1 #ifndef CAFFE_SOFTMAX_WITH_LOSS_LAYER_HPP_     2 #define CAFFE_SOFTMAX_WITH_LOSS_LAYER_HPP_     6 #include "caffe/blob.hpp"     7 #include "caffe/layer.hpp"     8 #include "caffe/proto/caffe.pb.h"    10 #include "caffe/layers/loss_layer.hpp"    11 #include "caffe/layers/softmax_layer.hpp"    43 template <
typename Dtype>
    61   virtual inline const char* 
type()
 const { 
return "SoftmaxWithLoss"; }
    99       const vector<bool>& propagate_down, 
const vector<
Blob<Dtype>*>& bottom);
   101       const vector<bool>& propagate_down, 
const vector<
Blob<Dtype>*>& bottom);
   108       LossParameter_NormalizationMode normalization_mode, 
int valid_count);
   125   int softmax_axis_, outer_num_, inner_num_;
   130 #endif  // CAFFE_SOFTMAX_WITH_LOSS_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_...
 
virtual void Forward_cpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Using the CPU device, compute the layer output. 
Definition: softmax_loss_layer.cpp:89
 
shared_ptr< Layer< Dtype > > softmax_layer_
The internal SoftmaxLayer used to map predictions to a distribution. 
Definition: softmax_loss_layer.hpp:111
 
virtual int MinTopBlobs() const
Returns the minimum number of top blobs required by the layer, or -1 if no minimum number is required...
Definition: softmax_loss_layer.hpp:63
 
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: softmax_loss_layer.cpp:39
 
virtual int MaxTopBlobs() const
Returns the maximum number of top blobs required by the layer, or -1 if no maximum number is required...
Definition: softmax_loss_layer.hpp:64
 
virtual const char * type() const
Returns the layer type. 
Definition: softmax_loss_layer.hpp:61
 
SoftmaxWithLossLayer(const LayerParameter ¶m)
Definition: softmax_loss_layer.hpp:54
 
vector< Blob< Dtype > * > softmax_top_vec_
top vector holder used in call to the underlying SoftmaxLayer::Forward 
Definition: softmax_loss_layer.hpp:117
 
LossParameter_NormalizationMode normalization_
How to normalize the output loss. 
Definition: softmax_loss_layer.hpp:123
 
Computes the multinomial logistic loss for a one-of-many classification task, passing real-valued pre...
Definition: softmax_loss_layer.hpp:44
 
vector< Blob< Dtype > * > softmax_bottom_vec_
bottom vector holder used in call to the underlying SoftmaxLayer::Forward 
Definition: softmax_loss_layer.hpp:115
 
int ignore_label_
The label indicating that an instance should be ignored. 
Definition: softmax_loss_layer.hpp:121
 
An interface for Layers that take two Blobs as input – usually (1) predictions and (2) ground-truth ...
Definition: loss_layer.hpp:23
 
virtual void Backward_cpu(const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom)
Computes the softmax loss error gradient w.r.t. the predictions. 
Definition: softmax_loss_layer.cpp:118
 
virtual Dtype get_normalizer(LossParameter_NormalizationMode normalization_mode, int valid_count)
Definition: softmax_loss_layer.cpp:59
 
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_loss_layer.hpp:62
 
Blob< Dtype > prob_
prob stores the output probability predictions from the SoftmaxLayer. 
Definition: softmax_loss_layer.hpp:113
 
virtual void LayerSetUp(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Does layer-specific setup: your layer should implement this function as well as Reshape. 
Definition: softmax_loss_layer.cpp:11
 
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. 
 
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24
 
bool has_ignore_label_
Whether to ignore instances with a certain label. 
Definition: softmax_loss_layer.hpp:119