docstr: Feed tensors with specific shape to Tacotron2 inference function and validate
  that it outputs with a tensor with expected shape.
code: def test_tacotron2_inference_output_shape(self, n_batch):
      r"""Feed tensors with specific shape to Tacotron2 inference function and validate
      that it outputs with a tensor with expected shape.
      """
      n_mels = 40
      max_text_length = 100
      decoder_max_step = 200  # make inference more efficient
      gate_threshold = (
          0.51  # if set to 0.5, the model will only run one step
      )
  
      model = (
          _get_tacotron2_model(
              n_mels,
              decoder_max_step=decoder_max_step,
              gate_threshold=gate_threshold,
          )
          .to(self.device)
          .eval()
      )
      inputs = self._get_inference_inputs(n_batch, max_text_length)
  
      mel_out, mel_specgram_lengths, alignments = model.infer(*inputs)
  
      # There is no guarantee on exactly what max_mel_specgram_length should be
      # We only know that it should be smaller than model.decoder.decoder_max_step
      assert len(mel_out.size()) == 3
      assert mel_out.size()[:2] == (
          n_batch,
          n_mels,
      )
      assert mel_out.size()[2] == mel_specgram_lengths.max().item()
      assert len(mel_specgram_lengths.size()) == 1
      assert mel_specgram_lengths.size()[0] == n_batch
      assert (
          mel_specgram_lengths.max().item()
          <= model.decoder.decoder_max_step
      )
      assert len(alignments.size()) == 3
      assert alignments.size()[0] == n_batch
      assert alignments.size()[1] == mel_specgram_lengths.max().item()
      assert alignments.size()[2] == max_text_length
  
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 7 for calling the Tacotron2Tests obj's underlying member method code with example usage: obj.test_tacotron2_inference_output_shape(n_batch) without return types