code: def __init__(self, in_channels, out_channels, drop_rate=0.5):
      super().__init__()
      self.layer = nn.Sequential(
          ConvSamePad2d(
              in_channels=in_channels,
              out_channels=out_channels,
              kernel_size=3,
          ),
          nn.Dropout2d(p=drop_rate),
          ConvSamePad2d(
              in_channels=out_channels,
              out_channels=out_channels,
              kernel_size=3,
          ),
          nn.Dropout2d(p=drop_rate),
      )
  
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 StandardUnit object from inherited base classes: nn with example: obj = StandardUnit(in_channels, out_channels, drop_rate)