Gentoo Packages

# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2

EAPI=8

PYTHON_COMPAT=( python3_{12..14} )
ROCM_VERSION=6.1
inherit python-single-r1 cmake cuda flag-o-matic prefix rocm toolchain-funcs

MYPN=pytorch
MYP=${MYPN}-${PV}

# Build against upstream's pinned composable-kernel revision.
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 kineto memefficient
	mimalloc 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} )
		memefficient? ( flash )
	)
	cusparselt? ( || ( cuda rocm ) )
	flash? ( || ( cuda rocm ) )
	memefficient? ( || ( cuda rocm ) )
	nccl? ( rocm )
"

# FBGEMM 1.7 removed Quantize's LEGACY template argument used by this tree;
# stay on build-verified 1.4. verified 2026-08-07
RDEPEND="
	${PYTHON_DEPS}
	dev-cpp/abseil-cpp:=
	dev-cpp/gflags:=
	>=dev-cpp/glog-0.5.0:=
	>=dev-libs/cpuinfo-2025.11.14
	dev-libs/libfmt:=
	dev-libs/protobuf:=
	dev-libs/sleef
	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-1.4 <sci-ml/FBGEMM-1.5 )
	gloo? ( >=sci-ml/gloo-2025.06.04[cuda?,rocm?] )
	kineto? ( ~sci-ml/kineto-0.4.0_p20260323 )
	mimalloc? ( dev-libs/mimalloc )
	mpi? ( virtual/mpi )
	nnpack? (
		sci-ml/NNPACK
		dev-libs/pthreadpool
	)
	numpy? ( $(python_gen_cond_dep '
		dev-python/numpy[${PYTHON_USEDEP}]
	') )
	onednn? ( sci-ml/oneDNN )
	opencl? ( virtual/opencl )
	qnnpack? (
		sci-ml/gemmlowp
		dev-libs/pthreadpool
	)
	rocm? (
		nccl? ( >=dev-libs/rccl-6.3:= <dev-libs/rccl-7.3:= )
		>=dev-util/hip-6.3:=       <dev-util/hip-7.3:=
		>=dev-util/roctracer-6.3:= <dev-util/roctracer-7.3:=
		>=sci-libs/hipBLAS-6.3:=   <sci-libs/hipBLAS-7.3:=[rocsolver(+)]
		>=sci-libs/hipBLASLt-6.3:= <sci-libs/hipBLASLt-7.3:=
		>=sci-libs/hipFFT-6.3:=    <sci-libs/hipFFT-7.3:=
		>=sci-libs/hipRAND-6.3:=   <sci-libs/hipRAND-7.3:=
		>=sci-libs/hipSOLVER-6.3:= <sci-libs/hipSOLVER-7.3:=
		>=sci-libs/hipSPARSE-6.3:= <sci-libs/hipSPARSE-7.3:=
		>=sci-libs/miopen-6.3:=    <sci-libs/miopen-7.3:=
		>=sci-libs/rocBLAS-6.3:=   <sci-libs/rocBLAS-7.3:=
		>=sci-libs/rocRAND-6.3:=   <sci-libs/rocRAND-7.3:=
		>=sci-libs/rocSOLVER-6.3:= <sci-libs/rocSOLVER-7.3:=
		memefficient? ( =sci-libs/aotriton-bin-0.11*:= )
		distributed? ( >=dev-util/rocm-smi-6.3:= <dev-util/rocm-smi-7.3:= )
		cusparselt? ( >=sci-libs/hipsparselt-6.3:= <sci-libs/hipsparselt-7.3:= )
	)
	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
	$(python_gen_cond_dep '
		<dev-python/pybind11-3.0.2[${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-7.3:=
		>=sci-libs/rocPRIM-6.3:=   <sci-libs/rocPRIM-7.3:=
		>=sci-libs/rocThrust-6.3:= <sci-libs/rocThrust-7.3:=
	)
	qnnpack? ( dev-libs/clog )
"

PATCHES=(
	"${FILESDIR}"/${PN}-2.5.1-unbundle_fmt.patch.xz
	"${FILESDIR}"/${PN}-2.5.1-unbundle_kineto.patch.xz
	"${FILESDIR}"/${PN}-2.8.0-unbundle_pocketfft.patch.xz
	"${FILESDIR}"/${PN}-2.5.1-cudnn_include_fix.patch.xz
	"${FILESDIR}"/${PN}-2.4.0-cpp-httplib.patch.xz
	"${FILESDIR}"/${PN}-2.5.1-glog-0.6.0.patch.xz
	"${FILESDIR}"/${P}-rocm-fix-std-cpp17.patch.xz
	"${FILESDIR}"/${PN}-2.7.0-glog-0.7.1.patch.xz
	"${FILESDIR}"/${PN}-2.7.1-aotriton-fixes.patch.xz
	"${FILESDIR}"/${PN}-2.8.0-rocm-minus-flash.patch.xz
	"${FILESDIR}"/${PN}-2.9.0-cmake.patch.xz
	"${FILESDIR}"/${PN}-2.9.0-rocm-distributed-link.patch.xz
	"${FILESDIR}"/${PN}-2.9.1-torch_cpu.patch.xz
	"${FILESDIR}"/${PN}-2.10.0-gentoo.patch.xz
	"${FILESDIR}"/${P}-mimalloc.patch.xz
	"${FILESDIR}"/${P}-removekineto-pr178960.patch.xz
	# gcc-15 -Wtemplate-body rejects typename decltype(...)::difference_type in
	# template bodies during CUDA .cu compilation; use std::ptrdiff_t instead.
	# verified 2026-06-02
	"${FILESDIR}"/${P}-list-inl-gcc15.patch.xz

	# Remove MKL cluster libs from the public link interface and force GNU OpenMP
	# so downstreams need neither Cluster Edition nor libiomp5. verified 2026-05-08
	"${FILESDIR}"/${P}-mkl-public-scrub.patch.xz
)

src_prepare() {
	# Decompress patches into T because eapply cannot read xz payloads.
	local p b i
	mkdir "${T}"/patches || die
	for p in "${FILESDIR}"/*.patch.xz; do
		b=${p##*/}
		xz -dc "${p}" > "${T}/patches/${b%.xz}" || die
	done
	for i in "${!PATCHES[@]}"; do
		b=${PATCHES[i]##*/}
		PATCHES[i]="${T}/patches/${b%.xz}"
	done

	if use cuda && ( use flash || use memefficient ); then
		mv "${WORKDIR}"/${FLASH_P}/* third_party/${FLASH_PN}/ || die
	fi
	filter-lto #bug 862672

	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

	sed -i \
		-e '/add_subdirectory.*third_party/d' \
		CMakeLists.txt \
		cmake/Dependencies.cmake \
		cmake/ProtoBuf.cmake \
		aten/src/ATen/CMakeLists.txt \
		|| die
	sed -i \
		-e "/EXPORT/s|DESTINATION lib)|DESTINATION $(get_libdir))|" \
		c10/cuda/CMakeLists.txt \
		c10/CMakeLists.txt \
		c10/hip/CMakeLists.txt \
		|| die

	sed -i \
		-e "s|}/lib|}/\${CMAKE_INSTALL_LIBDIR}|g" \
		-e "/set(__AOTRITON_LIB/s|lib/|\${CMAKE_INSTALL_LIBDIR}/|g" \
		cmake/External/aotriton.cmake \
		|| die

	# Logging.h is incompatible with -Wextra-semi.
	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

	# Prefix hardcoded paths after applying patches.
	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

		# Drop when composable-kernel becomes a system dependency.
		sed -e "s:third_party/composable_kernel:../composable_kernel-${CK_COMMIT}:g" \
			-i aten/src/ATen/CMakeLists.txt || die

		# Fix gfx101x targets. bug #959808
		pushd "${WORKDIR}/composable_kernel-${CK_COMMIT}" > /dev/null || die
		eapply "${T}"/patches/composable-kernel-7fe50dc-expand-isa.patch
		popd > /dev/null || die

		if tc-is-clang; then
			# A Clang-only toolchain must not inherit GCC's ABI-17 workaround.
			# https://github.com/llvm/llvm-project/issues/102443#issuecomment-2329726287
			sed -e '/-fclang-abi-compat=17/d' -i cmake/Dependencies.cmake || die
		fi

		# Work around LLVM issue https://github.com/llvm/llvm-project/issues/100802.
		sed -e 's/std::memcpy/memcpy/g' -i torch/headeronly/util/Half.h || die

		ebegin "HIPifying cuda sources"
		FBCODE_BUILD_TOOL="buck" ${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_TEST=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=$(usex kineto)
		# KleidiAI and MAGMA are not packaged.
		-DUSE_KLEIDIAI=OFF
		-DUSE_MAGMA=OFF
		-DUSE_MEM_EFF_ATTENTION=$(usex memefficient)
		-DUSE_MIMALLOC=$(usex mimalloc)
		-DUSE_MKLDNN=$(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=$(usex distributed $(usex !rocm))
		-DUSE_UCC=OFF
		-DUSE_VALGRIND=OFF
		-DUSE_XNNPACK=$(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
		# Permit CUDA device probing in the sandbox (bugs #867706, #926116).
		cuda_add_sandbox
		addpredict "/dev/char/"

		mycmakeargs+=(
			-DUSE_CUDNN=ON
			-DTORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-3.5 7.0}"
			-DUSE_NCCL=OFF # CUDA NCCL is not packaged; nccl controls RCCL.
			-DCMAKE_CUDA_FLAGS="$(cuda_gccdir -f | tr -d \")"
			-DUSE_CUSPARSELT=$(usex cusparselt)
		)

		[[ -v CUDACXX ]] && export PYTORCH_NVCC="${CUDACXX}"

		if use flash; then
			export FLASH_ATTENTION_FORCE_BUILD="TRUE"
			export FLASH_ATTN_CUDA_ARCHS="${CUDAARCHS:-${TORCH_CUDA_ARCH_LIST:-3.5 7.0}}"
		fi

	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=$(usex nccl)
			-DUSE_SYSTEM_NCCL=ON
			-DCMAKE_REQUIRE_FIND_PACKAGE_HIP=ON
			-DCMAKE_DISABLE_FIND_PACKAGE_hipsparselt=$(usex !cusparselt) # disable automagic
			-DUSE_ROCM_CK_SDPA=OFF # requires flash + aiter, works only on gfx90a/gfx942/gfx950
		)

		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

	# pytorch reuses this configuration.
	insinto "/var/lib/${PN}"
	doins "${BUILD_DIR}"/CMakeCache.txt

	rm -rf python
	mkdir -p python/torch || die
	cp torch/version.py python/torch/ || die
	python_install
}