commit: 564efa91f7fbb739529a10bebe6d17be740cb4d5
Author: Alfredo Tupone <tupone <AT> gentoo <DOT> org>
AuthorDate: Fri Dec 1 05:54:22 2023 +0000
Commit: Alfredo Tupone <tupone <AT> gentoo <DOT> org>
CommitDate: Fri Dec 1 05:54:22 2023 +0000
URL: https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=564efa91
sci-libs/caffe2: drop 2.0.1-r4
Signed-off-by: Alfredo Tupone <tupone <AT> gentoo.org>
sci-libs/caffe2/caffe2-2.0.1-r4.ebuild | 212 ---------------------------------
1 file changed, 212 deletions(-)
diff --git a/sci-libs/caffe2/caffe2-2.0.1-r4.ebuild
b/sci-libs/caffe2/caffe2-2.0.1-r4.ebuild
deleted file mode 100644
index 67ab76e8ed76..000000000000
--- a/sci-libs/caffe2/caffe2-2.0.1-r4.ebuild
+++ /dev/null
@@ -1,212 +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 prefix
-
-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? ( virtual/mpi )
- 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[cuda?] )
- 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
- # prefixify the hardcoded paths, after all patches are applied
- hprefixify \
- aten/CMakeLists.txt \
- caffe2/CMakeLists.txt \
- cmake/Metal.cmake \
- cmake/Modules/*.cmake \
- cmake/Modules_CUDA_fix/FindCUDNN.cmake \
- cmake/Modules_CUDA_fix/upstream/FindCUDA/make2cmake.cmake \
-
cmake/Modules_CUDA_fix/upstream/FindPackageHandleStandardArgs.cmake \
- cmake/public/LoadHIP.cmake \
- cmake/public/cuda.cmake \
- cmake/Dependencies.cmake \
- torch/CMakeLists.txt \
- CMakeLists.txt
-}
-
-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="${TORCH_CUDA_ARCH_LIST:-3.5 7.0}"
- -DBUILD_NVFUSER=$(usex cuda)
- -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="$(cuda_gccdir -f | tr -d \")"
- )
- fi
- cmake_src_configure
-}
-
-src_install() {
- cmake_src_install
-
- use cuda && dolib.so "${BUILD_DIR}"/lib/libnvfuser_codegen.so
-
- 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
-}
