class_docstr: Unsupervised ASR model.
  
  The source code is from FAIRSEQ:
  https://github.com/facebookresearch/fairseq/tree/main/examples/wav2vec/unsupervised
code: def number_updates(self):
      return self._number_updates
  
imports: import argparse
  import logging
  from contextlib import contextmanager
  from typing import Dict, Optional, Tuple
  import editdistance
  import torch
  import torch.nn.functional
  from packaging.version import parse
  from typeguard import check_argument_types
  from espnet2.asr.frontend.abs_frontend import AbsFrontend
  from espnet2.text.token_id_converter import TokenIDConverter
  from espnet2.torch_utils.device_funcs import force_gatherable
  from espnet2.train.abs_espnet_model import AbsESPnetModel
  from espnet2.uasr.discriminator.abs_discriminator import AbsDiscriminator
  from espnet2.uasr.generator.abs_generator import AbsGenerator
  from espnet2.uasr.loss.abs_loss import AbsUASRLoss
  from espnet2.uasr.segmenter.abs_segmenter import AbsSegmenter
  from espnet2.utils.types import str2bool
  from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
label_desc: Use image node_id 2 for calling the ESPnetUASRModel obj's underlying member method code with example usage: obj.number_updates() and returns: self