code: def average_growth_rate(self):
      growth_rate_list = []
      for block in self.blocks:
          if isinstance(block, DenseBlock):
              for miniblock in block.miniblocks:
                  growth_rate = miniblock.out_features_dim
                  growth_rate_list.append(growth_rate)
      return np.mean(growth_rate_list)
  
imports: import tensorflow
  from models.basic_model import BasicModel
  from models.layers import ConvLayer, FCLayer, PoolLayer, get_magnifier, apply_noise
  from data_providers.base_provider import DataProvider
  from models.layer_cascade import LayerCascade
  from models.layer_multi_branch import LayerMultiBranch
  import numpy
label_desc: Use image node_id 10 for calling the DenseNetConfig obj's underlying member method code with example usage: obj.average_growth_rate() and returns: np