Caffe
mvn_layer.hpp
1 #ifndef CAFFE_MVN_LAYER_HPP_
2 #define CAFFE_MVN_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 namespace caffe {
11 
17 template <typename Dtype>
18 class MVNLayer : public Layer<Dtype> {
19  public:
20  explicit MVNLayer(const LayerParameter& param)
21  : Layer<Dtype>(param) {}
22  virtual void Reshape(const vector<Blob<Dtype>*>& bottom,
23  const vector<Blob<Dtype>*>& top);
24 
25  virtual inline const char* type() const { return "MVN"; }
26  virtual inline int ExactNumBottomBlobs() const { return 1; }
27  virtual inline int ExactNumTopBlobs() const { return 1; }
28 
29  protected:
30  virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
31  const vector<Blob<Dtype>*>& top);
32  virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
33  const vector<Blob<Dtype>*>& top);
34  virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
35  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
36  virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
37  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
38 
39  Blob<Dtype> mean_, variance_, temp_;
40 
43  Dtype eps_;
44 };
45 
46 } // namespace caffe
47 
48 #endif // CAFFE_MVN_LAYER_HPP_
An interface for the units of computation which can be composed into a Net.
Definition: layer.hpp:33
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14
Normalizes the input to have 0-mean and/or unit (1) variance.
Definition: mvn_layer.hpp:18
virtual void Backward_cpu(const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom)
Using the CPU device, compute the gradients for any parameters and for the bottom blobs if propagate_...
Definition: mvn_layer.cpp:74
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: mvn_layer.hpp:27
virtual const char * type() const
Returns the layer type.
Definition: mvn_layer.hpp:25
virtual void Forward_cpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Using the CPU device, compute the layer output.
Definition: mvn_layer.cpp:31
virtual int ExactNumBottomBlobs() const
Returns the exact number of bottom blobs required by the layer, or -1 if no exact number is required...
Definition: mvn_layer.hpp:26
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_...
Blob< Dtype > sum_multiplier_
sum_multiplier is used to carry out sum using BLAS
Definition: mvn_layer.hpp:42
virtual void Reshape(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Adjust the shapes of top blobs and internal buffers to accommodate the shapes of the bottom blobs...
Definition: mvn_layer.cpp:9
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24