[DeepSeek] Fix DeepSeek V3.2 Rope Embedding (#28968)

Signed-off-by: Yongye Zhu <zyy1102000@gmail.com>

vllm/model_executor/layers/mla.py

@@ -24,6 +24,7 @@ class MLAModules:
     q_b_proj: torch.nn.Module | None
     q_proj: torch.nn.Module | None
     indexer: torch.nn.Module | None
+    indexer_rotary_emb: torch.nn.Module | None
     is_sparse: bool
     topk_indices_buffer: torch.Tensor | None
 
@@ -80,6 +81,7 @@ class MultiHeadLatentAttentionWrapper(CustomOp):
         self.rotary_emb = mla_modules.rotary_emb
         self.o_proj = mla_modules.o_proj
         self.indexer = mla_modules.indexer
+        self.indexer_rope_emb = mla_modules.indexer_rotary_emb
         self.is_sparse = mla_modules.is_sparse
 
         if self.indexer is not None:
@@ -153,7 +155,9 @@ class MultiHeadLatentAttentionWrapper(CustomOp):
             )
 
         if self.indexer and self.is_sparse:
-            _topk_indices = self.indexer(hidden_states, q_c, positions, self.rotary_emb)
+            _topk_indices = self.indexer(
+                hidden_states, q_c, positions, self.indexer_rope_emb
+            )
 
         attn_out = self.mla_attn(
             q,