[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/layers/attention/nsa/nsa_indexer.py

@@ -1113,6 +1113,7 @@ class Indexer(MultiPlatformOp):
         positions: torch.Tensor,
         forward_batch: ForwardBatch,
         layer_id: int,
+        dynamic_scale: torch.Tensor = None,
     ) -> torch.Tensor:
         if forward_batch.attn_backend.forward_metadata.seq_lens_cpu_int is None:
             actual_seq_lengths_kv = forward_batch.attn_backend.forward_metadata.seq_lens
@@ -1136,6 +1137,9 @@ class Indexer(MultiPlatformOp):
         if self.alt_stream is not None:
             self.alt_stream.wait_stream(torch.npu.current_stream())
             with torch.npu.stream(self.alt_stream):
+                q_lora = (
+                    (q_lora, dynamic_scale) if dynamic_scale is not None else q_lora
+                )
                 q = self.wq_b(q_lora)[
                     0
                 ]  # [bs, 1536] @ [1536, 64 * 128] = [bs, 64 * 128]
@@ -1154,6 +1158,7 @@ class Indexer(MultiPlatformOp):
                 q.record_stream(self.alt_stream)
                 q_rope_event = self.alt_stream.record_event()
         else:
+            q_lora = (q_lora, dynamic_scale) if dynamic_scale is not None else q_lora
             q = self.wq_b(q_lora)[0]  # [bs, 1536] @ [1536, 64 * 128] = [bs, 64 * 128]
             q = q.view(bs, self.n_heads, self.head_dim)  # [bs, 64, 128]
             q_pe, q_nope = torch.split(