/// Save the ANN to a C file handle.
int SaveANN(ANN* ann, FILE* f)
{
if (f==NULL) {
return -1;
}
StringBuffer* rtag = NewStringBuffer (256);
WriteToken("VSOUND_ANN", f);
fwrite(&ann->n_inputs, sizeof(int), 1, f);
fwrite(&ann->n_outputs, sizeof(int), 1, f);
WriteToken("Layer Data", f);
int n_layers = 0;
LISTITEM* list_item = FirstListItem(ann->c);
while (list_item) {
n_layers++;
list_item = NextListItem (ann->c);
}
fwrite(&n_layers, sizeof(int), 1, f);
list_item = FirstListItem(ann->c);
for (int i=0; i<n_layers-1; i++) {
Layer* l = (Layer*) list_item->obj;
int layer_type = 0;
WriteToken("TYPE", f);
fwrite(&layer_type, sizeof(int), 1, f);
int nhu = l->n_outputs;
WriteToken("UNITS", f);
fwrite(&nhu, sizeof(int), 1, f);
list_item = NextListItem (ann->c);
}
WriteToken("Output Type", f);
{
int layer_type = 0;
LISTITEM *c;
c = LastListItem(ann->c);
if (c) {
Layer *l = (Layer *) c->obj;
if (l->f==&linear) {
layer_type = 0;
} else {
layer_type = 1;
}
}
fwrite(&layer_type, sizeof(int), 1, f);
}
list_item = FirstListItem(ann->c);
while(list_item) {
Layer* l = (Layer*) list_item->obj;
WriteToken("Connections", f);
int size = (l->n_inputs + 1 /*bias*/) * l->n_outputs;
fwrite(l->c, size, sizeof(Connection), f);
list_item = NextListItem(ann->c);
}
WriteToken("END", f);
FreeStringBuffer (&rtag);
return 0;
}
//==========================================================
// ANN_BatchAdapt
//----------------------------------------------------------
/// Adapt the parameters after a series of patterns has been seen.
void ANN_BatchAdapt(ANN * ann)
{
LISTITEM *c;
c = FirstListItem(ann->c);
while (c) {
Layer *l = (Layer *) c->obj;
ANN_LayerBatchAdapt(l);
c = NextListItem(ann->c);
}
}
//==========================================================
// ANN_ShowInputs()
//----------------------------------------------------------
/// Dump inputs to all layers on stdout.
real ANN_ShowInputs(ANN * ann)
{
LISTITEM *c;
real sum = 0.0f;
c = FirstListItem(ann->c);
while (c) {
Layer *l = (Layer *) c->obj;
sum += ANN_LayerShowInputs(l);
c = NextListItem(ann->c);
}
return sum;
}
//==========================================================
// ANN_SetBatchMode
//----------------------------------------------------------
/// Set batch updates.
void ANN_SetBatchMode(ANN * ann, bool batch)
{
LISTITEM *c;
ann->batch_mode = batch;
c = FirstListItem(ann->c);
while (c) {
Layer *l = (Layer *) c->obj;
l->batch_mode = batch;
c = NextListItem(ann->c);
}
}
//==========================================================
// ANN_SetZeta()
//----------------------------------------------------------
/// Set zeta, parameter variance smoothing. Useful for
/// ANN_StochasticInput()
void ANN_SetZeta(ANN * ann, real zeta)
{
LISTITEM *c;
ann->zeta = zeta;
c = FirstListItem(ann->c);
while (c) {
Layer *l = (Layer *) c->obj;
l->zeta = zeta;
c = NextListItem(ann->c);
}
}
//==========================================================
// ANN_SetLambda()
//----------------------------------------------------------
/// Set lambda, eligibility decay.
void ANN_SetLambda(ANN * ann, real lambda)
{
LISTITEM *c;
ann->lambda = lambda;
c = FirstListItem(ann->c);
while (c) {
Layer *l = (Layer *) c->obj;
l->lambda = lambda;
c = NextListItem(ann->c);
}
}
//==========================================================
// ANN_SetLearningRate()
//----------------------------------------------------------
/// Set the learning rate to a
void ANN_SetLearningRate(ANN * ann, real a)
{
LISTITEM *c;
ann->a = a;
c = FirstListItem(ann->c);
while (c) {
Layer *l = (Layer *) c->obj;
l->a = a;
c = NextListItem(ann->c);
}
}
/// Load the ANN from a C file handle.
ANN* LoadANN(FILE* f)
{
if (f==NULL) {
return NULL;
}
StringBuffer* rtag = NewStringBuffer (256);
CheckMatchingToken("VSOUND_ANN", rtag, f);
int n_inputs;
int n_outputs;
fread(&n_inputs, sizeof(int), 1, f);
fread(&n_outputs, sizeof(int), 1, f);
ANN* ann = NewANN (n_inputs, n_outputs);
CheckMatchingToken("Layer Data", rtag, f);
int n_layers;
fread(&n_layers, sizeof(int), 1, f);
for (int i=0; i<n_layers-1; i++) {
int layer_type;
CheckMatchingToken("TYPE", rtag, f);
fread(&layer_type, sizeof(int), 1, f);
int nhu;
CheckMatchingToken("UNITS", rtag, f);
fread(&nhu, sizeof(int), 1, f);
if (layer_type==0) {
ANN_AddHiddenLayer(ann, nhu);
} else {
ANN_AddRBFHiddenLayer(ann, nhu);
}
}
{
int layer_type =0;
ANN_Init(ann);
CheckMatchingToken("Output Type", rtag, f);
fread(&layer_type, sizeof(int), 1, f);
if (layer_type==0) {
ANN_SetOutputsToLinear(ann);
} else {
ANN_SetOutputsToTanH(ann);
}
}
LISTITEM* list_item = FirstListItem(ann->c);
while (list_item) {
Layer* l = (Layer*) list_item->obj;
CheckMatchingToken("Connections", rtag, f);
int size = (l->n_inputs + 1 /*bias*/) * l->n_outputs;
fread(l->c, size, sizeof(Connection), f);
list_item = NextListItem (ann->c);
}
CheckMatchingToken("END", rtag, f);
FreeStringBuffer (&rtag);
return ann;
}
//==========================================================
// ANN_StochasticInput()
//----------------------------------------------------------
/// Stochastically generate an output, depending on parameter
/// distributions.
/// This is an option for people that understand what they
/// are doing.
real ANN_StochasticInput(ANN * ann, real * x)
{
LISTITEM *p = FirstListItem(ann->c);
Layer *first_layer = (Layer *) p->obj;
ann->x = x;
first_layer->x = x; // Setup input of first layer
// printf ("II: %f\n", ann->x[0]);
while (p) {
Layer *current_layer = (Layer *) p->obj;
// printf ("\tIII: %f\n", current_layer->x[0]);
current_layer->forward(current_layer, true);
p = NextListItem(ann->c);
}
return 0.0f;
}
//==========================================================
// ANN_Reset()
//----------------------------------------------------------
/// Resets the eligbility traces and batch updates.
void ANN_Reset(ANN * ann)
{
LISTITEM *p = FirstListItem(ann->c);
while (p) {
Layer *l = (Layer *) p->obj;
for (int i = 0; i < l->n_inputs + 1 /* bias */; i++) {
Connection *c = &l->c[i * l->n_outputs];
for (int j = 0; j < l->n_outputs; j++) {
c->e = 0.0;
c->dw = 0.0;
c++;
}
}
p = NextListItem (ann->c);
}
}
