code: def darknet53(**kwargs):
      """Darknet v3 53 layer network.
      Reference: https://arxiv.org/pdf/1804.02767.pdf.
  
      Parameters
      ----------
      norm_layer : object
          Normalization layer used (default: :class:`mxnet.gluon.nn.BatchNorm`)
          Can be :class:`mxnet.gluon.nn.BatchNorm` or :class:`mxnet.gluon.contrib.nn.SyncBatchNorm`.
      norm_kwargs : dict
          Additional `norm_layer` arguments, for example `num_devices=4`
          for :class:`mxnet.gluon.contrib.nn.SyncBatchNorm`.
  
      Returns
      -------
      mxnet.gluon.HybridBlock
          Darknet network.
  
      """
      return get_darknet("v3", 53, **kwargs)
  
file_path: gluon-cv/gluoncv/model_zoo/yolo/darknet.py
imports: from __future__ import absolute_import
  import os
  import mxnet
  from mxnet import gluon
  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: darknet53() and returns: get_darknet