class_docstr: Joint model Enhancement and Speech to Text.
class_docstr_tok: ["Joint","model","Enhancement","and","Speech","to","Text","."]
docstr: Frontend + Encoder. Note that this method is used by asr_inference.py
  
  Args:
      speech: (Batch, Length, ...)
      speech_lengths: (Batch, )
docstr_tok: ["Frontend","+","Encoder",".","Note","that","this","method","is","used","by","asr_inference.py","Args",":","speech",":","(","Batch",",","Length",",","...",")","speech_lengths",":","(","Batch",",",")"]
code: def encode(
      self, speech: torch.Tensor, speech_lengths: torch.Tensor
  ) -> Tuple[torch.Tensor, torch.Tensor]:
      """Frontend + Encoder. Note that this method is used by asr_inference.py
  
      Args:
          speech: (Batch, Length, ...)
          speech_lengths: (Batch, )
      """
      (
          speech_pre,
          feature_mix,
          feature_pre,
          others,
      ) = self.enh_model.forward_enhance(speech, speech_lengths)
      num_spk = len(speech_pre)
      assert num_spk == self.enh_model.num_spk, (
          num_spk,
          self.enh_model.num_spk,
      )
  
      encoder_out, encoder_out_lens = zip(
          *[
              self.s2t_model.encode(sp, speech_lengths)
              for sp in speech_pre
          ]
      )
  
      return encoder_out, encoder_out_lens
  
imports: import logging
  import random
  from contextlib import contextmanager
  from typing import Dict, List, Tuple, Union
  import numpy
  import torch
  import torch.nn.functional
  from packaging.version import parse
  from scipy.optimize import linear_sum_assignment
  from typeguard import check_argument_types
  from espnet2.asr.espnet_model import ESPnetASRModel
  from espnet2.diar.espnet_model import ESPnetDiarizationModel
  from espnet2.enh.espnet_model import ESPnetEnhancementModel
  from espnet2.st.espnet_model import ESPnetSTModel
  from espnet2.torch_utils.device_funcs import force_gatherable
  from espnet2.train.abs_espnet_model import AbsESPnetModel
label_desc: Use image node_id 4 for calling the ESPnetEnhS2TModel obj's underlying member method code with example usage: obj.encode(speech, speech_lengths) and returns: encoder_out,  encoder_out_lens