76 lines
1.3 KiB
C++
76 lines
1.3 KiB
C++
#include "cwCommon.h"
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#include "cwLog.h"
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#include "cwCommonImpl.h"
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#include "cwMem.h"
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#include "cwFile.h"
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#include "cwNN.h"
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namespace cw
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{
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namespace nn
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{
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template< typename R >
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struct input_str
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{
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R* x;
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unsigned dimN;
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unsigned* dimV;
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};
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typedef struct dense_str
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{
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unsigned xN; // count of neurons in src layer
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unsigned yN; // count of neurons in this layer
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real_t* wM; // wM[ xN, yN ] weight matrix
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real_t* bV; // bV[ yN ] bias vector
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real_t* yV; // scaled input + bias
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real_t* aV; // activation output
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real_t* dV; // contribution to cost for each neurode
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real_t* gV; // C gradient wrt weight at each neurode
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} dense_t;
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typedef struct layer_str
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{
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} layer_t;
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typedef struct nn_str
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{
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} nn_t;
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void _mtx_mul( R* z, R* m, R* x, unsigned mN, unsigned mM )
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{
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}
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void _add( R* y, R* x, unsigned n )
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{
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}
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void _activation( dense_t* l )
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{
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}
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void _dense_forward( dense_t* l0, dense_t* l1 )
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{
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assert( l1->wM.dimV[1] == l0->yN );
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assert( l1->wM.dimV[0] == l1->yN );
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_mtx_mult( l1->zV, l1->wM.base, l0->aV, l0->yN, l1->yN );
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_add( l1->zV, l1->bV, l1->yN );
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_activation(l1)
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}
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}
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}
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