1 #ifndef CAFFE_CONTRASTIVE_LOSS_LAYER_HPP_
2 #define CAFFE_CONTRASTIVE_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"
38 template <
typename Dtype>
47 virtual inline const char*
type()
const {
return "ContrastiveLoss"; }
53 return bottom_index != 2;
89 const vector<bool>& propagate_down,
const vector<
Blob<Dtype>*>& bottom);
91 const vector<bool>& propagate_down,
const vector<
Blob<Dtype>*>& bottom);
101 #endif // CAFFE_CONTRASTIVE_LOSS_LAYER_HPP_
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 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: contrastive_loss_layer.cpp:10
virtual void Forward_cpu(const vector< Blob< Dtype > * > &bottom, const vector< Blob< Dtype > * > &top)
Computes the contrastive loss where . This can be used to train siamese networks.
Definition: contrastive_loss_layer.cpp:31
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 bool AllowForceBackward(const int bottom_index) const
Definition: contrastive_loss_layer.hpp:52
virtual void Backward_cpu(const vector< Blob< Dtype > * > &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > * > &bottom)
Computes the Contrastive error gradient w.r.t. the inputs.
Definition: contrastive_loss_layer.cpp:65
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 int ExactNumBottomBlobs() const
Returns the exact number of bottom blobs required by the layer, or -1 if no exact number is required.
Definition: contrastive_loss_layer.hpp:46
virtual const char * type() const
Returns the layer type.
Definition: contrastive_loss_layer.hpp:47
Computes the contrastive loss where . This can be used to train siamese networks.
Definition: contrastive_loss_layer.hpp:39
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14