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// Copyright (C) 2002 Samy Bengio (bengio@idiap.ch)
//
//
// This file is part of Torch. Release II.
// [The Ultimate Machine Learning Library]
//
// Torch is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// Torch is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with Torch; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
#include "MultiCriterion.h"
namespace Torch {
MultiCriterion::MultiCriterion(int n_criterions_,Criterion** criterions_,real* weights_)
{
n_criterions = n_criterions_;
criterions = criterions_;
n_inputs = criterions[0]->n_inputs;
weights = weights_;
if (weights) {
allocate_weights = false;
} else {
allocate_weights = true;
weights = (real*)xalloc(sizeof(real)*n_criterions);
for (int i=0;i<n_criterions;i++)
weights[i] = 1.;
}
}
void MultiCriterion::setDataSet(DataSet *data_)
{
data = data_;
for (int i=0;i<n_criterions;i++)
criterions[i]->setDataSet(data_);
}
void MultiCriterion::iterInitialize()
{
for (int i=0;i<n_criterions;i++)
criterions[i]->iterInitialize();
}
void MultiCriterion::reset()
{
for (int i=0;i<n_criterions;i++)
criterions[i]->reset();
}
void MultiCriterion::forward(List *inputs)
{
real *ptr_out = (real *)outputs->ptr;
*ptr_out = 0.;
real *w = weights;
for (int i=0;i<n_criterions;i++) {
criterions[i]->forward(inputs);
*ptr_out += *((real*)criterions[i]->outputs->ptr) * *w++;
}
}
void MultiCriterion::backward(List *inputs, real *alpha)
{
real *b = beta;
for (int i=0;i<n_inputs;i++)
*b++ = 0;
real *w = weights;
for (int i=0;i<n_criterions;i++,w++) {
criterions[i]->backward(inputs,alpha);
b = beta;
real* bi = criterions[i]->beta;
for (int j=0;j<n_inputs;j++)
*b++ += *bi++ * *w;
}
}
MultiCriterion::~MultiCriterion()
{
if (allocate_weights)
free(weights);
}
}
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