code: def _create_batch(self, config, batch_size):
      (
          input_dummy,
          input_lengths,
          mel,
          spec,
          mel_lengths,
          _,
      ) = self._create_inputs(config, batch_size)
      batch = {}
      batch["tokens"] = input_dummy
      batch["token_lens"] = input_lengths
      batch["spec_lens"] = mel_lengths
      batch["mel_lens"] = mel_lengths
      batch["spec"] = spec
      batch["mel"] = mel
      batch["waveform"] = torch.rand(
          batch_size, 1, config.audio["sample_rate"] * 10
      ).to(device)
      batch["d_vectors"] = None
      batch["speaker_ids"] = None
      batch["language_ids"] = None
      return batch
  
imports: import copy
  import os
  import unittest
  import torch
  from trainer.logging.tensorboard_logger import TensorboardLogger
  from tests import assertHasAttr, assertHasNotAttr, get_tests_data_path, get_tests_input_path, get_tests_output_path
  from TTS.config import load_config
  from TTS.encoder.utils.generic_utils import setup_encoder_model
  from TTS.tts.configs.vits_config import VitsConfig
  from TTS.tts.models.vits import Vits, VitsArgs, VitsAudioConfig, amp_to_db, db_to_amp, load_audio, spec_to_mel, wav_to_mel, wav_to_spec
  from TTS.tts.utils.speakers import SpeakerManager
label_desc: Use image node_id 20 for calling the TestVits obj's underlying member method code with example usage: obj._create_batch(config, batch_size) and returns: batch