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401 lines
14 KiB
401 lines
14 KiB
# Copyright 1999-2021 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_{7,8} )
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DISTUTILS_USE_SETUPTOOLS=rdepend
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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 prefix 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"
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IUSE="cuda mpi +python xla"
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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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https://github.com/petewarden/OouraFFT/archive/v1.0.tar.gz -> OouraFFT-v1.0.tar.gz
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https://gitlab.com/libeigen/eigen/-/archive/011e0db31d1bed8b7f73662be6d57d9f30fa457a/eigen-011e0db31d1bed8b7f73662be6d57d9f30fa457a.tar.gz
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https://github.com/abseil/abseil-cpp/archive/df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz -> abseil-cpp-df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz
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https://github.com/bazelbuild/bazel-skylib/releases/download/0.9.0/bazel_skylib-0.9.0.tar.gz
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https://github.com/bazelbuild/rules_android/archive/v0.1.1.zip -> bazelbuild-rules_android-v0.1.1.zip
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https://github.com/bazelbuild/bazel-toolchains/archive/92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz -> bazel-toolchains-92dd8a7a518a2fb7ba992d47c8b38299fe0be825.tar.gz
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https://github.com/bazelbuild/rules_cc/archive/01d4a48911d5e7591ecb1c06d3b8af47fe872371.zip -> bazelbuild-rules_cc-01d4a48911d5e7591ecb1c06d3b8af47fe872371.zip
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https://github.com/bazelbuild/rules_closure/archive/308b05b2419edb5c8ee0471b67a40403df940149.tar.gz -> bazelbuild-rules_closure-308b05b2419edb5c8ee0471b67a40403df940149.tar.gz
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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
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https://github.com/bazelbuild/rules_java/archive/7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip -> bazelbuild-rules_java-7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip
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https://github.com/bazelbuild/rules_proto/archive/97d8af4dc474595af3900dd85cb3a29ad28cc313.tar.gz -> bazelbuild-rules_proto-97d8af4dc474595af3900dd85cb3a29ad28cc313.tar.gz
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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
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https://github.com/bazelbuild/rules_swift/archive/3eeeb53cebda55b349d64c9fc144e18c5f7c0eb8.tar.gz -> bazelbuild-rules_swift-3eeeb53cebda55b349d64c9fc144e18c5f7c0eb8.tar.gz
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https://github.com/dmlc/dlpack/archive/3efc489b55385936531a06ff83425b719387ec63.tar.gz -> dlpack-3efc489b55385936531a06ff83425b719387ec63.tar.gz
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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/fda83bdc38b118cc6b56753bd540caa49e570745.zip -> gemmlowp-fda83bdc38b118cc6b56753bd540caa49e570745.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/google/re2/archive/506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz -> re2-506cfa4bffd060c06ec338ce50ea3468daa6c814.tar.gz
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https://github.com/joe-kuo/sobol_data/archive/835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz -> sobol_data-835a7d7b1ee3bc83e575e302a985c66ec4b65249.tar.gz
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https://github.com/llvm/llvm-project/archive/f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz -> llvm-f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz
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https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz
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https://github.com/google/ruy/archive/5bb02fbf90824c2eb6cd7418f766c593106a332b.zip -> ruy-5bb02fbf90824c2eb6cd7418f766c593106a332b.zip
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https://github.com/pytorch/cpuinfo/archive/d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz -> pytorch-cpuinfo-d5e37adf1406cf899d7d9ec1d317c47506ccb970.tar.gz
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https://github.com/pytorch/cpuinfo/archive/6cecd15784fcb6c5c0aa7311c6248879ce2cb8b2.zip -> pytorch-cpuinfo-6cecd15784fcb6c5c0aa7311c6248879ce2cb8b2.zip
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cuda? (
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https://github.com/nvidia/nccl/archive/195232556936b39b01cc908296e1650b80d4a3e9.tar.gz -> nvidia-nccl-195232556936b39b01cc908296e1650b80d4a3e9.tar.gz
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https://github.com/NVlabs/cub/archive/1.9.9.zip -> cub-1.9.9.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://storage.googleapis.com/mirror.tensorflow.org/docs.python.org/2.7/_sources/license.rst.txt -> tensorflow-1.15.0-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 -> ${P}.tar.gz
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https://dev.gentoo.org/~perfinion/patches/tensorflow-patches-${PVR}.tar.bz2
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${bazel_external_uris}"
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RDEPEND="
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app-arch/snappy
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dev-db/lmdb
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dev-db/sqlite
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dev-libs/double-conversion
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dev-libs/icu:=
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>=dev-libs/jsoncpp-1.9.2
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dev-libs/libpcre
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dev-libs/nsync
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dev-libs/openssl:0=
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>=dev-libs/protobuf-3.13.0:=
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>=dev-libs/re2-0.2019.06.01:=
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media-libs/giflib
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media-libs/libjpeg-turbo
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media-libs/libpng:0
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>=net-libs/grpc-1.28:=
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net-misc/curl
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sys-libs/zlib
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>=sys-apps/hwloc-2
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cuda? (
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|| (
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( =dev-util/nvidia-cuda-toolkit-11.1*[profiler] =dev-libs/cudnn-8* )
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)
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)
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mpi? ( virtual/mpi )
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python? (
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${PYTHON_DEPS}
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>=dev-libs/flatbuffers-1.12.0:=
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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/astunparse[${PYTHON_USEDEP}]
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dev-python/dill[${PYTHON_USEDEP}]
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dev-python/flatbuffers[${PYTHON_USEDEP}]
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>=dev-python/gast-0.3.3[${PYTHON_USEDEP}]
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dev-python/h5py[${PYTHON_USEDEP}]
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>=dev-python/numpy-1.19[${PYTHON_USEDEP}]
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>=dev-python/google-pasta-0.1.8[${PYTHON_USEDEP}]
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>=dev-python/opt-einsum-3.3.0[${PYTHON_USEDEP}]
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>=dev-python/protobuf-python-3.13.0[${PYTHON_USEDEP}]
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dev-python/pybind11[${PYTHON_USEDEP}]
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dev-python/six[${PYTHON_USEDEP}]
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dev-python/tblib[${PYTHON_USEDEP}]
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dev-python/termcolor[${PYTHON_USEDEP}]
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dev-python/typing-extensions[${PYTHON_USEDEP}]
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>=dev-python/grpcio-1.28[${PYTHON_USEDEP}]
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>=dev-python/wrapt-1.11.1[${PYTHON_USEDEP}]
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>=net-libs/google-cloud-cpp-0.10.0
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>=sci-libs/keras-applications-1.0.8[${PYTHON_USEDEP}]
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>=sci-libs/keras-preprocessing-1.1.2[${PYTHON_USEDEP}]
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>=sci-visualization/tensorboard-2.4.0[${PYTHON_USEDEP}]
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)"
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DEPEND="${RDEPEND}
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python? (
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dev-python/mock
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dev-python/setuptools
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)"
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PDEPEND="python? (
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>=sci-libs/tensorflow-estimator-2.4.0[${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-3.8.0
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dev-java/java-config
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=dev-util/bazel-3*
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cuda? (
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>=dev-util/nvidia-cuda-toolkit-9.1[profiler]
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)
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!python? ( dev-lang/python )
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python? (
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dev-python/cython
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dev-python/mock
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>=dev-python/grpcio-tools-1.28
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)"
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REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
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S="${WORKDIR}/${MY_P}"
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DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md )
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CHECKREQS_MEMORY="5G"
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CHECKREQS_DISK_BUILD="10G"
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get-cpu-flags() {
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local i f=()
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# Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc.
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for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do
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use cpu_flags_x86_${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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ewarn "TensorFlow 2.0 is a major release that contains some incompatibilities"
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ewarn "with TensorFlow 1.x. For more information about migrating to TF2.0 see:"
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ewarn "https://www.tensorflow.org/guide/migrate"
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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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# 10G to build C/C++ libs, 5G per python impl
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CHECKREQS_DISK_BUILD="$((10 + 6 * ${num_pythons_enabled}))G"
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check-reqs_pkg_setup
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}
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src_unpack() {
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# Only unpack the main distfile
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unpack "${P}.tar.gz"
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unpack tensorflow-patches-${PVR}.tar.bz2
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bazel_load_distfiles "${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 $(get-cpu-flags)
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bazel_setup_bazelrc
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eapply "${WORKDIR}"/patches/*.patch
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# Relax version checks in setup.py
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sed -i "/^ '/s/==/>=/g" tensorflow/tools/pip_package/setup.py || die
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sed -i "/config_googleapis/d" WORKSPACE || die
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# Prefixify hard-coded command locations
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hprefixify -w /host_compiler_prefix/ third_party/gpus/cuda_configure.bzl
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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=$(java-config --jre-home) # so keepwork works
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do_configure() {
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export CC_OPT_FLAGS=" "
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export TF_ENABLE_XLA=$(usex xla 1 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=$(usex mpi 1 0)
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export TF_SET_ANDROID_WORKSPACE=0
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if use python; then
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export PYTHON_BIN_PATH="${PYTHON}"
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export PYTHON_LIB_PATH="$(python_get_sitedir)"
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else
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export PYTHON_BIN_PATH="$(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 TF_CUDA_PATHS="${EPREFIX}/opt/cuda"
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export GCC_HOST_COMPILER_PATH="$(cuda_gccdir)/$(tc-getCC)"
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export TF_CUDA_VERSION="$(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: $TF_CUDNN_VERSION"
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if [[ *$(gcc-version)* != $(cuda-config -s) ]]; then
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ewarn "TensorFlow is being built with Nvidia CUDA support. Your default compiler"
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ewarn "version is not supported by the currently installed CUDA. TensorFlow will"
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ewarn "instead be compiled using: ${GCC_HOST_COMPILER_PATH}."
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ewarn "If the build fails with linker errors try rebuilding the relevant"
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ewarn "dependencies using the same compiler version."
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fi
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if [[ -z "$TF_CUDA_COMPUTE_CAPABILITIES" ]]; then
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ewarn "WARNING: Tensorflow is being built with its default CUDA compute capabilities: 3.5 and 7.0."
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ewarn "These may not be optimal for your GPU."
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ewarn ""
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ewarn "To configure Tensorflow with the CUDA compute capability that is optimal for your GPU,"
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ewarn "set TF_CUDA_COMPUTE_CAPABILITIES in your make.conf, and re-emerge tensorflow."
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ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TF_CUDA_COMPUTE_CAPABILITIES=7.5,3.5"
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ewarn ""
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ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus"
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ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'"
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fi
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fi
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# com_googlesource_code_re2 weird branch using absl, doesnt work with released re2
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local SYSLIBS=(
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absl_py
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astor_archive
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astunparse_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_github_grpc_grpc
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com_google_protobuf
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curl
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cython
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dill_archive
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double_conversion
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enum34_archive
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flatbuffers
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functools32_archive
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gast_archive
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gif
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hwloc
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icu
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jsoncpp_git
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libjpeg_turbo
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lmdb
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nasm
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nsync
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opt_einsum_archive
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org_sqlite
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pasta
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pcre
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png
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pybind11
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six_archive
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snappy
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tblib_archive
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termcolor_archive
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typing_extensions_archive
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wrapt
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zlib
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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' >> .bazelrc || die
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echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die
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for cflag in $($(tc-getPKG_CONFIG) jsoncpp --cflags)
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do
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echo "build --copt=\"$cflag\"" >> .bazelrc || die
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echo "build --host_copt=\"$cflag\"" >> .bazelrc || die
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done
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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 -k --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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rm -f "${D}/$(python_get_sitedir)"/${PN}/lib${PN}_framework.so* || die
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rm -f "${D}/$(python_get_sitedir)"/${PN}_core/lib${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
|
|
|
|
# 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
|
|
}
|