Caffe
threshold_layer.hpp
1 #ifndef CAFFE_THRESHOLD_LAYER_HPP_
2 #define CAFFE_THRESHOLD_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 
18 template <typename Dtype>
19 class ThresholdLayer : public NeuronLayer<Dtype> {
20  public:
27  explicit ThresholdLayer(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 "Threshold"; }
33 
34  protected:
49  virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
50  const vector<Blob<Dtype>*>& top);
51  virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
52  const vector<Blob<Dtype>*>& top);
54  virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
55  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {
56  NOT_IMPLEMENTED;
57  }
58 
59  Dtype threshold_;
60 };
61 
62 } // namespace caffe
63 
64 #endif // CAFFE_THRESHOLD_LAYER_HPP_
Tests whether the input exceeds a threshold: outputs 1 for inputs above threshold; 0 otherwise...
Definition: threshold_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.
ThresholdLayer(const LayerParameter &param)
Definition: threshold_layer.hpp:27
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)
Not implemented (non-differentiable function)
Definition: threshold_layer.hpp:54
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: threshold_layer.cpp:8
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_cpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Definition: threshold_layer.cpp:15
virtual const char * type() const
Returns the layer type.
Definition: threshold_layer.hpp:32
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24