Add support for chunked attention (#597) #682
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Cherry-pick of vllm-project@6e1be4e --------- Signed-off-by: Jan Kaniecki <[email protected]> Signed-off-by: Jan Kaniecki <[email protected]> Co-authored-by: Copilot <[email protected]>
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Pull request overview
This PR adds support for chunked attention in the vLLM-Gaudi implementation, cherry-picked from the vllm-gaudi repository. Chunked attention is an optimization technique that processes attention in smaller chunks rather than all at once.
Key changes:
- Added new methods to compute attention bias and block mappings for chunked attention
- Extended attention metadata structures to include chunked attention fields
- Integrated chunked attention support into the model execution pipeline
Reviewed changes
Copilot reviewed 3 out of 3 changed files in this pull request and generated 5 comments.
| File | Description |
|---|---|
| vllm_gaudi/v1/worker/hpu_model_runner.py | Core implementation of chunked attention logic including bias computation, block mapping, and model runner integration |
| vllm_gaudi/v1/attention/backends/hpu_attn.py | Extended decode metadata factory method to accept chunked attention parameters |
| vllm_gaudi/attention/backends/hpu_attn.py | Added chunked attention fields to metadata class and updated forward pass to use chunked attention blocks |
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Signed-off-by: Jan Kaniecki <[email protected]>
✅ CI PassedAll checks passed successfully against the following vllm commit: |
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Cherry-pick of
6e1be4e