#ifndef CAFFE_ELTWISE_LAYER_HPP_

#define CAFFE_ELTWISE_LAYER_HPP_

#include <vector>

#include "caffe/blob.hpp"

#include "caffe/layer.hpp"

#include "caffe/proto/caffe.pb.h"

namespace caffe {

/**

* @brief Compute elementwise operations, such as product and sum,

* along multiple input Blobs.

*

* TODO(dox): thorough documentation for Forward, Backward, and proto params.

*/

template <typename Dtype>

class EltwiseLayer : public Layer<Dtype> {

public:

explicit EltwiseLayer(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 "Eltwise"; }

virtual inline int MinBottomBlobs() const { return 2; }

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);

EltwiseParameter_EltwiseOp op_;

vector<Dtype> coeffs_;

Blob<int> max_idx_;

bool stable_prod_grad_;

};

} // namespace caffe

#endif // CAFFE_ELTWISE_LAYER_HPP_