ternary_conv_layer.hpp

#ifndef CAFFE_TERNARY_CONV_LAYER_HPP_
#define CAFFE_TERNARY_CONV_LAYER_HPP_

#include <vector>

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

#include "caffe/layers/base_conv_layer.hpp"

namespace caffe {

template <typename Dtype>
class TernaryConvolutionLayer : public BaseConvolutionLayer<Dtype> {
 public:
     
  explicit TernaryConvolutionLayer(const LayerParameter& param)
      : BaseConvolutionLayer<Dtype>(param) {}

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

 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 inline bool reverse_dimensions() { return false; }
  virtual void compute_output_shape();
  
  Blob<Dtype> ternary_weights_;
  Blob<Dtype> alphas_;
  Blob<Dtype> weight_sum_multiplier_;
  Blob<Dtype> threshold_;
  
  bool skip_quantization_;
  // bool weights_overwrite_;
};

}  // namespace caffe

#endif  // CAFFE_TERNARY_CONV_LAYER_HPP_