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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
#ifndef IO_TORCH_INC
#define IO_TORCH_INC
#include "general.h"
#include "Object.h"
namespace Torch {
//-----
typedef struct BlkMem_
{
void *internal_alloc;
void **data;
void **targets;
int n_examples;
bool data_is_internal;
bool targets_is_internal;
} BlkMem;
//-----
/** Load and save file in the Torch format.
@author Ronan Collobert (collober@iro.umontreal.ca)
*/
class IOTorch : public Object
{
public:
BlkMem *blocks;
int n_blocks;
///
IOTorch();
int addBlkMem(void *internal_alloc, void **data, void **targets, int n_examples, bool data_is_internal, bool targets_is_internal);
void destroyBlkMem(int number);
//-----
/** Load the file #file#.
Each example must have #n_inputs# inputs and #n_targets# targets.
#bin# is #true# if the file is in binary format.
If #max_load# > 0, load only the first #max_load# examples.
Returns: \begin{itemize}
\item #data_# which contains all inputs (the memory allocation is done by this function)
\item #y_# which contains all targets (the memory allocation is done by this function)
\item #n_examples# which contains the real number of loaded examples.
\end{itemize}
*/
int loadData(const char *file, real ***data_, real ***y_, int n_inputs, int n_targets, int *n_examples, bool bin=false, int max_load=-1);
/// Sparse version of the previous function
int loadData(const char *file, sreal ***data_, real ***y_, int n_inputs, int n_targets, int *n_examples, bool bin=false, int max_load=-1);
/// Similar function, but to save data
void saveData(const char *file, real **data, real **y, int l, int n_inputs, int n_targets, bool bin=false, int max_save=-1);
/// Similar function, but to save sparse data
void saveData(const char *file, sreal **data, real **y, int l, int n_inputs, int n_targets, bool bin=false, int max_save=-1);
//-----
~IOTorch();
};
}
#endif
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