code: def decode(self, outputs):
      with torch.no_grad():
          return self.post_processor(outputs).cpu().detach()
  
file_path: transformers/src/transformers/tools/text_to_speech.py
imports: import torch
  from ..models.speecht5 import SpeechT5ForTextToSpeech, SpeechT5HifiGan, SpeechT5Processor
  from ..utils import is_datasets_available
  from .base import PipelineTool
label_desc: Use image node_id 4 for calling the TextToSpeechTool obj's underlying member method code with example usage: obj.decode(outputs) and returns: self