code: def __init__(self, in_channels, growth_rate, n_layers):
      super(Bottleneck, self).__init__()
      self.add_module(
          "bottleneck",
          DenseBlock(in_channels, growth_rate, n_layers, upsample=True),
      )
  
imports: import torch
  import torch.functional
  import torch.nn
label_desc: Use image node_id 1 to create a new Bottleneck object from inherited base classes: nn with example: obj = Bottleneck(in_channels, growth_rate, n_layers)