diff --git a/paddle/fluid/inference/tests/api/lite_resnet50_test.cc b/paddle/fluid/inference/tests/api/lite_resnet50_test.cc
index da5f0b0dea0d835c0eb122c318fb8e0382d090d7..d68065553a9cffbade16189d54c004f72100ed55 100644
--- a/paddle/fluid/inference/tests/api/lite_resnet50_test.cc
+++ b/paddle/fluid/inference/tests/api/lite_resnet50_test.cc
@@ -50,14 +50,15 @@ TEST(AnalysisPredictor, use_gpu) {
   ASSERT_TRUE(predictor->Run(inputs, &outputs));
 
   const std::vector<float> truth_values = {
-      127.779,  738.165,  1013.22,  -438.17,  366.401,  927.659,  736.222,
-      -633.684, -329.927, -430.155, -633.062, -146.548, -1324.28, -1349.36,
-      -242.675, 117.448,  -801.723, -391.514, -404.818, 454.16,   515.48,
-      -133.031, 69.293,   590.096,  -1434.69, -1070.89, 307.074,  400.525,
-      -316.12,  -587.125, -161.056, 800.363,  -96.4708, 748.706,  868.174,
-      -447.938, 112.737,  1127.2,   47.4355,  677.72,   593.186,  -336.4,
-      551.362,  397.823,  78.3979,  -715.398, 405.969,  404.256,  246.019,
-      -8.42969, 131.365,  -648.051};
+      127.779f,  738.165f,  1013.22f,  -438.17f,  366.401f,  927.659f,
+      736.222f,  -633.684f, -329.927f, -430.155f, -633.062f, -146.548f,
+      -1324.28f, -1349.36f, -242.675f, 117.448f,  -801.723f, -391.514f,
+      -404.818f, 454.16f,   515.48f,   -133.031f, 69.293f,   590.096f,
+      -1434.69f, -1070.89f, 307.074f,  400.525f,  -316.12f,  -587.125f,
+      -161.056f, 800.363f,  -96.4708f, 748.706f,  868.174f,  -447.938f,
+      112.737f,  1127.2f,   47.4355f,  677.72f,   593.186f,  -336.4f,
+      551.362f,  397.823f,  78.3979f,  -715.398f, 405.969f,  404.256f,
+      246.019f,  -8.42969f, 131.365f,  -648.051f};
 
   const size_t expected_size = 1;
   EXPECT_EQ(outputs.size(), expected_size);
@@ -106,14 +107,15 @@ TEST(Predictor, use_gpu) {
   output_t->CopyToCpu(out_data.data());
 
   const std::vector<float> truth_values = {
-      127.779,  738.165,  1013.22,  -438.17,  366.401,  927.659,  736.222,
-      -633.684, -329.927, -430.155, -633.062, -146.548, -1324.28, -1349.36,
-      -242.675, 117.448,  -801.723, -391.514, -404.818, 454.16,   515.48,
-      -133.031, 69.293,   590.096,  -1434.69, -1070.89, 307.074,  400.525,
-      -316.12,  -587.125, -161.056, 800.363,  -96.4708, 748.706,  868.174,
-      -447.938, 112.737,  1127.2,   47.4355,  677.72,   593.186,  -336.4,
-      551.362,  397.823,  78.3979,  -715.398, 405.969,  404.256,  246.019,
-      -8.42969, 131.365,  -648.051};
+      127.779f,  738.165f,  1013.22f,  -438.17f,  366.401f,  927.659f,
+      736.222f,  -633.684f, -329.927f, -430.155f, -633.062f, -146.548f,
+      -1324.28f, -1349.36f, -242.675f, 117.448f,  -801.723f, -391.514f,
+      -404.818f, 454.16f,   515.48f,   -133.031f, 69.293f,   590.096f,
+      -1434.69f, -1070.89f, 307.074f,  400.525f,  -316.12f,  -587.125f,
+      -161.056f, 800.363f,  -96.4708f, 748.706f,  868.174f,  -447.938f,
+      112.737f,  1127.2f,   47.4355f,  677.72f,   593.186f,  -336.4f,
+      551.362f,  397.823f,  78.3979f,  -715.398f, 405.969f,  404.256f,
+      246.019f,  -8.42969f, 131.365f,  -648.051f};
 
   float* data_o = out_data.data();
   for (size_t j = 0; j < out_num; j += 10) {