code: def HRNet_W18_Small_V1(**kwargs):
      model = HRNet(
          stage1_num_modules=1,
          stage1_num_blocks=[1],
          stage1_num_channels=[32],
          stage2_num_modules=1,
          stage2_num_blocks=[2, 2],
          stage2_num_channels=[16, 32],
          stage3_num_modules=1,
          stage3_num_blocks=[2, 2, 2],
          stage3_num_channels=[16, 32, 64],
          stage4_num_modules=1,
          stage4_num_blocks=[2, 2, 2, 2],
          stage4_num_channels=[16, 32, 64, 128],
          **kwargs,
      )
      return model
  
imports: import math
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager, param_init
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 1 for calling a global function with example usage: HRNet_W18_Small_V1() and returns: model