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: Fri, 25 Dec 2020 23:42:56
Message-Id: 1608939748.af3588a22a2795ecb1e380d000c0134955125062.perfinion@gentoo
1 commit: af3588a22a2795ecb1e380d000c0134955125062
2 Author: Jason Zaman <perfinion <AT> gentoo <DOT> org>
3 AuthorDate: Fri Dec 25 23:07:15 2020 +0000
4 Commit: Jason Zaman <perfinion <AT> gentoo <DOT> org>
5 CommitDate: Fri Dec 25 23:42:28 2020 +0000
6 URL: https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=af3588a2
7
8 sci-libs/tensorflow: drop 2.4-rc
9
10 Package-Manager: Portage-3.0.9, Repoman-3.0.2
11 Signed-off-by: Jason Zaman <perfinion <AT> gentoo.org>
12
13 sci-libs/tensorflow/Manifest | 4 -
14 sci-libs/tensorflow/tensorflow-2.4.0_rc3.ebuild | 406 ------------------------
15 sci-libs/tensorflow/tensorflow-2.4.0_rc4.ebuild | 406 ------------------------
16 3 files changed, 816 deletions(-)
17
18 diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest
19 index 3c898c6a7b9..86f28c0bbcf 100644
20 --- a/sci-libs/tensorflow/Manifest
21 +++ b/sci-libs/tensorflow/Manifest
22 @@ -36,9 +36,5 @@ DIST sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz 2569603 BLAKE2B
23 DIST tensorflow-1.15.0-python-license.rst.txt 45132 BLAKE2B 8a8ace4b64fd9eda1932272704dd4fea002d2562cd9c2c94470d3ff5de58bb171ff849d3f998ea90cd779d1084d39af1267aca8400b74b701205d2e76e6a2628 SHA512 c79c42f4ceecf33c8f8778ca17b53595b75d5d0bdf30b11058cf01dd70a6351f530ca9dd846460aba14edc1d5876f7bf6fa0f9f49f7915590b0f54d267ce3856
24 DIST tensorflow-2.3.1.tar.gz 46544608 BLAKE2B c3cb0954fcd060b95d63895cbeeca20f6af29ade999dc43db5fe010d6b33b6f650047d529f174a1663c23440a56e057e2f97c503a4a40bcdac9374b549f3220e SHA512 e497ef4564f50abf9f918be4522cf702f4cf945cb1ebf83af1386ac4ddc7373b3ba70c7f803f8ca06faf2c6b5396e60b1e0e9b97bfbd667e733b08b6e6d70ef0
25 DIST tensorflow-2.4.0.tar.gz 53257138 BLAKE2B 21973f67a7a4cb91baccbd3a4d9c8bce4c7f488ed44e834122b0fa0fc47b22d48276ecd9b580fa839c32a3dacac73bc010f91a27e5568df4dd9986b14b7eeb4f SHA512 4860c148fd931c4dc7c558128e545e2b6384e590a3fbc266a5bfe842a8307f23f1f7e0103bda3a383e7c77edad2bb76dec02da8be400a40956072df19c5d4dbd
26 -DIST tensorflow-2.4.0_rc3.tar.gz 53251141 BLAKE2B 45a05fc1bc6f5f940487ecfd53a5dd37718a39a2a3dfd536cb6e41ba1da9fbac9e166aeb288ad122adc6474af94c13a2370779c37aa7162de3cb0c015acd5c44 SHA512 c02901fb41aa996a4d3c4a118cd76c62502e99be64f6ecf98208b2c65ed9f8c87c4060dcc983f6fe8280207b3bfa967e5f325e2d926aa1b4429f99fc0153c2e1
27 -DIST tensorflow-2.4.0_rc4.tar.gz 53246897 BLAKE2B 4020cfa0ac72e4c06ee0ce69f44b3560132d2e885fd828bfcba9a951bc968d779c8de1507e888e36a3094510a973efc9e97304448b60f7b9847fab052de8e234 SHA512 fe69642a5cd0a6f7e8ae7abb93dec06225958d02f037936421a2b0c75bfc7d99efd5e1c6e0e3c2d0a6d3404516f4d178349d1fa88d81a14adb65d027339cb237
28 DIST tensorflow-patches-2.3.1-r1.tar.bz2 12300 BLAKE2B 068c127d7e980baf63068c524c9411e4f19bb79ee369221cf474a964a15ad340b28bde09504a8d524167eea036caf9d2dc52d0ad7ae1e52a76d1892833b033a0 SHA512 510676e4f999c12331a61bfeeca45b2526292d8bca8b0b42c1d8d466bc52722075fbd4df26a5f67dbe1ca4ccd9059e783c113cf694b436ff48c8114c99234cd3
29 DIST tensorflow-patches-2.4.0.tar.bz2 1842 BLAKE2B ac35a02e3494b0cb6cfcc9212557d5b5480aea41b09d74b918471e688b489bafd2dbc609320abde609a461db1c8d0043fce4053ad9a223bc93fb883176417199 SHA512 39b3ebe710eb3bb5c4575dbbad66ae1bd2a81b803fb9007709154320eaf31cbac213ea5dc6c2e674e685db1cea5ff524f723f3893dfe5f31af32be7756882b28
30 -DIST tensorflow-patches-2.4.0_rc3.tar.bz2 1843 BLAKE2B 6d4188471502e4411a5a7a6e731142af38421961600c52e7d76d137f952a5b8327dc8d8b4a40b60d3fb46130fe3d40ae2adc3d60d9a882f9d9b07d424e45e194 SHA512 abf9fbd870a8fa59b9d4e1b8260c4fbb5badeeca3e2b77caa031036759302bccae4adf91b291bc7a12df3c679b887338a8cd98d41847eb8ddd0c2bf4b8ccf342
31 -DIST tensorflow-patches-2.4.0_rc4.tar.bz2 1843 BLAKE2B 69d2bec532fbd65fcd44589ab554f3f9069112203a201c8ca2d19fedf1f4fa4211197b35a59cc487496e226f55a8e21e3865e04aee3df87fc13727558e5a3b74 SHA512 835055001c291bc7a32a0ec41e33ec9a8d17fada25af47d9d075c2991699ac52006f225b59ee9d828f71066e7fba3f5f1549388034b25ca0bedbebe0a3946355
32
33 diff --git a/sci-libs/tensorflow/tensorflow-2.4.0_rc3.ebuild b/sci-libs/tensorflow/tensorflow-2.4.0_rc3.ebuild
34 deleted file mode 100644
35 index 3ffae5ad6f7..00000000000
36 --- a/sci-libs/tensorflow/tensorflow-2.4.0_rc3.ebuild
37 +++ /dev/null
38 @@ -1,406 +0,0 @@
39 -# Copyright 1999-2020 Gentoo Authors
40 -# Distributed under the terms of the GNU General Public License v2
41 -
42 -EAPI=7
43 -
44 -DISTUTILS_OPTIONAL=1
45 -PYTHON_COMPAT=( python3_{6,7,8} )
46 -DISTUTILS_USE_SETUPTOOLS=rdepend
47 -MY_PV=${PV/_rc/-rc}
48 -MY_P=${PN}-${MY_PV}
49 -
50 -inherit bazel check-reqs cuda distutils-r1 flag-o-matic prefix toolchain-funcs
51 -
52 -DESCRIPTION="Computation framework using data flow graphs for scalable machine learning"
53 -HOMEPAGE="https://www.tensorflow.org/"
54 -
55 -LICENSE="Apache-2.0"
56 -SLOT="0"
57 -KEYWORDS="~amd64"
58 -IUSE="cuda mpi +python xla"
59 -CPU_USE_FLAGS_X86="sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma3 fma4"
60 -for i in $CPU_USE_FLAGS_X86; do
61 - IUSE+=" cpu_flags_x86_$i"
62 -done
63 -
64 -# distfiles that bazel uses for the workspace, will be copied to basel-distdir
65 -bazel_external_uris="
66 - https://github.com/petewarden/OouraFFT/archive/v1.0.tar.gz -> OouraFFT-v1.0.tar.gz
67 - https://gitlab.com/libeigen/eigen/-/archive/011e0db31d1bed8b7f73662be6d57d9f30fa457a/eigen-011e0db31d1bed8b7f73662be6d57d9f30fa457a.tar.gz
68 - https://github.com/abseil/abseil-cpp/archive/df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz -> abseil-cpp-df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz
69 - https://github.com/bazelbuild/bazel-skylib/releases/download/0.9.0/bazel_skylib-0.9.0.tar.gz
70 - https://github.com/bazelbuild/rules_android/archive/v0.1.1.zip -> bazelbuild-rules_android-v0.1.1.zip
71 - https://github.com/bazelbuild/bazel-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz -> bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz
72 - https://github.com/bazelbuild/rules_cc/archive/01d4a48911d5e7591ecb1c06d3b8af47fe872371.zip -> bazelbuild-rules_cc-01d4a48911d5e7591ecb1c06d3b8af47fe872371.zip
73 - https://github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz -> bazelbuild-rules_closure-308b05b2419edb5c8ee0471b67a40403df940149.tar.gz
74 - 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
75 - https://github.com/bazelbuild/rules_java/archive/7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip -> bazelbuild-rules_java-7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip
76 - https://github.com/bazelbuild/rules_proto/archive/97d8af4dc474595af3900dd85cb3a29ad28cc313.tar.gz -> bazelbuild-rules_proto-97d8af4dc474595af3900dd85cb3a29ad28cc313.tar.gz
77 - 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
78 - https://github.com/bazelbuild/rules_swift/archive/3eeeb53cebda55b349d64c9fc144e18c5f7c0eb8.tar.gz -> bazelbuild-rules_swift-3eeeb53cebda55b349d64c9fc144e18c5f7c0eb8.tar.gz
79 - https://github.com/dmlc/dlpack/archive/3efc489b55385936531a06ff83425b719387ec63.tar.gz -> dlpack-3efc489b55385936531a06ff83425b719387ec63.tar.gz
80 - https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz -> farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
81 - https://github.com/google/gemmlowp/archive/fda83bdc38b118cc6b56753bd540caa49e570745.zip -> gemmlowp-fda83bdc38b118cc6b56753bd540caa49e570745.zip
82 - https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
83 - https://github.com/google/re2/archive/506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz -> re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz
84 - https://github.com/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz
85 - https://github.com/llvm/llvm-project/archive/f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz -> llvm-f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz
86 - https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
87 - https://github.com/google/ruy/archive/5bb02fbf90824c2eb6cd7418f766c593106a332b.zip -> ruy-5bb02fbf90824c2eb6cd7418f766c593106a332b.zip
88 - https://github.com/pytorch/cpuinfo/archive/d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz -> pytorch-cpuinfo-d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz
89 - https://github.com/pytorch/cpuinfo/archive/6cecd15784fcb6c5c0aa7311c6248879ce2cb8b2.zip -> pytorch-cpuinfo-6cecd15784fcb6c5c0aa7311c6248879ce2cb8b2.zip
90 - cuda? (
91 - https://github.com/nvidia/nccl/archive/195232556936b39b01cc908296e1650b80d4a3e9.tar.gz -> nvidia-nccl-195232556936b39b01cc908296e1650b80d4a3e9.tar.gz
92 - https://github.com/NVlabs/cub/archive/1.9.9.zip -> cub-1.9.9.zip
93 - )
94 - python? (
95 - https://github.com/intel/ARM_NEON_2_x86_SSE/archive/1200fe90bb174a6224a525ee60148671a786a71f.tar.gz -> ARM_NEON_2_x86_SSE-1200fe90bb174a6224a525ee60148671a786a71f.tar.gz
96 - https://storage.googleapis.com/mirror.tensorflow.org/docs.python.org/2.7/_sources/license.rst.txt -> tensorflow-1.15.0-python-license.rst.txt
97 - https://pypi.python.org/packages/bc/cc/3cdb0a02e7e96f6c70bd971bc8a90b8463fda83e264fa9c5c1c98ceabd81/backports.weakref-1.0rc1.tar.gz
98 - )"
99 -
100 -SRC_URI="https://github.com/${PN}/${PN}/archive/v${MY_PV}.tar.gz -> ${P}.tar.gz
101 - https://dev.gentoo.org/~perfinion/patches/tensorflow-patches-${PVR}.tar.bz2
102 - ${bazel_external_uris}"
103 -
104 -RDEPEND="
105 - app-arch/snappy
106 - dev-db/lmdb
107 - dev-db/sqlite
108 - dev-libs/double-conversion
109 - dev-libs/icu:=
110 - >=dev-libs/jsoncpp-1.9.2
111 - dev-libs/libpcre
112 - dev-libs/nsync
113 - dev-libs/openssl:0=
114 - >=dev-libs/protobuf-3.13.0:=
115 - >=dev-libs/re2-0.2019.06.01:=
116 - media-libs/giflib
117 - media-libs/libjpeg-turbo
118 - media-libs/libpng:0
119 - >=net-libs/grpc-1.28:=
120 - net-misc/curl
121 - sys-libs/zlib
122 - >=sys-apps/hwloc-2
123 - cuda? (
124 - || (
125 - ( =dev-util/nvidia-cuda-toolkit-11.1*[profiler] =dev-libs/cudnn-8* )
126 - ( =dev-util/nvidia-cuda-toolkit-11.0*[profiler] =dev-libs/cudnn-8* )
127 - ( =dev-util/nvidia-cuda-toolkit-10.2*[profiler] >=dev-libs/cudnn-7.6 )
128 - ( =dev-util/nvidia-cuda-toolkit-10.1*[profiler] >=dev-libs/cudnn-7.5 )
129 - ( =dev-util/nvidia-cuda-toolkit-10.0*[profiler] =dev-libs/cudnn-7.4* )
130 - ( =dev-util/nvidia-cuda-toolkit-9.2*[profiler] =dev-libs/cudnn-7.1* )
131 - ( =dev-util/nvidia-cuda-toolkit-9.1*[profiler] =dev-libs/cudnn-7.0* )
132 - )
133 - )
134 - mpi? ( virtual/mpi )
135 - python? (
136 - ${PYTHON_DEPS}
137 - >=dev-libs/flatbuffers-1.12.0:=
138 - dev-python/absl-py[${PYTHON_USEDEP}]
139 - >=dev-python/astor-0.7.1[${PYTHON_USEDEP}]
140 - dev-python/astunparse[${PYTHON_USEDEP}]
141 - dev-python/dill[${PYTHON_USEDEP}]
142 - dev-python/flatbuffers[${PYTHON_USEDEP}]
143 - >=dev-python/gast-0.3.3[${PYTHON_USEDEP}]
144 - dev-python/h5py[${PYTHON_USEDEP}]
145 - >=dev-python/numpy-1.19[${PYTHON_USEDEP}]
146 - >=dev-python/google-pasta-0.1.8[${PYTHON_USEDEP}]
147 - >=dev-python/opt-einsum-3.3.0[${PYTHON_USEDEP}]
148 - >=dev-python/protobuf-python-3.13.0[${PYTHON_USEDEP}]
149 - dev-python/pybind11[${PYTHON_USEDEP}]
150 - dev-python/six[${PYTHON_USEDEP}]
151 - dev-python/tblib[${PYTHON_USEDEP}]
152 - dev-python/termcolor[${PYTHON_USEDEP}]
153 - dev-python/typing-extensions[${PYTHON_USEDEP}]
154 - >=dev-python/grpcio-1.28[${PYTHON_USEDEP}]
155 - >=dev-python/wrapt-1.11.1[${PYTHON_USEDEP}]
156 - >=net-libs/google-cloud-cpp-0.10.0
157 - >=sci-libs/keras-applications-1.0.8[${PYTHON_USEDEP}]
158 - >=sci-libs/keras-preprocessing-1.1.2[${PYTHON_USEDEP}]
159 - >=sci-visualization/tensorboard-2.4.0[${PYTHON_USEDEP}]
160 - )"
161 -DEPEND="${RDEPEND}
162 - python? (
163 - dev-python/mock
164 - dev-python/setuptools
165 - )"
166 -PDEPEND="python? (
167 - >=sci-libs/tensorflow-estimator-2.4.0_rc0[${PYTHON_USEDEP}]
168 - )"
169 -BDEPEND="
170 - app-arch/unzip
171 - >=dev-libs/protobuf-3.8.0
172 - dev-java/java-config
173 - =dev-util/bazel-3*
174 - cuda? (
175 - >=dev-util/nvidia-cuda-toolkit-9.1[profiler]
176 - )
177 - !python? ( dev-lang/python )
178 - python? (
179 - dev-python/cython
180 - dev-python/mock
181 - >=dev-python/grpcio-tools-1.28
182 - )"
183 -REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
184 -
185 -S="${WORKDIR}/${MY_P}"
186 -
187 -DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
188 -CHECKREQS_MEMORY="5G"
189 -CHECKREQS_DISK_BUILD="10G"
190 -
191 -get-cpu-flags() {
192 - local i f=()
193 - # Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
194 - for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
195 - use cpu_flags_x86_${i} && f+=( -m${i/_/.} )
196 - done
197 - use cpu_flags_x86_fma3 && f+=( -mfma )
198 - echo "${f[*]}"
199 -}
200 -
201 -pkg_setup() {
202 - ewarn "TensorFlow 2.0 is a major release that contains some incompatibilities"
203 - ewarn "with TensorFlow 1.x. For more information about migrating to TF2.0 see:"
204 - ewarn "https://www.tensorflow.org/guide/migrate"
205 -
206 - local num_pythons_enabled
207 - num_pythons_enabled=0
208 - count_impls(){
209 - num_pythons_enabled=$((${num_pythons_enabled} + 1))
210 - }
211 - use python && python_foreach_impl count_impls
212 -
213 - # 10G to build C/C++ libs, 5G per python impl
214 - CHECKREQS_DISK_BUILD="$((10 + 6 * ${num_pythons_enabled}))G"
215 - check-reqs_pkg_setup
216 -}
217 -
218 -src_unpack() {
219 - # Only unpack the main distfile
220 - unpack "${P}.tar.gz"
221 - unpack tensorflow-patches-${PVR}.tar.bz2
222 - bazel_load_distfiles "${bazel_external_uris}"
223 -}
224 -
225 -src_prepare() {
226 - export JAVA_HOME=$(java-config --jre-home) # so keepwork works
227 -
228 - append-flags $(get-cpu-flags)
229 - bazel_setup_bazelrc
230 -
231 - eapply "${WORKDIR}"/patches/*.patch
232 -
233 - # Relax version checks in setup.py
234 - sed -i "/^ '/s/==/>=/g" tensorflow/tools/pip_package/setup.py || die
235 - sed -i "/config_googleapis/d" WORKSPACE || die
236 -
237 - # Prefixify hard-coded command locations
238 - hprefixify -w /host_compiler_prefix/ third_party/gpus/cuda_configure.bzl
239 -
240 - default
241 - use python && python_copy_sources
242 -
243 - use cuda && cuda_add_sandbox
244 -}
245 -
246 -src_configure() {
247 - export JAVA_HOME=$(java-config --jre-home) # so keepwork works
248 -
249 - do_configure() {
250 - export CC_OPT_FLAGS=" "
251 - export TF_ENABLE_XLA=$(usex xla 1 0)
252 - export TF_NEED_OPENCL_SYCL=0
253 - export TF_NEED_OPENCL=0
254 - export TF_NEED_COMPUTECPP=0
255 - export TF_NEED_ROCM=0
256 - export TF_NEED_MPI=$(usex mpi 1 0)
257 - export TF_SET_ANDROID_WORKSPACE=0
258 -
259 - if use python; then
260 - export PYTHON_BIN_PATH="${PYTHON}"
261 - export PYTHON_LIB_PATH="$(python_get_sitedir)"
262 - else
263 - export PYTHON_BIN_PATH="$(which python)"
264 - export PYTHON_LIB_PATH="$(python -c 'from distutils.sysconfig import *; print(get_python_lib())')"
265 - fi
266 -
267 - export TF_NEED_CUDA=$(usex cuda 1 0)
268 - export TF_DOWNLOAD_CLANG=0
269 - export TF_CUDA_CLANG=0
270 - export TF_NEED_TENSORRT=0
271 - if use cuda; then
272 - export TF_CUDA_PATHS="${EPREFIX}/opt/cuda"
273 - export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)"
274 - export TF_CUDA_VERSION="$(cuda_toolkit_version)"
275 - export TF_CUDNN_VERSION="$(cuda_cudnn_version)"
276 - einfo "Setting CUDA version: $TF_CUDA_VERSION"
277 - einfo "Setting CUDNN version: $TF_CUDNN_VERSION"
278 -
279 - if [[ *$(gcc-version)* != $(cuda-config -s) ]]; then
280 - ewarn "TensorFlow is being built with Nvidia CUDA support. Your default compiler"
281 - ewarn "version is not supported by the currently installed CUDA. TensorFlow will"
282 - ewarn "instead be compiled using: ${GCC_HOST_COMPILER_PATH}."
283 - ewarn "If the build fails with linker errors try rebuilding the relevant"
284 - ewarn "dependencies using the same compiler version."
285 - fi
286 -
287 - if [[ -z "$TF_CUDA_COMPUTE_CAPABILITIES" ]]; then
288 - ewarn "WARNING: Tensorflow is being built with its default CUDA compute capabilities: 3.5 and 7.0."
289 - ewarn "These may not be optimal for your GPU."
290 - ewarn ""
291 - ewarn "To configure Tensorflow with the CUDA compute capability that is optimal for your GPU,"
292 - ewarn "set TF_CUDA_COMPUTE_CAPABILITIES in your make.conf, and re-emerge tensorflow."
293 - ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TF_CUDA_COMPUTE_CAPABILITIES=7.5,3.5"
294 - ewarn ""
295 - ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus"
296 - ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'"
297 - fi
298 - fi
299 -
300 - # com_googlesource_code_re2 weird branch using absl, doesnt work with released re2
301 - local SYSLIBS=(
302 - absl_py
303 - astor_archive
304 - astunparse_archive
305 - boringssl
306 - com_github_googleapis_googleapis
307 - com_github_googlecloudplatform_google_cloud_cpp
308 - com_github_grpc_grpc
309 - com_google_protobuf
310 - curl
311 - cython
312 - dill_archive
313 - double_conversion
314 - enum34_archive
315 - flatbuffers
316 - functools32_archive
317 - gast_archive
318 - gif
319 - hwloc
320 - icu
321 - jsoncpp_git
322 - libjpeg_turbo
323 - lmdb
324 - nasm
325 - nsync
326 - opt_einsum_archive
327 - org_sqlite
328 - pasta
329 - pcre
330 - png
331 - pybind11
332 - six_archive
333 - snappy
334 - tblib_archive
335 - termcolor_archive
336 - typing_extensions_archive
337 - wrapt
338 - zlib
339 - )
340 -
341 - export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
342 - export TF_IGNORE_MAX_BAZEL_VERSION=1
343 -
344 - # This is not autoconf
345 - ./configure || die
346 -
347 - echo 'build --config=noaws --config=nohdfs' >> .bazelrc || die
348 - echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
349 -
350 - for cflag in $(pkg-config jsoncpp --cflags)
351 - do
352 - echo "build --copt=\"$cflag\"" >> .bazelrc || die
353 - echo "build --host_copt=\"$cflag\"" >> .bazelrc || die
354 - done
355 - }
356 - if use python; then
357 - python_foreach_impl run_in_build_dir do_configure
358 - else
359 - do_configure
360 - fi
361 -}
362 -
363 -src_compile() {
364 - export JAVA_HOME=$(java-config --jre-home) # so keepwork works
365 -
366 - if use python; then
367 - python_setup
368 - BUILD_DIR="${S}-${EPYTHON/./_}"
369 - cd "${BUILD_DIR}"
370 - fi
371 -
372 - # fail early if any deps are missing
373 - ebazel build -k --nobuild \
374 - //tensorflow:libtensorflow_framework.so \
375 - //tensorflow:libtensorflow.so \
376 - //tensorflow:libtensorflow_cc.so \
377 - $(usex python '//tensorflow/tools/pip_package:build_pip_package' '')
378 -
379 - ebazel build \
380 - //tensorflow:libtensorflow_framework.so \
381 - //tensorflow:libtensorflow.so
382 - ebazel build //tensorflow:libtensorflow_cc.so
383 -
384 - do_compile() {
385 - ebazel build //tensorflow/tools/pip_package:build_pip_package
386 - }
387 - BUILD_DIR="${S}"
388 - cd "${BUILD_DIR}"
389 - use python && python_foreach_impl run_in_build_dir do_compile
390 - ebazel shutdown
391 -}
392 -
393 -src_install() {
394 - local i j
395 - export JAVA_HOME=$(java-config --jre-home) # so keepwork works
396 -
397 - do_install() {
398 - einfo "Installing ${EPYTHON} files"
399 - local srcdir="${T}/src-${MULTIBUILD_VARIANT}"
400 - mkdir -p "${srcdir}" || die
401 - bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "${srcdir}" || die
402 - cd "${srcdir}" || die
403 - esetup.py install
404 -
405 - # libtensorflow_framework.so is in /usr/lib already
406 - rm -f "${D}/$(python_get_sitedir)"/${PN}/lib${PN}_framework.so* || die
407 - rm -f "${D}/$(python_get_sitedir)"/${PN}_core/lib${PN}_framework.so* || die
408 - python_optimize
409 - }
410 -
411 - if use python; then
412 - python_foreach_impl run_in_build_dir do_install
413 -
414 - # Symlink to python-exec scripts
415 - for i in "${ED}"/usr/lib/python-exec/*/*; do
416 - n="${i##*/}"
417 - [[ -e "${ED}/usr/bin/${n}" ]] || dosym ../lib/python-exec/python-exec2 "/usr/bin/${n}"
418 - done
419 -
420 - python_setup
421 - local BUILD_DIR="${S}-${EPYTHON/./_}"
422 - cd "${BUILD_DIR}" || die
423 - fi
424 -
425 - einfo "Installing headers"
426 - ebazel build //tensorflow:install_headers
427 - ebazel shutdown
428 - insinto /usr/include/${PN}/
429 - doins -r bazel-bin/tensorflow/include/*
430 -
431 - einfo "Installing libs"
432 - # Generate pkg-config file
433 - ${PN}/c/generate-pc.sh --prefix="${EPREFIX}"/usr --libdir=$(get_libdir) --version=${MY_PV} || die
434 - insinto /usr/$(get_libdir)/pkgconfig
435 - doins ${PN}.pc ${PN}_cc.pc
436 -
437 - for l in libtensorflow{,_framework,_cc}.so; do
438 - dolib.so bazel-bin/tensorflow/${l}
439 - dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1)
440 - dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1-3)
441 - done
442 -
443 - einstalldocs
444 -}
445
446 diff --git a/sci-libs/tensorflow/tensorflow-2.4.0_rc4.ebuild b/sci-libs/tensorflow/tensorflow-2.4.0_rc4.ebuild
447 deleted file mode 100644
448 index 3ffae5ad6f7..00000000000
449 --- a/sci-libs/tensorflow/tensorflow-2.4.0_rc4.ebuild
450 +++ /dev/null
451 @@ -1,406 +0,0 @@
452 -# Copyright 1999-2020 Gentoo Authors
453 -# Distributed under the terms of the GNU General Public License v2
454 -
455 -EAPI=7
456 -
457 -DISTUTILS_OPTIONAL=1
458 -PYTHON_COMPAT=( python3_{6,7,8} )
459 -DISTUTILS_USE_SETUPTOOLS=rdepend
460 -MY_PV=${PV/_rc/-rc}
461 -MY_P=${PN}-${MY_PV}
462 -
463 -inherit bazel check-reqs cuda distutils-r1 flag-o-matic prefix toolchain-funcs
464 -
465 -DESCRIPTION="Computation framework using data flow graphs for scalable machine learning"
466 -HOMEPAGE="https://www.tensorflow.org/"
467 -
468 -LICENSE="Apache-2.0"
469 -SLOT="0"
470 -KEYWORDS="~amd64"
471 -IUSE="cuda mpi +python xla"
472 -CPU_USE_FLAGS_X86="sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma3 fma4"
473 -for i in $CPU_USE_FLAGS_X86; do
474 - IUSE+=" cpu_flags_x86_$i"
475 -done
476 -
477 -# distfiles that bazel uses for the workspace, will be copied to basel-distdir
478 -bazel_external_uris="
479 - https://github.com/petewarden/OouraFFT/archive/v1.0.tar.gz -> OouraFFT-v1.0.tar.gz
480 - https://gitlab.com/libeigen/eigen/-/archive/011e0db31d1bed8b7f73662be6d57d9f30fa457a/eigen-011e0db31d1bed8b7f73662be6d57d9f30fa457a.tar.gz
481 - https://github.com/abseil/abseil-cpp/archive/df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz -> abseil-cpp-df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz
482 - https://github.com/bazelbuild/bazel-skylib/releases/download/0.9.0/bazel_skylib-0.9.0.tar.gz
483 - https://github.com/bazelbuild/rules_android/archive/v0.1.1.zip -> bazelbuild-rules_android-v0.1.1.zip
484 - https://github.com/bazelbuild/bazel-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz -> bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz
485 - https://github.com/bazelbuild/rules_cc/archive/01d4a48911d5e7591ecb1c06d3b8af47fe872371.zip -> bazelbuild-rules_cc-01d4a48911d5e7591ecb1c06d3b8af47fe872371.zip
486 - https://github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz -> bazelbuild-rules_closure-308b05b2419edb5c8ee0471b67a40403df940149.tar.gz
487 - 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
488 - https://github.com/bazelbuild/rules_java/archive/7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip -> bazelbuild-rules_java-7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip
489 - https://github.com/bazelbuild/rules_proto/archive/97d8af4dc474595af3900dd85cb3a29ad28cc313.tar.gz -> bazelbuild-rules_proto-97d8af4dc474595af3900dd85cb3a29ad28cc313.tar.gz
490 - 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
491 - https://github.com/bazelbuild/rules_swift/archive/3eeeb53cebda55b349d64c9fc144e18c5f7c0eb8.tar.gz -> bazelbuild-rules_swift-3eeeb53cebda55b349d64c9fc144e18c5f7c0eb8.tar.gz
492 - https://github.com/dmlc/dlpack/archive/3efc489b55385936531a06ff83425b719387ec63.tar.gz -> dlpack-3efc489b55385936531a06ff83425b719387ec63.tar.gz
493 - https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz -> farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
494 - https://github.com/google/gemmlowp/archive/fda83bdc38b118cc6b56753bd540caa49e570745.zip -> gemmlowp-fda83bdc38b118cc6b56753bd540caa49e570745.zip
495 - https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
496 - https://github.com/google/re2/archive/506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz -> re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz
497 - https://github.com/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz
498 - https://github.com/llvm/llvm-project/archive/f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz -> llvm-f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz
499 - https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
500 - https://github.com/google/ruy/archive/5bb02fbf90824c2eb6cd7418f766c593106a332b.zip -> ruy-5bb02fbf90824c2eb6cd7418f766c593106a332b.zip
501 - https://github.com/pytorch/cpuinfo/archive/d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz -> pytorch-cpuinfo-d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz
502 - https://github.com/pytorch/cpuinfo/archive/6cecd15784fcb6c5c0aa7311c6248879ce2cb8b2.zip -> pytorch-cpuinfo-6cecd15784fcb6c5c0aa7311c6248879ce2cb8b2.zip
503 - cuda? (
504 - https://github.com/nvidia/nccl/archive/195232556936b39b01cc908296e1650b80d4a3e9.tar.gz -> nvidia-nccl-195232556936b39b01cc908296e1650b80d4a3e9.tar.gz
505 - https://github.com/NVlabs/cub/archive/1.9.9.zip -> cub-1.9.9.zip
506 - )
507 - python? (
508 - https://github.com/intel/ARM_NEON_2_x86_SSE/archive/1200fe90bb174a6224a525ee60148671a786a71f.tar.gz -> ARM_NEON_2_x86_SSE-1200fe90bb174a6224a525ee60148671a786a71f.tar.gz
509 - https://storage.googleapis.com/mirror.tensorflow.org/docs.python.org/2.7/_sources/license.rst.txt -> tensorflow-1.15.0-python-license.rst.txt
510 - https://pypi.python.org/packages/bc/cc/3cdb0a02e7e96f6c70bd971bc8a90b8463fda83e264fa9c5c1c98ceabd81/backports.weakref-1.0rc1.tar.gz
511 - )"
512 -
513 -SRC_URI="https://github.com/${PN}/${PN}/archive/v${MY_PV}.tar.gz -> ${P}.tar.gz
514 - https://dev.gentoo.org/~perfinion/patches/tensorflow-patches-${PVR}.tar.bz2
515 - ${bazel_external_uris}"
516 -
517 -RDEPEND="
518 - app-arch/snappy
519 - dev-db/lmdb
520 - dev-db/sqlite
521 - dev-libs/double-conversion
522 - dev-libs/icu:=
523 - >=dev-libs/jsoncpp-1.9.2
524 - dev-libs/libpcre
525 - dev-libs/nsync
526 - dev-libs/openssl:0=
527 - >=dev-libs/protobuf-3.13.0:=
528 - >=dev-libs/re2-0.2019.06.01:=
529 - media-libs/giflib
530 - media-libs/libjpeg-turbo
531 - media-libs/libpng:0
532 - >=net-libs/grpc-1.28:=
533 - net-misc/curl
534 - sys-libs/zlib
535 - >=sys-apps/hwloc-2
536 - cuda? (
537 - || (
538 - ( =dev-util/nvidia-cuda-toolkit-11.1*[profiler] =dev-libs/cudnn-8* )
539 - ( =dev-util/nvidia-cuda-toolkit-11.0*[profiler] =dev-libs/cudnn-8* )
540 - ( =dev-util/nvidia-cuda-toolkit-10.2*[profiler] >=dev-libs/cudnn-7.6 )
541 - ( =dev-util/nvidia-cuda-toolkit-10.1*[profiler] >=dev-libs/cudnn-7.5 )
542 - ( =dev-util/nvidia-cuda-toolkit-10.0*[profiler] =dev-libs/cudnn-7.4* )
543 - ( =dev-util/nvidia-cuda-toolkit-9.2*[profiler] =dev-libs/cudnn-7.1* )
544 - ( =dev-util/nvidia-cuda-toolkit-9.1*[profiler] =dev-libs/cudnn-7.0* )
545 - )
546 - )
547 - mpi? ( virtual/mpi )
548 - python? (
549 - ${PYTHON_DEPS}
550 - >=dev-libs/flatbuffers-1.12.0:=
551 - dev-python/absl-py[${PYTHON_USEDEP}]
552 - >=dev-python/astor-0.7.1[${PYTHON_USEDEP}]
553 - dev-python/astunparse[${PYTHON_USEDEP}]
554 - dev-python/dill[${PYTHON_USEDEP}]
555 - dev-python/flatbuffers[${PYTHON_USEDEP}]
556 - >=dev-python/gast-0.3.3[${PYTHON_USEDEP}]
557 - dev-python/h5py[${PYTHON_USEDEP}]
558 - >=dev-python/numpy-1.19[${PYTHON_USEDEP}]
559 - >=dev-python/google-pasta-0.1.8[${PYTHON_USEDEP}]
560 - >=dev-python/opt-einsum-3.3.0[${PYTHON_USEDEP}]
561 - >=dev-python/protobuf-python-3.13.0[${PYTHON_USEDEP}]
562 - dev-python/pybind11[${PYTHON_USEDEP}]
563 - dev-python/six[${PYTHON_USEDEP}]
564 - dev-python/tblib[${PYTHON_USEDEP}]
565 - dev-python/termcolor[${PYTHON_USEDEP}]
566 - dev-python/typing-extensions[${PYTHON_USEDEP}]
567 - >=dev-python/grpcio-1.28[${PYTHON_USEDEP}]
568 - >=dev-python/wrapt-1.11.1[${PYTHON_USEDEP}]
569 - >=net-libs/google-cloud-cpp-0.10.0
570 - >=sci-libs/keras-applications-1.0.8[${PYTHON_USEDEP}]
571 - >=sci-libs/keras-preprocessing-1.1.2[${PYTHON_USEDEP}]
572 - >=sci-visualization/tensorboard-2.4.0[${PYTHON_USEDEP}]
573 - )"
574 -DEPEND="${RDEPEND}
575 - python? (
576 - dev-python/mock
577 - dev-python/setuptools
578 - )"
579 -PDEPEND="python? (
580 - >=sci-libs/tensorflow-estimator-2.4.0_rc0[${PYTHON_USEDEP}]
581 - )"
582 -BDEPEND="
583 - app-arch/unzip
584 - >=dev-libs/protobuf-3.8.0
585 - dev-java/java-config
586 - =dev-util/bazel-3*
587 - cuda? (
588 - >=dev-util/nvidia-cuda-toolkit-9.1[profiler]
589 - )
590 - !python? ( dev-lang/python )
591 - python? (
592 - dev-python/cython
593 - dev-python/mock
594 - >=dev-python/grpcio-tools-1.28
595 - )"
596 -REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
597 -
598 -S="${WORKDIR}/${MY_P}"
599 -
600 -DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
601 -CHECKREQS_MEMORY="5G"
602 -CHECKREQS_DISK_BUILD="10G"
603 -
604 -get-cpu-flags() {
605 - local i f=()
606 - # Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
607 - for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
608 - use cpu_flags_x86_${i} && f+=( -m${i/_/.} )
609 - done
610 - use cpu_flags_x86_fma3 && f+=( -mfma )
611 - echo "${f[*]}"
612 -}
613 -
614 -pkg_setup() {
615 - ewarn "TensorFlow 2.0 is a major release that contains some incompatibilities"
616 - ewarn "with TensorFlow 1.x. For more information about migrating to TF2.0 see:"
617 - ewarn "https://www.tensorflow.org/guide/migrate"
618 -
619 - local num_pythons_enabled
620 - num_pythons_enabled=0
621 - count_impls(){
622 - num_pythons_enabled=$((${num_pythons_enabled} + 1))
623 - }
624 - use python && python_foreach_impl count_impls
625 -
626 - # 10G to build C/C++ libs, 5G per python impl
627 - CHECKREQS_DISK_BUILD="$((10 + 6 * ${num_pythons_enabled}))G"
628 - check-reqs_pkg_setup
629 -}
630 -
631 -src_unpack() {
632 - # Only unpack the main distfile
633 - unpack "${P}.tar.gz"
634 - unpack tensorflow-patches-${PVR}.tar.bz2
635 - bazel_load_distfiles "${bazel_external_uris}"
636 -}
637 -
638 -src_prepare() {
639 - export JAVA_HOME=$(java-config --jre-home) # so keepwork works
640 -
641 - append-flags $(get-cpu-flags)
642 - bazel_setup_bazelrc
643 -
644 - eapply "${WORKDIR}"/patches/*.patch
645 -
646 - # Relax version checks in setup.py
647 - sed -i "/^ '/s/==/>=/g" tensorflow/tools/pip_package/setup.py || die
648 - sed -i "/config_googleapis/d" WORKSPACE || die
649 -
650 - # Prefixify hard-coded command locations
651 - hprefixify -w /host_compiler_prefix/ third_party/gpus/cuda_configure.bzl
652 -
653 - default
654 - use python && python_copy_sources
655 -
656 - use cuda && cuda_add_sandbox
657 -}
658 -
659 -src_configure() {
660 - export JAVA_HOME=$(java-config --jre-home) # so keepwork works
661 -
662 - do_configure() {
663 - export CC_OPT_FLAGS=" "
664 - export TF_ENABLE_XLA=$(usex xla 1 0)
665 - export TF_NEED_OPENCL_SYCL=0
666 - export TF_NEED_OPENCL=0
667 - export TF_NEED_COMPUTECPP=0
668 - export TF_NEED_ROCM=0
669 - export TF_NEED_MPI=$(usex mpi 1 0)
670 - export TF_SET_ANDROID_WORKSPACE=0
671 -
672 - if use python; then
673 - export PYTHON_BIN_PATH="${PYTHON}"
674 - export PYTHON_LIB_PATH="$(python_get_sitedir)"
675 - else
676 - export PYTHON_BIN_PATH="$(which python)"
677 - export PYTHON_LIB_PATH="$(python -c 'from distutils.sysconfig import *; print(get_python_lib())')"
678 - fi
679 -
680 - export TF_NEED_CUDA=$(usex cuda 1 0)
681 - export TF_DOWNLOAD_CLANG=0
682 - export TF_CUDA_CLANG=0
683 - export TF_NEED_TENSORRT=0
684 - if use cuda; then
685 - export TF_CUDA_PATHS="${EPREFIX}/opt/cuda"
686 - export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)"
687 - export TF_CUDA_VERSION="$(cuda_toolkit_version)"
688 - export TF_CUDNN_VERSION="$(cuda_cudnn_version)"
689 - einfo "Setting CUDA version: $TF_CUDA_VERSION"
690 - einfo "Setting CUDNN version: $TF_CUDNN_VERSION"
691 -
692 - if [[ *$(gcc-version)* != $(cuda-config -s) ]]; then
693 - ewarn "TensorFlow is being built with Nvidia CUDA support. Your default compiler"
694 - ewarn "version is not supported by the currently installed CUDA. TensorFlow will"
695 - ewarn "instead be compiled using: ${GCC_HOST_COMPILER_PATH}."
696 - ewarn "If the build fails with linker errors try rebuilding the relevant"
697 - ewarn "dependencies using the same compiler version."
698 - fi
699 -
700 - if [[ -z "$TF_CUDA_COMPUTE_CAPABILITIES" ]]; then
701 - ewarn "WARNING: Tensorflow is being built with its default CUDA compute capabilities: 3.5 and 7.0."
702 - ewarn "These may not be optimal for your GPU."
703 - ewarn ""
704 - ewarn "To configure Tensorflow with the CUDA compute capability that is optimal for your GPU,"
705 - ewarn "set TF_CUDA_COMPUTE_CAPABILITIES in your make.conf, and re-emerge tensorflow."
706 - ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TF_CUDA_COMPUTE_CAPABILITIES=7.5,3.5"
707 - ewarn ""
708 - ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus"
709 - ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'"
710 - fi
711 - fi
712 -
713 - # com_googlesource_code_re2 weird branch using absl, doesnt work with released re2
714 - local SYSLIBS=(
715 - absl_py
716 - astor_archive
717 - astunparse_archive
718 - boringssl
719 - com_github_googleapis_googleapis
720 - com_github_googlecloudplatform_google_cloud_cpp
721 - com_github_grpc_grpc
722 - com_google_protobuf
723 - curl
724 - cython
725 - dill_archive
726 - double_conversion
727 - enum34_archive
728 - flatbuffers
729 - functools32_archive
730 - gast_archive
731 - gif
732 - hwloc
733 - icu
734 - jsoncpp_git
735 - libjpeg_turbo
736 - lmdb
737 - nasm
738 - nsync
739 - opt_einsum_archive
740 - org_sqlite
741 - pasta
742 - pcre
743 - png
744 - pybind11
745 - six_archive
746 - snappy
747 - tblib_archive
748 - termcolor_archive
749 - typing_extensions_archive
750 - wrapt
751 - zlib
752 - )
753 -
754 - export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
755 - export TF_IGNORE_MAX_BAZEL_VERSION=1
756 -
757 - # This is not autoconf
758 - ./configure || die
759 -
760 - echo 'build --config=noaws --config=nohdfs' >> .bazelrc || die
761 - echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
762 -
763 - for cflag in $(pkg-config jsoncpp --cflags)
764 - do
765 - echo "build --copt=\"$cflag\"" >> .bazelrc || die
766 - echo "build --host_copt=\"$cflag\"" >> .bazelrc || die
767 - done
768 - }
769 - if use python; then
770 - python_foreach_impl run_in_build_dir do_configure
771 - else
772 - do_configure
773 - fi
774 -}
775 -
776 -src_compile() {
777 - export JAVA_HOME=$(java-config --jre-home) # so keepwork works
778 -
779 - if use python; then
780 - python_setup
781 - BUILD_DIR="${S}-${EPYTHON/./_}"
782 - cd "${BUILD_DIR}"
783 - fi
784 -
785 - # fail early if any deps are missing
786 - ebazel build -k --nobuild \
787 - //tensorflow:libtensorflow_framework.so \
788 - //tensorflow:libtensorflow.so \
789 - //tensorflow:libtensorflow_cc.so \
790 - $(usex python '//tensorflow/tools/pip_package:build_pip_package' '')
791 -
792 - ebazel build \
793 - //tensorflow:libtensorflow_framework.so \
794 - //tensorflow:libtensorflow.so
795 - ebazel build //tensorflow:libtensorflow_cc.so
796 -
797 - do_compile() {
798 - ebazel build //tensorflow/tools/pip_package:build_pip_package
799 - }
800 - BUILD_DIR="${S}"
801 - cd "${BUILD_DIR}"
802 - use python && python_foreach_impl run_in_build_dir do_compile
803 - ebazel shutdown
804 -}
805 -
806 -src_install() {
807 - local i j
808 - export JAVA_HOME=$(java-config --jre-home) # so keepwork works
809 -
810 - do_install() {
811 - einfo "Installing ${EPYTHON} files"
812 - local srcdir="${T}/src-${MULTIBUILD_VARIANT}"
813 - mkdir -p "${srcdir}" || die
814 - bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "${srcdir}" || die
815 - cd "${srcdir}" || die
816 - esetup.py install
817 -
818 - # libtensorflow_framework.so is in /usr/lib already
819 - rm -f "${D}/$(python_get_sitedir)"/${PN}/lib${PN}_framework.so* || die
820 - rm -f "${D}/$(python_get_sitedir)"/${PN}_core/lib${PN}_framework.so* || die
821 - python_optimize
822 - }
823 -
824 - if use python; then
825 - python_foreach_impl run_in_build_dir do_install
826 -
827 - # Symlink to python-exec scripts
828 - for i in "${ED}"/usr/lib/python-exec/*/*; do
829 - n="${i##*/}"
830 - [[ -e "${ED}/usr/bin/${n}" ]] || dosym ../lib/python-exec/python-exec2 "/usr/bin/${n}"
831 - done
832 -
833 - python_setup
834 - local BUILD_DIR="${S}-${EPYTHON/./_}"
835 - cd "${BUILD_DIR}" || die
836 - fi
837 -
838 - einfo "Installing headers"
839 - ebazel build //tensorflow:install_headers
840 - ebazel shutdown
841 - insinto /usr/include/${PN}/
842 - doins -r bazel-bin/tensorflow/include/*
843 -
844 - einfo "Installing libs"
845 - # Generate pkg-config file
846 - ${PN}/c/generate-pc.sh --prefix="${EPREFIX}"/usr --libdir=$(get_libdir) --version=${MY_PV} || die
847 - insinto /usr/$(get_libdir)/pkgconfig
848 - doins ${PN}.pc ${PN}_cc.pc
849 -
850 - for l in libtensorflow{,_framework,_cc}.so; do
851 - dolib.so bazel-bin/tensorflow/${l}
852 - dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1)
853 - dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1-3)
854 - done
855 -
856 - einstalldocs
857 -}