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
|
#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_
|
