code: def __init__(self, inplanes=21):
      super(Mask, self).__init__()
      self.sig = nn.Sigmoid()
      self.relu = nn.ReLU(inplace=True)
      self.bn0 = nn.BatchNorm2d(inplanes)
      self.bn1 = nn.BatchNorm2d(8)
      self.bn2 = nn.BatchNorm2d(4)
      self.conv1 = nn.Conv2d(
          inplanes, 8, kernel_size=5, stride=1, padding=2, bias=False
      )
      self.conv2 = nn.Conv2d(
          8, 4, kernel_size=5, stride=1, padding=2, bias=False
      )
      self.conv3 = nn.Conv2d(
          4, 1, kernel_size=5, stride=1, padding=2, bias=False
      )
  
imports: import math
  import torch
  import torch.nn
  from torch.nn.parameter import Parameter
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new Mask object from inherited base classes: nn with example: obj = Mask(inplanes)