code: def override_decoder_args(cls, cli_args, decoder_args_dict):
      for k, v in decoder_args_dict.items():
          if v != getattr(cli_args, k, None):
              logger.warning(
                  f"Overriding decoder arg {k}: from {getattr(cli_args, k, None)} to {v}"
              )
              setattr(cli_args, k, v)
  
      return cli_args
  
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 8 for calling the XMTransformerModel obj's underlying member method code with example usage: obj.override_decoder_args(cls, cli_args, decoder_args_dict) and returns: cli_args