Feng Liu 49838d4bec [Perf] vectorize PCP/DCP loops in attention_cp.py (#4944) ...

### What this PR does / why we need it?
- Add explicit .contiguous() after permute/view to ensure mem-friendly
layout
- Replace nested PCP/DCP Python loops with fully vectorized tensor
operations

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

---------

Signed-off-by: F.Liu <liufeng248@huawei.com>
Co-authored-by: F.Liu <liufeng248@huawei.com>

2025-12-22 11:06:19 +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

[Perf] vectorize PCP/DCP loops in attention_cp.py (#4944)

2025-12-22 11:06:19 +08:00

attention_mask.py

[Model] Support pooling models (#3122)

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

attention_v1.py

[Refactor] remove some metadata variables in attention_v1. (#5160)

2025-12-19 14:57:09 +08:00

mla_cp.py

[Fusion] [Graph] Add qknorm rope fusion operator (#4711)

2025-12-17 08:53:44 +08:00

mla_v1.py

[Refactor] remove some metadata variables in attention_v1. (#5160)

2025-12-19 14:57:09 +08:00

sfa_v1.py

[refactor] refactor weight trans nz and transpose (#4878)

2025-12-19 14:27:24 +08:00

utils.py

[Refactor] remove some metadata variables in attention_v1. (#5160)

2025-12-19 14:57:09 +08:00