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7fc5a59 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | #ifndef CAFFE_CUDNN_POOLING_LAYER_HPP_
#define CAFFE_CUDNN_POOLING_LAYER_HPP_
#include <vector>
#include "caffe/blob.hpp"
#include "caffe/layer.hpp"
#include "caffe/proto/caffe.pb.h"
#include "caffe/layers/pooling_layer.hpp"
namespace caffe {
#ifdef USE_CUDNN
/*
* @brief cuDNN implementation of PoolingLayer.
* Fallback to PoolingLayer for CPU mode.
*/
template <typename Dtype>
class CuDNNPoolingLayer : public PoolingLayer<Dtype> {
public:
explicit CuDNNPoolingLayer(const LayerParameter& param)
: PoolingLayer<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 ~CuDNNPoolingLayer();
// Currently, cuDNN does not support the extra top blob.
virtual inline int MinTopBlobs() const { return -1; }
virtual inline int ExactNumTopBlobs() const { return 1; }
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_;
cudnnTensorDescriptor_t bottom_desc_, top_desc_;
cudnnPoolingDescriptor_t pooling_desc_;
cudnnPoolingMode_t mode_;
};
#endif
} // namespace caffe
#endif // CAFFE_CUDNN_POOLING_LAYER_HPP_
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