code: def _test_forward_with_speaker_id(self, batch_size):
      (
          input_dummy,
          input_lengths,
          mel_spec,
          mel_lengths,
          speaker_ids,
      ) = self._create_inputs(batch_size)
      speaker_ids = (
          torch.randint(0, 24, (batch_size,)).long().to(device)
      )
      # create model
      config = GlowTTSConfig(
          num_chars=32,
          use_speaker_embedding=True,
          num_speakers=24,
      )
      model = GlowTTS.init_from_config(config, verbose=False).to(device)
      model.train()
      print(
          " > Num parameters for GlowTTS model:%s"
          % (count_parameters(model))
      )
      # inference encoder and decoder with MAS
      y = model.forward(
          input_dummy,
          input_lengths,
          mel_spec,
          mel_lengths,
          {"speaker_ids": speaker_ids},
      )
      self.assertEqual(y["z"].shape, mel_spec.shape)
      self.assertEqual(y["logdet"].shape, torch.Size([batch_size]))
      self.assertEqual(y["y_mean"].shape, mel_spec.shape)
      self.assertEqual(y["y_log_scale"].shape, mel_spec.shape)
      self.assertEqual(
          y["alignments"].shape,
          mel_spec.shape[:2] + (input_dummy.shape[1],),
      )
      self.assertEqual(
          y["durations_log"].shape, input_dummy.shape + (1,)
      )
      self.assertEqual(
          y["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 10 for calling the TestGlowTTS obj's underlying member method code with example usage: obj._test_forward_with_speaker_id(batch_size) without return types