doxygen/neuron__layer_8hpp_source.html

 #ifndef CAFFE_NEURON_LAYER_HPP_
 #define CAFFE_NEURON_LAYER_HPP_

 #include <vector>

 #include "caffe/blob.hpp"
 #include "caffe/layer.hpp"
 #include "caffe/proto/caffe.pb.h"

 namespace caffe {

 template <typename Dtype>
 class NeuronLayer : public Layer<Dtype> {
  public:
   explicit NeuronLayer(const LayerParameter& param)
      : Layer<Dtype>(param) {}
   virtual void Reshape(const vector<Blob<Dtype>*>& bottom,
       const vector<Blob<Dtype>*>& top);

   virtual inline int ExactNumBottomBlobs() const { return 1; }
   virtual inline int ExactNumTopBlobs() const { return 1; }
 };

 }  // namespace caffe

 #endif  // CAFFE_NEURON_LAYER_HPP_
caffe::Layer
An interface for the units of computation which can be composed into a Net.
Definition: layer.hpp:33

caffe
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14

caffe::NeuronLayer::Reshape
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

caffe::NeuronLayer::ExactNumTopBlobs
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

caffe::NeuronLayer::ExactNumBottomBlobs
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

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::Blob
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24