text: #ifndef CAFFE_XXX_LAYER_HPP_
  #define CAFFE_XXX_LAYER_HPP_
  
  #include <vector>
  
  #include "caffe/blob.hpp"
  #include "caffe/layer.hpp"
  #include "caffe/proto/caffe.pb.h"
  
  namespace caffe {
  
  /*
   * @brief Reshapes the input Blob into an arbitrary-sized output Blob.
   *
   * Note: similarly to FlattenLayer, this layer does not change the input values
   * (see FlattenLayer, Blob::ShareData and Blob::ShareDiff).
   */
  template <typename Dtype>
  class ReshapeLayer : public Layer<Dtype> {
   public:
    explicit ReshapeLayer(const LayerParameter& param)
        : Layer<Dtype>(param) {}
    virtual void LayerSetUp(const vector<Blob<Dtype>*>& bottom,
        const vector<Blob<Dtype>*>& top);
    virtual void Reshape(const vector<Blob<Dtype>*>& bottom,
        const vector<Blob<Dtype>*>& top);
  
    virtual inline const char* type() const { return "Reshape"; }
    virtual inline int ExactNumBottomBlobs() const { return 1; }
    virtual inline int ExactNumTopBlobs() const { return 1; }
  
   protected:
    virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
        const vector<Blob<Dtype>*>& top) {}
    virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
        const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {}
    virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
        const vector<Blob<Dtype>*>& top) {}
    virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
        const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {}
  
    /// @brief vector of axes indices whose dimensions we'll copy from the bottom
    vector<int> copy_axes_;
    /// @brief the index of the axis whose dimension we infer, or -1 if none
    int inferred_axis_;
    /// @brief the product of the "constant" output dimensions
    int constant_count_;
  };
  
  }  // namespace caffe
  
  #endif  // CAFFE_XXX_LAYER_HPP_
  