cudnn_lrn_layer.hpp

#ifndef CAFFE_CUDNN_LRN_LAYER_HPP_
#define CAFFE_CUDNN_LRN_LAYER_HPP_
 
#include <vector>
 
#include "caffe/blob.hpp"
#include "caffe/layer.hpp"
#include "caffe/proto/caffe.pb.h"
 
#include "caffe/layers/lrn_layer.hpp"
 
namespace caffe {
 
#ifdef USE_CUDNN
template <typename Dtype>
class CuDNNLRNLayer : public LRNLayer<Dtype> {
 public:
  explicit CuDNNLRNLayer(const LayerParameter& param)
      : LRNLayer<Dtype>(param), handles_setup_(false) {}
  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 ~CuDNNLRNLayer();
 
 protected:
  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);
 
  bool handles_setup_;
  cudnnHandle_t             handle_;
  cudnnLRNDescriptor_t norm_desc_;
  cudnnTensorDescriptor_t bottom_desc_, top_desc_;
 
  int size_;
  Dtype alpha_, beta_, k_;
};
#endif
 
}  // namespace caffe
 
#endif  // CAFFE_CUDNN_LRN_LAYER_HPP_