sigmoid_cross_entropy_loss_layer.hpp

#ifndef CAFFE_SIGMOID_CROSS_ENTROPY_LOSS_LAYER_HPP_
#define CAFFE_SIGMOID_CROSS_ENTROPY_LOSS_LAYER_HPP_

#include <vector>

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

#include "caffe/layers/loss_layer.hpp"
#include "caffe/layers/sigmoid_layer.hpp"

namespace caffe {

template <typename Dtype>
class SigmoidCrossEntropyLossLayer : public LossLayer<Dtype> {
 public:
  explicit SigmoidCrossEntropyLossLayer(const LayerParameter& param)
      : LossLayer<Dtype>(param),
          sigmoid_layer_(new SigmoidLayer<Dtype>(param)),
          sigmoid_output_(new Blob<Dtype>()) {}
  virtual void LayerSetUp(const vector<Blob<Dtype>*>& bottom,
      const vector<Blob<Dtype>*>& top);
  virtual void Reshape(const vector<Blob<Dtype>*>& bottom,
      const vector<Blob<Dtype>*>& top);

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

 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);

  virtual Dtype get_normalizer(
      LossParameter_NormalizationMode normalization_mode, int valid_count);

  shared_ptr<SigmoidLayer<Dtype> > sigmoid_layer_;
  shared_ptr<Blob<Dtype> > sigmoid_output_;
  vector<Blob<Dtype>*> sigmoid_bottom_vec_;
  vector<Blob<Dtype>*> sigmoid_top_vec_;

  bool has_ignore_label_;
  int ignore_label_;
  LossParameter_NormalizationMode normalization_;
  Dtype normalizer_;
  int outer_num_, inner_num_;
};

}  // namespace caffe

#endif  // CAFFE_SIGMOID_CROSS_ENTROPY_LOSS_LAYER_HPP_