sci-libs/caffe2: add 1.13.1

Signed-off-by: Alfredo Tupone <tupone@gentoo.org>

2 files changed, 170 insertions, 0 deletions

diff --git a/sci-libs/caffe2/Manifest b/sci-libs/caffe2/Manifest
index fba79e4a9a24..7a1c9e4370ae 100644
--- a/sci-libs/caffe2/Manifest
+++ b/sci-libs/caffe2/Manifest
@@ -1,3 +1,4 @@
 DIST pytorch-1.12.0.tar.gz 106286765 BLAKE2B ff9bafedb35f859f7dccb9b606299cf9c345bdaa0deb87ecfe0c0c30c3c828414d989e1d9a243d9b7cd3f376d56a2f81c241ca2e3c9a8a2b30cddcdeddd3a5c7 SHA512 c9c748a2e0047daaaf199a1ba3198d2d1aee47f664170a9b34ccacd3deeb95f2070e4035eeb900012ef48dc62cf6fb6806f1a1dfe22de8c94892963076e593b7
 DIST pytorch-1.12.1.tar.gz 106311625 BLAKE2B e8ca19d0e1987449c33ad4c36722a3a467f7f8a9f90be2a7f2de643cbd665038f6802b5ff1f1d3da09b6253d8f29e11549a24295de013d97f73affe538c84c99 SHA512 afeb551904ebd9b5901ae623a98eadbb3045115247cedf8006a940742cfad04e5ce24cfaf363336a9ed88d7ce6a4ac53dbb6a5c690aef6efdf20477c3a22c7ca
 DIST pytorch-1.13.0.tar.gz 108276317 BLAKE2B 8149775dea06d8e4027b741c828169d33f768a96aef58cd2f86daa3bbad5bf36143454e26b683a992aca34e7fb52e6483c46168b698db48ff6978c9605d7a3d2 SHA512 5a0e8c589bdf552ccf682511a8860c754ab6f5844f51e568c5034793f787b97707af4340b338b9b8606dd27a6ced6ef50091f0cc514458b3021a2220409d7f20
+DIST pytorch-1.13.1.tar.gz 108279745 BLAKE2B 75de03b74dfdaf8d8fb5ea743fcc0c1b0e408a714ad4160c487921220a7b1755e5fa6e587e6bbc8c9f34dd75e096d2e6dd69c80d24821835fff6c833314434d3 SHA512 f16f89d027efade11d057245cad5b69a390e88b458398310ae30de2dbff7c8fd7f1165be7b8da7ea989c81ac3f5a66c5cb9050610e441a97c83fb8aa28c0bd62
diff --git a/sci-libs/caffe2/caffe2-1.13.1.ebuild b/sci-libs/caffe2/caffe2-1.13.1.ebuild
new file mode 100644
index 000000000000..caf62fd84b8f
--- /dev/null
+++ b/sci-libs/caffe2/caffe2-1.13.1.ebuild
@@ -0,0 +1,169 @@
+# Copyright 2022-2023 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=8
+
+PYTHON_COMPAT=( python3_{9..10} )
+inherit python-single-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-1.12.0
+	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? ( $(python_gen_cond_dep '
+		dev-python/numpy[${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
+	sci-libs/kineto
+	$(python_gen_cond_dep '
+		dev-python/pyyaml[${PYTHON_USEDEP}]
+		dev-python/pybind11[${PYTHON_USEDEP}]
+	')
+"
+
+S="${WORKDIR}"/${MYP}
+
+PATCHES=(
+	"${FILESDIR}"/${PN}-1.13.0-gentoo.patch
+	"${FILESDIR}"/${PN}-1.13.0-install-dirs.patch
+	"${FILESDIR}"/${PN}-1.12.0-glog-0.6.0.patch
+	"${FILESDIR}"/${PN}-1.12.0-clang.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 ${TORCH_CUDA_ARCH_LIST} ]]; then
+		ewarn "WARNING: caffe2 is being built with its default CUDA compute capabilities: 3.5 and 7.0."
+		ewarn "These may not be optimal for your GPU."
+		ewarn ""
+		ewarn "To configure caffe2 with the CUDA compute capability that is optimal for your GPU,"
+		ewarn "set TORCH_CUDA_ARCH_LIST in your make.conf, and re-emerge caffe2."
+		ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TORCH_CUDA_ARCH_LIST=7.5,3.5"
+		ewarn "For a Maxwell model GPU, an example value would be: TORCH_CUDA_ARCH_LIST=Maxwell"
+		ewarn ""
+		ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus"
+		ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'"
+	fi
+
+	local mycmakeargs=(
+		-DBUILD_CUSTOM_PROTOBUF=OFF
+		-DBUILD_SHARED_LIBS=ON
+
+		-DUSE_CCACHE=OFF
+		-DUSE_CUDA=$(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_PYBIND11=ON
+		-DUSE_VALGRIND=OFF
+		-DPYBIND11_PYTHON_VERSION="${EPYTHON#python}"
+		-DPYTHON_EXECUTABLE="${PYTHON}"
+		-DUSE_ITT=OFF
+		-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
+		-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
+}
+
+src_install() {
+	cmake_src_install
+
+	insinto "/var/lib/${PN}"
+	doins "${BUILD_DIR}"/CMakeCache.txt
+
+	rm -rf python
+	mkdir -p python/torch/include || die
+	mv "${ED}"/usr/lib/python*/site-packages/caffe2 python/ || die
+	mv "${ED}"/usr/include/torch python/torch/include || die
+	cp torch/version.py python/torch/ || die
+	rm -r "${ED}"/var/tmp || die
+	python_domodule python/caffe2
+	python_domodule python/torch
+}