Caffe
power_layer.hpp
1 #ifndef CAFFE_POWER_LAYER_HPP_
2 #define CAFFE_POWER_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 PowerLayer : public NeuronLayer<Dtype> {
21  public:
29  explicit PowerLayer(const LayerParameter& param)
30  : NeuronLayer<Dtype>(param) {}
31  virtual void LayerSetUp(const vector<Blob<Dtype>*>& bottom,
32  const vector<Blob<Dtype>*>& top);
33 
34  virtual inline const char* type() const { return "Power"; }
35 
36  protected:
47  virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
48  const vector<Blob<Dtype>*>& top);
49  virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
50  const vector<Blob<Dtype>*>& top);
51 
72  virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
73  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
74  virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
75  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
76 
78  Dtype power_;
80  Dtype scale_;
82  Dtype shift_;
84  Dtype diff_scale_;
85 };
86 
87 } // namespace caffe
88 
89 #endif // CAFFE_POWER_LAYER_HPP_
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14
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_...
Dtype power_
from layer_param_.power_param()
Definition: power_layer.hpp:78
Dtype diff_scale_
Result of .
Definition: power_layer.hpp:84
Computes , as specified by the scale , shift , and power .
Definition: power_layer.hpp:20
virtual const char * type() const
Returns the layer type.
Definition: power_layer.hpp:34
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: power_layer.cpp:9
Dtype shift_
from layer_param_.power_param()
Definition: power_layer.hpp:82
An interface for layers that take one blob as input ( ) and produce one equally-sized blob as output ...
Definition: neuron_layer.hpp:19
Dtype scale_
from layer_param_.power_param()
Definition: power_layer.hpp:80
PowerLayer(const LayerParameter &param)
Definition: power_layer.hpp:29
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 Forward_cpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Definition: power_layer.cpp:20
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 power inputs.
Definition: power_layer.cpp:44
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24