code: def set_from_config(config_json, init=None):
      _id = config_json["_id"]
      miniblocks = []
      for _i, miniblock_config in enumerate(config_json["miniblocks"]):
          miniblock_init = (
              init["miniblocks"][_i] if init is not None else None
          )
          miniblock = LayerMultiBranch.set_from_config(
              miniblock_config, miniblock_init
          )
          miniblocks.append(miniblock)
      return DenseBlock(_id, miniblocks)
  
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 9 for calling the DenseBlock obj's underlying member method code with example usage: obj.set_from_config(config_json, init) and returns: DenseBlock