std::pair<testing_result_smart_ptr, training_stat_smart_ptr> network_updater::update(
supervised_data_reader& reader,
const std::vector<std::vector<float> >& learning_rates,
network_data_smart_ptr data,
unsigned int batch_size,
float weight_decay,
float momentum,
const std::map<unsigned int, float>& layer_to_dropout_rate_map)
{
// Check data-schema consistency
data->check_network_data_consistency(*schema);
set_input_configuration_specific(reader.get_input_configuration());
// Check schema-reader consistency
layer_config_list[layer_config_list.size() - 1].check_equality(reader.get_output_configuration());
nnforge_uniform_real_distribution<float> dist(0.0F, 1.0F);
for(std::vector<float>::iterator it = random_uniform_list.begin(); it != random_uniform_list.end(); ++it)
*it = dist(gen);
std::pair<testing_result_smart_ptr, training_stat_smart_ptr> res = actual_update(reader, learning_rates, data, batch_size, weight_decay, momentum, layer_to_dropout_rate_map);
return res;
}
void stack_widget_update(StackWidget *sw)
{
/* We need all of it in order to update the widget! */
if(!sw->read_sp_callback || !sw->ram_read_callback || !sw->cpu || !sw->ram)
return;
sw->sp = sw->read_sp_callback(sw->cpu);
actual_update(sw);
}
void scroll_down(StackWidget *sw)
{
/* See scroll_up() */
if(sw->sp <= (STACK_WIDGET_ROWS / 2))
sw->sp = STACK_WIDGET_ROWS / 2 - 1;
else if(sw->sp >= 0x100 - (STACK_WIDGET_ROWS / 2))
sw->sp = 0xFF -( STACK_WIDGET_ROWS / 2);
else
sw->sp -= 1;
actual_update(sw);
}
void scroll_up(StackWidget *sw)
{
/*
* Yeah, this might be unclear, but the stack pointer of the CPU is of
* course not updated, only the internal one of this widget
*/
if(sw->sp >= 0x100 - (STACK_WIDGET_ROWS / 2))
sw->sp = 0xFF - (STACK_WIDGET_ROWS / 2);
else if(sw->sp < STACK_WIDGET_ROWS / 2)
sw->sp = STACK_WIDGET_ROWS / 2;
else
sw->sp += 1;
actual_update(sw);
}
