/usr/include/torch/StochasticGradient.h is in libtorch3-dev 3.1-2.1.
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 STOCHASTIC_GRADIENT_INC
#define STOCHASTIC_GRADIENT_INC
#include "Trainer.h"
#include "GradientMachine.h"
#include "DataSet.h"
#include "Criterion.h"
namespace Torch {
/** Trainer for GradientMachine.
Given a machine and a criterion, train the machine using
a stochastic gradient descent.
Options:
\begin{tabular}{lcll}
"end accuracy" & real & end accuracy & [0.0001]\\
"learning rate" & real & learning rate & [0.01]\\
"learning rate decay" & real & learning rate decay & [0]\\
"max iter" & int & maximum number of iterations & [-1]\\
"shuffle" & bool & shuffle the dataset & [true]
\end{tabular}
@author Ronan Collobert (collober@idiap.ch)
*/
class StochasticGradient : public Trainer
{
public:
Criterion *criterion;
real learning_rate;
real learning_rate_decay;
real end_accuracy;
int max_iter;
bool do_shuffle;
//-----
/** Take the #machine_# to train, the train #data_#, the #criterion_#
to use, and the #optimizer_# to use.
*/
StochasticGradient(GradientMachine *machine_, Criterion *criterion_);
//-----
virtual void train(DataSet *data, MeasurerList *measurers);
virtual ~StochasticGradient();
};
}
#endif
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