Caffe
neuron_layer.hpp
1 #ifndef CAFFE_NEURON_LAYER_HPP_
2 #define CAFFE_NEURON_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 
18 template <typename Dtype>
19 class NeuronLayer : public Layer<Dtype> {
20  public:
21  explicit NeuronLayer(const LayerParameter& param)
22  : Layer<Dtype>(param) {}
23  virtual void Reshape(const vector<Blob<Dtype>*>& bottom,
24  const vector<Blob<Dtype>*>& top);
25 
26  virtual inline int ExactNumBottomBlobs() const { return 1; }
27  virtual inline int ExactNumTopBlobs() const { return 1; }
28 };
29 
30 } // namespace caffe
31 
32 #endif // CAFFE_NEURON_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
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: neuron_layer.cpp:8
virtual int ExactNumTopBlobs() const
Returns the exact number of top blobs required by the layer, or -1 if no exact number is required...
Definition: neuron_layer.hpp:27
virtual int ExactNumBottomBlobs() const
Returns the exact number of bottom blobs required by the layer, or -1 if no exact number is required...
Definition: neuron_layer.hpp:26
An interface for layers that take one blob as input ( ) and produce one equally-sized blob as output ...
Definition: neuron_layer.hpp:19
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24