test=develop

paddle/fluid/framework/ir/attention_lstm_fuse_pass.cc

@@ -212,11 +212,11 @@ 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_forget_w0.data<float>(), W_input_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_forget_w1.data<float>(), W_input_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++) {
@@ -239,8 +239,8 @@ void PrepareLSTMBias(const LoDTensor& B_forget, const LoDTensor& B_input,
                      const LoDTensor& B_output, const LoDTensor& B_cell,
                      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_forget.data<float>(), B_input.data<float>(), B_output.data<float>(),
+        B_cell.data<float>()};
 
   PADDLE_ENFORCE_EQ(B_forget.dims().size(), 1);
   int D = B_forget.dims()[0];