code: def set_default_adaptor_args(args):
      args.adaptor_n_layers = getattr(args, "adaptor_n_layers", 3)
      args.adaptor_kernel_size = getattr(args, "adaptor_kernel_size", 3)
      args.adaptor_stride = getattr(args, "adaptor_stride", 2)
      args.adaptor_layerdrop = getattr(args, "adaptor_layerdrop", 0.0)
      args.adaptor_layernorm = getattr(args, "adaptor_layernorm", False)
      args.adaptor_proj = getattr(args, "adaptor_proj", False)
  
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 7 for calling a global function with example usage: set_default_adaptor_args(args) without return types