code: def check_args(cls, condition, is_strict, msg):
      if condition:
          return
      if is_strict:
          raise ValueError(msg)
      logger.warn(msg)
  
imports: import logging
  from collections import OrderedDict, namedtuple
  import torch.nn
  from fairseq import checkpoint_utils, utils
  from fairseq.checkpoint_utils import load_checkpoint_to_cpu
  from fairseq.file_io import PathManager
  from fairseq.models import register_model, register_model_architecture
  from fairseq.models.speech_to_text import SpeechWavTransformerEncoder, StackedSpeechWavTransformerEncoder, TransformerDecoder
  from fairseq.models.transformer import TransformerEncoder
  from .s2t_dualinputtransformer import DualInputEncoder, DualInputS2TTransformerModel, TransformerMultiInputDecoder
label_desc: Use image node_id 6 for calling the DualInputWavTransformerModel obj's underlying member method code with example usage: obj.check_args(cls, condition, is_strict, msg) without return types