code: def _create_inputs(batch_size=8):
      input_dummy = (
          torch.randint(0, 24, (batch_size, 128)).long().to(device)
      )
      input_lengths = (
          torch.randint(100, 129, (batch_size,)).long().to(device)
      )
      input_lengths[-1] = 128
      mel_spec = torch.rand(batch_size, 30, c.audio["num_mels"]).to(
          device
      )
      mel_lengths = (
          torch.randint(20, 30, (batch_size,)).long().to(device)
      )
      speaker_ids = torch.randint(0, 5, (batch_size,)).long().to(device)
      return (
          input_dummy,
          input_lengths,
          mel_spec,
          mel_lengths,
          speaker_ids,
      )
  
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 1 for calling the TestGlowTTS obj's underlying member method code with example usage: obj._create_inputs(batch_size) and returns: input_dummy,  input_lengths,  mel_spec,  mel_lengths,  speaker_ids