diff --git a/vllm_ascend/eplb/core/eplb_utils.py b/vllm_ascend/eplb/core/eplb_utils.py
index 4920de30..aa681249 100644
--- a/vllm_ascend/eplb/core/eplb_utils.py
+++ b/vllm_ascend/eplb/core/eplb_utils.py
@@ -104,7 +104,6 @@ def generate_log2phy_map(global_expert_map, ep_rank):
     for rankid, map_per_rank in enumerate(global_expert_map):
         for idx, val in enumerate(map_per_rank):
             val = val.item()
-            # 计算value：当前值 + i * 有效元素个数
             if val != -1:
                 log2phy_map[idx].append(val + rankid * valid_count)
 
diff --git a/vllm_ascend/ops/fused_moe/fused_moe.py b/vllm_ascend/ops/fused_moe/fused_moe.py
index daaca8b9..23f327d3 100644
--- a/vllm_ascend/ops/fused_moe/fused_moe.py
+++ b/vllm_ascend/ops/fused_moe/fused_moe.py
@@ -180,7 +180,7 @@ class AscendFusedMoE(FusedMoE):
                              or ascend_config.expert_map_record_path) and (
                                  self.log2phy is not None)
         self.local_num_experts = (torch.sum(
-            self._expert_map != -1) if self._expert_map is not None else
+            self._expert_map != -1).item() if self._expert_map is not None else
                                   self.global_num_experts)
         if self._expert_map is not None:
             logger.info_once(
diff --git a/vllm_ascend/ops/fused_moe/token_dispatcher.py b/vllm_ascend/ops/fused_moe/token_dispatcher.py
index aeb751d0..e17b033e 100644
--- a/vllm_ascend/ops/fused_moe/token_dispatcher.py
+++ b/vllm_ascend/ops/fused_moe/token_dispatcher.py
@@ -335,7 +335,9 @@ class TokenDispatcherWithAllGather(MoETokenDispatcher):
         super().__init__(**kwargs)
         self.apply_router_weight_on_input = False
         self.max_num_tokens = kwargs.get("max_num_tokens")
-        self.num_experts_local = kwargs.get("num_local_experts", 0)
+        num_experts_local = kwargs.get("num_local_experts", 0)
+        self.num_experts_local = num_experts_local.item() if torch.is_tensor(
+            num_experts_local) else int(num_experts_local)
         self.original_shape = None
         self.with_quant = False