    def get_normalized_probs(self, net_output, log_probs, sample=None):
        """Get normalized probabilities (or log probs) from a net's output."""
        encoder_out = net_output["encoder_out"]
        if torch.is_tensor(encoder_out):
            logits = encoder_out.float()
            if log_probs:
                return F.log_softmax(logits, dim=-1)
            else:
                return F.softmax(logits, dim=-1)
        raise NotImplementedError
Get normalized probabilities (or log probs) from a net's output.
fairseq/models/fairseq_model.py