[gentoo-commits] repo/gentoo:master commit in: sci-libs/tensorflow/files/, sci-libs/tensorflow/

[Jason Zaman]

commit:     1b40fafc11d0fa99a1c5b97111b5e23ba421c0b4
Author:     Jason Zaman <perfinion <AT> gentoo <DOT> org>
AuthorDate: Sat Aug 29 22:04:18 2020 +0000
Commit:     Jason Zaman <perfinion <AT> gentoo <DOT> org>
CommitDate: Sun Aug 30 00:25:11 2020 +0000
URL:        https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=1b40fafc

sci-libs/tensorflow: Drop 1.15 and 2.0

Package-Manager: Portage-2.3.103, Repoman-2.3.23
Signed-off-by: Jason Zaman <perfinion <AT> gentoo.org>

 sci-libs/tensorflow/Manifest                       |   8 -
 ...dd-rules-docker-http_archive-bazel-toolch.patch |  38 ---
 ..._rc0-0002-systemlibs-unbundle-functools32.patch |  61 ----
 .../tensorflow-2.1.0-cuda_10.2_support_bin2c.patch |  12 -
 sci-libs/tensorflow/tensorflow-1.15.0.ebuild       | 360 ---------------------
 sci-libs/tensorflow/tensorflow-2.0.0.ebuild        | 359 --------------------
 6 files changed, 838 deletions(-)

diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest
index 96ff16f223c..1640aa58f4d 100644
--- a/sci-libs/tensorflow/Manifest
+++ b/sci-libs/tensorflow/Manifest
@@ -3,7 +3,6 @@ DIST abseil-cpp-43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz 1281523 BLAKE2B
 DIST backports.weakref-1.0rc1.tar.gz 7761 BLAKE2B 4cb2554a4b71bb1f8c41a790268511e4b382effc7e0328f74346d086de539a177111de9e2dabac19a44b2a1cdbf59a7425e30eee4caa4bfe66b0ca97f1f460a9 SHA512 f37e9eb0d9060d2e1588a941f623460bd4477d7e180b38b5cd46d9c1db1ee094ae63e4f5eeeb422823bf3d067f46c4124cb124a9e4ddb795bc0bfbc4802ab826
 DIST bazel-skylib.0.8.0.tar.gz 72941 BLAKE2B 1928989d3e5dc338fee974c5592a524adb492db172b1d2a849ed5f14f91dbb76606335d369e4b15c4eec41adfe3a23cdc5b4f3b2f1351a5e9c25103c002b96a2 SHA512 4729941cedca8ddb876a621b28221d3c17dbb5dd72af27e55f48274208f21db986c5e7cb8adb742c42124bfa8073eb782b49e2557cb3f3f95ca56833fef925c0
 DIST bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz 660374 BLAKE2B 549292aa3ad8a6e01c29391a123f3cbc84d1f714ff9c68bfc6c8df07fa0ba3b19c22e61627f227a8a484f6d7d6c59935fd7560c447559ff5e774ddf1437eefe1 SHA512 83531a2646a9f63557eff6fefaf551ee7e9f0ccdb31374d7a17c35b9f9d844b9b405597972fcd31b2b68e9da312511bbfd9c8fbb75222f5924e1d2500cd1c2a6
-DIST bazel-toolchains-94d31935a2c94fe7e7c7379a0f3393e181928ff7.tar.gz 505681 BLAKE2B f16225eb11859f487335bddca115c9c2a05731f4bfe4240609a47e17b706d9a25b6b363b61404b4d5df0471e4dd9b4b9befbf78dbcb1c7c11e3f590039ff92b2 SHA512 7723baf2c710adb063375a33fd64e3941fae7e98c824764c266d5554cc0b0cbb1c91a5c2a9058bb4c8766ec404ca556199ce22965a6de4baee09cb740b7671c9
 DIST bazel_skylib-0.9.0.tar.gz 84644 BLAKE2B 40b69a524e632ea00d34b9cf805b882ac4c549dd465ef37f28e54729ff1b614a7610a4895cede4e0c938edba5b19f781f3c0bfdb62bde628ee0af21d6b679546 SHA512 af4bcb641fed05d15f2d0ffe0e3abdfe9c7a5deb9c53064992d6605d224ded1648b1bdfa293e161028913f9f2c178c68cc38bc16028892ca5b0f52b4e645209d
 DIST bazelbuild-apple_support.0.7.1.tar.gz 20070 BLAKE2B e72098fc5017e3371b6af0f33f392a42da18376052f30db5dd602c5ccc0176c1ac8002cca3f598845c5cb33406b4fd8d30c5ea47c69add6c530b75dc6566a4b0 SHA512 bbab25c229404123d7d424fa261480cf887c749ae729cc1a00bd6c2554d4b4b3fa81e0eaa670542b3a5d3301f3bd5dcd7727d011ba854f13dbbf4f65895e4b08
 DIST bazelbuild-rules_apple.0.18.0.tar.gz 1333446 BLAKE2B c7667e05c236f4de44573707c795d31c980242a2ea6eb69261403e7b1b7cc852d899c9b76cba347df1b1006542f9d532d78586a3bf5f831d37f8f0c0cd79a8eb SHA512 209b21856642b03dc7d54c0c82826224167df7da4c6dda3d29490e0661cdfe35ad9abe763288e0ff80af4d681a361efb22e0ca45ead6fb96fd38f211bcb4435d
@@ -13,12 +12,9 @@ DIST bazelbuild-rules_closure-308b05b2419edb5c8ee0471b67a40403df940149.tar.gz 46
 DIST bazelbuild-rules_docker-v0.10.0.tar.gz 549649 BLAKE2B e7a537b21138a5c5d9ce360e46238f57c917d2dbf5dd17887607402227cbe7c5d68aead9db0ecdb74c09eed9dac26eb86e004a9020c251152d15beb48be0e0d7 SHA512 7802107f8520c88646728800637cce54dbcefc54aa4361288a5b46e403e41998bc23e16fbe94f23a2ca52e5c33fc255af65846963c2fd0139ca1195435ce1b03
 DIST bazelbuild-rules_java-7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip 9422 BLAKE2B bbc45c97551ee8126335b611ffca6574dac843d4db9b3221b10d26487f8eecfe38ba0cd67a4039a3ad921c25fea6294c43e4f4e7a57a060a30791acd6c4f9d39 SHA512 ba06242feb711e7fb6e821fd9ac029248b4f3e466fb1acf971d0db8196f3efe4d114ef137acbe4913073f8cbe8ccab4d47d8bafa21b867b2d6a6d57f5a647f0c
 DIST bazelbuild-rules_python-0.0.1.tar.gz 2302092 BLAKE2B 1db52eebf2461d779f764f2afdd070d1d0dd65eb2b83ccd98c2831da1784614ca281b114064729a9f257c64eceb62975aac8362d231c84f32abdf19aee7a1852 SHA512 40fa069a4482e2f83e29dc8e109652d14d187b2ec8efdcd36e98d117de93d66a938ed74999b42a2293fcb6eccc0a111cbbcf65c5c155579214bb1b96644280a5
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 DIST farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz 467122 BLAKE2B 8b9dd426f4b9f732df6c8c09d868d1b1cc006c395b1525c46ea91c75318b723358c8e64bb0d86a73aace2032eded93f0d80cc7c2c77fddd6a39e3402ab4f2cb7 SHA512 7f5110514a8cdc7ce48d33fd94ad67d96a24e42e11b203e4d0986f4190545f051b2a63f8e09f2ac38c3aa4a5c62d9a0e02cd8ce02045037381fb62a99f0dcd00
@@ -26,8 +22,6 @@ DIST gemmlowp-12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip 935628 BLAKE2B 09bd1d
 DIST highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz 138574 BLAKE2B cecd95039fc31545ced38a1949e7cb31d6f34deef7c8923b573aa7a632576d0a9b60fd24fbc8a40b8a840a7d2442ea28382fe842178a77467772ed4ba8a2cfb6 SHA512 d25162ed266a8c9c00e6978fcf642cf924f03c0d196f971d0d6f6a3454ca7dfc82f758eabd038ac08e0a5dacc51eccb9b674f588f64692f37cb7a17150aefe4f
 DIST kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz 44744 BLAKE2B aeea5d23c122417ddb70a44354890242c4fb61c456fba9af79054293a1355939af51a681760ac27be55423f888649fd2826e634422c7e9cb3749a9d7f50ef990 SHA512 30f4fcd351bbcb950a27e2a77ca100ccdfd37deb17a05e7e31c3e8f1c56d7c626ab81bbd7497484e6b512e41f7b1bed714722a194b2218c669b297911101df7b
 DIST llvm-387c3f74fd8efdc0be464b0e1a8033cc1eeb739c.tar.gz 115936989 BLAKE2B 624b4a898321e62002cbf3955f844755b3ba6b1c8acf9a310ddac19cf21f9627902eb0b3684e42bac1fe835be972322a5cc667f78a6e2b0e699f956e0cab81e8 SHA512 09ec39ec7a25703bbb47befb406be3de6d15232c971fa186e33dff80192876a827e35523a9782365e26a90abd42b32b9a2ee1443af71cc23cd825b3ff05df629
-DIST llvm-7a7e03f906aada0cf4b749b51213fe5784eeff84.tar.gz 50144723 BLAKE2B b744756c9782e5506fd6628531409e305bd9ce9a79f1776c4fe674cec5b01a86ab1793dc602f704d295587c3d769d622402a4fe07c0d66269c7f610178693bce SHA512 43f185c8dd38ae7cb048bb9c98fb94e1f43ce66764b43a7141a06a1a0b011389fa139f34b7eaee72c39b8f44aeeff3e7a2189c11d10f8f8a93e9792a1acf2b5f
-DIST llvm-b7d166cebcf619a3691eed3f994384aab3d80fa6.tar.gz 49997477 BLAKE2B 66cbd71a4ad65768fb39fd622efd54a7821b83eb105871e82e0b99074960cb4ebd8197ef984b0be29d5178a7ce3c0d4839d2d611c96fe1507227f7f28fd7e156 SHA512 79c6d4986cedfc132f085d2794f295fdbefa772cb53d3870963d4851ea15ce8e2863aa50c903930abaff53d818ad97acfe8acd1c923ccbe26e3a99ac2397ae9f
 DIST llvm-ecc999101aadc8dc7d4af9fd88be10fe42674aa0.tar.gz 115788302 BLAKE2B ea18d6cb3cc8311a78e543996d88831e1ecf1dec58b7c890a80cd8fce86e1c52244b9cfc0d7ce0867480465c2d914555c16cf003bfdcf90056d63e8f4e0ea0c0 SHA512 5422762ffe1022ad4588bcf2bdce1a041c37b5edffed70fcefdd911b2dbf8b52cba9ec57670d48d7b69be6b71e354d333d6eaa5ac5260df56ed8ab18fd98fe88
 DIST nvidia-nccl-0ceaec9cee96ae7658aa45686853286651f36384.tar.gz 107044 BLAKE2B fd018b1d40977add357e98382f41e3fa6456bdc9a181e2d6cc7a3bc7fb98d242b3216b5ed0c40323bbcc006ab5221b49819ebc1dccd0c8dd700d9504f085eed1 SHA512 e66f323abb68feeec41927cc23e3a85d82fd1b7105a6232626edba95acb9eb22b3fb8b28d1a7adb536c47c936f68271fe5d8f66d3059e3128608ad826dd7622e
 DIST nvidia-nccl-3701130b3c1bcdb01c14b3cb70fe52498c1e82b7.tar.gz 123898 BLAKE2B 9a268e089877fde9ac900b43bbf829f7dedfa701b017568647e3564670d5457dc18c96846a2cc8674b243c0c7d97d322e7466167c322588af3ad4f2d189b175b SHA512 9b090a963213eb088edf247e72b51a6cc79669f507831b88205c75a006a43f3d2257c4e75a34c33987c7d95c421e2273642db4c716b02907e8de1b1ef5d080f0
@@ -36,8 +30,6 @@ DIST pybind11-v2.3.0.tar.gz 564520 BLAKE2B a7c1485aa8f63a00eccd3103cf9f531a080b0
 DIST re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz 316237 BLAKE2B 8a975bc3e78b690f70944651c7022c6d946f40b2eb5fe01b2e203141f94b890cf1ad5c72af8e7c6ff3c5242d42af5a8657ed69e3c74d9ac081beb15de6334c0c SHA512 e3e00e92700d08bc55ba0e96148ddf1e00de2d329c1fdac08691ff15976937829f66dbc84af886a4b749ad66ba4ab208d66811e97e33bb9c2d7359735406c450
 DIST sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz 2569603 BLAKE2B cd66dc8a0b4ad3ea586a79ef588c8d68e4f05b6ea89e6d8119b5ee338b9046c11a747ca57c2f80a3c90fab119c05e85f5965571c9e522ccb8a312b95804d1a36 SHA512 b819d050bb38246b503f1eb3d6e7d878d0f166f3602ae3c327749b1f6ddc2b1d6ac7f768b1f1d055b98b7b98812e4643a75bcebc9728c7f615d67ca739761b3e
 DIST tensorflow-1.15.0-python-license.rst.txt 45132 BLAKE2B 8a8ace4b64fd9eda1932272704dd4fea002d2562cd9c2c94470d3ff5de58bb171ff849d3f998ea90cd779d1084d39af1267aca8400b74b701205d2e76e6a2628 SHA512 c79c42f4ceecf33c8f8778ca17b53595b75d5d0bdf30b11058cf01dd70a6351f530ca9dd846460aba14edc1d5876f7bf6fa0f9f49f7915590b0f54d267ce3856
-DIST tensorflow-1.15.0.tar.gz 46183168 BLAKE2B 5ccd87d5b53d6c543728e9c7ef96f12149bd8729620838b07a28f752fd5c57ef88350c2b62e8c44ec3561469eda38d8a64cbfca5e1ac7850674e1dd2c4d605d6 SHA512 f8683a950be6a3fa234d42e0f46bd9e049280e0c1d203c5c00ad44cf4728d894f2c301939d6d71203f815130a1ead53127adcc7565009589ff5aafc878b4dba7
-DIST tensorflow-2.0.0.tar.gz 46176997 BLAKE2B 761e91a774f61b50459240a83fe52f723a76c2cc3eaf7c371684849cb7365b94fb3743ab8de9adffe64bef0f70da2bb0b7e6426a3f402e436eff841d3edefe8d SHA512 c3a2cb9673d2ade8e83961f7d944165123d0e4d94e6ca4d8fdee4f02f536893b879bbbf78d3ad5e557467b58f97f7194f2d9cfc64d7d05540969be732070eecc
 DIST tensorflow-2.1.0.tar.gz 41637803 BLAKE2B 63aac95cdb71097d2e7a257a691a2b51703fb22d2535395494adebfae0d3f97f8dd9e0deaadf1c2f3d3d26138066a7c6fb9b9728b5b0ac3d54360d7b5e4bebff SHA512 6d09ba3c097e4b3d712e7164d649841572c418d56c207eea6d31e3b1851b84ce57e82801d9887d84cfd8fcf990a3ea4c4b4b05265f8d625509986412c230c3c6
 DIST tensorflow-2.2.0.tar.gz 42100791 BLAKE2B 8b773ae9945ca267af33a34d86f6aef02310976bea1cdd98858d1405e8da845640b72a073b71fcfccb2b73f08600a5eada2c2332a8d9480bba71e9f25dbb2220 SHA512 94a2663497d333d543f363e9fea94fbcfdcdbbc0dfbaf009ba9181a808713aeb78f9b8805f56bea5fd3925a36f105427b3996795750589f378d8afbdadc2b86d
 DIST tensorflow-patches-2.1.0.tar.bz2 5737 BLAKE2B 67f5004312389ed19e810aad9f2d5d4839d806b5a7422963520e0dff06b91346683647db757ac463af13ca70861a7ed9c94be242910abacc6be350e162947225 SHA512 a20bfb619d59e0d2741a27ce36e3d38dbb7a5a706d6bc56f8aa94b5b72288139ad301fc06390b128ef1c3a88b758d09d0224351590dedcda9c5309cc55af6fed

diff --git a/sci-libs/tensorflow/files/tensorflow-1.15.0_rc0-0001-WORKSPACE-add-rules-docker-http_archive-bazel-toolch.patch b/sci-libs/tensorflow/files/tensorflow-1.15.0_rc0-0001-WORKSPACE-add-rules-docker-http_archive-bazel-toolch.patch
deleted file mode 100644
index 08c7458f770..00000000000
--- a/sci-libs/tensorflow/files/tensorflow-1.15.0_rc0-0001-WORKSPACE-add-rules-docker-http_archive-bazel-toolch.patch
+++ /dev/null
@@ -1,38 +0,0 @@
-From 9a44d8e10d726cae992e611575b9dcb1627beede Mon Sep 17 00:00:00 2001
-From: Jason Zaman <jason@×××××××××.com>
-Date: Wed, 11 Sep 2019 12:08:34 +0800
-Subject: [PATCH 1/2] WORKSPACE: add rules-docker http_archive,
- bazel-toolchains uses git_repo
-
-git_repository() rules cannot pull from --distdir and fail when building
-without internet access. Use http_archive instead and pin the sha256
-hash as well.
-
-Signed-off-by: Jason Zaman <jason@×××××××××.com>
----
- WORKSPACE | 9 +++++++++
- 1 file changed, 9 insertions(+)
-
-diff --git a/WORKSPACE b/WORKSPACE
-index 74ea14d0fd..ccff2ba30f 100644
---- a/WORKSPACE
-+++ b/WORKSPACE
-@@ -12,6 +12,15 @@ http_archive(
-     ],
- )
- 
-+http_archive(
-+    name = "io_bazel_rules_docker",
-+    sha256 = "7d453450e1eb70e238eea6b31f4115607ec1200e91afea01c25f9804f37e39c8",
-+    strip_prefix = "rules_docker-0.10.0",
-+    urls = [
-+        "https://github.com/bazelbuild/rules_docker/releases/download/v0.10.0/rules_docker-v0.10.0.tar.gz",
-+    ],
-+)
-+
- # Load tf_repositories() before loading dependencies for other repository so
- # that dependencies like com_google_protobuf won't be overridden.
- load("//tensorflow:workspace.bzl", "tf_repositories")
--- 
-2.21.0
-

diff --git a/sci-libs/tensorflow/files/tensorflow-1.15.0_rc0-0002-systemlibs-unbundle-functools32.patch b/sci-libs/tensorflow/files/tensorflow-1.15.0_rc0-0002-systemlibs-unbundle-functools32.patch
deleted file mode 100644
index f8b72daddfc..00000000000
--- a/sci-libs/tensorflow/files/tensorflow-1.15.0_rc0-0002-systemlibs-unbundle-functools32.patch
+++ /dev/null
@@ -1,61 +0,0 @@
-From 05f57f785aeb58146b3873d4a0c614d897c56293 Mon Sep 17 00:00:00 2001
-From: Jason Zaman <jason@×××××××××.com>
-Date: Wed, 11 Sep 2019 18:18:42 +0800
-Subject: [PATCH 2/2] systemlibs: unbundle functools32
-
-Signed-off-by: Jason Zaman <jason@×××××××××.com>
----
- tensorflow/workspace.bzl                     |  1 +
- third_party/systemlibs/functools32.BUILD     | 15 +++++++++++++++
- third_party/systemlibs/syslibs_configure.bzl |  1 +
- 3 files changed, 17 insertions(+)
- create mode 100644 third_party/systemlibs/functools32.BUILD
-
-diff --git a/tensorflow/workspace.bzl b/tensorflow/workspace.bzl
-index d9fadc1030..760b7cd905 100755
---- a/tensorflow/workspace.bzl
-+++ b/tensorflow/workspace.bzl
-@@ -325,6 +325,7 @@ def tf_repositories(path_prefix = "", tf_repo_name = ""):
-         build_file = clean_dep("//third_party:functools32.BUILD"),
-         sha256 = "f6253dfbe0538ad2e387bd8fdfd9293c925d63553f5813c4e587745416501e6d",
-         strip_prefix = "functools32-3.2.3-2",
-+        system_build_file = clean_dep("//third_party/systemlibs:functools32.BUILD"),
-         urls = [
-             "https://storage.googleapis.com/mirror.tensorflow.org/pypi.python.org/packages/c5/60/6ac26ad05857c601308d8fb9e87fa36d0ebf889423f47c3502ef034365db/functools32-3.2.3-2.tar.gz",
-             "https://pypi.python.org/packages/c5/60/6ac26ad05857c601308d8fb9e87fa36d0ebf889423f47c3502ef034365db/functools32-3.2.3-2.tar.gz",
-diff --git a/third_party/systemlibs/functools32.BUILD b/third_party/systemlibs/functools32.BUILD
-new file mode 100644
-index 0000000000..5567ef6943
---- /dev/null
-+++ b/third_party/systemlibs/functools32.BUILD
-@@ -0,0 +1,15 @@
-+# Description:
-+#   functools32 provides a backport of the functools module for Python 2.
-+
-+licenses(["notice"])  # Python 2.0
-+
-+package(default_visibility = ["//visibility:public"])
-+
-+filegroup(
-+    name = "LICENSE",
-+)
-+
-+py_library(
-+    name = "functools32",
-+    srcs_version = "PY2AND3",
-+)
-diff --git a/third_party/systemlibs/syslibs_configure.bzl b/third_party/systemlibs/syslibs_configure.bzl
-index f83c0dd3d5..0884be8416 100644
---- a/third_party/systemlibs/syslibs_configure.bzl
-+++ b/third_party/systemlibs/syslibs_configure.bzl
-@@ -22,6 +22,7 @@ VALID_LIBS = [
-     "double_conversion",
-     "enum34_archive",
-     "flatbuffers",
-+    "functools32_archive",
-     "gast_archive",
-     "gif_archive",
-     "grpc",
--- 
-2.21.0
-

diff --git a/sci-libs/tensorflow/files/tensorflow-2.1.0-cuda_10.2_support_bin2c.patch b/sci-libs/tensorflow/files/tensorflow-2.1.0-cuda_10.2_support_bin2c.patch
deleted file mode 100644
index 4cc2f608d5d..00000000000
--- a/sci-libs/tensorflow/files/tensorflow-2.1.0-cuda_10.2_support_bin2c.patch
+++ /dev/null
@@ -1,12 +0,0 @@
-diff --git a/third_party/nccl/build_defs.bzl.tpl b/third_party/nccl/build_defs.bzl.tpl
-index 5719139855..5f5c3a1008 100644
---- a/third_party/nccl/build_defs.bzl.tpl
-+++ b/third_party/nccl/build_defs.bzl.tpl
-@@ -113,7 +113,6 @@ def _device_link_impl(ctx):
-             "--cmdline=--compile-only",
-             "--link",
-             "--compress-all",
--            "--bin2c-path=%s" % bin2c.dirname,
-             "--create=%s" % tmp_fatbin.path,
-             "--embedded-fatbin=%s" % fatbin_h.path,
-         ] + images,

diff --git a/sci-libs/tensorflow/tensorflow-1.15.0.ebuild b/sci-libs/tensorflow/tensorflow-1.15.0.ebuild
deleted file mode 100644
index 8190ff5d464..00000000000
--- a/sci-libs/tensorflow/tensorflow-1.15.0.ebuild
+++ /dev/null
@@ -1,360 +0,0 @@
-# Copyright 1999-2020 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=7
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python{3_6,3_7} )
-MY_PV=${PV/_rc/-rc}
-MY_P=${PN}-${MY_PV}
-
-inherit bazel check-reqs cuda distutils-r1 flag-o-matic toolchain-funcs
-
-DESCRIPTION="Computation framework using data flow graphs for scalable machine learning"
-HOMEPAGE="https://www.tensorflow.org/"
-
-LICENSE="Apache-2.0"
-SLOT="0"
-KEYWORDS="~amd64"
-IUSE="cuda mpi +python xla"
-CPU_USE_FLAGS_X86="sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma3 fma4"
-for i in $CPU_USE_FLAGS_X86; do
-	IUSE+=" cpu_flags_x86_$i"
-done
-
-# distfiles that bazel uses for the workspace, will be copied to basel-distdir
-bazel_external_uris="
-	http://www.kurims.kyoto-u.ac.jp/~ooura/fft2d.tgz -> oourafft2d-20061228.tgz
-	https://bitbucket.org/eigen/eigen/get/49177915a14a.tar.gz -> eigen-49177915a14a.tar.gz
-	https://github.com/abseil/abseil-cpp/archive/43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz -> abseil-cpp-43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz
-	https://github.com/bazelbuild/bazel-skylib/releases/download/0.8.0/bazel-skylib.0.8.0.tar.gz
-	https://github.com/bazelbuild/bazel-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz -> bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz
-	https://github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz -> bazelbuild-rules_closure-308b05b2419edb5c8ee0471b67a40403df940149.tar.gz
-	https://github.com/bazelbuild/rules_docker/releases/download/v0.10.0/rules_docker-v0.10.0.tar.gz -> bazelbuild-rules_docker-v0.10.0.tar.gz
-	https://github.com/bazelbuild/rules_swift/releases/download/0.11.1/rules_swift.0.11.1.tar.gz -> bazelbuild-rules_swift.0.11.1.tar.gz
-	https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz -> farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
-	https://github.com/google/gemmlowp/archive/12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip -> gemmlowp-12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip
-	https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
-	https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
-	https://github.com/nlopezgi/bazel-toolchains/archive/94d31935a2c94fe7e7c7379a0f3393e181928ff7.tar.gz -> bazel-toolchains-94d31935a2c94fe7e7c7379a0f3393e181928ff7.tar.gz
-	https://github.com/pybind/pybind11/archive/v2.3.0.tar.gz -> pybind11-v2.3.0.tar.gz
-	https://github.com/llvm-mirror/llvm/archive/7a7e03f906aada0cf4b749b51213fe5784eeff84.tar.gz -> llvm-7a7e03f906aada0cf4b749b51213fe5784eeff84.tar.gz
-	cuda? (
-		https://github.com/nvidia/nccl/archive/0ceaec9cee96ae7658aa45686853286651f36384.tar.gz -> nvidia-nccl-0ceaec9cee96ae7658aa45686853286651f36384.tar.gz
-		https://github.com/NVlabs/cub/archive/1.8.0.zip -> cub-1.8.0.zip
-	)
-	python? (
-		https://github.com/intel/ARM_NEON_2_x86_SSE/archive/1200fe90bb174a6224a525ee60148671a786a71f.tar.gz -> ARM_NEON_2_x86_SSE-1200fe90bb174a6224a525ee60148671a786a71f.tar.gz
-		https://storage.googleapis.com/mirror.tensorflow.org/docs.python.org/2.7/_sources/license.rst.txt -> tensorflow-1.15.0-python-license.rst.txt
-		https://pypi.python.org/packages/bc/cc/3cdb0a02e7e96f6c70bd971bc8a90b8463fda83e264fa9c5c1c98ceabd81/backports.weakref-1.0rc1.tar.gz
-	)"
-
-SRC_URI="https://github.com/${PN}/${PN}/archive/v${MY_PV}.tar.gz -> ${P}.tar.gz
-		${bazel_external_uris}"
-
-RDEPEND="
-	app-arch/snappy
-	dev-db/lmdb
-	dev-db/sqlite
-	dev-libs/double-conversion
-	dev-libs/icu
-	~dev-libs/jsoncpp-1.9.1
-	dev-libs/libpcre
-	dev-libs/nsync
-	dev-libs/openssl:0=
-	>=dev-libs/protobuf-3.6.1:=
-	>=dev-libs/re2-0.2018.04.01
-	media-libs/giflib
-	media-libs/libjpeg-turbo
-	media-libs/libpng:0
-	>=net-libs/grpc-1.22.0
-	net-misc/curl
-	sys-libs/zlib
-	>=sys-apps/hwloc-2
-	cuda? (
-		>=dev-util/nvidia-cuda-toolkit-9.1[profiler]
-		dev-libs/cudnn
-	)
-	mpi? ( virtual/mpi )
-	python? (
-		${PYTHON_DEPS}
-		>=dev-libs/flatbuffers-1.8.0
-		dev-python/absl-py[${PYTHON_USEDEP}]
-		>=dev-python/astor-0.7.1[${PYTHON_USEDEP}]
-		dev-python/gast[${PYTHON_USEDEP}]
-		>=dev-python/numpy-1.16[${PYTHON_USEDEP}]
-		dev-python/google-pasta[${PYTHON_USEDEP}]
-		dev-python/opt-einsum[${PYTHON_USEDEP}]
-		>=dev-python/protobuf-python-3.6.1[${PYTHON_USEDEP}]
-		dev-python/six[${PYTHON_USEDEP}]
-		dev-python/termcolor[${PYTHON_USEDEP}]
-		>=dev-python/grpcio-1.22.0[${PYTHON_USEDEP}]
-		>=dev-python/wrapt-1.11.1[${PYTHON_USEDEP}]
-		>=net-libs/google-cloud-cpp-0.10.0
-		>=sci-libs/keras-applications-1.0.8[${PYTHON_USEDEP}]
-		>=sci-libs/keras-preprocessing-1.0.5[${PYTHON_USEDEP}]
-		=sci-visualization/tensorboard-1*[${PYTHON_USEDEP}]
-	)"
-DEPEND="${RDEPEND}
-	dev-python/mock"
-PDEPEND="python? (
-		=sci-libs/tensorflow-estimator-1*[${PYTHON_USEDEP}]
-	)"
-BDEPEND="
-	app-arch/unzip
-	>=dev-libs/protobuf-3.6.0
-	dev-java/java-config
-	dev-python/mock
-	dev-lang/swig
-	dev-python/cython
-	|| (
-		=dev-util/bazel-0.24*
-		=dev-util/bazel-0.27*
-	)
-	cuda? (
-		>=dev-util/nvidia-cuda-toolkit-9.1[profiler]
-	)
-	!python? ( dev-lang/python )
-	python? (
-		>=dev-python/grpcio-tools-1.22.0
-	)"
-REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
-
-S="${WORKDIR}/${MY_P}"
-
-PATCHES=(
-	"${FILESDIR}/tensorflow-1.15.0_rc0-0001-WORKSPACE-add-rules-docker-http_archive-bazel-toolch.patch"
-	"${FILESDIR}/tensorflow-1.15.0_rc0-0002-systemlibs-unbundle-functools32.patch"
-)
-DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
-CHECKREQS_MEMORY="5G"
-CHECKREQS_DISK_BUILD="5G"
-
-get-cpu-flags() {
-	local i f=()
-	# Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
-	for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
-		use cpu_flags_x86_${i} && f+=( -m${i/_/.} )
-	done
-	use cpu_flags_x86_fma3 && f+=( -mfma )
-	echo "${f[*]}"
-}
-
-pkg_setup() {
-	local num_pythons_enabled
-	num_pythons_enabled=0
-	count_impls(){
-		num_pythons_enabled=$((${num_pythons_enabled} + 1))
-	}
-	use python && python_foreach_impl count_impls
-
-	# 5 G to build C/C++ libs, 5G per python impl
-	CHECKREQS_DISK_BUILD="$((5 + 5 * $num_pythons_enabled))G"
-	check-reqs_pkg_setup
-}
-
-src_unpack() {
-	# Only unpack the main distfile
-	unpack "${P}.tar.gz"
-	bazel_load_distfiles "${bazel_external_uris}"
-}
-
-src_prepare() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	append-flags $(get-cpu-flags)
-	bazel_setup_bazelrc
-
-	if ver_test "$(cuda_toolkit_version)" -ge "10.2"; then
-		eapply "${FILESDIR}/tensorflow-2.1.0-cuda_10.2_support_bin2c.patch"
-	fi
-
-	default
-	use python && python_copy_sources
-
-	use cuda && cuda_add_sandbox
-}
-
-src_configure() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	do_configure() {
-		export CC_OPT_FLAGS=" "
-		export TF_ENABLE_XLA=$(usex xla 1 0)
-		export TF_NEED_OPENCL_SYCL=0
-		export TF_NEED_OPENCL=0
-		export TF_NEED_COMPUTECPP=0
-		export TF_NEED_ROCM=0
-		export TF_NEED_MPI=$(usex mpi 1 0)
-		export TF_SET_ANDROID_WORKSPACE=0
-
-		if use python; then
-			export PYTHON_BIN_PATH="${PYTHON}"
-			export PYTHON_LIB_PATH="$(python_get_sitedir)"
-		else
-			export PYTHON_BIN_PATH="$(which python)"
-			export PYTHON_LIB_PATH="$(python -c 'from distutils.sysconfig import *; print(get_python_lib())')"
-		fi
-
-		export TF_NEED_CUDA=$(usex cuda 1 0)
-		export TF_DOWNLOAD_CLANG=0
-		export TF_CUDA_CLANG=0
-		export TF_NEED_TENSORRT=0
-		if use cuda; then
-			export TF_CUDA_PATHS="${EPREFIX}/opt/cuda"
-			export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)"
-			export TF_CUDA_VERSION="$(cuda_toolkit_version)"
-			export TF_CUDNN_VERSION="$(cuda_cudnn_version)"
-			einfo "Setting CUDA version: $TF_CUDA_VERSION"
-			einfo "Setting CUDNN version: $TF_CUDNN_VERSION"
-
-			if [[ -z "$TF_CUDA_COMPUTE_CAPABILITIES" ]]; then
-				ewarn "WARNING: Tensorflow is being built with its default CUDA compute capabilities: 3.5 and 7.0."
-				ewarn "These may not be optimal for your GPU."
-				ewarn ""
-				ewarn "To configure Tensorflow with the CUDA compute capability that is optimal for your GPU,"
-				ewarn "set TF_CUDA_COMPUTE_CAPABILITIES in your make.conf, and re-emerge tensorflow."
-				ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TF_CUDA_COMPUTE_CAPABILITIES=7.5,3.5"
-				ewarn ""
-				ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus"
-				ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'"
-			fi
-		fi
-
-		local SYSLIBS=(
-			absl_py
-			astor_archive
-			boringssl
-			com_github_googleapis_googleapis
-			com_github_googlecloudplatform_google_cloud_cpp
-			com_google_protobuf
-			com_googlesource_code_re2
-			curl
-			cython
-			double_conversion
-			enum34_archive
-			flatbuffers
-			functools32_archive
-			gast_archive
-			gif_archive
-			grpc
-			hwloc
-			icu
-			jpeg
-			jsoncpp_git
-			keras_applications_archive
-			lmdb
-			nasm
-			nsync
-			opt_einsum_archive
-			org_sqlite
-			pasta
-			pcre
-			png_archive
-			six_archive
-			snappy
-			swig
-			termcolor_archive
-			wrapt
-			zlib_archive
-		)
-
-		export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
-		export TF_IGNORE_MAX_BAZEL_VERSION=1
-
-		# This is not autoconf
-		./configure || die
-
-		echo 'build --config=noaws --config=nohdfs --config=noignite --config=nokafka' >> .bazelrc || die
-		echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
-		echo 'build --incompatible_no_support_tools_in_action_inputs=false' >> .bazelrc || die
-	}
-	if use python; then
-		python_foreach_impl run_in_build_dir do_configure
-	else
-		do_configure
-	fi
-}
-
-src_compile() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	if use python; then
-		python_setup
-		BUILD_DIR="${S}-${EPYTHON/./_}"
-		cd "${BUILD_DIR}"
-	fi
-
-	# fail early if any deps are missing
-	ebazel build --nobuild \
-		//tensorflow:libtensorflow_framework.so \
-		//tensorflow:libtensorflow.so \
-		//tensorflow:libtensorflow_cc.so \
-		$(usex python '//tensorflow/tools/pip_package:build_pip_package' '')
-
-	ebazel build \
-		//tensorflow:libtensorflow_framework.so \
-		//tensorflow:libtensorflow.so
-	ebazel build //tensorflow:libtensorflow_cc.so
-
-	do_compile() {
-		ebazel build //tensorflow/tools/pip_package:build_pip_package
-	}
-	BUILD_DIR="${S}"
-	cd "${BUILD_DIR}"
-	use python && python_foreach_impl run_in_build_dir do_compile
-	ebazel shutdown
-}
-
-src_install() {
-	local i j
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	do_install() {
-		einfo "Installing ${EPYTHON} files"
-		local srcdir="${T}/src-${MULTIBUILD_VARIANT}"
-		mkdir -p "${srcdir}" || die
-		bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "${srcdir}" || die
-		cd "${srcdir}" || die
-		esetup.py install
-
-		# libtensorflow_framework.so is in /usr/lib already
-		rm -f "${D}/$(python_get_sitedir)"/${PN}/lib${PN}_framework.so* || die
-		rm -f "${D}/$(python_get_sitedir)"/${PN}_core/lib${PN}_framework.so* || die
-		python_optimize
-	}
-
-	if use python; then
-		python_foreach_impl run_in_build_dir do_install
-
-		# Symlink to python-exec scripts
-		for i in "${ED}"/usr/lib/python-exec/*/*; do
-			n="${i##*/}"
-			[[ -e "${ED}/usr/bin/${n}" ]] || dosym ../lib/python-exec/python-exec2 "/usr/bin/${n}"
-		done
-
-		python_setup
-		local BUILD_DIR="${S}-${EPYTHON/./_}"
-		cd "${BUILD_DIR}" || die
-	fi
-
-	einfo "Installing headers"
-	ebazel build //tensorflow:install_headers
-	ebazel shutdown
-	insinto /usr/include/${PN}/
-	doins -r bazel-genfiles/tensorflow/include/*
-
-	einfo "Installing libs"
-	# Generate pkg-config file
-	${PN}/c/generate-pc.sh --prefix="${EPREFIX}"/usr --libdir=$(get_libdir) --version=${MY_PV} || die
-	insinto /usr/$(get_libdir)/pkgconfig
-	doins ${PN}.pc ${PN}_cc.pc
-
-	for l in libtensorflow{,_framework,_cc}.so; do
-		dolib.so bazel-bin/tensorflow/${l}
-		dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1)
-		dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1-3)
-	done
-
-	einstalldocs
-}

diff --git a/sci-libs/tensorflow/tensorflow-2.0.0.ebuild b/sci-libs/tensorflow/tensorflow-2.0.0.ebuild
deleted file mode 100644
index 4e04d4e51c6..00000000000
--- a/sci-libs/tensorflow/tensorflow-2.0.0.ebuild
+++ /dev/null
@@ -1,359 +0,0 @@
-# Copyright 1999-2020 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=7
-
-DISTUTILS_OPTIONAL=1
-PYTHON_COMPAT=( python{3_6,3_7} )
-MY_PV=${PV/_rc/-rc}
-MY_P=${PN}-${MY_PV}
-
-inherit bazel check-reqs cuda distutils-r1 flag-o-matic toolchain-funcs
-
-DESCRIPTION="Computation framework using data flow graphs for scalable machine learning"
-HOMEPAGE="https://www.tensorflow.org/"
-
-LICENSE="Apache-2.0"
-SLOT="0"
-KEYWORDS="~amd64"
-IUSE="cuda mpi +python xla"
-CPU_USE_FLAGS_X86="sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma3 fma4"
-for i in $CPU_USE_FLAGS_X86; do
-	IUSE+=" cpu_flags_x86_$i"
-done
-
-# distfiles that bazel uses for the workspace, will be copied to basel-distdir
-bazel_external_uris="
-	https://storage.googleapis.com/mirror.tensorflow.org/www.kurims.kyoto-u.ac.jp/~ooura/fft2d.tgz -> oourafft2d-20061228.tgz
-	https://bitbucket.org/eigen/eigen/get/049af2f56331.tar.gz -> eigen-049af2f56331.tar.gz
-	https://github.com/abseil/abseil-cpp/archive/43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz -> abseil-cpp-43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz
-	https://github.com/bazelbuild/bazel-skylib/releases/download/0.8.0/bazel-skylib.0.8.0.tar.gz
-	https://github.com/bazelbuild/bazel-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz -> bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz
-	https://github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz -> bazelbuild-rules_closure-308b05b2419edb5c8ee0471b67a40403df940149.tar.gz
-	https://github.com/bazelbuild/rules_docker/releases/download/v0.10.0/rules_docker-v0.10.0.tar.gz -> bazelbuild-rules_docker-v0.10.0.tar.gz
-	https://github.com/bazelbuild/rules_swift/releases/download/0.11.1/rules_swift.0.11.1.tar.gz -> bazelbuild-rules_swift.0.11.1.tar.gz
-	https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz -> farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
-	https://github.com/google/gemmlowp/archive/12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip -> gemmlowp-12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip
-	https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
-	https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
-	https://github.com/nlopezgi/bazel-toolchains/archive/94d31935a2c94fe7e7c7379a0f3393e181928ff7.tar.gz -> bazel-toolchains-94d31935a2c94fe7e7c7379a0f3393e181928ff7.tar.gz
-	https://github.com/pybind/pybind11/archive/v2.3.0.tar.gz -> pybind11-v2.3.0.tar.gz
-	https://github.com/llvm-mirror/llvm/archive/b7d166cebcf619a3691eed3f994384aab3d80fa6.tar.gz -> llvm-b7d166cebcf619a3691eed3f994384aab3d80fa6.tar.gz
-	cuda? (
-		https://github.com/nvidia/nccl/archive/0ceaec9cee96ae7658aa45686853286651f36384.tar.gz -> nvidia-nccl-0ceaec9cee96ae7658aa45686853286651f36384.tar.gz
-		https://github.com/NVlabs/cub/archive/1.8.0.zip -> cub-1.8.0.zip
-	)
-	python? (
-		https://github.com/intel/ARM_NEON_2_x86_SSE/archive/1200fe90bb174a6224a525ee60148671a786a71f.tar.gz -> ARM_NEON_2_x86_SSE-1200fe90bb174a6224a525ee60148671a786a71f.tar.gz
-		https://storage.googleapis.com/mirror.tensorflow.org/docs.python.org/2.7/_sources/license.rst.txt -> tensorflow-1.15.0-python-license.rst.txt
-		https://pypi.python.org/packages/bc/cc/3cdb0a02e7e96f6c70bd971bc8a90b8463fda83e264fa9c5c1c98ceabd81/backports.weakref-1.0rc1.tar.gz
-	)"
-
-SRC_URI="https://github.com/${PN}/${PN}/archive/v${MY_PV}.tar.gz -> ${P}.tar.gz
-		${bazel_external_uris}"
-
-RDEPEND="
-	app-arch/snappy
-	dev-db/lmdb
-	dev-db/sqlite
-	dev-libs/double-conversion
-	dev-libs/icu
-	~dev-libs/jsoncpp-1.9.1
-	dev-libs/libpcre
-	dev-libs/nsync
-	dev-libs/openssl:0=
-	>=dev-libs/protobuf-3.6.1:=
-	>=dev-libs/re2-0.2018.04.01
-	media-libs/giflib
-	media-libs/libjpeg-turbo
-	media-libs/libpng:0
-	>=net-libs/grpc-1.22.0
-	net-misc/curl
-	sys-libs/zlib
-	>=sys-apps/hwloc-2
-	cuda? (
-		>=dev-util/nvidia-cuda-toolkit-9.1[profiler]
-		dev-libs/cudnn
-	)
-	mpi? ( virtual/mpi )
-	python? (
-		${PYTHON_DEPS}
-		>=dev-libs/flatbuffers-1.8.0
-		dev-python/absl-py[${PYTHON_USEDEP}]
-		>=dev-python/astor-0.7.1[${PYTHON_USEDEP}]
-		dev-python/gast[${PYTHON_USEDEP}]
-		>=dev-python/numpy-1.16[${PYTHON_USEDEP}]
-		dev-python/google-pasta[${PYTHON_USEDEP}]
-		dev-python/opt-einsum[${PYTHON_USEDEP}]
-		>=dev-python/protobuf-python-3.6.1[${PYTHON_USEDEP}]
-		dev-python/six[${PYTHON_USEDEP}]
-		dev-python/termcolor[${PYTHON_USEDEP}]
-		>=dev-python/grpcio-1.22.0[${PYTHON_USEDEP}]
-		>=dev-python/wrapt-1.11.1[${PYTHON_USEDEP}]
-		>=net-libs/google-cloud-cpp-0.10.0
-		>=sci-libs/keras-applications-1.0.8[${PYTHON_USEDEP}]
-		>=sci-libs/keras-preprocessing-1.0.5[${PYTHON_USEDEP}]
-		>=sci-visualization/tensorboard-2.0.0[${PYTHON_USEDEP}]
-	)"
-DEPEND="${RDEPEND}
-	dev-python/mock"
-PDEPEND="python? (
-		>=sci-libs/tensorflow-estimator-2.0.0[${PYTHON_USEDEP}]
-	)"
-BDEPEND="
-	app-arch/unzip
-	>=dev-libs/protobuf-3.6.0
-	dev-java/java-config
-	dev-python/mock
-	dev-lang/swig
-	dev-python/cython
-	|| (
-		=dev-util/bazel-0.24*
-		=dev-util/bazel-0.27*
-	)
-	cuda? (
-		>=dev-util/nvidia-cuda-toolkit-9.1[profiler]
-	)
-	!python? ( dev-lang/python )
-	python? (
-		>=dev-python/grpcio-tools-1.22.0
-	)"
-REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
-
-S="${WORKDIR}/${MY_P}"
-
-PATCHES=(
-	"${FILESDIR}/tensorflow-1.15.0_rc0-0001-WORKSPACE-add-rules-docker-http_archive-bazel-toolch.patch"
-)
-DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
-CHECKREQS_MEMORY="5G"
-CHECKREQS_DISK_BUILD="5G"
-
-get-cpu-flags() {
-	local i f=()
-	# Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
-	for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
-		use cpu_flags_x86_${i} && f+=( -m${i/_/.} )
-	done
-	use cpu_flags_x86_fma3 && f+=( -mfma )
-	echo "${f[*]}"
-}
-
-pkg_setup() {
-	ewarn "TensorFlow 2.0 is a major release that contains some incompatibilities"
-	ewarn "with TensorFlow 1.x. For more information about migrating to TF2.0 see:"
-	ewarn "https://www.tensorflow.org/guide/migrate"
-
-	local num_pythons_enabled
-	num_pythons_enabled=0
-	count_impls(){
-		num_pythons_enabled=$((${num_pythons_enabled} + 1))
-	}
-	use python && python_foreach_impl count_impls
-
-	# 5G to build C/C++ libs, 5G per python impl
-	CHECKREQS_DISK_BUILD="$((5 + 5 * ${num_pythons_enabled}))G"
-	check-reqs_pkg_setup
-}
-
-src_unpack() {
-	# Only unpack the main distfile
-	unpack "${P}.tar.gz"
-	bazel_load_distfiles "${bazel_external_uris}"
-}
-
-src_prepare() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	append-flags $(get-cpu-flags)
-	bazel_setup_bazelrc
-
-	default
-	use python && python_copy_sources
-
-	use cuda && cuda_add_sandbox
-}
-
-src_configure() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	do_configure() {
-		export CC_OPT_FLAGS=" "
-		export TF_ENABLE_XLA=$(usex xla 1 0)
-		export TF_NEED_OPENCL_SYCL=0
-		export TF_NEED_OPENCL=0
-		export TF_NEED_COMPUTECPP=0
-		export TF_NEED_ROCM=0
-		export TF_NEED_MPI=$(usex mpi 1 0)
-		export TF_SET_ANDROID_WORKSPACE=0
-
-		if use python; then
-			export PYTHON_BIN_PATH="${PYTHON}"
-			export PYTHON_LIB_PATH="$(python_get_sitedir)"
-		else
-			export PYTHON_BIN_PATH="$(which python)"
-			export PYTHON_LIB_PATH="$(python -c 'from distutils.sysconfig import *; print(get_python_lib())')"
-		fi
-
-		export TF_NEED_CUDA=$(usex cuda 1 0)
-		export TF_DOWNLOAD_CLANG=0
-		export TF_CUDA_CLANG=0
-		export TF_NEED_TENSORRT=0
-		if use cuda; then
-			export TF_CUDA_PATHS="${EPREFIX}/opt/cuda"
-			export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)"
-			export TF_CUDA_VERSION="$(cuda_toolkit_version)"
-			export TF_CUDNN_VERSION="$(cuda_cudnn_version)"
-			einfo "Setting CUDA version: $TF_CUDA_VERSION"
-			einfo "Setting CUDNN version: $TF_CUDNN_VERSION"
-
-			if [[ -z "$TF_CUDA_COMPUTE_CAPABILITIES" ]]; then
-				ewarn "WARNING: Tensorflow is being built with its default CUDA compute capabilities: 3.5 and 7.0."
-				ewarn "These may not be optimal for your GPU."
-				ewarn ""
-				ewarn "To configure Tensorflow with the CUDA compute capability that is optimal for your GPU,"
-				ewarn "set TF_CUDA_COMPUTE_CAPABILITIES in your make.conf, and re-emerge tensorflow."
-				ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TF_CUDA_COMPUTE_CAPABILITIES=7.5,3.5"
-				ewarn ""
-				ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus"
-				ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'"
-			fi
-		fi
-
-		local SYSLIBS=(
-			absl_py
-			astor_archive
-			boringssl
-			com_github_googleapis_googleapis
-			com_github_googlecloudplatform_google_cloud_cpp
-			com_google_protobuf
-			com_googlesource_code_re2
-			curl
-			cython
-			double_conversion
-			enum34_archive
-			flatbuffers
-			functools32_archive
-			gast_archive
-			gif_archive
-			grpc
-			hwloc
-			icu
-			jpeg
-			jsoncpp_git
-			keras_applications_archive
-			lmdb
-			nasm
-			nsync
-			opt_einsum_archive
-			org_sqlite
-			pasta
-			pcre
-			png_archive
-			six_archive
-			snappy
-			swig
-			termcolor_archive
-			wrapt
-			zlib_archive
-		)
-
-		export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
-		export TF_IGNORE_MAX_BAZEL_VERSION=1
-
-		# This is not autoconf
-		./configure || die
-
-		echo 'build --config=noaws --config=nohdfs --config=noignite --config=nokafka' >> .bazelrc || die
-		echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
-		echo 'build --incompatible_no_support_tools_in_action_inputs=false' >> .bazelrc || die
-	}
-	if use python; then
-		python_foreach_impl run_in_build_dir do_configure
-	else
-		do_configure
-	fi
-}
-
-src_compile() {
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	if use python; then
-		python_setup
-		BUILD_DIR="${S}-${EPYTHON/./_}"
-		cd "${BUILD_DIR}"
-	fi
-
-	# fail early if any deps are missing
-	ebazel build --nobuild \
-		//tensorflow:libtensorflow_framework.so \
-		//tensorflow:libtensorflow.so \
-		//tensorflow:libtensorflow_cc.so \
-		$(usex python '//tensorflow/tools/pip_package:build_pip_package' '')
-
-	ebazel build \
-		//tensorflow:libtensorflow_framework.so \
-		//tensorflow:libtensorflow.so
-	ebazel build //tensorflow:libtensorflow_cc.so
-
-	do_compile() {
-		ebazel build //tensorflow/tools/pip_package:build_pip_package
-	}
-	BUILD_DIR="${S}"
-	cd "${BUILD_DIR}"
-	use python && python_foreach_impl run_in_build_dir do_compile
-	ebazel shutdown
-}
-
-src_install() {
-	local i j
-	export JAVA_HOME=$(java-config --jre-home) # so keepwork works
-
-	do_install() {
-		einfo "Installing ${EPYTHON} files"
-		local srcdir="${T}/src-${MULTIBUILD_VARIANT}"
-		mkdir -p "${srcdir}" || die
-		bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "${srcdir}" || die
-		cd "${srcdir}" || die
-		esetup.py install
-
-		# libtensorflow_framework.so is in /usr/lib already
-		rm -f "${D}/$(python_get_sitedir)"/${PN}/lib${PN}_framework.so* || die
-		rm -f "${D}/$(python_get_sitedir)"/${PN}_core/lib${PN}_framework.so* || die
-		python_optimize
-	}
-
-	if use python; then
-		python_foreach_impl run_in_build_dir do_install
-
-		# Symlink to python-exec scripts
-		for i in "${ED}"/usr/lib/python-exec/*/*; do
-			n="${i##*/}"
-			[[ -e "${ED}/usr/bin/${n}" ]] || dosym ../lib/python-exec/python-exec2 "/usr/bin/${n}"
-		done
-
-		python_setup
-		local BUILD_DIR="${S}-${EPYTHON/./_}"
-		cd "${BUILD_DIR}" || die
-	fi
-
-	einfo "Installing headers"
-	ebazel build //tensorflow:install_headers
-	ebazel shutdown
-	insinto /usr/include/${PN}/
-	doins -r bazel-genfiles/tensorflow/include/*
-
-	einfo "Installing libs"
-	# Generate pkg-config file
-	${PN}/c/generate-pc.sh --prefix="${EPREFIX}"/usr --libdir=$(get_libdir) --version=${MY_PV} || die
-	insinto /usr/$(get_libdir)/pkgconfig
-	doins ${PN}.pc ${PN}_cc.pc
-
-	for l in libtensorflow{,_framework,_cc}.so; do
-		dolib.so bazel-bin/tensorflow/${l}
-		dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1)
-		dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1-3)
-	done
-
-	einstalldocs
-}