diff --git a/modules/dnn/test/test_torch_importer.cpp b/modules/dnn/test/test_torch_importer.cpp
index d83c203a2814d061a1ceeee59ef1da1a31de5902..8c894ae7d95166419f8df55e4718acd9b9e5bc0d 100644
--- a/modules/dnn/test/test_torch_importer.cpp
+++ b/modules/dnn/test/test_torch_importer.cpp
@@ -169,7 +169,7 @@ TEST(Torch_Importer, run_deconv)
 
 TEST(Torch_Importer, run_batch_norm)
 {
-    runTorchNet("net_batch_norm");
+    runTorchNet("net_batch_norm", DNN_TARGET_CPU, "", false, true);
 }
 
 TEST(Torch_Importer, net_prelu)
diff --git a/samples/dnn/resnet_ssd_face_python.py b/samples/dnn/resnet_ssd_face_python.py
index 922dd9b58356be2ad413a2c95623be3b1176885c..f7d88ece4b1e6a68db0ce808fa6ca9d8a3f9de46 100644
--- a/samples/dnn/resnet_ssd_face_python.py
+++ b/samples/dnn/resnet_ssd_face_python.py
@@ -24,7 +24,7 @@ if __name__ == '__main__':
         cols = frame.shape[1]
         rows = frame.shape[0]
 
-        net.setInput(dnn.blobFromImage(frame, 1.0, (inWidth, inHeight), (104.0, 177.0, 123.0), False))
+        net.setInput(dnn.blobFromImage(frame, 1.0, (inWidth, inHeight), (104.0, 177.0, 123.0), False, False))
         detections = net.forward()
 
         perf_stats = net.getPerfProfile()