'Aggregate the metrics for voxel generation model.
Args:
inputs: Input dictionary of the voxel generation model.
outputs: Output dictionary returned by the voxel generation model.
Returns:
names_to_values: metrics->values (dict).
names_to_updates: metrics->ops (dict).'

def get_metrics(self, inputs, outputs):

    names_to_values = dict()
    names_to_updates = dict()
    (tmp_values, tmp_updates) = metrics.add_volume_iou_metrics(inputs, outputs)
    names_to_values.update(tmp_values)
    names_to_updates.update(tmp_updates)
    for (name, value) in names_to_values.iteritems():
        slim.summaries.add_scalar_summary(value, name, prefix='eval', print_summary=True)
    return (names_to_values, names_to_updates)
