【main】SP For Qwen3 MoE (#2209)

### What this PR does / why we need it?
Qwen3 MoE supports SP. In scenarios like AlltoAll, AlltoAllv, and MC2,
replacing AllReduce with Reduce-Scatter and AllGather achieves
computational benefits in norm operations while saving one AllGather
communication. This feature is enabled during the P-phase and delivers
notable gains in long-sequence scenarios (e.g., 16k–25k), with
performance improvements reaching 5%–10%.
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?
``` 
compilation_config={
    "pass_config":{
        "enable_sequence_parallelism": True
    }
},
enable_expert_parallel=True,
```

- vLLM version: v0.10.0
- vLLM main:
9edd1db02b

---------

Signed-off-by: libaokui <libaokui@huawei.com>
Co-authored-by: libaokui <libaokui@huawei.com>

vllm_ascend/worker/model_runner_v1.py

@@ -1160,6 +1160,10 @@ class NPUModelRunner(LoRAModelRunnerMixin):
         with_prefill = attn_state not in [
             AscendAttentionState.DecodeOnly, AscendAttentionState.SpecDecoding
         ]
+
+        is_only_prefill = bool(np.all(num_valid_tokens != 1))
+        extra_builder_kwargs['is_only_prefill'] = is_only_prefill
+
         enable_dbo = self._check_dbo_is_valid(self.query_lens.tolist(),
                                               attn_state,
                                               total_num_scheduled_tokens)