diff --git a/vllm_ascend/eplb/adaptor/vllm_adaptor.py b/vllm_ascend/eplb/adaptor/vllm_adaptor.py
index 7267630..d200fa6 100644
--- a/vllm_ascend/eplb/adaptor/vllm_adaptor.py
+++ b/vllm_ascend/eplb/adaptor/vllm_adaptor.py
@@ -194,15 +194,15 @@ class VllmEplbAdaptor(EplbAdaptor):
                 json.dump(record, f, indent=4)
 
     def do_update_expert_map(self, layer_id, updated_expert_map):
-        self.expert_map_per_layer[layer_id] = updated_expert_map.clone()
-        self.expert_map_per_layer_cpu[layer_id] = updated_expert_map.clone()
+        self.expert_map_per_layer[layer_id].copy_(updated_expert_map)
+        self.expert_map_per_layer_cpu[layer_id].copy_(updated_expert_map)
 
     def do_update_expert_weight(self, layer_id, local_expert_to_replace,
                                 buffer_tensor_id):
         for expert_tensor, buffer_tensor in zip(
                 self.expert_param_per_layer[layer_id][local_expert_to_replace],
                 self.buffer_tensor_list[buffer_tensor_id]):
-            expert_tensor = buffer_tensor.clone()
+            expert_tensor.copy_(buffer_tensor)
             logger.debug(f"Expert tensor shape is :{expert_tensor.shape}")
 
     def do_update_log2phy_map(self, layer_id, updated_log2phy_map):
diff --git a/vllm_ascend/ops/common_fused_moe.py b/vllm_ascend/ops/common_fused_moe.py
index cc2a377..e33835b 100644
--- a/vllm_ascend/ops/common_fused_moe.py
+++ b/vllm_ascend/ops/common_fused_moe.py
@@ -271,7 +271,7 @@ class AscendFusedMoE(FusedMoE):
         return self.expert_map
 
     def get_log2phy_map(self):
-        return self.logical_to_physical_map
+        return self.log2phy
 
     def clear_moe_load(self):
         if self.moe_load is not None:
diff --git a/vllm_ascend/torchair/ops/torchair_fused_moe.py b/vllm_ascend/torchair/ops/torchair_fused_moe.py
index 18b9ceb..7a14ca5 100644
--- a/vllm_ascend/torchair/ops/torchair_fused_moe.py
+++ b/vllm_ascend/torchair/ops/torchair_fused_moe.py
@@ -1392,7 +1392,7 @@ class TorchairAscendFusedMoE(FusedMoE):
         return self.expert_map
 
     def get_log2phy_map(self):
-        return self.logical_to_physical_map
+        return self.log2phy
 
     def clear_moe_load(self):
         if self.moe_load is not None: