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llama.cpp adds UPSCALE support to hexagon backend

The llama.cpp project has released version b11982, introducing support for the UPSCALE operation within its hexagon backend. This update includes optimizations for nearest and bilinear upscaling, improved handling of non-contiguous rows and dimension collapsing, and the use of vgather for efficiency. Additionally, a permuted UPSCALE test has been added to specifically address scenarios involving Qwen3 VL image-to-text tasks. AI

IMPACT Enhances image upscaling capabilities within the llama.cpp framework, potentially improving performance for multimodal models.

RANK_REASON This is a software release for a specific project, not a frontier model release or significant industry event.

Read on llama.cpp — Releases →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

llama.cpp adds UPSCALE support to hexagon backend

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COVERAGE [1]

  1. llama.cpp — Releases TIER_1 English(EN) · max-krasnyansky ·

    b11982: hexagon: support for UPSCALE op (#31331)

    <ul> <li> <p>hex-upscale: basic upscale ops (not fully vectorized)</p> </li> <li> <p>hex-upscale: optimize nearest 2x, 4x and bilinear 4x</p> </li> <li> <p>hex-upscale: add support for non-contig rows and dims collapsing</p> </li> <li> <p>hex-upscale: use vgather instead of scala…