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#ifndef CAFFE_REDUCTION_LAYER_HPP_
#define CAFFE_REDUCTION_LAYER_HPP_
#include <vector>
#include "caffe/blob.hpp"
#include "caffe/layer.hpp"
#include "caffe/proto/caffe.pb.h"
namespace caffe {
/**
* @brief Compute "reductions" -- operations that return a scalar output Blob
* for an input Blob of arbitrary size, such as the sum, absolute sum,
* and sum of squares.
*
* TODO(dox): thorough documentation for Forward, Backward, and proto params.
*/
template <typename Dtype>
class ReductionLayer : public Layer<Dtype> {
public:
explicit ReductionLayer(const LayerParameter& param)
: Layer<Dtype>(param) {}
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 "Reduction"; }
virtual inline int ExactNumBottomBlobs() const { return 1; }
virtual inline int ExactNumTopBlobs() const { return 1; }
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);
/// @brief the reduction operation performed by the layer
ReductionParameter_ReductionOp op_;
/// @brief a scalar coefficient applied to all outputs
Dtype coeff_;
/// @brief the index of the first input axis to reduce
int axis_;
/// @brief the number of reductions performed
int num_;
/// @brief the input size of each reduction
int dim_;
/// @brief a helper Blob used for summation (op_ == SUM)
Blob<Dtype> sum_multiplier_;
};
} // namespace caffe
#endif // CAFFE_REDUCTION_LAYER_HPP_
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