code: def __init__(
      self,
      in_channels,
      hidden_channels,
      num_heads,
      num_layers,
      dropout_p=0.1,
      cond_channels=None,
  ):  # pylint: disable=unused-argument
      self.fft = FFTransformerBlock(
          in_channels, num_heads, hidden_channels, num_layers, dropout_p
      )
      self.proj = nn.Linear(in_channels, 1)
  
file_path: TTS/TTS/tts/layers/generic/transformer.py
imports: import torch
  import torch.nn.functional
  from torch import nn
label_desc: Use image node_id 1 to create a new FFTDurationPredictor object  with example: obj = FFTDurationPredictor(in_channels, hidden_channels, num_heads, num_layers, dropout_p, cond_channels)