diff options
Diffstat (limited to 'sci-libs/tensorflow/tensorflow-2.2.0.ebuild')
| -rw-r--r-- | sci-libs/tensorflow/tensorflow-2.2.0.ebuild | 378 |
1 files changed, 378 insertions, 0 deletions
diff --git a/sci-libs/tensorflow/tensorflow-2.2.0.ebuild b/sci-libs/tensorflow/tensorflow-2.2.0.ebuild new file mode 100644 index 000000000000..7abd3707e97f --- /dev/null +++ b/sci-libs/tensorflow/tensorflow-2.2.0.ebuild @@ -0,0 +1,378 @@ +# Copyright 1999-2020 Gentoo Authors +# Distributed under the terms of the GNU General Public License v2 + +EAPI=7 + +DISTUTILS_OPTIONAL=1 +PYTHON_COMPAT=( python{3_6,3_7} ) +MY_PV=${PV/_rc/-rc} +MY_P=${PN}-${MY_PV} + +inherit bazel check-reqs cuda distutils-r1 flag-o-matic 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://storage.googleapis.com/mirror.tensorflow.org/www.kurims.kyoto-u.ac.jp/~ooura/fft2d.tgz -> oourafft2d-20061228.tgz + https://gitlab.com/libeigen/eigen/-/archive/52a2fbbb008a47c5e3fb8ac1c65c2feecb0c511c/eigen-52a2fbbb008a47c5e3fb8ac1c65c2feecb0c511c.tar.gz + https://github.com/abseil/abseil-cpp/archive/43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.tar.gz -> abseil-cpp-43ef2148c0936ebf7cb4be6b19927a9d9d145b8f.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_apple/releases/download/0.18.0/rules_apple.0.18.0.tar.gz -> bazelbuild-rules_apple.0.18.0.tar.gz + https://github.com/bazelbuild/apple_support/releases/download/0.7.1/apple_support.0.7.1.tar.gz -> bazelbuild-apple_support.0.7.1.tar.gz + 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_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/0.12.1/rules_swift.0.12.1.tar.gz -> bazelbuild-rules_swift.0.12.1.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/12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.zip -> gemmlowp-12fed0cd7cfcd9e169bf1925bc3a7a58725fdcc3.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/387c3f74fd8efdc0be464b0e1a8033cc1eeb739c.tar.gz -> llvm-387c3f74fd8efdc0be464b0e1a8033cc1eeb739c.tar.gz + https://github.com/mborgerding/kissfft/archive/36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz -> kissfft-36dbc057604f00aacfc0288ddad57e3b21cfc1b8.tar.gz + cuda? ( + https://github.com/nvidia/nccl/archive/3701130b3c1bcdb01c14b3cb70fe52498c1e82b7.tar.gz -> nvidia-nccl-3701130b3c1bcdb01c14b3cb70fe52498c1e82b7.tar.gz + https://github.com/NVlabs/cub/archive/1.8.0.zip -> cub-1.8.0.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-3.8.0:= + >=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-9.1[profiler] + dev-libs/cudnn + ) + mpi? ( virtual/mpi ) + python? ( + ${PYTHON_DEPS} + >=dev-libs/flatbuffers-1.8.0 + dev-python/absl-py[${PYTHON_USEDEP}] + >=dev-python/astor-0.7.1[${PYTHON_USEDEP}] + dev-python/astunparse[${PYTHON_USEDEP}] + >=dev-python/gast-0.3.3[${PYTHON_USEDEP}] + >=dev-python/numpy-1.16[${PYTHON_USEDEP}] + >=dev-python/google-pasta-0.1.8[${PYTHON_USEDEP}] + dev-python/opt-einsum[${PYTHON_USEDEP}] + >=dev-python/protobuf-python-3.8.0[${PYTHON_USEDEP}] + dev-python/six[${PYTHON_USEDEP}] + dev-python/termcolor[${PYTHON_USEDEP}] + >=dev-python/grpcio-1.28[${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-1.1.0[${PYTHON_USEDEP}] + >=sci-visualization/tensorboard-2.0.0[${PYTHON_USEDEP}] + )" +DEPEND="${RDEPEND} + python? ( + dev-python/mock + dev-python/setuptools + )" +PDEPEND="python? ( + >=sci-libs/tensorflow-estimator-2.0.0[${PYTHON_USEDEP}] + )" +BDEPEND=" + app-arch/unzip + >=dev-libs/protobuf-3.8.0 + dev-java/java-config + dev-lang/swig + =dev-util/bazel-2.0* + 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 + + 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 + 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 + swig + termcolor_archive + wrapt + zlib + ) + + export TF_SYSTEM_LIBS="${SYSLIBS[@]}" + export TF_IGNORE_MAX_BAZEL_VERSION=1 + + # This is not autoconf + ./configure || die + + echo 'build --config=noaws --config=nohdfs' >> .bazelrc || die + echo 'build --define tensorflow_mkldnn_contraction_kernel=0' >> .bazelrc || die + } + if use python; then + python_foreach_impl run_in_build_dir do_configure + else + do_configure + fi +} + +src_compile() { + export JAVA_HOME=$(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 +} |