docstr: Appling encoder and decoder to the input features
code: def compute_forward(self, batch, stage):
      "Appling encoder and decoder to the input features"
      batch = batch.to(self.device)
      wavs, lens = batch.sig
      feats = self.hparams.compute_features(wavs)
      feats = self.modules.mean_var_norm(feats, lens)
  
      encoded = self.modules.linear1(feats)
      encoded = self.hparams.activation(encoded)
      decoded = self.modules.linear2(encoded)
  
      return decoded
  
file_path: speechbrain/tests/integration/autoencoder/example_auto_experiment.py
imports: import pathlib
  import speechbrain
  from hyperpyyaml import load_hyperpyyaml
label_desc: Use image node_id 1 for calling the AutoBrain obj's underlying member method code with example usage: obj.compute_forward(batch, stage) and returns: decoded