diff --git a/cpp-package/example/inception_bn.cpp b/cpp-package/example/inception_bn.cpp
index 6c0754e60d00..5db4f81b0e07 100644
--- a/cpp-package/example/inception_bn.cpp
+++ b/cpp-package/example/inception_bn.cpp
@@ -11,9 +11,6 @@
 
 using namespace mxnet::cpp;
 
-static const Symbol BN_BETA;
-static const Symbol BN_GAMMA;
-
 Symbol ConvFactoryBN(Symbol data, int num_filter,
                      Shape kernel, Shape stride, Shape pad,
                      const std::string & name,
@@ -23,7 +20,12 @@ Symbol ConvFactoryBN(Symbol data, int num_filter,
   Symbol conv = Convolution("conv_" + name + suffix, data,
                             conv_w, conv_b, kernel,
                             num_filter, stride, Shape(1, 1), pad);
-  Symbol bn = BatchNorm("bn_" + name + suffix, conv, Symbol(), Symbol(), Symbol(), Symbol());
+  std::string name_suffix = name + suffix;
+  Symbol gamma(name_suffix + "_gamma");
+  Symbol beta(name_suffix + "_beta");
+  Symbol mmean(name_suffix + "_mmean");
+  Symbol mvar(name_suffix + "_mvar");
+  Symbol bn = BatchNorm("bn_" + name + suffix, conv, gamma, beta, mmean, mvar);
   return Activation("relu_" + name + suffix, bn, "relu");
 }
 
diff --git a/cpp-package/example/resnet.cpp b/cpp-package/example/resnet.cpp
index ace3459d4bd7..5521567e119d 100644
--- a/cpp-package/example/resnet.cpp
+++ b/cpp-package/example/resnet.cpp
@@ -35,9 +35,6 @@ Symbol ConvolutionNoBias(const std::string& symbol_name,
       .CreateSymbol(symbol_name);
 }
 
-static const Symbol BN_BETA;
-static const Symbol BN_GAMMA;
-
 Symbol getConv(const std::string & name, Symbol data,
                int  num_filter,
                Shape kernel, Shape stride, Shape pad,
@@ -48,8 +45,13 @@ Symbol getConv(const std::string & name, Symbol data,
                                   kernel, num_filter, stride, Shape(1, 1),
                                   pad, 1, 512);
 
-  Symbol bn = BatchNorm(name + "_bn", conv, Symbol(), Symbol(), Symbol(),
-                        Symbol(), 2e-5, bn_momentum, false);
+  Symbol gamma(name + "_gamma");
+  Symbol beta(name + "_beta");
+  Symbol mmean(name + "_mmean");
+  Symbol mvar(name + "_mvar");
+
+  Symbol bn = BatchNorm(name + "_bn", conv, gamma,
+                        beta, mmean, mvar, 2e-5, bn_momentum, false);
 
   if (with_relu) {
     return Activation(name + "_relu", bn, "relu");
@@ -109,8 +111,13 @@ Symbol ResNetSymbol(int num_class, int num_level = 3, int num_block = 9,
   Symbol data = Symbol::Variable("data");
   Symbol data_label = Symbol::Variable("data_label");
 
-  Symbol zscore = BatchNorm("zscore", data, Symbol(), Symbol(), Symbol(),
-                            Symbol(), 0.001, bn_momentum);
+  Symbol gamma("gamma");
+  Symbol beta("beta");
+  Symbol mmean("mmean");
+  Symbol mvar("mvar");
+
+  Symbol zscore = BatchNorm("zscore", data, gamma,
+                            beta, mmean, mvar, 0.001, bn_momentum);
 
   Symbol conv = getConv("conv0", zscore, num_filter,
                         Shape(3, 3), Shape(1, 1), Shape(1, 1),