b9893

ggml-org/llama.cppb9893Jul 7, 2026by github-actions[bot]

AI Summary

Focuses on OpenCL flash attention decode performance optimizations with multiple kernel improvements and bug fixes for various quantization formats and model configurations.

Key Highlights

  • OpenCL flash attention decode performance optimizations
  • Fix for DK=512 decode crash in Gemma-4 models
  • Multiquery FA support improvements
  • Split f16-KV decode into finer chunks for better GPU utilization

New Features

  • OpenCL flash attention decode performance improvements
  • DK=512 decode-only program fixes
  • Multiquery FA kernel optimizations

Full Release Notes

<details open>

opencl: general flash attention decode performance optimizations (#25366)

* opencl: vec flash-attention decode kernels for f16/q8_0/q4_0 KV

* opencl: improve non FA KQ mv kernels

* opencl: tweaks for multiquery FA

* opencl: some tweaks for FA q1 kernels

* opencl: FA with DK=DV=512 for gemma-4

* opencl: various fixes

* opencl: cleanup

* opencl: fix FA decode crash for DK=512 (gemma-4)

The DK=512 decode-only program does not create the f32_f16 prefill
kernel, so the compiled check in ensure_fa_variant never hit and
supports_op gave inconsistent answers for the same op. block_n is also
unset for DK=512 decode; guard it to avoid an out-of-range read at
dispatch.

* opencl: run DK=512 FA decode on CPU

DK=512 decode is bandwidth-bound and faster on the CPU than the GPU,
increasingly so with depth. Decline it in supports_op; prefill stays on the GPU.

* opencl: compile MQ_GQA=8 FA kernels in a minimal program

The full program compiled with -D MQ_GQA=8 runs the Adreno compiler out
of memory at DK>=256. Only the vec_mq kernels are used from this
program, so compile it with FA_MQ_ONLY, which excludes everything else.
Also include the program name in the compile error log.

* opencl: remove stray token in flash_attn_f32_f16.cl

A stray "." broke the f32_f16 program build.

* opencl: split f16-KV FA decode finer (FD_KV_PER_SPLIT_F16)

The 2048 default under-fills the GPU on single-query f16-KV decode;
use 512 for f16 KV to get more splits. Quantized KV keeps 2048.

---------

Co-authored-by: Li He <lih@qti.qualcomm.com>

</details>

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