code: def __init__(self, in_channels, out_channels):
      super(OutConv, self).__init__()
      self.conv = nn.Sequential(
          nn.Conv2d(in_channels, out_channels, kernel_size=1),
          nn.Sigmoid(),
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new OutConv object from inherited base classes: nn with example: obj = OutConv(in_channels, out_channels)