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  #include "test_precomp.hpp"
  #include "npy_blob.hpp"
  #include <opencv2/core/ocl.hpp>
  #include <opencv2/ts/ocl_test.hpp>
  
  namespace cvtest
  {
  
  using namespace cv;
  using namespace cv::dnn;
  
  template<typename TString>
  static std::string _tf(TString filename)
  {
      return (getOpenCVExtraDir() + "/dnn/") + filename;
  }
  
  static void launchGoogleNetTest()
  {
      Net net;
      {
          const string proto = findDataFile("dnn/bvlc_googlenet.prototxt", false);
          const string model = findDataFile("dnn/bvlc_googlenet.caffemodel", false);
          Ptr<Importer> importer = createCaffeImporter(proto, model);
          ASSERT_TRUE(importer != NULL);
          importer->populateNet(net);
      }
  
      std::vector<Mat> inpMats;
      inpMats.push_back( imread(_tf("googlenet_0.jpg")) );
      inpMats.push_back( imread(_tf("googlenet_1.jpg")) );
      ASSERT_TRUE(!inpMats[0].empty() && !inpMats[1].empty());
  
      net.setBlob(".data", blobFromImages(inpMats, 1.));
      net.forward();
  
      Mat out = net.getBlob("prob");
      Mat ref = blobFromNPY(_tf("googlenet_prob.npy"));
      normAssert(out, ref);
  }
  
  TEST(Reproducibility_GoogLeNet, Accuracy)
  {
      launchGoogleNetTest();
  }
  
  }
  