docstr: Given an input batch it computes the output probabilities.
code: def compute_forward(self, batch, stage):
      "Given an input batch it computes the output probabilities."
      batch = batch.to(self.device)
      wavs, lens = batch.sig
      feats = self.modules.compute_features(wavs)
      feats = self.modules.mean_var_norm(feats, lens)
      x = self.modules.model(feats)
      x = self.modules.lin(x)
      outputs = self.hparams.softmax(x)
  
      return outputs, lens
  
file_path: speechbrain/tests/integration/ASR_CTC/example_asr_ctc_experiment.py
imports: import pathlib
  import speechbrain
  from hyperpyyaml import load_hyperpyyaml
label_desc: Use image node_id 1 for calling the CTCBrain obj's underlying member method code with example usage: obj.compute_forward(batch, stage) and returns: outputs,  lens