void forward_cost_layer(cost_layer l, network_state state)
{
if (!state.truth) return;
if(l.cost_type == MASKED){
int i;
for(i = 0; i < l.batch*l.inputs; ++i){
if(state.truth[i] == SECRET_NUM) state.input[i] = SECRET_NUM;
}
}
if(l.cost_type == SMOOTH){
smooth_l1_cpu(l.batch*l.inputs, state.input, state.truth, l.delta);
} else {
copy_cpu(l.batch*l.inputs, state.truth, 1, l.delta, 1);
axpy_cpu(l.batch*l.inputs, -1, state.input, 1, l.delta, 1);
}
*(l.output) = dot_cpu(l.batch*l.inputs, l.delta, 1, l.delta, 1);
//printf("cost: %f\n", *l.output);
}
void forward_cost_layer(cost_layer l, network * net)
{
if (!net->truth) return;
if(l.cost_type == MASKED){
int i;
for(i = 0; i < l.batch*l.inputs; ++i){
if(net->truth[i] == SECRET_NUM) net->input[i] = SECRET_NUM;
}
}
if(l.cost_type == SMOOTH){
smooth_l1_cpu(l.batch*l.inputs, net->input, net->truth, l.delta, l.output);
}else if(l.cost_type == L1){
l1_cpu(l.batch*l.inputs, net->input, net->truth, l.delta, l.output);
} else {
l2_cpu(l.batch*l.inputs, net->input, net->truth, l.delta, l.output);
}
l.cost[0] = sum_array(l.output, l.batch*l.inputs);
}
