code: def build_aligned_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 torch
  import torch.nn
  import torch.nn.functional
  from transformers import GPT2Config, GPT2PreTrainedModel, LogitsProcessorList
  from transformers.modeling_outputs import CausalLMOutputWithCrossAttentions
  from TTS.tts.layers.tortoise.arch_utils import AttentionBlock, TypicalLogitsWarper
label_desc: Use image node_id 3 for calling the UnifiedVoice obj's underlying member method code with example usage: obj.build_aligned_inputs_and_targets(input, start_token, stop_token) and returns: inp,  tar