From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: from lists.gentoo.org (pigeon.gentoo.org [208.92.234.80]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (No client certificate requested) by finch.gentoo.org (Postfix) with ESMTPS id 2F901138359 for ; Fri, 9 Oct 2020 03:41:18 +0000 (UTC) Received: from pigeon.gentoo.org (localhost [127.0.0.1]) by pigeon.gentoo.org (Postfix) with SMTP id C0379E0831; Fri, 9 Oct 2020 03:41:15 +0000 (UTC) Received: from smtp.gentoo.org (mail.gentoo.org [IPv6:2001:470:ea4a:1:5054:ff:fec7:86e4]) (using TLSv1.2 with cipher ECDHE-RSA-AES128-GCM-SHA256 (128/128 bits)) (No client certificate requested) by pigeon.gentoo.org (Postfix) with ESMTPS id 9CA86E0831 for ; Fri, 9 Oct 2020 03:41:15 +0000 (UTC) Received: from oystercatcher.gentoo.org (unknown [IPv6:2a01:4f8:202:4333:225:90ff:fed9:fc84]) (using TLSv1.2 with cipher ECDHE-RSA-AES128-GCM-SHA256 (128/128 bits)) (No client certificate requested) by smtp.gentoo.org (Postfix) with ESMTPS id 326A1340E4D for ; Fri, 9 Oct 2020 03:41:14 +0000 (UTC) Received: from localhost.localdomain (localhost [IPv6:::1]) by oystercatcher.gentoo.org (Postfix) with ESMTP id A826839D for ; Fri, 9 Oct 2020 03:41:12 +0000 (UTC) From: "Jason Zaman" To: gentoo-commits@lists.gentoo.org Content-Transfer-Encoding: 8bit Content-type: text/plain; charset=UTF-8 Reply-To: gentoo-dev@lists.gentoo.org, "Jason Zaman" Message-ID: <1602214801.96446c9edbc678f575d503d66e3703d681da17af.perfinion@gentoo> Subject: [gentoo-commits] repo/gentoo:master commit in: sci-libs/tensorflow/ X-VCS-Repository: repo/gentoo X-VCS-Files: sci-libs/tensorflow/Manifest sci-libs/tensorflow/tensorflow-2.3.1.ebuild X-VCS-Directories: sci-libs/tensorflow/ X-VCS-Committer: perfinion X-VCS-Committer-Name: Jason Zaman X-VCS-Revision: 96446c9edbc678f575d503d66e3703d681da17af X-VCS-Branch: master Date: Fri, 9 Oct 2020 03:41:12 +0000 (UTC) Precedence: bulk List-Post: List-Help: List-Unsubscribe: List-Subscribe: List-Id: Gentoo Linux mail X-BeenThere: gentoo-commits@lists.gentoo.org X-Auto-Response-Suppress: DR, RN, NRN, OOF, AutoReply X-Archives-Salt: 892c861c-21de-461b-a362-03d56ae358cd X-Archives-Hash: c7a6b40d87cc261ccf05ad1935a617b8 commit: 96446c9edbc678f575d503d66e3703d681da17af Author: Jason Zaman gentoo org> AuthorDate: Thu Oct 8 01:55:13 2020 +0000 Commit: Jason Zaman gentoo org> CommitDate: Fri Oct 9 03:40:01 2020 +0000 URL: https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=96446c9e sci-libs/tensorflow: bump 2.3.1 Closes: https://bugs.gentoo.org/739938 Package-Manager: Portage-3.0.4, Repoman-3.0.1 Signed-off-by: Jason Zaman gentoo.org> sci-libs/tensorflow/Manifest | 16 ++ sci-libs/tensorflow/tensorflow-2.3.1.ebuild | 404 ++++++++++++++++++++++++++++ 2 files changed, 420 insertions(+) diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest index 1640aa58f4d..6b74fa6088a 100644 --- a/sci-libs/tensorflow/Manifest +++ b/sci-libs/tensorflow/Manifest @@ -1,36 +1,52 @@ DIST 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gemmlowp-12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip 935628 BLAKE2B 09bd1dd1e367b1e5c4fe9a9525449c09460f19168bc03c57ad563aa27ec74a18f08b620a3dab6da4fa1a1448cdc7ce8bc8a089becc033b53fff4cc07593315ce SHA512 bd42a364f718f3b077cd9c840d626bfc1fd92ace98ce43329d8fa54700c9d28cb47568b6567e9b081b340af7be621c44be1ce06d4b8dccc4fb5d82c35b12f951 +DIST gemmlowp-fda83bdc38b118cc6b56753bd540caa49e570745.zip 936866 BLAKE2B 0977df121a80de979a9996b58a0a8cad157db8d0862b96f95b3be1157cddbc6b40dff4fc7da4ee78f5986cbfff2a67c173155e849e772ae476398c51f3028311 SHA512 4bf036de43f5e0890f66e0b16cd9a0f52911b160f79c9c50cf403454fa9d6040df225d34e02f424da8bb8c5f7f5c002f88f4d232c61503aa825c907ad8742823 DIST highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz 138574 BLAKE2B cecd95039fc31545ced38a1949e7cb31d6f34deef7c8923b573aa7a632576d0a9b60fd24fbc8a40b8a840a7d2442ea28382fe842178a77467772ed4ba8a2cfb6 SHA512 d25162ed266a8c9c00e6978fcf642cf924f03c0d196f971d0d6f6a3454ca7dfc82f758eabd038ac08e0a5dacc51eccb9b674f588f64692f37cb7a17150aefe4f DIST kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz 44744 BLAKE2B aeea5d23c122417ddb70a44354890242c4fb61c456fba9af79054293a1355939af51a681760ac27be55423f888649fd2826e634422c7e9cb3749a9d7f50ef990 SHA512 30f4fcd351bbcb950a27e2a77ca100ccdfd37deb17a05e7e31c3e8f1c56d7c626ab81bbd7497484e6b512e41f7b1bed714722a194b2218c669b297911101df7b DIST llvm-387c3f74fd8efdc0be464b0e1a8033cc1eeb739c.tar.gz 115936989 BLAKE2B 624b4a898321e62002cbf3955f844755b3ba6b1c8acf9a310ddac19cf21f9627902eb0b3684e42bac1fe835be972322a5cc667f78a6e2b0e699f956e0cab81e8 SHA512 09ec39ec7a25703bbb47befb406be3de6d15232c971fa186e33dff80192876a827e35523a9782365e26a90abd42b32b9a2ee1443af71cc23cd825b3ff05df629 +DIST llvm-7e825abd5704ce28b166f9463d4bd304348fd2a9.tar.gz 120301408 BLAKE2B 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nvidia-nccl-3701130b3c1bcdb01c14b3cb70fe52498c1e82b7.tar.gz 123898 BLAKE2B 9a268e089877fde9ac900b43bbf829f7dedfa701b017568647e3564670d5457dc18c96846a2cc8674b243c0c7d97d322e7466167c322588af3ad4f2d189b175b SHA512 9b090a963213eb088edf247e72b51a6cc79669f507831b88205c75a006a43f3d2257c4e75a34c33987c7d95c421e2273642db4c716b02907e8de1b1ef5d080f0 +DIST nvidia-nccl-5949d96f36d050e59d05872f8bbffd2549318e95.tar.gz 147548 BLAKE2B f3d3dd222ae90ac9ac1457a9695f112a21f5652a5b40e10ac049da910f07707b1c3910f59734fbe5e2c6523c1e83f3801f809efa77d122a57e859828c74ba8c2 SHA512 d9ea83caf7940fb47134293236fcb7478c0d4e40365d3b0a29427758e2e2dbb980c5e8c05fc9fc3956ed5e21a82ec0efaa31d973fe9c73fa3f50465f76756131 DIST oourafft2d-20061228.tgz 54434 BLAKE2B 382dd5787155b877a2ad1d624596afb5dbbe146a7aedf044d7f016949deedac871a512a030b5e6ac9ea5310e216788ffb99af1dd9d2a0de3f1ad72d9e5e7a3db SHA512 af993f68e8e1eb3cb927a51e86da8f74cfafc912a7cd055515e50fe543dd19ab5a6f7b1c2be4a55d6f4a0e5d766ead34c3be4c5705be6353f78cb2a55bd5cf16 DIST pybind11-v2.3.0.tar.gz 564520 BLAKE2B a7c1485aa8f63a00eccd3103cf9f531a080b049be02e6182b30503ae6dd6c55fc517684ed9d92aaec244efd5f77336c68d1ea546833f7f0ae2fd7b090c19a02d SHA512 04542fe9dca2ffdb86c15698a4bbc041446a9f11970092e89a482ae0ff64c932f62fff8f437b98bdaa006c1fccabddd79f0c7e376f27daed2150b1d2f988e8aa +DIST pytorch-cpuinfo-6cecd15784fcb6c5c0aa7311c6248879ce2cb8b2.zip 3787039 BLAKE2B 3a529648d548b7570fd38783e5a3915bf3ad82ab028ee11f70fddaf09b8d64dc58f4d32ed54557b9f3087a8bb13ff4fd78b3597df6b1b5d3c3ef65c03193251a SHA512 8b34e580f19494f92796176db3f14680fd1b7b64458c0ef8e71ff1b3f1cbe12204e901167a585c1e04e95fbeaad5de104abc5edf3ea81a0da1c480a99f6bb94b +DIST pytorch-cpuinfo-d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz 3489028 BLAKE2B aa6b7719eb9871b6cc71318cb4a9c2e2397e665662b7978daecd9e8380304691a78b95118eba5cbbb738c4b490352a847f6ce6b5c4ae29de0543b95ecc557cbb SHA512 ecd2115340fa82a67db7889ce286c3070d5ab9c30b02372b08aac893e90ccebc65c6b3e66aa02a9ae9c57892d2d8c3b77cb836e5fc3b88df2c75d33e574d90d2 DIST re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz 316237 BLAKE2B 8a975bc3e78b690f70944651c7022c6d946f40b2eb5fe01b2e203141f94b890cf1ad5c72af8e7c6ff3c5242d42af5a8657ed69e3c74d9ac081beb15de6334c0c SHA512 e3e00e92700d08bc55ba0e96148ddf1e00de2d329c1fdac08691ff15976937829f66dbc84af886a4b749ad66ba4ab208d66811e97e33bb9c2d7359735406c450 +DIST ruy-34ea9f4993955fa1ff4eb58e504421806b7f2e8f.zip 312628 BLAKE2B e42c484092f5e93dee11bc7c6a92ade3b63533d3507fa5a805b16e3508b8a20b7cff734197ab9d8e9b0e67e9648987ccedc19a23deea93bb00269d2fc65424a4 SHA512 d1b5a73feb4cced7ee49e9bacb80f437b0bcde204c3bc082a2729efb1989517ac97d764d6fe00bd66f0d5349d19d9e0593868c8d22369dc38732cd2204419b1d DIST sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz 2569603 BLAKE2B cd66dc8a0b4ad3ea586a79ef588c8d68e4f05b6ea89e6d8119b5ee338b9046c11a747ca57c2f80a3c90fab119c05e85f5965571c9e522ccb8a312b95804d1a36 SHA512 b819d050bb38246b503f1eb3d6e7d878d0f166f3602ae3c327749b1f6ddc2b1d6ac7f768b1f1d055b98b7b98812e4643a75bcebc9728c7f615d67ca739761b3e DIST tensorflow-1.15.0-python-license.rst.txt 45132 BLAKE2B 8a8ace4b64fd9eda1932272704dd4fea002d2562cd9c2c94470d3ff5de58bb171ff849d3f998ea90cd779d1084d39af1267aca8400b74b701205d2e76e6a2628 SHA512 c79c42f4ceecf33c8f8778ca17b53595b75d5d0bdf30b11058cf01dd70a6351f530ca9dd846460aba14edc1d5876f7bf6fa0f9f49f7915590b0f54d267ce3856 DIST tensorflow-2.1.0.tar.gz 41637803 BLAKE2B 63aac95cdb71097d2e7a257a691a2b51703fb22d2535395494adebfae0d3f97f8dd9e0deaadf1c2f3d3d26138066a7c6fb9b9728b5b0ac3d54360d7b5e4bebff SHA512 6d09ba3c097e4b3d712e7164d649841572c418d56c207eea6d31e3b1851b84ce57e82801d9887d84cfd8fcf990a3ea4c4b4b05265f8d625509986412c230c3c6 DIST tensorflow-2.2.0.tar.gz 42100791 BLAKE2B 8b773ae9945ca267af33a34d86f6aef02310976bea1cdd98858d1405e8da845640b72a073b71fcfccb2b73f08600a5eada2c2332a8d9480bba71e9f25dbb2220 SHA512 94a2663497d333d543f363e9fea94fbcfdcdbbc0dfbaf009ba9181a808713aeb78f9b8805f56bea5fd3925a36f105427b3996795750589f378d8afbdadc2b86d +DIST tensorflow-2.3.1.tar.gz 46544608 BLAKE2B c3cb0954fcd060b95d63895cbeeca20f6af29ade999dc43db5fe010d6b33b6f650047d529f174a1663c23440a56e057e2f97c503a4a40bcdac9374b549f3220e SHA512 e497ef4564f50abf9f918be4522cf702f4cf945cb1ebf83af1386ac4ddc7373b3ba70c7f803f8ca06faf2c6b5396e60b1e0e9b97bfbd667e733b08b6e6d70ef0 DIST tensorflow-patches-2.1.0.tar.bz2 5737 BLAKE2B 67f5004312389ed19e810aad9f2d5d4839d806b5a7422963520e0dff06b91346683647db757ac463af13ca70861a7ed9c94be242910abacc6be350e162947225 SHA512 a20bfb619d59e0d2741a27ce36e3d38dbb7a5a706d6bc56f8aa94b5b72288139ad301fc06390b128ef1c3a88b758d09d0224351590dedcda9c5309cc55af6fed DIST tensorflow-patches-2.2.0-r1.tar.bz2 3890 BLAKE2B cf4e0d579992cd09136fe3a11c5016e7b996ea959dad9f3a1ccff2fa623c2c4eab1c6673dfaf08b3b01220fd00c9edd5966e1162049f6d1e4fe5af280f491850 SHA512 8d07c9351b75faf90a137f65c2e6147d884744c5ab9b0bacadfa7bdc7b66ec2ec92920c7d23396bb70f7f4fb290f3f818591f23c6a4e91ab1a79290cb4ea1533 +DIST tensorflow-patches-2.3.1.tar.bz2 11361 BLAKE2B 22ddd827f616e33fd259ce2b7da5cda539d856701ad108d1d3b52d1dab660bcddc809fd9e9db5e6496552df080493b0205b83a58dc32808dc70c60a5878aa8af SHA512 cdfc3407c775f8529cb8eb939b1046a7094ff999b8225e419e2ab4be19ecba6d853ebd8cd2dda77a7f60425a440f4d60bf3afca4a80688f0cba9967e14f8b8fb diff --git a/sci-libs/tensorflow/tensorflow-2.3.1.ebuild b/sci-libs/tensorflow/tensorflow-2.3.1.ebuild new file mode 100644 index 00000000000..b6eaf89429a --- /dev/null +++ b/sci-libs/tensorflow/tensorflow-2.3.1.ebuild @@ -0,0 +1,404 @@ +# Copyright 1999-2020 Gentoo Authors +# Distributed under the terms of the GNU General Public License v2 + +EAPI=7 + +DISTUTILS_OPTIONAL=1 +PYTHON_COMPAT=( python3_{6,7,8} ) +DISTUTILS_USE_SETUPTOOLS=rdepend +MY_PV=${PV/_rc/-rc} +MY_P=${PN}-${MY_PV} + +inherit bazel check-reqs cuda distutils-r1 flag-o-matic prefix toolchain-funcs + +DESCRIPTION="Computation framework using data flow graphs for scalable machine learning" +HOMEPAGE="https://www.tensorflow.org/" + +LICENSE="Apache-2.0" +SLOT="0" +KEYWORDS="~amd64" +IUSE="cuda mpi +python xla" +CPU_USE_FLAGS_X86="sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma3 fma4" +for i in $CPU_USE_FLAGS_X86; do + IUSE+=" cpu_flags_x86_$i" +done + +# distfiles that bazel uses for the workspace, will be copied to basel-distdir +bazel_external_uris=" + https://github.com/petewarden/OouraFFT/archive/v1.0.tar.gz -> OouraFFT-v1.0.tar.gz + https://gitlab.com/libeigen/eigen/-/archive/386d809bde475c65b7940f290efe80e6a05878c4/eigen-386d809bde475c65b7940f290efe80e6a05878c4.tar.gz + https://github.com/abseil/abseil-cpp/archive/df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz -> abseil-cpp-df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz + https://github.com/bazelbuild/bazel-skylib/releases/download/0.9.0/bazel_skylib-0.9.0.tar.gz + https://github.com/bazelbuild/rules_apple/archive/5131f3d46794bf227d296c82f30c2499c9de3c5b.tar.gz -> bazelbuild-rules_apple-5131f3d46794bf227d296c82f30c2499c9de3c5b.tar.gz + https://github.com/bazelbuild/rules_android/archive/v0.1.1.zip -> bazelbuild-rules_android-v0.1.1.zip + https://github.com/bazelbuild/apple_support/archive/501b4afb27745c4813a88ffa28acd901408014e4.tar.gz -> bazelbuild-apple_support-501b4afb27745c4813a88ffa28acd901408014e4.tar.gz + https://github.com/bazelbuild/bazel-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz -> bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz + https://github.com/bazelbuild/rules_cc/archive/01d4a48911d5e7591ecb1c06d3b8af47fe872371.zip -> bazelbuild-rules_cc-01d4a48911d5e7591ecb1c06d3b8af47fe872371.zip + https://github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz -> bazelbuild-rules_closure-308b05b2419edb5c8ee0471b67a40403df940149.tar.gz + https://github.com/bazelbuild/rules_docker/releases/download/v0.10.0/rules_docker-v0.10.0.tar.gz -> bazelbuild-rules_docker-v0.10.0.tar.gz + https://github.com/bazelbuild/rules_java/archive/7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip -> bazelbuild-rules_java-7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip + https://github.com/bazelbuild/rules_proto/archive/97d8af4dc474595af3900dd85cb3a29ad28cc313.tar.gz -> bazelbuild-rules_proto-97d8af4dc474595af3900dd85cb3a29ad28cc313.tar.gz + https://github.com/bazelbuild/rules_python/releases/download/0.0.1/rules_python-0.0.1.tar.gz -> bazelbuild-rules_python-0.0.1.tar.gz + https://github.com/bazelbuild/rules_swift/archive/3eeeb53cebda55b349d64c9fc144e18c5f7c0eb8.tar.gz -> bazelbuild-rules_swift-3eeeb53cebda55b349d64c9fc144e18c5f7c0eb8.tar.gz + https://github.com/dmlc/dlpack/archive/3efc489b55385936531a06ff83425b719387ec63.tar.gz -> dlpack-3efc489b55385936531a06ff83425b719387ec63.tar.gz + https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz -> farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz + https://github.com/google/gemmlowp/archive/fda83bdc38b118cc6b56753bd540caa49e570745.zip -> gemmlowp-fda83bdc38b118cc6b56753bd540caa49e570745.zip + https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz + https://github.com/google/re2/archive/506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz -> re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz + https://github.com/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz + https://github.com/llvm/llvm-project/archive/7e825abd5704ce28b166f9463d4bd304348fd2a9.tar.gz -> llvm-7e825abd5704ce28b166f9463d4bd304348fd2a9.tar.gz + https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz + https://github.com/google/ruy/archive/34ea9f4993955fa1ff4eb58e504421806b7f2e8f.zip -> ruy-34ea9f4993955fa1ff4eb58e504421806b7f2e8f.zip + https://github.com/pytorch/cpuinfo/archive/d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz -> pytorch-cpuinfo-d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz + https://github.com/pytorch/cpuinfo/archive/6cecd15784fcb6c5c0aa7311c6248879ce2cb8b2.zip -> pytorch-cpuinfo-6cecd15784fcb6c5c0aa7311c6248879ce2cb8b2.zip + cuda? ( + https://github.com/nvidia/nccl/archive/5949d96f36d050e59d05872f8bbffd2549318e95.tar.gz -> nvidia-nccl-5949d96f36d050e59d05872f8bbffd2549318e95.tar.gz + https://github.com/NVlabs/cub/archive/1.8.0.zip -> cub-1.8.0.zip + ) + python? ( + https://github.com/intel/ARM_NEON_2_x86_SSE/archive/1200fe90bb174a6224a525ee60148671a786a71f.tar.gz -> ARM_NEON_2_x86_SSE-1200fe90bb174a6224a525ee60148671a786a71f.tar.gz + https://storage.googleapis.com/mirror.tensorflow.org/docs.python.org/2.7/_sources/license.rst.txt -> tensorflow-1.15.0-python-license.rst.txt + https://pypi.python.org/packages/bc/cc/3cdb0a02e7e96f6c70bd971bc8a90b8463fda83e264fa9c5c1c98ceabd81/backports.weakref-1.0rc1.tar.gz + )" + +SRC_URI="https://github.com/${PN}/${PN}/archive/v${MY_PV}.tar.gz -> ${P}.tar.gz + https://dev.gentoo.org/~perfinion/patches/tensorflow-patches-${PVR}.tar.bz2 + ${bazel_external_uris}" + +RDEPEND=" + app-arch/snappy + dev-db/lmdb + dev-db/sqlite + dev-libs/double-conversion + dev-libs/icu + >=dev-libs/jsoncpp-1.9.2 + dev-libs/libpcre + dev-libs/nsync + dev-libs/openssl:0= + >=dev-libs/protobuf-3.8.0:= + >=dev-libs/re2-0.2019.06.01 + media-libs/giflib + media-libs/libjpeg-turbo + media-libs/libpng:0 + >=net-libs/grpc-1.28 + net-misc/curl + sys-libs/zlib + >=sys-apps/hwloc-2 + cuda? ( + || ( + ( =dev-util/nvidia-cuda-toolkit-10.2*[profiler] =dev-libs/cudnn-7* ) + ( =dev-util/nvidia-cuda-toolkit-10.1*[profiler] =dev-libs/cudnn-7* ) + ( =dev-util/nvidia-cuda-toolkit-10.0*[profiler] =dev-libs/cudnn-7.4* ) + ( =dev-util/nvidia-cuda-toolkit-9.2*[profiler] =dev-libs/cudnn-7.1* ) + ( =dev-util/nvidia-cuda-toolkit-9.1*[profiler] =dev-libs/cudnn-7.0* ) + ) + ) + mpi? ( virtual/mpi ) + python? ( + ${PYTHON_DEPS} + >=dev-libs/flatbuffers-1.12.0:= + dev-python/absl-py[${PYTHON_USEDEP}] + >=dev-python/astor-0.7.1[${PYTHON_USEDEP}] + dev-python/astunparse[${PYTHON_USEDEP}] + >=dev-python/gast-0.3.3[${PYTHON_USEDEP}] + dev-python/h5py[${PYTHON_USEDEP}] + >=dev-python/numpy-1.19[${PYTHON_USEDEP}] + >=dev-python/google-pasta-0.1.8[${PYTHON_USEDEP}] + dev-python/opt-einsum[${PYTHON_USEDEP}] + >=dev-python/protobuf-python-3.8.0[${PYTHON_USEDEP}] + dev-python/six[${PYTHON_USEDEP}] + dev-python/termcolor[${PYTHON_USEDEP}] + >=dev-python/grpcio-1.28[${PYTHON_USEDEP}] + >=dev-python/wrapt-1.11.1[${PYTHON_USEDEP}] + >=net-libs/google-cloud-cpp-0.10.0 + >=sci-libs/keras-applications-1.0.8[${PYTHON_USEDEP}] + >=sci-libs/keras-preprocessing-1.1.0[${PYTHON_USEDEP}] + >=sci-visualization/tensorboard-2.3.0[${PYTHON_USEDEP}] + dev-python/dill[${PYTHON_USEDEP}] + dev-python/tblib[${PYTHON_USEDEP}] + )" +DEPEND="${RDEPEND} + python? ( + dev-python/mock + dev-python/setuptools + )" +PDEPEND="python? ( + >=sci-libs/tensorflow-estimator-2.3.0[${PYTHON_USEDEP}] + )" +BDEPEND=" + app-arch/unzip + >=dev-libs/protobuf-3.8.0 + dev-java/java-config + dev-lang/swig + =dev-util/bazel-3* + cuda? ( + >=dev-util/nvidia-cuda-toolkit-9.1[profiler] + ) + !python? ( dev-lang/python ) + python? ( + dev-python/cython + dev-python/mock + >=dev-python/grpcio-tools-1.28 + )" +REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )" + +S="${WORKDIR}/${MY_P}" + +DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md ) +CHECKREQS_MEMORY="5G" +CHECKREQS_DISK_BUILD="10G" + +get-cpu-flags() { + local i f=() + # Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc. + for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do + use cpu_flags_x86_${i} && f+=( -m${i/_/.} ) + done + use cpu_flags_x86_fma3 && f+=( -mfma ) + echo "${f[*]}" +} + +pkg_setup() { + ewarn "TensorFlow 2.0 is a major release that contains some incompatibilities" + ewarn "with TensorFlow 1.x. For more information about migrating to TF2.0 see:" + ewarn "https://www.tensorflow.org/guide/migrate" + + local num_pythons_enabled + num_pythons_enabled=0 + count_impls(){ + num_pythons_enabled=$((${num_pythons_enabled} + 1)) + } + use python && python_foreach_impl count_impls + + # 10G to build C/C++ libs, 5G per python impl + CHECKREQS_DISK_BUILD="$((10 + 6 * ${num_pythons_enabled}))G" + check-reqs_pkg_setup +} + +src_unpack() { + # Only unpack the main distfile + unpack "${P}.tar.gz" + unpack tensorflow-patches-${PVR}.tar.bz2 + bazel_load_distfiles "${bazel_external_uris}" +} + +src_prepare() { + export JAVA_HOME=$(java-config --jre-home) # so keepwork works + + append-flags $(get-cpu-flags) + bazel_setup_bazelrc + + eapply "${WORKDIR}"/patches/*.patch + + # Relax version checks in setup.py + sed -i "/^ '/s/==/>=/g" tensorflow/tools/pip_package/setup.py || die + sed -i "/config_googleapis/d" WORKSPACE || die + + # Prefixify hard-coded command locations + hprefixify -w /host_compiler_prefix/ third_party/gpus/cuda_configure.bzl + + default + use python && python_copy_sources + + use cuda && cuda_add_sandbox +} + +src_configure() { + export JAVA_HOME=$(java-config --jre-home) # so keepwork works + + do_configure() { + export CC_OPT_FLAGS=" " + export TF_ENABLE_XLA=$(usex xla 1 0) + export TF_NEED_OPENCL_SYCL=0 + export TF_NEED_OPENCL=0 + export TF_NEED_COMPUTECPP=0 + export TF_NEED_ROCM=0 + export TF_NEED_MPI=$(usex mpi 1 0) + export TF_SET_ANDROID_WORKSPACE=0 + + if use python; then + export PYTHON_BIN_PATH="${PYTHON}" + export PYTHON_LIB_PATH="$(python_get_sitedir)" + else + export PYTHON_BIN_PATH="$(which python)" + export PYTHON_LIB_PATH="$(python -c 'from distutils.sysconfig import *; print(get_python_lib())')" + fi + + export TF_NEED_CUDA=$(usex cuda 1 0) + export TF_DOWNLOAD_CLANG=0 + export TF_CUDA_CLANG=0 + export TF_NEED_TENSORRT=0 + if use cuda; then + export TF_CUDA_PATHS="${EPREFIX}/opt/cuda" + export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)" + export TF_CUDA_VERSION="$(cuda_toolkit_version)" + export TF_CUDNN_VERSION="$(cuda_cudnn_version)" + einfo "Setting CUDA version: $TF_CUDA_VERSION" + einfo "Setting CUDNN version: $TF_CUDNN_VERSION" + + if [[ *$(gcc-version)* != $(cuda-config -s) ]]; then + ewarn "TensorFlow is being built with Nvidia CUDA support. Your default compiler" + ewarn "version is not supported by the currently installed CUDA. TensorFlow will" + ewarn "instead be compiled using: ${GCC_HOST_COMPILER_PATH}." + ewarn "If the build fails with linker errors try rebuilding the relevant" + ewarn "dependencies using the same compiler version." + fi + + if [[ -z "$TF_CUDA_COMPUTE_CAPABILITIES" ]]; then + ewarn "WARNING: Tensorflow is being built with its default CUDA compute capabilities: 3.5 and 7.0." + ewarn "These may not be optimal for your GPU." + ewarn "" + ewarn "To configure Tensorflow with the CUDA compute capability that is optimal for your GPU," + ewarn "set TF_CUDA_COMPUTE_CAPABILITIES in your make.conf, and re-emerge tensorflow." + ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TF_CUDA_COMPUTE_CAPABILITIES=7.5,3.5" + ewarn "" + ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus" + ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'" + fi + fi + + # com_googlesource_code_re2 weird branch using absl, doesnt work with released re2 + local SYSLIBS=( + absl_py + astor_archive + astunparse_archive + boringssl + com_github_googleapis_googleapis + com_github_googlecloudplatform_google_cloud_cpp + com_github_grpc_grpc + com_google_protobuf + curl + cython + dill_archive + double_conversion + enum34_archive + flatbuffers + functools32_archive + gast_archive + gif + hwloc + icu + jsoncpp_git + libjpeg_turbo + lmdb + nasm + nsync + opt_einsum_archive + org_sqlite + pasta + pcre + png + pybind11 + six_archive + snappy + swig + tblib_archive + termcolor_archive + wrapt + zlib + ) + + export TF_SYSTEM_LIBS="${SYSLIBS[@]}" + export TF_IGNORE_MAX_BAZEL_VERSION=1 + + # This is not autoconf + ./configure || die + + echo 'build --config=noaws --config=nohdfs' >> .bazelrc || die + echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die + + for cflag in $(pkg-config jsoncpp --cflags) + do + echo "build --copt=\"$cflag\"" >> .bazelrc || die + echo "build --host_copt=\"$cflag\"" >> .bazelrc || die + done + } + if use python; then + python_foreach_impl run_in_build_dir do_configure + else + do_configure + fi +} + +src_compile() { + export JAVA_HOME=$(java-config --jre-home) # so keepwork works + + if use python; then + python_setup + BUILD_DIR="${S}-${EPYTHON/./_}" + cd "${BUILD_DIR}" + fi + + # fail early if any deps are missing + ebazel build -k --nobuild \ + //tensorflow:libtensorflow_framework.so \ + //tensorflow:libtensorflow.so \ + //tensorflow:libtensorflow_cc.so \ + $(usex python '//tensorflow/tools/pip_package:build_pip_package' '') + + ebazel build \ + //tensorflow:libtensorflow_framework.so \ + //tensorflow:libtensorflow.so + ebazel build //tensorflow:libtensorflow_cc.so + + do_compile() { + ebazel build //tensorflow/tools/pip_package:build_pip_package + } + BUILD_DIR="${S}" + cd "${BUILD_DIR}" + use python && python_foreach_impl run_in_build_dir do_compile + ebazel shutdown +} + +src_install() { + local i j + export JAVA_HOME=$(java-config --jre-home) # so keepwork works + + do_install() { + einfo "Installing ${EPYTHON} files" + local srcdir="${T}/src-${MULTIBUILD_VARIANT}" + mkdir -p "${srcdir}" || die + bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "${srcdir}" || die + cd "${srcdir}" || die + esetup.py install + + # libtensorflow_framework.so is in /usr/lib already + rm -f "${D}/$(python_get_sitedir)"/${PN}/lib${PN}_framework.so* || die + rm -f "${D}/$(python_get_sitedir)"/${PN}_core/lib${PN}_framework.so* || die + python_optimize + } + + if use python; then + python_foreach_impl run_in_build_dir do_install + + # Symlink to python-exec scripts + for i in "${ED}"/usr/lib/python-exec/*/*; do + n="${i##*/}" + [[ -e "${ED}/usr/bin/${n}" ]] || dosym ../lib/python-exec/python-exec2 "/usr/bin/${n}" + done + + python_setup + local BUILD_DIR="${S}-${EPYTHON/./_}" + cd "${BUILD_DIR}" || die + fi + + einfo "Installing headers" + ebazel build //tensorflow:install_headers + ebazel shutdown + insinto /usr/include/${PN}/ + doins -r bazel-bin/tensorflow/include/* + + einfo "Installing libs" + # Generate pkg-config file + ${PN}/c/generate-pc.sh --prefix="${EPREFIX}"/usr --libdir=$(get_libdir) --version=${MY_PV} || die + insinto /usr/$(get_libdir)/pkgconfig + doins ${PN}.pc ${PN}_cc.pc + + for l in libtensorflow{,_framework,_cc}.so; do + dolib.so bazel-bin/tensorflow/${l} + dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1) + dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1-3) + done + + einstalldocs +}