commit: 9bf81971012ea4d397d135669e9e17e7db9aa33c
Author: Alfredo Tupone <tupone <AT> gentoo <DOT> org>
AuthorDate: Thu Apr 4 09:22:11 2024 +0000
Commit: Alfredo Tupone <tupone <AT> gentoo <DOT> org>
CommitDate: Thu Apr 4 09:22:51 2024 +0000
URL: https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=9bf81971
sci-libs/caffe2: drop 2.2.1-r1
Signed-off-by: Alfredo Tupone <tupone <AT> gentoo.org>
sci-libs/caffe2/Manifest | 1 -
sci-libs/caffe2/caffe2-2.2.1-r1.ebuild | 269 ---------------------------------
2 files changed, 270 deletions(-)
diff --git a/sci-libs/caffe2/Manifest b/sci-libs/caffe2/Manifest
index e51168eba07c..b72973ca6f63 100644
--- a/sci-libs/caffe2/Manifest
+++ b/sci-libs/caffe2/Manifest
@@ -1,3 +1,2 @@
DIST pytorch-2.1.2.tar.gz 116316469 BLAKE2B
c5a55ee264bc3477d3556ba6376b5591117e992e56e0dd0c9ba93d12526e2727f7840f6f1e0730a38223b6492c9556840c4ebf22ffd220e97225c2abff303747
SHA512
a8961d78ad785b13c959a0612563a60e0de17a7c8bb9822ddea9a24072796354d07e81c47b6cc8761b21a6448845b088cf80e1661d9e889b0ed5474d3dc76756
-DIST pytorch-2.2.1.tar.gz 116370903 BLAKE2B
7d08e80f91bad76fba1751c30a34bebfe7145058b7758c0d47112702263a80666f70687a8860744725c6aa995e854f766a5bfa4644c23e5635e7e08c8d63a6e9
SHA512
f19ebcf59d183c3348946ba7cfcab2bc4ca93785863b8edc39dba5772083a7b0425ccb4f92a8df4dc0d18246c75e8ff812993161467fbf9dc48d7fb28a1e26f1
DIST pytorch-2.2.2.tar.gz 116367503 BLAKE2B
0be22f2ec4b9aac6f5e976664cae01facf07929a32565cd57d7cc5b2d9888e9ae71ca301853752fe8f31d174d04c9974eb9ed2f3d452360a50ccf024f200726a
SHA512
7990e0f9484038c3458c0bda2c863bf2b19e56edab81fc5938c6e0f08b17558287f853bb67350e8cca8f42bec0f1d4ba0e94e50a145db8da44bdd4bd703d91d0
diff --git a/sci-libs/caffe2/caffe2-2.2.1-r1.ebuild
b/sci-libs/caffe2/caffe2-2.2.1-r1.ebuild
deleted file mode 100644
index 4788dca7bf6a..000000000000
--- a/sci-libs/caffe2/caffe2-2.2.1-r1.ebuild
+++ /dev/null
@@ -1,269 +0,0 @@
-# Copyright 2022-2024 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=8
-
-PYTHON_COMPAT=( python3_{10..12} )
-ROCM_VERSION=5.7
-inherit python-single-r1 cmake cuda flag-o-matic prefix rocm
-
-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 mkl mpi nnpack +numpy onednn
openblas opencl opencv openmp qnnpack rocm xnnpack"
-RESTRICT="test"
-REQUIRED_USE="
- ${PYTHON_REQUIRED_USE}
- ffmpeg? ( opencv )
- mpi? ( distributed )
- gloo? ( distributed )
- ?? ( cuda rocm )
- rocm? ( || ( ${ROCM_REQUIRED_USE} ) )
-"
-
-# 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
- virtual/lapack
- >=sci-libs/onnx-1.12.0
- <sci-libs/onnx-1.15.0
- sci-libs/foxi
- cuda? (
- =dev-libs/cudnn-8*
- >=dev-libs/cudnn-frontend-0.9.2:0/8
- dev-util/nvidia-cuda-toolkit:=[profiler]
- )
- fbgemm? ( >=dev-libs/FBGEMM-2023.12.01 )
- 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}]
- ') )
- onednn? ( dev-libs/oneDNN )
- opencl? ( virtual/opencl )
- opencv? ( media-libs/opencv:= )
- qnnpack? ( sci-libs/QNNPACK )
- rocm? (
- >=dev-util/hip-5.7
- >=dev-libs/rccl-5.7[${ROCM_USEDEP}]
- >=sci-libs/rocThrust-5.7[${ROCM_USEDEP}]
- >=sci-libs/rocPRIM-5.7[${ROCM_USEDEP}]
- >=sci-libs/hipBLAS-5.7[${ROCM_USEDEP}]
- >=sci-libs/hipFFT-5.7[${ROCM_USEDEP}]
- >=sci-libs/hipSPARSE-5.7[${ROCM_USEDEP}]
- >=sci-libs/hipRAND-5.7[${ROCM_USEDEP}]
- >=sci-libs/hipCUB-5.7[${ROCM_USEDEP}]
- >=sci-libs/hipSOLVER-5.7[${ROCM_USEDEP}]
- >=sci-libs/miopen-5.7[${ROCM_USEDEP}]
- >=dev-util/roctracer-5.7[${ROCM_USEDEP}]
- )
- distributed? ( sci-libs/tensorpipe[cuda?] )
- xnnpack? ( >=sci-libs/XNNPACK-2022.12.22 )
- mkl? ( sci-libs/mkl )
- openblas? ( sci-libs/openblas )
-"
-DEPEND="
- ${RDEPEND}
- cuda? ( >=dev-libs/cutlass-3.1.0 )
- onednn? ( sci-libs/ideep )
- dev-libs/psimd
- dev-libs/FP16
- dev-libs/FXdiv
- dev-libs/pocketfft
- dev-libs/flatbuffers
- >=sci-libs/kineto-0.4.0_p20231031
- $(python_gen_cond_dep '
- dev-python/pyyaml[${PYTHON_USEDEP}]
- dev-python/pybind11[${PYTHON_USEDEP}]
- ')
-"
-
-S="${WORKDIR}"/${MYP}
-
-PATCHES=(
- "${FILESDIR}"/${P}-gentoo.patch
- "${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}"/${PN}-2.0.0-cudnn_include_fix.patch
- "${FILESDIR}"/${PN}-2.1.2-fix-rpath.patch
- "${FILESDIR}"/${PN}-2.1.2-fix-openmp-link.patch
- "${FILESDIR}"/${PN}-2.1.2-rocm-fix-std-cpp17.patch
-)
-
-src_prepare() {
- filter-lto #bug 862672
- sed -i \
- -e "/third_party\/gloo/d" \
- cmake/Dependencies.cmake \
- || die
- cmake_src_prepare
- pushd torch/csrc/jit/serialization || die
- flatc --cpp --gen-mutable --scoped-enums mobile_bytecode.fbs || die
- popd
- # prefixify the hardcoded paths, after all patches are applied
- hprefixify \
- aten/CMakeLists.txt \
- caffe2/CMakeLists.txt \
- cmake/Metal.cmake \
- cmake/Modules/*.cmake \
- cmake/Modules_CUDA_fix/FindCUDNN.cmake \
- cmake/Modules_CUDA_fix/upstream/FindCUDA/make2cmake.cmake \
-
cmake/Modules_CUDA_fix/upstream/FindPackageHandleStandardArgs.cmake \
- cmake/public/LoadHIP.cmake \
- cmake/public/cuda.cmake \
- cmake/Dependencies.cmake \
- torch/CMakeLists.txt \
- CMakeLists.txt
-
- if use rocm; then
- sed -e "s:/opt/rocm:/usr:" \
- -e "s:lib/cmake:$(get_libdir)/cmake:g" \
- -e "s/HIP 1.0/HIP 1.0 REQUIRED/" \
- -i cmake/public/LoadHIP.cmake || die
-
- ebegin "HIPifying cuda sources"
- ${EPYTHON} tools/amd_build/build_amd.py || die
- eend $?
- fi
-}
-
-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_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=$(usex gloo)
- -DUSE_KINETO=OFF # TODO
- -DUSE_LEVELDB=OFF
- -DUSE_MAGMA=OFF # TODO: In GURU as sci-libs/magma
- -DUSE_MKLDNN=$(usex onednn)
- -DUSE_NNPACK=$(usex nnpack)
- -DUSE_QNNPACK=$(usex qnnpack)
- -DUSE_XNNPACK=$(usex xnnpack)
- -DUSE_SYSTEM_XNNPACK=$(usex xnnpack)
- -DUSE_TENSORPIPE=$(usex distributed)
- -DUSE_PYTORCH_QNNPACK=OFF
- -DUSE_NUMPY=$(usex numpy)
- -DUSE_OPENCL=$(usex opencl)
- -DUSE_OPENCV=$(usex opencv)
- -DUSE_OPENMP=$(usex openmp)
- -DUSE_ROCM=$(usex rocm)
- -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
- -DUSE_SYSTEM_PTHREADPOOL=ON
- -DUSE_SYSTEM_FXDIV=ON
- -DUSE_SYSTEM_FP16=ON
- -DUSE_SYSTEM_GLOO=ON
- -DUSE_SYSTEM_ONNX=ON
- -DUSE_SYSTEM_SLEEF=ON
- -DUSE_METAL=OFF
-
- -Wno-dev
- -DTORCH_INSTALL_LIB_DIR="${EPREFIX}"/usr/$(get_libdir)
- -DLIBSHM_INSTALL_LIB_SUBDIR="${EPREFIX}"/usr/$(get_libdir)
- )
-
- if use mkl; then
- mycmakeargs+=(-DBLAS=MKL)
- elif use openblas; then
- mycmakeargs+=(-DBLAS=OpenBLAS)
- else
- mycmakeargs+=(-DBLAS=Generic -DBLAS_LIBRARIES=)
- fi
-
- if use cuda; then
- addpredict "/dev/nvidiactl" # bug 867706
- addpredict "/dev/char"
- addpredict "/proc/self/task" # bug 926116
-
- mycmakeargs+=(
- -DUSE_CUDNN=ON
- -DTORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-3.5
7.0}"
- -DUSE_NCCL=OFF # TODO: NVIDIA Collective Communication
Library
- -DCMAKE_CUDA_FLAGS="$(cuda_gccdir -f | tr -d \")"
- )
- elif use rocm; then
- export PYTORCH_ROCM_ARCH="$(get_amdgpu_flags)"
-
- mycmakeargs+=(
- -DUSE_NCCL=ON
- -DUSE_SYSTEM_NCCL=ON
- )
- fi
-
- if use onednn; then
- mycmakeargs+=(
- -DUSE_MKLDNN=ON
- -DMKLDNN_FOUND=ON
- -DMKLDNN_LIBRARIES=dnnl
-
-DMKLDNN_INCLUDE_DIR="${ESYSROOT}/usr/include/oneapi/dnnl"
- )
- fi
-
- cmake_src_configure
-
- # do not rerun cmake and the build process in src_install
- sed '/RERUN/,+1d' -i "${BUILD_DIR}"/build.ninja || die
-}
-
-src_install() {
- cmake_src_install
-
- insinto "/var/lib/${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
- cp torch/version.py python/torch/ || die
- python_domodule python/caffe2
- python_domodule python/torch
- ln -s ../../../../../include/torch \
- "${D}$(python_get_sitedir)"/torch/include/torch || die # bug
923269
-}
