docstr: Given the network predictions and targets computed the MSE loss.
code: def compute_objectives(self, predictions, batch, stage):
      "Given the network predictions and targets computed the MSE loss."
      wavs, lens = batch.sig
      feats = self.hparams.compute_features(wavs)
      feats = self.modules.mean_var_norm(feats, lens)
      self.mse_metric.append(batch.id, predictions, feats, lens)
      return self.hparams.compute_cost(predictions, feats, lens)
  
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 2 for calling the AutoBrain obj's underlying member method code with example usage: obj.compute_objectives(predictions, batch, stage) and returns: self