sci-ml/caffe2: drop 2.9.0-r3

Signed-off-by: Alfredo Tupone <tupone@gentoo.org>
2026-09-24 04:59:14 -07:00 · 2025-12-24 14:12:47 +01:00
parent 43dee265af
commit d858e58e5b
2 changed files with 0 additions and 412 deletions
--- a/sci-ml/caffe2/Manifest
+++ b/sci-ml/caffe2/Manifest
@@ -2,5 +2,4 @@ DIST composable_kernel-7fe50dc3.tar.gz 5380728 BLAKE2B c89c346d8e2d7a93a9cf26409
 DIST composable_kernel-8086bbe3.tar.gz 4418862 BLAKE2B b710e3d4586899443ec01044dad19fd2f992c351e2f65ba526dfcc47cc65c095beaf8ac21a8f71c02a0eb524d364e817b27241a9198884f2bdae9924b51e24e4 SHA512 8410b5a1c864d71f3034ef0d9d1245078856d09cc191faec59856c229bf11d89ae291036d735cb5cec4f1d72e6e9e8f6921833147f9619d30cfab8722d3a9f63
 DIST flash-attention-2.7.4.gh.tar.gz 5841323 BLAKE2B 432999d763f2b3d732580ddfea5d3e01370351db0656546259a5e500a07516dd03c98828bfb55855dabe4adc651033b5d97ea4725ca46158b9970f0fbc662710 SHA512 05a4afb09e666f7404d6a3f8b5256e7bed6eba60a6f1bde2b7dbb96d318975f0b458c2521c7a38d88e97b6e4c27f29077cf787849daf82586e33f43a3d9a84b3
 DIST pytorch-2.8.0.tar.gz 56565754 BLAKE2B a8f07513b92f9293f8322508f9fc73a462f89fe51cb1f280af371cee19cbe7e2bf900ba2b3c43fd08ea415566db441a6d6310d77f18477e957641be311a361a5 SHA512 448e9dad4aa10f1793d35e6ffe9f0f69b7719d41e6eccceb687a8d0c148e22d03e4f76170a05308ef9323a7aea41aa74605077ae1d68c6d949f13b3340ebf310
-DIST pytorch-2.9.0.tar.gz 55750268 BLAKE2B 943459ec60a4e1f5e36766defc7018fbf9722fb1564b723c2a7ebcb2a5d8b1735f0b1542dc67a77f788af3e2454ea6261dbdee5beb2bcfa4af2e58ca566edc93 SHA512 2ecdc0eac39ecee68b0f4c98e498424cde00c45bbeeff576c8778046f97119cd02885498b072352dd3cdd9aecd02baf61cdc5554bce8d757b30c673053a0cc80
 DIST pytorch-2.9.1.tar.gz 55764697 BLAKE2B b22e154034f8a25aa3ef949eb6b0456777e11fe5f97de56c6112d93a2e154db425e97848911af458d179f03d7154956f53b715c7b9d7e7f074e0baceac35dad8 SHA512 d7098408d44e0fee9ded4afd6622df6f08757bf02eee878ae25b62a275f82eb16f96a07027c670c6ffdd431c8714c569249bd8518ac8828a504e99908b8c38b1
--- a/sci-ml/caffe2/caffe2-2.9.0-r3.ebuild
+++ b/sci-ml/caffe2/caffe2-2.9.0-r3.ebuild
@@ -1,411 +0,0 @@
-# Copyright 2022-2025 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=8
-
-PYTHON_COMPAT=( python3_{11..14} )
-ROCM_VERSION=6.1
-inherit python-single-r1 cmake cuda flag-o-matic prefix rocm toolchain-funcs
-
-MYPN=pytorch
-MYP=${MYPN}-${PV}
-
-# caffe2-2.9.0 depends on future version of composable kernel
-# TODO: replace it with DEPEND in the future
-CK_COMMIT=7fe50dc3da2069d6645d9deb8c017a876472a977
-CK_P=composable_kernel-${CK_COMMIT:0:8}
-
-FLASH_PV=2.7.4
-FLASH_PN=flash-attention
-FLASH_P=${FLASH_PN}-${FLASH_PV}
-FLASH_ATT_URI="https://github.com/Dao-AILab/${FLASH_PN}/archive/refs/tags/v${FLASH_PV}.tar.gz -> ${FLASH_P}.gh.tar.gz"
-
-AOTRITON_PV=0.9.2b
-AOTRITON_PN=aotriton
-AOTRITON_P=${AOTRITON_PN}-${AOTRITON_PV}
-AOTRITON_tar=${AOTRITON_P}-manylinux_2_28_x86_64-rocm6.3-shared.tar.gz
-
-DESCRIPTION="A deep learning framework"
-HOMEPAGE="https://pytorch.org/"
-SRC_URI="
-	https://github.com/pytorch/${MYPN}/archive/refs/tags/v${PV}.tar.gz -> ${MYP}.tar.gz
-	rocm? (
-		https://github.com/ROCm/composable_kernel/archive/${CK_COMMIT}.tar.gz
-		-> ${CK_P}.tar.gz
-	)
-	cuda? (
-		flash? ( ${FLASH_ATT_URI} )
-		memefficient? ( ${FLASH_ATT_URI} )
-	)
-"
-
-S="${WORKDIR}"/${MYP}
-
-LICENSE="BSD"
-SLOT="0"
-KEYWORDS="~amd64 ~arm64"
-IUSE="cuda cusparselt distributed fbgemm flash gloo memefficient mkl mpi nccl 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? ( || ( cuda rocm ) )
-	memefficient? ( || ( cuda rocm ) )
-	nccl? ( rocm )
-"
-
-RDEPEND="
-	${PYTHON_DEPS}
-	dev-cpp/abseil-cpp:=
-	dev-cpp/gflags:=
-	>=dev-cpp/glog-0.5.0:=
-	dev-libs/cpuinfo
-	dev-libs/libfmt:=
-	dev-cpp/opentelemetry-cpp
-	dev-libs/protobuf:=
-	dev-libs/sleef
-	~sci-ml/kineto-0.4.0_p20250617
-	sci-ml/onnx
-	virtual/lapack
-	cuda? (
-		dev-libs/cudnn
-		>=sci-ml/cudnn-frontend-1.12.0:=
-		>=dev-util/nvidia-cuda-toolkit-12.9:=[profiler]
-		cusparselt? ( dev-libs/cusparselt )
-	)
-	fbgemm? ( sci-ml/FBGEMM )
-	gloo? ( >=sci-ml/gloo-2025.06.04[cuda?,rocm?] )
-	mpi? ( virtual/mpi )
-	nnpack? (
-		sci-ml/NNPACK
-		dev-libs/pthreadpool
-	)
-	numpy? ( $(python_gen_cond_dep '
-		dev-python/numpy[${PYTHON_USEDEP}]
-	') )
-	onednn? ( =sci-ml/oneDNN-3.5* )
-	opencl? ( virtual/opencl )
-	qnnpack? (
-		!sci-libs/QNNPACK
-		sci-ml/gemmlowp
-		dev-libs/pthreadpool
-	)
-	rocm? (
-		nccl? ( >=dev-libs/rccl-6.3:= <dev-libs/rccl-7.2:= )
-		>=dev-util/hip-6.3:=       <dev-util/hip-7.2:=
-		>=dev-util/roctracer-6.3:= <dev-util/roctracer-7.2:=
-		>=sci-libs/hipBLAS-6.3:=   <sci-libs/hipBLAS-7.2:=[rocsolver(+)]
-		>=sci-libs/hipBLASLt-6.3:= <sci-libs/hipBLASLt-7.2:=
-		>=sci-libs/hipFFT-6.3:=    <sci-libs/hipFFT-7.2:=
-		>=sci-libs/hipRAND-6.3:=   <sci-libs/hipRAND-7.2:=
-		>=sci-libs/hipSOLVER-6.3:= <sci-libs/hipSOLVER-7.2:=
-		>=sci-libs/hipSPARSE-6.3:= <sci-libs/hipSPARSE-7.2:=
-		>=sci-libs/miopen-6.3:=    <sci-libs/miopen-7.2:=
-		>=sci-libs/rocBLAS-6.3:=   <sci-libs/rocBLAS-7.2:=
-		>=sci-libs/rocRAND-6.3:=   <sci-libs/rocRAND-7.2:=
-		>=sci-libs/rocSOLVER-6.3:= <sci-libs/rocSOLVER-7.2:=
-		memefficient? ( sci-libs/aotriton-bin:0/0.11 )
-		distributed? ( >=dev-util/rocm-smi-6.3:= <dev-util/rocm-smi-7.2:= )
-	)
-	distributed? (
-		!rocm? ( sci-ml/tensorpipe[cuda?] )
-		dev-cpp/cpp-httplib:=
-	)
-	xnnpack? (
-		>=sci-ml/XNNPACK-2024.11
-		dev-libs/pthreadpool
-	)
-	mkl? ( sci-libs/mkl )
-	openblas? ( sci-libs/openblas )
-"
-
-DEPEND="
-	${RDEPEND}
-	dev-cpp/nlohmann_json
-	dev-libs/flatbuffers
-	dev-libs/FXdiv
-	dev-libs/pocketfft
-	dev-libs/psimd
-	sci-ml/FP16
-	$(python_gen_cond_dep '
-		dev-python/pybind11[${PYTHON_USEDEP}]
-		dev-python/pyyaml[${PYTHON_USEDEP}]
-		dev-python/typing-extensions[${PYTHON_USEDEP}]
-	')
-	cuda? ( >=dev-libs/cutlass-3.9.2[tools(+)] )
-	onednn? ( sci-ml/ideep )
-	rocm? (
-		>=sci-libs/hipCUB-6.3:=    <sci-libs/hipCUB-7.2:=
-		>=sci-libs/rocPRIM-6.3:=   <sci-libs/rocPRIM-7.2:=
-		>=sci-libs/rocThrust-6.3:= <sci-libs/rocThrust-7.2:=
-	)
-	qnnpack? ( dev-libs/clog )
-"
-
-PATCHES=(
-	"${FILESDIR}"/${PN}-2.5.1-unbundle_fmt.patch
-	"${FILESDIR}"/${PN}-2.5.1-unbundle_kineto.patch
-	"${FILESDIR}"/${PN}-2.8.0-unbundle_pocketfft.patch
-	"${FILESDIR}"/${PN}-2.5.1-cudnn_include_fix.patch
-	"${FILESDIR}"/${P}-gentoo.patch
-	"${FILESDIR}"/${PN}-2.4.0-cpp-httplib.patch
-	"${FILESDIR}"/${PN}-2.5.1-glog-0.6.0.patch
-	"${FILESDIR}"/${PN}-2.5.1-newfix-functorch-install.patch
-	"${FILESDIR}"/${PN}-2.6.0-rocm-fix-std-cpp17.patch
-	"${FILESDIR}"/${PN}-2.7.0-glog-0.7.1.patch
-	"${FILESDIR}"/${PN}-2.7.1-aotriton-fixes.patch
-	"${FILESDIR}"/${PN}-2.8.0-rocm-minus-flash.patch
-	"${FILESDIR}"/${P}-cmake.patch
-	"${FILESDIR}"/${P}-rocm-distributed-link.patch
-)
-
-pkg_setup() {
-	python-single-r1_pkg_setup
-	use cuda && cuda_pkg_setup
-}
-
-src_prepare() {
-	if use cuda && ( use flash || use memefficient ); then
-		mv "${WORKDIR}"/${FLASH_P}/* third_party/${FLASH_PN}/ || die
-	fi
-	filter-lto #bug 862672
-
-	# Unbundle fmt
-	sed -i \
-		-e 's|::fmt-header-only||' \
-		c10/CMakeLists.txt \
-		cmake/Dependencies.cmake \
-		torch/CMakeLists.txt \
-		|| die
-
-	# tensorpipe is in system, not a build target of caffe2
-	sed -e '/target_compile_options_if_supported(tensorpipe/d' -i cmake/Dependencies.cmake || 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 $(get_libdir))|" \
-		c10/cuda/CMakeLists.txt \
-		c10/CMakeLists.txt \
-		c10/hip/CMakeLists.txt \
-		|| die
-
-	# Change libaotriton path
-	sed -i \
-		-e "s|}/lib|}/$(get_libdir)|g" \
-		cmake/External/aotriton.cmake \
-		|| die
-
-	# Noisy warnings from Logging.h
-	sed -i 's/-Wextra-semi//' cmake/public/utils.cmake || die
-
-	cmake_src_prepare
-	pushd torch/csrc/jit/serialization > /dev/null || die
-	flatc --cpp --gen-mutable --scoped-enums mobile_bytecode.fbs || die
-	popd > /dev/null || die
-
-	# 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:$(get_libdir)/cmake:g" \
-			-i cmake/public/LoadHIP.cmake || die
-
-		# TODO: delete, when caffe2 depends on systemwide composable_kernel
-		sed -e "s:third_party/composable_kernel:../composable_kernel-${CK_COMMIT}:g" \
-			-i aten/src/ATen/CMakeLists.txt || die
-
-		# Bug 959808: fix for gfx101x targets
-		pushd "${WORKDIR}/composable_kernel-${CK_COMMIT}" > /dev/null || die
-		eapply "${FILESDIR}"/composable-kernel-7fe50dc-expand-isa.patch
-		popd > /dev/null || die
-
-		if tc-is-clang; then
-			# Systemwide gcc (for absl and at::TensorBase) + hipcc (llvm>=18) need abi-compat=17.
-			# But systemwide clang>=18 + hipcc (>=llvm-18) need opposite!
-			# See also: https://github.com/llvm/llvm-project/issues/102443#issuecomment-2329726287
-			sed -e '/-fclang-abi-compat=17/d' -i cmake/Dependencies.cmake || die
-		fi
-
-		# Workaround for libc++ issue https://github.com/llvm/llvm-project/issues/100802
-		sed -e 's/std::memcpy/memcpy/g' -i torch/headeronly/util/Half.h || die
-
-		# Typo: https://github.com/pytorch/pytorch/pull/166502
-		sed -e 's/gloo_hiop/gloo_hip/' -i cmake/Modules/FindGloo.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_FBGEMM=$(usex fbgemm)
-		-DUSE_FLASH_ATTENTION=$(usex flash)
-		-DUSE_GFLAGS=ON
-		-DUSE_GLOG=ON
-		-DUSE_GLOO=$(usex gloo)
-		-DUSE_ITT=OFF
-		-DUSE_KINETO=ON
-		-DUSE_KLEIDIAI=OFF # TODO
-		-DUSE_MAGMA=OFF # TODO: In GURU as sci-libs/magma
-		-DUSE_MEM_EFF_ATTENTION=$(usex memefficient)
-		-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_NVTX=ON
-		-DUSE_SYSTEM_ONNX=ON
-		-DUSE_SYSTEM_PSIMD=ON
-		-DUSE_SYSTEM_PTHREADPOOL=ON
-		-DUSE_SYSTEM_PYBIND11=ON
-		-DUSE_SYSTEM_SLEEF=ON
-		-DUSE_SYSTEM_XNNPACK=$(usex xnnpack)
-		-DUSE_TENSORPIPE=$(use distributed && use !rocm && echo ON || echo OFF)
-		-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="$(cuda_gccdir -f | tr -d \")"
-			-DUSE_CUSPARSELT=$(usex cusparselt)
-		)
-	elif use rocm; then
-		export PYTORCH_ROCM_ARCH="$(get_amdgpu_flags)"
-
-		if use memefficient; then
-			export AOTRITON_INSTALLED_PREFIX="${ESYSROOT}/usr"
-		fi
-
-		mycmakeargs+=(
-			-DUSE_NCCL=$(usex nccl)
-			-DUSE_SYSTEM_NCCL=ON
-			-DCMAKE_REQUIRE_FIND_PACKAGE_HIP=ON
-	        -DUSE_ROCM_CK_SDPA=OFF # requires flash + aiter, works only on gfx90a/gfx942/gfx950
-		)
-
-		# ROCm libraries produce too much warnings
-		append-cxxflags -Wno-deprecated-declarations -Wno-unused-result -Wno-unused-value
-	fi
-
-	if use onednn; then
-		mycmakeargs+=(
-			-DMKLDNN_FOUND=ON
-			-DMKLDNN_LIBRARIES=dnnl
-			-DMKLDNN_INCLUDE_DIR="${ESYSROOT}/usr/include/oneapi/dnnl"
-		)
-	fi
-
-	cmake_src_configure
-}
-
-src_compile() {
-	PYTORCH_BUILD_VERSION=${PV} \
-	PYTORCH_BUILD_NUMBER=0 \
-	cmake_src_compile
-}
-
-python_install() {
-	python_domodule python/torch
-	mkdir "${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}$(python_get_sitedir)"/torch/include/torch || die # bug 923269
-	ln -s ../../../../../bin/torch_shm_manager \
-		"${D}"/$(python_get_sitedir)/torch/bin/torch_shm_manager || die
-	ln -s ../../../../../$(get_libdir)/libtorch_global_deps.so \
-		"${D}"/$(python_get_sitedir)/torch/lib/libtorch_global_deps.so || die
-}
-
-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_install
-}