diff --git a/paddle/fluid/framework/ir/attention_lstm_fuse_pass.cc b/paddle/fluid/framework/ir/attention_lstm_fuse_pass.cc
index c82bbda57e1f727eeb95658880184065f17634ce..5cb37ea925afe60cb000499d390c9be0c398cb2e 100644
--- a/paddle/fluid/framework/ir/attention_lstm_fuse_pass.cc
+++ b/paddle/fluid/framework/ir/attention_lstm_fuse_pass.cc
@@ -217,10 +217,10 @@ void PrepareLSTMWeight(const LoDTensor& W_forget_w0,
   float* out_data = out->mutable_data<float>(platform::CPUPlace());
   std::array<const float*, 4> tensors(
       {{W_forget_w0.data<float>(), W_input_w0.data<float>(),
-       W_output_w0.data<float>(), W_cell_w0.data<float>()}});
+        W_output_w0.data<float>(), W_cell_w0.data<float>()}});
   std::array<const float*, 4> tensors1(
       {{W_forget_w1.data<float>(), W_input_w1.data<float>(),
-       W_output_w1.data<float>(), W_cell_w1.data<float>()}});
+        W_output_w1.data<float>(), W_cell_w1.data<float>()}});
 
   for (int row = 0; row < D; row++) {
     for (int col = 0; col < 4; col++) {
@@ -244,7 +244,7 @@ void PrepareLSTMBias(const LoDTensor& B_forget, const LoDTensor& B_input,
                      LoDTensor* out) {
   std::array<const float*, 4> tensors(
       {{B_forget.data<float>(), B_input.data<float>(), B_output.data<float>(),
-       B_cell.data<float>()}});
+        B_cell.data<float>()}});
 
   PADDLE_ENFORCE_EQ(B_forget.dims().size(), 1);
   int D = B_forget.dims()[0];