diff --git a/lmdeploy/pytorch/kernels/ascend/paged_attention_fwd.py b/lmdeploy/pytorch/kernels/ascend/paged_attention_fwd.py
index eed147b623..c2730ae25b 100644
--- a/lmdeploy/pytorch/kernels/ascend/paged_attention_fwd.py
+++ b/lmdeploy/pytorch/kernels/ascend/paged_attention_fwd.py
@@ -26,7 +26,6 @@ def flash_context_attention(
     for i in range(batch):
         if torch.equal(q_seq_len[i], kv_seq_len[i]):
             ext_ops.context_attention(
-                attn_output,
                 query_states,
                 key_states,
                 value_states,
@@ -35,13 +34,13 @@ def flash_context_attention(
                 num_q_heads,
                 num_kv_heads,
                 context.attention_mask[i:i + 1],
+                attn_output=attn_output,
             )
         else:
             key_cache = key_cache.reshape(1, kv_cache_len, num_kv_heads * dim)
             value_cache = value_cache.reshape(1, kv_cache_len,
                                               num_kv_heads * dim)
             ext_ops.paged_prefill_attention(
-                attn_output,
                 query_states,
                 key_cache,
                 value_cache,
@@ -53,6 +52,7 @@ def flash_context_attention(
                 num_q_heads,
                 num_kv_heads,
                 context.attention_mask[i:i + 1],
+                attn_output=attn_output,
             )
 
 
@@ -60,7 +60,6 @@ def paged_token_attention(q, k_cache, v_cache, attn_output, kv_seq_len,
                           block_offsets, block_size):
     num_kv_heads, num_q_heads = k_cache.shape[1], q.shape[1]
     ext_ops.paged_decode_attention(
-        attn_output.view(q.shape),
         q,
         k_cache,
         v_cache,
@@ -69,6 +68,7 @@ def paged_token_attention(q, k_cache, v_cache, attn_output, kv_seq_len,
         kv_seq_len,
         num_q_heads,
         num_kv_heads,
+        attn_output=attn_output.view(q.shape),
     )