Merge pull request #16715 from l-bat:slice_onnx

* Support Slice layer with multiple inputs

* Add test

* Supported Resize from PyTorch

* Rewrite test

* Remove Cast layer (supported in #16735)

* Support ConstantOfShape

* Fix tests

* Fix coments

* Remove useless condition

* Fixed failed tests

modules/dnn/test/test_onnx_importer.cpp

@@ -57,8 +57,13 @@ public:
         net.setPreferableBackend(backend);
         net.setPreferableTarget(target);
 
+        std::vector<String> inputNames;
         for (int i = 0; i < numInps; ++i)
-            net.setInput(inps[i], numInps > 1 ? format("%d", i) : "");
+            inputNames.push_back(format("%d", i));
+        net.setInputsNames(inputNames);
+
+        for (int i = 0; i < numInps; ++i)
+            net.setInput(inps[i], inputNames[i]);
         Mat out = net.forward("");
 
         if (useSoftmax)
@@ -166,6 +171,11 @@ TEST_P(Test_ONNX_layers, Clip)
     testONNXModels("clip", npy);
 }
 
+TEST_P(Test_ONNX_layers, Shape)
+{
+    testONNXModels("shape_of_constant");
+}
+
 TEST_P(Test_ONNX_layers, ReduceMean)
 {
     testONNXModels("reduce_mean");
@@ -347,6 +357,11 @@ TEST_P(Test_ONNX_layers, Broadcast)
     testONNXModels("channel_broadcast", npy, 0, 0, false, true, 2);
 }
 
+TEST_P(Test_ONNX_layers, DynamicResize)
+{
+    testONNXModels("dynamic_resize", npy, 0, 0, false, true, 2);
+}
+
 TEST_P(Test_ONNX_layers, Div)
 {
     const String model =  _tf("models/div.onnx");
@@ -375,10 +390,8 @@ TEST_P(Test_ONNX_layers, Div)
 TEST_P(Test_ONNX_layers, DynamicReshape)
 {
     if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019)
-    {
-        if (target == DNN_TARGET_OPENCL_FP16) applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16, CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER);
-        if (target == DNN_TARGET_OPENCL)      applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL, CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER);
-    }
+        applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER);
+
     testONNXModels("dynamic_reshape");
     testONNXModels("dynamic_reshape_opset_11");
     testONNXModels("flatten_by_prod");
@@ -418,6 +431,7 @@ TEST_P(Test_ONNX_layers, Slice)
     testONNXModels("slice", npy, 0, 0, false, false);
 #else
     testONNXModels("slice");
+    testONNXModels("slice_opset_11");
 #endif
 }