code: def __init__(self, inplanes, planes, loss_weight=0.5):
      super(AuxHead, self).__init__()
      self.convs = ConvModule(
          inplanes,
          inplanes * 2,
          kernel_size=(1, 3, 3),
          stride=(1, 2, 2),
          padding=(0, 1, 1),
          bias=False,
      )
      self.loss_weight = loss_weight
      self.dropout = nn.Dropout(p=0.5)
      self.fc = nn.Linear(inplanes * 2, planes)
  
imports: import numpy
  import torch
  import torch.nn
  import torch.utils.checkpoint
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new AuxHead object from inherited base classes: nn with example: obj = AuxHead(inplanes, planes, loss_weight)