text: #ifndef CAFFE_CUDNN_SIGMOID_LAYER_HPP_
  #define CAFFE_CUDNN_SIGMOID_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/sigmoid_layer.hpp"
  
  namespace caffe {
  
  #ifdef USE_CUDNN
  /**
   * @brief CuDNN acceleration of SigmoidLayer.
   */
  template <typename Dtype>
  class CuDNNSigmoidLayer : public SigmoidLayer<Dtype> {
   public:
    explicit CuDNNSigmoidLayer(const LayerParameter& param)
        : SigmoidLayer<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 ~CuDNNSigmoidLayer();
  
   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_SIGMOID_LAYER_HPP_
  