head 1.14; access; symbols pkgsrc-2026Q3:1.13.0.2 pkgsrc-2026Q3-base:1.13; locks; strict; comment @# @; 1.14 date 2026.09.26.09.45.32; author wiz; state Exp; branches; next 1.13; commitid 503fdom2PDeI97XG; 1.13 date 2026.09.12.20.27.32; author wiz; state Exp; branches; next 1.12; commitid ibVyPeNRK3N7anVG; 1.12 date 2026.08.26.10.27.31; author wiz; state Exp; branches; next 1.11; commitid 3qeofor0gXtao8TG; 1.11 date 2026.08.23.07.44.35; author wiz; state Exp; branches; next 1.10; commitid mCs7bcys72WeAJSG; 1.10 date 2026.08.19.09.18.48; author wiz; state Exp; branches; next 1.9; commitid ckcSl6Xwwl8xeeSG; 1.9 date 2026.08.19.08.25.29; author wiz; state Exp; branches; next 1.8; commitid x5j8JEyJeltfWdSG; 1.8 date 2026.08.15.08.04.29; author wiz; state Exp; branches; next 1.7; commitid 6ob0AIG6GRYUWHRG; 1.7 date 2026.08.08.07.14.51; author wiz; state Exp; branches; next 1.6; commitid 2x7bUKr9yCpVTNQG; 1.6 date 2026.08.05.05.35.43; author wiz; state Exp; branches; next 1.5; commitid 3zcBYgQTS9IUrpQG; 1.5 date 2026.08.03.17.14.33; author wiz; state Exp; branches; next 1.4; commitid 73wrtuiTtQaDndQG; 1.4 date 2026.07.19.07.50.48; author wiz; state Exp; branches; next 1.3; commitid CI59o2EqVtd7KeOG; 1.3 date 2026.07.13.14.35.20; author wiz; state Exp; branches; next 1.2; commitid l67bRCoJluAMavNG; 1.2 date 2026.07.13.10.16.36; author wiz; state Exp; branches; next 1.1; commitid aKYNGOWwcy4BJtNG; 1.1 date 2026.07.02.10.58.21; author wiz; state Exp; branches; next ; commitid cgGQYP2SmaYmk4MG; desc @@ 1.14 log @ggml: update to 0.25.3. 0.25.3 A small maintenance release: the core graph size calculation (ggml_graph_nbytes) no longer triggers a UBSan "non-zero offset to null pointer" diagnostic, and the CI setup moves CUDA builds to the hf-jobs runner and adds a new AMD Vulkan build job. 0.25.2 A small point release focused on backend improvements: a new CUDA convolution kernel with an implicit-GEMM fast path, Vulkan fixes and tuning (misalignment handling in convolution shaders and cooperative-matrix support for Adreno GPUs), an optimized DP4A binary kernel for OpenCL Q6_K GEMM, and a precision guard in the Hexagon backend. 0.25.1 A hotfix release focused on the CUDA backend: sparse flash attention, which had been disabled due to a batch-dependent gate, is re-enabled for long-context prefill (up to ~1.4x prefill speedup at 131k context), with the supporting sparse mask scan kernel significantly sped up. Additionally, Metal gains the missing f32 × bf16 matmul kernels (fixing depthwise convolutions with bf16 weights) and its flash-attention tuning tables are now keyed by GPU family instead of individual SKU, while Vulkan adds MMQ/MMV matmul kernels for the IQ4_XS quantization type. 0.25.0 This release expands hyper-connection, flash-attention, and fused MoE/SSM support across CPU, GPU, and accelerator backends. It also improves backend robustness, quantization, data-layout handling, and RPC/meta buffer management. Numerous correctness fixes and performance tuning land across all major backends, including new kernels, fusions, and op coverage. 0.24.0 This release focuses on expanding backend coverage and robustness, with a new precision-control API, major Vulkan/SYCL/Hexagon/OpenCL work, and numerous correctness and performance fixes across CPU, CUDA, Metal, and other backends. @ text @# $NetBSD: Makefile,v 1.13 2026/09/12 20:27:32 wiz Exp $ DISTNAME= ggml-0.25.3 CATEGORIES= math MASTER_SITES= ${MASTER_SITE_GITHUB:=ggml-org/} GITHUB_TAG= v${PKGVERSION_NOREV} MAINTAINER= pkgsrc-users@@NetBSD.org HOMEPAGE= https://github.com/ggml-org/ggml/ COMMENT= Tensor library for machine learning LICENSE= mit USE_TOOLS+= pkg-config USE_LANGUAGES= c c++ USE_CC_FEATURES= c11 USE_CXX_FEATURES= c++17 PKGCONFIG_OVERRIDE+= ggml.pc.in CMAKE_CONFIGURE_ARGS+= -DGGML_BLAS=ON CMAKE_CONFIGURE_ARGS+= -DGGML_BLAS_VENDOR=OpenBLAS CMAKE_CONFIGURE_ARGS+= -DBLAS_LIBRARIES=${CBLAS_LIBS:Q} BLAS_INDEX64= yes BLAS_ACCEPTED= openblas_pthread #openblas_openmp BLAS_C_INTERFACE= yes SUBST_CLASSES+= findblas SUBST_STAGE.findblas= pre-configure SUBST_MESSAGE.findblas= Fixing libpci soname SUBST_FILES.findblas+= src/ggml-blas/CMakeLists.txt SUBST_SED.findblas+= -e 's,DepBLAS openblas64,DepBLAS ${BLAS_PC},' .include "options.mk" .include "../../devel/cmake/build.mk" .include "../../mk/blas.buildlink3.mk" .include "../../mk/bsd.pkg.mk" @ 1.13 log @ggml: update to 0.23.0. Version 0.23.0 adds new operators and backend scheduling APIs for sparse attention, asynchronous execution, and allocation-dependency tracking. It includes broad correctness and performance work across CPU, GPU, and accelerator backends, plus an expanded RPC stack with Apple RDMA support. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.12 2026/08/26 10:27:31 wiz Exp $ d3 1 a3 1 DISTNAME= ggml-0.23.0 @ 1.12 log @ggml: update to 0.22.0. This release adds tensor-split support to the multi-backend (meta) backend with improved split-state propagation, reworks the Metal kernels into per-op sources with parallel compilation, and fixes ggml_clamp to be a proper non-in-place op. It also brings new ops (POOL_1D, PAD_REFLECT_1D), Q2_K SYCL kernels, MoE bias fusion on OpenCL, and assorted fixes across the CUDA, Metal, SYCL, Vulkan, OpenCL and WebGPU backends. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.11 2026/08/23 07:44:35 wiz Exp $ d3 1 a3 1 DISTNAME= ggml-0.22.0 @ 1.11 log @ggml: update to 0.21.0. Changes not found. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.10 2026/08/19 09:18:48 wiz Exp $ d3 1 a3 1 DISTNAME= ggml-0.21.0 @ 1.10 log @ggml: update to 0.20.2. Changes not found. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.9 2026/08/19 08:25:29 wiz Exp $ d3 1 a3 1 DISTNAME= ggml-0.20.2 @ 1.9 log @ggml: update to 0.20.1. No changelog found. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.8 2026/08/15 08:04:29 wiz Exp $ d3 1 a3 1 DISTNAME= ggml-0.20.1 @ 1.8 log @ggml: update to 0.20.0 no summary available @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.7 2026/08/08 07:14:51 wiz Exp $ d3 1 a3 1 DISTNAME= ggml-0.20.0 @ 1.7 log @ggml: update to 0.19.0. No summary found. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.6 2026/08/05 05:35:43 wiz Exp $ d3 1 a3 1 DISTNAME= ggml-0.19.0 @ 1.6 log @ggml: update to 0.18.1. Summary not found. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.5 2026/08/03 17:14:33 wiz Exp $ d3 1 a3 1 DISTNAME= ggml-0.18.1 @ 1.5 log @ggml: update to 0.18.0. Another two weeks of updates. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.4 2026/07/19 07:50:48 wiz Exp $ d3 1 a3 1 DISTNAME= ggml-0.18.0 @ 1.4 log @ggml: update to 0.17.0. No changes summary found. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.3 2026/07/13 14:35:20 wiz Exp $ d3 1 a3 1 DISTNAME= ggml-0.17.0 @ 1.3 log @ggml: remove patch for stable-diffusion.cpp stable-diffusion.cpp uses local copy anyway. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.2 2026/07/13 10:16:36 wiz Exp $ d3 1 a3 2 DISTNAME= ggml-0.16.0 PKGREVISION= 1 @ 1.2 log @ggml: update to 0.16.0. No summary of changes found. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.1 2026/07/02 10:58:21 wiz Exp $ d4 1 @ 1.1 log @math/ggml: import ggml-0.15.3 Tensor library for machine learning ## Features - Low-level cross-platform implementation - Integer quantization support - Broad hardware support - Automatic differentiation - ADAM and L-BFGS optimizers - No third-party dependencies - Zero memory allocations during runtime @ text @d1 1 a1 1 # $NetBSD$ d3 1 a3 1 DISTNAME= ggml-0.15.3 @