* soft_cap_max: initial CPU version of fused softcap + soft_max
With this vanilla CPU implementation I'm already getting a ~3% speedup
for Gemma-2-9b and a prompt of 8192 tokens.
* soft_cap_max: WIP - something is wrong with CUDA
* soft_cap_max: looks good on CPU and CUDA
* Add softcap to flash attention
Just CPU and CUDA for now (but, as we know, flash attention
on the CPU is useless in llama.cpp).
On CUDA this improves PP performance quite a bit, especially for
long contexts. E.g., for PP-16384, I now get 3777 t/s.
Without this change, one cannot use FA, and one gets 2300 t/s
(after fusing softcap and softmax), or 2000 t/s without the
fused softcap+softmax.
In comparison, mainline llama.cpp has PP-16384 = 1549 t/s before
PR-8542 (where Johannes Gaessler has also added softcap to FA),
and PP-16384 = 3097 t/s after this PR.
* soft_cap_max: Metal
* Flash attention with softcap: Metal
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Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
* Merging mainline - WIP
* Merging mainline - WIP
AVX2 and CUDA appear to work.
CUDA performance seems slightly (~1-2%) lower as it is so often
the case with llama.cpp/ggml after some "improvements" have been made.
* Merging mainline - fix Metal
* Remove check
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Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Kawrakow