/usr/include/caffe/layers/pooling_layer.hpp is in libcaffe-cpu-dev 1.0.0-6.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | #ifndef CAFFE_POOLING_LAYER_HPP_
#define CAFFE_POOLING_LAYER_HPP_
#include <vector>
#include "caffe/blob.hpp"
#include "caffe/layer.hpp"
#include "caffe/proto/caffe.pb.h"
namespace caffe {
/**
* @brief Pools the input image by taking the max, average, etc. within regions.
*
* TODO(dox): thorough documentation for Forward, Backward, and proto params.
*/
template <typename Dtype>
class PoolingLayer : public Layer<Dtype> {
public:
explicit PoolingLayer(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 "Pooling"; }
virtual inline int ExactNumBottomBlobs() const { return 1; }
virtual inline int MinTopBlobs() const { return 1; }
// MAX POOL layers can output an extra top blob for the mask;
// others can only output the pooled inputs.
virtual inline int MaxTopBlobs() const {
return (this->layer_param_.pooling_param().pool() ==
PoolingParameter_PoolMethod_MAX) ? 2 : 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);
int kernel_h_, kernel_w_;
int stride_h_, stride_w_;
int pad_h_, pad_w_;
int channels_;
int height_, width_;
int pooled_height_, pooled_width_;
bool global_pooling_;
Blob<Dtype> rand_idx_;
Blob<int> max_idx_;
};
} // namespace caffe
#endif // CAFFE_POOLING_LAYER_HPP_
|