328 lines
9.8 KiB
Bash
328 lines
9.8 KiB
Bash
# Copyright 1999-2020 Gentoo Authors
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# Distributed under the terms of the GNU General Public License v2
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EAPI=7
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DISTUTILS_OPTIONAL=1
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PYTHON_COMPAT=( python3_{6,7,8} )
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MY_PV=${PV/_rc/-rc}
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MY_P=${PN}-${MY_PV}
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inherit bazel check-reqs cuda distutils-r1 flag-o-matic toolchain-funcs
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DESCRIPTION="Computation framework using data flow graphs for scalable machine learning"
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HOMEPAGE="https://www.tensorflow.org/"
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LICENSE="Apache-2.0"
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SLOT="0"
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KEYWORDS="~amd64 ~arm64 ~x86 ~amd64-linux ~x86-linux"
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IUSE="cuda mpi +python"
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CPU_USE_FLAGS_X86="sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma3 fma4"
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for i in $CPU_USE_FLAGS_X86; do
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IUSE+=" cpu_flags_x86_$i"
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done
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# distfiles that bazel uses for the workspace, will be copied to basel-distdir
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bazel_external_uris="
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http://www.kurims.kyoto-u.ac.jp/~ooura/fft.tgz -> oourafft-20061228.tgz
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https://bitbucket.org/eigen/eigen/get/9f48e814419e.tar.gz -> eigen-9f48e814419e.tar.gz
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https://github.com/abseil/abseil-cpp/archive/389ec3f906f018661a5308458d623d01f96d7b23.tar.gz -> abseil-cpp-389ec3f906f018661a5308458d623d01f96d7b23.tar.gz
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https://github.com/bazelbuild/rules_closure/archive/dbb96841cc0a5fb2664c37822803b06dab20c7d1.tar.gz -> bazelbuild-rules_closure-dbb96841cc0a5fb2664c37822803b06dab20c7d1.tar.gz
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https://github.com/bazelbuild/rules_docker/archive/a9bb1dab84cdf46e34d1b34b53a17bda129b5eba.tar.gz -> rules_docker-a9bb1dab84cdf46e34d1b34b53a17bda129b5eba.tar.gz
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https://github.com/google/double-conversion/archive/3992066a95b823efc8ccc1baf82a1cfc73f6e9b8.zip -> double-conversion-3992066a95b823efc8ccc1baf82a1cfc73f6e9b8.zip
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https://github.com/google/farmhash/archive/816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz -> farmhash-816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
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https://github.com/google/gemmlowp/archive/38ebac7b059e84692f53e5938f97a9943c120d98.zip -> gemmlowp-38ebac7b059e84692f53e5938f97a9943c120d98.zip
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https://github.com/google/highwayhash/archive/fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz -> highwayhash-fd3d9af80465e4383162e4a7c5e2f406e82dd968.tar.gz
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https://github.com/nlopezgi/bazel-toolchains/archive/3f8c58fe530fedc446de04673bc1e32985887dea.tar.gz -> bazel-toolchains-3f8c58fe530fedc446de04673bc1e32985887dea.tar.gz
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cuda? (
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https://github.com/nvidia/nccl/archive/f93fe9bfd94884cec2ba711897222e0df5569a53.tar.gz -> nvidia-nccl-f93fe9bfd94884cec2ba711897222e0df5569a53.tar.gz
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https://github.com/NVlabs/cub/archive/1.8.0.zip -> cub-1.8.0.zip
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)
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python? (
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https://github.com/intel/ARM_NEON_2_x86_SSE/archive/1200fe90bb174a6224a525ee60148671a786a71f.tar.gz -> ARM_NEON_2_x86_SSE-1200fe90bb174a6224a525ee60148671a786a71f.tar.gz
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https://mirror.bazel.build/docs.python.org/2.7/_sources/license.rst.txt -> tensorflow-python-license.rst.txt
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https://pypi.python.org/packages/bc/cc/3cdb0a02e7e96f6c70bd971bc8a90b8463fda83e264fa9c5c1c98ceabd81/backports.weakref-1.0rc1.tar.gz
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)"
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SRC_URI="https://github.com/${PN}/${PN}/archive/v${MY_PV}.tar.gz -> ${P}.tar.gz
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${bazel_external_uris}"
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# cuda-10.1 / cudnn 7.5 is not supported yet
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RDEPEND="
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app-arch/snappy
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dev-db/lmdb
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dev-db/sqlite
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dev-libs/icu
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>=dev-libs/jsoncpp-1.8.4
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dev-libs/libpcre
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dev-libs/nsync
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dev-libs/openssl:0=
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>=dev-libs/protobuf-3.6.0:=
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>=dev-libs/re2-0.2018.04.01
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media-libs/giflib
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media-libs/libjpeg-turbo
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media-libs/libpng:0
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>=net-libs/grpc-1.16.0
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net-misc/curl
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sys-libs/zlib
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cuda? (
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|| (
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( =dev-util/nvidia-cuda-toolkit-10.0*[profiler] =dev-libs/cudnn-7.4* )
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( =dev-util/nvidia-cuda-toolkit-9.2*[profiler] =dev-libs/cudnn-7.1* )
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( =dev-util/nvidia-cuda-toolkit-9.1*[profiler] =dev-libs/cudnn-7.0* )
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)
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)
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mpi? ( virtual/mpi )
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python? (
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${PYTHON_DEPS}
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>=dev-libs/flatbuffers-1.8.0
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dev-python/absl-py[${PYTHON_USEDEP}]
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>=dev-python/astor-0.7.1[${PYTHON_USEDEP}]
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dev-python/gast[${PYTHON_USEDEP}]
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dev-python/numpy[${PYTHON_USEDEP}]
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dev-python/google-pasta[${PYTHON_USEDEP}]
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>=dev-python/protobuf-python-3.6.0[${PYTHON_USEDEP}]
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dev-python/six[${PYTHON_USEDEP}]
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dev-python/termcolor[${PYTHON_USEDEP}]
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dev-python/grpcio[${PYTHON_USEDEP}]
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net-libs/google-cloud-cpp
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>=sci-libs/keras-applications-1.0.6[${PYTHON_USEDEP}]
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>=sci-libs/keras-preprocessing-1.0.5[${PYTHON_USEDEP}]
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>=sci-visualization/tensorboard-1.13.0[${PYTHON_USEDEP}]
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virtual/python-enum34[${PYTHON_USEDEP}]
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)"
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DEPEND="${RDEPEND}
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dev-python/mock"
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PDEPEND="python? (
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>=sci-libs/tensorflow-estimator-1.13.0[${PYTHON_USEDEP}]
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)"
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BDEPEND="
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app-arch/unzip
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>=dev-libs/protobuf-3.6.0
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dev-java/java-config
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dev-python/mock
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dev-lang/swig
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dev-python/cython
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<=dev-util/bazel-0.22.0
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cuda? (
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>=dev-util/nvidia-cuda-toolkit-8.0[profiler]
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)
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!python? ( dev-lang/python )
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python? (
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dev-python/grpcio-tools
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)"
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REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
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S="${WORKDIR}/${MY_P}"
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DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
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CHECKREQS_MEMORY="5G"
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CHECKREQS_DISK_BUILD="5G"
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get-cpu-flags() {
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local i f=()
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# Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
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for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
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use cpu_flags_x86_${i} && f+=( -m${i/_/.} )
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done
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use cpu_flags_x86_fma3 && f+=( -mfma )
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echo "${f[*]}"
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}
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pkg_setup() {
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local num_pythons_enabled
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num_pythons_enabled=0
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count_impls(){
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num_pythons_enabled=$((${num_pythons_enabled} + 1))
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}
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use python && python_foreach_impl count_impls
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# 5 G to build C/C++ libs, 5G per python impl
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CHECKREQS_DISK_BUILD="$((5 + 5 * $num_pythons_enabled))G"
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check-reqs_pkg_setup
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}
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src_unpack() {
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# Only unpack the main distfile
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unpack "${P}.tar.gz"
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bazel_load_distfiles "${bazel_external_uris}"
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}
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src_prepare() {
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export JAVA_HOME=$(java-config --jre-home) # so keepwork works
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append-flags $(get-cpu-flags)
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bazel_setup_bazelrc
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default
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use python && python_copy_sources
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use cuda && cuda_add_sandbox
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}
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src_configure() {
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export JAVA_HOME=$(java-config --jre-home) # so keepwork works
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do_configure() {
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export CC_OPT_FLAGS=" "
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export TF_ENABLE_XLA=0
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export TF_NEED_OPENCL_SYCL=0
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export TF_NEED_OPENCL=0
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export TF_NEED_COMPUTECPP=0
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export TF_NEED_ROCM=0
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export TF_NEED_MPI=$(usex mpi 1 0)
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export TF_SET_ANDROID_WORKSPACE=0
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if use python; then
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python_export PYTHON_SITEDIR
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export PYTHON_BIN_PATH="${PYTHON}"
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export PYTHON_LIB_PATH="${PYTHON_SITEDIR}"
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else
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export PYTHON_BIN_PATH="$(which python)"
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export PYTHON_LIB_PATH="$(python -c 'from distutils.sysconfig import *; print(get_python_lib())')"
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fi
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export TF_NEED_CUDA=$(usex cuda 1 0)
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export TF_DOWNLOAD_CLANG=0
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export TF_CUDA_CLANG=0
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export TF_NEED_TENSORRT=0
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if use cuda; then
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export CUDA_TOOLKIT_PATH="${EPREFIX%/}/opt/cuda"
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export CUDNN_INSTALL_PATH="${EPREFIX%/}/opt/cuda"
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export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)"
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export TF_NCCL_VERSION="1"
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export TF_CUDA_VERSION="$(cuda_toolkit_version)"
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export TF_CUDNN_VERSION="$(cuda_cudnn_version)"
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einfo "Setting CUDA version: $TF_CUDA_VERSION"
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einfo "Setting CUDNN version: $TF_CUDNN_VERSION"
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fi
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local SYSLIBS=(
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absl_py
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astor_archive
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boringssl
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com_github_googleapis_googleapis
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com_github_googlecloudplatform_google_cloud_cpp
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com_google_protobuf
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com_google_protobuf_cc
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com_googlesource_code_re2
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curl
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cython
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flatbuffers
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gast_archive
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gif_archive
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grpc
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icu
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jpeg
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jsoncpp_git
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keras_applications_archive
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lmdb
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nasm
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nsync
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org_sqlite
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pcre
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png_archive
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protobuf_archive
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six_archive
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snappy
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swig
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termcolor_archive
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zlib_archive
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)
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export TF_SYSTEM_LIBS="${SYSLIBS[@]}"
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export TF_IGNORE_MAX_BAZEL_VERSION=1
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# This is not autoconf
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./configure || die
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echo 'build --config=noaws --config=nohdfs --config=noignite --config=nokafka' >> .bazelrc || die
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}
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if use python; then
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python_foreach_impl run_in_build_dir do_configure
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else
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do_configure
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fi
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}
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src_compile() {
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export JAVA_HOME=$(java-config --jre-home) # so keepwork works
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if use python; then
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python_setup
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BUILD_DIR="${S}-${EPYTHON/./_}"
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cd "${BUILD_DIR}"
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fi
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# fail early if any deps are missing
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ebazel build --nobuild \
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//tensorflow:libtensorflow_framework.so \
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//tensorflow:libtensorflow.so \
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//tensorflow:libtensorflow_cc.so \
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$(usex python '//tensorflow/tools/pip_package:build_pip_package' '')
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ebazel build \
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//tensorflow:libtensorflow_framework.so \
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//tensorflow:libtensorflow.so
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ebazel build //tensorflow:libtensorflow_cc.so
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do_compile() {
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ebazel build //tensorflow/tools/pip_package:build_pip_package
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}
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BUILD_DIR="${S}"
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cd "${BUILD_DIR}"
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use python && python_foreach_impl run_in_build_dir do_compile
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ebazel shutdown
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}
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src_install() {
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local i j
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export JAVA_HOME=$(java-config --jre-home) # so keepwork works
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do_install() {
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einfo "Installing ${EPYTHON} files"
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local srcdir="${T}/src-${MULTIBUILD_VARIANT}"
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mkdir -p "${srcdir}" || die
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bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "${srcdir}" || die
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cd "${srcdir}" || die
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esetup.py install
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# libtensorflow_framework.so is in /usr/lib already
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python_export PYTHON_SITEDIR PYTHON_SCRIPTDIR
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rm -f "${D}/${PYTHON_SITEDIR}"/${PN}/lib${PN}_framework.so* || die
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python_optimize
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}
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if use python; then
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python_foreach_impl run_in_build_dir do_install
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# Symlink to python-exec scripts
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for i in "${ED}"/usr/lib/python-exec/*/*; do
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n="${i##*/}"
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[[ -e "${ED}/usr/bin/${n}" ]] || dosym ../lib/python-exec/python-exec2 "/usr/bin/${n}"
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done
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python_setup
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local BUILD_DIR="${S}-${EPYTHON/./_}"
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cd "${BUILD_DIR}" || die
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fi
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einfo "Installing headers"
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ebazel build //tensorflow:install_headers
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ebazel shutdown
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insinto /usr/include/${PN}/
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doins -r bazel-genfiles/tensorflow/include/*
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einfo "Installing libs"
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# Generate pkg-config file
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${PN}/c/generate-pc.sh --prefix="${EPREFIX}"/usr --libdir=$(get_libdir) --version=${MY_PV} || die
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insinto /usr/$(get_libdir)/pkgconfig
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doins ${PN}.pc
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dolib.so bazel-bin/tensorflow/lib${PN}_framework.so
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dolib.so bazel-bin/tensorflow/lib${PN}.so
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dolib.so bazel-bin/tensorflow/lib${PN}_cc.so
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einstalldocs
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}
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