diff --git a/paddle/fluid/framework/data_type_test.cc b/paddle/fluid/framework/data_type_test.cc
index 92639dfc611d111cee2c666acc6103be4bed952d..2a380201f297f42dd82a6809bef9a72660066819 100644
--- a/paddle/fluid/framework/data_type_test.cc
+++ b/paddle/fluid/framework/data_type_test.cc
@@ -35,6 +35,6 @@ TEST(DataType, float16) {
   EXPECT_EQ(f::SizeOfType(dtype), 2u);
 
   // test debug info
-  std::string type = "float16";
+  std::string type = "::paddle::platform::float16";
   EXPECT_STREQ(f::DataTypeToString(dtype).c_str(), type.c_str());
 }
diff --git a/paddle/fluid/framework/op_kernel_type_test.cc b/paddle/fluid/framework/op_kernel_type_test.cc
index 3e17a512ce154de88ac890f3b29f03385595d95c..40db85400d2c8776b82ce0fa2fb4deed993b0255 100644
--- a/paddle/fluid/framework/op_kernel_type_test.cc
+++ b/paddle/fluid/framework/op_kernel_type_test.cc
@@ -34,7 +34,8 @@ TEST(OpKernelType, ToString) {
   OpKernelType op_kernel_type2(DataType::FP16, CUDAPlace(0), DataLayout::kNCHW,
                                LibraryType::kCUDNN);
   ASSERT_EQ(paddle::framework::KernelTypeToString(op_kernel_type2),
-            "data_type[float16]:data_layout[NCHW]:place[CUDAPlace(0)]:library_"
+            "data_type[::paddle::platform::float16]:data_layout[NCHW]:place["
+            "CUDAPlace(0)]:library_"
             "type[CUDNN]");
 }
 
diff --git a/paddle/fluid/inference/api/api_impl_tester.cc b/paddle/fluid/inference/api/api_impl_tester.cc
index 191225493c37903c5063ba2680d8c49e94996441..78396397397c3125c3990073d6b2887ebb477ff2 100644
--- a/paddle/fluid/inference/api/api_impl_tester.cc
+++ b/paddle/fluid/inference/api/api_impl_tester.cc
@@ -39,7 +39,7 @@ PaddleTensor LodTensorToPaddleTensor(framework::LoDTensor* t) {
   if (t->type() == framework::proto::VarType::INT64) {
     pt.data.Reset(t->data<void>(), t->numel() * sizeof(int64_t));
     pt.dtype = PaddleDType::INT64;
-  } else if (t->type() == framework::proto::VarType::INT32) {
+  } else if (t->type() == framework::proto::VarType::FP32) {
     pt.data.Reset(t->data<void>(), t->numel() * sizeof(float));
     pt.dtype = PaddleDType::FLOAT32;
   } else {