class_docstr: Downscaling with maxpool then double conv
code: def __init__(self, in_channels, out_channels):
      super().__init__()
      self.maxpool_conv = nn.Sequential(
          nn.MaxPool2d(2), DoubleConv(in_channels, out_channels)
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new Down object from inherited base classes: nn with example: obj = Down(in_channels, out_channels)