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#ifndef CAFFE_XXX_LAYER_HPP_
#define CAFFE_XXX_LAYER_HPP_
#include <vector>
#include "caffe/blob.hpp"
#include "caffe/layer.hpp"
#include "caffe/proto/caffe.pb.h"
namespace caffe {
/*
* @brief Reshapes the input Blob into an arbitrary-sized output Blob.
*
* Note: similarly to FlattenLayer, this layer does not change the input values
* (see FlattenLayer, Blob::ShareData and Blob::ShareDiff).
*/
template <typename Dtype>
class ReshapeLayer : public Layer<Dtype> {
public:
explicit ReshapeLayer(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 "Reshape"; }
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 Backward_cpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {}
virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top) {}
virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {}
/// @brief vector of axes indices whose dimensions we'll copy from the bottom
vector<int> copy_axes_;
/// @brief the index of the axis whose dimension we infer, or -1 if none
int inferred_axis_;
/// @brief the product of the "constant" output dimensions
int constant_count_;
};
} // namespace caffe
#endif // CAFFE_XXX_LAYER_HPP_
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