class_docstr: Decoder interface wrapper for CTCPrefixScore.
docstr: 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
  
      """
      x[:, 0] = x[:, 0] - 100000000000  # simulate a no-blank CTC
      logp = torch.nn.functional.log_softmax(x, dim=1).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/uasr.py
imports: import numpy
  import torch
  from espnet.nets.ctc_prefix_score import CTCPrefixScore, CTCPrefixScoreTH
  from espnet.nets.scorers.ctc import CTCPrefixScorer
label_desc: Use image node_id 3 for calling the UASRPrefixScorer obj's underlying member method code with example usage: obj.batch_init_state(x) and returns: None