1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
|
# Copyright 1999-2022 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=7
DISTUTILS_OPTIONAL=1
PYTHON_COMPAT=( python3_{7,8,9} )
MY_PV=${PV/_rc/-rc}
MY_P=${PN}-${MY_PV}
inherit bazel check-reqs cuda distutils-r1 flag-o-matic prefix toolchain-funcs
DESCRIPTION="Computation framework using data flow graphs for scalable machine learning"
HOMEPAGE="https://www.tensorflow.org/"
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://github.com/abseil/abseil-cpp/archive/6f9d96a1f41439ac172ee2ef7ccd8edf0e5d068c.tar.gz -> abseil-cpp-6f9d96a1f41439ac172ee2ef7ccd8edf0e5d068c.tar.gz
https://github.com/bazelbuild/bazel-skylib/releases/download/1.0.3/bazel-skylib-1.0.3.tar.gz
https://github.com/bazelbuild/bazel-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz -> bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz
https://github.com/bazelbuild/rules_android/archive/v0.1.1.zip -> bazelbuild-rules_android-v0.1.1.zip
https://github.com/bazelbuild/rules_cc/archive/01d4a48911d5e7591ecb1c06d3b8af47fe872371.zip -> bazelbuild-rules_cc-01d4a48911d5e7591ecb1c06d3b8af47fe872371.zip
https://github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz -> bazelbuild-rules_closure-308b05b2419edb5c8ee0471b67a40403df940149.tar.gz
https://github.com/bazelbuild/rules_docker/releases/download/v0.10.0/rules_docker-v0.10.0.tar.gz -> bazelbuild-rules_docker-v0.10.0.tar.gz
https://github.com/bazelbuild/rules_java/archive/7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip -> bazelbuild-rules_java-7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip
https://github.com/bazelbuild/rules_proto/archive/97d8af4dc474595af3900dd85cb3a29ad28cc313.tar.gz -> bazelbuild-rules_proto-97d8af4dc474595af3900dd85cb3a29ad28cc313.tar.gz
https://github.com/bazelbuild/rules_python/releases/download/0.0.1/rules_python-0.0.1.tar.gz -> bazelbuild-rules_python-0.0.1.tar.gz
https://github.com/bazelbuild/rules_swift/archive/3eeeb53cebda55b349d64c9fc144e18c5f7c0eb8.tar.gz -> bazelbuild-rules_swift-3eeeb53cebda55b349d64c9fc144e18c5f7c0eb8.tar.gz
https://github.com/dmlc/dlpack/archive/3efc489b55385936531a06ff83425b719387ec63.tar.gz -> dlpack-3efc489b55385936531a06ff83425b719387ec63.tar.gz
https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz -> farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
https://github.com/google/gemmlowp/archive/fda83bdc38b118cc6b56753bd540caa49e570745.zip -> gemmlowp-fda83bdc38b118cc6b56753bd540caa49e570745.zip
https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
https://github.com/google/re2/archive/506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz -> re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz
https://github.com/google/ruy/archive/54774a7a2cf85963777289193629d4bd42de4a59.zip -> ruy-54774a7a2cf85963777289193629d4bd42de4a59.zip
https://github.com/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz
https://github.com/llvm/llvm-project/archive/1f6a57c1a0fad922e04a2b1f414b092d4b0cd8b0.tar.gz -> llvm-1f6a57c1a0fad922e04a2b1f414b092d4b0cd8b0.tar.gz
https://github.com/llvm/llvm-project/releases/download/llvmorg-10.0.1/openmp-10.0.1.src.tar.xz -> llvmorg-10.0.1-openmp-10.0.1.src.tar.xz
https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
https://github.com/oneapi-src/oneDNN/archive/v2.2.tar.gz -> oneDNN-v2.2.tar.gz
https://github.com/petewarden/OouraFFT/archive/v1.0.tar.gz -> OouraFFT-v1.0.tar.gz
https://github.com/pytorch/cpuinfo/archive/5916273f79a21551890fd3d56fc5375a78d1598d.zip -> pytorch-cpuinfo-5916273f79a21551890fd3d56fc5375a78d1598d.zip
https://github.com/pytorch/cpuinfo/archive/d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz -> pytorch-cpuinfo-d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz
https://github.com/tensorflow/toolchains/archive/v1.1.10.tar.gz -> tensorflow-toolchains-v1.1.10.tar.gz
https://gitlab.com/libeigen/eigen/-/archive/f612df273689a19d25b45ca4f8269463207c4fee/eigen-f612df273689a19d25b45ca4f8269463207c4fee.tar.gz
cuda? (
https://github.com/NVIDIA/cudnn-frontend/archive/360d6e7164dfb7c802493fd1c0464f0d815b852a.zip -> cudnn-frontend-360d6e7164dfb7c802493fd1c0464f0d815b852a.zip
https://github.com/NVlabs/cub/archive/1.9.9.zip -> cub-1.9.9.zip
https://github.com/nvidia/nccl/archive/v2.8.3-1.tar.gz -> nvidia-nccl-v2.8.3-1.tar.gz
)
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 -> ${P}.tar.gz
https://dev.gentoo.org/~perfinion/patches/tensorflow-patches-${PVR}.tar.bz2
${bazel_external_uris}"
RDEPEND="
app-arch/snappy
dev-db/lmdb
dev-db/sqlite
dev-libs/double-conversion
dev-libs/icu:=
>=dev-libs/jsoncpp-1.9.2:=
dev-libs/libpcre
dev-libs/nsync
dev-libs/openssl:0=
<dev-libs/protobuf-3.19.1:=
>=dev-libs/re2-0.2019.06.01:=
media-libs/giflib
media-libs/libjpeg-turbo
media-libs/libpng:0
<net-libs/grpc-1.39:=
net-misc/curl
sys-libs/zlib
>=sys-apps/hwloc-2:=
cuda? (
<dev-util/nvidia-cuda-toolkit-11.6_pre:=[profiler]
=dev-libs/cudnn-8*
)
mpi? ( virtual/mpi )
python? (
${PYTHON_DEPS}
>=dev-libs/flatbuffers-1.12.0:=
dev-python/absl-py[${PYTHON_USEDEP}]
>=dev-python/astor-0.7.1[${PYTHON_USEDEP}]
dev-python/astunparse[${PYTHON_USEDEP}]
dev-python/dill[${PYTHON_USEDEP}]
dev-python/flatbuffers[${PYTHON_USEDEP}]
>=dev-python/gast-0.3.3[${PYTHON_USEDEP}]
dev-python/h5py[${PYTHON_USEDEP}]
>=dev-python/numpy-1.19[${PYTHON_USEDEP}]
>=dev-python/google-pasta-0.1.8[${PYTHON_USEDEP}]
>=dev-python/opt-einsum-3.3.0[${PYTHON_USEDEP}]
>=dev-python/protobuf-python-3.13.0[${PYTHON_USEDEP}]
dev-python/pybind11[${PYTHON_USEDEP}]
dev-python/setuptools[${PYTHON_USEDEP}]
dev-python/six[${PYTHON_USEDEP}]
dev-python/tblib[${PYTHON_USEDEP}]
dev-python/termcolor[${PYTHON_USEDEP}]
dev-python/typing-extensions[${PYTHON_USEDEP}]
>=dev-python/grpcio-1.28[${PYTHON_USEDEP}]
>=dev-python/wrapt-1.11.1[${PYTHON_USEDEP}]
>=net-libs/google-cloud-cpp-0.10.0
>=sci-libs/keras-applications-1.0.8[${PYTHON_USEDEP}]
>=sci-libs/keras-preprocessing-1.1.2[${PYTHON_USEDEP}]
>=sci-visualization/tensorboard-2.5.0[${PYTHON_USEDEP}]
)"
DEPEND="${RDEPEND}"
PDEPEND="python? (
>=sci-libs/tensorflow-estimator-2.5.0[${PYTHON_USEDEP}]
)"
BDEPEND="
app-arch/unzip
>=dev-libs/protobuf-3.8.0
dev-java/java-config
>=dev-util/bazel-3.7.2
cuda? (
>=dev-util/nvidia-cuda-toolkit-9.1[profiler]
)
!python? ( dev-lang/python )
python? (
dev-python/cython[${PYTHON_USEDEP}]
dev-python/mock[${PYTHON_USEDEP}]
dev-python/setuptools[${PYTHON_USEDEP}]
>=dev-python/grpcio-tools-1.28
)"
REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
S="${WORKDIR}/${MY_P}"
DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
CHECKREQS_MEMORY="5G"
CHECKREQS_DISK_BUILD="10G"
get-cpu-flags() {
local i f=()
# Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
use cpu_flags_x86_${i} && f+=( -m${i/_/.} )
done
use cpu_flags_x86_fma3 && f+=( -mfma )
echo "${f[*]}"
}
pkg_setup() {
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
# 10G to build C/C++ libs, 5G per python impl
CHECKREQS_DISK_BUILD="$((10 + 6 * ${num_pythons_enabled}))G"
check-reqs_pkg_setup
}
src_unpack() {
# Only unpack the main distfile
unpack "${P}.tar.gz"
unpack tensorflow-patches-${PVR}.tar.bz2
bazel_load_distfiles "${bazel_external_uris}"
}
src_prepare() {
export JAVA_HOME=$(java-config --jre-home) # so keepwork works
append-flags $(get-cpu-flags)
append-cxxflags -std=c++14 # bug 787938
filter-flags '-fvtable-verify=@(std|preinit)'
bazel_setup_bazelrc
eapply "${WORKDIR}"/patches/*.patch
# Relax version checks in setup.py
sed -i "/^ '/s/==/>=/g" tensorflow/tools/pip_package/setup.py || die
sed -i "/config_googleapis/d" tensorflow/workspace0.bzl || die
# Prefixify hard-coded command locations
hprefixify -w /host_compiler_prefix/ third_party/gpus/cuda_configure.bzl
default
use python && python_copy_sources
use cuda && cuda_add_sandbox
}
src_configure() {
export JAVA_HOME=$(java-config --jre-home) # so keepwork works
export KERAS_HOME="${T}/.keras" # otherwise sandbox violation writing ~/.keras
do_configure() {
export CC_OPT_FLAGS=" "
export TF_ENABLE_XLA=$(usex xla 1 0)
export TF_NEED_OPENCL_SYCL=0
export TF_NEED_OPENCL=0
export TF_NEED_COMPUTECPP=0
export TF_NEED_ROCM=0
export TF_NEED_MPI=$(usex mpi 1 0)
export TF_SET_ANDROID_WORKSPACE=0
if use python; then
export PYTHON_BIN_PATH="${PYTHON}"
export PYTHON_LIB_PATH="$(python_get_sitedir)"
else
export PYTHON_BIN_PATH="$(which python)"
export PYTHON_LIB_PATH="$(python -c 'from distutils.sysconfig import *; print(get_python_lib())')"
fi
export TF_NEED_CUDA=$(usex cuda 1 0)
export TF_DOWNLOAD_CLANG=0
export TF_CUDA_CLANG=0
export TF_NEED_TENSORRT=0
if use cuda; then
export TF_CUDA_PATHS="${EPREFIX}/opt/cuda"
export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)"
export TF_CUDA_VERSION="$(cuda_toolkit_version)"
export TF_CUDNN_VERSION="$(cuda_cudnn_version)"
einfo "Setting CUDA version: $TF_CUDA_VERSION"
einfo "Setting CUDNN version: $TF_CUDNN_VERSION"
if [[ $(cuda-config -s) != *$(gcc-version)* ]]; then
ewarn "TensorFlow is being built with Nvidia CUDA support. Your default compiler"
ewarn "version is not supported by the currently installed CUDA. TensorFlow will"
ewarn "instead be compiled using: ${GCC_HOST_COMPILER_PATH}."
ewarn "If the build fails with linker errors try rebuilding the relevant"
ewarn "dependencies using the same compiler version."
fi
if [[ -z "$TF_CUDA_COMPUTE_CAPABILITIES" ]]; then
ewarn "WARNING: TensorFlow is being built with its default CUDA compute capabilities: 3.5 and 7.0."
ewarn "These may not be optimal for your GPU."
ewarn ""
ewarn "To configure TensorFlow with the CUDA compute capability that is optimal for your GPU,"
ewarn "set TF_CUDA_COMPUTE_CAPABILITIES in your make.conf, and re-emerge tensorflow."
ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TF_CUDA_COMPUTE_CAPABILITIES=7.5,3.5"
ewarn ""
ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus"
ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'"
fi
fi
# com_googlesource_code_re2 weird branch using absl, doesnt work with released re2
#com_github_googleapis_googleapis
local SYSLIBS=(
absl_py
astor_archive
astunparse_archive
boringssl
com_github_googlecloudplatform_google_cloud_cpp
com_github_grpc_grpc
com_google_protobuf
curl
cython
dill_archive
double_conversion
enum34_archive
flatbuffers
functools32_archive
gast_archive
gif
hwloc
icu
jsoncpp_git
libjpeg_turbo
lmdb
nasm
nsync
opt_einsum_archive
org_sqlite
pasta
pcre
png
pybind11
six_archive
snappy
tblib_archive
termcolor_archive
typing_extensions_archive
wrapt
zlib
)
export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
export TF_IGNORE_MAX_BAZEL_VERSION=1
# This is not autoconf
./configure || die
echo 'build --config=noaws --config=nohdfs' >> .bazelrc || die
echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
echo "build --action_env=KERAS_HOME=\"${T}/.keras\"" >> .bazelrc || die
echo "build --host_action_env=KERAS_HOME=\"${T}/.keras\"" >> .bazelrc || die
for cflag in $($(tc-getPKG_CONFIG) jsoncpp --cflags)
do
echo "build --copt=\"${cflag}\"" >> .bazelrc || die
echo "build --host_copt=\"${cflag}\"" >> .bazelrc || die
done
}
if use python; then
python_foreach_impl run_in_build_dir do_configure
else
do_configure
fi
}
src_compile() {
export JAVA_HOME=$(java-config --jre-home) # so keepwork works
export KERAS_HOME="${T}/.keras" # otherwise sandbox violation writing ~/.keras
if use python; then
python_setup
BUILD_DIR="${S}-${EPYTHON/./_}"
cd "${BUILD_DIR}"
fi
# fail early if any deps are missing
ebazel build -k --nobuild \
//tensorflow:libtensorflow_framework.so \
//tensorflow:libtensorflow.so \
//tensorflow:libtensorflow_cc.so \
$(usex python '//tensorflow/tools/pip_package:build_pip_package' '')
ebazel build \
//tensorflow:libtensorflow_framework.so \
//tensorflow:libtensorflow.so
ebazel build //tensorflow:libtensorflow_cc.so
do_compile() {
ebazel build //tensorflow/tools/pip_package:build_pip_package
}
BUILD_DIR="${S}"
cd "${BUILD_DIR}"
use python && python_foreach_impl run_in_build_dir do_compile
ebazel shutdown
}
src_install() {
local i l
export JAVA_HOME=$(java-config --jre-home) # so keepwork works
export KERAS_HOME="${T}/.keras" # otherwise sandbox violation writing ~/.keras
do_install() {
einfo "Installing ${EPYTHON} files"
local srcdir="${T}/src-${MULTIBUILD_VARIANT}"
mkdir -p "${srcdir}" || die
bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "${srcdir}" || die
cd "${srcdir}" || die
esetup.py install
# libtensorflow_framework.so is in /usr/lib already
rm -f "${D}/$(python_get_sitedir)"/${PN}/lib${PN}_framework.so* || die
rm -f "${D}/$(python_get_sitedir)"/${PN}_core/lib${PN}_framework.so* || die
python_optimize
}
if use python; then
python_foreach_impl run_in_build_dir do_install
# Symlink to python-exec scripts
for i in "${ED}"/usr/lib/python-exec/*/*; do
n="${i##*/}"
[[ -e "${ED}/usr/bin/${n}" ]] || dosym ../lib/python-exec/python-exec2 "/usr/bin/${n}"
done
python_setup
local BUILD_DIR="${S}-${EPYTHON/./_}"
cd "${BUILD_DIR}" || die
fi
einfo "Installing headers"
ebazel build //tensorflow:install_headers
ebazel shutdown
insinto /usr/include/${PN}/
doins -r bazel-bin/tensorflow/include/*
einfo "Installing libs"
# Generate $(tc-getPKG_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
}
|