code: def __init__(self, features):
      super().__init__()
  
      self.conv1 = nn.Conv2d(
          features,
          features,
          kernel_size=3,
          stride=1,
          padding=1,
          bias=True,
      )
      self.conv2 = nn.Conv2d(
          features,
          features,
          kernel_size=3,
          stride=1,
          padding=1,
          bias=False,
      )
      self.relu = nn.ReLU(inplace=True)
  
imports: import torch.nn
label_desc: Use image node_id 1 to create a new ResidualConvUnit object from inherited base classes: nn with example: obj = ResidualConvUnit(features)