dnn(test): configure filtering for 32-bit systems

modules/dnn/test/test_caffe_importer.cpp

@@ -159,7 +159,11 @@ typedef testing::TestWithParam<tuple<bool, Target> > Reproducibility_AlexNet;
 TEST_P(Reproducibility_AlexNet, Accuracy)
 {
     Target targetId = get<1>(GetParam());
+#if defined(OPENCV_32BIT_CONFIGURATION) && defined(HAVE_OPENCL)
+    applyTestTag(CV_TEST_TAG_MEMORY_2GB);
+#else
     applyTestTag(targetId == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB);
+#endif
     ASSERT_TRUE(ocl::useOpenCL() || targetId == DNN_TARGET_CPU);
 
     bool readFromMemory = get<0>(GetParam());
@@ -637,7 +641,11 @@ INSTANTIATE_TEST_CASE_P(Test_Caffe, opencv_face_detector,
 TEST_P(Test_Caffe_nets, FasterRCNN_vgg16)
 {
     applyTestTag(
+#if defined(OPENCV_32BIT_CONFIGURATION) && defined(HAVE_OPENCL)
+        CV_TEST_TAG_MEMORY_2GB,  // utilizes ~1Gb, but huge blobs may not be allocated on 32-bit systems due memory fragmentation
+#else
         (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_1GB : CV_TEST_TAG_MEMORY_2GB),
+#endif
         CV_TEST_TAG_LONG,
         CV_TEST_TAG_DEBUG_VERYLONG
     );
@@ -662,7 +670,11 @@ TEST_P(Test_Caffe_nets, FasterRCNN_vgg16)
 TEST_P(Test_Caffe_nets, FasterRCNN_zf)
 {
     applyTestTag(
+#if defined(OPENCV_32BIT_CONFIGURATION) && defined(HAVE_OPENCL)
+        CV_TEST_TAG_MEMORY_2GB,
+#else
         (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB),
+#endif
         CV_TEST_TAG_DEBUG_LONG
     );
     if ((backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 ||

modules/dnn/test/test_darknet_importer.cpp

@@ -300,7 +300,14 @@ public:
 
 TEST_P(Test_Darknet_nets, YoloVoc)
 {
-    applyTestTag(CV_TEST_TAG_LONG, CV_TEST_TAG_MEMORY_1GB);
+    applyTestTag(
+#if defined(OPENCV_32BIT_CONFIGURATION) && defined(HAVE_OPENCL)
+        CV_TEST_TAG_MEMORY_2GB,
+#else
+        CV_TEST_TAG_MEMORY_1GB,
+#endif
+        CV_TEST_TAG_LONG
+    );
 
 #if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_GE(2019010000)
     if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && target == DNN_TARGET_OPENCL_FP16)

modules/dnn/test/test_onnx_importer.cpp

@@ -436,7 +436,12 @@ public:
 
 TEST_P(Test_ONNX_nets, Alexnet)
 {
+#if defined(OPENCV_32BIT_CONFIGURATION) && defined(HAVE_OPENCL)
+    applyTestTag(CV_TEST_TAG_MEMORY_2GB);
+#else
     applyTestTag(target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB);
+#endif
+
     const String model =  _tf("models/alexnet.onnx", false);
 
     Net net = readNetFromONNX(model);
@@ -495,7 +500,12 @@ TEST_P(Test_ONNX_nets, Googlenet)
 
 TEST_P(Test_ONNX_nets, CaffeNet)
 {
+#if defined(OPENCV_32BIT_CONFIGURATION) && defined(HAVE_OPENCL)
+    applyTestTag(CV_TEST_TAG_MEMORY_2GB);
+#else
     applyTestTag(target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB);
+#endif
+
 #if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2019030000)
     if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && target == DNN_TARGET_MYRIAD
         && getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X)
@@ -506,7 +516,12 @@ TEST_P(Test_ONNX_nets, CaffeNet)
 
 TEST_P(Test_ONNX_nets, RCNN_ILSVRC13)
 {
+#if defined(OPENCV_32BIT_CONFIGURATION) && defined(HAVE_OPENCL)
+    applyTestTag(CV_TEST_TAG_MEMORY_2GB);
+#else
     applyTestTag(target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB);
+#endif
+
 #if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2019030000)
     if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && target == DNN_TARGET_MYRIAD
         && getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X)