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: 1608939747.22138667e197563e5d84acbe55bf37cf83a57f1b.perfinion@gentoo
1 commit: 22138667e197563e5d84acbe55bf37cf83a57f1b
2 Author: Jason Zaman <perfinion <AT> gentoo <DOT> org>
3 AuthorDate: Fri Dec 25 23:05:01 2020 +0000
4 Commit: Jason Zaman <perfinion <AT> gentoo <DOT> org>
5 CommitDate: Fri Dec 25 23:42:27 2020 +0000
6 URL: https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=22138667
7
8 sci-libs/tensorflow: bump 2.4.0
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 | 2 +
14 sci-libs/tensorflow/tensorflow-2.4.0.ebuild | 406 ++++++++++++++++++++++++++++
15 2 files changed, 408 insertions(+)
16
17 diff --git a/sci-libs/tensorflow/Manifest b/sci-libs/tensorflow/Manifest
18 index 30c85e81acf..3c898c6a7b9 100644
19 --- a/sci-libs/tensorflow/Manifest
20 +++ b/sci-libs/tensorflow/Manifest
21 @@ -35,8 +35,10 @@ DIST ruy-5bb02fbf90824c2eb6cd7418f766c593106a332b.zip 312653 BLAKE2B 57439930979
22 DIST sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz 2569603 BLAKE2B cd66dc8a0b4ad3ea586a79ef588c8d68e4f05b6ea89e6d8119b5ee338b9046c11a747ca57c2f80a3c90fab119c05e85f5965571c9e522ccb8a312b95804d1a36 SHA512 b819d050bb38246b503f1eb3d6e7d878d0f166f3602ae3c327749b1f6ddc2b1d6ac7f768b1f1d055b98b7b98812e4643a75bcebc9728c7f615d67ca739761b3e
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.ebuild b/sci-libs/tensorflow/tensorflow-2.4.0.ebuild
34 new file mode 100644
35 index 00000000000..a953b71ef79
36 --- /dev/null
37 +++ b/sci-libs/tensorflow/tensorflow-2.4.0.ebuild
38 @@ -0,0 +1,406 @@
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="${RDEPEND}
162 + python? (
163 + dev-python/mock
164 + dev-python/setuptools
165 + )"
166 +PDEPEND="python? (
167 + >=sci-libs/tensorflow-estimator-2.4.0[${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 +}