libcw/cwNN.cpp
2020-10-30 09:40:39 -04:00

121 lines
1.9 KiB
C++

#include "cwCommon.h"
#include "cwLog.h"
#include "cwCommonImpl.h"
#include "cwMem.h"
#include "cwFile.h"
#include "cwNN.h"
/*
*/
namespace cw
{
namespace nn
{
typedef struct layer_desc_str
{
unsigned layerTId;
unsigned activationId;
unsigned weightInitId;
unsigned biasInitId;
} layer_desc_t;
typedef struct network_desc_str
{
layer_desc_t* layers;
unsigned layerN;
} network_desc_t;
typedef struct layer_str
{
const layer_desc_t* desc;
const mtx::d_t* iM;
mtx::d_t wM;
mtx::d_t aM;
} layer_t;
typedef struct nn_str
{
const network_desc_t* desc;
layer_t* layerL;
} nn_t;
nn_t* _allocNet( nn_t* nn, const object_t& nnCfg, unsigned inNodeN )
{
}
nn_t* _initNet( nn_t* nn )
{
}
rc_t _netForward( nn_t* p )
{
}
rc_t _netReverse( nn_t* )
{
}
rc_t _batchUpdate( const mtx::d_t& ds, const train_args_t& args, unsigned ttlTrainExampleN )
{
}
rc_t train( handle_t h, dataset::handle_t dsH, const train_args_t& args )
{
mtx::d_t ds_mtx;
mtx::d_t label_mtx;
unsigned trainExampleN = dataset::example_count(dsH);
unsigned batchPerEpoch = trainExampleN/args.batchN;
for(unsigned i=0; i<epochN; ++i)
{
for(unsigned j=0; j<batchsPerEpoch; ++j)
{
dataset::batchd(dsH, j, ds_mtx, label_mtx,args.batchN, batchPerEpoch);
_batchUpdate(ds_mtx,args,ttlTrainExampleN);
}
}
}
}
rc_t test( const char* cfgFn, const char* projLabel )
{
object_t* cfg = nullptr;
rc_t rc = kOkRC;
if((rc = objectFromFile( cfgFn, cfg )) != kOkRC )
{
}
errLabel:
if( cfg != nullptr )
cfg->free();
return rc;
}
}