diff --git a/python/llm/src/ipex_llm/transformers/models/common.py b/python/llm/src/ipex_llm/transformers/models/common.py
index fece88384b5..75d6a0cea76 100644
--- a/python/llm/src/ipex_llm/transformers/models/common.py
+++ b/python/llm/src/ipex_llm/transformers/models/common.py
@@ -237,40 +237,23 @@ def scaled_dot_product_attention(query: torch.Tensor, key: torch.Tensor,
         mask = prepare_mask(mask, bsz, n_heads, seq_length, kv_length, is_causal, dtype, device)
 
         # compute
-        # import xe_addons
-        # if is_causal:
-        #     if key.dtype == torch.uint8:
-        #         attn_output = xe_addons.sdp_fp8_causal(query, key, value, mask, scale)
-        #     else:
-        #         attn_output = xe_addons.sdp_causal(query, key, value, mask, scale)
-        # elif seq_length != kv_length and seq_length <= 32:
-        #     # todo: add scale support
-        #     if key.dtype == torch.uint8:
-        #         attn_output = xe_addons.sdp_fp8(query, key, value, mask)
-        #     else:
-        #         attn_output = xe_addons.sdp(query, key, value, mask)
-        # else:
-        #     if key.dtype == torch.uint8:
-        #         attn_output = xe_addons.sdp_fp8(query, key, value, mask, scale)
-        #     else:
-        #         attn_output = xe_addons.sdp_non_causal(query, key, value, mask, scale)
-
         import xe_addons
         if is_causal:
             if key.dtype == torch.uint8:
-                attn_output = xe_addons.sdp_fp8_causal(query, key, value, mask)
+                attn_output = xe_addons.sdp_fp8_causal(query, key, value, mask, scale)
             else:
-                attn_output = xe_addons.sdp_causal(query, key, value, mask)
+                attn_output = xe_addons.sdp_causal(query, key, value, mask, scale)
         elif seq_length != kv_length and seq_length <= 32:
+            # todo: add scale support
             if key.dtype == torch.uint8:
                 attn_output = xe_addons.sdp_fp8(query, key, value, mask)
             else:
                 attn_output = xe_addons.sdp(query, key, value, mask)
         else:
             if key.dtype == torch.uint8:
-                attn_output = xe_addons.sdp_fp8_non_causal(query, key, value, mask)
+                attn_output = xe_addons.sdp_fp8_non_causal(query, key, value, mask, scale)
             else:
-                attn_output = xe_addons.sdp_non_causal(query, key, value, mask)
+                attn_output = xe_addons.sdp_non_causal(query, key, value, mask, scale)
 
         return attn_output
     else: