code: def __init__(self, in_channels):
      super(TransitionDown, self).__init__()
      self.add_module("norm", nn.BatchNorm2d(num_features=in_channels))
      self.add_module("relu", nn.ReLU(inplace=True))
      self.add_module(
          "conv",
          nn.Conv2d(
              in_channels=in_channels,
              out_channels=in_channels,
              kernel_size=1,
              stride=1,
              padding=0,
              bias=True,
          ),
      )
      self.add_module("drop", nn.Dropout2d(0.2))
      self.add_module("maxpool", nn.MaxPool2d(2))
  
imports: import torch
  import torch.functional
  import torch.nn
label_desc: Use image node_id 1 to create a new TransitionDown object from inherited base classes: nn with example: obj = TransitionDown(in_channels)