Update attention.py

ktransformers/operators/attention.py

@@ -435,6 +435,7 @@ class KDeepseekV2Attention(BaseInjectedModule, DeepseekV2Attention):
                     kv_len_arr = torch.tensor([position_ids[0, -1].item()+1], dtype=torch.int32, device=self.device)
                     self.mla_wrapper.plan(qo_indptr,None,None,
                                         kv_len_arr,
+                                        None,
                                         self.num_heads,
                                         self.kv_lora_rank,
                                         self.qk_rope_head_dim,
@@ -849,4 +850,4 @@ class flashinfer_attn(BaseInjectedModule, DeepseekV2Attention):
         attn_output = attn_output.transpose(0, 1)
         attn_output = attn_output.reshape(q_len, self.num_heads * self.v_head_dim)
         attn_output = self.o_proj(attn_output, num_tokens_tensors)
-        return attn_output
\ No newline at end of file
+        return attn_output