code: def __init__(
      self,
      num_branches,
      blocks,
      num_blocks,
      num_inchannels,
      num_channels,
      num_heads,
      num_window_sizes,
      num_mlp_ratios,
      multi_scale_output=True,
      drop_path=0.0,
  ):
      super(HighResolutionTransformerModule, self).__init__()
  
      self._check_branches(
          num_branches, num_blocks, num_inchannels, num_channels
      )
  
      self.num_inchannels = num_inchannels
      self.num_branches = num_branches
  
      self.multi_scale_output = multi_scale_output
      self.branches = self._make_branches(
          num_branches,
          blocks,
          num_blocks,
          num_channels,
          num_heads,
          num_window_sizes,
          num_mlp_ratios,
          drop_path,
      )
      self.fuse_layers = self._make_fuse_layers()
      self.relu = nn.ReLU()
  
      self.num_heads = num_heads
      self.num_window_sizes = num_window_sizes
      self.num_mlp_ratios = num_mlp_ratios
  
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 1 to create a new HighResolutionTransformerModule object from inherited base classes: nn with example: obj = HighResolutionTransformerModule(num_branches, blocks, num_blocks, num_inchannels, num_channels, num_heads, num_window_sizes, num_mlp_ratios, multi_scale_output, drop_path)