code: def HRNet_W44(**kwargs):
      model = HRNet(
          stage1_num_modules=1,
          stage1_num_blocks=[4],
          stage1_num_channels=[64],
          stage2_num_modules=1,
          stage2_num_blocks=[4, 4],
          stage2_num_channels=[44, 88],
          stage3_num_modules=4,
          stage3_num_blocks=[4, 4, 4],
          stage3_num_channels=[44, 88, 176],
          stage4_num_modules=3,
          stage4_num_blocks=[4, 4, 4, 4],
          stage4_num_channels=[44, 88, 176, 352],
          **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
  import ppmatting
label_desc: Use image node_id 7 for calling a global function with example usage: HRNet_W44() and returns: model