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commit: 3625a2f15847ca2daefbbb7c267840701886507b |
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Author: Alfredo Tupone <tupone <AT> gentoo <DOT> org> |
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AuthorDate: Wed Nov 30 18:19:55 2022 +0000 |
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Commit: Alfredo Tupone <tupone <AT> gentoo <DOT> org> |
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CommitDate: Wed Nov 30 18:19:55 2022 +0000 |
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URL: https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=3625a2f1 |
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|
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sci-libs/caffe2: drop 1.11.0-r2 |
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|
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Signed-off-by: Alfredo Tupone <tupone <AT> gentoo.org> |
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|
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sci-libs/caffe2/Manifest | 1 - |
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sci-libs/caffe2/caffe2-1.11.0-r2.ebuild | 160 -------------------------------- |
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2 files changed, 161 deletions(-) |
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|
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diff --git a/sci-libs/caffe2/Manifest b/sci-libs/caffe2/Manifest |
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index 0d28654e641f..013309cd70ce 100644 |
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--- a/sci-libs/caffe2/Manifest |
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+++ b/sci-libs/caffe2/Manifest |
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@@ -1,2 +1 @@ |
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-DIST pytorch-1.11.0.tar.gz 20719323 BLAKE2B 24e7aaa2c26821d36f8092542de9d8d5ac85a619fb9fffb5131987958842afb1cad395780662d15f3411a7cc6ff83a445871960eca1e469fcbf0b9895d83d6e0 SHA512 2342eb7a1a241f5855a7cf12e11f62bc4baaa78d1d0864e53bfc946e783eb4addd05ca154a814d2376cd602098b5547e61c158d6eddb7cad5a9f3b0c1357adca |
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DIST pytorch-1.12.0.tar.gz 106286765 BLAKE2B ff9bafedb35f859f7dccb9b606299cf9c345bdaa0deb87ecfe0c0c30c3c828414d989e1d9a243d9b7cd3f376d56a2f81c241ca2e3c9a8a2b30cddcdeddd3a5c7 SHA512 c9c748a2e0047daaaf199a1ba3198d2d1aee47f664170a9b34ccacd3deeb95f2070e4035eeb900012ef48dc62cf6fb6806f1a1dfe22de8c94892963076e593b7 |
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|
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diff --git a/sci-libs/caffe2/caffe2-1.11.0-r2.ebuild b/sci-libs/caffe2/caffe2-1.11.0-r2.ebuild |
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deleted file mode 100644 |
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index d5d2250da0f5..000000000000 |
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--- a/sci-libs/caffe2/caffe2-1.11.0-r2.ebuild |
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+++ /dev/null |
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@@ -1,160 +0,0 @@ |
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-# Copyright 2022 Gentoo Authors |
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-# Distributed under the terms of the GNU General Public License v2 |
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- |
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-EAPI=8 |
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- |
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-PYTHON_COMPAT=( python3_{8..10} ) |
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-inherit python-r1 cmake |
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- |
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-MYPN=pytorch |
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-MYP=${MYPN}-${PV} |
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- |
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-DESCRIPTION="A deep learning framework" |
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-HOMEPAGE="https://pytorch.org/" |
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-SRC_URI="https://github.com/pytorch/${MYPN}/archive/refs/tags/v${PV}.tar.gz |
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- -> ${MYP}.tar.gz" |
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- |
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-LICENSE="BSD" |
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-SLOT="0" |
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-KEYWORDS="~amd64" |
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-IUSE="cuda ffmpeg nnpack +numpy opencl opencv openmp qnnpack xnnpack" |
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-RESTRICT="test" |
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-REQUIRED_USE=" |
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- ${PYTHON_REQUIRED_USE} |
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- ffmpeg? ( opencv ) |
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-" # ?? ( cuda rocm ) |
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- |
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-RDEPEND=" |
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- ${PYTHON_DEPS} |
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- dev-cpp/gflags:= |
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- <dev-cpp/glog-0.5.0 |
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- dev-libs/cpuinfo |
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- dev-libs/libfmt |
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- dev-libs/protobuf |
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- dev-libs/pthreadpool |
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- dev-libs/sleef |
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- sci-libs/lapack |
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- sci-libs/onnx |
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- sci-libs/foxi |
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- cuda? ( |
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- =dev-libs/cudnn-8* |
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- dev-libs/cudnn-frontend:0/8 |
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- dev-util/nvidia-cuda-toolkit:=[profiler] |
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- ) |
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- ffmpeg? ( media-video/ffmpeg:= ) |
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- nnpack? ( sci-libs/NNPACK ) |
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- numpy? ( dev-python/numpy[${PYTHON_USEDEP}] ) |
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- opencl? ( virtual/opencl ) |
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- opencv? ( media-libs/opencv:= ) |
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- qnnpack? ( sci-libs/QNNPACK ) |
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- xnnpack? ( sci-libs/XNNPACK ) |
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-" |
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-DEPEND=" |
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- ${RDEPEND} |
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- dev-cpp/eigen |
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- dev-libs/psimd |
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- dev-libs/FP16 |
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- dev-libs/FXdiv |
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- dev-libs/pocketfft |
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- dev-libs/flatbuffers |
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- dev-python/pyyaml[${PYTHON_USEDEP}] |
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- dev-python/pybind11[${PYTHON_USEDEP}] |
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-" |
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- |
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-S="${WORKDIR}"/${MYP} |
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- |
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-PATCHES=( |
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- "${FILESDIR}"/${PN}-1.11.0-gentoo.patch |
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- "${FILESDIR}"/${PN}-1.12.0-install-dirs.patch |
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-) |
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- |
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-src_prepare() { |
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- cmake_src_prepare |
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- pushd torch/csrc/jit/serialization || die |
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- flatc --cpp --gen-mutable --scoped-enums mobile_bytecode.fbs || die |
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- popd |
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-} |
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- |
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-src_configure() { |
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- if use cuda && [[ -z ${TORCH_CUDA_ARCH_LIST} ]]; then |
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- ewarn "WARNING: caffe2 is being built with its default CUDA compute capabilities: 3.5 and 7.0." |
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- ewarn "These may not be optimal for your GPU." |
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- ewarn "" |
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- ewarn "To configure caffe2 with the CUDA compute capability that is optimal for your GPU," |
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- ewarn "set TORCH_CUDA_ARCH_LIST in your make.conf, and re-emerge caffe2." |
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- ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TORCH_CUDA_ARCH_LIST=7.5,3.5" |
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- ewarn "For a Maxwell model GPU, an example value would be: TORCH_CUDA_ARCH_LIST=Maxwell" |
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- ewarn "" |
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- ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus" |
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- ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'" |
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- fi |
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- |
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- python_setup |
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- local mycmakeargs=( |
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- -DBUILD_CUSTOM_PROTOBUF=OFF |
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- -DBUILD_SHARED_LIBS=ON |
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- |
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- -DUSE_CCACHE=OFF |
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- -DUSE_CUDA=$(usex cuda) |
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- -DUSE_CUDNN=$(usex cuda) |
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- -DUSE_FAST_NVCC=$(usex cuda) |
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- -DTORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-3.5 7.0}" |
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- -DUSE_DISTRIBUTED=OFF |
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- -DUSE_FAKELOWP=OFF |
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- -DUSE_FBGEMM=OFF # TODO |
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- -DUSE_FFMPEG=$(usex ffmpeg) |
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- -DUSE_GFLAGS=ON |
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- -DUSE_GLOG=ON |
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- -DUSE_GLOO=OFF |
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- -DUSE_KINETO=OFF # TODO |
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- -DUSE_LEVELDB=OFF |
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- -DUSE_MAGMA=OFF # TODO: In GURU as sci-libs/magma |
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- -DUSE_MKLDNN=OFF |
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- -DUSE_NCCL=OFF # TODO: NVIDIA Collective Communication Library |
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- -DUSE_NNPACK=$(usex nnpack) |
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- -DUSE_QNNPACK=$(usex qnnpack) |
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- -DUSE_XNNPACK=$(usex xnnpack) |
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- -DUSE_SYSTEM_XNNPACK=$(usex xnnpack) |
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- -DUSE_PYTORCH_QNNPACK=OFF |
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- -DUSE_NUMPY=$(usex numpy) |
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- -DUSE_OPENCL=$(usex opencl) |
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- -DUSE_OPENCV=$(usex opencv) |
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- -DUSE_OPENMP=$(usex openmp) |
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- -DUSE_ROCM=OFF # TODO |
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- -DUSE_SYSTEM_CPUINFO=ON |
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- -DUSE_BREAKPAD=OFF # TODO |
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- -DUSE_SYSTEM_BIND11=ON |
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- -DPYBIND11_PYTHON_VERSION="${EPYTHON#python}" |
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- -DPYTHON_EXECUTABLE="${PYTHON}" |
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- -DUSE_SYSTEM_EIGEN_INSTALL=ON |
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- -DUSE_SYSTEM_PTHREADPOOL=ON |
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- -DUSE_SYSTEM_FXDIV=ON |
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- -DUSE_SYSTEM_FP16=ON |
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- -DUSE_SYSTEM_ONNX=ON |
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- -DUSE_SYSTEM_SLEEF=ON |
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- -DUSE_TENSORPIPE=OFF |
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- |
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- -Wno-dev |
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- -DTORCH_INSTALL_LIB_DIR="${EPREFIX}"/usr/$(get_libdir) |
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- -DLIBSHM_INSTALL_LIB_SUBDIR="${EPREFIX}"/usr/$(get_libdir) |
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- ) |
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- cmake_src_configure |
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-} |
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- |
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-python_install() { |
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- python_domodule python/caffe2 |
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- python_domodule python/torch |
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-} |
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- |
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-src_install() { |
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- cmake_src_install |
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- |
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- insinto "/var/lib/${PN}" |
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- doins "${BUILD_DIR}"/CMakeCache.txt |
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- |
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- rm -rf python |
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- mkdir -p python/torch || die |
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- mv "${ED}"/usr/lib/python*/site-packages/caffe2 python/ || die |
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- cp torch/version.py python/torch/ || die |
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- python_foreach_impl python_install |
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-} |