add ggml

sci-ml/ggml/Manifest

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+DIST ggml-0.22.0.tar.gz 3767077 BLAKE2B 0ce794cd97a26d42490ee0ce3501ca7a7fc046b1827faeaeb28cdc2b4b01aad2d58d0ba6a2575def7792d9c3226acac43cd4c0839e1cd5143d80f50a87886205 SHA512 61ea7d216c949f0e484f2b4edf1a83226e452079ef0663575c1b2585a2960bc1318bdf64da817a89cbe0b3baa4d7cdec81fe33417d55bb4b2e80428486aebd5a
+EBUILD ggml-0.22.0-r1.ebuild 2480 BLAKE2B f7afb8cb5872666a076f3aae17a1ce2657e49cb88cbffa3957c96ac0ba937c9d08dddb1d4162d24e5567b50b74b349320125e3fd20a863743963c70916cb487e SHA512 5bd16160222b8e4a5db957349f401c41065f73271ea5f536df2d1e3178adbe63b294033285d87fe4bfa3d2c5eee72457acdb7c1d362318a9d02411e58e48d178

sci-ml/ggml/ggml-0.22.0-r1.ebuild

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+# Copyright 2026 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=8
+
+ROCM_VERSION=7.2
+inherit cuda cmake rocm toolchain-funcs
+
+DESCRIPTION="Tensor library for machine learning"
+HOMEPAGE="https://ggml.ai/"
+SRC_URI="https://github.com/ggml-org/${PN}/archive/refs/tags/v${PV}.tar.gz
+	-> ${P}.tar.gz"
+
+LICENSE="MIT"
+SLOT="0/${PV}"
+KEYWORDS="~amd64 ~arm64"
+
+X86_CPU_FLAGS=(
+	avx
+	avx_vnni
+	avx2
+	avx512_bf16
+	avx512bw
+	avx512f
+	avx512vbmi
+	avx512_vnni
+	bmi2
+	fma3
+	f16c
+	sse4_2
+)
+CPU_FLAGS=( "${X86_CPU_FLAGS[@]/#/cpu_flags_x86_}" )
+IUSE="${CPU_FLAGS[*]} cuda openmp rocm test vulkan"
+
+REQUIRED_USE="rocm? ( ${ROCM_REQUIRED_USE} )"
+
+RESTRICT="!test? ( test )"
+
+# Should be >=sci-libs/hipBLAS-${ROCM_VERSION}[${ROCM_USEDEP}]
+# But pkgcheck can't elaborate that
+RDEPEND="
+	cuda? (
+		dev-util/nvidia-cuda-toolkit:=
+	)
+	vulkan? ( media-libs/vulkan-loader )
+	rocm? (
+		>=dev-util/hip-${ROCM_VERSION}
+		>=sci-libs/hipBLAS-${ROCM_VERSION}
+	)
+"
+DEPEND="${RDEPEND}
+	vulkan? ( dev-util/vulkan-headers )
+"
+BDEPEND="vulkan? ( media-libs/shaderc )"
+
+pkg_pretend() {
+	[[ ${MERGE_TYPE} != binary ]] && use openmp && tc-check-openmp
+}
+
+pkg_setup() {
+	[[ ${MERGE_TYPE} != binary ]] && use openmp && tc-check-openmp
+}
+
+src_prepare() {
+	cmake_src_prepare
+
+	if use cuda; then
+		cuda_src_prepare
+	fi
+}
+
+src_configure() {
+	local mycmakeargs=(
+		-DGGML_BACKEND_DL=OFF
+		-DGGML_BUILD_EXAMPLES=OFF
+		-DGGML_NATIVE=OFF
+		-DGGML_HIP_MMQ_MFMA=OFF
+
+		# CPU Flags
+		-DGGML_AVX=$(usex cpu_flags_x86_avx)
+		-DGGML_AVX_VNNI=$(usex cpu_flags_x86_avx_vnni)
+		-DGGML_AVX2=$(usex cpu_flags_x86_avx2)
+		-DGGML_AVX512_BF16=$(usex cpu_flags_x86_avx512_bf16)
+		-DGGML_AVX512_VBMI=$(usex cpu_flags_x86_avx512vbmi)
+		-DGGML_AVX512_VNNI=$(usex cpu_flags_x86_avx512_vnni)
+		-DGGML_BMI2=$(usex cpu_flags_x86_bmi2)
+		-DGGML_FMA=$(usex cpu_flags_x86_fma3)
+		-DGGML_F16C=$(usex cpu_flags_x86_f16c)
+		-DGGML_SSE42=$(usex cpu_flags_x86_sse4_2)
+
+		-DGGML_CUDA=$(usex cuda)
+		-DGGML_OPENMP=$(usex openmp)
+		-DGGML_HIP=$(usex rocm)
+		-DGGML_VULKAN=$(usex vulkan)
+
+		-DGGML_BUILD_TESTS=$(usex test)
+
+		-DGGML_MAX_NAME=160
+	)
+
+	# Enable AVX512 if ANY of the avx512 flags are present
+	if use cpu_flags_x86_avx512f || use cpu_flags_x86_avx512bw; then
+		mycmakeargs+=( -DGGML_AVX512=ON )
+	else
+		mycmakeargs+=( -DGGML_AVX512=OFF )
+	fi
+
+	if use cuda; then
+		cuda_add_sandbox -w
+		addpredict "/dev/char/"
+		cuda_sanitize
+		mycmakeargs+=(
+			-DCMAKE_CUDA_FLAGS="${NVCCFLAGS}"
+		)
+	fi
+
+	cmake_src_configure
+}

sci-ml/ggml/metadata.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE pkgmetadata SYSTEM "https://www.gentoo.org/dtd/metadata.dtd">
+<pkgmetadata>
+	<maintainer type="person">
+		<email>tupone@gentoo.org</email>
+		<name>Tupone Alfredo</name>
+	</maintainer>
+	<use>
+		<flag name="rocm">Enable ROCm gpu computing support</flag>
+	</use>
+	<upstream>
+		<remote-id type="github">ggml-org/ggml</remote-id>
+	</upstream>
+</pkgmetadata>