Commit Graph
6 Commits
Author SHA1 Message Date
Oleksandr KuvshynovandGitHub a498c75ad1 vulkan: fix GPU deduplication logic. (#19222)
* vulkan: fix GPU deduplication logic.

As reported in https://github.com/ggml-org/llama.cpp/issues/19221, the
(same uuid, same driver) logic is problematic for windows+intel igpu.

Let's just avoid filtering for MoltenVK which is apple-specific, and
keep the logic the  same as before 88d23ad5 - just dedup based on UUID.

Verified that MacOS + 4xVega still reports 4 GPUs with this version.

* vulkan: only skip dedup when both drivers are moltenVk
2026-02-05 09:06:59 +01:00
Oleksandr KuvshynovandGitHub 88d23ad515 vulkan: handle device dedup on MacOS + Vega II Duo cards (#19058)
Deduplication here relied on the fact that vulkan would return unique
UUID for different physical GPUs. It is at the moment not always the case.
On Mac Pro 2019 running Mac OS, with 2 Vega II Duo cards (so, 4 GPU total),
MotlenVK would assign same UUID to pairs of GPUs, unless they
are connected with Infinity Fabric.

See more details here: KhronosGroup/MoltenVK#2683.

The right way is to fix that in MoltenVK, but until it is fixed,
llama.cpp would only recognize 2 of 4 GPUs in such configuration.

The deduplication logic here is changed to only filter GPUs if UUID is
same but driver is different.
2026-01-28 12:35:54 +01:00
Oleksandr KuvshynovandGitHub 408616adbd server : [easy] fix per round speculative decode logging (#18211)
Currently we always log 0, as we clear slot.drafted before.

To reproduce:
Run llama-server with devstral-2 as main model and devstral-2-small as
md, and verbose logging:

```
% ./build/bin/llama-server -v  \
  -m ~/llms/Devstral-2-123B-Instruct-2512-UD-Q6_K_XL-00001-of-00003.gguf \
  -md ~/llms/Devstral-Small-2-24B-Instruct-2512-UD-Q2_K_XL.gguf \
  -c 8192 2> /tmp/llama.cpp.debug

Check the log:

slot update_slots: id  3 | task 0 | accepted 11/0 draft tokens, new
n_tokens = 741
slot update_slots: id  3 | task 0 | accepted 4/0 draft tokens, new
n_tokens = 746
slot update_slots: id  3 | task 0 | accepted 16/0 draft tokens, new
n_tokens = 763
slot update_slots: id  3 | task 0 | accepted 11/0 draft tokens, new
n_tokens = 775
slot update_slots: id  3 | task 0 | accepted 2/0 draft tokens, new
n_tokens = 778
slot update_slots: id  3 | task 0 | accepted 4/0 draft tokens, new
n_tokens = 783
slot update_slots: id  3 | task 0 | accepted 8/0 draft tokens, new
n_tokens = 792
slot update_slots: id  3 | task 0 | accepted 2/0 draft tokens, new
n_tokens = 795
slot update_slots: id  3 | task 0 | accepted 1/0 draft tokens, new
n_tokens = 797
slot update_slots: id  3 | task 0 | accepted 1/0 draft tokens, new
n_tokens = 799
slot update_slots: id  3 | task 0 | accepted 0/0 draft tokens, new
n_tokens = 800
slot update_slots: id  3 | task 0 | accepted 2/0 draft tokens, new
n_tokens = 803
slot update_slots: id  3 | task 0 | accepted 1/0 draft tokens, new
n_tokens = 805
slot update_slots: id  3 | task 0 | accepted 6/0 draft tokens, new
n_tokens = 812
slot update_slots: id  3 | task 0 | accepted 3/0 draft tokens, new
n_tokens = 816
```

After the fix, get correct per round logging:

```
slot update_slots: id  3 | task 0 | accepted 7/8 draft tokens, new
n_tokens = 654
slot update_slots: id  3 | task 0 | accepted 1/2 draft tokens, new
n_tokens = 656
slot update_slots: id  3 | task 0 | accepted 2/16 draft tokens, new
n_tokens = 659
slot update_slots: id  3 | task 0 | accepted 1/16 draft tokens, new
n_tokens = 661
slot update_slots: id  3 | task 0 | accepted 2/16 draft tokens, new
n_tokens = 664
slot update_slots: id  3 | task 0 | accepted 16/16 draft tokens, new
n_tokens = 681
slot update_slots: id  3 | task 0 | accepted 16/16 draft tokens, new
n_tokens = 698
slot update_slots: id  3 | task 0 | accepted 3/4 draft tokens, new
n_tokens = 702
slot update_slots: id  3 | task 0 | accepted 5/12 draft tokens, new
n_tokens = 708
slot update_slots: id  3 | task 0 | accepted 16/16 draft tokens, new
n_tokens = 725
slot update_slots: id  3 | task 0 | accepted 1/1 draft tokens, new
n_tokens = 727
slot update_slots: id  3 | task 0 | accepted 8/16 draft tokens, new
n_tokens = 736
```
2025-12-20 10:57:40 +01:00
Oleksandr KuvshynovandGitHub c5fef0fcea server: update readme to mention n_past_max metric (#16436)
https://github.com/ggml-org/llama.cpp/pull/15361 added new metric
exported, but I've missed this doc.
2025-10-06 10:53:31 +03:00
Oleksandr KuvshynovandGitHub e5155e6986 server : export max observed n_past value (#15361)
Add tracking for high watermark cache usage and make it available in /metrics endpoint.

Use-case: Tracking largest needed cache usage under realistic workload
to better understand memory requirements and be able to adjust
cache size/quantization for model/cache accordingly.
2025-08-18 00:28:58 +02:00
Oleksandr KuvshynovandGitHub e4376270d9 llama.cpp: fix warning message (#11839)
There was a typo-like error, which would print the same number twice if
request is received with n_predict > server-side config.

Before the fix:
```
slot launch_slot_: id  0 | task 0 | n_predict = 4096 exceeds server configuration, setting to 4096
```

After the fix:
```
slot launch_slot_: id  0 | task 0 | n_predict = 8192 exceeds server configuration, setting to 4096
```
2025-02-13 08:25:34 +02:00