diff options
Diffstat (limited to 'sci-libs/caffe2/caffe2-2.0.1.ebuild')
| -rw-r--r-- | sci-libs/caffe2/caffe2-2.0.1.ebuild | 196 |
1 files changed, 0 insertions, 196 deletions
diff --git a/sci-libs/caffe2/caffe2-2.0.1.ebuild b/sci-libs/caffe2/caffe2-2.0.1.ebuild deleted file mode 100644 index 558e1671f543..000000000000 --- a/sci-libs/caffe2/caffe2-2.0.1.ebuild +++ /dev/null @@ -1,196 +0,0 @@ -# Copyright 2022-2023 Gentoo Authors -# Distributed under the terms of the GNU General Public License v2 - -EAPI=8 - -PYTHON_COMPAT=( python3_{9..11} ) -inherit python-single-r1 cmake cuda flag-o-matic - -MYPN=pytorch -MYP=${MYPN}-${PV} - -DESCRIPTION="A deep learning framework" -HOMEPAGE="https://pytorch.org/" -SRC_URI="https://github.com/pytorch/${MYPN}/archive/refs/tags/v${PV}.tar.gz - -> ${MYP}.tar.gz" - -LICENSE="BSD" -SLOT="0" -KEYWORDS="~amd64" -IUSE="cuda distributed fbgemm ffmpeg gloo mpi nnpack +numpy opencl opencv openmp qnnpack tensorpipe xnnpack" -RESTRICT="test" -REQUIRED_USE=" - ${PYTHON_REQUIRED_USE} - ffmpeg? ( opencv ) - mpi? ( distributed ) - tensorpipe? ( distributed ) - distributed? ( tensorpipe ) - gloo? ( distributed ) -" # ?? ( cuda rocm ) - -# CUDA 12 not supported yet: https://github.com/pytorch/pytorch/issues/91122 -RDEPEND=" - ${PYTHON_DEPS} - dev-cpp/gflags:= - >=dev-cpp/glog-0.5.0 - dev-libs/cpuinfo - dev-libs/libfmt - dev-libs/protobuf:= - dev-libs/pthreadpool - dev-libs/sleef - sci-libs/lapack - >=sci-libs/onnx-1.12.0 - sci-libs/foxi - cuda? ( - =dev-libs/cudnn-8* - dev-libs/cudnn-frontend:0/8 - <dev-util/nvidia-cuda-toolkit-12:=[profiler] - ) - fbgemm? ( dev-libs/FBGEMM ) - ffmpeg? ( media-video/ffmpeg:= ) - gloo? ( sci-libs/gloo[cuda?] ) - mpi? ( sys-cluster/openmpi ) - nnpack? ( sci-libs/NNPACK ) - numpy? ( $(python_gen_cond_dep ' - dev-python/numpy[${PYTHON_USEDEP}] - ') ) - opencl? ( virtual/opencl ) - opencv? ( media-libs/opencv:= ) - qnnpack? ( sci-libs/QNNPACK ) - tensorpipe? ( sci-libs/tensorpipe ) - xnnpack? ( >=sci-libs/XNNPACK-2022.12.22 ) -" -DEPEND=" - ${RDEPEND} - dev-cpp/eigen - cuda? ( dev-libs/cutlass ) - dev-libs/psimd - dev-libs/FP16 - dev-libs/FXdiv - dev-libs/pocketfft - dev-libs/flatbuffers - sci-libs/kineto - $(python_gen_cond_dep ' - dev-python/pyyaml[${PYTHON_USEDEP}] - dev-python/pybind11[${PYTHON_USEDEP}] - ') -" - -S="${WORKDIR}"/${MYP} - -PATCHES=( - "${FILESDIR}"/${PN}-2.0.0-gentoo.patch - "${FILESDIR}"/${PN}-1.13.0-install-dirs.patch - "${FILESDIR}"/${PN}-1.12.0-glog-0.6.0.patch - "${FILESDIR}"/${PN}-1.13.1-tensorpipe.patch - "${FILESDIR}"/${PN}-2.0.0-gcc13.patch - "${FILESDIR}"/${PN}-2.0.0-cudnn_include_fix.patch -) - -src_prepare() { - filter-lto #bug 862672 - sed -i \ - -e "/third_party\/gloo/d" \ - cmake/Dependencies.cmake \ - || die - cmake_src_prepare - pushd torch/csrc/jit/serialization || die - flatc --cpp --gen-mutable --scoped-enums mobile_bytecode.fbs || die - popd -} - -src_configure() { - if use cuda && [[ -z ${TORCH_CUDA_ARCH_LIST} ]]; then - ewarn "WARNING: caffe2 is being built with its default CUDA compute capabilities: 3.5 and 7.0." - ewarn "These may not be optimal for your GPU." - ewarn "" - ewarn "To configure caffe2 with the CUDA compute capability that is optimal for your GPU," - ewarn "set TORCH_CUDA_ARCH_LIST in your make.conf, and re-emerge caffe2." - ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TORCH_CUDA_ARCH_LIST=7.5,3.5" - ewarn "For a Maxwell model GPU, an example value would be: TORCH_CUDA_ARCH_LIST=Maxwell" - ewarn "" - ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus" - ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'" - fi - - local mycmakeargs=( - -DBUILD_CUSTOM_PROTOBUF=OFF - -DBUILD_SHARED_LIBS=ON - - -DUSE_CCACHE=OFF - -DUSE_CUDA=$(usex cuda) - -DUSE_CUDNN=$(usex cuda) - -DUSE_FAST_NVCC=$(usex cuda) - -DTORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-3.5 7.0}" - -DBUILD_NVFUSER=OFF - -DUSE_DISTRIBUTED=$(usex distributed) - -DUSE_MPI=$(usex mpi) - -DUSE_FAKELOWP=OFF - -DUSE_FBGEMM=$(usex fbgemm) - -DUSE_FFMPEG=$(usex ffmpeg) - -DUSE_GFLAGS=ON - -DUSE_GLOG=ON - -DUSE_GLOO=$(usex gloo) - -DUSE_KINETO=OFF # TODO - -DUSE_LEVELDB=OFF - -DUSE_MAGMA=OFF # TODO: In GURU as sci-libs/magma - -DUSE_MKLDNN=OFF - -DUSE_NCCL=OFF # TODO: NVIDIA Collective Communication Library - -DUSE_NNPACK=$(usex nnpack) - -DUSE_QNNPACK=$(usex qnnpack) - -DUSE_XNNPACK=$(usex xnnpack) - -DUSE_SYSTEM_XNNPACK=$(usex xnnpack) - -DUSE_TENSORPIPE=$(usex tensorpipe) - -DUSE_PYTORCH_QNNPACK=OFF - -DUSE_NUMPY=$(usex numpy) - -DUSE_OPENCL=$(usex opencl) - -DUSE_OPENCV=$(usex opencv) - -DUSE_OPENMP=$(usex openmp) - -DUSE_ROCM=OFF # TODO - -DUSE_SYSTEM_CPUINFO=ON - -DUSE_SYSTEM_PYBIND11=ON - -DUSE_UCC=OFF - -DUSE_VALGRIND=OFF - -DPYBIND11_PYTHON_VERSION="${EPYTHON#python}" - -DPYTHON_EXECUTABLE="${PYTHON}" - -DUSE_ITT=OFF - -DBLAS=Eigen # avoid the use of MKL, if found on the system - -DUSE_SYSTEM_EIGEN_INSTALL=ON - -DUSE_SYSTEM_PTHREADPOOL=ON - -DUSE_SYSTEM_FXDIV=ON - -DUSE_SYSTEM_FP16=ON - -DUSE_SYSTEM_GLOO=ON - -DUSE_SYSTEM_ONNX=ON - -DUSE_SYSTEM_SLEEF=ON - - -Wno-dev - -DTORCH_INSTALL_LIB_DIR="${EPREFIX}"/usr/$(get_libdir) - -DLIBSHM_INSTALL_LIB_SUBDIR="${EPREFIX}"/usr/$(get_libdir) - ) - - if use cuda; then - addpredict "/dev/nvidiactl" # bug 867706 - addpredict "/dev/char" - - mycmakeargs+=( - -DCMAKE_CUDA_FLAGS="$(cuda_gccdir -f | tr -d \")" - ) - fi - cmake_src_configure -} - -src_install() { - cmake_src_install - - insinto "/var/lib/${PN}" - doins "${BUILD_DIR}"/CMakeCache.txt - - rm -rf python - mkdir -p python/torch/include || die - mv "${ED}"/usr/lib/python*/site-packages/caffe2 python/ || die - mv "${ED}"/usr/include/torch python/torch/include || die - cp torch/version.py python/torch/ || die - rm -rf "${ED}"/var/tmp || die - python_domodule python/caffe2 - python_domodule python/torch -} |