class_docstr: Abstract decoder module.
class_docstr_tok: ["Abstract","decoder","module","."]
docstr: One-step forward hypotheses.
  
  Args:
      hyps: Hypotheses.
  
  Returns:
      out: Decoder output sequences.
      states: Decoder hidden states.
docstr_tok: ["One-step","forward","hypotheses",".","Args",":","hyps",":","Hypotheses",".","Returns",":","out",":","Decoder","output","sequences",".","states",":","Decoder","hidden","states","."]
code: def batch_score(
      self,
      hyps: List[Any],
  ) -> Tuple[
      torch.Tensor,
      Union[
          List[Dict[str, torch.Tensor]],
          List[torch.Tensor],
          Tuple[torch.Tensor, Optional[torch.Tensor]],
      ],
  ]:
      """One-step forward hypotheses.
  
      Args:
          hyps: Hypotheses.
  
      Returns:
          out: Decoder output sequences.
          states: Decoder hidden states.
  
      """
      raise NotImplementedError
  
file_path: espnet/espnet2/asr_transducer/decoder/abs_decoder.py
imports: from abc import ABC, abstractmethod
  from typing import Any, Dict, List, Optional, Tuple, Union
  import torch
label_desc: Use image node_id 3 for calling the AbsDecoder obj's underlying member method code with example usage: obj.batch_score(hyps) without return types