Merge pull request #14827 from YashasSamaga:cuda4dnn-csl-low

[platform/upstream/opencv.git] / modules / dnn / test / test_torch_importer.cpp

diff --git a/modules/dnn/test/test_torch_importer.cpp b/modules/dnn/test/test_torch_importer.cpp
index ddc7f18..5e5ffc6 100644 (file)
--- a/modules/dnn/test/test_torch_importer.cpp
+++ b/modules/dnn/test/test_torch_importer.cpp
@@ -223,6 +223,8 @@ TEST_P(Test_Torch_layers, net_inception_block)
 
 TEST_P(Test_Torch_layers, net_normalize)
 {
+    if(backend == DNN_BACKEND_CUDA)
+        applyTestTag(CV_TEST_TAG_DNN_SKIP_CUDA); /* only L1 and L2 norms are supported */
     runTorchNet("net_normalize", "", false, true);
 }
 
@@ -262,7 +264,7 @@ class Test_Torch_nets : public DNNTestLayer {};
 
 TEST_P(Test_Torch_nets, OpenFace_accuracy)
 {
-#if defined(INF_ENGINE_RELEASE)
+#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2018050000)
     if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
         applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD);
 #endif
@@ -287,8 +289,8 @@ TEST_P(Test_Torch_nets, OpenFace_accuracy)
 
     // Reference output values are in range [-0.17212, 0.263492]
     // on Myriad problem layer: l4_Pooling - does not use pads_begin
-    float l1 = (target == DNN_TARGET_OPENCL_FP16) ? 4e-4 : 1e-5;
-    float lInf = (target == DNN_TARGET_OPENCL_FP16) ? 1.5e-3 : 1e-3;
+    float l1 = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 2e-3 : 1e-5;
+    float lInf = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 5e-3 : 1e-3;
     Mat outRef = readTorchBlob(_tf("net_openface_output.dat"), true);
     normAssert(out, outRef, "", l1, lInf);
 }
@@ -337,9 +339,15 @@ TEST_P(Test_Torch_nets, ENet_accuracy)
 {
     applyTestTag(target == DNN_TARGET_CPU ? "" : CV_TEST_TAG_MEMORY_512MB);
     checkBackend();
-    if (backend == DNN_BACKEND_INFERENCE_ENGINE ||
-        (backend == DNN_BACKEND_OPENCV && target == DNN_TARGET_OPENCL_FP16))
-        applyTestTag(target == DNN_TARGET_OPENCL ? CV_TEST_TAG_DNN_SKIP_IE_OPENCL : CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16);
+    if (backend == DNN_BACKEND_OPENCV && target == DNN_TARGET_OPENCL_FP16)
+        throw SkipTestException("");
+    if (backend == DNN_BACKEND_INFERENCE_ENGINE && target != DNN_TARGET_CPU)
+    {
+        if (target == DNN_TARGET_OPENCL_FP16) applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16);
+        if (target == DNN_TARGET_OPENCL)      applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL);
+        if (target == DNN_TARGET_MYRIAD)      applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD);
+        throw SkipTestException("");
+    }
 
     Net net;
     {