Gentoo Archives: gentoo-commits

From: Jason Zaman <perfinion@g.o>
To: gentoo-commits@l.g.o
Subject: [gentoo-commits] repo/gentoo:master commit in: sci-libs/tensorflow/
Date: Tue, 01 Oct 2019 14:52:37
Message-Id: 1569941505.e986b0ae5a7ea2d428d1d4fb8aeafee250e45654.perfinion@gentoo
1 commit: e986b0ae5a7ea2d428d1d4fb8aeafee250e45654
2 Author: Jason Zaman <perfinion <AT> gentoo <DOT> org>
3 AuthorDate: Tue Oct 1 14:41:57 2019 +0000
4 Commit: Jason Zaman <perfinion <AT> gentoo <DOT> org>
5 CommitDate: Tue Oct 1 14:51:45 2019 +0000
6 URL: https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=e986b0ae
7
8 sci-libs/tensorflow: bump 2.0.0
9
10 Package-Manager: Portage-2.3.76, Repoman-2.3.16
11 Signed-off-by: Jason Zaman <perfinion <AT> gentoo.org>
12
13 sci-libs/tensorflow/Manifest | 3 +
14 sci-libs/tensorflow/tensorflow-2.0.0.ebuild | 351 ++++++++++++++++++++++++++++
15 2 files changed, 354 insertions(+)
16
17 diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest
18 index f1533dbe77d..9645f0bf601 100644
19 --- a/sci-libs/tensorflow/Manifest
20 +++ b/sci-libs/tensorflow/Manifest
21 @@ -16,6 +16,7 @@ DIST bazelbuild-rules_swift.0.11.1.tar.gz 107453 BLAKE2B 8cd686b945b5c9de9c8bfca
22 DIST bazelbuild-rules_swift.0.9.0.tar.gz 105918 BLAKE2B 8f1bd8f5a468e3b37c614cf498a6cd8ceca55b255d6f096ebf88cd77e95148eab3fb5a128ed93b40f6d1ee8988b8dfd300fdf7061fc4ed4f1fb4ab25446ebe58 SHA512 68e985fa30b865317ccf59473cb52873d65159b866a54e35b3fbf83c135f3c750752663e962decbc8ebcd17b5784867d4d4767dd0b706f1182d4715291d8268b
23 DIST cub-1.8.0.zip 602396 BLAKE2B a5e302a52e04f85ae8e1836c59e799532a8b961a8d10c08fe1241c9045f88e31f1ebda6d26124b85c6df40968e1c7b3985a39961bf7614535aafcab2da1a576a SHA512 6167c5be94989f88e05a07508cf69cf2c6b22a5ac733804043daa46bd86a44a15a758b1ffb811bab28b82039d027516ed85b3d9f7677a740a7e00ec9c2f81aed
24 DIST double-conversion-3992066a95b823efc8ccc1baf82a1cfc73f6e9b8.zip 7071029 BLAKE2B 722c190c941b169a3292ce2141c59b8eb1bcc5edd2ed09669592dddb9354e4c6c094dafe02e5a154f215aec776f9f7cebae36b9b0317b10b707282b1ca9449a5 SHA512 1db0d4805c80e9a08d9a581051d8708ddbfe1d74fd820dccde2c2405c45c06a861bd5b535b25d191cd01064e268f3fe71e58bef16fd39471812aea6c2f97da43
25 +DIST eigen-049af2f56331.tar.gz 2485848 BLAKE2B 9d8a91782c9d40b7a6df101d2f43df25b5a3622bc02a7b9576929afb1f2f3d7c8b80671d24f1e31670883003b60c4cc0f3c9dadff0430d2ee047eb5122805edd SHA512 ab37106e9dfebbb42d7919c16b301887607080345b7ed63c8e3b8568489cfdc2c3ca0117a77905162cb3ba8324753040c841d2c96521fa4b9486f0778f1962df
26 DIST eigen-8071cda5714d.tar.gz 2486211 BLAKE2B d5c2bc19d66b4e8508e260ba34a7ebf64c605d0eba3363bf853baaf1329ded80511ee36d54db3e8921eb62a0eab3c3ad2a2d4eac39b5108c2415b20812d998c0 SHA512 364691a5db9d2bd4285e5d5d9b9b2326ffd2138868c33bc2b98975da2aeee03bec7b40654ecc20e0ecc34b2a6d45257c7b9f0055b7310c590cac4c951c2aa635
27 DIST eigen-9f48e814419e.tar.gz 2430237 BLAKE2B 2d9df1a23ae049e57366fa6838ee8d4b3cecf2d859ec5ffa07bf18878976a2bd99d7dd94bb08f484a8941b5cf8ac091f837a533f081232c70a45ee0583143ba3 SHA512 ee6d8773d910dbf6798cb849ef7611f0f7aaef9ed68216e91c65bd996b8a92b6c107454f6d8599d83bfa6dede7144c83924de8479a9138c7b456b086cd527ebf
28 DIST eigen-a0d250e79c79.tar.gz 2468318 BLAKE2B 8799adc1a13612820251cd22a7ddc347ee4711d583561a5df9735bd22ab727c0d8e7fdc894cd7e83b3b972d5adcb86f033bc089e1a4de5fe4e6257f78df88957 SHA512 864646a0b3fd8287fbf6943f4cc7f692a883e6164add21c97e98372641b32e5ceffadc825178b9d11e9504377b837d0e54a264b7a53b28e4f9fc2a23c616d2b3
29 @@ -25,6 +26,7 @@ DIST gemmlowp-38ebac7b059e84692f53e5938f97a9943c120d98.zip 916632 BLAKE2B 0bde9f
30 DIST highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz 138574 BLAKE2B cecd95039fc31545ced38a1949e7cb31d6f34deef7c8923b573aa7a632576d0a9b60fd24fbc8a40b8a840a7d2442ea28382fe842178a77467772ed4ba8a2cfb6 SHA512 d25162ed266a8c9c00e6978fcf642cf924f03c0d196f971d0d6f6a3454ca7dfc82f758eabd038ac08e0a5dacc51eccb9b674f588f64692f37cb7a17150aefe4f
31 DIST kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz 44744 BLAKE2B aeea5d23c122417ddb70a44354890242c4fb61c456fba9af79054293a1355939af51a681760ac27be55423f888649fd2826e634422c7e9cb3749a9d7f50ef990 SHA512 30f4fcd351bbcb950a27e2a77ca100ccdfd37deb17a05e7e31c3e8f1c56d7c626ab81bbd7497484e6b512e41f7b1bed714722a194b2218c669b297911101df7b
32 DIST llvm-7a7e03f906aada0cf4b749b51213fe5784eeff84.tar.gz 50144723 BLAKE2B b744756c9782e5506fd6628531409e305bd9ce9a79f1776c4fe674cec5b01a86ab1793dc602f704d295587c3d769d622402a4fe07c0d66269c7f610178693bce SHA512 43f185c8dd38ae7cb048bb9c98fb94e1f43ce66764b43a7141a06a1a0b011389fa139f34b7eaee72c39b8f44aeeff3e7a2189c11d10f8f8a93e9792a1acf2b5f
33 +DIST llvm-b7d166cebcf619a3691eed3f994384aab3d80fa6.tar.gz 49997477 BLAKE2B 66cbd71a4ad65768fb39fd622efd54a7821b83eb105871e82e0b99074960cb4ebd8197ef984b0be29d5178a7ce3c0d4839d2d611c96fe1507227f7f28fd7e156 SHA512 79c6d4986cedfc132f085d2794f295fdbefa772cb53d3870963d4851ea15ce8e2863aa50c903930abaff53d818ad97acfe8acd1c923ccbe26e3a99ac2397ae9f
34 DIST nvidia-nccl-0ceaec9cee96ae7658aa45686853286651f36384.tar.gz 107044 BLAKE2B fd018b1d40977add357e98382f41e3fa6456bdc9a181e2d6cc7a3bc7fb98d242b3216b5ed0c40323bbcc006ab5221b49819ebc1dccd0c8dd700d9504f085eed1 SHA512 e66f323abb68feeec41927cc23e3a85d82fd1b7105a6232626edba95acb9eb22b3fb8b28d1a7adb536c47c936f68271fe5d8f66d3059e3128608ad826dd7622e
35 DIST nvidia-nccl-f93fe9bfd94884cec2ba711897222e0df5569a53.tar.gz 95617 BLAKE2B 023788db444b1a50f01ab16f126c920f530a6ff5bf2a9327626db45f985b4093c1024d16d43cdee9f0b3ee5c8b7d104f2a6b1dab0460c6b1998b42a0354f6f27 SHA512 d6b4dd4d6c7c9ca2dcf0699055c9193d4b46c0c5155e0108db38094577c92f954f604b2e83ca320873288e0010eaa3c5812f05f7fafe5112bebbca78e56cb279
36 DIST oourafft-20061228.tgz 72213 BLAKE2B 4a3ac2b4c0bc3275b5743df59241e1cdbd0200371c153ddf54ef6c7c4ec523ee6560547e2d5ef9f3200037c0635bf41c18991ac35f271b1e600d0dbd65d1a9a7 SHA512 f1ceac00cb7b9eb8f625eee7f1f5eea8af363343589a344226628d68baf668c176e6c23b7f904c4e682330352eaa0cd5d00731340d208e94c9657b8f85ae2240
37 @@ -37,5 +39,6 @@ DIST tensorflow-1.14.0-python-license.rst.txt 45132 BLAKE2B 8a8ace4b64fd9eda1932
38 DIST tensorflow-1.14.0.tar.gz 41335204 BLAKE2B d91d84c5d86c838cc659c45e28cf3c8a9ec9a02f5854a1826680806dae41cdd00ea49a6d2c04f2019b3400c6e267c6ca6f3b28e43b244569dca174ff7f2c59d6 SHA512 ac9ea5a2d1c761aaafbdc335259e29c128127b8d069ec5b206067935180490aa95e93c7e13de57f7f54ce4ba4f34a822face22b4a028f60185edb380e5cd4787
39 DIST tensorflow-1.15.0-python-license.rst.txt 45132 BLAKE2B 8a8ace4b64fd9eda1932272704dd4fea002d2562cd9c2c94470d3ff5de58bb171ff849d3f998ea90cd779d1084d39af1267aca8400b74b701205d2e76e6a2628 SHA512 c79c42f4ceecf33c8f8778ca17b53595b75d5d0bdf30b11058cf01dd70a6351f530ca9dd846460aba14edc1d5876f7bf6fa0f9f49f7915590b0f54d267ce3856
40 DIST tensorflow-1.15.0_rc0.tar.gz 46177850 BLAKE2B a4cb339018d04da26993400e99bacbe8c88dd68e17158b3effac125ee90b73d441084d530359912c40d1981c7688511ad41117067428233e9310c1fc8617f1d0 SHA512 f9ba5f2c952b7d8be0f3e2b78336513efa07d5323bc28217335391538577ba2b91687cf92f759d4ec03b02dd1c2961de4b54df205e7952c706f5b632029b7c7d
41 +DIST tensorflow-2.0.0.tar.gz 46176997 BLAKE2B 761e91a774f61b50459240a83fe52f723a76c2cc3eaf7c371684849cb7365b94fb3743ab8de9adffe64bef0f70da2bb0b7e6426a3f402e436eff841d3edefe8d SHA512 c3a2cb9673d2ade8e83961f7d944165123d0e4d94e6ca4d8fdee4f02f536893b879bbbf78d3ad5e557467b58f97f7194f2d9cfc64d7d05540969be732070eecc
42 DIST tensorflow-patches-1.14.0-r2.tar.bz2 7213 BLAKE2B 51719fc02049d564b7e5c00a76375af9a7e8dfc73753ba5f0d53163dc1fa00d23bb7ed03553a0bce68b8b90cd5bfe21d29e7a57a827db2c68ceef65f3cb0e925 SHA512 35e1a410060cdde99df148bfd06f042b91e021f7a692ae9c0100c67555de553bc248d73db762ed0239117296fb1147e2b67cdf0dd3dc94dee6fe9804c08a7360
43 DIST tensorflow-python-license.rst.txt 45132 BLAKE2B 770ddd87adc745a021daac01a284131825a33f176002a28b20a2251246183bf7ab4686305620678285e4a216a37f01b3ad953fe7864fa79611cccde156d69ab6 SHA512 2d5a3783ec340f24797e89c78007ee95ab753eb5ee8198c739544f9e1159895f7abe816d6b3c66620f8d7b64641d2a7f44ff0a5b4f2f941928f4733157c7995e
44
45 diff --git a/sci-libs/tensorflow/tensorflow-2.0.0.ebuild b/sci-libs/tensorflow/tensorflow-2.0.0.ebuild
46 new file mode 100644
47 index 00000000000..e2067d413e5
48 --- /dev/null
49 +++ b/sci-libs/tensorflow/tensorflow-2.0.0.ebuild
50 @@ -0,0 +1,351 @@
51 +# Copyright 1999-2019 Gentoo Authors
52 +# Distributed under the terms of the GNU General Public License v2
53 +
54 +EAPI=7
55 +
56 +DISTUTILS_OPTIONAL=1
57 +PYTHON_COMPAT=( python2_7 python{3_5,3_6,3_7} )
58 +MY_PV=${PV/_rc/-rc}
59 +MY_P=${PN}-${MY_PV}
60 +
61 +inherit bazel check-reqs cuda distutils-r1 flag-o-matic toolchain-funcs
62 +
63 +DESCRIPTION="Computation framework using data flow graphs for scalable machine learning"
64 +HOMEPAGE="https://www.tensorflow.org/"
65 +
66 +LICENSE="Apache-2.0"
67 +SLOT="0"
68 +KEYWORDS="~amd64"
69 +IUSE="cuda mpi +python xla"
70 +CPU_USE_FLAGS_X86="sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma3 fma4"
71 +for i in $CPU_USE_FLAGS_X86; do
72 + IUSE+=" cpu_flags_x86_$i"
73 +done
74 +
75 +# distfiles that bazel uses for the workspace, will be copied to basel-distdir
76 +bazel_external_uris="
77 + https://storage.googleapis.com/mirror.tensorflow.org/www.kurims.kyoto-u.ac.jp/~ooura/fft2d.tgz -> oourafft2d-20061228.tgz
78 + https://bitbucket.org/eigen/eigen/get/049af2f56331.tar.gz -> eigen-049af2f56331.tar.gz
79 + https://github.com/abseil/abseil-cpp/archive/43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz -> abseil-cpp-43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz
80 + https://github.com/bazelbuild/bazel-skylib/releases/download/0.8.0/bazel-skylib.0.8.0.tar.gz
81 + https://github.com/bazelbuild/bazel-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz -> bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz
82 + https://github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz -> bazelbuild-rules_closure-308b05b2419edb5c8ee0471b67a40403df940149.tar.gz
83 + 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
84 + 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
85 + https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz -> farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
86 + https://github.com/google/gemmlowp/archive/12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip -> gemmlowp-12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip
87 + https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
88 + https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
89 + https://github.com/nlopezgi/bazel-toolchains/archive/94d31935a2c94fe7e7c7379a0f3393e181928ff7.tar.gz -> bazel-toolchains-94d31935a2c94fe7e7c7379a0f3393e181928ff7.tar.gz
90 + https://github.com/pybind/pybind11/archive/v2.3.0.tar.gz -> pybind11-v2.3.0.tar.gz
91 + https://github.com/llvm-mirror/llvm/archive/b7d166cebcf619a3691eed3f994384aab3d80fa6.tar.gz -> llvm-b7d166cebcf619a3691eed3f994384aab3d80fa6.tar.gz
92 + cuda? (
93 + https://github.com/nvidia/nccl/archive/0ceaec9cee96ae7658aa45686853286651f36384.tar.gz -> nvidia-nccl-0ceaec9cee96ae7658aa45686853286651f36384.tar.gz
94 + https://github.com/NVlabs/cub/archive/1.8.0.zip -> cub-1.8.0.zip
95 + )
96 + python? (
97 + https://github.com/intel/ARM_NEON_2_x86_SSE/archive/1200fe90bb174a6224a525ee60148671a786a71f.tar.gz -> ARM_NEON_2_x86_SSE-1200fe90bb174a6224a525ee60148671a786a71f.tar.gz
98 + https://storage.googleapis.com/mirror.tensorflow.org/docs.python.org/2.7/_sources/license.rst.txt -> tensorflow-1.15.0-python-license.rst.txt
99 + https://pypi.python.org/packages/bc/cc/3cdb0a02e7e96f6c70bd971bc8a90b8463fda83e264fa9c5c1c98ceabd81/backports.weakref-1.0rc1.tar.gz
100 + )"
101 +
102 +SRC_URI="https://github.com/${PN}/${PN}/archive/v${MY_PV}.tar.gz -> ${P}.tar.gz
103 + ${bazel_external_uris}"
104 +
105 +RDEPEND="
106 + app-arch/snappy
107 + dev-db/lmdb
108 + dev-db/sqlite
109 + dev-libs/icu
110 + >=dev-libs/jsoncpp-1.9
111 + dev-libs/libpcre
112 + dev-libs/nsync
113 + dev-libs/openssl:0=
114 + >=dev-libs/protobuf-3.6.1:=
115 + >=dev-libs/re2-0.2018.04.01
116 + media-libs/giflib
117 + media-libs/libjpeg-turbo
118 + media-libs/libpng:0
119 + >=net-libs/grpc-1.22.0
120 + net-misc/curl
121 + sys-libs/zlib
122 + >=sys-apps/hwloc-2
123 + cuda? (
124 + >=dev-util/nvidia-cuda-toolkit-9.1[profiler]
125 + dev-libs/cudnn
126 + )
127 + mpi? ( virtual/mpi )
128 + python? (
129 + ${PYTHON_DEPS}
130 + >=dev-libs/flatbuffers-1.8.0
131 + dev-python/absl-py[${PYTHON_USEDEP}]
132 + >=dev-python/astor-0.7.1[${PYTHON_USEDEP}]
133 + dev-python/gast[${PYTHON_USEDEP}]
134 + >=dev-python/numpy-1.16[${PYTHON_USEDEP}]
135 + dev-python/google-pasta[${PYTHON_USEDEP}]
136 + dev-python/opt-einsum[${PYTHON_USEDEP}]
137 + >=dev-python/protobuf-python-3.6.1[${PYTHON_USEDEP}]
138 + dev-python/six[${PYTHON_USEDEP}]
139 + dev-python/termcolor[${PYTHON_USEDEP}]
140 + >=dev-python/grpcio-1.22.0[${PYTHON_USEDEP}]
141 + >=dev-python/wrapt-1.11.1[${PYTHON_USEDEP}]
142 + >=net-libs/google-cloud-cpp-0.10.0
143 + >=sci-libs/keras-applications-1.0.8[${PYTHON_USEDEP}]
144 + >=sci-libs/keras-preprocessing-1.0.5[${PYTHON_USEDEP}]
145 + >=sci-visualization/tensorboard-2.0.0[${PYTHON_USEDEP}]
146 + $(python_gen_cond_dep 'dev-python/enum34[${PYTHON_USEDEP}]' 'python2*')
147 + $(python_gen_cond_dep 'dev-python/functools32[${PYTHON_USEDEP}]' 'python2*')
148 + )"
149 +DEPEND="${RDEPEND}
150 + dev-python/mock"
151 +PDEPEND="python? (
152 + >=sci-libs/tensorflow-estimator-2.0.0[${PYTHON_USEDEP}]
153 + )"
154 +BDEPEND="
155 + app-arch/unzip
156 + >=dev-libs/protobuf-3.6.0
157 + dev-java/java-config
158 + dev-python/mock
159 + dev-lang/swig
160 + dev-python/cython
161 + || (
162 + =dev-util/bazel-0.24*
163 + =dev-util/bazel-0.26*
164 + =dev-util/bazel-0.27*
165 + )
166 + cuda? (
167 + >=dev-util/nvidia-cuda-toolkit-9.1[profiler]
168 + )
169 + !python? ( dev-lang/python )
170 + python? (
171 + >=dev-python/grpcio-tools-1.22.0
172 + )"
173 +REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
174 +
175 +S="${WORKDIR}/${MY_P}"
176 +
177 +PATCHES=(
178 + "${FILESDIR}/tensorflow-1.15.0_rc0-0001-WORKSPACE-add-rules-docker-http_archive-bazel-toolch.patch"
179 +)
180 +DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
181 +CHECKREQS_MEMORY="5G"
182 +CHECKREQS_DISK_BUILD="5G"
183 +
184 +get-cpu-flags() {
185 + local i f=()
186 + # Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
187 + for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
188 + use cpu_flags_x86_${i} && f+=( -m${i/_/.} )
189 + done
190 + use cpu_flags_x86_fma3 && f+=( -mfma )
191 + echo "${f[*]}"
192 +}
193 +
194 +pkg_setup() {
195 + ewarn "TensorFlow 2.0 is a major release that contains some incompatibilities"
196 + ewarn "with TensorFlow 1.x. For more information about migrating to TF2.0 see:"
197 + ewarn "https://www.tensorflow.org/guide/migrate"
198 +
199 + local num_pythons_enabled
200 + num_pythons_enabled=0
201 + count_impls(){
202 + num_pythons_enabled=$((${num_pythons_enabled} + 1))
203 + }
204 + use python && python_foreach_impl count_impls
205 +
206 + # 5G to build C/C++ libs, 5G per python impl
207 + CHECKREQS_DISK_BUILD="$((5 + 5 * ${num_pythons_enabled}))G"
208 + check-reqs_pkg_setup
209 +}
210 +
211 +src_unpack() {
212 + # Only unpack the main distfile
213 + unpack "${P}.tar.gz"
214 + bazel_load_distfiles "${bazel_external_uris}"
215 +}
216 +
217 +src_prepare() {
218 + export JAVA_HOME=$(java-config --jre-home) # so keepwork works
219 +
220 + append-flags $(get-cpu-flags)
221 + bazel_setup_bazelrc
222 +
223 + default
224 + use python && python_copy_sources
225 +
226 + use cuda && cuda_add_sandbox
227 +}
228 +
229 +src_configure() {
230 + export JAVA_HOME=$(java-config --jre-home) # so keepwork works
231 +
232 + do_configure() {
233 + export CC_OPT_FLAGS=" "
234 + export TF_ENABLE_XLA=$(usex xla 1 0)
235 + export TF_NEED_OPENCL_SYCL=0
236 + export TF_NEED_OPENCL=0
237 + export TF_NEED_COMPUTECPP=0
238 + export TF_NEED_ROCM=0
239 + export TF_NEED_MPI=$(usex mpi 1 0)
240 + export TF_SET_ANDROID_WORKSPACE=0
241 +
242 + if use python; then
243 + python_export PYTHON_SITEDIR
244 + export PYTHON_BIN_PATH="${PYTHON}"
245 + export PYTHON_LIB_PATH="${PYTHON_SITEDIR}"
246 + else
247 + export PYTHON_BIN_PATH="$(which python)"
248 + export PYTHON_LIB_PATH="$(python -c 'from distutils.sysconfig import *; print(get_python_lib())')"
249 + fi
250 +
251 + export TF_NEED_CUDA=$(usex cuda 1 0)
252 + export TF_DOWNLOAD_CLANG=0
253 + export TF_CUDA_CLANG=0
254 + export TF_NEED_TENSORRT=0
255 + if use cuda; then
256 + export TF_CUDA_PATHS="${EPREFIX%/}/opt/cuda"
257 + export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)"
258 + export TF_CUDA_VERSION="$(cuda_toolkit_version)"
259 + export TF_CUDNN_VERSION="$(cuda_cudnn_version)"
260 + einfo "Setting CUDA version: $TF_CUDA_VERSION"
261 + einfo "Setting CUDNN version: $TF_CUDNN_VERSION"
262 + fi
263 +
264 + local SYSLIBS=(
265 + absl_py
266 + astor_archive
267 + boringssl
268 + com_github_googleapis_googleapis
269 + com_github_googlecloudplatform_google_cloud_cpp
270 + com_google_protobuf
271 + com_googlesource_code_re2
272 + curl
273 + cython
274 + double_conversion
275 + enum34_archive
276 + flatbuffers
277 + functools32_archive
278 + gast_archive
279 + gif_archive
280 + grpc
281 + hwloc
282 + icu
283 + jpeg
284 + jsoncpp_git
285 + keras_applications_archive
286 + lmdb
287 + nasm
288 + nsync
289 + opt_einsum_archive
290 + org_sqlite
291 + pasta
292 + pcre
293 + png_archive
294 + six_archive
295 + snappy
296 + swig
297 + termcolor_archive
298 + wrapt
299 + zlib_archive
300 + )
301 +
302 + export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
303 + export TF_IGNORE_MAX_BAZEL_VERSION=1
304 +
305 + # This is not autoconf
306 + ./configure || die
307 +
308 + echo 'build --config=noaws --config=nohdfs --config=noignite --config=nokafka' >> .bazelrc || die
309 + echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
310 + echo 'build --incompatible_no_support_tools_in_action_inputs=false' >> .bazelrc || die
311 + }
312 + if use python; then
313 + python_foreach_impl run_in_build_dir do_configure
314 + else
315 + do_configure
316 + fi
317 +}
318 +
319 +src_compile() {
320 + export JAVA_HOME=$(java-config --jre-home) # so keepwork works
321 +
322 + if use python; then
323 + python_setup
324 + BUILD_DIR="${S}-${EPYTHON/./_}"
325 + cd "${BUILD_DIR}"
326 + fi
327 +
328 + # fail early if any deps are missing
329 + ebazel build --nobuild \
330 + //tensorflow:libtensorflow_framework.so \
331 + //tensorflow:libtensorflow.so \
332 + //tensorflow:libtensorflow_cc.so \
333 + $(usex python '//tensorflow/tools/pip_package:build_pip_package' '')
334 +
335 + ebazel build \
336 + //tensorflow:libtensorflow_framework.so \
337 + //tensorflow:libtensorflow.so
338 + ebazel build //tensorflow:libtensorflow_cc.so
339 +
340 + do_compile() {
341 + ebazel build //tensorflow/tools/pip_package:build_pip_package
342 + }
343 + BUILD_DIR="${S}"
344 + cd "${BUILD_DIR}"
345 + use python && python_foreach_impl run_in_build_dir do_compile
346 + ebazel shutdown
347 +}
348 +
349 +src_install() {
350 + local i j
351 + export JAVA_HOME=$(java-config --jre-home) # so keepwork works
352 +
353 + do_install() {
354 + einfo "Installing ${EPYTHON} files"
355 + local srcdir="${T}/src-${MULTIBUILD_VARIANT}"
356 + mkdir -p "${srcdir}" || die
357 + bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "${srcdir}" || die
358 + cd "${srcdir}" || die
359 + esetup.py install
360 +
361 + # libtensorflow_framework.so is in /usr/lib already
362 + python_export PYTHON_SITEDIR PYTHON_SCRIPTDIR
363 + rm -f "${D}/${PYTHON_SITEDIR}"/${PN}/lib${PN}_framework.so* || die
364 + rm -f "${D}/${PYTHON_SITEDIR}"/${PN}_core/lib${PN}_framework.so* || die
365 + python_optimize
366 + }
367 +
368 + if use python; then
369 + python_foreach_impl run_in_build_dir do_install
370 +
371 + # Symlink to python-exec scripts
372 + for i in "${ED}"/usr/lib/python-exec/*/*; do
373 + n="${i##*/}"
374 + [[ -e "${ED}/usr/bin/${n}" ]] || dosym ../lib/python-exec/python-exec2 "/usr/bin/${n}"
375 + done
376 +
377 + python_setup
378 + local BUILD_DIR="${S}-${EPYTHON/./_}"
379 + cd "${BUILD_DIR}" || die
380 + fi
381 +
382 + einfo "Installing headers"
383 + ebazel build //tensorflow:install_headers
384 + ebazel shutdown
385 + insinto /usr/include/${PN}/
386 + doins -r bazel-genfiles/tensorflow/include/*
387 +
388 + einfo "Installing libs"
389 + # Generate pkg-config file
390 + ${PN}/c/generate-pc.sh --prefix="${EPREFIX}"/usr --libdir=$(get_libdir) --version=${MY_PV} || die
391 + insinto /usr/$(get_libdir)/pkgconfig
392 + doins ${PN}.pc ${PN}_cc.pc
393 +
394 + for l in libtensorflow{,_framework,_cc}.so; do
395 + dolib.so bazel-bin/tensorflow/${l}
396 + dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1)
397 + dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1-3)
398 + done
399 +
400 + einstalldocs
401 +}