code: def forward(self, x):
      for layer in self.layers:
          x = F.dropout(
              layer(x), p=self.dropout
          )  # always applies dropout
      return x
  
imports: import logging
  import torch
  from torch import nn
  from torch.nn import functional
  from fairseq.models import FairseqEncoder, FairseqEncoderDecoderModel, FairseqIncrementalDecoder, register_model, register_model_architecture
  from fairseq.modules import LSTMCellWithZoneOut, LocationAttention
label_desc: Use image node_id 2 for calling the Prenet obj's underlying member method code with example usage: obj.forward(x) and returns: x