code: def data_gen_for_audio_classification():
      # labels (`torch.LongTensor` of shape `(batch_size,)`, *optional*):
      #         Labels for computing the sequence classification/regression loss. Indices should be in `[0, ...,
      #         config.num_labels - 1]`. If `config.num_labels == 1` a regression loss is computed (Mean-Square loss), If
      #         `config.num_labels > 1` a classification loss is computed (Cross-Entropy).
      # `WhisperForAudioClassification` does not need `decoder_input_ids`
      data = data_gen()
      data.pop("decoder_input_ids")
      data["labels"] = torch.tensor([1], dtype=torch.int64)
      return data
  
imports: import torch
  import transformers
  from ..registry import ModelAttribute, model_zoo
label_desc: Use image node_id 3 for calling a global function with example usage: data_gen_for_audio_classification() and returns: data