Caffe
sigmoid_layer.hpp
1 #ifndef CAFFE_SIGMOID_LAYER_HPP_
2 #define CAFFE_SIGMOID_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 
22 template <typename Dtype>
23 class SigmoidLayer : public NeuronLayer<Dtype> {
24  public:
25  explicit SigmoidLayer(const LayerParameter& param)
26  : NeuronLayer<Dtype>(param) {}
27 
28  virtual inline const char* type() const { return "Sigmoid"; }
29 
30  protected:
41  virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
42  const vector<Blob<Dtype>*>& top);
43  virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
44  const vector<Blob<Dtype>*>& top);
45 
63  virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
64  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
65  virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
66  const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
67 };
68 
69 } // namespace caffe
70 
71 #endif // CAFFE_SIGMOID_LAYER_HPP_
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_...
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14
Sigmoid function non-linearity , a classic choice in neural networks.
Definition: sigmoid_layer.hpp:23
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 sigmoid inputs.
Definition: sigmoid_layer.cpp:25
virtual const char * type() const
Returns the layer type.
Definition: sigmoid_layer.hpp:28
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: sigmoid_layer.cpp:14
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24
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.