code: def __init__(
      self, in_channels, growth_rate, n_layers, upsample=False
  ):
      super().__init__()
      self.upsample = upsample
      self.layers = nn.ModuleList(
          [
              DenseLayer(in_channels + i * growth_rate, growth_rate)
              for i in range(n_layers)
          ]
      )
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new DenseBlock object from inherited base classes: nn with example: obj = DenseBlock(in_channels, growth_rate, n_layers, upsample)