code: def _add_transform_config(self, config):
      config.update(
          {
              "n_aggregators": self._aggregator_distance.units,
              "n_filters": self._output_feature_transform.units,
              "n_propagate": self._input_feature_transform.units,
          }
      )
  
imports: import tensorflow.keras
  from qkeras import QActivation, QDense, ternary
label_desc: Use image node_id 13 for calling the GarNet obj's underlying member method code with example usage: obj._add_transform_config(config) without return types