/usr/include/caffe/layers/crop_layer.hpp is in libcaffe-cpu-dev 1.0.0~rc4-1.
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 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | #ifndef CAFFE_CROP_LAYER_HPP_
#define CAFFE_CROP_LAYER_HPP_
#include <utility>
#include <vector>
#include "caffe/blob.hpp"
#include "caffe/layer.hpp"
#include "caffe/proto/caffe.pb.h"
namespace caffe {
/**
* @brief Takes a Blob and crop it, to the shape specified by the second input
* Blob, across all dimensions after the specified axis.
*
* TODO(dox): thorough documentation for Forward, Backward, and proto params.
*/
template <typename Dtype>
class CropLayer : public Layer<Dtype> {
public:
explicit CropLayer(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 "Crop"; }
virtual inline int ExactNumBottomBlobs() 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 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);
vector<int> offsets;
private:
// Recursive copy function.
void crop_copy(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top,
const vector<int>& offsets,
vector<int> indices,
int cur_dim,
const Dtype* src_data,
Dtype* dest_data,
bool is_forward);
// Recursive copy function: this is similar to crop_copy() but loops over all
// but the last two dimensions to allow for ND cropping while still relying on
// a CUDA kernel for the innermost two dimensions for performance reasons. An
// alterantive implementation could rely on the kernel more by passing
// offsets, but this is problematic because of its variable length.
// Since in the standard (N,C,W,H) case N,C are usually not cropped a speedup
// could be achieved by not looping the application of the copy_kernel around
// these dimensions.
void crop_copy_gpu(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top,
const vector<int>& offsets,
vector<int> indices,
int cur_dim,
const Dtype* src_data,
Dtype* dest_data,
bool is_forward);
};
} // namespace caffe
#endif // CAFFE_CROP_LAYER_HPP_
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