diff options
Diffstat (limited to 'sci-libs/tensorflow/tensorflow-2.15.0.ebuild')
| -rw-r--r-- | sci-libs/tensorflow/tensorflow-2.15.0.ebuild | 464 |
1 files changed, 0 insertions, 464 deletions
diff --git a/sci-libs/tensorflow/tensorflow-2.15.0.ebuild b/sci-libs/tensorflow/tensorflow-2.15.0.ebuild deleted file mode 100644 index d2304445fcf6..000000000000 --- a/sci-libs/tensorflow/tensorflow-2.15.0.ebuild +++ /dev/null @@ -1,464 +0,0 @@ -# Copyright 1999-2024 Gentoo Authors -# Distributed under the terms of the GNU General Public License v2 - -EAPI=8 - -DISTUTILS_OPTIONAL=1 -PYTHON_COMPAT=( python3_{10..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 multibuild 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/4fe0e1e183925bf8cfa6aae24237e724a96479b8.zip -> pthreadpool-4fe0e1e183925bf8cfa6aae24237e724a96479b8.zip - https://github.com/bazelbuild/apple_support/releases/download/1.6.0/apple_support.1.6.0.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/2.3.0/rules_apple.2.3.0.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_foreign_cc/archive/0.7.1.tar.gz -> bazelbuild-rules_foreign_cc-0.7.1.tar.gz - https://github.com/bazelbuild/rules_java/archive/7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip -> bazelbuild-rules_java-7cf3cefd652008d0a64a419c34c13bdca6c8f178.zip - https://github.com/bazelbuild/rules_java/releases/download/5.5.1/rules_java-5.5.1.tar.gz -> bazelbuild-rules_java-5.5.1.tar.gz - 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/0.1.0/rules_python-0.1.0.tar.gz -> bazelbuild-rules_python-0.1.0.tar.gz - https://github.com/bazelbuild/rules_swift/releases/download/1.5.0/rules_swift.1.5.0.tar.gz -> bazelbuild-rules_swift.1.5.0.tar.gz - https://github.com/dmlc/dlpack/archive/9351cf542ab478499294864ff3acfdab5c8c5f3d.tar.gz -> dlpack-9351cf542ab478499294864ff3acfdab5c8c5f3d.tar.gz - https://github.com/facebook/zstd/archive/v1.4.5.zip -> zstd-v1.4.5.zip - https://github.com/google/XNNPACK/archive/bbbaa7352a3ea729987d3e654d37be93e8009691.zip -> XNNPACK-bbbaa7352a3ea729987d3e654d37be93e8009691.zip - https://github.com/google/benchmark/archive/f7547e29ccaed7b64ef4f7495ecfff1c9f6f3d03.tar.gz -> benchmark-f7547e29ccaed7b64ef4f7495ecfff1c9f6f3d03.tar.gz - https://github.com/google/brotli/archive/3914999fcc1fda92e750ef9190aa6db9bf7bdb07.zip -> brotli-3914999fcc1fda92e750ef9190aa6db9bf7bdb07.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/03da4fc0857c285e3a26782f6bc8931c4c950df4.tar.gz -> re2-03da4fc0857c285e3a26782f6bc8931c4c950df4.tar.gz - https://github.com/google/riegeli/archive/264ef7b4a1314d97265b37544b27cd3923ea72d2.zip -> riegeli-264ef7b4a1314d97265b37544b27cd3923ea72d2.zip - https://github.com/google/ruy/archive/3286a34cc8de6149ac6844107dfdffac91531e72.zip -> ruy-3286a34cc8de6149ac6844107dfdffac91531e72.zip - https://github.com/googleapis/googleapis/archive/6b3fdcea8bc5398be4e7e9930c693f0ea09316a0.tar.gz -> googleapis-6b3fdcea8bc5398be4e7e9930c693f0ea09316a0.tar.gz - https://github.com/jax-ml/ml_dtypes/archive/2ca30a2b3c0744625ae3d6988f5596740080bbd0/ml_dtypes-2ca30a2b3c0744625ae3d6988f5596740080bbd0.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/49cb1595c1b3ae1de3684fea6148363c15bae12a.tar.gz -> llvm-project-49cb1595c1b3ae1de3684fea6148363c15bae12a.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/v3.2.1.tar.gz -> oneDNN-v3.2.1.tar.gz - https://github.com/openxla/stablehlo/archive/78f57e34a25367ef3192cd35da36b01c763f4ecf.zip -> openxla-stablehlo-78f57e34a25367ef3192cd35da36b01c763f4ecf.zip - https://github.com/openxla/triton/archive/cl555471166.tar.gz -> openxla-triton-cl555471166.tar.gz - https://github.com/petewarden/OouraFFT/archive/v1.0.tar.gz -> OouraFFT-v1.0.tar.gz - https://github.com/protocolbuffers/protobuf/archive/v3.21.9.zip -> protobuf-3.21.9.zip - https://github.com/pybind/pybind11_abseil/archive/2c4932ed6f6204f1656e245838f4f5eae69d2e29.tar.gz -> pybind11_abseil-2c4932ed6f6204f1656e245838f4f5eae69d2e29.tar.gz - https://github.com/pybind/pybind11_bazel/archive/72cbbf1fbc830e487e3012862b7b720001b70672.tar.gz -> pybind11_bazel-72cbbf1fbc830e487e3012862b7b720001b70672.tar.gz - https://github.com/pybind/pybind11_protobuf/archive/80f3440cd8fee124e077e2e47a8a17b78b451363.zip -> pybind11_protobuf-80f3440cd8fee124e077e2e47a8a17b78b451363.zip - https://github.com/pytorch/cpuinfo/archive/5e63739504f0f8e18e941bd63b2d6d42536c7d90.tar.gz -> pytorch-cpuinfo-5e63739504f0f8e18e941bd63b2d6d42536c7d90.tar.gz - https://github.com/pytorch/cpuinfo/archive/959002f82d7962a473d8bf301845f2af720e0aa4.zip -> pytorch-cpuinfo-959002f82d7962a473d8bf301845f2af720e0aa4.zip - https://github.com/tensorflow/runtime/archive/70637966e2ec9afccc2cf4d51ed2391172b1b9c5.tar.gz -> tensorflow-runtime-70637966e2ec9afccc2cf4d51ed2391172b1b9c5.tar.gz - https://github.com/yugr/Implib.so/archive/5fb84c2a750434b9df1da67d67b749eb929598f1.tar.gz -> Implib.so-5fb84c2a750434b9df1da67d67b749eb929598f1.tar.gz - https://gitlab.com/libeigen/eigen/-/archive/66e8f38891841bf88ee976a316c0c78a52f0cee5/eigen-66e8f38891841bf88ee976a316c0c78a52f0cee5.tar.gz - https://gitlab.mpcdf.mpg.de/mtr/ducc/-/archive/3d28aadfd8bb0219e3df188613dbbcdfffccc3cd/ducc-3d28aadfd8bb0219e3df188613dbbcdfffccc3cd.tar.gz - cuda? ( - https://github.com/NVIDIA/cudnn-frontend/archive/refs/tags/v0.9.zip -> cudnn-frontend-v0.9.zip - https://github.com/NVlabs/cub/archive/1.9.9.zip -> cub-1.9.9.zip - https://github.com/nvidia/nccl/archive/v2.16.5-1.tar.gz -> nvidia-nccl-v2.16.5-1.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 - ${bazel_external_uris}" - -# abseil-cpp-20211102.0-r0 does not work with NVCC -# check flatbuffers version in tensorflow/lite/schema/schema_generated.h -RDEPEND=" - app-arch/snappy - =dev-cpp/abseil-cpp-20230125.2*:= - 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:=[profiler] - =dev-libs/cudnn-8* - ) - mpi? ( virtual/mpi ) - python? ( - ${PYTHON_DEPS} - ~dev-libs/flatbuffers-23.5.26:= - dev-python/absl-py[${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-23.5.26[${PYTHON_USEDEP}] - >=dev-python/gast-0.3.3[${PYTHON_USEDEP}] - dev-python/h5py[${PYTHON_USEDEP}] - >=dev-python/ml-dtypes-0.2.0[${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}] - )" -# >=dev-libs/protobuf-3.8.0 -# bazel-6.4 failed with undefined references to `_mlir_ciface_*' -# see https://discuss.tensorflow.org/t/undefined-references-to-mlir-ciface-symbols/20571 -# bazel-6.3 failed with undefined reference to `riegeli::RecordsMetadata::Clear()' -# tested successfully on bazel-6.1.2, bazel-6.2.0 and bazel-6.2.1 -BDEPEND=" - app-arch/unzip - =dev-build/bazel-6* - <dev-build/bazel-6.3 - dev-java/java-config - 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 - ) - dev-util/patchelf" -REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )" - -S="${WORKDIR}/${MY_P}" - -DOCS=( AUTHORS CONTRIBUTING.md ISSUE_TEMPLATE.md README.md RELEASE.md ) -CHECKREQS_MEMORY="5G" -CHECKREQS_DISK_BUILD="10G" - -PATCHES=( - "${FILESDIR}/${P}-0001-WORKSPACE-add-rules-docker-http_archive-bazel-toolch.patch" - "${FILESDIR}/${P}-0002-systemlib-Latest-absl-LTS-has-split-cord-libs.patch" - "${FILESDIR}/${P}-0003-mkl_dnn-Must-link-against-libm-for-round-and-log2.patch" - "${FILESDIR}/${P}-0004-tensorflow_cc-Add-systemlib-nsync-linkopts.patch" - "${FILESDIR}/${P}-0005-systemlib-Updates-for-Abseil-20220623-LTS.patch" - "${FILESDIR}/${P}-0006-systemlib-Update-targets-for-absl_py.patch" - "${FILESDIR}/${P}-0007-systemlib-Add-well_known_types_py_pb2-target.patch" - "${FILESDIR}/${P}-0008-Relax-setup.py-version-requirements.patch" - "${FILESDIR}/${P}-0009-systemlib-update-targets-for-absl.patch" - "${FILESDIR}/${P}-0010-systemlib-fix-missing-osx-in-pybind11.patch" - "${FILESDIR}/${P}-0011-systemlib-fix-missing-LICENSE-in-flatbuffers.patch" - "${FILESDIR}/${P}-0012-installation-remove-cp_local_config_python.patch" - "${FILESDIR}/${P}-0013-build-use-non-hermetic-python.patch" -) - -get-cpu-flags() { - local i f=() - # Keep this list in sync with tensorflow/core/platform/cpu_feature_guard.cc. - for i in sse sse2 sse3 sse4_1 sse4_2 avx avx2 fma4; do - use cpu_flags_x86_${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" - bazel_load_distfiles "${bazel_external_uris}" -} - -src_prepare() { - local d - export JAVA_HOME=$(java-config --jre-home) # so keepwork works - export TF_PYTHON_VERSION="${EPYTHON/python/}" - - # Use non-hermetic python - for d in third_party third_party/xla/third_party third_party/xla/third_party/tsl/third_party; - do - mv ${d}/py/non_hermetic ${d} || die - rm -rf ${d}/py || die - mv ${d}/non_hermetic ${d}/py || die - done - - append-flags $(get-cpu-flags) - append-cxxflags -std=c++17 - export BUILD_CXXFLAGS+=" -std=c++17" - filter-flags '-fvtable-verify=@(std|preinit)' - bazel_setup_bazelrc - - # Relax version checks in setup.py - # Fixed in patch already - # sed -i "/^ '/s/==/>=/g" tensorflow/tools/pip_package/setup.py || die - - # Prefixify hard-coded command locations - hprefixify -w /host_compiler_prefix/ third_party/gpus/cuda_configure.bzl - - default - use python && python_copy_sources - - use cuda && cuda_add_sandbox -} - -src_configure() { - export JAVA_HOME=$(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 # $(usex cuda 1 0) - if use cuda; then - export TF_CUDA_PATHS="${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_google_protobuf is disabled due to https://github.com/tensorflow/tensorflow/issues/61593 - 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 - nasm - nsync - 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 and libtensorflow_cc.so is in /usr/lib already - rm -f "${D}/$(python_get_sitedir)"/${PN}/lib${PN}_framework.so* || die - rm -f "${D}/$(python_get_sitedir)"/${PN}/lib${PN}_cc.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 ${PN}_cc.pc - - for l in libtensorflow{,_framework,_cc}.so; do - patchelf --add-rpath '/opt/cuda/lib64' bazel-bin/tensorflow/${l} - 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" -} |