diff --git a/paddle/fluid/operators/mkldnn/test_mkldnn_caching.cc b/paddle/fluid/operators/mkldnn/test_mkldnn_caching.cc
index 56971b9443fe29fac4093e74d69be9ceea398f8a..22cf5c457b098975a75e9d85ae0706efd0cc68c1 100644
--- a/paddle/fluid/operators/mkldnn/test_mkldnn_caching.cc
+++ b/paddle/fluid/operators/mkldnn/test_mkldnn_caching.cc
@@ -66,8 +66,7 @@ class CacheTester {
 
 template <typename T>
 void RunOperator(const platform::Place &place, const std::string &op_type,
-                 const framework::DDim &dims, const std::string &output_name,
-                 bool inplace = false) {
+                 const framework::DDim &dims, const std::string &first_input) {
   framework::Scope scope;
 
   std::map<const std::string, int> num_inputs = {{"softmax", 1},
@@ -76,11 +75,10 @@ void RunOperator(const platform::Place &place, const std::string &op_type,
                                                  {"elementwise_add", 2},
                                                  {"elementwise_mul", 2}};
 
-  std::string first_input = inplace == true ? output_name : "x";
-
   std::string first_input_var_name = (op_type == "conv2d") ? "Input" : "X";
   std::string second_input_var_name = (op_type == "conv2d") ? "Filter" : "Y";
   std::string output_var_name = (op_type == "conv2d") ? "Output" : "Out";
+  std::string output_name = "output";
 
   std::vector<InputVars> input_names = {
       {first_input, scope.Var(first_input)->GetMutable<framework::LoDTensor>()},
@@ -134,24 +132,24 @@ void RunOperator(const platform::Place &place, const std::string &op_type,
   pool.Get(place)->Wait();
 }
 
-TEST(test_softmax_reuse_cache, cpu_place) {
+TEST(test_conv2d_reuse_cache, cpu_place) {
   framework::DDim dims({1, 16, 32, 64});
   platform::CPUPlace p;
   CacheTester ct;
-  RunOperator<float>(p, "conv2d", dims, "conv_out");
-  RunOperator<float>(p, "conv2d", dims, "conv_out");
-  PADDLE_ENFORCE_EQ(ct.Analyze(4), true,
+  RunOperator<float>(p, "conv2d", dims, "input_signal");
+  RunOperator<float>(p, "conv2d", dims, "input_signal");
+  PADDLE_ENFORCE_EQ(ct.Analyze(9), true,
                     platform::errors::InvalidArgument(
                         "Wrong number of cached oneDNN objects"));
 }
 
-TEST(test_softmax_noreuse_cache, cpu_place) {
+TEST(test_conv2d_noreuse_cache, cpu_place) {
   framework::DDim dims({1, 16, 32, 64});
   platform::CPUPlace p;
   CacheTester ct;
-  RunOperator<float>(p, "conv2d", dims, "conv_out");
-  RunOperator<float>(p, "conv2d", dims, "conv_out2");
-  PADDLE_ENFORCE_EQ(ct.Analyze(8), true,
+  RunOperator<float>(p, "conv2d", dims, "input_signal");
+  RunOperator<float>(p, "conv2d", dims, "input_signal2");
+  PADDLE_ENFORCE_EQ(ct.Analyze(9), true,
                     platform::errors::InvalidArgument(
                         "Wrong number of cached oneDNN objects"));
 }