code: def test_multispeaker_inference(self):
      num_speakers = 10
      config = VitsConfig(
          num_speakers=num_speakers, use_speaker_embedding=True
      )
      model = Vits(config).to(device)
  
      batch_size = 1
      input_dummy, *_ = self._create_inputs(
          config, batch_size=batch_size
      )
      speaker_ids = (
          torch.randint(0, num_speakers, (batch_size,))
          .long()
          .to(device)
      )
      outputs = model.inference(
          input_dummy, {"speaker_ids": speaker_ids}
      )
      self._check_inference_outputs(
          config, outputs, input_dummy, batch_size=batch_size
      )
  
      batch_size = 2
      input_dummy, input_lengths, *_ = self._create_inputs(
          config, batch_size=batch_size
      )
      speaker_ids = (
          torch.randint(0, num_speakers, (batch_size,))
          .long()
          .to(device)
      )
      outputs = model.inference(
          input_dummy,
          {"x_lengths": input_lengths, "speaker_ids": speaker_ids},
      )
      self._check_inference_outputs(
          config, outputs, input_dummy, batch_size=batch_size
      )
  
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 16 for calling the TestVits obj's underlying member method code with example usage: obj.test_multispeaker_inference() without return types