docstr: Add model-specific arguments to the parser.
code: def add_args(cls, parser):
      """Add model-specific arguments to the parser."""
      add_wav2vec_asr_args(parser)
      parser.add_argument(
          "--normalize",
          action="store_true",
          help="if set, normalizes input to have 0 mean and unit variance",
      )
      parser.add_argument(
          "--finetune-w2v-params",
          type=str,
          metavar="STR",
          help="comma-separated param strings to finetune.",
      )
      parser.add_argument("--w2v-freezing-updates", type=int)
      parser.add_argument(
          "--load-pretrained-encoder-from", type=str, metavar="STR"
      )
      Conv1dAdaptor.add_args(parser)
  
imports: import copy
  import logging
  from typing import Dict, List, Optional, Tuple
  import numpy
  import torch
  import torch.nn
  from torch import Tensor
  from fairseq import checkpoint_utils, utils
  from fairseq.data.data_utils import lengths_to_padding_mask
  from fairseq.models import FairseqEncoder, FairseqEncoderDecoderModel, FairseqEncoderModel, FairseqLanguageModel, register_model, register_model_architecture
  from fairseq.models.speech_to_speech.modules.ctc_decoder import CTCDecoder
  from fairseq.models.speech_to_text.hub_interface import S2THubInterface
  from fairseq.models.transformer import Embedding, TransformerDecoder, TransformerModelBase
  from fairseq.models.wav2vec import Wav2VecEncoder
  from fairseq.modules.layer_norm import LayerNorm
label_desc: Use image node_id 3 for calling the Wav2VecEncoderWithAdaptor obj's underlying member method code with example usage: obj.add_args(cls, parser) without return types