class_docstr: Speech2Speech class.
docstr: Return sampling rate.
code: def fs(self) -> Optional[int]:
      """Return sampling rate."""
      if hasattr(self.vocoder, "fs"):
          return self.vocoder.fs
      elif hasattr(self.model.synthesizer, "fs"):
          return self.model.synthesizer.fs
      else:
          return None
  
imports: import argparse
  import logging
  import shutil
  import sys
  import time
  from pathlib import Path
  from typing import Any, Dict, List, Optional, Sequence, Tuple, Union
  import numpy
  import soundfile
  import torch
  from packaging.version import parse
  from typeguard import check_argument_types
  from espnet2.fileio.datadir_writer import DatadirWriter
  from espnet2.fileio.npy_scp import NpyScpWriter
  from espnet2.tasks.s2st import S2STTask
  from espnet2.text.build_tokenizer import build_tokenizer
  from espnet2.text.token_id_converter import TokenIDConverter
  from espnet2.torch_utils.device_funcs import to_device
  from espnet2.torch_utils.set_all_random_seed import set_all_random_seed
  from espnet2.utils import config_argparse
  from espnet2.utils.types import str2bool, str2triple_str, str_or_none
  from espnet.nets.batch_beam_search import BatchBeamSearch
  from espnet.nets.beam_search import BeamSearch, Hypothesis
  from espnet.nets.pytorch_backend.transformer.subsampling import TooShortUttError
  from espnet.nets.scorer_interface import BatchScorerInterface
  from espnet.nets.scorers.length_bonus import LengthBonus
  from espnet.utils.cli_utils import get_commandline_args
label_desc: Use image node_id 3 for calling the Speech2Speech obj's underlying member method code with example usage: obj.fs() and returns: self, self, None