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potential fix for: #25960

@mgoin
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mgoin commented Oct 1, 2025

Verified it does work right before capture

vllm serve RedHatAI/Llama-4-Scout-17B-16E-Instruct-quantized.w4a16 --load-format dummy --max-model-len 32K
...
(EngineCore_DP0 pid=2401224) WARNING 10-01 12:23:25 [gpu_model_runner.py:3772] CUDAGraphMode.FULL_AND_PIECEWISE is not supported with ChunkedLocalAttentionBuilder backend (support: AttentionCGSupport.NEVER); setting cudagraph_mode=PIECEWISE because attention is compiled piecewise
Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 100%|██████████████████████████████████████████████████████████████████████████████| 67/67 [00:07<00:00,  8.85it/s]
(EngineCore_DP0 pid=2401224) INFO 10-01 12:23:33 [gpu_model_runner.py:3583] Graph capturing finished in 8 secs, took 0.52 GiB

@mgoin mgoin marked this pull request as ready for review October 1, 2025 16:25
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Thanks for the better approach

@mgoin mgoin added bug Something isn't working ready ONLY add when PR is ready to merge/full CI is needed llama Related to Llama models labels Oct 1, 2025
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cjackal commented Oct 1, 2025

I wonder if this PR has a chance to be cherry-picked for 0.11.0? If so, I'd like to note that there's another llama 4 performance bugfix at #25889 which would be cherry-picked together.

@tlrmchlsmth tlrmchlsmth added this to the v0.11.0 Cherry Picks milestone Oct 1, 2025
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mgoin commented Oct 1, 2025

Hybrid test failures are also on main, merging

@vllm-bot vllm-bot merged commit 4134312 into vllm-project:main Oct 1, 2025
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