class_docstr: Decoder interface wrapper for CTCPrefixScore.
class_docstr_tok: ["Decoder","interface","wrapper","for","CTCPrefixScore","."]
docstr: Get an initial state for decoding.
  
  Args:
      x (torch.Tensor): The encoded feature tensor
  
  Returns: initial state
docstr_tok: ["Get","an","initial","state","for","decoding",".","Args",":","x","(","torch.Tensor",")",":","The","encoded","feature","tensor","Returns",":","initial","state"]
code: def batch_init_state(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)
      )  # assuming batch_size = 1
      xlen = torch.tensor([logp.size(1)])
      self.impl = CTCPrefixScoreTH(logp, xlen, 0, self.eos)
      return None
  
file_path: espnet/espnet/nets/scorers/ctc.py
imports: import numpy
  import torch
  from espnet.nets.ctc_prefix_score import CTCPrefixScore, CTCPrefixScoreTH
  from espnet.nets.scorer_interface import BatchPartialScorerInterface
label_desc: Use image node_id 5 for calling the CTCPrefixScorer obj's underlying member method code with example usage: obj.batch_init_state(x) and returns: None