[Attention] Register FLASHMLA_SPARSE#26441
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LucasWilkinson merged 1 commit intovllm-project:mainfrom Oct 8, 2025
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Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
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This pull request correctly registers the FLASHMLA_SPARSE attention backend. The changes are consistent with the existing structure for registering backends. I've reviewed the modifications in vllm/attention/backends/registry.py and vllm/v1/attention/backends/mla/flashmla_sparse.py and found no issues of high or critical severity. The new enum member and its corresponding entry in BACKEND_MAP are correctly added, and the name of the backend in get_name is now consistent with its registration key in-tree conventions.
yewentao256
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LGTM, thanks for the work!
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…to loader * 'loader' of https://github.com/dsxsteven/vllm_splitPR: (778 commits) [torchao] Add support for ModuleFqnToConfig using regex (vllm-project#26001) Add: Support for multiple hidden layers in Eagle3 (vllm-project#26164) Enable `RMSNorm` substitution for Transformers backend (vllm-project#26353) [Model] Gemma3: Fix GGUF loading and quantization (vllm-project#26189) Bump Flashinfer to v0.4.0 (vllm-project#26326) Update Dockerfile and install runai-model-streamer[gcs] package (vllm-project#26464) [Core] Relax the LoRA max rank (vllm-project#26461) [CI/Build] Fix model nightly tests (vllm-project#26466) [Hybrid]: Decouple Kernel Block Size from KV Page Size (vllm-project#24486) [Core][KVConnector] Propagate all tokens on resumed preemptions (vllm-project#24926) [MM][Doc] Add documentation for configurable mm profiling (vllm-project#26200) [Hardware][AMD] Enable FlexAttention backend on ROCm (vllm-project#26439) [Bugfix] Incorrect another MM data format in vllm bench throughput (vllm-project#26462) [Bugfix] Catch and log invalid token ids in detokenizer #2 (vllm-project#26445) [Minor] Change warning->warning_once in preprocess (vllm-project#26455) [Bugfix] Set the minimum python version for gpt-oss (vllm-project#26392) [Misc] Redact ray runtime env before logging (vllm-project#26302) Separate MLAAttention class from Attention (vllm-project#25103) [Attention] Register FLASHMLA_SPARSE (vllm-project#26441) [Kernels] Modular kernel refactor (vllm-project#24812) ...
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Signed-off-by: Matthew Bonanni <mbonanni@redhat.com> Signed-off-by: Dhruvil Bhatt <bhattdbh@amazon.com>
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Signed-off-by: Matthew Bonanni <mbonanni@redhat.com> Signed-off-by: 0xrushi <6279035+0xrushi@users.noreply.github.com>
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Signed-off-by: Matthew Bonanni <mbonanni@redhat.com> Signed-off-by: 0xrushi <6279035+0xrushi@users.noreply.github.com>
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Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
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Purpose
Add
FLASHMLA_SPARSEto the backend registryTest Plan
CI should suffice
Test Result
Essential Elements of an Effective PR Description Checklist
supported_models.mdandexamplesfor a new model.