code: def reduction(self):
      return self.net_config["reduction"]
  
imports: import tensorflow
  from .basic_model import BasicModel
  from .layers import ConvLayer, FCLayer, PoolLayer, get_magnifier, apply_noise
  from ..data_providers.base_provider import DataProvider
  from .layer_cascade import LayerCascade
  from .layer_multi_branch import LayerMultiBranch
  import numpy
label_desc: Use image node_id 5 for calling the DenseNetConfig obj's underlying member method code with example usage: obj.reduction() and returns: self