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#ifndef CAFFE_CUDNN_LCN_LAYER_HPP_
#define CAFFE_CUDNN_LCN_LAYER_HPP_
#include <vector>
#include "caffe/blob.hpp"
#include "caffe/layer.hpp"
#include "caffe/proto/caffe.pb.h"
#include "caffe/layers/lrn_layer.hpp"
#include "caffe/layers/power_layer.hpp"
namespace caffe {
#ifdef USE_CUDNN
template <typename Dtype>
class CuDNNLCNLayer : public LRNLayer<Dtype> {
public:
explicit CuDNNLCNLayer(const LayerParameter& param)
: LRNLayer<Dtype>(param), handles_setup_(false), tempDataSize(0),
tempData1(NULL), tempData2(NULL) {}
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 ~CuDNNLCNLayer();
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_, pre_pad_;
Dtype alpha_, beta_, k_;
size_t tempDataSize;
void *tempData1, *tempData2;
};
#endif
} // namespace caffe
#endif // CAFFE_CUDNN_LCN_LAYER_HPP_
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