code: def __init__(self, upscale_factor):
      super(Net, self).__init__()
  
      self.relu = nn.ReLU()
      self.conv1 = nn.Conv2d(1, 64, (5, 5), (1, 1), (2, 2))
      self.conv2 = nn.Conv2d(64, 64, (3, 3), (1, 1), (1, 1))
      self.conv3 = nn.Conv2d(64, 32, (3, 3), (1, 1), (1, 1))
      self.conv4 = nn.Conv2d(
          32, upscale_factor**2, (3, 3), (1, 1), (1, 1)
      )
      self.pixel_shuffle = nn.PixelShuffle(upscale_factor)
  
      self._initialize_weights()
  
imports: import torch.nn
  import torch.nn.init
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: nn with example: obj = Net(upscale_factor)