* || die - rm -f "${D}/$(python_get_sitedir)"/${PN}_core/lib${PN}_framework.so* || die - python_optimize - } - - if use python; then - python_foreach_impl run_in_build_dir do_install - - # Symlink to python-exec scripts - for i in "${ED}"/usr/lib/python-exec/*/*; do - n="${i##*/}" - [[ -e "${ED}/usr/bin/${n}" ]] || dosym ../lib/python-exec/python-exec2 "/usr/bin/${n}" - done - - python_setup - local BUILD_DIR="${S}-${EPYTHON/./_}" - cd "${BUILD_DIR}" || die - fi - - einfo "Installing headers" - ebazel build //tensorflow:install_headers - ebazel shutdown - insinto /usr/include/${PN}/ - doins -r bazel-genfiles/tensorflow/include/* - - einfo "Installing libs" - # Generate pkg-config file - ${PN}/c/generate-pc.sh --prefix="${EPREFIX}"/usr --libdir=$(get_libdir) --version=${MY_PV} || die - insinto /usr/$(get_libdir)/pkgconfig - doins ${PN}.pc ${PN}_cc.pc - - for l in libtensorflow{,_framework,_cc}.so; do - dolib.so bazel-bin/tensorflow/${l} - dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1) - dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1-3) - done - - einstalldocs -} diff --git a/sci-libs/tensorflow/tensorflow-2.0.0.ebuild b/sci-libs/tensorflow/tensorflow-2.0.0.ebuild deleted file mode 100644 index 4e04d4e51c6d..000000000000 --- a/sci-libs/tensorflow/tensorflow-2.0.0.ebuild +++ /dev/null @@ -1,359 +0,0 @@ -# Copyright 1999-2020 Gentoo Authors -# Distributed under the terms of the GNU General Public License v2 - -EAPI=7 - -DISTUTILS_OPTIONAL=1 -PYTHON_COMPAT=( python{3_6,3_7} ) -MY_PV=${PV/_rc/-rc} -MY_P=${PN}-${MY_PV} - -inherit bazel check-reqs cuda distutils-r1 flag-o-matic toolchain-funcs - -DESCRIPTION="Computation framework using data flow graphs for scalable machine learning" -HOMEPAGE="https://www.tensorflow.org/" - -LICENSE="Apache-2.0" -SLOT="0" -KEYWORDS="~amd64" -IUSE="cuda mpi +python xla" -CPU_USE_FLAGS_X86="sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma3 fma4" -for i in $CPU_USE_FLAGS_X86; do - IUSE+=" cpu_flags_x86_$i" -done - -# distfiles that bazel uses for the workspace, will be copied to basel-distdir -bazel_external_uris=" - https://storage.googleapis.com/mirror.tensorflow.org/www.kurims.kyoto-u.ac.jp/~ooura/fft2d.tgz -> oourafft2d-20061228.tgz - https://bitbucket.org/eigen/eigen/get/049af2f56331.tar.gz -> eigen-049af2f56331.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/b7d166cebcf619a3691eed3f994384aab3d80fa6.tar.gz -> llvm-b7d166cebcf619a3691eed3f994384aab3d80fa6.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-2.0.0[${PYTHON_USEDEP}] - )" -DEPEND="${RDEPEND} - dev-python/mock" -PDEPEND="python? ( - >=sci-libs/tensorflow-estimator-2.0.0[${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" -) -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 "${f[*]}" -} - -pkg_setup() { - ewarn "TensorFlow 2.0 is a major release that contains some incompatibilities" - ewarn "with TensorFlow 1.x. For more information about migrating to TF2.0 see:" - ewarn "https://www.tensorflow.org/guide/migrate" - - local num_pythons_enabled - num_pythons_enabled=0 - count_impls(){ - num_pythons_enabled=$((${num_pythons_enabled} + 1)) - } - use python && python_foreach_impl count_impls - - # 5G to build C/C++ libs, 5G per python impl - CHECKREQS_DISK_BUILD="$((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 - export PYTHON_BIN_PATH="${PYTHON}" - export PYTHON_LIB_PATH="$(python_get_sitedir)" - else - export PYTHON_BIN_PATH="$(which python)" - export PYTHON_LIB_PATH="$(python -c 'from distutils.sysconfig import *; print(get_python_lib())')" - fi - - export TF_NEED_CUDA=$(usex cuda 1 0) - export TF_DOWNLOAD_CLANG=0 - export TF_CUDA_CLANG=0 - export TF_NEED_TENSORRT=0 - if use cuda; then - export TF_CUDA_PATHS="${EPREFIX}/opt/cuda" - export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)" - export TF_CUDA_VERSION="$(cuda_toolkit_version)" - export TF_CUDNN_VERSION="$(cuda_cudnn_version)" - einfo "Setting CUDA version: $TF_CUDA_VERSION" - einfo "Setting CUDNN version: $TF_CUDNN_VERSION" - - if [[ -z "$TF_CUDA_COMPUTE_CAPABILITIES" ]]; then - ewarn "WARNING: Tensorflow is being built with its default CUDA compute capabilities: 3.5 and 7.0." - ewarn "These may not be optimal for your GPU." - ewarn "" - ewarn "To configure Tensorflow with the CUDA compute capability that is optimal for your GPU," - ewarn "set TF_CUDA_COMPUTE_CAPABILITIES in your make.conf, and re-emerge tensorflow." - ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TF_CUDA_COMPUTE_CAPABILITIES=7.5,3.5" - ewarn "" - ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus" - ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'" - fi - fi - - 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 - rm -f "${D}/$(python_get_sitedir)"/${PN}/lib${PN}_framework.so* || die - rm -f "${D}/$(python_get_sitedir)"/${PN}_core/lib${PN}_framework.so* || die - python_optimize - } - - if use python; then - python_foreach_impl run_in_build_dir do_install - - # Symlink to python-exec scripts - for i in "${ED}"/usr/lib/python-exec/*/*; do - n="${i##*/}" - [[ -e "${ED}/usr/bin/${n}" ]] || dosym ../lib/python-exec/python-exec2 "/usr/bin/${n}" - done - - python_setup - local BUILD_DIR="${S}-${EPYTHON/./_}" - cd "${BUILD_DIR}" || die - fi - - einfo "Installing headers" - ebazel build //tensorflow:install_headers - ebazel shutdown - insinto /usr/include/${PN}/ - doins -r bazel-genfiles/tensorflow/include/* - - einfo "Installing libs" - # Generate pkg-config file - ${PN}/c/generate-pc.sh --prefix="${EPREFIX}"/usr --libdir=$(get_libdir) --version=${MY_PV} || die - insinto /usr/$(get_libdir)/pkgconfig - doins ${PN}.pc ${PN}_cc.pc - - for l in libtensorflow{,_framework,_cc}.so; do - dolib.so bazel-bin/tensorflow/${l} - dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1) - dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1-3) - done - - einstalldocs -} |