[Feature] npu support enable_torch_compile for torchair backend (#13410)

Co-authored-by: ZhengdQin <zhengdqin@gmail.com>

python/sglang/srt/layers/rotary_embedding.py

@@ -269,27 +269,22 @@ class RotaryEmbedding(CustomOp):
             fused_set_kv_buffer_arg is None
         ), "fused_set_kv_buffer_arg is not supported for npu implementation"
 
-        if get_bool_env_var("SGLANG_ENABLE_TORCH_COMPILE"):
-            return self.forward_native(
-                positions, query, key, offsets, fused_set_kv_buffer_arg
-            )
-        else:
+        rotary_mode = "half"
+        if self.is_neox_style:
             rotary_mode = "half"
-            if self.is_neox_style:
-                rotary_mode = "half"
-            else:
-                rotary_mode = "interleave"
-            mrope_section = [0, 0, 0]
-            query_out, key_out = torch_npu.npu_mrope(
-                positions,
-                query,
-                key,
-                self.cos_sin_cache,
-                self.head_size,
-                mrope_section=mrope_section,
-                rotary_mode=rotary_mode,
-            )
-            return query_out, key_out
+        else:
+            rotary_mode = "interleave"
+        mrope_section = [0, 0, 0]
+        query_out, key_out = torch_npu.npu_mrope(
+            positions,
+            query,
+            key,
+            self.cos_sin_cache,
+            self.head_size,
+            mrope_section=mrope_section,
+            rotary_mode=rotary_mode,
+        )
+        return query_out, key_out
 
     def forward_cpu(
         self,