From 16a4365c3b854e62b50726456ddb29bb78fd5038 Mon Sep 17 00:00:00 2001
From: V3n3RiX <venerix@koprulu.sector>
Date: Sun, 15 Dec 2024 02:02:03 +0000
Subject: gentoo auto-resync : 15:12:2024 - 02:02:03

---
 sci-libs/Manifest.gz                   | Bin 42989 -> 42995 bytes
 sci-libs/caffe2/Manifest               |   2 +-
 sci-libs/caffe2/caffe2-2.5.1-r6.ebuild | 321 --------------------------------
 sci-libs/caffe2/caffe2-2.5.1-r7.ebuild | 324 +++++++++++++++++++++++++++++++++
 sci-libs/pdal/Manifest                 |   2 +-
 sci-libs/pdal/pdal-2.8.1.ebuild        |   2 +-
 6 files changed, 327 insertions(+), 324 deletions(-)
 delete mode 100644 sci-libs/caffe2/caffe2-2.5.1-r6.ebuild
 create mode 100644 sci-libs/caffe2/caffe2-2.5.1-r7.ebuild

(limited to 'sci-libs')

diff --git a/sci-libs/Manifest.gz b/sci-libs/Manifest.gz
index 6589a8dc579d..fe44caf35063 100644
Binary files a/sci-libs/Manifest.gz and b/sci-libs/Manifest.gz differ
diff --git a/sci-libs/caffe2/Manifest b/sci-libs/caffe2/Manifest
index 011d2d908e4c..2d84fa7d26aa 100644
--- a/sci-libs/caffe2/Manifest
+++ b/sci-libs/caffe2/Manifest
@@ -16,5 +16,5 @@ DIST pytorch-2.4.1.tar.gz 115029469 BLAKE2B c2909ff27d527bc57cba56b780d3b8cd07a0
 DIST pytorch-2.5.1.tar.gz 116091366 BLAKE2B 7838b17562b94ffc7d798031348689db607dd5eae2a3c35be365972e2b52a2c1b12067068d5aca5ab00cf0977d9c2c3c9ae5337d69534c864c732e6256cbeef6 SHA512 a913a466324a65fa3d79c5e9ad4d605fc7976f0134fda2f81aaa3cea29d56926604999b8a238759646d211e63b47bbb446cdffa86ca8defd8159f11e30301289
 EBUILD caffe2-2.4.0-r1.ebuild 8334 BLAKE2B d867632884fad33fb7c19344574ce30e70651474650b2f5a6e79576a7338e501989bc4628c1a04f2b2ebf3a611226df68892abdabf856ab74e67df85db74a9f0 SHA512 52e8c0e3535a1a8b90cce9143f4ff8da398de9119d2f23ffeeb0a419dadc29dae68f5e993b1a854066f63ed4809a41a98f098447e318252ff316e70fc6498b32
 EBUILD caffe2-2.4.1-r4.ebuild 8557 BLAKE2B 2cefd7d0c818fb431b3eb6bc2be0a1b225790271b1108169256f8dccac99707fac3d36dc98b7e19a688c66053627d0a222d67e7f65eb6a600ed251677df5490a SHA512 ded17bc1e912f4691bfeee75c66676d331d03c21fe9c9c7416c874ef435e624bdc6109c128f0b5dbe9a5a5be81e648767c6020cd570b94e74f47061e5839f9b3
-EBUILD caffe2-2.5.1-r6.ebuild 8566 BLAKE2B d3e7f873f62875fb999fc2474e8af71ffd7a86d7d89ab61849403f34c3cfda0e1485ed6129aedfb2a750c63a5d33c5b06c159918061ff3abae19f27d16ce55f1 SHA512 f3fc9d397a13cb75966cd5d57e9028463c98c1d1b5be4c3cf56bfa8c6aa5265d87cc1c3cf756e8d3c4cd9faf5d0409c68b4773316950dc906c5e7de38f038cbf
+EBUILD caffe2-2.5.1-r7.ebuild 8655 BLAKE2B d6ff077b69ba62b5e5c5d2c2b72c18f8125ba4f21d79fec139c0bedbdaf323adb8e3b1a904570fe30f73aa9e568ac3f368ac9f3855540d803e0e10b29ff58a61 SHA512 b78f8bf92a57a1dcb96cc4c07e79bc783e3d8afbeb2340ce8512aa7b9602361026257a82980baec8152d0f5e893f2b9cacd0384fcde44e88177099e9239d378f
 MISC metadata.xml 1081 BLAKE2B 57800165612fd555263cab4cf0bb0521acd7d41f0023da501a50ccc5a479d25ad7087661a6eec500333c3cf9cc3a85d7be8e9385869c14d92f351d8d9df68556 SHA512 71cc785a5b1688b6a0ac971d31d5fa85bef86966aa80009c34e97caa385c81a7c2fb64ae34d0a39c21548d8238efd008da24bd838a47886bfa3f0d952246b76e
diff --git a/sci-libs/caffe2/caffe2-2.5.1-r6.ebuild b/sci-libs/caffe2/caffe2-2.5.1-r6.ebuild
deleted file mode 100644
index 42f843a02f98..000000000000
--- a/sci-libs/caffe2/caffe2-2.5.1-r6.ebuild
+++ /dev/null
@@ -1,321 +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=6.1
-inherit python-single-r1 cmake cuda flag-o-matic prefix rocm toolchain-funcs
-
-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
-	-> ${MYP}.tar.gz"
-
-S="${WORKDIR}"/${MYP}
-
-LICENSE="BSD"
-SLOT="0"
-KEYWORDS="~amd64"
-IUSE="cuda distributed fbgemm flash gloo mkl mpi nnpack +numpy onednn openblas opencl openmp qnnpack rocm xnnpack"
-RESTRICT="test"
-REQUIRED_USE="
-	${PYTHON_REQUIRED_USE}
-	mpi? ( distributed )
-	gloo? ( distributed )
-	?? ( cuda rocm )
-	rocm? (
-		|| ( ${ROCM_REQUIRED_USE} )
-		!flash
-	)
-"
-
-RDEPEND="
-	${PYTHON_DEPS}
-	dev-cpp/abseil-cpp:=
-	dev-cpp/gflags:=
-	>=dev-cpp/glog-0.5.0
-	dev-cpp/nlohmann_json
-	dev-cpp/opentelemetry-cpp
-	dev-libs/cpuinfo
-	dev-libs/libfmt
-	dev-libs/protobuf:=
-	dev-libs/pthreadpool
-	dev-libs/sleef
-	virtual/lapack
-	sci-libs/onnx
-	sci-libs/foxi
-	cuda? (
-		dev-libs/cudnn
-		>=dev-libs/cudnn-frontend-1.0.3:0/8
-		dev-util/nvidia-cuda-toolkit:=[profiler]
-	)
-	fbgemm? ( >=dev-libs/FBGEMM-2023.12.01 )
-	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-3.5* )
-	opencl? ( virtual/opencl )
-	qnnpack? (
-		!sci-libs/QNNPACK
-		dev-cpp/gemmlowp
-	)
-	rocm? (
-		=dev-util/hip-6.1*
-		=dev-libs/rccl-6.1*[${ROCM_USEDEP}]
-		=sci-libs/rocThrust-6.1*[${ROCM_USEDEP}]
-		=sci-libs/rocPRIM-6.1*[${ROCM_USEDEP}]
-		=sci-libs/hipBLAS-6.1*[${ROCM_USEDEP}]
-		=sci-libs/hipFFT-6.1*[${ROCM_USEDEP}]
-		=sci-libs/hipSPARSE-6.1*[${ROCM_USEDEP}]
-		=sci-libs/hipRAND-6.1*[${ROCM_USEDEP}]
-		=sci-libs/hipCUB-6.1*[${ROCM_USEDEP}]
-		=sci-libs/hipSOLVER-6.1*[${ROCM_USEDEP}]
-		=sci-libs/miopen-6.1*[${ROCM_USEDEP}]
-		=dev-util/roctracer-6.1*[${ROCM_USEDEP}]
-
-		=sci-libs/hipBLASLt-6.1*
-		amdgpu_targets_gfx90a? ( =sci-libs/hipBLASLt-6.1*[amdgpu_targets_gfx90a] )
-		amdgpu_targets_gfx940? ( =sci-libs/hipBLASLt-6.1*[amdgpu_targets_gfx940] )
-		amdgpu_targets_gfx941? ( =sci-libs/hipBLASLt-6.1*[amdgpu_targets_gfx941] )
-		amdgpu_targets_gfx942? ( =sci-libs/hipBLASLt-6.1*[amdgpu_targets_gfx942] )
-	)
-	distributed? (
-		sci-libs/tensorpipe[cuda?]
-		dev-cpp/cpp-httplib
-	)
-	xnnpack? ( >=sci-libs/XNNPACK-2024.02.29 )
-	mkl? ( sci-libs/mkl )
-	openblas? ( sci-libs/openblas )
-"
-
-DEPEND="
-	${RDEPEND}
-	cuda? ( <=dev-libs/cutlass-3.4.1 )
-	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_p20240525
-	$(python_gen_cond_dep '
-		dev-python/pyyaml[${PYTHON_USEDEP}]
-		dev-python/pybind11[${PYTHON_USEDEP}]
-		dev-python/typing-extensions[${PYTHON_USEDEP}]
-	')
-"
-
-PATCHES=(
-	"${FILESDIR}"/${P}-unbundle_fmt.patch
-	"${FILESDIR}"/${P}-unbundle_kineto.patch
-	"${FILESDIR}"/${P}-cudnn_include_fix.patch
-	"${FILESDIR}"/${P}-gentoo.patch
-	"${FILESDIR}"/${PN}-2.4.0-cpp-httplib.patch
-	"${FILESDIR}"/${P}-glog-0.6.0.patch
-	"${FILESDIR}"/${P}-newfix-functorch-install.patch
-)
-
-src_prepare() {
-	filter-lto #bug 862672
-
-	# Unbundle fmt
-	sed -i \
-		-e 's|::fmt-header-only||' \
-		c10/CMakeLists.txt \
-		cmake/Dependencies.cmake \
-		torch/CMakeLists.txt \
-		|| die
-
-	# Drop third_party from CMake tree
-	sed -i \
-		-e '/add_subdirectory.*third_party/d' \
-		CMakeLists.txt \
-		cmake/Dependencies.cmake \
-		cmake/ProtoBuf.cmake \
-		aten/src/ATen/CMakeLists.txt \
-		|| 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 ${TORCH_CUDA_ARCH_LIST} ]]; then
-		ewarn "WARNING: caffe2 is being built with its default CUDA compute capabilities: 3.5 and 7.0."
-		ewarn "These may not be optimal for your GPU."
-		ewarn ""
-		ewarn "To configure caffe2 with the CUDA compute capability that is optimal for your GPU,"
-		ewarn "set TORCH_CUDA_ARCH_LIST in your make.conf, and re-emerge caffe2."
-		ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TORCH_CUDA_ARCH_LIST=7.5 3.5"
-		ewarn "For a Maxwell model GPU, an example value would be: TORCH_CUDA_ARCH_LIST=Maxwell"
-		ewarn ""
-		ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus"
-		ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'"
-	fi
-
-	local mycmakeargs=(
-		-DBUILD_CUSTOM_PROTOBUF=OFF
-		-DLIBSHM_INSTALL_LIB_SUBDIR="${EPREFIX}"/usr/$(get_libdir)
-		-DPython_EXECUTABLE="${PYTHON}"
-		-DTORCH_INSTALL_LIB_DIR="${EPREFIX}"/usr/$(get_libdir)
-		-DUSE_CCACHE=OFF
-		-DUSE_CUDA=$(usex cuda)
-		-DUSE_DISTRIBUTED=$(usex distributed)
-		-DUSE_FAKELOWP=OFF
-		-DUSE_FBGEMM=$(usex fbgemm)
-		-DUSE_FLASH_ATTENTION=$(usex flash)
-		-DUSE_GFLAGS=ON
-		-DUSE_GLOG=ON
-		-DUSE_GLOO=$(usex gloo)
-		-DUSE_ITT=OFF
-		-DUSE_KINETO=OFF # TODO
-		-DUSE_MAGMA=OFF # TODO: In GURU as sci-libs/magma
-		-DUSE_MEM_EFF_ATTENTION=OFF
-		-DUSE_MKLDNN=$(usex onednn)
-		-DUSE_MPI=$(usex mpi)
-		-DUSE_NCCL=OFF
-		-DUSE_NNPACK=$(usex nnpack)
-		-DUSE_NUMA=OFF
-		-DUSE_NUMPY=$(usex numpy)
-		-DUSE_OPENCL=$(usex opencl)
-		-DUSE_OPENMP=$(usex openmp)
-		-DUSE_PYTORCH_QNNPACK=$(usex qnnpack)
-		-DUSE_PYTORCH_METAL=OFF
-		-DUSE_ROCM=$(usex rocm)
-		-DUSE_SYSTEM_CPUINFO=ON
-		-DUSE_SYSTEM_EIGEN_INSTALL=ON
-		-DUSE_SYSTEM_FP16=ON
-		-DUSE_SYSTEM_FXDIV=ON
-		-DUSE_SYSTEM_GLOO=ON
-		-DUSE_SYSTEM_ONNX=ON
-		-DUSE_SYSTEM_PSIMD=ON
-		-DUSE_SYSTEM_PSIMD=ON
-		-DUSE_SYSTEM_PTHREADPOOL=ON
-		-DUSE_SYSTEM_PYBIND11=ON
-		-DUSE_SYSTEM_SLEEF=ON
-		-DUSE_SYSTEM_XNNPACK=$(usex xnnpack)
-		-DUSE_TENSORPIPE=$(usex distributed)
-		-DUSE_UCC=OFF
-		-DUSE_VALGRIND=OFF
-		-DUSE_XNNPACK=$(usex xnnpack)
-		-DUSE_XPU=OFF
-		-Wno-dev
-	)
-
-	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="$(get_amdgpu_flags)"
-
-		mycmakeargs+=(
-			-DUSE_NCCL=ON
-			-DUSE_SYSTEM_NCCL=ON
-		)
-
-		# ROCm libraries produce too much warnings
-		append-cxxflags -Wno-deprecated-declarations -Wno-unused-result
-
-		if tc-is-clang; then
-			# fix mangling in LLVM: https://github.com/llvm/llvm-project/issues/85656
-			append-cxxflags -fclang-abi-compat=17
-		fi
-	fi
-
-	if use onednn; then
-		mycmakeargs+=(
-			-DMKLDNN_FOUND=ON
-			-DMKLDNN_LIBRARIES=dnnl
-			-DMKLDNN_INCLUDE_DIR="${ESYSROOT}/usr/include/oneapi/dnnl"
-		)
-	fi
-
-	cmake_src_configure
-}
-
-src_compile() {
-	PYTORCH_BUILD_VERSION=${PV} \
-	PYTORCH_BUILD_NUMBER=0 \
-	cmake_src_compile
-}
-
-src_install() {
-	cmake_src_install
-
-	# Used by pytorch ebuild
-	insinto "/var/lib/${PN}"
-	doins "${BUILD_DIR}"/CMakeCache.txt
-	dostrip -x /var/lib/${PN}/functorch.so
-
-	rm -rf python
-	mkdir -p python/torch || die
-	cp torch/version.py python/torch/ || die
-	python_domodule python/torch
-
-	mkdir "${D}"$(python_get_sitedir)/torch/bin || die
-	mkdir "${D}"$(python_get_sitedir)/torch/lib || die
-	mkdir "${D}"$(python_get_sitedir)/torch/include || die
-
-	ln -s ../../../../../include/torch \
-		"${D}$(python_get_sitedir)"/torch/include/torch || die # bug 923269
-
-	mv "${D}"/usr/bin/torch_shm_manager \
-		"${D}"/$(python_get_sitedir)/torch/bin/ || die
-
-	mv "${D}"/usr/$(get_libdir)/libtorch_global_deps.so \
-		"${D}"/$(python_get_sitedir)/torch/lib/ || die
-
-	mv "${D}"/usr/lib/libc10*.so \
-		"${D}"/usr/$(get_libdir)/ || die
-}
diff --git a/sci-libs/caffe2/caffe2-2.5.1-r7.ebuild b/sci-libs/caffe2/caffe2-2.5.1-r7.ebuild
new file mode 100644
index 000000000000..8cb8a0b152fa
--- /dev/null
+++ b/sci-libs/caffe2/caffe2-2.5.1-r7.ebuild
@@ -0,0 +1,324 @@
+# 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=6.1
+inherit python-single-r1 cmake cuda flag-o-matic prefix rocm toolchain-funcs
+
+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
+	-> ${MYP}.tar.gz"
+
+S="${WORKDIR}"/${MYP}
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~amd64"
+IUSE="cuda distributed fbgemm flash gloo mkl mpi nnpack +numpy onednn openblas opencl openmp qnnpack rocm xnnpack"
+RESTRICT="test"
+REQUIRED_USE="
+	${PYTHON_REQUIRED_USE}
+	mpi? ( distributed )
+	gloo? ( distributed )
+	?? ( cuda rocm )
+	rocm? (
+		|| ( ${ROCM_REQUIRED_USE} )
+		!flash
+	)
+"
+
+RDEPEND="
+	${PYTHON_DEPS}
+	dev-cpp/abseil-cpp:=
+	dev-cpp/gflags:=
+	>=dev-cpp/glog-0.5.0
+	dev-cpp/nlohmann_json
+	dev-cpp/opentelemetry-cpp
+	dev-libs/cpuinfo
+	dev-libs/libfmt
+	dev-libs/protobuf:=
+	dev-libs/pthreadpool
+	dev-libs/sleef
+	virtual/lapack
+	sci-libs/onnx
+	sci-libs/foxi
+	cuda? (
+		dev-libs/cudnn
+		>=dev-libs/cudnn-frontend-1.0.3:0/8
+		dev-util/nvidia-cuda-toolkit:=[profiler]
+	)
+	fbgemm? ( >=dev-libs/FBGEMM-2023.12.01 )
+	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-3.5* )
+	opencl? ( virtual/opencl )
+	qnnpack? (
+		!sci-libs/QNNPACK
+		dev-cpp/gemmlowp
+	)
+	rocm? (
+		=dev-util/hip-6.1*
+		=dev-libs/rccl-6.1*[${ROCM_USEDEP}]
+		=sci-libs/rocThrust-6.1*[${ROCM_USEDEP}]
+		=sci-libs/rocPRIM-6.1*[${ROCM_USEDEP}]
+		=sci-libs/hipBLAS-6.1*[${ROCM_USEDEP}]
+		=sci-libs/hipFFT-6.1*[${ROCM_USEDEP}]
+		=sci-libs/hipSPARSE-6.1*[${ROCM_USEDEP}]
+		=sci-libs/hipRAND-6.1*[${ROCM_USEDEP}]
+		=sci-libs/hipCUB-6.1*[${ROCM_USEDEP}]
+		=sci-libs/hipSOLVER-6.1*[${ROCM_USEDEP}]
+		=sci-libs/miopen-6.1*[${ROCM_USEDEP}]
+		=dev-util/roctracer-6.1*[${ROCM_USEDEP}]
+
+		=sci-libs/hipBLASLt-6.1*
+		amdgpu_targets_gfx90a? ( =sci-libs/hipBLASLt-6.1*[amdgpu_targets_gfx90a] )
+		amdgpu_targets_gfx940? ( =sci-libs/hipBLASLt-6.1*[amdgpu_targets_gfx940] )
+		amdgpu_targets_gfx941? ( =sci-libs/hipBLASLt-6.1*[amdgpu_targets_gfx941] )
+		amdgpu_targets_gfx942? ( =sci-libs/hipBLASLt-6.1*[amdgpu_targets_gfx942] )
+	)
+	distributed? (
+		sci-libs/tensorpipe[cuda?]
+		dev-cpp/cpp-httplib
+	)
+	xnnpack? ( >=sci-libs/XNNPACK-2024.02.29 )
+	mkl? ( sci-libs/mkl )
+	openblas? ( sci-libs/openblas )
+"
+
+DEPEND="
+	${RDEPEND}
+	cuda? ( <=dev-libs/cutlass-3.4.1 )
+	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_p20240525
+	$(python_gen_cond_dep '
+		dev-python/pyyaml[${PYTHON_USEDEP}]
+		dev-python/pybind11[${PYTHON_USEDEP}]
+		dev-python/typing-extensions[${PYTHON_USEDEP}]
+	')
+"
+
+PATCHES=(
+	"${FILESDIR}"/${P}-unbundle_fmt.patch
+	"${FILESDIR}"/${P}-unbundle_kineto.patch
+	"${FILESDIR}"/${P}-cudnn_include_fix.patch
+	"${FILESDIR}"/${P}-gentoo.patch
+	"${FILESDIR}"/${PN}-2.4.0-cpp-httplib.patch
+	"${FILESDIR}"/${P}-glog-0.6.0.patch
+	"${FILESDIR}"/${P}-newfix-functorch-install.patch
+)
+
+src_prepare() {
+	filter-lto #bug 862672
+
+	# Unbundle fmt
+	sed -i \
+		-e 's|::fmt-header-only||' \
+		c10/CMakeLists.txt \
+		cmake/Dependencies.cmake \
+		torch/CMakeLists.txt \
+		|| die
+
+	# Drop third_party from CMake tree
+	sed -i \
+		-e '/add_subdirectory.*third_party/d' \
+		CMakeLists.txt \
+		cmake/Dependencies.cmake \
+		cmake/ProtoBuf.cmake \
+		aten/src/ATen/CMakeLists.txt \
+		|| die
+	# Change libc10* path
+	sed -i \
+		-e "/EXPORT/s|DESTINATION lib)|DESTINATION $(get_libdir))|" \
+		c10/cuda/CMakeLists.txt \
+		c10/CMakeLists.txt \
+		|| die
+
+	cmake_src_prepare
+	pushd torch/csrc/jit/serialization || die
+	flatc --cpp --gen-mutable --scoped-enums mobile_bytecode.fbs || die
+	popd
+
+	# prefixify the hardcoded paths, after all patches are applied
+	hprefixify \
+		aten/CMakeLists.txt \
+		caffe2/CMakeLists.txt \
+		cmake/Metal.cmake \
+		cmake/Modules/*.cmake \
+		cmake/Modules_CUDA_fix/FindCUDNN.cmake \
+		cmake/Modules_CUDA_fix/upstream/FindCUDA/make2cmake.cmake \
+		cmake/Modules_CUDA_fix/upstream/FindPackageHandleStandardArgs.cmake \
+		cmake/public/LoadHIP.cmake \
+		cmake/public/cuda.cmake \
+		cmake/Dependencies.cmake \
+		torch/CMakeLists.txt \
+		CMakeLists.txt
+
+	if use rocm; then
+		sed -e "s:/opt/rocm:/usr:" \
+			-e "s:lib/cmake:$(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 ${TORCH_CUDA_ARCH_LIST} ]]; then
+		ewarn "WARNING: caffe2 is being built with its default CUDA compute capabilities: 3.5 and 7.0."
+		ewarn "These may not be optimal for your GPU."
+		ewarn ""
+		ewarn "To configure caffe2 with the CUDA compute capability that is optimal for your GPU,"
+		ewarn "set TORCH_CUDA_ARCH_LIST in your make.conf, and re-emerge caffe2."
+		ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TORCH_CUDA_ARCH_LIST=7.5 3.5"
+		ewarn "For a Maxwell model GPU, an example value would be: TORCH_CUDA_ARCH_LIST=Maxwell"
+		ewarn ""
+		ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus"
+		ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'"
+	fi
+
+	local mycmakeargs=(
+		-DBUILD_CUSTOM_PROTOBUF=OFF
+		-DLIBSHM_INSTALL_LIB_SUBDIR="${EPREFIX}"/usr/$(get_libdir)
+		-DPython_EXECUTABLE="${PYTHON}"
+		-DTORCH_INSTALL_LIB_DIR="${EPREFIX}"/usr/$(get_libdir)
+		-DUSE_CCACHE=OFF
+		-DUSE_CUDA=$(usex cuda)
+		-DUSE_DISTRIBUTED=$(usex distributed)
+		-DUSE_FAKELOWP=OFF
+		-DUSE_FBGEMM=$(usex fbgemm)
+		-DUSE_FLASH_ATTENTION=$(usex flash)
+		-DUSE_GFLAGS=ON
+		-DUSE_GLOG=ON
+		-DUSE_GLOO=$(usex gloo)
+		-DUSE_ITT=OFF
+		-DUSE_KINETO=OFF # TODO
+		-DUSE_MAGMA=OFF # TODO: In GURU as sci-libs/magma
+		-DUSE_MEM_EFF_ATTENTION=OFF
+		-DUSE_MKLDNN=$(usex onednn)
+		-DUSE_MPI=$(usex mpi)
+		-DUSE_NCCL=OFF
+		-DUSE_NNPACK=$(usex nnpack)
+		-DUSE_NUMA=OFF
+		-DUSE_NUMPY=$(usex numpy)
+		-DUSE_OPENCL=$(usex opencl)
+		-DUSE_OPENMP=$(usex openmp)
+		-DUSE_PYTORCH_QNNPACK=$(usex qnnpack)
+		-DUSE_PYTORCH_METAL=OFF
+		-DUSE_ROCM=$(usex rocm)
+		-DUSE_SYSTEM_CPUINFO=ON
+		-DUSE_SYSTEM_EIGEN_INSTALL=ON
+		-DUSE_SYSTEM_FP16=ON
+		-DUSE_SYSTEM_FXDIV=ON
+		-DUSE_SYSTEM_GLOO=ON
+		-DUSE_SYSTEM_ONNX=ON
+		-DUSE_SYSTEM_PSIMD=ON
+		-DUSE_SYSTEM_PSIMD=ON
+		-DUSE_SYSTEM_PTHREADPOOL=ON
+		-DUSE_SYSTEM_PYBIND11=ON
+		-DUSE_SYSTEM_SLEEF=ON
+		-DUSE_SYSTEM_XNNPACK=$(usex xnnpack)
+		-DUSE_TENSORPIPE=$(usex distributed)
+		-DUSE_UCC=OFF
+		-DUSE_VALGRIND=OFF
+		-DUSE_XNNPACK=$(usex xnnpack)
+		-DUSE_XPU=OFF
+		-Wno-dev
+	)
+
+	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="$(get_amdgpu_flags)"
+
+		mycmakeargs+=(
+			-DUSE_NCCL=ON
+			-DUSE_SYSTEM_NCCL=ON
+		)
+
+		# ROCm libraries produce too much warnings
+		append-cxxflags -Wno-deprecated-declarations -Wno-unused-result
+
+		if tc-is-clang; then
+			# fix mangling in LLVM: https://github.com/llvm/llvm-project/issues/85656
+			append-cxxflags -fclang-abi-compat=17
+		fi
+	fi
+
+	if use onednn; then
+		mycmakeargs+=(
+			-DMKLDNN_FOUND=ON
+			-DMKLDNN_LIBRARIES=dnnl
+			-DMKLDNN_INCLUDE_DIR="${ESYSROOT}/usr/include/oneapi/dnnl"
+		)
+	fi
+
+	cmake_src_configure
+}
+
+src_compile() {
+	PYTORCH_BUILD_VERSION=${PV} \
+	PYTORCH_BUILD_NUMBER=0 \
+	cmake_src_compile
+}
+
+src_install() {
+	cmake_src_install
+
+	# Used by pytorch ebuild
+	insinto "/var/lib/${PN}"
+	doins "${BUILD_DIR}"/CMakeCache.txt
+	dostrip -x /var/lib/${PN}/functorch.so
+
+	rm -rf python
+	mkdir -p python/torch || die
+	cp torch/version.py python/torch/ || die
+	python_domodule python/torch
+
+	mkdir "${D}"$(python_get_sitedir)/torch/bin || die
+	mkdir "${D}"$(python_get_sitedir)/torch/lib || die
+	mkdir "${D}"$(python_get_sitedir)/torch/include || die
+
+	ln -s ../../../../../include/torch \
+		"${D}$(python_get_sitedir)"/torch/include/torch || die # bug 923269
+
+	mv "${D}"/usr/bin/torch_shm_manager \
+		"${D}"/$(python_get_sitedir)/torch/bin/ || die
+
+	mv "${D}"/usr/$(get_libdir)/libtorch_global_deps.so \
+		"${D}"/$(python_get_sitedir)/torch/lib/ || die
+}
diff --git a/sci-libs/pdal/Manifest b/sci-libs/pdal/Manifest
index b3693a320ba4..774c07a56faa 100644
--- a/sci-libs/pdal/Manifest
+++ b/sci-libs/pdal/Manifest
@@ -1,5 +1,5 @@
 DIST PDAL-2.8.0-src.tar.bz2 87483358 BLAKE2B 8d15187f2b6a7110d52e2621d65ee8eedce0dd21c415c18fbb1e48dbdb0b24307b42487f4631f227875079ba47031c27196399970458236c7139b8f1418aa3b8 SHA512 d3b02f13e56423c5086e72908f932db384cb0d64f3d3e5cec121c1e283268f8e38f6123ff852d77c07ea9777001a78595bdafed458dc06aa52402d92e76ce995
 DIST PDAL-2.8.1-src.tar.bz2 87507277 BLAKE2B 634ba5f2c5548bfa1fbdcc257185dcd99d2c8bda73e3ac24cf092d378150285912d9c5b48c88e21df14d5502221865273fa6167b82886ef848fc7d445c8937dc SHA512 fb1d0e892ea38518526ce0086415fffd92f356d104d9982f8883d254a206a75b51ff796dbf5db266a4dc8345ae91b825e8a50ae78eb21552c86ab600905850ad
 EBUILD pdal-2.8.0.ebuild 1492 BLAKE2B a565c01aa1314c20ef23c75297761e32cb6f32e47b8d61be1d6b56b57106e90ee9a88497e4dda2095356fa8f948115e22e1e52c0b68b4cc80fe08b3dc24deabe SHA512 3b20783bf7356f0be18e3bd8c0c6aba1a9d481d84110dbf11b01819d0de6e35103460e595351dd00e342182e125fb8c3546c8ba8a14b65e0ba46c8f7da13867e
-EBUILD pdal-2.8.1.ebuild 1493 BLAKE2B 6fa9c92adbe8accbe19e2915c6b101df05b33d84b19bdb2d43df83ac40a7502308c89bc2fb42ceb445b855a7a531abbd404b75b2c813f6b821caac7e2705b507 SHA512 9510b2a378397849db4f726ed4fbe24b23d23bbddd4e5049c0b482ed6cc94a9ae74b4d984f19e0fe1cf65b7258ebc33cfa90e7b0a702817e5e4f514d3d640690
+EBUILD pdal-2.8.1.ebuild 1492 BLAKE2B a565c01aa1314c20ef23c75297761e32cb6f32e47b8d61be1d6b56b57106e90ee9a88497e4dda2095356fa8f948115e22e1e52c0b68b4cc80fe08b3dc24deabe SHA512 3b20783bf7356f0be18e3bd8c0c6aba1a9d481d84110dbf11b01819d0de6e35103460e595351dd00e342182e125fb8c3546c8ba8a14b65e0ba46c8f7da13867e
 MISC metadata.xml 799 BLAKE2B 44fff88edc36553687a49ecf5113b1f7f3c8d092e82ef4e45f0d96cf53cc619647f45b3d3439a5b98bf43a8965e1b80582e7b074489dcd69f6f3aad9e5c7f59a SHA512 da405bacd840b714fe274fa5ca658f7a51b0078054058dcce46f690b33e641579981739de9511f4a876ff0f88aec5c2dbaa59e4db035eb9a85bdd8e9725bc7c2
diff --git a/sci-libs/pdal/pdal-2.8.1.ebuild b/sci-libs/pdal/pdal-2.8.1.ebuild
index f18bb365d8a9..559c3beba909 100644
--- a/sci-libs/pdal/pdal-2.8.1.ebuild
+++ b/sci-libs/pdal/pdal-2.8.1.ebuild
@@ -12,7 +12,7 @@ S="${WORKDIR}/PDAL-${PV}-src"
 
 LICENSE="BSD"
 SLOT="0/18"
-KEYWORDS="~amd64 ~arm ~arm64 ~x86"
+KEYWORDS="amd64 ~arm ~arm64 ~x86"
 IUSE="debug postgres test"
 
 BDEPEND="
-- 
cgit v1.2.3