[XPU][bugfix] fix rope for llama4 and deepseek

Signed-off-by: Yan Ma <yan.ma@intel.com>

Author: yma11

vllm/model_executor/layers/rotary_embedding/deepseek_scaling_rope.py

@@ -146,11 +146,5 @@ def forward_native(
             key = key_rot
         return query, key
 
-    def forward_cuda(
-        self,
-        positions: torch.Tensor,
-        query: torch.Tensor,
-        key: torch.Tensor | None = None,
-        offsets: torch.Tensor | None = None,
-    ) -> tuple[torch.Tensor, torch.Tensor | None]:
-        return self.forward_native(positions, query, key, offsets)
+    forward_cuda = forward_native
+    forward_xpu = forward_native

vllm/model_executor/layers/rotary_embedding/llama4_vision_rope.py

@@ -72,16 +72,6 @@ def forward_native(  # type: ignore[override]
         key_out = torch.view_as_real(key_ * freqs_ci).flatten(3)
         return query_out.type_as(query), key_out.type_as(key)
 
-    def forward_cuda(  # type: ignore[override]
-        self,
-        query: torch.Tensor,
-        key: torch.Tensor | None = None,
-    ) -> tuple[torch.Tensor, torch.Tensor | None]:
-        return self.forward_native(query, key)
-
-    def forward_hip(  # type: ignore[override]
-        self,
-        query: torch.Tensor,
-        key: torch.Tensor | None = None,
-    ) -> tuple[torch.Tensor, torch.Tensor | None]:
-        return self.forward_native(query, key)
+    forward_cuda = forward_native
+    forward_hip = forward_native
+    forward_xpu = forward_native