code: def HRFormer_base_win_15(**kwargs):
      arch_net = HighResolutionTransformer(
          stage2_num_channels=[78, 156],
          stage2_num_heads=[2, 4],
          stage2_num_window_sizes=[15, 15],
          stage3_num_channels=[78, 156, 312],
          stage3_num_heads=[2, 4, 8],
          stage3_num_window_sizes=[15, 15, 15],
          stage4_num_channels=[78, 156, 312, 624],
          stage4_num_heads=[2, 4, 8, 16],
          stage4_num_window_sizes=[15, 15, 15, 15],
          **kwargs,
      )
  
      return arch_net
  
imports: 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, logger
  from paddleseg.models.backbones.transformer_utils import *
label_desc: Use image node_id 4 for calling a global function with example usage: HRFormer_base_win_15() and returns: arch_net