/usr/include/torch/Trainer.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 TRAINER_INC
#define TRAINER_INC
#include "Object.h"
#include "Machine.h"
#include "DataSet.h"
#include "List.h"
#include "Measurer.h"
namespace Torch {
DEFINE_NEW_LIST(MeasurerList, Measurer);
/** Trainer.
A trainer takes a #Machine# and is able to train this machine on a given dataset
with the #train()# method.
For each machine, it should exist a trainer which knows how to train this machine.
Testing the machine is possible with the #test()# method.
@author Ronan Collobert (collober@idiap.ch)
*/
class Trainer : public Object
{
public:
Machine *machine;
//-----
///
Trainer(Machine *machine_);
//-----
/** Train the machine.
The Trainer has to call the measurers
when it want.
*/
virtual void train(DataSet *data_, MeasurerList *measurers) = 0;
/** Test the machine.
This method call all the measurers,
for all the examples of their associated
dataset.
It's already written...
*/
virtual void test(MeasurerList *measurers);
/** Make a table of measurers from a #List#.
Given a #List# of #measurers#,
and, if you want, a #train# #DataSet# (else NULL)
\begin{itemize}
\item Returns all datasets associated to the measurers in #datas#.
For i != j, (*datas)[i] != (*datas)[j].
Moreover, if #train# != NULL, (*datas)[0] = #train#.
\item Returns the list of measurers associated to (*datas)[i] in (*meas)[i].
\item Returns the number of measureurs associated to (*datas)[i] in (*n_meas)[i].
\item Returns in *n_datas the number of datasets in *datas.
\end{itemize}
Returns an allocator to all the memory allocated by the function.
You have to delete this allocator by yourself.
*/
static Allocator *extractMeasurers(MeasurerList *measurers, DataSet *train, DataSet ***datas, Measurer ****meas, int **n_meas, int *n_datas);
/// By default, just load the machine
virtual void loadXFile(XFile *file);
/// By default, just save the machine
virtual void saveXFile(XFile *file);
//-----
virtual ~Trainer();
};
}
#endif
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