diff options
author | V3n3RiX <venerix@koprulu.sector> | 2023-01-03 08:25:41 +0000 |
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committer | V3n3RiX <venerix@koprulu.sector> | 2023-01-03 08:25:41 +0000 |
commit | 2f28d79786e67cf29825843d6d04d4591a27f9cf (patch) | |
tree | 8a64339e27c973dd87bc7bf3434f082998eabe76 /sci-libs/caffe2/caffe2-1.12.0.ebuild | |
parent | 384d032fe7e048bb10cc9bc9881835c92d7e104c (diff) |
gentoo auto-resync : 03:01:2023 - 08:25:40
Diffstat (limited to 'sci-libs/caffe2/caffe2-1.12.0.ebuild')
-rw-r--r-- | sci-libs/caffe2/caffe2-1.12.0.ebuild | 163 |
1 files changed, 0 insertions, 163 deletions
diff --git a/sci-libs/caffe2/caffe2-1.12.0.ebuild b/sci-libs/caffe2/caffe2-1.12.0.ebuild deleted file mode 100644 index 035c81fabb3a..000000000000 --- a/sci-libs/caffe2/caffe2-1.12.0.ebuild +++ /dev/null @@ -1,163 +0,0 @@ -# Copyright 2022 Gentoo Authors -# Distributed under the terms of the GNU General Public License v2 - -EAPI=8 - -PYTHON_COMPAT=( python3_{8..10} ) -inherit python-r1 cmake 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 ffmpeg nnpack +numpy opencl opencv openmp qnnpack xnnpack" -RESTRICT="test" -REQUIRED_USE=" - ${PYTHON_REQUIRED_USE} - ffmpeg? ( opencv ) -" # ?? ( cuda rocm ) - -RDEPEND=" - ${PYTHON_DEPS} - dev-cpp/gflags:= - >=dev-cpp/glog-0.5.0 - dev-libs/cpuinfo - dev-libs/libfmt - dev-libs/protobuf:= - dev-libs/pthreadpool - dev-libs/sleef - sci-libs/lapack - sci-libs/onnx - sci-libs/foxi - cuda? ( - =dev-libs/cudnn-8* - dev-libs/cudnn-frontend:0/8 - dev-util/nvidia-cuda-toolkit:=[profiler] - ) - ffmpeg? ( media-video/ffmpeg:= ) - nnpack? ( sci-libs/NNPACK ) - numpy? ( dev-python/numpy[${PYTHON_USEDEP}] ) - opencl? ( virtual/opencl ) - opencv? ( media-libs/opencv:= ) - qnnpack? ( sci-libs/QNNPACK ) - xnnpack? ( sci-libs/XNNPACK ) -" -DEPEND=" - ${RDEPEND} - dev-cpp/eigen - dev-libs/psimd - dev-libs/FP16 - dev-libs/FXdiv - dev-libs/pocketfft - dev-libs/flatbuffers - dev-python/pyyaml[${PYTHON_USEDEP}] - dev-python/pybind11[${PYTHON_USEDEP}] -" - -S="${WORKDIR}"/${MYP} - -PATCHES=( - "${FILESDIR}"/${PN}-1.11.0-gentoo.patch - "${FILESDIR}"/${PN}-1.12.0-install-dirs.patch - "${FILESDIR}"/${P}-glog-0.6.0.patch -) - -src_prepare() { - filter-lto #bug 862672 - 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 ${TORCH_CUDA_ARCH_LIST} ]]; then - ewarn "WARNING: caffe2 is being built with its default CUDA compute capabilities: 3.5 and 7.0." - ewarn "These may not be optimal for your GPU." - ewarn "" - ewarn "To configure caffe2 with the CUDA compute capability that is optimal for your GPU," - ewarn "set TORCH_CUDA_ARCH_LIST in your make.conf, and re-emerge caffe2." - ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TORCH_CUDA_ARCH_LIST=7.5,3.5" - ewarn "For a Maxwell model GPU, an example value would be: TORCH_CUDA_ARCH_LIST=Maxwell" - ewarn "" - ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus" - ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'" - fi - - python_setup - local mycmakeargs=( - -DBUILD_CUSTOM_PROTOBUF=OFF - -DBUILD_SHARED_LIBS=ON - - -DUSE_CCACHE=OFF - -DUSE_CUDA=$(usex cuda) - -DUSE_CUDNN=$(usex cuda) - -DUSE_FAST_NVCC=$(usex cuda) - -DTORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-3.5 7.0}" - -DUSE_DISTRIBUTED=OFF - -DUSE_FAKELOWP=OFF - -DUSE_FBGEMM=OFF # TODO - -DUSE_FFMPEG=$(usex ffmpeg) - -DUSE_GFLAGS=ON - -DUSE_GLOG=ON - -DUSE_GLOO=OFF - -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_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_BIND11=ON - -DPYBIND11_PYTHON_VERSION="${EPYTHON#python}" - -DPYTHON_EXECUTABLE="${PYTHON}" - -DUSE_SYSTEM_EIGEN_INSTALL=ON - -DUSE_SYSTEM_PTHREADPOOL=ON - -DUSE_SYSTEM_FXDIV=ON - -DUSE_SYSTEM_FP16=ON - -DUSE_SYSTEM_ONNX=ON - -DUSE_SYSTEM_SLEEF=ON - -DUSE_TENSORPIPE=OFF - - -Wno-dev - -DTORCH_INSTALL_LIB_DIR="${EPREFIX}"/usr/$(get_libdir) - -DLIBSHM_INSTALL_LIB_SUBDIR="${EPREFIX}"/usr/$(get_libdir) - ) - - use cuda && addpredict "/dev/nvidiactl" # bug 867706 - cmake_src_configure -} - -python_install() { - python_domodule python/caffe2 - python_domodule python/torch -} - -src_install() { - cmake_src_install - - insinto "/var/lib/${PN}" - doins "${BUILD_DIR}"/CMakeCache.txt - - rm -rf python - mkdir -p python/torch || die - mv "${ED}"/usr/lib/python*/site-packages/caffe2 python/ || die - cp torch/version.py python/torch/ || die - python_foreach_impl python_install -} |