code: def __init__(self, input_size, hidden_size, factor):
      super().__init__()
      self.factor = factor
      self.res_block = Conv1d(input_size, hidden_size, 1)
      self.main_block = nn.ModuleList(
          [
              Conv1d(input_size, hidden_size, 3, dilation=1, padding=1),
              Conv1d(
                  hidden_size, hidden_size, 3, dilation=2, padding=2
              ),
              Conv1d(
                  hidden_size, hidden_size, 3, dilation=4, padding=4
              ),
          ]
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.utils import weight_norm
label_desc: Use image node_id 1 to create a new DBlock object from inherited base classes: nn with example: obj = DBlock(input_size, hidden_size, factor)