sci-libs/tensorflow: drop 2.8.0, 2.9.0

Depends on old dev-util/nvidia-cuda-toolkit.

Signed-off-by: Sam James <sam@gentoo.org>

3 files changed, 0 insertions, 867 deletions

diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest
index 52b2e9a49db2..595a250685e3 100644
--- a/sci-libs/tensorflow/Manifest
+++ b/sci-libs/tensorflow/Manifest
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-DIST kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz 44744 BLAKE2B aeea5d23c122417ddb70a44354890242c4fb61c456fba9af79054293a1355939af51a681760ac27be55423f888649fd2826e634422c7e9cb3749a9d7f50ef990 SHA512 30f4fcd351bbcb950a27e2a77ca100ccdfd37deb17a05e7e31c3e8f1c56d7c626ab81bbd7497484e6b512e41f7b1bed714722a194b2218c669b297911101df7b
 DIST llvm-project-0538e5431afdb1fa05bdcedf70ee502ccfcd112a.tar.gz 166280516 BLAKE2B 3102aeab615f1ae59271b8d6eca559e19ce2b4648642de08857bc983a222a904271bb222fe9c388ca01f8959533c37158f503ef607cd0c189b5c0e1ba7e01964 SHA512 6f9559ce94a116602f070e231e5dd8b1d50d1cdb38ffc8099fc07d1d4d492b41a707c30da7e57bee800e7f6d811f7bf82d9bf7428ac29904621ba4760061ec87
-DIST llvm-project-2760cdc9c6e42b92d311c697c54f7d79f8d668e4.tar.gz 162328438 BLAKE2B 8a8367aff664467aca4d0f688aebc0da54634dbd9d231a5fab7161048c721d58f6236c0ed3239408c9f77ae9699a89a0840ccf109f7f4544113e4287766239b3 SHA512 3a523ecacc2bd826d8a4acb04ac676720de423c459d47db71cc081ada8bf150cf99a4e43127a138239dbbfb65914f5645f5c87ea5fe8473ed5ac42fe67637d3f
-DIST llvm-project-55c71c9eac9bc7f956a05fa9258fad4f86565450.tar.gz 156068346 BLAKE2B b7c67175a36ae493969a9a4bc9d0c808a1deb7d488445d8c91a53e807442789861779652a398f1d308e46090d0f0a00b15917d192f3ad90f94ab98ea08a952da SHA512 62a1576722ada202f7004ac00d5e79a19c5a01a0ec5fc9f159736aea75f05faf231258383ff5cd8813777ed61cf3bc2ab95ae86371674f0d1d78bf8ac875828a
 DIST llvmorg-10.0.1-openmp-10.0.1.src.tar.xz 955492 BLAKE2B 4197ecfb2e3498a95a2ba5923f2b4bdafbab645ddf2d3f1875d39752d3ab7304fb35bce918d2dc6e40e5ea809545ae0907d6bc0b94a3d68b8d96da48f5a62adc SHA512 5b6f6487feaabd2a18ef2bbb1a5f86bb567e264f9fdf56805cfdd3f65f36f21e7c1392ba5170fafb52a395fc1606b277233beba3df31dc2ab825ef8924e7a05a
 DIST nvidia-nccl-v2.12.12-1.tar.gz 269622 BLAKE2B 079c8199e4ac832ce8b92b1964aa4a58afe12f72e92f4f8318ec80aaeff9fc97bdea48d21c024ea2a80a59d0ed94e89578471e5d9627ac6e0256fcd289727256 SHA512 51297f22c43f1e5b65f8433fdfc6cb1129aafabf69f133cf643354bd60250370b32f4ae7e96df70eab75308e670bb412d7e7232a48ca4467e4d8ac4ffde62699
-DIST nvidia-nccl-v2.8.3-1.tar.gz 203650 BLAKE2B 2b4995aa04b0b204c7315420b6d130c90baadf78f709b82352701c29116fbf053878e62623b6949ab114051a4df828536764bbe9374ab817af9a56879d7d8f08 SHA512 9a17b570ebda54116b1292899e086724c57c7b8ef03f8c529f760f79294cb710f599c2fddc29ab6bc4b843271af9e824dd1af1e705b98fdcbc201f737490d8f3
-DIST oneDNN-v2.5.1.tar.gz 5807775 BLAKE2B da852ddd92d4573645448d30dc35fd68c07deef99c7280cea99a5de7c57fc8fc348cdbeff77aeef8189beaac830315d681a139be55719d9df85529bca781475f SHA512 cce14aaacdc822d606e747f30e552062ca1bd342b262568253008ed4f145cd6fe42a19421ee15245f63d009b305a39ea435a055305570cedff2752d251b7f7d4
 DIST oneDNN-v2.6.1.tar.gz 5845474 BLAKE2B 207457ff5f2f7ee59112c5b5959ba714cbe673f2f6a8ec1515bb004c9cc339c8d8c381fcd34a00d137ba12f425537a8cc847dd67b4abb4e824e2154f9a6ab31e SHA512 6fc9874b192f096a493b3f86f5a889b7b3c4ada6f067cbfe059dc449d717e15ea58dcb55896e161b197ed1818fb808c3f5d2ce285a1d1e9a3610e8ca80a48d11
-DIST oneDNN-v2.6.tar.gz 5840464 BLAKE2B 9c593a55b791d877dde5b495cfcd4c255f53a3deeedf7867d53a7cf1294e34bb8d483d11e96e1b95ae5f621016fb6db63f94c1fcdf91cc0ba4f5d0ee0f0828ef SHA512 4cb7b80bfe16920bc096e18e7d8caa56b9ab7a4dab2a091a230bcf562c09533392f4a4ccd4db22754a10293670efdea20382db0994dc47949005a4c77f14b64c
 DIST pthreadpool-b8374f80e42010941bda6c85b0e3f1a1bd77a1e0.zip 61524 BLAKE2B 924419730bc6b94ec98a13db94f177b3b70d6c763158f43fb6f9e45605e73cfce238e6c996e2bf629dbb2a5af93ae99849ddc91174fc4664d702667f7423892d SHA512 d25262b47e39058d5aa8b8197c4984a5b941587a19079a2210f738c3af34ab8e8477731c88ca80c3f812a6a04635f80300124d93cc1e099352ef2aca04bdc3ae
 DIST pytorch-cpuinfo-5916273f79a21551890fd3d56fc5375a78d1598d.zip 3787933 BLAKE2B 169620d461103f271ae927d84af27282189509b2ba2fbed2c09f9ae387b5f392eea635dfdf2d3a23e1fc19b5d467bee3f13d3e473946e42bba4b6a9a2fd60e32 SHA512 6f1c8c931b62990ab0228679efb52207a6e21cb847139c11bf6117051b7315ff87c12ed1373670d006f0bc7e3d390d59f2d28a8250d0bd7df850583ae42afdf2
 DIST pytorch-cpuinfo-5e63739504f0f8e18e941bd63b2d6d42536c7d90.tar.gz 3512335 BLAKE2B 71c14866fde3846b5f375b39fe2f081a6c219b36fc0721640971f99c53ca77c8e7f8df83992d777af32a28c645d64f27dca838bd8e60835c5497e131467b22d0 SHA512 6a61f4574661a55771c2ec31bb0919a51d0bd8c770477b254a5c14dc5323716af275c7fe3abc5aa96720d7cc929559ca66f614265d3940e076b8db2fa15c8e36
-DIST pytorch-cpuinfo-d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz 3489028 BLAKE2B aa6b7719eb9871b6cc71318cb4a9c2e2397e665662b7978daecd9e8380304691a78b95118eba5cbbb738c4b490352a847f6ce6b5c4ae29de0543b95ecc557cbb SHA512 ecd2115340fa82a67db7889ce286c3070d5ab9c30b02372b08aac893e90ccebc65c6b3e66aa02a9ae9c57892d2d8c3b77cb836e5fc3b88df2c75d33e574d90d2
-DIST re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz 316237 BLAKE2B 8a975bc3e78b690f70944651c7022c6d946f40b2eb5fe01b2e203141f94b890cf1ad5c72af8e7c6ff3c5242d42af5a8657ed69e3c74d9ac081beb15de6334c0c SHA512 e3e00e92700d08bc55ba0e96148ddf1e00de2d329c1fdac08691ff15976937829f66dbc84af886a4b749ad66ba4ab208d66811e97e33bb9c2d7359735406c450
 DIST re2-a276a8c738735a0fe45a6ee590fe2df69bcf4502.tar.gz 306766 BLAKE2B 54162a22afe10b392e30864729b3b210194c0dbf7926cc3536dfe3afd43e0b8abf3d01b08e0feb71a8ade19cd497aea9e9b7b34eacb85e10cc7e1c5fd62a407d SHA512 9557830cea13485bd332ccdcdd3735ea63e6bb41f4cf943ecc24a1d79b75a58c5894cfe70c4a35a07a1b2b1f3d2ffa76fbeff168fda17c72b3436cb6213121dd
 DIST rules_apple.0.33.0.tar.gz 2168079 BLAKE2B eac0462030d02a8c3237d0d5aa0ca6e34fdb076c1a31c03bb60c03f1d25f94a2882daad95ec00317bc13381e30318e95d1f618c31ca4293cc8e6ffeeaf19ed81 SHA512 917b402d3bd39ba47c7169d1a6074d60ea7935e564120ed54ae3144069742c9fc6cb38562b66f62a7000e768dfe997e7084b130e1854509c2a6bdcb91f62875c
 DIST ruy-841ea4172ba904fe3536789497f9565f2ef64129.zip 379664 BLAKE2B 82f54b4e7959ca2ff489cf0eaa7c01c5084b11174a43e2caa8f30dcd3951fb9552e513fa0488190fa73dde62719bfd8e4be59bd264fe316ec5b9852db2494ed2 SHA512 e10bed1901eb53cc0174d8723b67b7ff4f7021b5d94e8e7596879a9a625e77948f265d430b5c56f7789030874ba08bdb5263796212d9b60affd1a20694ec3317
-DIST ruy-e6c1b8dc8a8b00ee74e7268aac8b18d7260ab1ce.zip 375516 BLAKE2B d026fcb8cf5226fca9153bd5acb848f04382cf759efda334e9bdbc58cb838a54c8e26d85d8c1577cca835b82319a80a61c7be83e6f61e0dab01d8119995a6c2e SHA512 e556764ef8505509cadf6cf28bb172be96b3650b410b1ccc3a34ef4c2bb8f67e911597962dd392c6441e68d329c66a0f0215fa545df01c63912adda1b08b25ce
 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-2.10.0.tar.gz 66644994 BLAKE2B 5d6cda635d9cba90d9d170a9af137d7d1f9e37d8bfd15993fd1724fc16d1642b7894c8aadf9115a2ee876562c0af0c60bdb34f181e87478909dced125a3f2780 SHA512 bf8a6f16393499c227fc70f27bcfb6d44ada53325aee2b217599309940f60db8ee00dd90e3d82b87d9c309f5621c404edab55e97ab8bfa09e4fc67859b9e3967
-DIST tensorflow-2.8.0.tar.gz 65416640 BLAKE2B 0446678db956e6f583a4a79d93d89285be0aafe1b62a83fad8b88f1d9bebd82de1e83661477d6e959934413a0176f25ce063bef608ed429576fd1439350713ea SHA512 9cddb78c0392b7810e71917c3731f895e31c250822031ac7f498bf20435408c640b2fba4de439fa4a47c70dbff38b86e50fed2971df1f1916f23f9490241cfed
-DIST tensorflow-2.9.0.tar.gz 66647793 BLAKE2B bc12e0735e5c0eb9dfbd31c6e855d820045a165c9b6d09a6a26af54a38de5b6feabae7bc49539d6a5d5333516f49a91e3d94c08b4fc01e044062bb1f8b156f2c SHA512 1196f8bdf1e3dba53b1d96f32d5f99f1f372a06feafa46147b636f19ad7de0e877a82619770e6393c2cd72093147b848d1cc30a0a989826f7ab2c1f7a06b08b6
 DIST tensorflow-patches-2.10.0.tar.bz2 2951 BLAKE2B c97643e19048511ac142408323bc03f04f1bda75332cbca15cafd4e6184190905812c9096960236498390b6fadbcf111aeb34696d177dd006dd2d6bd2cd9ff4e SHA512 188cc59e2aa3065c5c5a038c9aab9dda784c194f424478d5a8cf14762fbc63780023d364b05963964b9a6db5f464dfb4e4ad9be0d4cf0c792695d7e9815311cd
-DIST tensorflow-patches-2.8.0.tar.bz2 7950 BLAKE2B 21961f7b12294c51e1ed97445f02845502bb680b502bffea57732468417ef1c556246b29f630392e7045efe909452a44055b827b7b75533f5b8440240abf0508 SHA512 454b0a909f04b63e5f9de598981077c21ba9bee22b4251566c298ed7c7a7e6edae628b1f995de4f9fb1b84e4b80e6b42c19cdf363de13e43534994bf7e2b17b8
-DIST tensorflow-patches-2.9.0.tar.bz2 10683 BLAKE2B c2e783004ad779d96d7b794a051baa484649b9f090c06dded15cd0357435da22a5abfa877d2b0a7622df7cb9cea8e0d691666f7aacc5962c390d7aed71426f5e SHA512 8df1888d48a61fa84b64d43a849a6fce5302cb1259fa093d0485a915ad1fe87f9c09a8f75d371ce164c5d0b631ba9110d87501109cb8afe0993b686f5f3c1cf9
-DIST tensorflow-runtime-093ed77f7d50f75b376f40a71ea86e08cedb8b80.tar.gz 15323415 BLAKE2B 5d4277b032bdb7002d1766abb2300c48728057d0bb81559d44f567a4b2a33a0b90d9298471677838159fdbe062328f64a2a7db839975a7359e1cca82c83ec812 SHA512 e9dc796739cfc7ed9a03ac7fa7896959da8312d95afb53d9c50c14218393f772c2196f27c01353d95b0d723bb6893fe8037f32de80c4009ade018abdba863621
 DIST tensorflow-runtime-6ca793b5d862ef6c50f242d77a811f06cce9b60a.tar.gz 15397674 BLAKE2B 89131434c6d8bf93cfc6ba14ec5455b188ec6527398444a5042d6d17631f9e2c1d192847a6e48338ac9a18d7c63531779d4c7c77183761d7e51ca3e7b6ea17a3 SHA512 b29f616f41ba5fb5639eafba82f2dfc51702eb9937ad720f547d285097c17f1291fa1131e7771d58fc2924c489e7779abc7c04fe230ceb917f4ba751a3893f0e
-DIST tensorflow-runtime-c3e082762b7664bbc7ffd2c39e86464928e27c0c.tar.gz 15263217 BLAKE2B cb782725c7e876ee39c2d9dab589c40ebbfea6b1002bd7809464514e46c5cdff30defcfac9c0bea3863d6c525ea919c201874774c194252f70ea44ea45da5f61 SHA512 2f01b37e7f042d35f6fb854db67afc46451b6d9120317dca8bb255e53825460ab9ad34a6cf6e2cd2728bb2117e2aa056f826ccacdcf4f898512715d58f5b4339
-DIST tensorflow-toolchains-v1.3.2.tar.gz 98057 BLAKE2B 01dda11552a989344c9efb0aceb16aea632fbd97ef4687bfd7d6967631ea6ad81c5d2de065a793a25048781b57f881bf2cadf9ba1aabe0f23c836cf062e32278 SHA512 cdf32e849ca4fda6417bd0e1243501e8f9416086dc0dddf3535229c6be33368010584f4709e5acf2b81a4fdee53c27cf81fed1a940db100819851432ec5756fc
diff --git a/sci-libs/tensorflow/tensorflow-2.8.0.ebuild b/sci-libs/tensorflow/tensorflow-2.8.0.ebuild
deleted file mode 100644
index 051e6b0afd28..000000000000
--- a/sci-libs/tensorflow/tensorflow-2.8.0.ebuild
+++ /dev/null
@@ -1,417 +0,0 @@
-# Copyright 1999-2022 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=8
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python3_{8,9} )
-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/"
-
-RESTRICT="test" # Tests need GPU access
-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
-# pkgcheck complains but do NOT change the .zip to .tar.gz, bazel requires the exact tarball (basename and sha256).
-# the build will fail if different archives are used.
-bazel_external_uris="
-	https://github.com/bazelbuild/platforms/releases/download/0.0.2/platforms-0.0.2.tar.gz -> bazelbuild-platforms-0.0.2.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/dfc67056200b674accd08d8f9a21e328098c07e2.tar.gz -> bazel-toolchains-dfc67056200b674accd08d8f9a21e328098c07e2.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/40548a2974f1aea06215272d9c2b47a14a24e556.tar.gz -> bazelbuild-rules_cc-40548a2974f1aea06215272d9c2b47a14a24e556.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_java/archive/7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip -> bazelbuild-rules_java-7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip
-	https://github.com/bazelbuild/rules_pkg/releases/download/0.2.5/rules_pkg-0.2.5.tar.gz -> bazelbuild-rules_pkg-0.2.5.tar.gz
-	https://github.com/bazelbuild/rules_proto/archive/a0761ed101b939e19d83b2da5f59034bffc19c12.zip -> bazelbuild-rules_proto-a0761ed101b939e19d83b2da5f59034bffc19c12.zip
-	https://github.com/bazelbuild/rules_python/releases/download/0.0.1/rules_python-0.0.1.tar.gz -> bazelbuild-rules_python-0.0.1.tar.gz
-	https://github.com/bazelbuild/rules_swift/releases/download/0.21.0/rules_swift.0.21.0.tar.gz -> bazelbuild-rules_swift.0.21.0.tar.gz
-	https://github.com/dmlc/dlpack/archive/3efc489b55385936531a06ff83425b719387ec63.tar.gz -> dlpack-3efc489b55385936531a06ff83425b719387ec63.tar.gz
-	https://github.com/google/farmhash/archive/0d859a811870d10f53a594927d0d0b97573ad06d.tar.gz -> farmhash-0d859a811870d10f53a594927d0d0b97573ad06d.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/e6c1b8dc8a8b00ee74e7268aac8b18d7260ab1ce.zip -> ruy-e6c1b8dc8a8b00ee74e7268aac8b18d7260ab1ce.zip
-	https://github.com/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz
-	https://github.com/llvm/llvm-project/archive/55c71c9eac9bc7f956a05fa9258fad4f86565450.tar.gz -> llvm-project-55c71c9eac9bc7f956a05fa9258fad4f86565450.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/refs/tags/v2.5.1.tar.gz -> oneDNN-v2.5.1.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/v1.3.2.tar.gz -> tensorflow-toolchains-v1.3.2.tar.gz
-	https://github.com/tensorflow/runtime/archive/c3e082762b7664bbc7ffd2c39e86464928e27c0c.tar.gz -> tensorflow-runtime-c3e082762b7664bbc7ffd2c39e86464928e27c0c.tar.gz
-	https://gitlab.com/libeigen/eigen/-/archive/085c2fc5d53f391afcccce21c45e15f61c827ab1/eigen-085c2fc5d53f391afcccce21c45e15f61c827ab1.tar.gz
-	https://github.com/google/XNNPACK/archive/113092317754c7dea47bfb3cb49c4f59c3c1fa10.zip -> XNNPACK-113092317754c7dea47bfb3cb49c4f59c3c1fa10.zip
-	https://github.com/Maratyszcza/pthreadpool/archive/b8374f80e42010941bda6c85b0e3f1a1bd77a1e0.zip -> pthreadpool-b8374f80e42010941bda6c85b0e3f1a1bd77a1e0.zip
-	https://github.com/Maratyszcza/FP16/archive/4dfe081cf6bcd15db339cf2680b9281b8451eeb3.zip -> FP16-4dfe081cf6bcd15db339cf2680b9281b8451eeb3.zip
-	https://github.com/Maratyszcza/FXdiv/archive/63058eff77e11aa15bf531df5dd34395ec3017c8.zip -> FXdiv-63058eff77e11aa15bf531df5dd34395ec3017c8.zip
-	cuda? (
-		https://github.com/NVIDIA/cudnn-frontend/archive/73210a930333eaf66b42b01693bce7b70719c354.zip -> cudnn-frontend-73210a930333eaf66b42b01693bce7b70719c354.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
-	)"
-
-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}"
-
-# abseil-cpp-20211102.0-r0 does not work with NVCC
-RDEPEND="
-	app-arch/snappy
-	>=dev-cpp/abseil-cpp-20211102-r1:=
-	dev-db/lmdb
-	dev-db/sqlite
-	dev-libs/double-conversion
-	dev-libs/icu:=
-	>=dev-libs/jsoncpp-1.9.2:=
-	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-11.6_pre:=[profiler]
-		=dev-libs/cudnn-8*
-	)
-	mpi? ( virtual/mpi )
-	python? (
-		${PYTHON_DEPS}
-		<dev-libs/flatbuffers-2.0.6:=
-		dev-python/absl-py[${PYTHON_USEDEP}]
-		>=dev-python/astor-0.7.1[${PYTHON_USEDEP}]
-		dev-python/astunparse[${PYTHON_USEDEP}]
-		dev-python/clang-python[${PYTHON_USEDEP}]
-		dev-python/dill[${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-visualization/tensorboard-2.8.0[${PYTHON_USEDEP}]
-	)"
-DEPEND="${RDEPEND}
-	python? (
-		dev-python/mock
-		dev-python/setuptools
-	)"
-PDEPEND="python? (
-		>=sci-libs/keras-2.8.0[${PYTHON_USEDEP}]
-		>=sci-libs/tensorflow-estimator-2.8.0[${PYTHON_USEDEP}]
-	)"
-BDEPEND="
-	app-arch/unzip
-	>=dev-libs/protobuf-3.8.0
-	dev-java/java-config
-	>=dev-util/bazel-4.2.1
-	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() {
-	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 $(get-cpu-flags)
-	append-cxxflags -std=c++17
-	export BUILD_CXXFLAGS+=" -std=c++17"
-	filter-flags '-fvtable-verify=@(std|preinit)'
-	bazel_setup_bazelrc
-
-	eapply "${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_absl
-			com_google_protobuf
-			curl
-			cython
-			dill_archive
-			double_conversion
-			flatbuffers
-			functools32_archive
-			gast_archive
-			gif
-			hwloc
-			icu
-			jsoncpp_git
-			libjpeg_turbo
-			lmdb
-			nasm
-			nsync
-			opt_einsum_archive
-			org_sqlite
-			pasta
-			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 "${BUILD_DIR}"
-	use python && python_foreach_impl run_in_build_dir do_compile
-	ebazel shutdown
-}
-
-src_install() {
-	local i l
-	export JAVA_HOME=$(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
-
-	# Workaround for https://bugs.gentoo.org/831927
-	export MAKEOPTS="-j1"
-}
diff --git a/sci-libs/tensorflow/tensorflow-2.9.0.ebuild b/sci-libs/tensorflow/tensorflow-2.9.0.ebuild
deleted file mode 100644
index 84e1f2e81e42..000000000000
--- a/sci-libs/tensorflow/tensorflow-2.9.0.ebuild
+++ /dev/null
@@ -1,418 +0,0 @@
-# Copyright 1999-2022 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=8
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python3_{8,9,10} )
-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/"
-
-RESTRICT="test" # Tests need GPU access
-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
-# pkgcheck complains but do NOT change the .zip to .tar.gz, bazel requires the exact tarball (basename and sha256).
-# the build will fail if different archives are used.
-bazel_external_uris="
-	https://github.com/bazelbuild/platforms/releases/download/0.0.2/platforms-0.0.2.tar.gz -> bazelbuild-platforms-0.0.2.tar.gz
-	https://github.com/bazelbuild/apple_support/releases/download/0.12.1/apple_support.0.12.1.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/dfc67056200b674accd08d8f9a21e328098c07e2.tar.gz -> bazel-toolchains-dfc67056200b674accd08d8f9a21e328098c07e2.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_apple/releases/download/0.33.0/rules_apple.0.33.0.tar.gz
-	https://github.com/bazelbuild/rules_cc/archive/081771d4a0e9d7d3aa0eed2ef389fa4700dfb23e.tar.gz -> bazelbuild-rules_cc-081771d4a0e9d7d3aa0eed2ef389fa4700dfb23e.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_java/archive/7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip -> bazelbuild-rules_java-7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip
-	https://github.com/bazelbuild/rules_pkg/releases/download/0.2.5/rules_pkg-0.2.5.tar.gz -> bazelbuild-rules_pkg-0.2.5.tar.gz
-	https://github.com/bazelbuild/rules_proto/archive/11bf7c25e666dd7ddacbcd4d4c4a9de7a25175f8.tar.gz -> bazelbuild-rules_proto-11bf7c25e666dd7ddacbcd4d4c4a9de7a25175f8.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/releases/download/0.25.0/rules_swift.0.25.0.tar.gz -> bazelbuild-rules_swift.0.25.0.tar.gz
-	https://github.com/dmlc/dlpack/archive/790d7a083520398268d92d0bd61cf85dfa32ee98.tar.gz -> dlpack-790d7a083520398268d92d0bd61cf85dfa32ee98.tar.gz
-	https://github.com/google/farmhash/archive/0d859a811870d10f53a594927d0d0b97573ad06d.tar.gz -> farmhash-0d859a811870d10f53a594927d0d0b97573ad06d.tar.gz
-	https://github.com/google/gemmlowp/archive/e844ffd17118c1e17d94e1ba4354c075a4577b88.zip -> gemmlowp-e844ffd17118c1e17d94e1ba4354c075a4577b88.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/e6c1b8dc8a8b00ee74e7268aac8b18d7260ab1ce.zip -> ruy-e6c1b8dc8a8b00ee74e7268aac8b18d7260ab1ce.zip
-	https://github.com/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz
-	https://github.com/llvm/llvm-project/archive/2760cdc9c6e42b92d311c697c54f7d79f8d668e4.tar.gz -> llvm-project-2760cdc9c6e42b92d311c697c54f7d79f8d668e4.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/refs/tags/v2.6.tar.gz -> oneDNN-v2.6.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/runtime/archive/093ed77f7d50f75b376f40a71ea86e08cedb8b80.tar.gz -> tensorflow-runtime-093ed77f7d50f75b376f40a71ea86e08cedb8b80.tar.gz
-	https://gitlab.com/libeigen/eigen/-/archive/008ff3483a8c5604639e1c4d204eae30ad737af6/eigen-008ff3483a8c5604639e1c4d204eae30ad737af6.tar.gz
-	https://github.com/google/XNNPACK/archive/11b2812d64e49bab9b6c489f79067fc94e69db9f.zip -> XNNPACK-11b2812d64e49bab9b6c489f79067fc94e69db9f.zip
-	https://github.com/Maratyszcza/pthreadpool/archive/b8374f80e42010941bda6c85b0e3f1a1bd77a1e0.zip -> pthreadpool-b8374f80e42010941bda6c85b0e3f1a1bd77a1e0.zip
-	https://github.com/Maratyszcza/FP16/archive/4dfe081cf6bcd15db339cf2680b9281b8451eeb3.zip -> FP16-4dfe081cf6bcd15db339cf2680b9281b8451eeb3.zip
-	https://github.com/Maratyszcza/FXdiv/archive/63058eff77e11aa15bf531df5dd34395ec3017c8.zip -> FXdiv-63058eff77e11aa15bf531df5dd34395ec3017c8.zip
-	cuda? (
-		https://github.com/NVIDIA/cudnn-frontend/archive/73210a930333eaf66b42b01693bce7b70719c354.zip -> cudnn-frontend-73210a930333eaf66b42b01693bce7b70719c354.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
-	)"
-
-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}"
-
-# abseil-cpp-20211102.0-r0 does not work with NVCC
-RDEPEND="
-	app-arch/snappy
-	>=dev-cpp/abseil-cpp-20211102-r2:=
-	dev-db/lmdb
-	dev-db/sqlite
-	dev-libs/double-conversion
-	dev-libs/icu:=
-	>=dev-libs/jsoncpp-1.9.2:=
-	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-11.7_pre:=[profiler]
-		=dev-libs/cudnn-8*
-	)
-	mpi? ( virtual/mpi )
-	python? (
-		${PYTHON_DEPS}
-		<dev-libs/flatbuffers-2.0.6:=
-		dev-python/absl-py[${PYTHON_USEDEP}]
-		>=dev-python/astor-0.7.1[${PYTHON_USEDEP}]
-		dev-python/astunparse[${PYTHON_USEDEP}]
-		dev-python/clang-python[${PYTHON_USEDEP}]
-		dev-python/dill[${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-visualization/tensorboard-2.9.0[${PYTHON_USEDEP}]
-	)"
-DEPEND="${RDEPEND}
-	python? (
-		dev-python/mock
-		dev-python/setuptools
-	)"
-PDEPEND="python? (
-		>=sci-libs/keras-2.9.0[${PYTHON_USEDEP}]
-		>=sci-libs/tensorflow-estimator-2.9.0[${PYTHON_USEDEP}]
-	)"
-BDEPEND="
-	app-arch/unzip
-	>=dev-libs/protobuf-3.8.0
-	dev-java/java-config
-	>=dev-util/bazel-4.2.1
-	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() {
-	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, 6G 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 $(get-cpu-flags)
-	append-cxxflags -std=c++17
-	export BUILD_CXXFLAGS+=" -std=c++17"
-	filter-flags '-fvtable-verify=@(std|preinit)'
-	bazel_setup_bazelrc
-
-	eapply "${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_absl
-			com_google_protobuf
-			curl
-			cython
-			dill_archive
-			double_conversion
-			flatbuffers
-			functools32_archive
-			gast_archive
-			gif
-			hwloc
-			icu
-			jsoncpp_git
-			libjpeg_turbo
-			lmdb
-			nasm
-			nsync
-			opt_einsum_archive
-			org_sqlite
-			pasta
-			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}" || die
-	fi
-
-	# fail early if any deps are missing
-	ebazel build -k --nobuild \
-		//tensorflow:libtensorflow_framework.so \
-		//tensorflow:libtensorflow.so \
-		//tensorflow:libtensorflow_cc.so \
-		$(usex python '//tensorflow/tools/pip_package:build_pip_package' '')
-
-	ebazel build \
-		//tensorflow:libtensorflow_framework.so \
-		//tensorflow:libtensorflow.so
-	ebazel build //tensorflow:libtensorflow_cc.so
-	ebazel build //tensorflow:install_headers
-	ebazel shutdown
-
-	do_compile() {
-		ebazel build //tensorflow/tools/pip_package:build_pip_package
-		ebazel shutdown
-	}
-	BUILD_DIR="${S}"
-	cd "${BUILD_DIR}" || die
-	use python && python_foreach_impl run_in_build_dir do_compile
-}
-
-src_install() {
-	local i l
-	export JAVA_HOME=$(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"
-	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
-
-	# Workaround for https://bugs.gentoo.org/831927
-	export MAKEOPTS="-j1"
-}