/usr/include/caffe/layers/argmax_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 77 | #ifndef CAFFE_ARGMAX_LAYER_HPP_
#define CAFFE_ARGMAX_LAYER_HPP_
#include <vector>
#include "caffe/blob.hpp"
#include "caffe/layer.hpp"
#include "caffe/proto/caffe.pb.h"
namespace caffe {
/**
* @brief Compute the index of the @f$ K @f$ max values for each datum across
* all dimensions @f$ (C \times H \times W) @f$.
*
* Intended for use after a classification layer to produce a prediction.
* If parameter out_max_val is set to true, output is a vector of pairs
* (max_ind, max_val) for each image. The axis parameter specifies an axis
* along which to maximise.
*
* NOTE: does not implement Backwards operation.
*/
template <typename Dtype>
class ArgMaxLayer : public Layer<Dtype> {
public:
/**
* @param param provides ArgMaxParameter argmax_param,
* with ArgMaxLayer options:
* - top_k (\b optional uint, default 1).
* the number @f$ K @f$ of maximal items to output.
* - out_max_val (\b optional bool, default false).
* if set, output a vector of pairs (max_ind, max_val) unless axis is set then
* output max_val along the specified axis.
* - axis (\b optional int).
* if set, maximise along the specified axis else maximise the flattened
* trailing dimensions for each index of the first / num dimension.
*/
explicit ArgMaxLayer(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 "ArgMax"; }
virtual inline int ExactNumBottomBlobs() const { return 1; }
virtual inline int ExactNumTopBlobs() const { return 1; }
protected:
/**
* @param bottom input Blob vector (length 1)
* -# @f$ (N \times C \times H \times W) @f$
* the inputs @f$ x @f$
* @param top output Blob vector (length 1)
* -# @f$ (N \times 1 \times K) @f$ or, if out_max_val
* @f$ (N \times 2 \times K) @f$ unless axis set than e.g.
* @f$ (N \times K \times H \times W) @f$ if axis == 1
* the computed outputs @f$
* y_n = \arg\max\limits_i x_{ni}
* @f$ (for @f$ K = 1 @f$).
*/
virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top);
/// @brief Not implemented (non-differentiable function)
virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {
NOT_IMPLEMENTED;
}
bool out_max_val_;
size_t top_k_;
bool has_axis_;
int axis_;
};
} // namespace caffe
#endif // CAFFE_ARGMAX_LAYER_HPP_
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