code: def __init__(self, in_channels, out_channels):
      super().__init__()
  
      self.layer = nn.Sequential(
          ConvSamePad2d(
              in_channels=in_channels,
              out_channels=out_channels,
              kernel_size=1,
          ),
          nn.Sigmoid(),
      )
  
file_path: pywick/pywick/models/segmentation/testnets/unet_plus_plus.py
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new Final1x1ConvLayer object from inherited base classes: nn with example: obj = Final1x1ConvLayer(in_channels, out_channels)