doxygen/softmax__layer_8hpp_source.html

 #ifndef CAFFE_SOFTMAX_LAYER_HPP_
 #define CAFFE_SOFTMAX_LAYER_HPP_

 #include <vector>

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

 namespace caffe {

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

   virtual inline const char* type() const { return "Softmax"; }
   virtual inline int ExactNumBottomBlobs() const { return 1; }
   virtual inline int ExactNumTopBlobs() const { return 1; }

  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);

   int outer_num_;
   int inner_num_;
   int softmax_axis_;
   Blob<Dtype> sum_multiplier_;
   Blob<Dtype> scale_;
 };

 }  // namespace caffe

 #endif  // CAFFE_SOFTMAX_LAYER_HPP_
caffe::SoftmaxLayer::type
virtual const char * type() const
Returns the layer type.
Definition: softmax_layer.hpp:25

caffe::SoftmaxLayer::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::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::SoftmaxLayer::sum_multiplier_
Blob< Dtype > sum_multiplier_
sum_multiplier is used to carry out sum using BLAS
Definition: softmax_layer.hpp:43

caffe::SoftmaxLayer::Forward_cpu
virtual void Forward_cpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Using the CPU device, compute the layer output.
Definition: softmax_layer.cpp:27

caffe::SoftmaxLayer
Computes the softmax function.
Definition: softmax_layer.hpp:18

caffe::SoftmaxLayer::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::SoftmaxLayer::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: softmax_layer.cpp:10

caffe::SoftmaxLayer::scale_
Blob< Dtype > scale_
scale is an intermediate Blob to hold temporary results.
Definition: softmax_layer.hpp:45

caffe::SoftmaxLayer::Backward_cpu
virtual void Backward_cpu(const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom)
Using the CPU device, compute the gradients for any parameters and for the bottom blobs if propagate_...
Definition: softmax_layer.cpp:63

caffe::SoftmaxLayer::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: softmax_layer.hpp:26

caffe::SoftmaxLayer::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: softmax_layer.hpp:27

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