code: def _assert_inference_outputs(self, outputs, input_dummy, mel_spec):
      output_shape = outputs["model_outputs"].shape
      self.assertEqual(
          outputs["model_outputs"].shape[::2], mel_spec.shape[::2]
      )
      self.assertEqual(outputs["logdet"], None)
      self.assertEqual(outputs["y_mean"].shape, output_shape)
      self.assertEqual(outputs["y_log_scale"].shape, output_shape)
      self.assertEqual(
          outputs["alignments"].shape,
          output_shape[:2] + (input_dummy.shape[1],),
      )
      self.assertEqual(
          outputs["durations_log"].shape, input_dummy.shape + (1,)
      )
      self.assertEqual(
          outputs["total_durations_log"].shape, input_dummy.shape + (1,)
      )
  
imports: import copy
  import os
  import unittest
  import torch
  from torch import optim
  from trainer.logging.tensorboard_logger import TensorboardLogger
  from tests import get_tests_data_path, get_tests_input_path, get_tests_output_path
  from TTS.tts.configs.glow_tts_config import GlowTTSConfig
  from TTS.tts.layers.losses import GlowTTSLoss
  from TTS.tts.models.glow_tts import GlowTTS
  from TTS.tts.utils.speakers import SpeakerManager
  from TTS.utils.audio import AudioProcessor
label_desc: Use image node_id 12 for calling the TestGlowTTS obj's underlying member method code with example usage: obj._assert_inference_outputs(outputs, input_dummy, mel_spec) without return types