code: def forward(
      self, text: Tensor, text_lengths: Tensor
  ) -> Tuple[Tensor, Tensor, Tensor]:
      return self.model.infer(text, text_lengths)
  
imports: from typing import Tuple
  import torch
  from parameterized import parameterized
  from torch import Tensor
  from torchaudio.models import Tacotron2
  from torchaudio.models.tacotron2 import _Decoder, _Encoder
  from torchaudio_unittest.common_utils import skipIfPy310, TestBaseMixin, torch_script
label_desc: Use image node_id 2 for calling the Tacotron2InferenceWrapper obj's underlying member method code with example usage: obj.forward(text, text_lengths) and returns: self