sci-libs/tensorflow: add 2.12.0

Signed-off-by: Jason Zaman <perfinion@gentoo.org>

2 files changed, 439 insertions, 0 deletions

diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest
index 6a244654528d..27527617bdd3 100644
--- a/sci-libs/tensorflow/Manifest
+++ b/sci-libs/tensorflow/Manifest
@@ -3,6 +3,7 @@ DIST ARM_NEON_2_x86_SSE-a15b489e1222b2087007546b4912e21293ea86ff.tar.gz 103972 B
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+DIST XNNPACK-659147817805d17c7be2d60bd7bbca7e780f9c82.zip 20341886 BLAKE2B 9aa37b3622e62e554b9021fca88f9f8d274989d4799d942c27a6d13ebb59409b130423a23f60f4e42042b8894457d8d691e17e3f21555562c8e9d1f97bb1ae13 SHA512 13c87064ec57adb29320c4d061ce0ae6cdb42b5e7584fbb758e3703f7f0a96d47e618b7ef584bf10d5b11d3658c43c6822e3b13748b6e659a5820ef534652ebf
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 DIST oneDNN-v2.6.1.tar.gz 5845474 BLAKE2B 207457ff5f2f7ee59112c5b5959ba714cbe673f2f6a8ec1515bb004c9cc339c8d8c381fcd34a00d137ba12f425537a8cc847dd67b4abb4e824e2154f9a6ab31e SHA512 6fc9874b192f096a493b3f86f5a889b7b3c4ada6f067cbfe059dc449d717e15ea58dcb55896e161b197ed1818fb808c3f5d2ce285a1d1e9a3610e8ca80a48d11
 DIST oneDNN-v2.7.1.tar.gz 6405831 BLAKE2B b43253f7bc1be0bca51746f06d825191ae544376b259662cbf8f567d8f39a6befde3c88a14744e053b851d2f89fb2600b999abef1acb585bc116d6fa0c95fe3f SHA512 062e97ac613d265627ec1f010aa1d101bf71c449c813187c26244c66c9e6b9b582a0a0a823a9391fa828f396051318fada8263ff64c4f4b4bb6ca1d7a08ea6e1
+DIST oneDNN-v2.7.3.tar.gz 6410473 BLAKE2B c6730100e0438d456eb4986f416ae2bd1f173a80c52d5090523af06790afae8ee17cc58ffa8ed7215cd0eff99191a925d8cdce9986c72ccb8ebffacedc434b18 SHA512 ad9450f8b701288fa1721f64d0cb33fc344e9fc4f84e517b3d52377189ffcd0c5b56156ef4a33ca3ffe2da886abcc7ac5b2a3407cc155bd4be2223751b84f7c9
+DIST openxla-stablehlo-51f005f0a8ff6e28f535adfec4de936cb4097aa4.zip 6902721 BLAKE2B ef9766377a38f816f5a6dc60f34d5300b2775bc282084e9f34c7a5ccc6104a0154d44f2c57aba081889de50fc141a6059255fca3f681322343e316289d6540d7 SHA512 ffe46e21be6f617b6ecbc7ef35e83d441256e429150af60451cf04c02085fb1a0b60a9687d8d60d6f1f9321e6f6a92f24749a3c1cf1ee694a8ffc0fcd13f64f4
 DIST openxla-stablehlo-fdd47908468488cbbb386bb7fc723dc19321cb83.zip 301572 BLAKE2B c8242b3d9612fbdfa1c34ae5cb610aadd68464498e6cc84d48bcc38abb9e8636fa31b9a03b5a604a29cafe12a47e5b7be90c48d52fb6587bcd376d6307775197 SHA512 61b89d0dafe450ae95d770878385b5ed3cbb0109b79cf5e01304119f2f52255ccc83cedc542cfa5c342692945833b86606468224e67c6ff9dd6f7216b86adc7a
+DIST openxla-triton-2c3853269281da6742cf469a5ca5772947d271ce.tar.gz 459751 BLAKE2B 8b1b314fd1b6d8822a84cb9cacfd70e2c59784a76f879d75c910f376d38fbdccbc132ebab7f29c5bddde04afd7821c0322311d97c55fcfcc87580b82039a7efa SHA512 cedee3b982b93ae237a1e035ef2a9447aabc94ea4add63959b927670006b5cf546f064d5741ee9e731de31c343ed5869abe9c479d07360b07ef2b26f93081a6a
 DIST pthreadpool-b8374f80e42010941bda6c85b0e3f1a1bd77a1e0.zip 61524 BLAKE2B 924419730bc6b94ec98a13db94f177b3b70d6c763158f43fb6f9e45605e73cfce238e6c996e2bf629dbb2a5af93ae99849ddc91174fc4664d702667f7423892d SHA512 d25262b47e39058d5aa8b8197c4984a5b941587a19079a2210f738c3af34ab8e8477731c88ca80c3f812a6a04635f80300124d93cc1e099352ef2aca04bdc3ae
+DIST pytorch-cpuinfo-3dc310302210c1891ffcfb12ae67b11a3ad3a150.tar.gz 3515639 BLAKE2B d4adc49ea1bcbfd7a7efb13cdfea6a1d9cf717b06209c03342f92a3d624de65bcdf2ce7aa7fa8bd5f95ad423447ee833fdea718e16f98037344df75de8bde943 SHA512 f4c0ce922cee0df62c15a335889bb59b5f70ad71448b42b9c1bfa9b5e77c4c4d5f1613f607f32fa9d6817d0d5f49c554e1378079a1cd66a9cd2492796d48c3c2
+DIST pytorch-cpuinfo-3dc310302210c1891ffcfb12ae67b11a3ad3a150.zip 3812878 BLAKE2B 30048677534192f1e288c69be5a0373844206cc4e209d48b92f5bf38da37003bdd5125b6588ec0f34acd855acd9cd16193725976ede644d3140fbbcf03d2d364 SHA512 963fa6c6948102d15cae1db90645e9cf85d1efc0fd541f75dfff7d6efe62fdd196085910cdb366be56b7e71f36df98edd211fc875aff6eb1e9962e0d62f43667
 DIST pytorch-cpuinfo-5916273f79a21551890fd3d56fc5375a78d1598d.zip 3787933 BLAKE2B 169620d461103f271ae927d84af27282189509b2ba2fbed2c09f9ae387b5f392eea635dfdf2d3a23e1fc19b5d467bee3f13d3e473946e42bba4b6a9a2fd60e32 SHA512 6f1c8c931b62990ab0228679efb52207a6e21cb847139c11bf6117051b7315ff87c12ed1373670d006f0bc7e3d390d59f2d28a8250d0bd7df850583ae42afdf2
 DIST pytorch-cpuinfo-5e63739504f0f8e18e941bd63b2d6d42536c7d90.tar.gz 3512335 BLAKE2B 71c14866fde3846b5f375b39fe2f081a6c219b36fc0721640971f99c53ca77c8e7f8df83992d777af32a28c645d64f27dca838bd8e60835c5497e131467b22d0 SHA512 6a61f4574661a55771c2ec31bb0919a51d0bd8c770477b254a5c14dc5323716af275c7fe3abc5aa96720d7cc929559ca66f614265d3940e076b8db2fa15c8e36
 DIST re2-a276a8c738735a0fe45a6ee590fe2df69bcf4502.tar.gz 306766 BLAKE2B 54162a22afe10b392e30864729b3b210194c0dbf7926cc3536dfe3afd43e0b8abf3d01b08e0feb71a8ade19cd497aea9e9b7b34eacb85e10cc7e1c5fd62a407d SHA512 9557830cea13485bd332ccdcdd3735ea63e6bb41f4cf943ecc24a1d79b75a58c5894cfe70c4a35a07a1b2b1f3d2ffa76fbeff168fda17c72b3436cb6213121dd
 DIST rules_apple.0.33.0.tar.gz 2168079 BLAKE2B eac0462030d02a8c3237d0d5aa0ca6e34fdb076c1a31c03bb60c03f1d25f94a2882daad95ec00317bc13381e30318e95d1f618c31ca4293cc8e6ffeeaf19ed81 SHA512 917b402d3bd39ba47c7169d1a6074d60ea7935e564120ed54ae3144069742c9fc6cb38562b66f62a7000e768dfe997e7084b130e1854509c2a6bdcb91f62875c
 DIST rules_apple.1.0.1.tar.gz 2198467 BLAKE2B 79178efe1acfa36af3f41b31610a5add8bd9c35529931415ab45cc1588c4fea477ddf0cd67c5d799de688db049fe2f3ce776c5e5da2e1dde1c329efc44d51ec0 SHA512 a24d880dd8174241b2808424fd3364f8b0ba9865109704981ad68f383d983bab9f8e8923942423e70b0a3af6951d16f5712647692a8ca3bef4347057f3536cc6
+DIST ruy-3286a34cc8de6149ac6844107dfdffac91531e72.zip 381045 BLAKE2B 00cf2a009ff6cac8e3e8c3380c3fdb4fe9299614eba56bfbf0b2b8dd908ec2ec7d58b8185810899dd8bac80cc990d69a26e01eed8562f73c5fc08b8b3ad198e0 SHA512 4acb4dcee41788c3f2a65a4335f64d20057980289f231a401ea45c27dcd16bc2e48d0748d6ad35e77c3212104c54353193d4710260993ae8927dce24a6ef435e
 DIST ruy-841ea4172ba904fe3536789497f9565f2ef64129.zip 379664 BLAKE2B 82f54b4e7959ca2ff489cf0eaa7c01c5084b11174a43e2caa8f30dcd3951fb9552e513fa0488190fa73dde62719bfd8e4be59bd264fe316ec5b9852db2494ed2 SHA512 e10bed1901eb53cc0174d8723b67b7ff4f7021b5d94e8e7596879a9a625e77948f265d430b5c56f7789030874ba08bdb5263796212d9b60affd1a20694ec3317
 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-2.11.0.tar.gz 67996769 BLAKE2B 539a8d7084280023c7b019a079aad6bdf0fa94b22276250a02913fb0ad496b4af2115276152b4f37101547404b616de58f209b9d1036e5d4dd9b0f7072a59ba9 SHA512 cda16db72a0ede72ac9f5e76c3a745ea9d72421fa40021303032f8fc3ac2755f64524f97a4629c18cf888f259027439b49ec921e0f5fd329a6ba060235a658d5
+DIST tensorflow-2.12.0.tar.gz 69710128 BLAKE2B 582b7b2717edd0ce41ecd74525fd38684d375cf1833c206cb53fa10ef964bb41ef8f29fa947a1f77e892bb68793d53c567bc9c4c9124dba94913f57ddcd3b1f9 SHA512 9273720b5be08e5d3dc76aafa4af6b27a2d50afd02b181e7632f3d70961995b2e0e5acb13e70c9b704ef475617c23d70047fbe74d5b63b156cf8f2fa8a856b84
 DIST tensorflow-patches-2.10.0.tar.bz2 2951 BLAKE2B c97643e19048511ac142408323bc03f04f1bda75332cbca15cafd4e6184190905812c9096960236498390b6fadbcf111aeb34696d177dd006dd2d6bd2cd9ff4e SHA512 188cc59e2aa3065c5c5a038c9aab9dda784c194f424478d5a8cf14762fbc63780023d364b05963964b9a6db5f464dfb4e4ad9be0d4cf0c792695d7e9815311cd
 DIST tensorflow-patches-2.11.0.tar.bz2 2977 BLAKE2B 53672704ccfc5291f7070421af9f7246d2f211689b18f35917d4d166ff5e9ddb623db4dd9dc8054e0f2262b162dd8c2216446c6ca5e2bf538872debf8eb8aec1 SHA512 866c6abb78934c1a645ab3172f93d81423e2023fa1e8688255ef0777e340d810a6889c838b841be765f0897f7a269c4d6cb52b8f59af114bf5b9e181b1348590
+DIST tensorflow-patches-2.12.0.tar.bz2 4194 BLAKE2B b61efaf0ade6ef88b5abb858a84b537e02ff9fcd032a2a7f68a6467e53511a50fff66ef7e1096f343a8909e165b1b76146cb6a8db8e1974eeecf2cbf0b6a71a0 SHA512 2f931fd4b995d33300d392f7dafd6dd23671772f733c28faed239d01e9b032967afb17cab50908fa38956e2cde479a13dfdc632e622d918fe55d281aa9b3dc4e
 DIST tensorflow-runtime-4ce3e4da2e21ae4dfcee9366415e55f408c884ec.tar.gz 15313054 BLAKE2B 316da579b93d83bca43d51198dc65dea12972d73f019a5b78fe53162966e022d21d4225ba4a7786d1a0f376550a1052c59858df04b958768962b88d64d3c5083 SHA512 ea490ebc8a5eef4a7ce6185c19e3b1305fd886c8145ef54387076f458bfec56a8a33452728206afa67001273920f6958317c8c4289e32ac6fea432e15a2502c5
 DIST tensorflow-runtime-6ca793b5d862ef6c50f242d77a811f06cce9b60a.tar.gz 15397674 BLAKE2B 89131434c6d8bf93cfc6ba14ec5455b188ec6527398444a5042d6d17631f9e2c1d192847a6e48338ac9a18d7c63531779d4c7c77183761d7e51ca3e7b6ea17a3 SHA512 b29f616f41ba5fb5639eafba82f2dfc51702eb9937ad720f547d285097c17f1291fa1131e7771d58fc2924c489e7779abc7c04fe230ceb917f4ba751a3893f0e
+DIST tensorflow-runtime-91d765cad5599f9710973d3e34d4dc22583e2e79.tar.gz 15226589 BLAKE2B 5a00d0f884c86f85a25aba8f7d9eee509f35c114e9bfa24ce3effe9437bc549a4a7f013b03b515fbb4a217724a2e2abca96300fba64560b0d0e4fdb05fb9c3ac SHA512 b2fc8a240de1a13fade8628358f410b8f6e1bfde9d2cec3765b62d2ee7eb143c168687a23cb79c7aecd19a668d2d3be46fba361d16ad29b722fe19004aa3c5a2
diff --git a/sci-libs/tensorflow/tensorflow-2.12.0.ebuild b/sci-libs/tensorflow/tensorflow-2.12.0.ebuild
new file mode 100644
index 000000000000..cc9ea6718f88
--- /dev/null
+++ b/sci-libs/tensorflow/tensorflow-2.12.0.ebuild
@@ -0,0 +1,422 @@
+# Copyright 1999-2023 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=8
+
+DISTUTILS_OPTIONAL=1
+PYTHON_COMPAT=( python3_10 python3_11 )
+MY_PV=${PV/_rc/-rc}
+MY_P=${PN}-${MY_PV}
+DEP_VER="$(ver_cut 1-2)"
+
+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/Maratyszcza/FP16/archive/4dfe081cf6bcd15db339cf2680b9281b8451eeb3.zip -> FP16-4dfe081cf6bcd15db339cf2680b9281b8451eeb3.zip
+	https://github.com/Maratyszcza/FXdiv/archive/63058eff77e11aa15bf531df5dd34395ec3017c8.zip -> FXdiv-63058eff77e11aa15bf531df5dd34395ec3017c8.zip
+	https://github.com/Maratyszcza/pthreadpool/archive/b8374f80e42010941bda6c85b0e3f1a1bd77a1e0.zip -> pthreadpool-b8374f80e42010941bda6c85b0e3f1a1bd77a1e0.zip
+	https://github.com/bazelbuild/apple_support/releases/download/1.1.0/apple_support.1.1.0.tar.gz
+	https://github.com/bazelbuild/bazel-skylib/releases/download/1.3.0/bazel-skylib-1.3.0.tar.gz
+	https://github.com/bazelbuild/bazel-toolchains/archive/8c717f8258cd5f6c7a45b97d974292755852b658.tar.gz -> bazel-toolchains-8c717f8258cd5f6c7a45b97d974292755852b658.tar.gz
+	https://github.com/bazelbuild/platforms/releases/download/0.0.6/platforms-0.0.6.tar.gz -> bazelbuild-platforms-0.0.6.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/1.0.1/rules_apple.1.0.1.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_jvm_external/archive/4.3.zip -> bazelbuild-rules_jvm_external-4.3.zip
+	https://github.com/bazelbuild/rules_pkg/releases/download/0.7.1/rules_pkg-0.7.1.tar.gz -> bazelbuild-rules_pkg-0.7.1.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/1.0.0/rules_swift.1.0.0.tar.gz -> bazelbuild-rules_swift.1.0.0.tar.gz
+	https://github.com/dmlc/dlpack/archive/9351cf542ab478499294864ff3acfdab5c8c5f3d.tar.gz -> dlpack-9351cf542ab478499294864ff3acfdab5c8c5f3d.tar.gz
+	https://github.com/google/XNNPACK/archive/659147817805d17c7be2d60bd7bbca7e780f9c82.zip -> XNNPACK-659147817805d17c7be2d60bd7bbca7e780f9c82.zip
+	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/c13d28517a4db259d738ea4886b1f00352a3cc33.tar.gz -> highwayhash-c13d28517a4db259d738ea4886b1f00352a3cc33.tar.gz
+	https://github.com/google/re2/archive/a276a8c738735a0fe45a6ee590fe2df69bcf4502.tar.gz -> re2-a276a8c738735a0fe45a6ee590fe2df69bcf4502.tar.gz
+	https://github.com/google/ruy/archive/3286a34cc8de6149ac6844107dfdffac91531e72.zip -> ruy-3286a34cc8de6149ac6844107dfdffac91531e72.zip
+	https://github.com/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz
+	https://github.com/llvm/llvm-project/archive/10939d1d580b9d3c9c2f3539c6bdb39f408179c0.tar.gz -> llvm-project-10939d1d580b9d3c9c2f3539c6bdb39f408179c0.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/131.1.0.tar.gz -> kissfft-131.1.0.tar.gz
+	https://github.com/oneapi-src/oneDNN/archive/refs/tags/v2.7.3.tar.gz -> oneDNN-v2.7.3.tar.gz
+	https://github.com/openxla/stablehlo/archive/51f005f0a8ff6e28f535adfec4de936cb4097aa4.zip -> openxla-stablehlo-51f005f0a8ff6e28f535adfec4de936cb4097aa4.zip
+	https://github.com/openxla/triton/archive/2c3853269281da6742cf469a5ca5772947d271ce.tar.gz -> openxla-triton-2c3853269281da6742cf469a5ca5772947d271ce.tar.gz
+	https://github.com/petewarden/OouraFFT/archive/v1.0.tar.gz -> OouraFFT-v1.0.tar.gz
+	https://github.com/pytorch/cpuinfo/archive/3dc310302210c1891ffcfb12ae67b11a3ad3a150.tar.gz -> pytorch-cpuinfo-3dc310302210c1891ffcfb12ae67b11a3ad3a150.tar.gz
+	https://github.com/pytorch/cpuinfo/archive/3dc310302210c1891ffcfb12ae67b11a3ad3a150.zip -> pytorch-cpuinfo-3dc310302210c1891ffcfb12ae67b11a3ad3a150.zip
+	https://github.com/tensorflow/runtime/archive/91d765cad5599f9710973d3e34d4dc22583e2e79.tar.gz -> tensorflow-runtime-91d765cad5599f9710973d3e34d4dc22583e2e79.tar.gz
+	https://gitlab.com/libeigen/eigen/-/archive/3460f3558e7b469efb8a225894e21929c8c77629/eigen-3460f3558e7b469efb8a225894e21929c8c77629.tar.gz
+	cuda? (
+		https://github.com/NVIDIA/cudnn-frontend/archive/refs/tags/v0.7.3.zip -> cudnn-frontend-v0.7.3.zip
+		https://github.com/NVlabs/cub/archive/1.9.9.zip -> cub-1.9.9.zip
+		https://github.com/nvidia/nccl/archive/v2.16.2-1.tar.gz -> nvidia-nccl-v2.16.2-1.tar.gz
+	)
+	python? (
+		https://github.com/intel/ARM_NEON_2_x86_SSE/archive/a15b489e1222b2087007546b4912e21293ea86ff.tar.gz -> ARM_NEON_2_x86_SSE-a15b489e1222b2087007546b4912e21293ea86ff.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-1.25.0
+	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-11.9_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-${DEP_VER}[${PYTHON_USEDEP}]
+	)"
+DEPEND="${RDEPEND}
+	python? (
+		dev-python/mock
+		dev-python/setuptools
+	)"
+PDEPEND="python? (
+		>=sci-libs/keras-${DEP_VER}[${PYTHON_USEDEP}]
+		>=sci-libs/tensorflow-estimator-${DEP_VER}[${PYTHON_USEDEP}]
+	)"
+BDEPEND="
+	app-arch/unzip
+	>=dev-libs/protobuf-3.8.0
+	dev-java/java-config
+	=dev-util/bazel-5*
+	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="${SYSLIBS[@]}"
+		export TF_IGNORE_MAX_BAZEL_VERSION=1
+
+		# This is not autoconf
+		./configure || die
+
+		echo 'build --config=noaws --config=nohdfs --config=nonccl' >> .bazelrc || die
+		echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
+		echo "build --action_env=KERAS_HOME=\"${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"
+}