Caffe
exp_layer.hpp
1 #ifndef CAFFE_EXP_LAYER_HPP_
2 #define CAFFE_EXP_LAYER_HPP_
3 
4 #include <vector>
5 
6 #include "caffe/blob.hpp"
7 #include "caffe/layer.hpp"
8 #include "caffe/proto/caffe.pb.h"
9 
10 #include "caffe/layers/neuron_layer.hpp"
11 
12 namespace caffe {
13 
19 template <typename Dtype>
20 class ExpLayer : public NeuronLayer<Dtype> {
21  public:
30  explicit ExpLayer(const LayerParameter& param)
31  : NeuronLayer<Dtype>(param) {}
32  virtual void LayerSetUp(const vector<Blob<Dtype>*>& bottom,
33  const vector<Blob<Dtype>*>& top);
34 
35  virtual inline const char* type() const { return "Exp"; }
36 
37  protected:
48  virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
49  const vector<Blob<Dtype>*>& top);
50  virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
51  const vector<Blob<Dtype>*>& top);
52 
70  virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
71  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
72  virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
73  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
74 
75  Dtype inner_scale_, outer_scale_;
76 };
77 
78 } // namespace caffe
79 
80 #endif // CAFFE_EXP_LAYER_HPP_
virtual void LayerSetUp(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Does layer-specific setup: your layer should implement this function as well as Reshape.
Definition: exp_layer.cpp:9
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14
virtual void Backward_cpu(const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom)
Computes the error gradient w.r.t. the exp inputs.
Definition: exp_layer.cpp:48
virtual const char * type() const
Returns the layer type.
Definition: exp_layer.hpp:35
Computes , as specified by the scale , shift , and base .
Definition: exp_layer.hpp:20
virtual void Forward_cpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Definition: exp_layer.cpp:31
virtual void Forward_gpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Using the GPU device, compute the layer output. Fall back to Forward_cpu() if unavailable.
virtual void Backward_gpu(const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom)
Using the GPU device, compute the gradients for any parameters and for the bottom blobs if propagate_...
An interface for layers that take one blob as input ( ) and produce one equally-sized blob as output ...
Definition: neuron_layer.hpp:19
ExpLayer(const LayerParameter &param)
Definition: exp_layer.hpp:30
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24