code: def hrnet_w18_small_v2_s(**kwargs):
      r"""hrnet_w18_small_v2 for cityscapes segmentation"""
      return get_hrnet(
          "w18_small_v2",
          stage_interp_type="bilinear_like",
          purpose="seg",
          norm_kwargs={"momentum": 0.99},
          num_classes=19,
          **kwargs,
      )
  
imports: import numpy
  from mxnet.gluon import contrib
  from mxnet.gluon import nn
  from mxnet.gluon.nn import BatchNorm
  from mxnet.context import cpu
  from .resnet import BasicBlockV1, BottleneckV1, _conv3x3
label_desc: Use image node_id 12 for calling a global function with example usage: hrnet_w18_small_v2_s() and returns: get_hrnet