def METHOD_NAME(self, x: torch.Tensor):
    """Get an initial state for decoding.
    Args:
        x (torch.Tensor): The encoded feature tensor
    Returns: initial state
    """
    logp = self.ctc.log_softmax(x.unsqueeze(0)).detach().squeeze(0).cpu().numpy()
    # TODO(karita): use CTCPrefixScoreTH
    self.impl = CTCPrefixScore(logp, 0, self.eos, np)
    return 0, self.impl.initial_state()