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_
int ignore_label_
The label indicating that an instance should be ignored.
Definition: softmax_loss_layer.hpp:121
Blob< Dtype > prob_
prob stores the output probability predictions from the SoftmaxLayer.
Definition: softmax_loss_layer.hpp:113
SoftmaxWithLossLayer(const LayerParameter ¶m)
Definition: softmax_loss_layer.hpp:54
bool has_ignore_label_
Whether to ignore instances with a certain label.
Definition: softmax_loss_layer.hpp:119
vector< Blob< Dtype > * > softmax_top_vec_
top vector holder used in call to the underlying SoftmaxLayer::Forward
Definition: softmax_loss_layer.hpp:117
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
shared_ptr< Layer< Dtype > > softmax_layer_
The internal SoftmaxLayer used to map predictions to a distribution.
Definition: softmax_loss_layer.hpp:111
virtual const char * type() const
Returns the layer type.
Definition: softmax_loss_layer.hpp:61
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_...
vector< Blob< Dtype > * > softmax_bottom_vec_
bottom vector holder used in call to the underlying SoftmaxLayer::Forward
Definition: softmax_loss_layer.hpp:115
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers,...
Definition: blob.hpp:24
An interface for Layers that take two Blobs as input – usually (1) predictions and (2) ground-truth l...
Definition: loss_layer.hpp:23
virtual Dtype get_normalizer(LossParameter_NormalizationMode normalization_mode, int valid_count)
Definition: softmax_loss_layer.cpp:59
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
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
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
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.
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
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 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
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14
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