code: def __init__(
      self,
      in_channels,
      res_channels,
      out_channels,
      dropout=0.25,
      bn_track=True,
  ):
      super(Branch, self).__init__()
      # Branch will never use spectral_normalization
      self.main = get_common_block(
          in_channels,
          dropout=dropout,
          bn_track=bn_track,
          use_spectral_norm=False,
      )
      self.sc = nn.Linear(in_channels + res_channels, in_channels)
      self.out = nn.Linear(in_channels, out_channels)
  
file_path: insightface/body/human_pose/ambiguity_aware/lib/models/building_blocks.py
imports: import math
  import torch
  import torch.nn
  from torch.nn.utils import spectral_norm
label_desc: Use image node_id 1 to create a new Branch object from inherited base classes: nn with example: obj = Branch(in_channels, res_channels, out_channels, dropout, bn_track)