code: def get_decoder_args_from_checkpoint(cls, ckpt_args):
      assert (
          "model" in ckpt_args
      ), "Model args not found in checkpoint cfg!"
      decoder_args = {}
      for k, v in ckpt_args["model"].__dict__.items():
          if "decoder" in k:
              decoder_args[k] = v
  
      return decoder_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 7 for calling the XMTransformerModel obj's underlying member method code with example usage: obj.get_decoder_args_from_checkpoint(cls, ckpt_args) and returns: decoder_args