text: #ifndef CAFFE_NEURON_LAYER_HPP_
  #define CAFFE_NEURON_LAYER_HPP_
  
  #include <vector>
  
  #include "caffe/blob.hpp"
  #include "caffe/layer.hpp"
  #include "caffe/proto/caffe.pb.h"
  
  namespace caffe {
  
  /**
   * @brief An interface for layers that take one blob as input (@f$ x @f$)
   *        and produce one equally-sized blob as output (@f$ y @f$), where
   *        each element of the output depends only on the corresponding input
   *        element.
   */
  template <typename Dtype>
  class NeuronLayer : public Layer<Dtype> {
   public:
    explicit NeuronLayer(const LayerParameter& param)
       : Layer<Dtype>(param) {}
    virtual void Reshape(const vector<Blob<Dtype>*>& bottom,
        const vector<Blob<Dtype>*>& top);
  
    virtual inline int ExactNumBottomBlobs() const { return 1; }
    virtual inline int ExactNumTopBlobs() const { return 1; }
  };
  
  }  // namespace caffe
  
  #endif  // CAFFE_NEURON_LAYER_HPP_
  