usr/local/include/caffe/layers/cudnn_tanh_layer.hpp

#ifndef CAFFE_CUDNN_TANH_LAYER_HPP_
#define CAFFE_CUDNN_TANH_LAYER_HPP_

#include <vector>

#include "caffe/blob.hpp"
#include "caffe/layer.hpp"
#include "caffe/proto/caffe.pb.h"

#include "caffe/layers/neuron_layer.hpp"
#include "caffe/layers/tanh_layer.hpp"

namespace caffe {

#ifdef USE_CUDNN
/**
 * @brief CuDNN acceleration of TanHLayer.
 */
template <typename Dtype>
class CuDNNTanHLayer : public TanHLayer<Dtype> {
 public:
  explicit CuDNNTanHLayer(const LayerParameter& param)
      : TanHLayer<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 ~CuDNNTanHLayer();

 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_;
  cudnnTensorDescriptor_t top_desc_;
  cudnnActivationDescriptor_t activ_desc_;
};
#endif

}  // namespace caffe

#endif  // CAFFE_CUDNN_TANH_LAYER_HPP_