/usr/include/torch/MatDataSet.h is in libtorch3-dev 3.1-2.1build1.
This file is owned by root:root, with mode 0o644.
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//
// This file is part of Torch 3.1.
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#ifndef MAT_DATA_SET_INC
#define MAT_DATA_SET_INC
#include "MemoryDataSet.h"
namespace Torch {
/** Matrix DataSet...
The standard dataset, with data fully loaded in memory.
Usefull for large databases.
@see IOAscii
@see IOBin
@author Ronan Collobert (collober@idiap.ch)
*/
class MatDataSet : public MemoryDataSet
{
private:
void init_(IOSequence *io_file, int n_inputs_, int n_targets_);
Allocator *io_allocator;
public:
/** Create a new dataset from the file #filename#. If the file contains only one sequence, set #one_file_is_one_sequence#
to true. If there is several sequences, and you want only to load the first #n# ones, set #max_load# to #n# (else #max_load#
should be a negative number). If #binary_mode# is true, the IOBin format will be used, else it will be the IOAscii format.
Input and target sequence will have the same number of frames. For \emph{each} frame given by the dataset, the first #n_inputs_#
real are for the inputs and then the next #n_targets_# real are for the targets. (#n_inputs_# is the input frame size and
#n_targets_# is the target frame size).
*/
MatDataSet(const char *filename, int n_inputs_, int n_targets_,
bool one_file_is_one_sequence=false, int max_load=-1, bool binary_mode=false);
/** Same as the previous constructor, but for several files. If #one_file_is_one_sequence# is true, each files will be considered as they
had only one sequence.
*/
MatDataSet(char **filenames, int n_files_, int n_inputs_, int n_targets_,
bool one_file_is_one_sequence=false, int max_load=-1, bool binary_mode=false);
/** Here the inputs and the targets are in separated files.
Input and target frame sizes are therefore auto-detected.
One file must correspond to one sequence.
*/
MatDataSet(char **input_filenames, char **target_filenames, int n_files_,
int max_load=-1, bool binary_mode=false);
virtual ~MatDataSet();
};
}
#endif
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