code: def __init__(
      self, add_ch=1, rgb_ch=3, ch=8, norm_layer=nn.BatchNorm2d
  ):
      super(SimpleInputFusion, self).__init__()
  
      self.fusion_conv = nn.Sequential(
          nn.Conv2d(
              in_channels=add_ch + rgb_ch,
              out_channels=ch,
              kernel_size=1,
          ),
          nn.LeakyReLU(negative_slope=0.2),
          norm_layer(ch),
          nn.Conv2d(in_channels=ch, out_channels=rgb_ch, kernel_size=1),
      )
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new SimpleInputFusion object from inherited base classes: nn with example: obj = SimpleInputFusion(add_ch, rgb_ch, ch, norm_layer)