[Bugfix] fix _get_quant_method of FusedMoE for deepseekV3.2 on non-NV… (#30057)

Signed-off-by: tjp_zju <tanjianpingzju1990@gmail.com>

vllm/model_executor/layers/quantization/moe_wna16.py

@@ -17,6 +17,9 @@ from vllm.model_executor.layers.fused_moe.layer import (
     FusedMoEMethodBase,
     FusedMoeWeightScaleSupported,
 )
+from vllm.model_executor.layers.fused_moe.unquantized_fused_moe_method import (
+    UnquantizedFusedMoEMethod,
+)
 from vllm.model_executor.layers.linear import LinearBase, UnquantizedLinearMethod
 from vllm.model_executor.layers.quantization import QuantizationMethods
 from vllm.model_executor.layers.quantization.base_config import (
@@ -162,6 +165,8 @@ class MoeWNA16Config(QuantizationConfig):
         self, layer: torch.nn.Module, prefix: str
     ) -> Optional["QuantizeMethodBase"]:
         if is_layer_skipped_quant(prefix, self.modules_to_not_convert):
+            if isinstance(layer, FusedMoE):
+                return UnquantizedFusedMoEMethod(layer.moe_config)
             return UnquantizedLinearMethod()
         elif isinstance(layer, LinearBase):
             # Avoid circular import