/usr/include/torch/MeanVarNorm.h is in libtorch3-dev 3.1-2.1build1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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//
// This file is part of Torch 3.1.
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#ifndef MEAN_VAR_NORM_INC
#define MEAN_VAR_NORM_INC
#include "PreProcessing.h"
#include "DataSet.h"
namespace Torch {
/** In the constructor, it computes the mean and the standard deviation
over all the frames in the given DataSet (by default, only for inputs).
Then, when calling pre-processing methods, it normalizes each column
by this computed mean and stdv. (substracts the mean, then divides
by the standard deviation).
As a result, the mean of the full set of frames given by the concatenation
of all calls to #setExample()# will be 0, and the variance will be 1.
@author Ronan Collobert (collober@idiap.ch)
*/
class MeanVarNorm : public PreProcessing
{
private:
void normalizeSequence(Sequence *sequence, real *mean, real *stdv);
public:
/// Input frame size
int n_inputs;
/// Target frame size
int n_targets;
/// Inputs means array
real *inputs_mean;
/// Targets means array
real *targets_mean;
/// Inputs standard deviations array
real *inputs_stdv;
/// Targets standard deviations array
real *targets_stdv;
///
MeanVarNorm(DataSet *data, bool norm_inputs=true, bool norm_targets=false);
virtual void preProcessInputs(Sequence *inputs);
virtual void preProcessTargets(Sequence *targets);
/// Load means and standard deviations
virtual void loadXFile(XFile *file);
/// Save means and standard deviations
virtual void saveXFile(XFile *file);
virtual ~MeanVarNorm();
};
}
#endif
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