code: def __init__(self, in_ch, out_ch):
      super(DownLayer, self).__init__()
      self.maxpool_conv = nn.Sequential(
          nn.MaxPool2d(kernel_size=2), DoubleConv(in_ch, out_ch)
      )
  
imports: import torch.nn
  import torch.nn.functional
  import torch
label_desc: Use image node_id 1 to create a new DownLayer object from inherited base classes: nn with example: obj = DownLayer(in_ch, out_ch)