[gentoo-commits] repo/gentoo:master commit in: sci-libs/caffe2/

["Alfredo Tupone" <tupone@gentoo.org>]

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
-}