code: def __init__(
      self, num_chars, hidden_channels, hidden_channels_ffn, num_heads
  ):
      super().__init__()
      self.embed = nn.Embedding(num_chars, hidden_channels)
      self.pos_enc = PositionalEncoding(hidden_channels, dropout_p=0.1)
      self.FFT = FFTransformerBlock(
          hidden_channels, num_heads, hidden_channels_ffn, 2, 0.1
      )
      self.out_layer = nn.Conv1d(hidden_channels, 1, 1)
  
imports: from torch import nn
  from TTS.tts.layers.generic.pos_encoding import PositionalEncoding
  from TTS.tts.layers.generic.transformer import FFTransformerBlock
label_desc: Use image node_id 1 to create a new DurationPredictor object from inherited base classes: nn with example: obj = DurationPredictor(num_chars, hidden_channels, hidden_channels_ffn, num_heads)