Fix dnn::getLayerInputs

modules/dnn/src/dnn.cpp

@@ -3189,14 +3189,11 @@ Ptr<Layer> Net::getLayer(LayerId layerId)
 std::vector<Ptr<Layer> > Net::getLayerInputs(LayerId layerId)
 {
     LayerData &ld = impl->getLayerData(layerId);
-    if (!ld.layerInstance)
-        CV_Error(Error::StsNullPtr, format("Requested layer \"%s\" was not initialized", ld.name.c_str()));
 
     std::vector<Ptr<Layer> > inputLayers;
-    inputLayers.reserve(ld.inputLayersId.size());
+    inputLayers.reserve(ld.inputBlobsId.size());
-    std::set<int>::iterator it;
+    for (int i = 0; i < ld.inputBlobsId.size(); ++i) {
-    for (it = ld.inputLayersId.begin(); it != ld.inputLayersId.end(); ++it) {
+        inputLayers.push_back(getLayer(ld.inputBlobsId[i].lid));
-        inputLayers.push_back(getLayer(*it));
     }
     return inputLayers;
 }

modules/dnn/test/test_misc.cpp

@@ -86,6 +86,8 @@ TEST_P(dump, Regression)
     Net net = readNet(findDataFile("dnn/squeezenet_v1.1.prototxt"),
                       findDataFile("dnn/squeezenet_v1.1.caffemodel", false));
 
+    ASSERT_EQ(net.getLayerInputs(net.getLayerId("fire2/concat")).size(), 2);
+
     int size[] = {1, 3, 227, 227};
     Mat input = cv::Mat::ones(4, size, CV_32F);
     net.setInput(input);