gh924 6880c1b383 [Feature] Support for cross-attention and whisper model (#5592) ...

### What this PR does / why we need it?
To solve the problem of the
issue：https://github.com/vllm-project/vllm-ascend/issues/2262

- support for cross-attention when the model is encoder-decoder
- support for whisper model

- vLLM version: v0.13.0
- vLLM main:
7157596103

Signed-off-by: gh924 <guihao2@huawei.com>
Co-authored-by: Aoxuan Chen <43376869+chenaoxuan@users.noreply.github.com>

2026-01-11 11:38:45 +08:00

..

test_attention_cp.py

[Refactor]7/N Extract common code to common_cp (#5490)

2026-01-05 17:41:12 +08:00

test_attention_mask.py

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

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

test_attention_v1.py

[Feature] Support for cross-attention and whisper model (#5592)

2026-01-11 11:38:45 +08:00

test_mla_cp.py

[Refactor] Fix AttentionMaskBuilder singleton and remove redundant pcp_prefill_mask (#4870)

2026-01-07 17:09:52 +08:00

test_mla_v1.py

[Refactor] Fix AttentionMaskBuilder singleton and remove redundant pcp_prefill_mask (#4870)

2026-01-07 17:09:52 +08:00

test_sfa_v1.py

[Refactor] Replace the implementations of o_proj, q_b_proj, and kv_b_proj with custom_op for sharded CP (#5698)

2026-01-09 15:58:40 +08:00

utils.py

[refactor](UT,PCP,DCP) refactor pcp&dcp patches in UTs (#5505)

2026-01-05 09:05:45 +08:00