sci-libs/tensorflow: bump 2.4.0_rc4

Signed-off-by: Jason Zaman <perfinion@gentoo.org>
This commit is contained in:
Jason Zaman
2020-12-06 19:55:30 -08:00
parent f302207384
commit 7b49d73c85
2 changed files with 408 additions and 0 deletions

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@@ -36,5 +36,7 @@ DIST sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz 2569603 BLAKE2B
DIST tensorflow-1.15.0-python-license.rst.txt 45132 BLAKE2B 8a8ace4b64fd9eda1932272704dd4fea002d2562cd9c2c94470d3ff5de58bb171ff849d3f998ea90cd779d1084d39af1267aca8400b74b701205d2e76e6a2628 SHA512 c79c42f4ceecf33c8f8778ca17b53595b75d5d0bdf30b11058cf01dd70a6351f530ca9dd846460aba14edc1d5876f7bf6fa0f9f49f7915590b0f54d267ce3856
DIST tensorflow-2.3.1.tar.gz 46544608 BLAKE2B c3cb0954fcd060b95d63895cbeeca20f6af29ade999dc43db5fe010d6b33b6f650047d529f174a1663c23440a56e057e2f97c503a4a40bcdac9374b549f3220e SHA512 e497ef4564f50abf9f918be4522cf702f4cf945cb1ebf83af1386ac4ddc7373b3ba70c7f803f8ca06faf2c6b5396e60b1e0e9b97bfbd667e733b08b6e6d70ef0
DIST tensorflow-2.4.0_rc3.tar.gz 53251141 BLAKE2B 45a05fc1bc6f5f940487ecfd53a5dd37718a39a2a3dfd536cb6e41ba1da9fbac9e166aeb288ad122adc6474af94c13a2370779c37aa7162de3cb0c015acd5c44 SHA512 c02901fb41aa996a4d3c4a118cd76c62502e99be64f6ecf98208b2c65ed9f8c87c4060dcc983f6fe8280207b3bfa967e5f325e2d926aa1b4429f99fc0153c2e1
DIST tensorflow-2.4.0_rc4.tar.gz 53246897 BLAKE2B 4020cfa0ac72e4c06ee0ce69f44b3560132d2e885fd828bfcba9a951bc968d779c8de1507e888e36a3094510a973efc9e97304448b60f7b9847fab052de8e234 SHA512 fe69642a5cd0a6f7e8ae7abb93dec06225958d02f037936421a2b0c75bfc7d99efd5e1c6e0e3c2d0a6d3404516f4d178349d1fa88d81a14adb65d027339cb237
DIST tensorflow-patches-2.3.1-r1.tar.bz2 12300 BLAKE2B 068c127d7e980baf63068c524c9411e4f19bb79ee369221cf474a964a15ad340b28bde09504a8d524167eea036caf9d2dc52d0ad7ae1e52a76d1892833b033a0 SHA512 510676e4f999c12331a61bfeeca45b2526292d8bca8b0b42c1d8d466bc52722075fbd4df26a5f67dbe1ca4ccd9059e783c113cf694b436ff48c8114c99234cd3
DIST tensorflow-patches-2.4.0_rc3.tar.bz2 1843 BLAKE2B 6d4188471502e4411a5a7a6e731142af38421961600c52e7d76d137f952a5b8327dc8d8b4a40b60d3fb46130fe3d40ae2adc3d60d9a882f9d9b07d424e45e194 SHA512 abf9fbd870a8fa59b9d4e1b8260c4fbb5badeeca3e2b77caa031036759302bccae4adf91b291bc7a12df3c679b887338a8cd98d41847eb8ddd0c2bf4b8ccf342
DIST tensorflow-patches-2.4.0_rc4.tar.bz2 1843 BLAKE2B 69d2bec532fbd65fcd44589ab554f3f9069112203a201c8ca2d19fedf1f4fa4211197b35a59cc487496e226f55a8e21e3865e04aee3df87fc13727558e5a3b74 SHA512 835055001c291bc7a32a0ec41e33ec9a8d17fada25af47d9d075c2991699ac52006f225b59ee9d828f71066e7fba3f5f1549388034b25ca0bedbebe0a3946355

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@@ -0,0 +1,406 @@
# Copyright 1999-2020 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=7
DISTUTILS_OPTIONAL=1
PYTHON_COMPAT=( python3_{6,7,8} )
DISTUTILS_USE_SETUPTOOLS=rdepend
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/petewarden/OouraFFT/archive/v1.0.tar.gz -> OouraFFT-v1.0.tar.gz
https://gitlab.com/libeigen/eigen/-/archive/011e0db31d1bed8b7f73662be6d57d9f30fa457a/eigen-011e0db31d1bed8b7f73662be6d57d9f30fa457a.tar.gz
https://github.com/abseil/abseil-cpp/archive/df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz -> abseil-cpp-df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz
https://github.com/bazelbuild/bazel-skylib/releases/download/0.9.0/bazel_skylib-0.9.0.tar.gz
https://github.com/bazelbuild/rules_android/archive/v0.1.1.zip -> bazelbuild-rules_android-v0.1.1.zip
https://github.com/bazelbuild/bazel-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz -> bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz
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/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz
https://github.com/llvm/llvm-project/archive/f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz -> llvm-f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz
https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
https://github.com/google/ruy/archive/5bb02fbf90824c2eb6cd7418f766c593106a332b.zip -> ruy-5bb02fbf90824c2eb6cd7418f766c593106a332b.zip
https://github.com/pytorch/cpuinfo/archive/d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz -> pytorch-cpuinfo-d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz
https://github.com/pytorch/cpuinfo/archive/6cecd15784fcb6c5c0aa7311c6248879ce2cb8b2.zip -> pytorch-cpuinfo-6cecd15784fcb6c5c0aa7311c6248879ce2cb8b2.zip
cuda? (
https://github.com/nvidia/nccl/archive/195232556936b39b01cc908296e1650b80d4a3e9.tar.gz -> nvidia-nccl-195232556936b39b01cc908296e1650b80d4a3e9.tar.gz
https://github.com/NVlabs/cub/archive/1.9.9.zip -> cub-1.9.9.zip
)
python? (
https://github.com/intel/ARM_NEON_2_x86_SSE/archive/1200fe90bb174a6224a525ee60148671a786a71f.tar.gz -> ARM_NEON_2_x86_SSE-1200fe90bb174a6224a525ee60148671a786a71f.tar.gz
https://storage.googleapis.com/mirror.tensorflow.org/docs.python.org/2.7/_sources/license.rst.txt -> tensorflow-1.15.0-python-license.rst.txt
https://pypi.python.org/packages/bc/cc/3cdb0a02e7e96f6c70bd971bc8a90b8463fda83e264fa9c5c1c98ceabd81/backports.weakref-1.0rc1.tar.gz
)"
SRC_URI="https://github.com/${PN}/${PN}/archive/v${MY_PV}.tar.gz -> ${P}.tar.gz
https://dev.gentoo.org/~perfinion/patches/tensorflow-patches-${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-3.13.0:=
>=dev-libs/re2-0.2019.06.01:=
media-libs/giflib
media-libs/libjpeg-turbo
media-libs/libpng:0
>=net-libs/grpc-1.28:=
net-misc/curl
sys-libs/zlib
>=sys-apps/hwloc-2
cuda? (
|| (
( =dev-util/nvidia-cuda-toolkit-11.1*[profiler] =dev-libs/cudnn-8* )
( =dev-util/nvidia-cuda-toolkit-11.0*[profiler] =dev-libs/cudnn-8* )
( =dev-util/nvidia-cuda-toolkit-10.2*[profiler] >=dev-libs/cudnn-7.6 )
( =dev-util/nvidia-cuda-toolkit-10.1*[profiler] >=dev-libs/cudnn-7.5 )
( =dev-util/nvidia-cuda-toolkit-10.0*[profiler] =dev-libs/cudnn-7.4* )
( =dev-util/nvidia-cuda-toolkit-9.2*[profiler] =dev-libs/cudnn-7.1* )
( =dev-util/nvidia-cuda-toolkit-9.1*[profiler] =dev-libs/cudnn-7.0* )
)
)
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[${PYTHON_USEDEP}]
dev-python/six[${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[${PYTHON_USEDEP}]
>=sci-visualization/tensorboard-2.4.0[${PYTHON_USEDEP}]
)"
DEPEND="${RDEPEND}
python? (
dev-python/mock
dev-python/setuptools
)"
PDEPEND="python? (
>=sci-libs/tensorflow-estimator-2.4.0_rc0[${PYTHON_USEDEP}]
)"
BDEPEND="
app-arch/unzip
>=dev-libs/protobuf-3.8.0
dev-java/java-config
=dev-util/bazel-3*
cuda? (
>=dev-util/nvidia-cuda-toolkit-9.1[profiler]
)
!python? ( dev-lang/python )
python? (
dev-python/cython
dev-python/mock
>=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 $(get-cpu-flags)
bazel_setup_bazelrc
eapply "${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" WORKSPACE || 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=$(java-config --jre-home) # so keepwork works
do_configure() {
export CC_OPT_FLAGS=" "
export TF_ENABLE_XLA=$(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: $TF_CUDNN_VERSION"
if [[ *$(gcc-version)* != $(cuda-config -s) ]]; 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
local SYSLIBS=(
absl_py
astor_archive
astunparse_archive
boringssl
com_github_googleapis_googleapis
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
for cflag in $(pkg-config jsoncpp --cflags)
do
echo "build --copt=\"$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
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 "${BUILD_DIR}"
use python && python_foreach_impl run_in_build_dir do_compile
ebazel shutdown
}
src_install() {
local i j
export JAVA_HOME=$(java-config --jre-home) # so keepwork works
do_install() {
einfo "Installing ${EPYTHON} files"
local srcdir="${T}/src-${MULTIBUILD_VARIANT}"
mkdir -p "${srcdir}" || die
bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "${srcdir}" || die
cd "${srcdir}" || die
esetup.py install
# libtensorflow_framework.so is in /usr/lib already
rm -f "${D}/$(python_get_sitedir)"/${PN}/lib${PN}_framework.so* || die
rm -f "${D}/$(python_get_sitedir)"/${PN}_core/lib${PN}_framework.so* || die
python_optimize
}
if use python; then
python_foreach_impl run_in_build_dir do_install
# Symlink to python-exec scripts
for i in "${ED}"/usr/lib/python-exec/*/*; do
n="${i##*/}"
[[ -e "${ED}/usr/bin/${n}" ]] || dosym ../lib/python-exec/python-exec2 "/usr/bin/${n}"
done
python_setup
local BUILD_DIR="${S}-${EPYTHON/./_}"
cd "${BUILD_DIR}" || die
fi
einfo "Installing headers"
ebazel build //tensorflow:install_headers
ebazel shutdown
insinto /usr/include/${PN}/
doins -r bazel-bin/tensorflow/include/*
einfo "Installing libs"
# Generate pkg-config file
${PN}/c/generate-pc.sh --prefix="${EPREFIX}"/usr --libdir=$(get_libdir) --version=${MY_PV} || die
insinto /usr/$(get_libdir)/pkgconfig
doins ${PN}.pc ${PN}_cc.pc
for l in libtensorflow{,_framework,_cc}.so; do
dolib.so bazel-bin/tensorflow/${l}
dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1)
dolib.so bazel-bin/tensorflow/${l}.$(ver_cut 1-3)
done
einstalldocs
}