fix Sliding Window and Sink Token Support in Unified Kernel#11634
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hebiao064 merged 5 commits intosgl-project:bhe/1_stage_triton_kernelfrom Oct 14, 2025
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Motivation
Current unified kernel's logic for model with sliding window attention and sink tokens is wrong.
This PR is to fix it for sliding window attention and sink tokens model like
gpt-oss-20b.python3 -m sglang.launch_server --model-path /shared/public/elr-models/openai/gpt-oss-20b/6cd4d0ffba39483fe4fb0f5637831f717dafca35/ --attention-backend triton --enable-deterministic-inferenceBefore:
After:
Modifications
Sink Token Fix
The unified deterministic kernel (
_fwd_kernel_unified) had theHAS_SINKparameter defined but wasn't actually using it, causing incorrect softmax computation when sink tokens were present.Sliding Window Fix
The sliding window attention mask was incorrectly comparing unified array indices with absolute sequence positions, leading to incorrect attention masking.
Accuracy Tests
Benchmarking and Profiling
Checklist