tensorflow-2.12.0.ebuild
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# Copyright 1999-2023 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_OPTIONAL=1
PYTHON_COMPAT=( python3_10 python3_11 )
MY_PV=${PV/_rc/-rc}
MY_P=${PN}-${MY_PV}
DEP_VER="$(ver_cut 1-2)"
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/"
RESTRICT="test" # Tests need GPU access
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
# pkgcheck complains but do NOT change the .zip to .tar.gz, bazel requires the exact tarball (basename and sha256).
# the build will fail if different archives are used.
bazel_external_uris="
https://github.com/Maratyszcza/FP16/archive/4dfe081cf6bcd15db339cf2680b9281b8451eeb3.zip -> FP16-4dfe081cf6bcd15db339cf2680b9281b8451eeb3.zip
https://github.com/Maratyszcza/FXdiv/archive/63058eff77e11aa15bf531df5dd34395ec3017c8.zip -> FXdiv-63058eff77e11aa15bf531df5dd34395ec3017c8.zip
https://github.com/Maratyszcza/pthreadpool/archive/b8374f80e42010941bda6c85b0e3f1a1bd77a1e0.zip -> pthreadpool-b8374f80e42010941bda6c85b0e3f1a1bd77a1e0.zip
https://github.com/bazelbuild/apple_support/releases/download/1.1.0/apple_support.1.1.0.tar.gz
https://github.com/bazelbuild/bazel-skylib/releases/download/1.3.0/bazel-skylib-1.3.0.tar.gz
https://github.com/bazelbuild/bazel-toolchains/archive/8c717f8258cd5f6c7a45b97d974292755852b658.tar.gz -> bazel-toolchains-8c717f8258cd5f6c7a45b97d974292755852b658.tar.gz
https://github.com/bazelbuild/platforms/releases/download/0.0.6/platforms-0.0.6.tar.gz -> bazelbuild-platforms-0.0.6.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_apple/releases/download/1.0.1/rules_apple.1.0.1.tar.gz
https://github.com/bazelbuild/rules_cc/archive/081771d4a0e9d7d3aa0eed2ef389fa4700dfb23e.tar.gz -> bazelbuild-rules_cc-081771d4a0e9d7d3aa0eed2ef389fa4700dfb23e.tar.gz
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_jvm_external/archive/4.3.zip -> bazelbuild-rules_jvm_external-4.3.zip
https://github.com/bazelbuild/rules_pkg/releases/download/0.7.1/rules_pkg-0.7.1.tar.gz -> bazelbuild-rules_pkg-0.7.1.tar.gz
https://github.com/bazelbuild/rules_proto/archive/11bf7c25e666dd7ddacbcd4d4c4a9de7a25175f8.tar.gz -> bazelbuild-rules_proto-11bf7c25e666dd7ddacbcd4d4c4a9de7a25175f8.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/releases/download/1.0.0/rules_swift.1.0.0.tar.gz -> bazelbuild-rules_swift.1.0.0.tar.gz
https://github.com/dmlc/dlpack/archive/9351cf542ab478499294864ff3acfdab5c8c5f3d.tar.gz -> dlpack-9351cf542ab478499294864ff3acfdab5c8c5f3d.tar.gz
https://github.com/google/XNNPACK/archive/659147817805d17c7be2d60bd7bbca7e780f9c82.zip -> XNNPACK-659147817805d17c7be2d60bd7bbca7e780f9c82.zip
https://github.com/google/farmhash/archive/0d859a811870d10f53a594927d0d0b97573ad06d.tar.gz -> farmhash-0d859a811870d10f53a594927d0d0b97573ad06d.tar.gz
https://github.com/google/gemmlowp/archive/e844ffd17118c1e17d94e1ba4354c075a4577b88.zip -> gemmlowp-e844ffd17118c1e17d94e1ba4354c075a4577b88.zip
https://github.com/google/highwayhash/archive/c13d28517a4db259d738ea4886b1f00352a3cc33.tar.gz -> highwayhash-c13d28517a4db259d738ea4886b1f00352a3cc33.tar.gz
https://github.com/google/re2/archive/a276a8c738735a0fe45a6ee590fe2df69bcf4502.tar.gz -> re2-a276a8c738735a0fe45a6ee590fe2df69bcf4502.tar.gz
https://github.com/google/ruy/archive/3286a34cc8de6149ac6844107dfdffac91531e72.zip -> ruy-3286a34cc8de6149ac6844107dfdffac91531e72.zip
https://github.com/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz
https://github.com/llvm/llvm-project/archive/10939d1d580b9d3c9c2f3539c6bdb39f408179c0.tar.gz -> llvm-project-10939d1d580b9d3c9c2f3539c6bdb39f408179c0.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/131.1.0.tar.gz -> kissfft-131.1.0.tar.gz
https://github.com/oneapi-src/oneDNN/archive/refs/tags/v2.7.3.tar.gz -> oneDNN-v2.7.3.tar.gz
https://github.com/openxla/stablehlo/archive/51f005f0a8ff6e28f535adfec4de936cb4097aa4.zip -> openxla-stablehlo-51f005f0a8ff6e28f535adfec4de936cb4097aa4.zip
https://github.com/openxla/triton/archive/2c3853269281da6742cf469a5ca5772947d271ce.tar.gz -> openxla-triton-2c3853269281da6742cf469a5ca5772947d271ce.tar.gz
https://github.com/petewarden/OouraFFT/archive/v1.0.tar.gz -> OouraFFT-v1.0.tar.gz
https://github.com/pytorch/cpuinfo/archive/3dc310302210c1891ffcfb12ae67b11a3ad3a150.tar.gz -> pytorch-cpuinfo-3dc310302210c1891ffcfb12ae67b11a3ad3a150.tar.gz
https://github.com/pytorch/cpuinfo/archive/3dc310302210c1891ffcfb12ae67b11a3ad3a150.zip -> pytorch-cpuinfo-3dc310302210c1891ffcfb12ae67b11a3ad3a150.zip
https://github.com/tensorflow/runtime/archive/91d765cad5599f9710973d3e34d4dc22583e2e79.tar.gz -> tensorflow-runtime-91d765cad5599f9710973d3e34d4dc22583e2e79.tar.gz
https://gitlab.com/libeigen/eigen/-/archive/3460f3558e7b469efb8a225894e21929c8c77629/eigen-3460f3558e7b469efb8a225894e21929c8c77629.tar.gz
cuda? (
https://github.com/NVIDIA/cudnn-frontend/archive/refs/tags/v0.7.3.zip -> cudnn-frontend-v0.7.3.zip
https://github.com/NVlabs/cub/archive/1.9.9.zip -> cub-1.9.9.zip
https://github.com/nvidia/nccl/archive/v2.16.2-1.tar.gz -> nvidia-nccl-v2.16.2-1.tar.gz
)
python? (
https://github.com/intel/ARM_NEON_2_x86_SSE/archive/a15b489e1222b2087007546b4912e21293ea86ff.tar.gz -> ARM_NEON_2_x86_SSE-a15b489e1222b2087007546b4912e21293ea86ff.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
)"
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}"
# abseil-cpp-20211102.0-r0 does not work with NVCC
RDEPEND="
app-arch/snappy
>=dev-cpp/abseil-cpp-20211102-r2:=
dev-db/lmdb
dev-db/sqlite
dev-libs/double-conversion
dev-libs/icu:=
>=dev-libs/jsoncpp-1.9.2:=
>=dev-libs/nsync-1.25.0
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-11.9_pre:=[profiler]
=dev-libs/cudnn-8*
)
mpi? ( virtual/mpi )
python? (
${PYTHON_DEPS}
>=dev-libs/flatbuffers-2.0.6:=
dev-python/absl-py[${PYTHON_USEDEP}]
>=dev-python/astor-0.7.1[${PYTHON_USEDEP}]
dev-python/astunparse[${PYTHON_USEDEP}]
dev-python/clang-python[${PYTHON_USEDEP}]
dev-python/dill[${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-visualization/tensorboard-${DEP_VER}[${PYTHON_USEDEP}]
)"
DEPEND="${RDEPEND}
python? (
dev-python/mock
dev-python/setuptools
)"
PDEPEND="python? (
>=sci-libs/keras-${DEP_VER}[${PYTHON_USEDEP}]
>=sci-libs/tensorflow-estimator-${DEP_VER}[${PYTHON_USEDEP}]
)"
BDEPEND="
app-arch/unzip
>=dev-libs/protobuf-3.8.0
dev-java/java-config
=dev-util/bazel-5*
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() {
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, 6G 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 $(get-cpu-flags)
append-cxxflags -std=c++17
export BUILD_CXXFLAGS+=" -std=c++17"
filter-flags '-fvtable-verify=@(std|preinit)'
bazel_setup_bazelrc
eapply "${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_absl
com_google_protobuf
curl
cython
dill_archive
double_conversion
flatbuffers
functools32_archive
gast_archive
gif
hwloc
icu
jsoncpp_git
libjpeg_turbo
lmdb
nasm
nsync
opt_einsum_archive
org_sqlite
pasta
png
pybind11
six_archive
snappy
tblib_archive
termcolor_archive
typing_extensions_archive
wrapt
zlib
)
export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
export TF_IGNORE_MAX_BAZEL_VERSION=1
# This is not autoconf
./configure || die
echo 'build --config=noaws --config=nohdfs --config=nonccl' >> .bazelrc || die
echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
echo "build --action_env=KERAS_HOME=\"${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}" || die
fi
# fail early if any deps are missing
ebazel build -k --nobuild \
//tensorflow:libtensorflow_framework.so \
//tensorflow:libtensorflow.so \
//tensorflow:libtensorflow_cc.so \
$(usex python '//tensorflow/tools/pip_package:build_pip_package' '')
ebazel build \
//tensorflow:libtensorflow_framework.so \
//tensorflow:libtensorflow.so
ebazel build //tensorflow:libtensorflow_cc.so
ebazel build //tensorflow:install_headers
ebazel shutdown
do_compile() {
ebazel build //tensorflow/tools/pip_package:build_pip_package
ebazel shutdown
}
BUILD_DIR="${S}"
cd "${BUILD_DIR}" || die
use python && python_foreach_impl run_in_build_dir do_compile
}
src_install() {
local i l
export JAVA_HOME=$(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"
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
# Workaround for https://bugs.gentoo.org/831927
export MAKEOPTS="-j1"
}
| ||