[NPU]DeepSeek-V3.2 support npu mlaprolog (#15381)

Co-authored-by: Zhengda Qin <zhengdqin@gmail.com>
Co-authored-by: richhuan <huan_rz@qq.com>

python/sglang/srt/hardware_backend/npu/quantization/linear_method_npu.py

@@ -93,8 +93,14 @@ class NPUW8A8Int8DynamicLinearMethod(_NPULinearMethodBase):
         x: torch.Tensor,
         bias: Optional[torch.Tensor] = None,
     ) -> torch.Tensor:
-        original_dtype = x.dtype
-        quant_out, dynamic_scale = torch.ops.npu.npu_dynamic_quant(x)
+
+        if isinstance(x, tuple):
+            """dynamic_scale is calculated in malprolog kernel"""
+            original_dtype = torch.bfloat16
+            quant_out, dynamic_scale = x
+        else:
+            original_dtype = x.dtype
+            quant_out, dynamic_scale = torch.ops.npu.npu_dynamic_quant(x)
         return torch.ops.npu.npu_quant_matmul(
             quant_out,
             layer.weight,