diff --git a/paddle/fluid/inference/tests/api/lite_mul_model_test.cc b/paddle/fluid/inference/tests/api/lite_mul_model_test.cc
index 35d20ce34eeee926aa257a595d8153ab67027cf4..0c6b6019c544c68f726b54a88dba0e655a9f7c19 100644
--- a/paddle/fluid/inference/tests/api/lite_mul_model_test.cc
+++ b/paddle/fluid/inference/tests/api/lite_mul_model_test.cc
@@ -47,8 +47,8 @@ int test_main(const AnalysisConfig& config, Barrier* barrier = nullptr) {
   std::vector<PaddleTensor> outputs;
   predictor->Run(inputs, &outputs);
   const std::vector<float> truth_values = {
-      -0.00621776, -0.00620937, 0.00990623,  -0.0039817, -0.00074315,
-      0.61229795,  -0.00491806, -0.00068755, 0.18409646, 0.30090684};
+      -0.00621776f, -0.00620937f, 0.00990623f,  -0.0039817f, -0.00074315f,
+      0.61229795f,  -0.00491806f, -0.00068755f, 0.18409646f, 0.30090684f};
   const size_t expected_size = 1;
   EXPECT_EQ(outputs.size(), expected_size);
   float* data_o = static_cast<float*>(outputs[0].data.data());
diff --git a/paddle/fluid/inference/tests/api/lite_resnet50_test.cc b/paddle/fluid/inference/tests/api/lite_resnet50_test.cc
index a3fd4b4f6de2377ab8d1e19d0c7307d81b64015c..0aea47ae7fab1be3bafe35af575e9a2bea2d8420 100644
--- a/paddle/fluid/inference/tests/api/lite_resnet50_test.cc
+++ b/paddle/fluid/inference/tests/api/lite_resnet50_test.cc
@@ -49,15 +49,17 @@ TEST(AnalysisPredictor, use_gpu) {
   ASSERT_TRUE(predictor->Run(inputs, &outputs));
 
   const std::vector<float> truth_values = {
-      127.780396, 738.16656,  1013.2264,  -438.17206, 366.4022,   927.66187,
-      736.2241,   -633.68567, -329.92737, -430.15637, -633.0639,  -146.54858,
-      -1324.2804, -1349.3661, -242.67671, 117.44864,  -801.7251,  -391.51495,
-      -404.8202,  454.16132,  515.48206,  -133.03114, 69.293076,  590.09753,
-      -1434.6917, -1070.8903, 307.0744,   400.52573,  -316.12177, -587.1265,
-      -161.05742, 800.3663,   -96.47157,  748.708,    868.17645,  -447.9403,
-      112.73656,  1127.1992,  47.43518,   677.7219,   593.1881,   -336.4011,
-      551.3634,   397.82474,  78.39835,   -715.4006,  405.96988,  404.25684,
-      246.01978,  -8.430191,  131.36617,  -648.0528};
+      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};
 
   const size_t expected_size = 1;
   EXPECT_EQ(outputs.size(), expected_size);