code: def __init__(self, in_channels, out_channels, downsample_factor):
      super(DBlock, self).__init__()
  
      self.in_channels = in_channels
      self.downsample_factor = downsample_factor
      self.out_channels = out_channels
  
      self.donwsample_layer = nn.AvgPool1d(
          downsample_factor, stride=downsample_factor
      )
      self.layers = nn.Sequential(
          nn.ReLU(),
          nn.Conv1d(
              in_channels, out_channels, kernel_size=3, padding=1
          ),
          nn.ReLU(),
          nn.Conv1d(
              out_channels,
              out_channels,
              kernel_size=3,
              dilation=2,
              padding=2,
          ),
      )
      self.residual = nn.Sequential(
          nn.Conv1d(in_channels, out_channels, kernel_size=1),
      )
  
imports: import numpy
  from torch import nn
label_desc: Use image node_id 1 to create a new DBlock object from inherited base classes: nn with example: obj = DBlock(in_channels, out_channels, downsample_factor)