[BugFix][mian] Fixed a triton kernel bug of layer_norm_fwd_kernel for Qwen3-next (#3549)
### What this PR does / why we need it?
Fixes triton kernel **layer_norm_fwd_kernel**, descripted by
https://github.com/vllm-project/vllm-ascend/issues/3548
### Does this PR introduce _any_ user-facing change?
N/A
### How was this patch tested?
The environment is same with this issue,
https://github.com/vllm-project/vllm-ascend/issues/3548.
Starts a vllm server with:
```shell
vllm serve /home/model/Qwen3-Next-80B-A3B-Instruct --port 22 --host 0.0.0.0 --served-model-name qwen3_next_mtp_0 --tensor-parallel-size 4 --max-model-len 32000 --gpu-memory-utilization 0.7 --enforce-eager
```
The, we start an aisbench clinet like:
```shell
ais_bench --models vllm_api_general_chat --datasets ceval_gen_0_shot_cot_chat_prompt --dump-eval-details
```
Whose config is:
```python
# a big batch_size and a large max_out_len
dict(
abbr='vllm-api-general-chat',
attr='service',
batch_size=512,
generation_kwargs=dict(temperature=0.7, top_k=20, top_p=0.8),
host_ip='xxx.xxx.xxx.xxx',
host_port=8881,
max_out_len=30000,
model='qwen3_next_mtp_0',
path='',
pred_postprocessor=dict(
type=
'ais_bench.benchmark.utils.model_postprocessors.extract_non_reasoning_content'
),
request_rate=0,
retry=2,
trust_remote_code=False,
type='ais_bench.benchmark.models.VLLMCustomAPIChat'),
```
**Results:**
```text
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 01:44:05 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 72.1 tokens/s, Running: 7 reqs, Waiting: 1 reqs, GPU KV cache usage: 98.3%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 01:44:15 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 72.1 tokens/s, Running: 7 reqs, Waiting: 1 reqs, GPU KV cache usage: 100.0%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 01:44:25 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 71.4 tokens/s, Running: 7 reqs, Waiting: 1 reqs, GPU KV cache usage: 100.0%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 01:44:35 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 49.6 tokens/s, Running: 6 reqs, Waiting: 2 reqs, GPU KV cache usage: 86.1%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 01:44:45 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 59.8 tokens/s, Running: 6 reqs, Waiting: 2 reqs, GPU KV cache usage: 88.2%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 01:44:55 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 61.2 tokens/s, Running: 6 reqs, Waiting: 2 reqs, GPU KV cache usage: 88.2%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 01:45:05 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 61.8 tokens/s, Running: 6 reqs, Waiting: 2 reqs, GPU KV cache usage: 88.2%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 01:45:15 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 62.4 tokens/s, Running: 6 reqs, Waiting: 2 reqs, GPU KV cache usage: 90.8%, Prefix cache hit rate: 0.0%
```
We can see when we sent a bunch of requests and the **KV cache usage
reaches 100.0%**.
We won't get a **coreDim=xxx can't be greater than UINT16_MAX.**
Exception.
```text
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 02:17:35 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 30.6 tokens/s, Running: 3 reqs, Waiting: 5 reqs, GPU KV cache usage: 98.3%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 02:17:45 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 30.3 tokens/s, Running: 3 reqs, Waiting: 5 reqs, GPU KV cache usage: 99.6%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 02:17:55 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 30.6 tokens/s, Running: 3 reqs, Waiting: 5 reqs, GPU KV cache usage: 99.6%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 02:18:05 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 30.9 tokens/s, Running: 3 reqs, Waiting: 5 reqs, GPU KV cache usage: 99.6%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 02:18:15 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 22.7 tokens/s, Running: 2 reqs, Waiting: 6 reqs, GPU KV cache usage: 81.9%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO: 141.61.39.105:48568 - "POST /v1/chat/completions HTTP/1.1" 200 OK
^[[1;36m(APIServer pid=615544)^[[0;0m INFO: 141.61.39.105:48580 - "POST /v1/chat/completions HTTP/1.1" 200 OK
```
And after a few minutes, these two requests have been done.
```text
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 03:18:25 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 6.2 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 40.8%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 03:18:35 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 6.2 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 40.8%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 03:18:45 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 6.3 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 40.8%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 03:18:55 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 6.2 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 40.8%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 03:19:05 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 6.2 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 40.8%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 03:19:15 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 6.2 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 41.2%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO: 141.61.39.105:48712 - "POST /v1/chat/completions HTTP/1.1" 200 OK
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 03:19:25 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.8 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0%
^[[1;36m(APIServer pid=615544)^[[0;0m INFO 10-21 03:19:35 [loggers.py:127] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0%
```
Finally, all requests are done.
- vLLM version: v0.11.0rc3
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.0
Signed-off-by: drslark <slarksblood@qq.com>
534f32d27c