code: def __init__(self, in_channels, out_channels):
      super().__init__()
      self.out_channels = out_channels
      self.conv1 = nn.Conv1d(in_channels, in_channels, 1)
      self.norm = nn.LayerNorm(in_channels)
      self.relu = nn.ReLU()
      self.dropout = nn.Dropout(0.1)
      self.conv2 = nn.Conv1d(in_channels, out_channels, 1)
  
imports: from torch import nn
label_desc: Use image node_id 1 to create a new MDNBlock object from inherited base classes: nn with example: obj = MDNBlock(in_channels, out_channels)