diff --git a/paddle/fluid/inference/tests/api/lite_resnet50_test.cc b/paddle/fluid/inference/tests/api/lite_resnet50_test.cc
index 9ae073e9e5b142254b32396e0355f59ae1826909..d68065553a9cffbade16189d54c004f72100ed55 100644
--- a/paddle/fluid/inference/tests/api/lite_resnet50_test.cc
+++ b/paddle/fluid/inference/tests/api/lite_resnet50_test.cc
@@ -15,6 +15,7 @@ limitations under the License. */
 #include <gflags/gflags.h>
 #include <glog/logging.h>
 #include <gtest/gtest.h>
+
 #include <cmath>
 
 #include "paddle/fluid/inference/tests/api/tester_helper.h"
@@ -49,17 +50,15 @@ TEST(AnalysisPredictor, use_gpu) {
   ASSERT_TRUE(predictor->Run(inputs, &outputs));
 
   const std::vector<float> truth_values = {
-      127.780396f, 738.16656f,  1013.2264f,  -438.17206f, 366.4022f,
-      927.66187f,  736.2241f,   -633.68567f, -329.92737f, -430.15637f,
-      -633.0639f,  -146.54858f, -1324.2804f, -1349.3661f, -242.67671f,
-      117.44864f,  -801.7251f,  -391.51495f, -404.8202f,  454.16132f,
-      515.48206f,  -133.03114f, 69.293076f,  590.09753f,  -1434.6917f,
-      -1070.8903f, 307.0744f,   400.52573f,  -316.12177f, -587.1265f,
-      -161.05742f, 800.3663f,   -96.47157f,  748.708f,    868.17645f,
-      -447.9403f,  112.73656f,  1127.1992f,  47.43518f,   677.7219f,
-      593.1881f,   -336.4011f,  551.3634f,   397.82474f,  78.39835f,
-      -715.4006f,  405.96988f,  404.25684f,  246.01978f,  -8.430191f,
-      131.36617f,  -648.0528f};
+      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);
@@ -108,17 +107,15 @@ TEST(Predictor, use_gpu) {
   output_t->CopyToCpu(out_data.data());
 
   const std::vector<float> truth_values = {
-      127.780396f, 738.16656f,  1013.2264f,  -438.17206f, 366.4022f,
-      927.66187f,  736.2241f,   -633.68567f, -329.92737f, -430.15637f,
-      -633.0639f,  -146.54858f, -1324.2804f, -1349.3661f, -242.67671f,
-      117.44864f,  -801.7251f,  -391.51495f, -404.8202f,  454.16132f,
-      515.48206f,  -133.03114f, 69.293076f,  590.09753f,  -1434.6917f,
-      -1070.8903f, 307.0744f,   400.52573f,  -316.12177f, -587.1265f,
-      -161.05742f, 800.3663f,   -96.47157f,  748.708f,    868.17645f,
-      -447.9403f,  112.73656f,  1127.1992f,  47.43518f,   677.7219f,
-      593.1881f,   -336.4011f,  551.3634f,   397.82474f,  78.39835f,
-      -715.4006f,  405.96988f,  404.25684f,  246.01978f,  -8.430191f,
-      131.36617f,  -648.0528f};
+      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) {