code: def __init__(self):
      self.net_config = {
          "model_type": None,
          "weight_decay": None,
          "first_ratio": None,
          "reduction": None,
          "bc_ratio": None,
          "bn_epsilon": None,
          "bn_decay": None,
          "pre_activation": None,
      }
      self.blocks = None
  
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 1 to create a new DenseNetConfig object  with example: obj = DenseNetConfig()