Caffe
absval_layer.hpp
1 #ifndef CAFFE_ABSVAL_LAYER_HPP_
2 #define CAFFE_ABSVAL_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 
24 template <typename Dtype>
25 class AbsValLayer : public NeuronLayer<Dtype> {
26  public:
27  explicit AbsValLayer(const LayerParameter& param)
28  : NeuronLayer<Dtype>(param) {}
29  virtual void LayerSetUp(const vector<Blob<Dtype>*>& bottom,
30  const vector<Blob<Dtype>*>& top);
31 
32  virtual inline const char* type() const { return "AbsVal"; }
33  virtual inline int ExactNumBottomBlobs() const { return 1; }
34  virtual inline int ExactNumTopBlobs() const { return 1; }
35 
36  protected:
38  virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
39  const vector<Blob<Dtype>*>& top);
40  virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
41  const vector<Blob<Dtype>*>& top);
42 
60  virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
61  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
62  virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
63  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
64 };
65 
66 } // namespace caffe
67 
68 #endif // CAFFE_ABSVAL_LAYER_HPP_
virtual int ExactNumBottomBlobs() const
Returns the exact number of bottom blobs required by the layer, or -1 if no exact number is required...
Definition: absval_layer.hpp:33
virtual void Forward_cpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Computes .
Definition: absval_layer.cpp:17
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: absval_layer.cpp:9
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14
Computes .
Definition: absval_layer.hpp:25
virtual const char * type() const
Returns the layer type.
Definition: absval_layer.hpp:32
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 absolute value inputs.
Definition: absval_layer.cpp:25
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
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 int ExactNumTopBlobs() const
Returns the exact number of top blobs required by the layer, or -1 if no exact number is required...
Definition: absval_layer.hpp:34
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24