dnn(test): update test tags for Debug build

modules/dnn/test/test_backends.cpp

@@ -110,7 +110,10 @@ TEST_P(DNNTestNetwork, AlexNet)
 
 TEST_P(DNNTestNetwork, ResNet_50)
 {
-    applyTestTag(target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB);
+    applyTestTag(
+        (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB),
+        CV_TEST_TAG_DEBUG_LONG
+    );
     processNet("dnn/ResNet-50-model.caffemodel", "dnn/ResNet-50-deploy.prototxt",
                Size(224, 224), "prob",
                target == DNN_TARGET_OPENCL ? "dnn/halide_scheduler_opencl_resnet_50.yml" :
@@ -344,7 +347,10 @@ TEST_P(DNNTestNetwork, opencv_face_detector)
 
 TEST_P(DNNTestNetwork, Inception_v2_SSD_TensorFlow)
 {
-    applyTestTag(target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB);
+    applyTestTag(
+        (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB),
+        CV_TEST_TAG_DEBUG_LONG
+    );
 #if defined(INF_ENGINE_RELEASE)
     if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD
             && getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X)
@@ -382,6 +388,8 @@ TEST_P(DNNTestNetwork, DenseNet_121)
 
 TEST_P(DNNTestNetwork, FastNeuralStyle_eccv16)
 {
+    applyTestTag(CV_TEST_TAG_MEMORY_512MB, CV_TEST_TAG_DEBUG_VERYLONG);
+
     if (backend == DNN_BACKEND_HALIDE ||
         (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD))
         throw SkipTestException("");

modules/dnn/test/test_caffe_importer.cpp

@@ -114,6 +114,9 @@ TEST_P(Reproducibility_AlexNet, Accuracy)
 {
     Target targetId = get<1>(GetParam());
     applyTestTag(targetId == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB);
+    if (!ocl::useOpenCL() && targetId != DNN_TARGET_CPU)
+        throw SkipTestException("OpenCL is disabled");
+
     bool readFromMemory = get<0>(GetParam());
     Net net;
     {
@@ -154,7 +157,8 @@ INSTANTIATE_TEST_CASE_P(/**/, Reproducibility_AlexNet, Combine(testing::Bool(),
 
 TEST(Reproducibility_FCN, Accuracy)
 {
-    applyTestTag(CV_TEST_TAG_LONG, CV_TEST_TAG_MEMORY_2GB);
+    applyTestTag(CV_TEST_TAG_LONG, CV_TEST_TAG_DEBUG_VERYLONG, CV_TEST_TAG_MEMORY_2GB);
+
     Net net;
     {
         const string proto = findDataFile("dnn/fcn8s-heavy-pascal.prototxt", false);
@@ -183,7 +187,7 @@ TEST(Reproducibility_FCN, Accuracy)
 
 TEST(Reproducibility_SSD, Accuracy)
 {
-    applyTestTag(CV_TEST_TAG_MEMORY_512MB);
+    applyTestTag(CV_TEST_TAG_MEMORY_512MB, CV_TEST_TAG_DEBUG_LONG);
     Net net;
     {
         const string proto = findDataFile("dnn/ssd_vgg16.prototxt", false);
@@ -281,6 +285,9 @@ TEST_P(Reproducibility_ResNet50, Accuracy)
 {
     Target targetId = GetParam();
     applyTestTag(targetId == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB);
+    if (!ocl::useOpenCL() && targetId != DNN_TARGET_CPU)
+        throw SkipTestException("OpenCL is disabled");
+
     Net net = readNetFromCaffe(findDataFile("dnn/ResNet-50-deploy.prototxt", false),
                                findDataFile("dnn/ResNet-50-model.caffemodel", false));
 
@@ -541,7 +548,11 @@ INSTANTIATE_TEST_CASE_P(Test_Caffe, opencv_face_detector,
 
 TEST_P(Test_Caffe_nets, FasterRCNN_vgg16)
 {
-    applyTestTag(CV_TEST_TAG_LONG, (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_1GB : CV_TEST_TAG_MEMORY_2GB));
+    applyTestTag(
+        (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_1GB : CV_TEST_TAG_MEMORY_2GB),
+        CV_TEST_TAG_LONG,
+        CV_TEST_TAG_DEBUG_VERYLONG
+    );
 
 #if defined(INF_ENGINE_RELEASE)
     if (backend == DNN_BACKEND_INFERENCE_ENGINE && (target == DNN_TARGET_OPENCL || target == DNN_TARGET_OPENCL_FP16))
@@ -559,7 +570,10 @@ TEST_P(Test_Caffe_nets, FasterRCNN_vgg16)
 
 TEST_P(Test_Caffe_nets, FasterRCNN_zf)
 {
-    applyTestTag(target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB);
+    applyTestTag(
+        (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB),
+        CV_TEST_TAG_DEBUG_LONG
+    );
     if ((backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_OPENCL_FP16) ||
         (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD))
         throw SkipTestException("");
@@ -571,7 +585,11 @@ TEST_P(Test_Caffe_nets, FasterRCNN_zf)
 
 TEST_P(Test_Caffe_nets, RFCN)
 {
-    applyTestTag(CV_TEST_TAG_LONG, (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_2GB));
+    applyTestTag(
+        (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_2GB),
+        CV_TEST_TAG_LONG,
+        CV_TEST_TAG_DEBUG_VERYLONG
+    );
     if ((backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_OPENCL_FP16) ||
         (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD))
         throw SkipTestException("");

modules/dnn/test/test_onnx_importer.cpp

@@ -343,7 +343,7 @@ TEST_P(Test_ONNX_nets, VGG16_bn)
 
 TEST_P(Test_ONNX_nets, ZFNet)
 {
-    applyTestTag(target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB);
+    applyTestTag(CV_TEST_TAG_MEMORY_2GB);
     testONNXModels("zfnet512", pb);
 }
 
@@ -418,7 +418,10 @@ TEST_P(Test_ONNX_nets, MobileNet_v2)
 
 TEST_P(Test_ONNX_nets, LResNet100E_IR)
 {
-    applyTestTag(target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB);
+    applyTestTag(
+        (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB),
+        CV_TEST_TAG_DEBUG_LONG
+    );
     if (backend == DNN_BACKEND_INFERENCE_ENGINE &&
          (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_OPENCL || target == DNN_TARGET_MYRIAD))
         throw SkipTestException("");

modules/dnn/test/test_tf_importer.cpp

@@ -437,7 +437,12 @@ TEST_P(Test_TensorFlow_nets, MobileNet_v1_SSD)
 
 TEST_P(Test_TensorFlow_nets, Faster_RCNN)
 {
-    applyTestTag(CV_TEST_TAG_LONG, (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_1GB : CV_TEST_TAG_MEMORY_2GB));  // FIXIT split test
+    // FIXIT split test
+    applyTestTag(
+        (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_1GB : CV_TEST_TAG_MEMORY_2GB),
+        CV_TEST_TAG_LONG,
+        CV_TEST_TAG_DEBUG_VERYLONG
+    );
     static std::string names[] = {"faster_rcnn_inception_v2_coco_2018_01_28",
                                   "faster_rcnn_resnet50_coco_2018_01_28"};
 
@@ -535,7 +540,10 @@ TEST_P(Test_TensorFlow_nets, opencv_face_detector_uint8)
 // np.save('east_text_detection.geometry.npy', geometry)
 TEST_P(Test_TensorFlow_nets, EAST_text_detection)
 {
-    applyTestTag(target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB);
+    applyTestTag(
+        (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB),
+        CV_TEST_TAG_DEBUG_LONG
+    );
 
 #if defined(INF_ENGINE_RELEASE)
     if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
@@ -765,7 +773,7 @@ TEST(Test_TensorFlow, two_inputs)
 
 TEST(Test_TensorFlow, Mask_RCNN)
 {
-    applyTestTag(CV_TEST_TAG_MEMORY_1GB);
+    applyTestTag(CV_TEST_TAG_MEMORY_1GB, CV_TEST_TAG_DEBUG_VERYLONG);
     std::string proto = findDataFile("dnn/mask_rcnn_inception_v2_coco_2018_01_28.pbtxt", false);
     std::string model = findDataFile("dnn/mask_rcnn_inception_v2_coco_2018_01_28.pb", false);