From e863cb8850b3734386669ced72ba782bf20bde7a Mon Sep 17 00:00:00 2001
From: V3n3RiX <venerix@koprulu.sector>
Date: Sat, 6 May 2023 23:35:15 +0100
Subject: gentoo auto-resync : 06:05:2023 - 23:35:15

---
 sci-libs/caffe2/Manifest                         |  10 +-
 sci-libs/caffe2/caffe2-1.13.1-r4.ebuild          | 186 ---------------------
 sci-libs/caffe2/caffe2-1.13.1-r5.ebuild          | 193 ++++++++++++++++++++++
 sci-libs/caffe2/caffe2-2.0.0-r2.ebuild           | 189 ----------------------
 sci-libs/caffe2/caffe2-2.0.0-r3.ebuild           | 195 +++++++++++++++++++++++
 sci-libs/caffe2/files/caffe2-1.13.0-gentoo.patch |  61 ++++---
 sci-libs/caffe2/files/caffe2-2.0.0-gentoo.patch  |  61 ++++---
 sci-libs/caffe2/metadata.xml                     |   1 +
 8 files changed, 470 insertions(+), 426 deletions(-)
 delete mode 100644 sci-libs/caffe2/caffe2-1.13.1-r4.ebuild
 create mode 100644 sci-libs/caffe2/caffe2-1.13.1-r5.ebuild
 delete mode 100644 sci-libs/caffe2/caffe2-2.0.0-r2.ebuild
 create mode 100644 sci-libs/caffe2/caffe2-2.0.0-r3.ebuild

(limited to 'sci-libs/caffe2')

diff --git a/sci-libs/caffe2/Manifest b/sci-libs/caffe2/Manifest
index f720b7d16bc1..233586705e75 100644
--- a/sci-libs/caffe2/Manifest
+++ b/sci-libs/caffe2/Manifest
@@ -1,13 +1,13 @@
 AUX caffe2-1.12.0-clang.patch 1727 BLAKE2B 04f3b63dde1da4670e762fb5c9127edd88c0b3ca518eacdfd5a951c23d4175451326321749ac94c982494def69aa23829f95ae546d16c196458b7a6d094c76ed SHA512 7b92545fe68b5cdc4a0336b9ff2d9604f20d1ecb0e67f349b65790e12d6cd361265a1b25a6e922148ec1b5977ea527cc3c32a2c1614597e098f88a86c52cbecd
 AUX caffe2-1.12.0-glog-0.6.0.patch 959 BLAKE2B eb0c18a34a2c5a1b68a420b9001eac5c8ff65ef9ca9ea1e5ad93ecef3cbaa595808105bbf6c8d3dcb9047559d23bc0398cda5922fb41e29a7588644c90c90fd8 SHA512 5873f11930ae5947c7dfbb19d0377d5535e395fcc1ab213e3c65c77b2e3bd911efc11cde2ca3e7134e9e7798ca7a483910113f331c0a23b73a5546aaaded40c5
-AUX caffe2-1.13.0-gentoo.patch 8000 BLAKE2B a11a6bccac970ce8658041db20f90814183a8eef45571565512bafa9f172348f08ccdb67f5e543c8f9e236a6283f2d50a608cfc671e18886319a82dc84cd95e5 SHA512 20a43490cb80174fc688f7a773ac332362a5a013885a7cfdfdfe89996bc3e2483ad4b29149d71730213174d27d8534707813e825bdf4ea3e3bc7b664bad39953
+AUX caffe2-1.13.0-gentoo.patch 8399 BLAKE2B 6664f20013743801eb9cc899e8e451995f2d77fab837923ae9fe959ab1b323bf3c2785ff622cc0bf332ce09126617e3e7a166d8d528ee48e13a15f018f3b4874 SHA512 6b09d74c4962126ac06cc53a2eccecf692810127ddf824a7692981ea675e8c3c65a259ca7a627797b8d6b6106b9ee69789537b8b9bc56419d75aebddba81b8d2
 AUX caffe2-1.13.0-install-dirs.patch 5737 BLAKE2B 10b10e3a29976344c7596e1c4e7a604856c66d91cb7518308422f7ffac82ffe183dc81becab27866814c06e321e97458ab6a6908aa01379299c7fdf8fdccf153 SHA512 1e2e4f646cec24b5373872865522a909d1c154623e232c06e3da361e4d29b8d7520c446f53fbf42aab5f00bab05d1f278ce9425e506a9a5ac73cbb10570bd325
 AUX caffe2-1.13.1-tensorpipe.patch 374 BLAKE2B 46d45aae88f99c213f0da039bad5aa0c470a6c505ed1d28088ecb8dd445547e52a6d2c087c52c15b20da31808cd9213c1e672880e9bf4afe9c487358b4d4cd9d SHA512 d7315408b3ad4630715c18fff853b07e589ae78f5fcc8eef7f8791202fca459a3b23481856a50a5d432aec26482eb33adf37ba0a37d45f719ceb29081449345d
 AUX caffe2-2.0.0-cudnn_include_fix.patch 526 BLAKE2B 63959783a94bfa2b02f78e36e754ef6c54d9f3dfb0bfdedd0fb9ef6553204b54b2dfb1676312689bbc3eace897d5f0441faf9af376f27c3c831c3ffcece31e5d SHA512 ff2ba61a4c69620bb1078aa7235b015a6165bc0df65e5e4ec04d4f3515f80dc865cc904d279fefbc90784b571f41d82441ce8045a27947ae7d3d52505e813b3c
 AUX caffe2-2.0.0-gcc13.patch 1203 BLAKE2B df55608c6019802da32809cb210b60cf0debf38e8d7a20135e92465be28d3537f2d0b52c67a61b264e241539b64fa02aa99eefb856686a9f9e3c45291b8d6a70 SHA512 59e933c60abef3ac97a1e3b2cd7a9935f9fdde4bc3ed1c2c53c729af6d7ed735ffd38cbdac08d32c668cd2751f3f871cc833883efd19732c04a0f67fbb49c41d
-AUX caffe2-2.0.0-gentoo.patch 6682 BLAKE2B 67657b1ca48ded05a6b07ce18df89c4b8759004cbe8b9a74e53ff1c11c2b7edc55f4282d08bc1531cc2fd1a5c330db4bd1ab2ca4fb6b44b91e1a784fe8da7324 SHA512 c42b59b7f8d44245bfd986c5e228412fe92546300083483b21486465d29bac2735e5c35e12bfd63c9a95210e16a10c733e70512d573c7b05a2f0b8bf083a0a66
+AUX caffe2-2.0.0-gentoo.patch 7081 BLAKE2B d2b8d411f6f2c19c5339053accd445606092d15fad78f793c9a2ba708156b9425607324b842bd78402e3a2009756249a13addb75241a593582e2c6711a702d1a SHA512 ff168df38fef53c7afd3abe2064e258248f7293e16f3fca757f714da41a094be18d18a9180759ebafd952896a9d06aa68927ff9215cab904926ba362eef79929
 DIST pytorch-1.13.1.tar.gz 108279745 BLAKE2B 75de03b74dfdaf8d8fb5ea743fcc0c1b0e408a714ad4160c487921220a7b1755e5fa6e587e6bbc8c9f34dd75e096d2e6dd69c80d24821835fff6c833314434d3 SHA512 f16f89d027efade11d057245cad5b69a390e88b458398310ae30de2dbff7c8fd7f1165be7b8da7ea989c81ac3f5a66c5cb9050610e441a97c83fb8aa28c0bd62
 DIST pytorch-2.0.0.tar.gz 111327292 BLAKE2B 6d593a975c0ade714f0b189f7e3c4ff704b9a9a2377b5e441a9cefc202fa22779966d08948e63671912c6ea5a0eee124042155f4f57a654db34e19e42f013cc9 SHA512 4dd76160711c0d87f3026c8b7fa3ed149dd86b8ac0ee9ecea0eaf80d2e6ce8c29368392e77b9466d90b60634087b462b782495997a5d33367cc8ca9fe14c8a14
-EBUILD caffe2-1.13.1-r4.ebuild 5034 BLAKE2B 53f368a4dff04a37fae150fdece705f61a2234bf4db713f9822ad91005520e2868ee5d2400d1d56376eefb68e9441469dbe8b0550d9c4599fd5b7694d3a48a32 SHA512 318e2fd2654da4dd7db34293f878df8e4f5e98d88d8435c5bf0664ff73c85b6c0115128424eea975e503b739f986be46539c405e03127e706b2b5a9e4fac9633
-EBUILD caffe2-2.0.0-r2.ebuild 5145 BLAKE2B 01babac2df140c8cbe821e4a683143e7b2f1e6ad1279c656b551a8df48cdd304c80a36c9c8b5912aac36ed0e6309de1fcd32de3a1d8d4c5ae68375f40be9eae0 SHA512 343e956a16af420d17967a78ce1119461e132abe5bde5527cacc5ef89a8cc480fc901a844c22132aed0a0c075bb28589e46f106592f5dbbb93bfc463920eb9cf
-MISC metadata.xml 1116 BLAKE2B ac8f5d50c8727a42ab904c5705009247b89b695b8a4e918b2a9a184c7c3e11de19dde49dce207b1eafb0a73a03198efc2efe3890a3b697c18fe86b5740ce2b4b SHA512 6060fb034c36e65279e01ff3c858f944407fbf7a47359f795a13d7fbaa26f5f26945d28d26fbf4301ba359144fc53ba4d845c9dc89669496c0830146fea34724
+EBUILD caffe2-1.13.1-r5.ebuild 5214 BLAKE2B f301b7ce86f581c8abffd54b3a5cc63c5ab7f4c226b5bad4b6397a2829345defdd2a14442f9624e40734c2abdcc04343b64456511742f7ae69e5ab295c498d1b SHA512 21f6ddb2655fe68588baba91c667050df9eb322f5c0493f3fabd38445d6ebd7ec19b49f39c2baa997f4e3dc29eadd2b17ba23ac0d29193e735debaf9cd15e6a7
+EBUILD caffe2-2.0.0-r3.ebuild 5285 BLAKE2B dacdacc1f81d1bb635b87b0a2f4922ac5f8a5d403fb0576eb35f23ce952199845da738dbdc8fa251259bcfd8e0e2875bd9f7f9392a0844582c6fb10e12b9b7e8 SHA512 0a27cb4ebf5daac2ddbd5513b9017fafee554854fa201995b126e7d9a19ee633546c6a9de2bc80ecfe1f2588fa66caa8eae858833e86d7cebadd324ecb7d86f7
+MISC metadata.xml 1161 BLAKE2B af1b8f3ab7789f9aa5f635d5a3f1175bbdd7ccbf68f205bfc2769ccab2cb5c519f6fe62024759eb28f0e1353a04bed3216d222808b9f95100d3e0bb591f1d82b SHA512 1737d3dc8fa7786550930beb067ca4eca173a47095a88450ab5c913d3aed08f51fe21c875f484e5663542471a48ef55878cddc97881ff8be7648987b90b79126
diff --git a/sci-libs/caffe2/caffe2-1.13.1-r4.ebuild b/sci-libs/caffe2/caffe2-1.13.1-r4.ebuild
deleted file mode 100644
index efb497856e53..000000000000
--- a/sci-libs/caffe2/caffe2-1.13.1-r4.ebuild
+++ /dev/null
@@ -1,186 +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
-
-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 ffmpeg mpi nnpack +numpy opencl opencv openmp qnnpack tensorpipe xnnpack"
-RESTRICT="test"
-REQUIRED_USE="
-	${PYTHON_REQUIRED_USE}
-	ffmpeg? ( opencv )
-	mpi? ( distributed )
-	tensorpipe? ( 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]
-	)
-	ffmpeg? ( media-video/ffmpeg:= )
-	mpi? ( sys-cluster/openmpi )
-	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 )
-	xnnpack? ( sci-libs/XNNPACK )
-"
-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}"/${PN}-1.13.0-gentoo.patch
-	"${FILESDIR}"/${PN}-1.13.0-install-dirs.patch
-	"${FILESDIR}"/${PN}-1.12.0-glog-0.6.0.patch
-	"${FILESDIR}"/${PN}-1.12.0-clang.patch
-	"${FILESDIR}"/${P}-tensorpipe.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="${TORCH_CUDA_ARCH_LIST:-3.5 7.0}"
-		-DUSE_DISTRIBUTED=$(usex distributed)
-		-DUSE_MPI=$(usex mpi)
-		-DUSE_FAKELOWP=OFF
-		-DUSE_FBGEMM=OFF # TODO
-		-DUSE_FFMPEG=$(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_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
-
-	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 "${ED}"/var/tmp || die
-	python_domodule python/caffe2
-	python_domodule python/torch
-}
diff --git a/sci-libs/caffe2/caffe2-1.13.1-r5.ebuild b/sci-libs/caffe2/caffe2-1.13.1-r5.ebuild
new file mode 100644
index 000000000000..7fc257acd3ab
--- /dev/null
+++ b/sci-libs/caffe2/caffe2-1.13.1-r5.ebuild
@@ -0,0 +1,193 @@
+# Copyright 2022-2023 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=8
+
+PYTHON_COMPAT=( python3_{9..11} )
+inherit python-single-r1 cmake cuda flag-o-matic
+
+MYPN=pytorch
+MYP=${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 )
+	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 )
+	mpi? ( sys-cluster/openmpi )
+	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 )
+	xnnpack? ( sci-libs/XNNPACK )
+"
+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}"/${PN}-1.13.0-gentoo.patch
+	"${FILESDIR}"/${PN}-1.13.0-install-dirs.patch
+	"${FILESDIR}"/${PN}-1.12.0-glog-0.6.0.patch
+	"${FILESDIR}"/${PN}-1.12.0-clang.patch
+	"${FILESDIR}"/${P}-tensorpipe.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
+}
+
+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="${TORCH_CUDA_ARCH_LIST:-3.5 7.0}"
+		-DUSE_DISTRIBUTED=$(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
+
+	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 "${ED}"/var/tmp || die
+	python_domodule python/caffe2
+	python_domodule python/torch
+}
diff --git a/sci-libs/caffe2/caffe2-2.0.0-r2.ebuild b/sci-libs/caffe2/caffe2-2.0.0-r2.ebuild
deleted file mode 100644
index 7667c7bbee17..000000000000
--- a/sci-libs/caffe2/caffe2-2.0.0-r2.ebuild
+++ /dev/null
@@ -1,189 +0,0 @@
-# Copyright 2022-2023 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=8
-
-PYTHON_COMPAT=( python3_{9..11} )
-inherit python-single-r1 cmake cuda flag-o-matic
-
-MYPN=pytorch
-MYP=${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 mpi nnpack +numpy opencl opencv openmp qnnpack tensorpipe xnnpack"
-RESTRICT="test"
-REQUIRED_USE="
-	${PYTHON_REQUIRED_USE}
-	ffmpeg? ( opencv )
-	mpi? ( distributed )
-	tensorpipe? ( 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:= )
-	mpi? ( sys-cluster/openmpi )
-	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 )
-	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}"/${P}-gentoo.patch
-	"${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}"/${P}-gcc13.patch
-	"${FILESDIR}"/${P}-cudnn_include_fix.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="${TORCH_CUDA_ARCH_LIST:-3.5 7.0}"
-		-DBUILD_NVFUSER=OFF
-		-DUSE_DISTRIBUTED=$(usex distributed)
-		-DUSE_MPI=$(usex mpi)
-		-DUSE_FAKELOWP=OFF
-		-DUSE_FBGEMM=$(usex fbgemm)
-		-DUSE_FFMPEG=$(usex ffmpeg)
-		-DUSE_GFLAGS=ON
-		-DUSE_GLOG=ON
-		-DUSE_GLOO=OFF
-		-DUSE_KINETO=OFF # TODO
-		-DUSE_LEVELDB=OFF
-		-DUSE_MAGMA=OFF # TODO: In GURU as sci-libs/magma
-		-DUSE_MKLDNN=OFF
-		-DUSE_NCCL=OFF # TODO: NVIDIA Collective Communication Library
-		-DUSE_NNPACK=$(usex nnpack)
-		-DUSE_QNNPACK=$(usex qnnpack)
-		-DUSE_XNNPACK=$(usex xnnpack)
-		-DUSE_SYSTEM_XNNPACK=$(usex xnnpack)
-		-DUSE_TENSORPIPE=$(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="$(cuda_gccdir -f | tr -d \")"
-		)
-	fi
-	cmake_src_configure
-}
-
-src_install() {
-	cmake_src_install
-
-	insinto "/var/lib/${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
-}
diff --git a/sci-libs/caffe2/caffe2-2.0.0-r3.ebuild b/sci-libs/caffe2/caffe2-2.0.0-r3.ebuild
new file mode 100644
index 000000000000..42b8dae69229
--- /dev/null
+++ b/sci-libs/caffe2/caffe2-2.0.0-r3.ebuild
@@ -0,0 +1,195 @@
+# 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
+
+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 )
+	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 )
+	mpi? ( sys-cluster/openmpi )
+	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 )
+	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}"/${P}-gentoo.patch
+	"${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}"/${P}-gcc13.patch
+	"${FILESDIR}"/${P}-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
+}
+
+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="${TORCH_CUDA_ARCH_LIST:-3.5 7.0}"
+		-DBUILD_NVFUSER=OFF
+		-DUSE_DISTRIBUTED=$(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
+
+	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 "${ED}"/var/tmp || die
+	python_domodule python/caffe2
+	python_domodule python/torch
+}
diff --git a/sci-libs/caffe2/files/caffe2-1.13.0-gentoo.patch b/sci-libs/caffe2/files/caffe2-1.13.0-gentoo.patch
index a2771e3319d8..f72d44f475fa 100644
--- a/sci-libs/caffe2/files/caffe2-1.13.0-gentoo.patch
+++ b/sci-libs/caffe2/files/caffe2-1.13.0-gentoo.patch
@@ -1,6 +1,41 @@
 --- a/cmake/Dependencies.cmake
 +++ b/cmake/Dependencies.cmake
-@@ -1557,7 +1557,6 @@
+@@ -481,7 +481,7 @@ endif()
+ list(APPEND Caffe2_DEPENDENCY_LIBS cpuinfo)
+ 
+ # ---[ QNNPACK
+-if(USE_QNNPACK)
++if(FALSE)
+   set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
+ 
+   if(NOT DEFINED QNNPACK_SOURCE_DIR)
+@@ -537,7 +537,7 @@ if(USE_QNNPACK)
+ endif()
+ 
+ # ---[ Caffe2 Int8 operators (enabled by USE_QNNPACK) depend on gemmlowp and neon2sse headers
+-if(USE_QNNPACK)
++if(FALSE)
+   set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
+   include_directories(SYSTEM "${CAFFE2_THIRD_PARTY_ROOT}/gemmlowp")
+   include_directories(SYSTEM "${CAFFE2_THIRD_PARTY_ROOT}/neon2sse")
+@@ -789,7 +789,7 @@
+ endif()
+ 
+ # ---[ FBGEMM
+-if(USE_FBGEMM)
++if(FALSE)
+   set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
+   if(NOT DEFINED FBGEMM_SOURCE_DIR)
+     set(FBGEMM_SOURCE_DIR "${CAFFE2_THIRD_PARTY_ROOT}/fbgemm" CACHE STRING "FBGEMM source directory")
+@@ -834,6 +834,7 @@
+ endif()
+ 
+ if(USE_FBGEMM)
++  list(APPEND Caffe2_DEPENDENCY_LIBS fbgemm)
+   caffe2_update_option(USE_FBGEMM ON)
+ else()
+   caffe2_update_option(USE_FBGEMM OFF)
+@@ -1557,7 +1558,6 @@
    if(NOT USE_SYSTEM_ONNX)
      add_subdirectory(${CMAKE_CURRENT_LIST_DIR}/../third_party/onnx EXCLUDE_FROM_ALL)
    endif()
@@ -8,7 +43,7 @@
  
    add_definitions(-DONNX_NAMESPACE=${ONNX_NAMESPACE})
    if(NOT USE_SYSTEM_ONNX)
-@@ -1850,7 +1849,6 @@
+@@ -1850,7 +1850,6 @@
  #
  set(TEMP_BUILD_SHARED_LIBS ${BUILD_SHARED_LIBS})
  set(BUILD_SHARED_LIBS OFF CACHE BOOL "Build shared libs" FORCE)
@@ -16,7 +51,7 @@
  
  # Disable compiler feature checks for `fmt`.
  #
-@@ -1859,9 +1857,7 @@
+@@ -1859,9 +1858,7 @@
  # CMAKE_CXX_FLAGS in ways that break feature checks. Since we already know
  # `fmt` is compatible with a superset of the compilers that PyTorch is, it
  # shouldn't be too bad to just disable the checks.
@@ -168,26 +203,6 @@
      if(NOT USE_SYSTEM_PTHREADPOOL AND USE_INTERNAL_PTHREADPOOL_IMPL)
        set(NNPACK_CUSTOM_THREADPOOL ON CACHE BOOL "")
      endif()
---- a/cmake/Dependencies.cmake
-+++ b/cmake/Dependencies.cmake
-@@ -481,7 +481,7 @@ endif()
- list(APPEND Caffe2_DEPENDENCY_LIBS cpuinfo)
- 
- # ---[ QNNPACK
--if(USE_QNNPACK)
-+if(FALSE)
-   set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
- 
-   if(NOT DEFINED QNNPACK_SOURCE_DIR)
-@@ -537,7 +537,7 @@ if(USE_QNNPACK)
- endif()
- 
- # ---[ Caffe2 Int8 operators (enabled by USE_QNNPACK) depend on gemmlowp and neon2sse headers
--if(USE_QNNPACK)
-+if(FALSE)
-   set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
-   include_directories(SYSTEM "${CAFFE2_THIRD_PARTY_ROOT}/gemmlowp")
-   include_directories(SYSTEM "${CAFFE2_THIRD_PARTY_ROOT}/neon2sse")
 --- a/torch/csrc/Exceptions.cpp	2023-02-13 12:46:54.447013004 +0100
 +++ b/torch/csrc/Exceptions.cpp	2023-02-13 12:50:18.433791791 +0100
 @@ -1,11 +1,10 @@
diff --git a/sci-libs/caffe2/files/caffe2-2.0.0-gentoo.patch b/sci-libs/caffe2/files/caffe2-2.0.0-gentoo.patch
index 021a06e343e4..fce7a395023e 100644
--- a/sci-libs/caffe2/files/caffe2-2.0.0-gentoo.patch
+++ b/sci-libs/caffe2/files/caffe2-2.0.0-gentoo.patch
@@ -1,6 +1,41 @@
 --- a/cmake/Dependencies.cmake
 +++ b/cmake/Dependencies.cmake
-@@ -1554,7 +1554,6 @@
+@@ -486,7 +486,7 @@ endif()
+ list(APPEND Caffe2_DEPENDENCY_LIBS cpuinfo)
+ 
+ # ---[ QNNPACK
+-if(USE_QNNPACK)
++if(FALSE)
+   set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
+ 
+   if(NOT DEFINED QNNPACK_SOURCE_DIR)
+@@ -542,7 +542,7 @@ if(USE_QNNPACK)
+ endif()
+ 
+ # ---[ Caffe2 Int8 operators (enabled by USE_QNNPACK) depend on gemmlowp and neon2sse headers
+-if(USE_QNNPACK)
++if(FALSE)
+   set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
+   include_directories(SYSTEM "${CAFFE2_THIRD_PARTY_ROOT}/gemmlowp")
+   include_directories(SYSTEM "${CAFFE2_THIRD_PARTY_ROOT}/neon2sse")
+@@ -802,7 +802,7 @@
+ endif()
+ 
+ # ---[ FBGEMM
+-if(USE_FBGEMM)
++if(FALSE)
+   set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
+   if(NOT DEFINED FBGEMM_SOURCE_DIR)
+     set(FBGEMM_SOURCE_DIR "${CAFFE2_THIRD_PARTY_ROOT}/fbgemm" CACHE STRING "FBGEMM source directory")
+@@ -847,6 +847,7 @@
+ endif()
+ 
+ if(USE_FBGEMM)
++  list(APPEND Caffe2_DEPENDENCY_LIBS fbgemm)
+   caffe2_update_option(USE_FBGEMM ON)
+ else()
+   caffe2_update_option(USE_FBGEMM OFF)
+@@ -1554,7 +1555,6 @@
        set_target_properties(onnx_proto PROPERTIES CXX_STANDARD 17)
      endif()
    endif()
@@ -8,7 +43,7 @@
  
    add_definitions(-DONNX_NAMESPACE=${ONNX_NAMESPACE})
    if(NOT USE_SYSTEM_ONNX)
-@@ -1819,7 +1818,6 @@
+@@ -1819,7 +1819,6 @@
  #
  set(TEMP_BUILD_SHARED_LIBS ${BUILD_SHARED_LIBS})
  set(BUILD_SHARED_LIBS OFF CACHE BOOL "Build shared libs" FORCE)
@@ -16,7 +51,7 @@
  
  # Disable compiler feature checks for `fmt`.
  #
-@@ -1828,9 +1826,7 @@
+@@ -1828,9 +1827,7 @@
  # CMAKE_CXX_FLAGS in ways that break feature checks. Since we already know
  # `fmt` is compatible with a superset of the compilers that PyTorch is, it
  # shouldn't be too bad to just disable the checks.
@@ -167,23 +202,3 @@
      if(NOT USE_SYSTEM_PTHREADPOOL AND USE_INTERNAL_PTHREADPOOL_IMPL)
        set(NNPACK_CUSTOM_THREADPOOL ON CACHE BOOL "")
      endif()
---- a/cmake/Dependencies.cmake
-+++ b/cmake/Dependencies.cmake
-@@ -486,7 +486,7 @@ endif()
- list(APPEND Caffe2_DEPENDENCY_LIBS cpuinfo)
- 
- # ---[ QNNPACK
--if(USE_QNNPACK)
-+if(FALSE)
-   set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
- 
-   if(NOT DEFINED QNNPACK_SOURCE_DIR)
-@@ -542,7 +542,7 @@ if(USE_QNNPACK)
- endif()
- 
- # ---[ Caffe2 Int8 operators (enabled by USE_QNNPACK) depend on gemmlowp and neon2sse headers
--if(USE_QNNPACK)
-+if(FALSE)
-   set(CAFFE2_THIRD_PARTY_ROOT "${PROJECT_SOURCE_DIR}/third_party")
-   include_directories(SYSTEM "${CAFFE2_THIRD_PARTY_ROOT}/gemmlowp")
-   include_directories(SYSTEM "${CAFFE2_THIRD_PARTY_ROOT}/neon2sse")
diff --git a/sci-libs/caffe2/metadata.xml b/sci-libs/caffe2/metadata.xml
index f58d3b5e97ab..703eedf5322a 100644
--- a/sci-libs/caffe2/metadata.xml
+++ b/sci-libs/caffe2/metadata.xml
@@ -14,6 +14,7 @@
 		<flag name="distributed">Support distributed applications</flag>
 		<flag name="fbgemm">Use FBGEMM</flag>
 		<flag name="ffmpeg">Add support for video processing operators</flag>
+		<flag name="gloo">Use sci-libs/gloo</flag>
 		<flag name="nnpack">Use NNPACK</flag>
 		<flag name="numpy">Add support for math operations through numpy</flag>
 		<flag name="opencl">Use OpenCL</flag>
-- 
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