[CI] Upgrade to newest pta.(MLA and FusedMoE) (#189)

Upgrade to newest pta.(MLA and FusedMoE)

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Signed-off-by: SidaoY <1024863041@qq.com>

vllm_ascend/ops/fused_moe.py

@@ -50,10 +50,9 @@ def group_topk(hidden_states: torch.Tensor,
 
     topk_group = 0 if topk_group is None else topk_group
     num_expert_group = 0 if num_expert_group is None else num_expert_group
-    torch_npu.npu_group_topk(input=scores,
-                             out=scores,
-                             group_num=num_expert_group,
-                             k=topk_group)
+    torch_npu._npu_group_topk(self=scores,
+                              k=topk_group,
+                              group_num=num_expert_group)
     if e_score_correction_bias is not None:
         topk_ids = torch.topk(scores, k=topk, dim=-1, sorted=False)[1]
         # Use original unbiased scores for the routing weights