§ local-llm · storyline

llama.cpp b9221

llama.cpp build b9221 adds a PAD op HVX kernel for the Hexagon HTP backend, supporting zero-padding and circular padding across all four tensor dimensions.

May 19 · 01:16:57 · primary fetch1 sourceupdated May 19 · 01:16:57

ggml-hexagon: add PAD op HVX kernel (#23078) ggml-hexagon: add PAD op HVX kernel Implements GGML_OP_PAD on the Hexagon HTP backend using HVX vectorized kernels. Supports zero-padding and circular padding across all 4 tensor dimensions. hex-ggml: remove duplicate op cases (merge conflict) hex-pad: fix editorconfig checks and macro alignment --------- Co-authored-by: Max Krasnyansky macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) macOS Intel (x64) iOS XCFramework Linux: Ubuntu x64 (CPU) Ubuntu arm64 (CPU) Ubuntu s390x (CPU) Ubuntu x64 (Vulkan) Ubuntu arm64 (Vulkan) Ubuntu x64 (ROCm 7.2) Ubuntu x64 (OpenVINO) Ubuntu x64 (SYCL FP32) Ubuntu x64 (SYCL FP16) Android: Android arm64 (CPU) Windows: Windows x64 (CPU) Windows arm64 (CPU) Windows x64 (CUDA 12) - CUDA 12.4 DLLs Windows x64 (CUDA 13) - CUDA 13.1 DLLs Windows x64 (Vulkan) Windows x64 (SYCL) Windows x64 (HIP) openEuler: openEuler x86 (310p) openEuler x86 (910b, ACL Graph) openEuler aarch64 (310p) openEuler aarch64 (910b, ACL Graph)

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§ sources2 publications · timeline below

github.comllama.cpp b9221primary01:16:57
github.comllama.cpp b921620:23:20

§ how this story moved

20:23:20primary — llama.cpp — Releases publishes the launch post.
01:16:57llama.cpp — Releases picks up coverage.