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[MM][Model][Perf] Remove Qwen2.5-VL modeling files and add patch for VisionAttention (#4349)

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### What this PR does / why we need it?

- [x] Patch `Qwen2_5_VisionAttention` with
`AscendQwen2_5_VisionAttention`.
- [x] Replace `AscendQwen2_5_VisionTransformer` with
`Qwen2_5_VisionTransformer` in vllm.
- [x] Move padding logic (q/k/v and cos/sin) before FA to `forward()` of
`Qwen2_5_VisionAttention`.
- [x] Covert `cu_seqlens` in `Qwen2_5_VisionAttention` from cumulative
form to intervals and move it to cpu (compatible for npu FA).
- [x] Remove Qwen2.5-VL modeling files.
- [x] Remove Qwen2.5-VL (without padding) modeling files.
- [x] Remove related UT.
- [x] Make `set_forward_context` pluggable when getting MM embedding.
Find more details at https://github.com/vllm-project/vllm/pull/29388.
- [x] Simplify padding logic for FA.
- [x] Add patch for https://github.com/vllm-project/vllm/pull/28798.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

- [x] Functional test (eager mode)
- [x] Functional test (graph mode)
- [x] Benchmark


- vLLM version: v0.11.2

---------

Signed-off-by: shen-shanshan <467638484@qq.com>
This commit is contained in:
Shanshan Shen
2025-11-28 14:23:00 +08:00
committed by GitHub
parent bdc66972db
commit e52ebf8674
9 changed files with 802 additions and 2100 deletions
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2
vllm_ascend/patch/worker/__init__.py
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@@ -27,3 +27,5 @@ import vllm_ascend.patch.worker.patch_roberta # noqa
import vllm_ascend.patch.worker.patch_weight_loader # noqa
import vllm_ascend.patch.worker.patch_multimodal_merge # noqa
import vllm_ascend.patch.worker.patch_minicpm # noqa
import vllm_ascend.patch.worker.patch_qwen2_5_vl # noqa
import vllm_ascend.patch.worker.patch_rope # noqa