code: def test_inference(self):
      model = get_model()
      (
          input_dummy,
          input_lengths,
          mel_spec,
          mel_lengths,
      ) = _create_inputs()
      output_dict = model.inference(input_dummy)
      self.assertEqual(
          output_dict["model_outputs"].shape[2],
          config_global.out_channels,
      )
  
imports: import os
  import random
  import unittest
  from copy import deepcopy
  import torch
  from tests import get_tests_output_path
  from TTS.tts.configs.overflow_config import OverflowConfig
  from TTS.tts.layers.overflow.common_layers import Encoder, Outputnet, OverflowUtils
  from TTS.tts.layers.overflow.decoder import Decoder
  from TTS.tts.layers.overflow.neural_hmm import EmissionModel, NeuralHMM, TransitionModel
  from TTS.tts.models.overflow import Overflow
  from TTS.tts.utils.helpers import sequence_mask
  from TTS.utils.audio import AudioProcessor
label_desc: Use image node_id 2 for calling the TestOverflow obj's underlying member method code with example usage: obj.test_inference() without return types