text: // Copyright 2013 Yangqing Jia
  
  #include <cmath>
  #include <cstdlib>
  #include <cstring>
  #include <cuda_runtime.h>
  
  #include "gtest/gtest.h"
  #include "caffe/blob.hpp"
  #include "caffe/common.hpp"
  #include "caffe/filler.hpp"
  #include "caffe/vision_layers.hpp"
  #include "caffe/test/test_gradient_check_util.hpp"
  
  #include "caffe/test/test_caffe_main.hpp"
  
  namespace caffe {
  
  extern cudaDeviceProp CAFFE_TEST_CUDA_PROP;
  
  template <typename Dtype>
  class EuclideanLossLayerTest : public ::testing::Test {
   protected:
    EuclideanLossLayerTest()
        : blob_bottom_data_(new Blob<Dtype>(10, 5, 1, 1)),
          blob_bottom_label_(new Blob<Dtype>(10, 5, 1, 1)) {
      // fill the values
      FillerParameter filler_param;
      GaussianFiller<Dtype> filler(filler_param);
      filler.Fill(this->blob_bottom_data_);
      blob_bottom_vec_.push_back(blob_bottom_data_);
      filler.Fill(this->blob_bottom_label_);
      blob_bottom_vec_.push_back(blob_bottom_label_);
    }
    virtual ~EuclideanLossLayerTest() {
      delete blob_bottom_data_;
      delete blob_bottom_label_;
    }
    Blob<Dtype>* const blob_bottom_data_;
    Blob<Dtype>* const blob_bottom_label_;
    vector<Blob<Dtype>*> blob_bottom_vec_;
    vector<Blob<Dtype>*> blob_top_vec_;
  };
  
  typedef ::testing::Types<float, double> Dtypes;
  TYPED_TEST_CASE(EuclideanLossLayerTest, Dtypes);
  
  TYPED_TEST(EuclideanLossLayerTest, TestGradientCPU) {
    LayerParameter layer_param;
    Caffe::set_mode(Caffe::CPU);
    EuclideanLossLayer<TypeParam> layer(layer_param);
    layer.SetUp(this->blob_bottom_vec_, &this->blob_top_vec_);
    GradientChecker<TypeParam> checker(1e-2, 1e-2, 1701);
    checker.CheckGradientSingle(layer, this->blob_bottom_vec_,
        this->blob_top_vec_, 0, -1, -1);
  }
  
  }
  