code: def set_inputs_and_targets(self, input, start_token, stop_token):
      inp = F.pad(input, (1, 0), value=start_token)
      tar = F.pad(input, (0, 1), value=stop_token)
      return inp, tar
  
imports: import functools
  import math
  import random
  import torch
  import torch.nn
  import torch.nn.functional
  from transformers import GPT2Config
  from TTS.tts.layers.xtts.gpt_inference import GPT2InferenceModel
  from TTS.tts.layers.xtts.latent_encoder import ConditioningEncoder
  from TTS.tts.layers.xtts.perceiver_encoder import PerceiverResampler
label_desc: Use image node_id 4 for calling the GPT obj's underlying member method code with example usage: obj.set_inputs_and_targets(input, start_token, stop_token) and returns: inp,  tar