lianyibo e32014ac1d [Model] Support pooling models (#3122) ...

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

Support pooling models (like `bge-reranker-v2-m3`) in vllm-ascend, this
pr covered the three model types of embed (cls_token, mean_token,
lasttoken).

After this
[commit](17373dcd93),
vllm has provided support for adapting pooling models on the v1 engine.
This PR includes corresponding adaptations on the vllm-ascend side.

Fixes #1960

- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c

---------

Signed-off-by: lianyibo <lianyibo1@kunlunit.com>
Signed-off-by: MengqingCao <cmq0113@163.com>
Co-authored-by: MengqingCao <cmq0113@163.com>

2025-12-10 11:37:57 +08:00

..

__init__.py

[Core] Make V1 work and enable V1 engine test (#389)

2025-03-28 19:34:23 +08:00

attention_cp.py

[Refactor] 1/N Refactor attention_v1 & extract attention_cp (#4628)

2025-12-06 09:33:28 +08:00

attention_mask.py

[Model] Support pooling models (#3122)

2025-12-10 11:37:57 +08:00

attention_v1.py

[Model] Support pooling models (#3122)

2025-12-10 11:37:57 +08:00

mla_v1.py

Drop torchair (#4814)

2025-12-10 09:20:40 +08:00

sfa_v1.py

Drop torchair (#4814)

2025-12-10 09:20:40 +08:00

utils.py

[Refactor] 2/N Unify all mask generation methods and cache mask (#4779)

2025-12-09 18:51:00 +08:00