code: def densenet161(**kwargs):
      r"""Densenet-BC 161-layer model from the
      `"Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf>`_ paper.
  
      Parameters
      ----------
      pretrained : bool, default False
          Whether to load the pretrained weights for model.
      device : Device, default CPU
          The device in which to load the pretrained weights.
      root : str, default '$MXNET_HOME/models'
          Location for keeping the model parameters.
      """
      return get_densenet(161, **kwargs)
  
file_path: mxnet/python/mxnet/gluon/model_zoo/vision/densenet.py
imports: import os
  from ....device import cpu
  from ...block import HybridBlock
  from ...None import nn
  from ....None import base
  from ....util import use_np, wrap_ctx_to_device_func
label_desc: Use image node_id 6 for calling a global function with example usage: densenet161() and returns: get_densenet