diff --git a/dlib/test/dnn.cpp b/dlib/test/dnn.cpp
index 005035cd1..5893e1160 100644
--- a/dlib/test/dnn.cpp
+++ b/dlib/test/dnn.cpp
@@ -154,7 +154,7 @@ namespace
     {
         using namespace dlib::tt;
         print_spinner();
-        resizable_tensor src(5,5), gamma(1,5), beta(1,5), dest, dest2, means, vars, gradient_input(5,5);
+        resizable_tensor src(5,5), gamma(1,5), beta(1,5), dest, dest2, dest3, means, vars, gradient_input(5,5);
         src = matrix_cast<float>(gaussian_randm(5,5, 0));
         gamma = matrix_cast<float>(gaussian_randm(1,5, 1));
         beta = matrix_cast<float>(gaussian_randm(1,5, 2));
@@ -171,6 +171,8 @@ namespace
         running_variances = mat(running_variances)/scale; 
         batch_normalize_inference(dest2, src, gamma, beta, running_means, running_variances);
         DLIB_TEST_MSG(max(abs(mat(dest2)-mat(dest))) < 1e-5, max(abs(mat(dest2)-mat(dest))));
+        cpu::batch_normalize_inference(dest3, src, gamma, beta, running_means, running_variances);
+        DLIB_TEST_MSG(max(abs(mat(dest3)-mat(dest))) < 1e-5, max(abs(mat(dest3)-mat(dest))));
 
 
         auto grad_src = [&](long idx) {
@@ -237,7 +239,7 @@ namespace
     {
         using namespace dlib::tt;
         print_spinner();
-        resizable_tensor src(5,5,4,4), gamma(1,5), beta(1,5), dest, dest2, means, vars, gradient_input(5,5,4,4);
+        resizable_tensor src(5,5,4,4), gamma(1,5), beta(1,5), dest, dest2, dest3, means, vars, gradient_input(5,5,4,4);
         src = matrix_cast<float>(gaussian_randm(5,5*4*4, 0));
         gamma = matrix_cast<float>(gaussian_randm(1,5, 1));
         beta = matrix_cast<float>(gaussian_randm(1,5, 2));
@@ -255,6 +257,8 @@ namespace
         running_variances = mat(running_variances)/scale; 
         batch_normalize_conv_inference(dest2, src, gamma, beta, running_means, running_variances);
         DLIB_TEST(max(abs(mat(dest2)-mat(dest))) < 1e-5);
+        cpu::batch_normalize_conv_inference(dest3, src, gamma, beta, running_means, running_variances);
+        DLIB_TEST(max(abs(mat(dest3)-mat(dest))) < 1e-5);
 
 
         auto grad_src = [&](long idx) {
@@ -1233,6 +1237,7 @@ namespace
             test_avg_pool(3,3,2,2);
             test_avg_pool(2,2,2,2);
             test_avg_pool(4,5,3,1);
+            test_avg_pool(100,100,100,100);
             test_tanh();
             test_softmax();
             test_sigmoid();