[bugfix] dep ineffective (#4416)

### What this PR does / why we need it?
The expert mapping table and weights of the dynamic EPLB were not
updated, causing the accuracy to be correct but not effective. This bug
has now been fixed.

If it was tested in a way different from regular unit tests, please
clarify how you tested step by step, ideally copy and paste-able, so
that other reviewers can test and check, and descendants can verify in
the future.

Signed-off-by: shenchuxiaofugui <1311027364@qq.com>

Author: shenchuxiaofugui

vllm_ascend/eplb/adaptor/vllm_adaptor.py

@@ -194,15 +194,15 @@ def _export_tensor_to_file(self, expert_maps, expert_map_record_path: str):
                 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):

vllm_ascend/ops/common_fused_moe.py

@@ -271,7 +271,7 @@ def get_map(self):
         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:

vllm_ascend/torchair/ops/torchair_fused_moe.py

@@ -1392,7 +1392,7 @@ def get_map(self):
         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: