code: def __init__(self, in_chan, out_chan, *args, **kwargs):
      super(AttentionRefinementModule, self).__init__()
      self.conv = ConvBNReLU(
          in_chan, out_chan, ks=3, stride=1, padding=1
      )
      self.conv_atten = nn.Conv2d(
          out_chan, out_chan, kernel_size=1, bias=False
      )
      self.bn_atten = nn.BatchNorm2d(out_chan)
      self.sigmoid_atten = nn.Sigmoid()
      self.init_weight()
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from ParsingResnet import Resnet18
label_desc: Use image node_id 1 to create a new AttentionRefinementModule object from inherited base classes: nn with example: obj = AttentionRefinementModule(in_chan, out_chan)