code: def dla34(**kwargs):
      """DLA 34 layer network for image classification.
  
      Returns
      -------
      HybridBlock
          A DLA34 network.
  
      """
      model = get_dla(
          34,
          levels=[1, 1, 1, 2, 2, 1],
          channels=[16, 32, 64, 128, 256, 512],
          block=BasicBlock,
          **kwargs,
      )
      return model
  
imports: from __future__ import division
  import os
  import mxnet
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
  from mxnet.gluon.nn import BatchNorm
label_desc: Use image node_id 3 for calling a global function with example usage: dla34() and returns: model