code: def get_fastscnn_citys(**kwargs):
      r"""Fast-SCNN: Fast Semantic Segmentation Network
      Parameters
      ----------
      dataset : str, default cityscapes
      ctx : Context, default CPU
          The context in which to load the pretrained weights.
  
      Examples
      --------
      >>> model = get_fastscnn_citys()
      >>> print(model)
      """
      return get_fastscnn("citys", **kwargs)
  
imports: from mxnet.context import cpu
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
label_desc: Use image node_id 3 for calling a global function with example usage: get_fastscnn_citys() and returns: get_fastscnn