fix ut

Signed-off-by: wangli <wangli858794774@gmail.com>

Author: Potabk

tests/ut/ops/test_fused_ops.py

@@ -231,6 +231,9 @@ def apply(self, hidden_states: torch.Tensor,
               expert_weights: torch.Tensor) -> torch.Tensor:
         pass
 
+    def get_fused_moe_quant_config(self, layer: torch.nn.Module):
+        pass
+
 
 class TestAscendFusedMoe:
 

tests/ut/torchair/ops/test_torchair_fused_moe.py

@@ -197,6 +197,9 @@ def apply(self, hidden_states: torch.Tensor,
               expert_weights: torch.Tensor) -> torch.Tensor:
         pass
 
+    def get_fused_moe_quant_config(self, layer: torch.nn.Module):
+        pass
+
 
 class TestTorchairAscendFusedMoe:
 

vllm_ascend/quantization/quant_config.py

@@ -343,6 +343,10 @@ def process_weights_after_loading(self, layer: torch.nn.Module) -> None:
         if hasattr(self.quant_method, "process_weights_after_loading"):
             self.quant_method.process_weights_after_loading(layer)
 
+    def get_fused_moe_quant_config(self, layer: torch.nn.Module):
+        # TODO: implement this function
+        pass
+
 
 class AscendEmbeddingMethod(AscendLinearMethod):
     """Embedding method for Ascend quantization.