doxygen/relu__layer_8hpp_source.html

 #ifndef CAFFE_RELU_LAYER_HPP_
 #define CAFFE_RELU_LAYER_HPP_

 #include <vector>

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

 #include "caffe/layers/neuron_layer.hpp"

 namespace caffe {

 template <typename Dtype>
 class ReLULayer : public NeuronLayer<Dtype> {
  public:
   explicit ReLULayer(const LayerParameter& param)
       : NeuronLayer<Dtype>(param) {}

   virtual inline const char* type() const { return "ReLU"; }

  protected:
   virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
       const vector<Blob<Dtype>*>& top);
   virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
       const vector<Blob<Dtype>*>& top);

   virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
       const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
   virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
       const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
 };

 }  // namespace caffe

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

caffe::ReLULayer::Forward_cpu
virtual void Forward_cpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Definition: relu_layer.cpp:9

caffe::ReLULayer::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 ReLU inputs.
Definition: relu_layer.cpp:22

caffe::ReLULayer
Rectified Linear Unit non-linearity . The simple max is fast to compute, and the function does not sa...
Definition: relu_layer.hpp:19

caffe::ReLULayer::ReLULayer
ReLULayer(const LayerParameter &param)
Definition: relu_layer.hpp:27

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::ReLULayer::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::ReLULayer::type
virtual const char * type() const
Returns the layer type.
Definition: relu_layer.hpp:30

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