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llama.cpp/ggml/src
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abhijain1204fujitsu 267ba5a1d9
ggml: aarch64: Implement SVE in Gemm q4_k 8x8 q8_k Kernel (#19132) 
* Updated repack.cpp

* Updated repack.cpp

* Updated repack.cpp

* Added if condition to support only vector length 256.

* Changed the format removed comments and duplicate variable

* If SVE 256 not present then was using generic function to compute, hence slowing the performance. 

So added code if SVE 256 is not present then use NEON code.

* Code format change suggestion

---------

Co-authored-by: Vithule, Prashant <Prashant.Vithule@fujitsu.com>
 		2026-02-16 14:38:43 +08:00
..
ggml-blas ggml : add ggml_build_forward_select (#18550) 2026-01-19 20:03:19 +02:00
ggml-cann CANN: Remove unnecessary wrapper for `gml_backend_buft_is_cann` (#18968) 2026-02-10 14:19:30 +08:00
ggml-cpu ggml: aarch64: Implement SVE in Gemm q4_k 8x8 q8_k Kernel (#19132) 2026-02-16 14:38:43 +08:00
ggml-cuda cuda: optimize iq2xxs/iq2xs/iq3xxs dequantization (#19624) 2026-02-15 22:38:42 +05:30
ggml-hexagon hexagon: further optimizations and refactoring for flash attention (#19583) 2026-02-13 16:27:30 -08:00
ggml-hip HIP: add mmf for CDNA (#18896) 2026-01-29 11:10:53 +01:00
ggml-metal models : optimize qwen3next graph (#19375) 2026-02-14 12:57:36 +02:00
ggml-musa CUDA: faster tile FA, add oob checks, more HSs (#16492) 2025-10-11 20:54:32 +02:00
ggml-opencl opencl: add basic support for q4_1 (#19534) 2026-02-12 14:52:37 -08:00
ggml-rpc rpc : use unordered_map::reserve and emplace (#18513) 2026-01-02 12:09:36 +02:00
ggml-sycl sycl: add F16 support for GGML_OP_CEIL (#19306) 2026-02-06 23:13:44 +08:00
ggml-virtgpu ggml-virtgpu: make the code thread safe (#19204) 2026-02-04 10:46:18 +08:00
ggml-vulkan vulkan: support L2_NORM with contiguous rows (#19604) 2026-02-14 06:42:04 +01:00
ggml-webgpu [WebGPU] Plug memory leaks and free resources on shutdown (#19315) 2026-02-10 08:04:00 -08:00
ggml-zdnn ggml-zdnn : mark zDNN buffers as non-host (#18967) 2026-01-22 01:16:21 +01:00
ggml-zendnn ggml-zendnn : resolve ZenDNN backend cross-module symbol dependency (#19159) 2026-01-29 12:28:57 +08:00
CMakeLists.txt hexagon: enable offloading to Hexagon on Windows on Snapdragon (#19150) 2026-01-29 12:33:21 -08:00
ggml-alloc.c llama: automatically set parameters not set by the user in such a way that maximizes GPU utilization (#16653) 2025-12-15 09:24:59 +01:00
ggml-backend-dl.cpp hexagon: enable offloading to Hexagon on Windows on Snapdragon (#19150) 2026-01-29 12:33:21 -08:00
ggml-backend-dl.h hexagon: enable offloading to Hexagon on Windows on Snapdragon (#19150) 2026-01-29 12:33:21 -08:00
ggml-backend-impl.h llama: use host memory if device reports 0 memory (#18587) 2026-01-09 05:34:56 +08:00
ggml-backend-reg.cpp ggml : use noexcept overload for is_regular_file in backend registration (#19452) 2026-02-10 10:57:48 +01:00
ggml-backend.cpp ggml-backend: fix async set/get fallback sync (#19179) 2026-02-02 10:00:05 +01:00
ggml-common.h llama : add gpt-oss (#15091) 2025-08-05 22:10:36 +03:00
ggml-impl.h ggml : add ggml_build_forward_select (#18550) 2026-01-19 20:03:19 +02:00
ggml-opt.cpp finetune: SGD optimizer, more CLI args (#13873) 2025-08-14 12:03:57 +02:00
ggml-quants.c ggml : fix uninitialized is_on_grid in quantize_row_iq3_xxs_impl (#15928) 2025-09-23 10:25:20 +02:00
ggml-quants.h llama : add gpt-oss (#15091) 2025-08-05 22:10:36 +03:00
ggml-threading.cpp ggml : build backends as libraries (#10256) 2024-11-14 18:04:35 +01:00
ggml-threading.h remove CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS (#10797) 2024-12-12 19:02:49 +01:00
ggml.c ggml : unary ops support non-cont src0 + metal F16 unary ops (#19511) 2026-02-11 18:58:43 +02:00
ggml.cpp ggml : Print backtrace on uncaught C++ exceptions (ggml/1232) 2025-06-01 13:43:57 +03:00
gguf.cpp GGUF: check that tensor size is representable (#19072) 2026-01-24 21:57:51 +01:00