[Fusion] [Graph]Add Matmul Allreduce Rmsnorm fusion Pass (#5034)

This PR add `MatmulAllreduceRmsnorm` operator and introduces a graph
fusion pass for `matmul_allreduce_rmsnorm` operations. The
implementation includes a new configuration flag, a pattern matching
pass using `torch._inductor.pattern_matcher`.

Co-authored-by: Trunrain [270250579@qq.com](mailto:270250579@qq.com)

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

---------

Signed-off-by: wxsIcey <1790571317@qq.com>
Signed-off-by: tongrunze <t00574058@china.huawei.com>

vllm_ascend/patch/worker/patch_distributed.py

@@ -112,5 +112,10 @@ class GroupCoordinatorPatch(GroupCoordinator):
                                                    gather_dim, scatter_sizes,
                                                    gather_sizes)
 
+    def all_reduce(self, input_):
+        if self.world_size == 1:
+            return input_
+        return torch.ops.vllm.all_reduce(input_, group_name=self.unique_name)
+
 
 vllm.distributed.parallel_state.GroupCoordinator = GroupCoordinatorPatch