#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; ifree(); return rc; } }