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// Copyright (C) 2002 Ronan Collobert (collober@iro.umontreal.ca)
//
//
// 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 "InputsSelect.h"
namespace Torch {
InputsSelect::InputsSelect(int n_inputs_, int offset_, int n_selected_)
{
n_inputs = n_inputs_;
offset = offset_;
n_outputs = n_selected_;
}
int InputsSelect::numberOfParams()
{
return(0);
}
void InputsSelect::init()
{
GradientMachine::init();
for(int i = 0; i < offset; i++)
beta[i] = 0;
for(int i = offset+n_outputs; i < n_inputs; i++)
beta[i] = 0;
}
void InputsSelect::forward(List *inputs)
{
real *ptr_out = (real *)outputs->ptr;
int k = 0;
while(inputs)
{
if(k+inputs->n < offset)
k += inputs->n;
else
{
real *x = (real *)inputs->ptr;
for(int i = 0; i < inputs->n; i++)
{
if(k >= offset)
{
*ptr_out++ = *x;
if(k >= offset+n_outputs-1)
break;
}
x++;
k++;
}
}
if(k >= offset+n_outputs)
break;
inputs = inputs->next;
}
}
void InputsSelect::backward(List *inputs, real *alpha)
{
real *ptr_beta = beta + offset;
for(int i = 0; i < n_outputs; i++)
*ptr_beta++ = *alpha++;
}
InputsSelect::~InputsSelect()
{
}
}
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