[Bugfix] Follow vLLM Qwen-Moe/VL and KV Connector change to fix broken CI (#2181)

### What this PR does / why we need it?
This pr fix broken CI:
1. Fix the
ee2eb6ecd8
changes, in this commit, they fused the gate and up projections in the
vision MLP, This can improve performance by reducing one matrix
multiplication. so, this pr do the following things:
- Specify that the two linear layers are fused as `mlp.gate_up_proj`
when loading the weights.
    - Use a SiluAndMul activation function.
2. Fix
aefeea0fde,
Update ModelRunnerOutput parameters to adapt to its changes
3. Fix
[vllm-commit](https://github.com/vllm-project/vllm/pull/20815/files#diff-3ffb829a39ab2b3e4706aa28f5e476815f36c3a87b98d6a66514ebedc8f3ffb4R354-R356),
fix qwen moe
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?


- vLLM version: v0.10.0
- vLLM main:
fed5849d3f

---------

Signed-off-by: wangli <wangli858794774@gmail.com>

vllm_ascend/models/qwen3_moe.py

@@ -100,6 +100,8 @@ class CustomQwen3MoeModel(Qwen3MoeModel):
         cache_config = vllm_config.cache_config
         quant_config = vllm_config.quant_config
 
+        parallel_config = vllm_config.parallel_config
+        self.num_redundant_experts = parallel_config.num_redundant_experts
         self.padding_idx = config.pad_token_id
         self.vocab_size = config.vocab_size
         self.config = config