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clip_layer.hpp
1 #ifndef CAFFE_CLIP_LAYER_HPP_
2 #define CAFFE_CLIP_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 
17 template <typename Dtype>
18 class ClipLayer : public NeuronLayer<Dtype> {
19  public:
26  explicit ClipLayer(const LayerParameter& param)
27  : NeuronLayer<Dtype>(param) {}
28 
29  virtual inline const char* type() const { return "Clip"; }
30 
31  protected:
42  virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
43  const vector<Blob<Dtype>*>& top);
44  virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
45  const vector<Blob<Dtype>*>& top);
46 
67  virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
68  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
69  virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
70  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
71 };
72 
73 } // namespace caffe
74 
75 #endif // CAFFE_CLIP_LAYER_HPP_
caffe::NeuronLayer
An interface for layers that take one blob as input ( ) and produce one equally-sized blob as output ...
Definition: neuron_layer.hpp:19
caffe::ClipLayer
Clip: .
Definition: clip_layer.hpp:18
caffe::ClipLayer::type
virtual const char * type() const
Returns the layer type.
Definition: clip_layer.hpp:29
caffe::ClipLayer::ClipLayer
ClipLayer(const LayerParameter &param)
Definition: clip_layer.hpp:26
caffe::ClipLayer::Forward_gpu
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.
caffe::Blob
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers,...
Definition: blob.hpp:24
caffe::ClipLayer::Backward_cpu
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 clipped inputs.
Definition: clip_layer.cpp:24
caffe::ClipLayer::Backward_gpu
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_...
caffe
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14
caffe::ClipLayer::Forward_cpu
virtual void Forward_cpu(const vector< Blob< Dtype > * > &bottom, const vector< Blob< Dtype > * > &top)
Definition: clip_layer.cpp:9