Ascendyh a90482803d [Kernel] add l2norm triton kernel (#4595) ...

### What this PR does / why we need it?
This pull request introduces an L2 normalization kernel implemented in
Triton, specifically optimized for Ascend NPUs.
### Does this PR introduce _any_ user-facing change?
No, this PR does not introduce any user-facing changes.
### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
bc0a5a0c08

---------

Signed-off-by: Ascendyh <hw7osiris@outlook.com>
Co-authored-by: Mengqing Cao <cmq0113@163.com>

2025-12-25 06:06:18 +08:00

..

fused_moe

[Refactor][MoE] Reuse vLLM's all_reduce logic (#5189)

2025-12-23 18:53:48 +08:00

triton

[Kernel] add l2norm triton kernel (#4595)

2025-12-25 06:06:18 +08:00

__init__.py

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

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

activation.py

[refact] unified soc_version code (#4359)

2025-11-26 14:28:55 +08:00

expert_load_balancer.py

eplb redundant expert bugfix (#4291)

2025-11-21 14:24:35 +08:00

layernorm.py

[Graph][Fusion]Add new pattern for AddRmsnormQuant with SP. (#5077)

2025-12-18 20:25:44 +08:00

linear_op.py

[Graph][Fusion]Add new pattern for AddRmsnormQuant with SP. (#5077)

2025-12-18 20:25:44 +08:00

linear.py

Update vllm pin to 12.24 (#5307)

2025-12-24 17:24:31 +08:00

mla.py

upgrade vLLM to main (#4608)

2025-12-02 22:10:52 +08:00

mm_encoder_attention.py

update to vllm 12-19 (#5223)

2025-12-23 23:52:11 +08:00

register_custom_ops.py

[refactor] Remove unnecessary attributes from set_ascend_forward_context (#5204)

2025-12-23 08:49:52 +08:00

rotary_embedding.py

[CustomOp] Register AscendApplyRotaryEmb CustomOp and remove related patch (#4667)

2025-12-23 10:04:37 +08:00

shared_weight_layer.py

[Feat] Flashcomm2 use o_shared linear (#4188)

2025-12-11 12:43:04 +08:00

vocab_parallel_embedding.py

[Feat] Add custom Embedding tensor model parallel (#2616)

2025-12-12 14:41:20 +08:00

weight_prefetch.py

Update torch-npu version to 2.7.1 (#3896)

2025-10-31 17:16:31 +08:00